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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2025.1641185</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Fibromyalgia diagnosis from a multi-omics approach: a gut feeling</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Dur&#x000E1;n-Gonz&#x000E1;lez</surname> <given-names>Elena</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Ram&#x000ED;rez-Tejero</surname> <given-names>Jorge Antol&#x000ED;n</given-names></name>
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</contrib>
<contrib contrib-type="author">
<name><surname>P&#x000E9;rez-S&#x000E1;nchez</surname> <given-names>Marta</given-names></name>
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<contrib contrib-type="author">
<name><surname>Morales-Torres</surname> <given-names>Carmen</given-names></name>
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</contrib>
<contrib contrib-type="author">
<name><surname>G&#x000F3;mez-Morano</surname> <given-names>Rosa</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/3090229/overview"/>
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<contrib contrib-type="author">
<name><surname>D&#x000ED;az-L&#x000F3;pez</surname> <given-names>Claudia</given-names></name>
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<contrib contrib-type="author">
<name><surname>Mart&#x000ED;nez-Lara</surname> <given-names>Antonio</given-names></name>
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<contrib contrib-type="author">
<name><surname>Cot&#x000E1;n</surname> <given-names>David</given-names></name>
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</contrib-group>
<aff><institution>Pronacera</institution>, <addr-line>Sevilla</addr-line>, <country>Spain</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jianan Zhao, Temple University, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Faheem Ahmed Khan, National Research and Innovation Agency (BRIN), Indonesia</p>
<p>Shreya Madhav Nuguri, The Ohio State University, United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Elena Dur&#x000E1;n-Gonz&#x000E1;lez <email>e.duran&#x00040;pronacera.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1641185</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Dur&#x000E1;n-Gonz&#x000E1;lez, Ram&#x000ED;rez-Tejero, P&#x000E9;rez-S&#x000E1;nchez, Morales-Torres, G&#x000F3;mez-Morano, D&#x000ED;az-L&#x000F3;pez, Mart&#x000ED;nez-Lara and Cot&#x000E1;n.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Dur&#x000E1;n-Gonz&#x000E1;lez, Ram&#x000ED;rez-Tejero, P&#x000E9;rez-S&#x000E1;nchez, Morales-Torres, G&#x000F3;mez-Morano, D&#x000ED;az-L&#x000F3;pez, Mart&#x000ED;nez-Lara and Cot&#x000E1;n</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Fibromyalgia is a complex disorder whose main symptoms are chronic widespread pain and fatigue and affects between 0.2 and 6.6% of the world population. Nowadays, there are no molecular biomarkers that could facilitate diagnosis. The latest efforts by researchers have focused on studying problems at the level of central nervous system sensitivity, inflammation, and oxidative disorders.</p></sec>
<sec>
<title>Methods</title>
<p>A total of 892 women were initially enrolled in the study. For individuals who met the inclusion criteria, a plasma proteome analysis was conducted using blood samples. Briefly, blood was collected, centrifuged, and analyzed by liquid nano-chromatography coupled to tandem mass spectrometry. After the raw data analysis, proteins with statistically significant differential abundance and a fold change over 1.2 (20% increase in fibromyalgia compared with control samples) or under 0.8 (20% decrease in fibromyalgia compared with control samples) in fibromyalgia were selected. For fecal metagenome analysis, fecal samples were collected and processed for DNA extraction. Amplicon sequencing of V3&#x02013;V4 regions from the 16S ribosomal RNA gene was performed using the Illumina MiSeq platform. The statistical analysis was conducted using R v4.3.2 base packages.</p></sec>
<sec>
<title>Results</title>
<p>After applying exclusion criteria, 242 women (199 patients and 43 age- and environmentally paired controls) provided plasma and feces samples, as well as properly filled health questionnaires. A total of 30 proteins and 19 taxa were differentially expressed in fibromyalgia patients, and their integration into an algorithm allows for discrimination between cases and controls. The multi-omic approach for biomarker discovery in this study proposes a multifactorial connection between gut microbiota and mitochondria-derived oxidative stress and inflammation.</p></sec>
<sec>
<title>Conclusions</title>
<p>Plasma and fecal multi-omics analysis suggest an intricate and multifactorial connection between gut microbiota and mitochondria-derived oxidative stress and inflammation in FM patients, with glyceraldehyde-3-phosphate dehydrogenase and <italic>Streptococcus salivarius</italic> as leading actors.</p></sec>
<sec>
<title>Trial registration</title>
<p>NCT05921409.</p></sec></abstract>
<kwd-group>
<kwd>fibromyalgia</kwd>
<kwd>diagnostic</kwd>
<kwd>proteome</kwd>
<kwd>microbiome</kwd>
<kwd>mitochondria</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="105"/>
<page-count count="18"/>
<word-count count="13077"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microorganisms in Vertebrate Digestive Systems</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>Fibromyalgia (FM) is a complex disorder whose main symptoms are chronic widespread pain and fatigue. Frequently, these symptoms are accompanied by a significant variety of related physical and psychological disturbances (<xref ref-type="bibr" rid="B47">Longley, 2006</xref>; <xref ref-type="bibr" rid="B13">Clauw, 2014</xref>). Despite the lack of knowledge about the etiopathogenesis and the complex diagnosis of the disorder, the prevalence ranges between 0.2 and 6.6% of the world population (<xref ref-type="bibr" rid="B52">Marques et al., 2017</xref>), with women accounting for approximately 89% of patients. To date, the non-specificity of the symptoms, the huge increase in worldwide prevalence, and the economic impact that it entails have turned FM into a pressing health and social issue. This evidence, together with the absence of molecular biomarkers that could facilitate diagnosis, underlines the extreme necessity of basic research on this chronic disorder.</p>
<p>Several physical and psychological disturbances such as migraine, muscle cramps, intestinal discomfort, sleep alterations, lack of short- and long-term memory, inability to concentrate, depression, stress, and anxiety, are recurrently reported by FM patients (<xref ref-type="bibr" rid="B93">Valera-Calero et al., 2022</xref>). To unveil the source of these symptoms, the latest efforts by the researchers have focused on studying problems at the level of central nervous system (CNS) sensitivity (<xref ref-type="bibr" rid="B29">Giorgi et al., 2023</xref>), inflammatory and oxidative disorders (<xref ref-type="bibr" rid="B18">Coskun Benlidayi, 2019</xref>), and even imbalances related to the intestinal microbiota (<xref ref-type="bibr" rid="B46">Liu et al., 2023</xref>).</p>
<p>Increasing evidence indicates that inflammatory processes occurring in peripheral tissues and the CNS, primarily in the spinal cord and the brain, are responsible for the pathophysiology of FM (<xref ref-type="bibr" rid="B6">Bains et al., 2023</xref>; <xref ref-type="bibr" rid="B66">O&#x00027;Mahony et al., 2021</xref>). The release of chemokines and cytokines leads to the activation of both the innate and adaptive immune systems, as well as neuroinflammation (<xref ref-type="bibr" rid="B45">Littlejohn and Guymer, 2018</xref>). These mechanisms are reflected in many of the peripheral clinical features reported by FM patients, such as swelling, dysesthesia, cognitive changes, and fatigue. This lack of energy that accompanies FM patients has been related to mitochondrial dysfunction and oxidative stress. In this sense, it has been shown that there is a correlation between oxidative processes and pain sensitization in FM patients. In this way, a deficiency in the function of enzymes such as superoxide dismutase 1 (SOD1), catalase (CAT), and nicotinamide adenine dinucleotide phosphate (NADPH) oxidase has been identified in FM patients (<xref ref-type="bibr" rid="B5">Assavarittirong et al., 2022</xref>), which correlates with the severity of pain and fatigue (<xref ref-type="bibr" rid="B78">Rus et al., 2021</xref>; <xref ref-type="bibr" rid="B4">Altindag and Celik, 2006</xref>). Likewise, certain studies have identified a lower total antioxidant capacity, accompanied by a greater presence of reactive oxygen species (ROS) in women with FM compared to the control group (<xref ref-type="bibr" rid="B78">Rus et al., 2021</xref>). As a whole, all these processes cause immunity deregulation and mitochondrial imbalances that, ultimately, can trigger peripheral neuroinflammatory processes (<xref ref-type="bibr" rid="B18">Coskun Benlidayi, 2019</xref>).</p>
<p>The gut-brain axis stands out as one of the recent alterations linked to FM. The main hypothesis indicates a connection between intestinal microbiota imbalance and the increase of intestinal permeability in patients, with the consequent alteration in digestion, immune response, and CNS signaling (<xref ref-type="bibr" rid="B22">Erdrich et al., 2020</xref>; <xref ref-type="bibr" rid="B30">Goebel et al., 2008</xref>). When the intestinal epithelial barrier is compromised, it can lead to increased intestinal permeability, allowing gram-negative bacteria to move through the mucosal lining and reach the blood flow. Their ability to produce neurotransmitters and their interaction with the primary function of the vagus nerve allows these bacteria to modulate the activity of the hypothalamic-pituitary-adrenal (HPA) axis (<xref ref-type="bibr" rid="B92">Tomasello et al., 2018</xref>). This situation allows direct interactions between intestinal microbiota components and humoral and cellular mediators from the immune system and the CNS, triggering an immune response characterized by increased production of inflammatory mediators (<xref ref-type="bibr" rid="B60">Moloney et al., 2016</xref>). Thus, several studies have observed changes in the composition of the gut microbiota in various disorders, including gastrointestinal, rheumatic, and metabolic conditions (<xref ref-type="bibr" rid="B100">Wang et al., 2022</xref>; <xref ref-type="bibr" rid="B1">Afzaal et al., 2022</xref>). In the FM context, a recent study has found a reduced bacterial diversity, as well as altered levels of glutamate and serine, suggesting changes in the metabolism of crucial neurotransmitters in the CNS signaling (<xref ref-type="bibr" rid="B14">Clos-Garcia et al., 2019</xref>). This innovative approach based on intestinal microbiota opens a new field for searching for biomarkers. Those biomarkers could also be modulated through diet therapy, which has been gaining relevance in FM management.</p>
<p>Advances in identifying inflammatory markers involved in FM have been largely made thanks to the development of omics techniques. Proteomics studies have been conducted in patients, primarily in saliva, serum, and cerebrospinal fluid. Therefore, (<xref ref-type="bibr" rid="B74">Ram&#x000ED;rez-Tejero et al. 2018</xref>) identified 33 plasma proteins with different expression in FM patients compared with volunteers, with most proteins linked to inflammatory processes. Another study in patients revealed differences in plasma proteins involved in inflammatory, metabolic, and immunological processes and demonstrated a correlation between these proteins, patients&#x00027; pain perception, and psychological distress (<xref ref-type="bibr" rid="B99">W&#x000E5;hl&#x000E9;n et al., 2020</xref>). Additionally, 22 differentially expressed proteins were identified in FM patients compared with pain-free volunteers, mainly associated with blood coagulation processes, immune response, and interactions with extracellular matrix receptors (<xref ref-type="bibr" rid="B34">Han et al., 2020</xref>). Among other findings, these results confirmed the promising utility of proteomics in the study of FM and demonstrate the roles of coagulation, inflammation, and the immune response in the disorder&#x00027;s pathogenesis.</p>
<p>In spite of the above-mentioned research, nowadays, the diagnosis and treatment of FM remain controversial. Traditionally, the diagnostic criteria of the American College of Rheumatology (ACR) have been followed (<xref ref-type="bibr" rid="B104">Wolfe et al., 1990</xref>, <xref ref-type="bibr" rid="B103">2011</xref>, <xref ref-type="bibr" rid="B102">2016</xref>), and most healthcare professionals treat their patients with numerous drugs focused on symptoms such as pain, depression, and fatigue. However, clinical recommendations from the European League Against Rheumatism (EULAR) and other organizations point to a multidisciplinary point of view of FM and its treatment (<xref ref-type="bibr" rid="B29">Giorgi et al., 2023</xref>; <xref ref-type="bibr" rid="B50">Macfarlane et al., 2017</xref>). Likewise, the latest trend is toward the use of highly individualized therapies combined with non-pharmacological approaches indeed (<xref ref-type="bibr" rid="B42">Kundakci et al., 2022</xref>).</p>
<p>In this context, this study is focused on biomarker discovery for FM in plasma and feces from 199 FM patients and 43 women as a control group, aiming to combine the analysis of both samples in a diagnostic panel for clinical practice.</p></sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Cohort recruitment</title>
<sec>
<title>Study population</title>
<p>To calculate the size of the cohort, the most comprehensive data on the estimated prevalence of FM in Spain published in 2008 were considered (<xref ref-type="bibr" rid="B55">Mas et al., 2008</xref>). These authors concluded that approximately 2.4% of the Spanish population was suffering from FM. Specifically, this prevalence reached 8.4% in the age range of 40&#x02013;49 years, whereas in women aged 50&#x02013;59, it was 6.7%. A sample size calculation was performed according to the protocol described by (<xref ref-type="bibr" rid="B62">Naing et al. 2006</xref>), with a 95% confidence interval (CI) and an &#x003B1; level of 0.05. The result of this sample size calculation was n = 198 (188 plus a 5% of the estimated withdrawal), which means that the cohort had to comprise at least 198 patients with FM to obtain adequate statistical power.</p>
<p>Participants were recruited, and all samples were collected between March 2020 and September 2020. Both FM patients and volunteers were Caucasian. Before the beginning of the project, participants completed an informed consent form and a patients&#x00027; information datasheet that have been approved by the Ethical Committee for Research with Medications (CEIM) at the Quir&#x000F3;nsalud-Catalunya Hospital Group (protocol code IDI-20210749, approval record No. 01/2022).</p></sec>
<sec>
<title>Inclusion criteria</title>
<p>Individuals included in the study were selected through an online survey sent to FM associations, allowing for effective recruitment and reaching a larger pool of potential participants. All the personal and clinical data were recorded and processed as required by the Spanish law (Organic Law 3/2018, of December 5th) (<xref ref-type="bibr" rid="B39">Jefatura del Estado, 2018</xref>). A total of 892 questionnaires were received with clinical information from potential patients and control subjects, who were subsequently selected according to the following inclusion criteria for both groups:</p>
<list list-type="simple">
<list-item><p>- Women within an age range of 40&#x02013;59 years, since these women are the most affected population group in Spain (<xref ref-type="bibr" rid="B55">Mas et al., 2008</xref>).</p></list-item>
<list-item><p>- Individuals with a BMI &#x0003E;18.5 and &#x0003C; 35.9.</p></list-item>
</list>
<p>As for exclusion criteria for both groups, the following conditions were established:</p>
<list list-type="simple">
<list-item><p>- Not being in the age or BMI range.</p></list-item>
<list-item><p>- Suffering from any type of cancer.</p></list-item>
<list-item><p>- Individuals who have undergone antibiotic treatment during the 30 days before the first sample extraction.</p></list-item>
</list>
<p>Additionally, for FM participants, a confirmed FM diagnosis by a healthcare professional, as defined by any ACR criteria, was required.</p>
<p>Although they were not considered exclusion criteria, clinical data on comorbidities and lifestyle habits were collected for analysis as potential confounding factors. Additional information was gathered about cardiovascular diseases (e.g., atherosclerosis, cardiomyopathy), autoimmune diseases (e.g., lupus, celiac disease, thyroiditis), or metabolic disorders (e.g., diabetes, metabolic syndrome). Besides, questions about pharmacological treatment with non-steroidal anti-inflammatory drugs, analgesics, antidepressants, antioxidants, lifestyle habits, diet, smoking, and alcohol consumption were also included in the questionnaires.</p></sec></sec>
<sec>
<title>Clinical data collection</title>
<p>All clinical and personal data collected in this study were handled confidentially and in compliance with applicable data protection regulations. Technical and organizational measures were implemented to ensure the anonymization of samples and the dissociation of any identifying information. Access to clinical information was restricted to authorized personnel and stored on secure servers with access control.</p>
<p>The participants answered two clinical questionnaires related to their health status. All of them have completed the Spanish version of the 36-item Short Form Survey health questionnaire (SF-36) following the methodology described by (<xref ref-type="bibr" rid="B98">Vilagut et al. 2005</xref>). This questionnaire assesses the physical and psychological wellbeing of the participants. The 36 questions cover eight specific scales: physical functioning (PF), role limitations due to physical health (PH), pain (P), general health perceptions (GH), vitality (V), social functioning (SF), role limitations due to emotional problems (EP), and mental health (MH). The results were interpreted considering a higher score to be a better state of health.</p>
<p>Furthermore, only FM patients completed the revised FM Impact Questionnaire (FIQR) to assess the impact of FM on their daily lives. This questionnaire evaluates physical functioning, work performance (missed workdays and work difficulty), depression, anxiety, morning fatigue, pain, stiffness, fatigue, and overall wellbeing during the preceding week. Its 21 items are divided into three main domains: function (<italic>n</italic> = 9), overall impact (<italic>n</italic> = 2), and symptoms (<italic>n</italic> = 10). Each item is scored on a scale of zero (no impairment) to 10 (maximum impairment), and the total function score is divided by three. The sum of the scores for symptoms is divided by 2, and the overall impact score remains unchanged. The total score of the FIQR has been calculated by adding these three scores, with the maximum possible total score being 100. All the participants&#x00027; recruitment and clinical data collection are detailed in our clinical data registration (NCT05921409) (<xref ref-type="bibr" rid="B72">Pronacera. Clinicaltrials, 2024</xref>) and protocol study already published by (<xref ref-type="bibr" rid="B49">Lucena Del Amo et al. 2023</xref>).</p></sec>
<sec>
<title>Antioxidant capacity measurement</title>
<p>The total antioxidant capacity of participants was determined by electrochemistry, as described in (<xref ref-type="bibr" rid="B49">Lucena Del Amo et al. 2023</xref>).</p></sec>
<sec>
<title>Plasma proteome analysis</title>
<p>Whole blood samples were collected in heparin-lithium tubes through venipuncture performed by a healthcare professional. To isolate the plasma fraction, the sample was transferred to a 15 ml Falcon tube and then centrifuged at 2,300 RCF for 10 min at 4 &#x000B0;C. Then, plasma was aliquoted and stored at &#x02212;80 &#x000B0;C until batch analysis. Before mass spectrometry analysis, high-abundance proteins were depleted using Thermo Fisher Top 14 columns, following the manufacturer&#x00027;s instructions. Depleted samples were digested with trypsin and desalted before injection. To analyze the proteome, we performed liquid nano-chromatography coupled to tandem mass spectrometry (nLC-MS/MS) using an EVOSEP ONE system, which was coupled to the TIMS Tof Pro hybrid mass spectrometer. This analysis was carried out through the services provided by the BioGUNE Cooperative Research Center in Biosciences, located in the Basque Country, Spain. In brief, 250 ng of the sample were injected into the system. The 60 samples-per-day (SPD) protocol was used, with a 22-min chromatographic gradient from 5% to 50% acetonitrile [B], followed by a 2-min wash phase at 85% [B]. Acquisitions were performed on a TIMS TOF Pro system using the standard short-gradient method provided by Bruker in data-dependent acquisition (DDA) mode.</p>
<p>The processed data were analyzed with the search engines MASCOT (MatrixScience) and PEAKS (Bioinformatics Solutions Inc). Label-free quantification of differential proteomics was also performed by PEAKS (Bioinformatics Solutions Inc.) and MaxQuant (Cox Lab) software. The parameters were optimized considering: tolerances of 20 ppm and 0.05 Da for peptides and fragments, respectively; carbamidomethylation of cysteine considered as a fixed modification, and oxidation of methionines as a variable; Uniprot/Swissprot database limited to <italic>Homo sapiens</italic> as the organism for the searches; and selection of proteins identified with at least one unique peptide with False Discovery Rate (FDR) &#x0003C; 1%. Finally, raw abundances were normalized by Cyclic Loess using the NormalizerDE R package and imputed using the K-nearest neighbor algorithm matrix-wise. A differential abundance analysis was performed using the R package limma. Proteins with statistically significant differential abundance and a fold change (FC) over 1.2 (20% increase in FM compared with control samples) or under 0.8 (20% decrease in FM compared with control samples) in FM were analyzed using the Ingenuity Pathways Analysis software (IPA; Ingenuity<sup>&#x000AE;</sup> Systems, <ext-link ext-link-type="uri" xlink:href="http://www.ingenuity.com">http://www.ingenuity.com</ext-link>). This bioinformatics application enables the functional analysis of differential expression data from different omics, integrating these data into molecular pathways to predict their activation state and link associated regulatory proteins.</p></sec>
<sec>
<title>Fecal metagenome analysis</title>
<p>Fecal samples were collected by participants using the DANASTOOL sample collection kit (Danagen; Barcelona, Spain) and the Fe-Col<sup>&#x000AE;</sup> Faecal sample collection paper (Alpha Laboratories; Hampshire, United Kingdom) as a stool-catch tool. The provided stool tube contains a DNA/RNA stabilization solution that allows samples to be stored at room temperature until batch analysis. For DNA extraction from fecal samples, the DANAGENE MICROBIOME FECAL DNA KIT (Danagen; Barcelona, Spain) was used. Briefly, 1 ml of the homogenized sample was transferred to a bead tube to ease sample disruption. Then, samples were incubated at 70 &#x000B0;C for 10 min. After the incubation step, thorough vortexing and centrifugation steps were applied. The upper phase was then transferred to a filtering column to extract DNA by centrifugation. DNA quality was assessed with a ThermoFisher Multiskan SkyHigh UV/Vis microplate spectrophotometer (Thermo Fisher Scientific, USA). Optimal concentrations were considered to be greater than 5 &#x003BC;g/&#x003BC;l, and 260/280 and 260/230 ratios were considered to be between 1.8 and 2.1. The resultant DNA extracts were stored at &#x02212;20 &#x000B0;C until further analysis.</p>
<p>Amplicon sequencing was performed using the Illumina MiSeq platform at HelixBioS facilities (Madrid, Spain), where amplicons of V3&#x02013;V4 regions from the 16S ribosomal RNA gene (16S rRNA) were sequenced. According to the manufacturer&#x00027;s instructions (Illumina, n.d.), tagging and barcoding processes suitable for Illumina technology were conducted. Pretreatment of the samples was performed using quantitative real-time PCR, followed by further individual quantification, pooling, washing, and titration steps. The sequencing was performed on fragments with sizes ranging from 2 &#x000D7; 250 to 2 &#x000D7; 300, in paired-end format, generating between 150,000 and 200,000 reads per sample. Quality control procedures were implemented using MultiQC software (<xref ref-type="bibr" rid="B24">Ewels et al., 2016</xref>), with filtering thresholds set at 50,000 reads per sample, Q30 Phred Score, and an average trimmed read length of 280 bp. After data pre-processing, sequencing results were analyzed with USEARCH V11.1. Briefly, the reads were cleaned up using the UCHIME algorithm to eliminate &#x0201C;singletons&#x0201D; (reads with only one sequence), chimeric sequences, and possible artifacts. Zero-radius Operational Taxonomic Unit (zOTU) clustering was performed using the UNOISE algorithm at a 99% identity (similarity). The sequences were then aligned against the taxonomic database specifically developed for the study of the intestinal microbiota by HelixBioS, HUMAN GUT 16S v3.2024 (HelixBioS), with an alignment cut-off point at 99% (identity) using the algorithm USE-LOCAL. The resulting taxonomic count tables were processed using the R packages DESeq2 (<xref ref-type="bibr" rid="B48">Love et al., 2014</xref>) (for differential abundance) and Vegan (<xref ref-type="bibr" rid="B65">Oksanen, 2025</xref>) (for diversity analysis). The microbiome functional profile was inferred using PICRUSt (v. 2.4.1), a bioinformatics software package designed to predict the functional content of a metagenome from identified bacteria. The zOTU table, filtered for less than 15% missingness and converted to <italic>biom</italic> format using Qiime2, underwent stratified analysis to determine zOTU contributions. Differential abundance was assessed using ggpicrust2 with DESeq2, and plotting functions were customized. Contribution data were processed with Tidyverse (R base package) to calculate the mean and standard error.</p></sec>
<sec>
<title>Statistical and bioinformatic analysis</title>
<p>The statistical analysis was conducted using R v4.3.2 base packages. Data were expressed as the sample mean &#x000B1; standard deviation (SD). The null hypothesis (H<sub>0</sub>) was defined as no difference between the compared groups, with statistical significance set at 0.05 (&#x003B1; = 0.05). The Kolmogorov-Smirnov test was performed to determine the data distribution before each comparative analysis, thus checking whether the data followed a normal distribution. Depending on the result, either Student&#x00027;s <italic>t</italic>-test for unpaired samples or the non-parametric Mann&#x02013;Whitney <italic>U</italic>-test was used to compare the difference between the means of groups. Pearson&#x00027;s chi-squared and Fisher&#x00027;s exact test were used for qualitative variables.</p>
<p>Spearman&#x00027;s correlation coefficients (<italic>rho</italic>, &#x003C1;) were calculated on FM and control samples separately using normalized protein and taxonomic relative abundances and clinical data. To assess differences in correlation between FM and control samples, Fisher z-tests were conducted, and <italic>p-</italic>values of less than 0.05 were considered statistically significant. Correction for multiple comparisons was implemented through Benjamini-Hochberg FDR.</p>
<p>To evaluate the diagnostic performance of selected omics features, we implemented a deep neural network using the keras package in R. Three datasets were analyzed: Statistically significant proteomic markers (<italic>p</italic> &#x0003C; 0.05), statistically significant metagenomic markers (<italic>p</italic> &#x0003C; 0.05) and a combined dataset integrating both. Features were scaled to the [0, 1] range, and microbial abundances were further binarized using a 0.01 threshold. The model applied was a fully connected multilayer perceptron (MLP) with four hidden layers, trained using the Adam optimizer (learning rate = 0.01) and binary cross-entropy loss. To control class imbalance, sample weights were calculated dynamically from each fold. Training was conducted over a maximum of 800 epochs, with early stopping (patience = 250, min_delta = 0.01) based on validation AUC. Model validation was performed using 10 repetitions of five-fold stratified cross-validation, ensuring balanced class distribution across folds.</p>
<p>AUC was used as the primary performance metric, calculated with the pROC package. Individual ROC curves were generated for each fold and repetition using the <italic>roc</italic> function. To compute the mean ROC curve, the sensitivity and specificity values across all 50 runs (five folds &#x000D7; 10 repeats) were interpolated. The final ROC plots include the mean curve &#x000B1; 1 standard deviation. This methodology was applied to the three datasets independently (proteomics only, metagenomics only, and combined).</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Participants characteristics</title>
<p>A total of 892 potential participants were screened for this study. Of these, 642 participants were excluded during the screening phase following the inclusion/exclusion criteria. Seven participants who did not complete all the clinical questionnaires and one who did not deliver fecal samples were also excluded. The final cohort consisted of 242 women, including 199 who were FM patients and 43 who were age- and environmentally paired controls who did not present any symptom related to FM. The characteristics of the study cohort are shown in <xref ref-type="table" rid="T1">Table 1</xref>. There are no significant differences between groups for any clinical variable (<italic>p</italic> &#x0003C; 0.05), including BMI, physical activity, or tobacco consumption. Nevertheless, regarding comorbidities, a higher but not statistically significant incidence of cardiovascular and metabolic diseases, as well as higher consumption of antioxidants, was found in patients compared to the control group.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Cohort demographic characteristics.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Controls (<italic>N</italic> = 43)</bold></th>
<th valign="top" align="center"><bold>Patients (<italic>N</italic> = 199)</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>- value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (mean)</td>
<td valign="top" align="center">49.46 &#x000B1; 8.68</td>
<td valign="top" align="center">52.19 &#x000B1; 7.09</td>
<td valign="top" align="center">0.08</td>
</tr> <tr>
<td valign="top" align="left">BMI (mean)</td>
<td valign="top" align="center">25.44 &#x000B1; 3.96</td>
<td valign="top" align="center">26.23 &#x000B1; 4.22</td>
<td valign="top" align="center">0.19</td>
</tr> <tr>
<td valign="top" align="left">Smoker (%)</td>
<td valign="top" align="center">11.63%</td>
<td valign="top" align="center">16.58%</td>
<td valign="top" align="center">0.56</td>
</tr> <tr>
<td valign="top" align="left">Sedentarism (%)</td>
<td valign="top" align="center">46.51%</td>
<td valign="top" align="center">54.27%</td>
<td valign="top" align="center">0.45</td>
</tr> <tr>
<td valign="top" align="left">Autoimmune disease (%)</td>
<td valign="top" align="center">6.98%</td>
<td valign="top" align="center">14.07%</td>
<td valign="top" align="center">0.31</td>
</tr> <tr>
<td valign="top" align="left">Cardiovascular disease (%)</td>
<td valign="top" align="center">4.65%</td>
<td valign="top" align="center">16.58%</td>
<td valign="top" align="center">0.08</td>
</tr> <tr>
<td valign="top" align="left">Metabolic disease (%)</td>
<td valign="top" align="center">4.65%</td>
<td valign="top" align="center">14.07%</td>
<td valign="top" align="center">0.15</td>
</tr> <tr>
<td valign="top" align="left">Antioxidant consumption (%)</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="center">8.04%</td>
<td valign="top" align="center">0.08</td>
</tr> <tr>
<td valign="top" align="left">Antibiotic consumption (%)</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="center">0.50%</td>
<td valign="top" align="center">1</td>
</tr></tbody>
</table>
</table-wrap>
<p>Depending on the variable of study Mann&#x02013;Whitney <italic>U</italic>, Pearson&#x00027;s chi-squared, and Fisher&#x00027;s exact test were used, considering <italic>p-</italic>value &#x0003C; 0.05 as the threshold to establish a significant difference.</p>
<p>Data from questionnaire scores for each study group are shown in <xref ref-type="table" rid="T2">Table 2</xref>. FM impact was evaluated by FIQR, where patients obtained a 65.94 &#x000B1; 17.78 score. Both groups (FM vs. C) completed the SF36 questionnaire, in which all the resulting scores on the eight items evaluated showed statistically significant differences (<italic>p</italic>-value &#x0003C; 0.0001) between groups. Particularly, the biggest differences were found in body pain and physical health of patients, whose scores are 77.21 &#x000B1; 23.02 vs. 20.94 &#x000B1; 17.77 and 82.56 &#x000B1; 31.19 vs. 10.88 &#x000B1; 24.69, respectively.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Questionnaire scores.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Controls, C (<italic>N</italic> = 43)</bold></th>
<th valign="top" align="center"><bold>Patients, FM (<italic>N</italic> = 199)</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FIQR score</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">65.94 &#x000B1; 17.78</td>
<td valign="top" align="center">&#x02013;</td>
</tr> <tr>
<td valign="top" align="left">SF36 physical functioning (PF)</td>
<td valign="top" align="center">88.02 &#x000B1; 17.19</td>
<td valign="top" align="center">44.20 &#x000B1; 22.91</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">SF36 physical health (PH)</td>
<td valign="top" align="center">82.56 &#x000B1; 31.19</td>
<td valign="top" align="center">10.88 &#x000B1; 24.69</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">SF36 emotional problems (EP)</td>
<td valign="top" align="center">82.95 &#x000B1; 33.23</td>
<td valign="top" align="center">38.00 &#x000B1; 45.71</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">SF36 mental health (MH)</td>
<td valign="top" align="center">59.19 &#x000B1; 23.18</td>
<td valign="top" align="center">18.60 &#x000B1; 14.62</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">SF36 vitality&#x02014;energy/fatigue (V)</td>
<td valign="top" align="center">71.72 &#x000B1; 17.31</td>
<td valign="top" align="center">47.72 &#x000B1; 19.85</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">SF36 social function (SF)</td>
<td valign="top" align="center">85.17 &#x000B1; 20.75</td>
<td valign="top" align="center">37.88 &#x000B1; 25.89</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">SF36 pain (P)</td>
<td valign="top" align="center">77.21 &#x000B1; 23.02</td>
<td valign="top" align="center">20.94 &#x000B1; 17.77</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr> <tr>
<td valign="top" align="left">SF36 general health (GH)</td>
<td valign="top" align="center">67.56 &#x000B1; 18.28</td>
<td valign="top" align="center">46.23 &#x000B1; 13.50</td>
<td valign="top" align="center">&#x0003C; 0.0001</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Depending on the variable of study Mann&#x02013;Whitney U, Pearson&#x00027;s chi-squared, and Fisher&#x00027;s exact test were used, considering p-value &#x0003C; 0.05 as the threshold to establish a significant difference.</p>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>Antioxidant capacity</title>
<p>The total antioxidant capacity of participants showed no statistically significant difference between groups (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p></sec>
<sec>
<title>Proteomic profile of plasma</title>
<sec>
<title>Differentially expressed proteins</title>
<p>The proteomic profile of plasma samples from controls and patients with FM show more than 600 proteins identified. Of these, a total of 242 proteins were clearly detected in both groups. Using a cutoff <italic>p-</italic>value &#x0003C; 0.05 for statistical significance, a subgroup of 30 proteins were found to be differentially expressed. Finally, applying a cutoff value of 20% of FC, 14 were overexpressed (FM/C ratio &#x02265; 1.20) and 7 were underexpressed (FM/C ratio &#x02264; 0.83; <xref ref-type="table" rid="T3">Table 3</xref>). Technical validation of some of these proteins was performed by ELISA determination (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>) as described in manufacturers&#x00027; instructions.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Proteins are differentially expressed in the plasma of patients with FM.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>UNIPROT ID</bold></th>
<th valign="top" align="center"><bold>Protein name</bold></th>
<th valign="top" align="center"><bold>Abbreviation</bold></th>
<th valign="top" align="center"><bold>Ratio (FM/C)</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">P25311</td>
<td valign="top" align="center">Zinc-alpha-2-glycoprotein</td>
<td valign="top" align="center">ZA2G</td>
<td valign="top" align="center">2.05</td>
<td valign="top" align="center">0.013</td>
</tr> <tr>
<td valign="top" align="left">P09172</td>
<td valign="top" align="center">Dopamine beta-hydroxylase</td>
<td valign="top" align="center">DOPO</td>
<td valign="top" align="center">1.78</td>
<td valign="top" align="center">0.019</td>
</tr> <tr>
<td valign="top" align="left">P60709</td>
<td valign="top" align="center">Actin cytoplasmic 1</td>
<td valign="top" align="center">ACTB</td>
<td valign="top" align="center">1.59</td>
<td valign="top" align="center">0.003</td>
</tr> <tr>
<td valign="top" align="left">Q92954</td>
<td valign="top" align="center">Proteoglycan 4</td>
<td valign="top" align="center">PRG4</td>
<td valign="top" align="center">1.58</td>
<td valign="top" align="center">0.016</td>
</tr> <tr>
<td valign="top" align="left">Q9C075</td>
<td valign="top" align="center">Keratin type I cytoskeletal 23</td>
<td valign="top" align="center">K1C23</td>
<td valign="top" align="center">1.45</td>
<td valign="top" align="center">0.034</td>
</tr> <tr>
<td valign="top" align="left">P05109</td>
<td valign="top" align="center">Protein S100-A8</td>
<td valign="top" align="center">S10A8</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">0.044</td>
</tr> <tr>
<td valign="top" align="left">P05106</td>
<td valign="top" align="center">Integrin beta-3</td>
<td valign="top" align="center">ITB3</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center">0.011</td>
</tr> <tr>
<td valign="top" align="left">P07476</td>
<td valign="top" align="center">Involucrin</td>
<td valign="top" align="center">INVO</td>
<td valign="top" align="center">1.39</td>
<td valign="top" align="center">0.020</td>
</tr> <tr>
<td valign="top" align="left">O14732</td>
<td valign="top" align="center">Inositol monophosphatase 2</td>
<td valign="top" align="center">IMPA2</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">0.006</td>
</tr> <tr>
<td valign="top" align="left">O14818</td>
<td valign="top" align="center">Proteasome subunit alpha type-7</td>
<td valign="top" align="center">PSA7</td>
<td valign="top" align="center">1.37</td>
<td valign="top" align="center">0.005</td>
</tr> <tr>
<td valign="top" align="left">O75342</td>
<td valign="top" align="center">Arachidonate 12-lipoxygenase 12R-type</td>
<td valign="top" align="center">LX12B</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">0.037</td>
</tr> <tr>
<td valign="top" align="left">P02749</td>
<td valign="top" align="center">Beta-2-glycoprotein 1</td>
<td valign="top" align="center">APOH</td>
<td valign="top" align="center">1.32</td>
<td valign="top" align="center">0.013</td>
</tr> <tr>
<td valign="top" align="left">P06727</td>
<td valign="top" align="center">Apolipoprotein A-IV</td>
<td valign="top" align="center">APOA4</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">0.003</td>
</tr> <tr>
<td valign="top" align="left">P31944</td>
<td valign="top" align="center">Caspase-14</td>
<td valign="top" align="center">CASPE</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">0.022</td>
</tr> <tr>
<td valign="top" align="left">P08603</td>
<td valign="top" align="center">Complement factor H</td>
<td valign="top" align="center">CFAH</td>
<td valign="top" align="center">1.15</td>
<td valign="top" align="center">0.017</td>
</tr> <tr>
<td valign="top" align="left">P02760</td>
<td valign="top" align="center">Protein AMBP</td>
<td valign="top" align="center">AMBP</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">0.011</td>
</tr> <tr>
<td valign="top" align="left">P07358</td>
<td valign="top" align="center">Complement component C8 beta chain</td>
<td valign="top" align="center">CO8B</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.013</td>
</tr> <tr>
<td valign="top" align="left">P03952</td>
<td valign="top" align="center">Plasma kallikrein</td>
<td valign="top" align="center">KLKB1</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.014</td>
</tr> <tr>
<td valign="top" align="left">P0C0L5</td>
<td valign="top" align="center">Complement C4-B</td>
<td valign="top" align="center">CO4B</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.026</td>
</tr> <tr>
<td valign="top" align="left">P43251</td>
<td valign="top" align="center">Biotinidase</td>
<td valign="top" align="center">BTD</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.047</td>
</tr> <tr>
<td valign="top" align="left">P22352</td>
<td valign="top" align="center">Glutathione peroxidase 3</td>
<td valign="top" align="center">GPX3</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.010</td>
</tr> <tr>
<td valign="top" align="left">P06276</td>
<td valign="top" align="center">Cholinesterase</td>
<td valign="top" align="center">CHLE</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.023</td>
</tr> <tr>
<td valign="top" align="left">P08519</td>
<td valign="top" align="center">Apolipoprotein(a)</td>
<td valign="top" align="center">APOA</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.026</td>
</tr> <tr>
<td valign="top" align="left">P04406</td>
<td valign="top" align="center">Glyceraldehyde-3-phosphate dehydrogenase</td>
<td valign="top" align="center">G3P</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.028</td>
</tr> <tr>
<td valign="top" align="left">P07360</td>
<td valign="top" align="center">Complement component C8 gamma chain</td>
<td valign="top" align="center">CO8G</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.000</td>
</tr> <tr>
<td valign="top" align="left">P20742</td>
<td valign="top" align="center">Pregnancy zone protein</td>
<td valign="top" align="center">PZP</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.048</td>
</tr> <tr>
<td valign="top" align="left">P01834</td>
<td valign="top" align="center">Immunoglobulin kappa constant</td>
<td valign="top" align="center">IGKC</td>
<td valign="top" align="center">0.78</td>
<td valign="top" align="center">0.049</td>
</tr> <tr>
<td valign="top" align="left">P00742</td>
<td valign="top" align="center">Coagulation factor X</td>
<td valign="top" align="center">FA10</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">0.005</td>
</tr> <tr>
<td valign="top" align="left">Q02413</td>
<td valign="top" align="center">Desmoglein-1</td>
<td valign="top" align="center">DSG1</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.012</td>
</tr> <tr>
<td valign="top" align="left">Q9HDC9</td>
<td valign="top" align="center">Adipocyte plasma membrane-associated protein</td>
<td valign="top" align="center">APMAP</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.032</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Mann&#x02013;Whitney test was used, considering p-value &#x0003C; 0.05 as the threshold to establish a statistically significant difference.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Functional analysis of plasma proteome</title>
<p>IPA software was used to determine whether the proteins with different abundances were related to specific molecular pathways and networks. We analyzed the 30 deregulated plasma proteins found in FM patients, considering as reference set first, the Ingenuity Knowledge Database, and second, all the datasets obtained from plasma samples of this study, to get rid of sample-type bias. <xref ref-type="fig" rid="F1">Figure 1a</xref> shows the most statistically significant enriched canonical pathways. Among these, the top 5 according to the <italic>p-</italic>value with Ingenuity Knowledge Data Base as reference set were Liver-X Receptor/Retinoid-X Receptor (LXR/RXR) activation (six proteins: AMBP, APOA4, APOH, C4A/C4B, LPA and S100A8), Complement System (four proteins: C4A/C4B, C8B, C8G, and CFH), Complement Cascade (five proteins: C4A/C4B, C8B, C8G, CFH, and IGKC), Clathrin-mediated Endocytosis Signaling (five proteins: ACTB, APOA4, ITGB3, LPA, and S100A8), and Atherosclerosis Signaling (four proteins: ALOX12B, APOA4, LPA, and S100A8). Using the study-identified proteins as a reference set, the top canonical pathways were Osteoarthritis Pathway (four proteins: CASP14, ITGB3, PRG4, and S100A8) and signaling by VEGF (2 proteins: ACTB and ITGB3).</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Ingenuity Pathways Analysis of differentially expressed proteins. <bold>(a)</bold> Canonical pathways enriched in FM sorted by significance value, using the Ingenuity Knowledge Database as reference on the left and using the identified list of proteins as reference set on the right. Orange or blue colors mean positive or negative <italic>Z</italic>-score, respectively. <bold>(b)</bold> Most significant molecular networks identified (red FC &#x0003E; 1.2, green FC &#x0003C; 0,8).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1641185-g0001.tif">
<alt-text>Bar chart (a) illustrating significant pathways with positive and negative z-scores and their p-values, highlighting LXR/RXR Activation and Complement System. Network map (b) visualizes molecular interactions, using color-coded nodes and lines to indicate relationships and prediction outcomes. Legend explains symbols and colors.</alt-text>
</graphic>
</fig>
<p>In <xref ref-type="fig" rid="F1">Figure 1b</xref>, the top networks with the highest number of proteins involved were shown. On the left network, proteins associated with the inflammatory response, hematological system, and cell-to-cell signaling were gathered using the Ingenuity Knowledge Database as a reference set, where most of the proteins belong to the complement system. On the right network, using all the study-identified proteins as a reference set, most proteins and processes are associated with cancer, organismal development, and reproductive system development and function.</p></sec></sec>
<sec>
<title>Metagenomic profile of feces</title>
<sec>
<title>Differentially expressed taxa</title>
<p>A total of 6,030 zOTUs were identified through metagenomic profile analysis of feces samples, capturing 21,639,488 reads. All identified zOTUs were assigned to 696 different species, which were further grouped into 224 genera, 82 families, and 11 phyla.</p>
<p>After ubiquity and representativity filtering, the top five most predominant zOTUs families across all samples from both groups were Oscillospiraceae (28% of total raw counts), Lachnospiraceae (17%), Bacteroidaceae (14%), Clostridiaceae (6%), and Bifidobacteriaceae (5%), as indicated in <xref ref-type="fig" rid="F2">Figure 2a</xref>.</p>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>Core microbiome and discriminant analyses. <bold>(a)</bold> Family-level relative taxonomic composition of the gut microbiota among FM patients (<italic>n</italic> = 199) and controls (<italic>n</italic> = 43). <bold>(b)</bold> &#x003B1;-diversity indexes for each sample group at the species-level taxonomic classification, showing the <italic>p-</italic>value computed using the Mann&#x02013;Whitney <italic>U</italic>-test. <bold>(c)</bold> Volcano plot of 194 taxonomic relatives&#x00027; abundances detected in feces samples after ubiquity and representativity filtering. Positive log<sub>2</sub>FC indicates increased abundance, and negative log<sub>2</sub>FC indicates a reduction in FM patients. All <italic>p-</italic>values were adjusted using the Benjamini-Hochberg method.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1641185-g0002.tif">
<alt-text>Panel (a) shows a stacked bar chart representing family abundance across multiple individuals, using color codes for different bacterial families. Panel (b) includes two box plots comparing Shannon and Simpson indices for species diversity with p-values, and a volcano plot displaying the log2 fold change against -log10 p-values for various species and families, highlighting significant differences.</alt-text>
</graphic>
</fig>
<p>Diversity was analyzed throughout 2 &#x003B1;-diversity scores (Shannon and Simpson), with a statistically significant decrease for both scores in FM patients (<xref ref-type="fig" rid="F2">Figure 2b</xref>). Additionally, a differential zOTUs analysis (employing DESeq2) between the controls and FM core microbiomes was performed. The results showed 19 zOTUs whose abundance differed between both groups with an adjusted <italic>p-</italic>value of 0.05 (<xref ref-type="fig" rid="F2">Figure 2c</xref>). Those zOTUs with higher FC in FM patients belonged mainly to Streptococcaceae, Actinomycetaceae and Mogibacteriaceae families. On the contrary, those with negative FC were just two species: <italic>Bacteroides cellulosilyticus</italic> and <italic>Intestinimonas massiliensis</italic>. Technical validation of some of these bacteria was performed by qPCR determination (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>) as described in manufacturers&#x00027; instructions.</p></sec>
<sec>
<title>Functional analysis of intestinal microbiota</title>
<p>PICRUSt analysis was applied to zOTUS abundances using the KEGG database to determine whether the taxonomic differences between intestinal microbiota from FM and controls might cause functional changes. The results showed that 17 KEGG pathways were significantly different between patients and controls (<xref ref-type="fig" rid="F3">Figure 3a</xref>). The FM microbiota exhibited increased carbohydrate, ascorbate, pyruvate metabolism, bacterial infections, endocytosis, and aminobenzoate degradation, as well as folate, carotenoid, and flavonoid biosynthesis, type II diabetes mellitus, and glycolysis/gluconeogenesis. Conversely, the FM microbiota suggested reduced pathways were phenylpropanoid biosynthesis, PPAR signaling pathway, and cyanamide acid metabolism (<italic>p</italic> &#x0003C; 0.05). Enzyme activity prediction (<xref ref-type="fig" rid="F3">Figure 3b</xref>) highlighted the top 5 activities according to their <italic>p-</italic>values: hydroxymethylglutaryl-CoA reductase, glyceraldehyde-3-phosphate dehydrogenase (NADP&#x0002B;), GMP reductase, glutathione reductase (NADPH), and 16S rRNA (guanine1207-N2)-methyltransferase, all of which showed statistically significant upregulation in the FM group. An exhaustive analysis of zOTUS contributing to the enrichment of these enzymatic activities identified <italic>Streptococcus salivarius</italic> as the primary cause of this alteration, participating in all the enzymatic pathways identified.</p>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p>Predicted KEGG function analysis using PICRUSt. <bold>(a)</bold> Significantly enriched pathways according to the KEGGdatabase. <bold>(b)</bold> Top 5 significantly enriched enzyme activities. <bold>(c)</bold> zOTUS contributes to the enrichment of enzymatic activities. The red color represents the FM group, and the blue color represents the control group.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1641185-g0003.tif">
<alt-text>Bar chart illustrating relative abundance, log2 fold change, and contributions of various species and metabolic processes. Red and blue bars represent FM and control groups, respectively. Each section details specific enzymes and species like Streptococcus and unknown strains, comparing their contributions and statistical significance with corresponding p-values.</alt-text>
</graphic>
</fig></sec></sec>
<sec>
<title>Multi-omics comparison</title>
<sec>
<title>Correlation heatmaps</title>
<p>To explore the potential relationship between intestinal microbiota composition and the host plasma proteome profile, differences in &#x003C1; were studied between the FM and C group for each comparison. To depict the potential use of markers identified in both analyses as a diagnostic tool, zOTUs and proteins with statistically significant differences, independent of FC values, were correlated (<xref ref-type="fig" rid="F4">Figure 4a</xref>). Several microbial taxa clustered due to their association with specific proteins. Interestingly, <italic>Bifidobacterium pseudocatenulatum</italic> and <italic>Bifidobacterium alomucense</italic> correlated with PSA7 (FM/C ratio: 1.37), LX12B (FM/C ratio: 1.33), and DOPO (FM/C ratio: 1.78), a solid result in phylogenetic terms, since the genus (<italic>Bifidobacterium</italic>) and the family (Bifidobacteriaceae) exhibited the same trend. This also occurred in other species like <italic>Mogibacterium neglectum, Collinsella aerofaciens</italic> or <italic>Schaalia odontolytica</italic> with their genera and families, respectively, consistently showing the relationship between them and the above-mentioned proteins. Moreover, certain proteins showed numerous correlations with taxonomic clusters. That was the case of PSA7 (FM/C ratio: 1.37), which had an inverse proportional correlation with zOTUs from the Bifidobacteriaceae family, and a positive one with zOTUs from the Coriobacteriaceae and Mogibacteriaceae families. So far, these two families have formed one of the most robust clusters due to their correlation with DSG1 (FM/C: ratio: 0.6), IGKC (FM/C ratio: 0.78), and PSA7 (FM/C ratio: 1.37) simultaneously. Another protein that correlated negatively with several zOTUs was BTD (FM/C ratio: 0.86), which showed similar negative correlations with the genera <italic>Agathobacter, Eghertella</italic>, and <italic>Christensenella</italic>, in addition to the species <italic>Bacteroides cellulosilyticus</italic> and <italic>Phocaeiocola massiliensis</italic>.</p>
<fig position="float" id="F4">
<label>Figure 4</label>
<caption><p>Heatmaps of scaled Fisher&#x00027;s z-transformed correlation coefficients (&#x003C1;) from the comparison of FM-related &#x003C1; vs. C-related &#x003C1; in different variables. The resulting and plotted &#x003C1; come from deducting FM-related &#x003C1; for a specific variable comparison to the C-related &#x003C1; for this same variable (&#x003C1;FM- &#x003C1;C). <bold>(a)</bold> Heatmap of Fisher&#x00027;s z-transformed &#x003C1; from &#x003C1;FM-&#x003C1;C between metagenomic zOTUs and proteomic markers with differentiated abundances. <bold>(b)</bold> Heatmap of Fisher&#x00027;s z-transformed &#x003C1; from &#x003C1;FM-&#x003C1;C between differentiated multi-omics results and SF36 clinical indices: emotional problems (EP), emotional wellbeing (EW), vitality-energy/fatigue (EF), social functioning (SF), physical health (PH), general health (GH), physical functioning (PF), and Pain (P). The heat map is sorted based on hierarchical clustering. Blue indicates positive correlations, whereas red indicates negative correlations (&#x02212;0.6 &#x0003C; &#x003C1; &#x0003E; 0.6), with color saturation directly linked to &#x003C1;&#x00027;s absolute value. Those correlations with a statistically significant difference are marked by a black dot (Benjamini&#x02013;Hochberg FDR &#x0003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1641185-g0004.tif">
<alt-text>Heatmap depicting scaled Fishers z-transformed correlation coefficients. Panel a shows microbial taxa, and panel b displays genes. Each cell is color-coded to indicate correlation strength, ranging from -0.6 (blue) to 0.6 (red). Darker shades signify stronger correlations, while lighter shades represent weaker ones.</alt-text>
</graphic>
</fig>
<p>To determine which differences could be specifically associated with the quality of life of the participants, the correlations between the SF36 health questionnaire items and the omics data were represented (<xref ref-type="fig" rid="F4">Figure 4b</xref>). Metagenomics showed the highest number of variable correlations with health scores, obtaining 15 zOTUs. A cluster composed mainly of zOTUs of the genus <italic>Faecalibacterium</italic> correlated negatively with most questionnaire items, including vitality, physical health, general health, and pain. In this sense, pain was the variable that showed a higher number of positive and negative correlations with proposed fecal markers. Although proteins had only 5 correlations, most of them were linked to the mental health score, a crucial factor in FM disorder.</p>
<p>Regarding the FIQR questionnaire, &#x003C1; for the omics results of FM patients and FIQR scores was calculated. The results were not significant for any of the variables, although a weak correlation (|&#x003C1;| &#x0003E; 0.2) suggests that depression was the item that correlated with a greater number of zOTUs, with a total of 9. Furthermore, pain showed a direct proportional correlation with all zOTUs of the Mogibacteriaceae family. As for proteins, only CASPE (FM/C ratio: 1.24) correlated negatively with stiffness, which correlates positively with the Streptococcaceae family at the same time (data not shown).</p></sec>
<sec>
<title>ROC curves</title>
<p>The diagnostic performance of the metagenomic and proteomic datasets was evaluated using supervised machine learning on 242 samples (199 FM patients and 43 controls). Models trained on each omics layer separately achieved good classification performance, indicating that both microbial and proteomic profiles contain relevant, non-redundant information for distinguishing FM patients from controls. However, the best results were obtained when both datasets were integrated into a single model, which achieved a mean AUC of 0.85 &#x000B1; 0.07 across repeated stratified cross-validation (<xref ref-type="fig" rid="F5">Figure 5</xref>). This integrative model, which leveraged all statistically significant microbial taxa and proteins, consistently outperformed the single-omic approaches. These findings highlight the complementary nature of the two omics layers and support the use of a combined multi-omics panel as the most effective strategy for discriminating FM patients from controls.</p>
<fig position="float" id="F5">
<label>Figure 5</label>
<caption><p>ROC curves. Area under the curve (AUC) values for each omics dataset and their combination.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-16-1641185-g0005.tif">
<alt-text>Three ROC curve graphs are shown, labeled Metagenomics, Proteomics, and an unlabeled one. Each graph plots sensitivity against specificity with an ROC curve, indicated by a blue line, and a diagonal line representing chance. The Metagenomics graph shows a mean AUC of 0.78, Proteomics has 0.77, and the third graph has 0.85. Shading indicates variability and standard deviations.</alt-text>
</graphic>
</fig>
</sec></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>FM is a chronic pain-related disorder that is still underdiagnosed due to the lack of molecular markers. The present study is focused on the search for these markers in the plasma proteome and intestinal microbiota. The results showed a significant differential pattern of 30 proteins and 19 bacterial taxa between FM patients and controls, and a significantly higher &#x003B1; diversity in controls compared to patients, suggesting a worse intestinal environment and, consequently, a weaker intestinal and general health in FM.</p>
<p>Main symptoms of FM (pain and cognitive impairment) suggest an evident and deleterious nervous system disruption. In fact, several authors have agreed on classifying this disorder as one of the most common conditions among the so-called central sensitization syndromes (<xref ref-type="bibr" rid="B9">Boomershine, 2015</xref>), which are characterized by a CNS imbalance that affects the homeostasis of the whole nervous system. This altered neurological performance has been demonstrated in a substantial number of studies utilizing various imaging, electrodermal, and molecular techniques. For instance, different groups have found that nerve fibers participating in nociception in FM patients are less abundant, thinner, and even abnormally hyperexcited when compared with controls (<xref ref-type="bibr" rid="B84">Serra et al., 2014</xref>; <xref ref-type="bibr" rid="B95">Vecchio et al., 2020</xref>). Similarly, autonomic nervous system-dependent processes such as sweating have been reported as compromised by pathological traits in nerve fibers identified through electrodermal measurements (<xref ref-type="bibr" rid="B76">Reyes del Paso and de la Coba, 2020</xref>; <xref ref-type="bibr" rid="B25">Falco et al., 2024</xref>), adding further evidence to support the hypothesis of a complete nervous system failure in these patients.</p>
<p>At the molecular level, the long list of neurological imbalances is usually accompanied by chaotic neuroimmunological signaling. An extensive and varied record of altered molecular signaling in the immune system has been reported (<xref ref-type="bibr" rid="B68">Ovejero et al., 2020</xref>; <xref ref-type="bibr" rid="B97">Verma et al., 2022</xref>; <xref ref-type="bibr" rid="B51">Maes et al., 2024</xref>; <xref ref-type="bibr" rid="B31">Goebel et al., 2021</xref>), resulting in marked neuroinflammation, a common finding in FM patients (<xref ref-type="bibr" rid="B45">Littlejohn and Guymer, 2018</xref>; <xref ref-type="bibr" rid="B61">Mueller et al., 2023</xref>). In line with this hypothesis, nervous system impairment was also inferred by proteomic analysis in our cohort, with CHLE (FM/C ratio: 0.85), DOPO (FM/C ratio: 0.85) and G3P (FM/C ratio: 0.82) as affected proteins among others (<xref ref-type="table" rid="T3">Table 3</xref>); the first and the second, participate actively in the regulation of cholinergic and dopaminergic synapses (<xref ref-type="bibr" rid="B20">Darvesh et al., 2003</xref>; <xref ref-type="bibr" rid="B88">Silman, 2021</xref>; <xref ref-type="bibr" rid="B79">Rush and Geffen, 1980</xref>), and the third one, is annotated in the GO term neuron apoptosis process (GO:0051402). In fact, the role of G3P protein (GAPDH) seems to be essential in the gut-brain-mitochondrial axis, as discussed in the upcoming paragraphs. Inflammation traits were as well identified in our study, since some proteins among the 30 differentially expressed in the FM patients were narrowly related with pro-inflammatory pathways (<xref ref-type="fig" rid="F1">Figure 1b</xref>), such as acute phase signaling, with AMBP (FM/C ratio: 1.10), APOH (FM/C ratio: 1.32), CO4B (FM/C ratio: 0.86), and KLKB1 (FM/C ratio: 0.88) as altered proteins; and IL-12 signaling and production in macrophages, represented by APOA4 (FM/C ratio: 0.83), IGKC, (FM/C ratio: 0.78), APOA (FM/C ratio: 0.83), and S100A8 (FM/C ratio: 1.43) as <xref ref-type="table" rid="T3">Table 3</xref> showed. The last one, a component of calprotectin, has recently been proposed as a biomarker for rheumatoid arthritis and FM (<xref ref-type="bibr" rid="B38">Inciarte-Mundo et al., 2022</xref>; <xref ref-type="bibr" rid="B96">Vega-Ram&#x000ED;rez et al., 2024</xref>), given its implication in the activation of innate immunity and inflammation.</p>
<p>In FM patients, the presence of neuroinflammation has been proposed as a multifactorial process driven by the co-occurrence of low vitamin D levels, mitochondrial dysfunction, and intestinal microbiota dysbiosis (<xref ref-type="bibr" rid="B94">Vasquez, 2016</xref>). In this sense, our proteomic results identified four proteins participating in the 24-dehydrocholesterol reductase (DHCR24) signaling pathway, according to IPA: AMBP (FM/C ratio: 1.10), APOA4 (FM/C ratio: 1.25), APOH (FM/C ratio: 1.32), and CO4B (FM/C ratio: 0.86). DHCR24 is the final enzyme in the biosynthesis pathway of cholesterol, a ubiquitous molecule that serves as a precursor to several by-products participating in a wide variety of physiological and pathological pathways, such as the metabolism of lipids and vitamin D, the synthesis of steroid hormones, and liver X-receptor (LXR)/retinoid X-receptor (RXR) activation, among others (<xref ref-type="bibr" rid="B101">Warren et al., 2021</xref>). LXR/RXR activation appears to be supported by stronger evidence in previous studies from our group and other authors. In the present study, the LXR/RXR activation pathway is the most differential canonical pathway between FM and C groups according to the <italic>p-</italic>value (<xref ref-type="fig" rid="F1">Figure 1a</xref>), and is represented by the differential expression of AMBP (FM/C ratio: 1.10), APOA4 (FM/C ratio: 1.25), APOH (FM/C ratio: 1.32), CO4B (FM/C ratio: 0.86), APOA (FM/C ratio: 0.83), and S100A8 (FM/C ratio: 1.43), with a clear tendency toward upregulation. LXR/RXR receptors are steroid- and lipidic metabolites-dependent transcription factors involved in biological processes as diverse as lipid metabolism, immune system maintenance, neurobiological homeostasis or reproductive health homeostasis. Not in vain, this route has been significantly enriched and activated in numerous cohorts of FM patients in previous research (<xref ref-type="bibr" rid="B74">Ram&#x000ED;rez-Tejero et al., 2018</xref>; <xref ref-type="bibr" rid="B34">Han et al., 2020</xref>; <xref ref-type="bibr" rid="B26">Frigo et al., 2021</xref>; <xref ref-type="bibr" rid="B59">Mohapatra et al., 2024</xref>), leading to altered lipid metabolism. Since steroid synthesis takes place inside the mitochondria, starting from cholesterol, the complete disruption found in lipid and steroid metabolism of FM patients that, at the end, alters the performance of the neuroendocrine system might be mainly triggered by this organelle.</p>
<p>Not surprisingly, mitochondria may be the common link among the various symptoms experienced by FM patients. By far, the nervous and musculoskeletal systems have the highest energy demand in the body, and they have been found to be dramatically affected by mitochondrial dysfunction (<xref ref-type="bibr" rid="B10">Cant&#x000F3;-Santos et al., 2020</xref>). Similarly, mitochondria have been repeatedly mentioned as a dysfunctional organelle in FM, not only by the scientific community, but also in previous studies from our research group (<xref ref-type="bibr" rid="B17">Cordero et al., 2013</xref>; <xref ref-type="bibr" rid="B53">Mart&#x000ED;nez-Lara et al., 2020</xref>; <xref ref-type="bibr" rid="B11">Castro-Marrero et al., 2013</xref>; <xref ref-type="bibr" rid="B82">S&#x000E1;nchez-Dom&#x000ED;nguez et al., 2015</xref>; <xref ref-type="bibr" rid="B28">Gerdle et al., 2020</xref>; <xref ref-type="bibr" rid="B3">Alcocer-G&#x000F3;mez et al., 2015</xref>; <xref ref-type="bibr" rid="B16">Cordero et al., 2010</xref>, <xref ref-type="bibr" rid="B15">2016</xref>), which makes perfect sense, considering that pain, fatigue, joint stiffness, muscle cramps, and neurocognitive disorders stand out as main features of FM. Specifically, our previous findings suggested a profound imbalance of the mitochondrial membrane-associated porin voltage-dependent anion channel 1 (VDAC1) in FM patients (<xref ref-type="bibr" rid="B53">Mart&#x000ED;nez-Lara et al., 2020</xref>; <xref ref-type="bibr" rid="B73">Ram&#x000ED;rez-Tejero et al., 2023</xref>), which directly cooperates with G3P in a well-defined classical mitochondrial-related apoptosis pathway (<xref ref-type="bibr" rid="B91">Tarze et al., 2007</xref>). Additionally, VDAC1 was identified in the plasma proteome analysis of our cohort, although it did not show statistically significant differences between groups (data not shown). This result may be due to technical limitations of the nLC-MS/MS approach, as even though a depletion step was introduced, the most abundant proteins could mask subtle changes in the less present ones. However, G3P was differentially expressed in FM patients, as shown in <xref ref-type="table" rid="T3">Table 3</xref>. This specific enzymatic activity appeared as the top functionally decreased activity in the intestinal microbiome of FM patients (<xref ref-type="fig" rid="F3">Figure 3b</xref>) and is involved in the main pathways altered in FM patients, as indicated by our data. For this reason, the G3P enzyme and its by-products emerge as a promising diagnostic and therapeutic target for FM patients, and its enzymatic increase inferred from the metagenomic functional analysis could be a counteracting response to the lower plasma levels in FM patients.</p>
<p>Sticking to the mitochondrial environment, several other molecular functions take place inside this organelle, apart from energy metabolism. Specifically, mitochondria have been linked to oxidative stress and subsequent inflammatory processes in a wide range of pathological conditions (<xref ref-type="bibr" rid="B12">Chen et al., 2023</xref>). Among the differentially expressed proteins in FM patients participating in this study, some proteins related to these processes were found. For instance, GPX3 (FM/C ratio: 0.85), LX12B (FM/C ratio: 1.33), and APOA4 (FM/C ratio: 1.25) differences shown in <xref ref-type="table" rid="T3">Table 3</xref>, suggested a deficiency in oxidative stress defense as well as an increased lipid peroxidation, results already reported in FM and even linked to pain intensity and inflammation in those patients (<xref ref-type="bibr" rid="B5">Assavarittirong et al., 2022</xref>; <xref ref-type="bibr" rid="B56">Meeus et al., 2013</xref>; <xref ref-type="bibr" rid="B2">Akku&#x0015F; et al., 2009</xref>; <xref ref-type="bibr" rid="B69">Ozgocmen et al., 2006</xref>). In line with these previous findings, some of the top<italic>-</italic>rated canonical pathways according to the <italic>p-</italic>value were complement cascade and complement system, implying proteins such as CO4B (FM/C ratio: 0.86), CO8B (FM/C ratio: 0.89), CO8G (FM/C ratio: 0.81), CFAH (FM/C ratio: 1.15), and IGKC (FM/C ratio: 0.78). This molecular pathway is narrowly related to chronic inflammation (<xref ref-type="bibr" rid="B75">Rawish et al., 2021</xref>).</p>
<p>All the previously identified imbalances found in our study could have a common link in the intestinal microbiome, defined as the unique signature of microbes, their genes, and metabolites, as well as their interaction with the host. Intestinal dysbiosis has been identified as a main source of CNS-related syndromes and symptoms, often via the vagus nerve and immune system (<xref ref-type="bibr" rid="B80">Rutsch et al., 2020</xref>). This connection has already been evaluated in FM, finding a low vagal nerve tone that might be related to pain and inflammation, as reported also for other conditions (<xref ref-type="bibr" rid="B54">Martins et al., 2021</xref>). One of the latest hypotheses links FM with this exact connection, dysbiosis being the main triggering cause of CNS symptoms. In FM patients, those deviations have lately been blamed for associated complications, such as irritable bowel syndrome (<xref ref-type="bibr" rid="B27">Garofalo et al., 2023</xref>) or psychological distress (<xref ref-type="bibr" rid="B63">Nhu et al., 2024</xref>). Besides that, a fast-growing hypothesis for some FM-overlapping sex-related conditions, such as endometriosis, breast and endometrial cancer, points to the role of &#x003B2;-glucuronidase activity from intestinal microbiota metagenome (estrobolome), specifically from the phyla Bacteroidetes (Bacteroidota) and Firmicutes (Bacillota) (<xref ref-type="bibr" rid="B71">Pollet et al., 2017</xref>), as the primary source of estrogens disruptions (<xref ref-type="bibr" rid="B43">Kwa et al., 2016</xref>; <xref ref-type="bibr" rid="B7">Baker et al., 2017</xref>; <xref ref-type="bibr" rid="B23">Ervin et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Komorowski and Pezo, 2020</xref>; <xref ref-type="bibr" rid="B81">Salliss et al., 2022</xref>; <xref ref-type="bibr" rid="B87">Siddiqui et al., 2022</xref>; <xref ref-type="bibr" rid="B90">Sobstyl et al., 2022</xref>; <xref ref-type="bibr" rid="B70">Pai et al., 2023</xref>; <xref ref-type="bibr" rid="B36">Hu et al., 2023</xref>). This hypothesis reinforces the crucial role of the intestinal microbiota in a considerable list of human diseases and syndromes. In terms of hormone signaling, and following the estrobolome hypothesis, cortisol, estradiol, and progesterone levels have been investigated in FM patients and <italic>in vitro</italic> models; however, the findings on the impact of these hormones on pain and neuropsychological complications were preliminary and contradictory (<xref ref-type="bibr" rid="B64">Okifuji and Turk, 2006</xref>; <xref ref-type="bibr" rid="B77">Rus et al., 2016</xref>; <xref ref-type="bibr" rid="B83">Schertzinger et al., 2018</xref>; <xref ref-type="bibr" rid="B35">Hernandez-Leon et al., 2018</xref>; <xref ref-type="bibr" rid="B44">Lin et al., 2021</xref>).</p>
<p>Our results revealed a differential pattern in intestinal microbiota composition in FM patients, as shown in the volcano plot resulting from the metagenomic analysis (<xref ref-type="fig" rid="F2">Figure 2c</xref>), with a total of 19 bacterial taxa that were differentially expressed. Specifically, at the phylum level, the distribution of zOTUS is as follows: 12 <italic>Bacillota</italic>, six Actinobacteria, and one Bacteroidota. <italic>Streptococcus salivarius</italic> appeared as the most differential bacterium between the FM and C group, with the lowest <italic>p-</italic>value and the highest FC. Interestingly, this bacterium has demonstrated regulatory properties for immunological and inflammatory responses <italic>in vitro</italic> (<xref ref-type="bibr" rid="B40">Kaci et al., 2014</xref>), suggesting that this marked difference may represent an outstanding research hypothesis for further studies. Several other species, such as <italic>Mogibacterium neglectum, Streptococcus parasanguinis, Schaalia odontolytica, Pseudoruminococcus massiliensis, Ruminococcus gnavus</italic>, and <italic>Bifidobacterium pseudocatenulatum</italic> showed the same trend as <italic>S. salivarius</italic>. On the other hand, <italic>Bacteroides cellulositycus</italic> and <italic>Intestinimonas massiliensis</italic> were found to be less abundant in FM patients, according to our results. To our knowledge, this is the first paper to report differential abundance in FM patients for bacteria from these genera, except for <italic>Bifidobacterium</italic> and <italic>Streptococcus</italic>. The first one was previously identified as a reduced genus in FM patients (<xref ref-type="bibr" rid="B14">Clos-Garcia et al., 2019</xref>), and the second one showed differences between men and women with FM in a pilot, descriptive study of our group (<xref ref-type="bibr" rid="B73">Ram&#x000ED;rez-Tejero et al., 2023</xref>). In this regard, different research groups have demonstrated differentially abundant bacterial groups in the gut of FM patients compared with controls. (<xref ref-type="bibr" rid="B58">Minerbi et al. 2019</xref>) reported a distinct microbiota signature in FM patients, composed of a high prevalence of bacteria from the Firmicutes phylum. Besides, species such as <italic>Prevotella copri, Faecalibacterium Praustnitzii</italic>, and <italic>Bacteroides uniformis</italic>, classically associated with a healthy gut, showed less abundance in those patients. In a parallel study, (<xref ref-type="bibr" rid="B14">Clos-Garcia et al. 2019</xref>) found a similar pattern, where beneficial bacteria, such as <italic>Bifidobacterium</italic> spp. and <italic>Bacteroides</italic> spp., were clearly less abundant in patients compared to controls, as mentioned before. Moreover, this group demonstrated some correlation between these differences and the concentration of several metabolites with a crucial role in CNS signaling. Our results showed a striking coincidence, since <italic>Bacteroides cellulosyticus</italic> appeared with the same exact tendency as that found in both studies for their genus relatives. Several species from this genus have exerted a remarkable ability to participate in &#x003B3;-aminobutyric acid (GABA) synthesis in the human gut (<xref ref-type="bibr" rid="B67">Otaru et al., 2021</xref>). GABA is the primary calming CNS neurotransmitter, and previous authors have demonstrated that it is present in the brain at a lower concentration in FM patients compared to controls, while its precursor and main excitatory neurotransmitter, L-glutamate, exhibits the opposite behavior (<xref ref-type="bibr" rid="B58">Minerbi et al., 2019</xref>; <xref ref-type="bibr" rid="B67">Otaru et al., 2021</xref>). In this sense, the generalized <italic>Bacteroides</italic> spp. deficiency that seems to be present in FM patients might be a promising therapeutic target for CNS imbalances in them, although further research is needed.</p>
<p>Functional prediction with PICRUSt of bacterial differences in our FM cohort provided promising results. Several pathways with a marked link to mitochondria were enriched in those patients. As shown in <xref ref-type="fig" rid="F3">Figure 3a</xref>, glycolysis/gluconeogenesis and pyruvate metabolism were, by far, the most affected routes. Additionally, some vital routes for mitochondrial health were also compromised. For instance, the PPAR signaling pathway and folate biosynthesis (<xref ref-type="bibr" rid="B105">Xiu and Field, 2020</xref>; <xref ref-type="bibr" rid="B57">Mello et al., 2016</xref>). In line with this hypothesis, typically mitochondrial enzymatic activities also showed a differential behavior in ontology prediction based on intestinal dysbiosis found in these patients. That was the case of hydroxymethylglutaryl-CoA reductase (K00054) and glyceraldehyde-3-phosphate dehydrogenase (NADP&#x0002B;) (K00131). Mitochondrial dysfunction could be a triggering factor, according to further PICRUSt predictions, since antioxidant activities, such as glutathione reductase (NADPH) (K00383), also appear to be compromised. Taking into account that plasma results were suggesting a mitochondrial blockade, microbiota might be reacting as a counterbalance to this deficiency.</p>
<p>The multi-omics approach provided valuable insights into the relationships between proteins, bacteria, and health questionnaire results. In this sense, as shown in <xref ref-type="fig" rid="F4">Figure 4</xref>, Fisher&#x00027;s z-transformed &#x003C1; highlighted evident differences in protein-to-bacteria and protein/bacteria-to-health questionnaire scores between controls and patients. Thus, strong positive differences in correlations were found between DSG1 and IGKC proteins and several bacterial genera, including <italic>Clostridium, Eubacterium, Faecalibacterium, Coprococcus, Collinsella</italic>, and <italic>Mogibacterium</italic>, all of which belong to the phylum Firmicutes. Desmogleins (DSG1 and DSG2) are essential proteins in cell-to-cell adhesion, serving as the primary components of desmosomes in tissues subjected to strong mechanical stress, such as the intestinal barrier layer (<xref ref-type="bibr" rid="B32">Gross et al., 2018</xref>; <xref ref-type="bibr" rid="B85">Sherrill et al., 2014</xref>). IGKC, as the constant region of the light chains from all immunoglobulin types, participates in a wide range of adaptive immune responses. Combined, these findings suggest that, in FM patients, the highest abundance of these genera may trigger an intestinal barrier breakdown, followed by an immunological response, whereas controls do not experience such a disturbance. Since FM has been classically linked to several gastrointestinal challenges (<xref ref-type="bibr" rid="B89">Slim et al., 2015</xref>), the intestinal microbiome composition of these patients should be a clinical indicator in their initial evaluations, as well as a therapeutic target to address. Furthermore, DOPO protein exerted a marked positive correlation with the Bifidobacteriaceae family, specifically with <italic>Bifidobacterium pseoudocatenulatum</italic> and <italic>Bifidobacterium alomucense</italic>. According to our results, the increase in these bacteria is linked to a higher abundance of Dopamine beta-hydroxylase, which is responsible for converting dopamine (a pleasure neurotransmitter) to noradrenaline (a concentration neurotransmitter). The link between these bacteria and dopaminergic signaling has been widely depicted in the scientific literature (<xref ref-type="bibr" rid="B33">Hamamah et al., 2022</xref>). For instance, in murine models, the supplementation with <italic>Bifidobacterium infantis</italic> elevated the levels of noradrenaline after maternal separation (<xref ref-type="bibr" rid="B21">Desbonnet et al., 2010</xref>). Whether these differential effects of <italic>Bifidobacterium</italic> spp. on dopamine/noradrenaline signaling could be acting as a gut-brain axis regulator checkpoint in FM symptoms needs to be addressed in further studies. An additional relevant finding concerns <italic>Bacteroides cellulosyliticus</italic> and the marked and opposite relationship established with the proteins PRG4 and APOH, both of which have higher levels in FM patients (<xref ref-type="table" rid="T3">Table 3</xref>). According to the heatmap of correlation differences, the presence of <italic>B. cellulosyliticus</italic> is somewhat related to PRG4. This proteoglycan plays a significant role in joint lubrication, but is also implicated in the management of neuroinflammation by interfering with TLR2/4 signaling (<xref ref-type="bibr" rid="B8">Bennett et al., 2021</xref>). In parallel, this bacterium showed a positive difference in correlations with APOH, which was previously described as a biomarker for antiphospholipid syndrome (<xref ref-type="bibr" rid="B86">Sibilia, 2003</xref>), a condition that worsens FM symptoms when it appears as a comorbidity (<xref ref-type="bibr" rid="B19">Costa et al., 2011</xref>). Given that, as previously mentioned<italic>, Bacteroides</italic> spp. was found to be a reduced genus in FM patients in both previous studies and our results, its differential correlation with these two proteins could be proposed as a molecular mechanism affected in patients.</p>
<p>Finally, regarding health questionnaires, the highest differences between FM and C correlation coefficients are shown by CFAH and <italic>Faecalibacterium hattori</italic>. The former showed positive differences with physical function, while the latter showed negative differences with energy/fatigue, physical health, general health, and pain, as shown in <xref ref-type="table" rid="T2">Table 2</xref>. Hence, CFAH and <italic>Faecalibacterium hattori</italic> could be potential therapeutic targets to address, thereby enhancing patients&#x00027; quality of life.</p></sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>This is the first multi-omics approach for FM patients, highlighting the feasible role of the gut-brain-mitochondrial axis in FM etiopathogenesis in such a large cohort. This study identifies several promising markers for classifying patients with FM. Plasma and fecal multi-omics analysis and its integration into an algorithm allows discrimination between cases and controls with high AUC values, pointing to an intricate and multifactorial connection between gut microbiota and mitochondria-derived oxidative stress and inflammation, with glyceraldehyde-3-phosphate dehydrogenase and <italic>Streptococcus salivarius</italic> as leading actors. All biomarkers identified in this study could play an important role in the disease, suggesting their potential as prognostic, diagnostic, and therapeutic targets for personalized, preventive, or palliative/curative treatment of FM in the future. However, further blinded studies linking these potential biomarkers to FM could define a specific signature of women suffering from FM, which would be very useful for developing a robust diagnostic tool and focusing on probiotic-based treatments or other effective procedures for the patient.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The datasets presented in this study are publicly available. The metagenomic data are deposited in GSA-Human under the accession number HRA009721 (BioProject accession: PRJCA032811), available at <ext-link ext-link-type="uri" xlink:href="https://bigd.big.ac.cn/gsa-human/browse/HRA009721">https://bigd.big.ac.cn/gsa-human/browse/HRA009721</ext-link>. The proteomic data are deposited in the PRIDE database under the ProteomeXchange accession number PXD059894, with the project webpage available at <ext-link ext-link-type="uri" xlink:href="https://www.ebi.ac.uk/pride/archive/projects/PXD059894">https://www.ebi.ac.uk/pride/archive/projects/PXD059894</ext-link> and the FTP download at <ext-link ext-link-type="uri" xlink:href="https://ftp.pride.ebi.ac.uk/pride/data/archive/2025/09/PXD059894">https://ftp.pride.ebi.ac.uk/pride/data/archive/2025/09/PXD059894</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethical Committee for Research with Medications (CEIM) at the Quir&#x000F3;nsalud-Catalunya Hospital Group (protocol code IDI-20210749, approval record No. 01/2022). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>ED-G: Methodology, Formal analysis, Investigation, Writing &#x02013; original draft. JR-T: Writing &#x02013; review &#x00026; editing, Supervision, Conceptualization, Funding acquisition, Project administration. MP-S: Writing &#x02013; review &#x00026; editing, Supervision. CM-T: Methodology, Writing &#x02013; review &#x00026; editing. RG-M: Methodology, Writing &#x02013; review &#x00026; editing. CD-L: Project administration, Supervision, Writing &#x02013; review &#x00026; editing. AM-L: Project administration, Writing &#x02013; review &#x00026; editing, Conceptualization, Supervision, Funding acquisition. DC: Conceptualization, Project administration, Writing &#x02013; review &#x00026; editing, Funding acquisition.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The study was conducted with the co-financing of Pronacera Therapeutics S.L and the Center for the Development of Industrial Technology (CDTI) of the Spanish Ministry of Science (project code: IDI-20210749).</p>
</sec>
<ack><p>This project has been fully completed with the kind collaboration of volunteers and FM patients, with a crucial role being played by several FM associations that will help to study coordination. These associations, in alphabetical order, are: ACEF (Asociaci&#x000F3;n C&#x000E1;ntabra de Fibromialgia; Santander, Spain), ACOFI (Asociaci&#x000F3;n Cordobesa de Fibromialgia; C&#x000F3;rdoba, Spain), AENFIPA (Asociaci&#x000F3;n de Enfermos de Fibromialgia y S&#x000ED;ndrome de Fatiga Cr&#x000F3;nica del Principado de Asturias; Oviedo, Spain), AFIAL (Asociaci&#x000F3;n de Fibromialgia y S&#x000ED;ndrome de Fatiga Cr&#x000F3;nica; Almer&#x000ED;a, Spain), AFIBRODON (Asociaci&#x000F3;n de Enfermos de FM de Don Benito; Don Benito, Badajoz, Spain), AFIBROL (Asociaci&#x000F3;n de Fibromialgia y Fatiga Cr&#x000F3;nica de Olivenza; Olivenza, Badajoz, Spain), AFIBROM (Asociaci&#x000F3;n de Pacientes de Fibromialgia, S&#x000ED;ndrome de Fatiga Cr&#x000F3;nica-Encefalomielitis Mi&#x000E1;lgica y Sensibilidad Qu&#x000ED;mica M&#x000FA;ltiple de la Comunidad de Madrid; Madrid, Spain), AFIBROSAL (Asociaci&#x000F3;n de Fibromialgia de Salamanca; Salamanca, Spain), AFIBROSE (Asociaci&#x000F3;n de Fibromialgia de Sevilla; Seville, Spain), AFIBROVI (Asociaci&#x000F3;n Fibromialgia y Fatiga Cr&#x000F3;nica de Villarrobledo; Villarrobledo, Albacete, Spain), AFICROVALL (Asociaci&#x000F3;n de Fibromialgia y S&#x000ED;ndrome de Fatiga Cr&#x000F3;nica de Valladolid; Valladolid, Spain), AFINORC (Asociaci&#x000F3;n de Fibromialgia del Norte de C&#x000F3;rdoba; Pozoblanco, C&#x000F3;rdoba, Spain), AFIJE (Asociaci&#x000F3;n de Fibromialgia Jerezana; Jerez de la Frontera, C&#x000E1;diz, Spain), AFITA (Asociaci&#x000F3;n de Fibromialgia de Tarifa; Tarifa, C&#x000E1;diz, Spain), AFIXA (Asociaci&#x000F3;n de Fibromialgia de Ja&#x000E9;n; Ja&#x000E9;n, Spain), AGRAFIM (Asociaci&#x000F3;n Granadina de Fibromialgia; Granada, Spain), ALFIEL (Asociaci&#x000F3;n Lucha contra la FM de El Ejido; El Ejido, Almer&#x000ED;a, Spain), APAFER (Asociaci&#x000F3;n de Pacientes con Fibromialgia, Fatiga Cr&#x000F3;nica y otras Enfermedades Reum&#x000E1;ticas; Mijas, M&#x000E1;laga, Spain), ASAFA (Asociaci&#x000F3;n de Fibromialgia y Fatiga Cr&#x000F3;nica de Zaragoza; Zaragoza, Spain), AVAFI (Asociaci&#x000F3;n Valenciana de Afectados de Fibromialgia; Valencia, Spain); CONFESQ (Coalici&#x000F3;n Nacional de Fibromialgia, S&#x000ED;ndrome de Fatiga Cr&#x000F3;nica, Sensibilidad Qu&#x000ED;mica M&#x000FA;ltiple y Electrohipersensibilidad; Spain), BAAF (Badalona Associaci&#x000F3; Afectats De Fibromi&#x000E0;lgia; Badalona, Barcelona, Spain), BIZI BIDE (Asociaci&#x000F3;n Guipuzcoana de Fibromialgia y S&#x000ED;ndrome de Fatiga Cr&#x000F3;nica; Gipuzkoa, Spain), FIBROFELS (Associaci&#x000F3; de Fibromi&#x000E0;lgia de Castelldefels; Casteldefels, Barcelona, Spain), FIBROSEGOVIA FM-SG (Asociaci&#x000F3;n de FM de Segovia; Segovia, Spain), and FIBROSIERRA (Asociaci&#x000F3;n de Enfermos de Fibromialgia; Aracena, Huelva, Spain).</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>Pronacera Therapeutics S.L. develops and provides molecular tests for the prevention, diagnosis, and personalized treatment of several conditions, involving the analysis of genes, proteins, and microbial components in human samples. Neither the patients nor the healthcare professionals participating in this study received any payment, nor did they have any influence. Hence, the study was conducted with the co-financing of Pronacera Therapeutics S.L and the Center for the Development of Industrial Technology (CDTI) of the Spanish Ministry of Science.</p>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2025.1641185/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmicb.2025.1641185/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>FM, fibromyalgia; CNS, central nervous system; SOD1, superoxide dismutase 1; CAT, catalase; NADPH, nicotinamide adenine dinucleotide phosphate; ROS, reactive oxygen species; HPA, hypothalamic pituitary adrenal; ACR, American College of Rheumatology; EULAR, European League Against Rheumatism; CI, confidence interval; CEIM, Ethical Committee for Research with Medications; PF, physical functioning; PH, physical health; P, pain; GH, general health; V, vitality; SF, social functioning; EP, emotional problems; MH, mental health; FIQR, Revised Fibromyalgia Impact Questionnaire; FDR, false discovery rate; IPA, ingenuity pathways analysis; zOTU, Zero-Radius Operational Taxonomic Unit; SD, standard deviation; H<sub>0</sub>, null hypothesis; AUC, area under the curve; ROC, receiver operating characteristic; FC, fold change; GABA, &#x003B3;-aminobutiric acid.</p></fn></fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Afzaal</surname> <given-names>M.</given-names></name> <name><surname>Saeed</surname> <given-names>F.</given-names></name> <name><surname>Shah</surname> <given-names>Y. A.</given-names></name> <name><surname>Hussain</surname> <given-names>M.</given-names></name> <name><surname>Rabail</surname> <given-names>R.</given-names></name> <name><surname>Socol</surname> <given-names>C. T.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Human gut microbiota in health and disease: unveiling the relationship</article-title>. <source>Front. Microbiol</source>. <volume>13</volume>:<fpage>999001</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2022.999001</pub-id><pub-id pub-id-type="pmid">36225386</pub-id></citation></ref>
<ref id="B2">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Akku&#x0015F;</surname> <given-names>S.</given-names></name> <name><surname>Naziroglu</surname> <given-names>M.</given-names></name> <name><surname>Eri&#x0015F;</surname> <given-names>S.</given-names></name> <name><surname>Yalman</surname> <given-names>K.</given-names></name> <name><surname>Yilmaz</surname> <given-names>N.</given-names></name> <name><surname>Yener</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2009</year>). <article-title>Levels of lipid peroxidation, nitric oxide, and antioxidant vitamins in plasma of patients with fibromyalgia</article-title>. <source>Cell Biochem. Funct</source>. <volume>27</volume>, <fpage>181</fpage>&#x02013;<lpage>185</lpage>. <pub-id pub-id-type="doi">10.1002/cbf.1548</pub-id><pub-id pub-id-type="pmid">19319826</pub-id></citation></ref>
<ref id="B3">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alcocer-G&#x000F3;mez</surname> <given-names>E.</given-names></name> <name><surname>Garrido-Maraver</surname> <given-names>J.</given-names></name> <name><surname>Bull&#x000F3;n</surname> <given-names>P.</given-names></name> <name><surname>Mar&#x000ED;n-Aguilar</surname> <given-names>F.</given-names></name> <name><surname>Cot&#x000E1;n</surname> <given-names>D.</given-names></name> <name><surname>Carri&#x000F3;n</surname> <given-names>A. M.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Metformin and caloric restriction induce an AMPK-dependent restoration of mitochondrial dysfunction in fibroblasts from Fibromyalgia patients</article-title>. <source>Biochim. Biophys. Acta Mol. Basis Dis</source>. <volume>1852</volume>, <fpage>1257</fpage>&#x02013;<lpage>1267</lpage>. <pub-id pub-id-type="doi">10.1016/j.bbadis.2015.03.005</pub-id><pub-id pub-id-type="pmid">25779083</pub-id></citation></ref>
<ref id="B4">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Altindag</surname> <given-names>O.</given-names></name> <name><surname>Celik</surname> <given-names>H.</given-names></name></person-group> (<year>2006</year>). <article-title>Total antioxidant capacity and the severity of the pain in patients with fibromyalgia</article-title>. <source>Redox Rep</source>. <volume>11</volume>, <fpage>131</fpage>&#x02013;<lpage>135</lpage>. <pub-id pub-id-type="doi">10.1179/135100006X116628</pub-id><pub-id pub-id-type="pmid">16805968</pub-id></citation></ref>
<ref id="B5">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Assavarittirong</surname> <given-names>C.</given-names></name> <name><surname>Samborski</surname> <given-names>W.</given-names></name> <name><surname>Grygiel-G&#x000F3;rniak</surname> <given-names>B.</given-names></name></person-group> (<year>2022</year>). <article-title>Oxidative stress in fibromyalgia: from pathology to treatment</article-title>. <source>Oxid. Med. Cell. Longev.</source> <volume>2022</volume>:<fpage>1582432</fpage>. <pub-id pub-id-type="doi">10.1155/2022/1582432</pub-id><pub-id pub-id-type="pmid">36246401</pub-id></citation></ref>
<ref id="B6">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bains</surname> <given-names>A.</given-names></name> <name><surname>Kohrman</surname> <given-names>S.</given-names></name> <name><surname>Punko</surname> <given-names>D.</given-names></name> <name><surname>Fricchione</surname> <given-names>G. A.</given-names></name></person-group> (<year>2023</year>). <article-title>Link between inflammatory mechanisms and fibromyalgia</article-title>. <source>Adv. Exp. Med. Biol.</source> <volume>1411</volume>, <fpage>357</fpage>&#x02013;<lpage>378</lpage>. <pub-id pub-id-type="doi">10.1007/978-981-19-7376-5_16</pub-id><pub-id pub-id-type="pmid">36949318</pub-id></citation></ref>
<ref id="B7">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baker</surname> <given-names>J. M.</given-names></name> <name><surname>Al-Nakkash</surname> <given-names>L.</given-names></name> <name><surname>Herbst-Kralovetz</surname> <given-names>M. M.</given-names></name></person-group> (<year>2017</year>). <article-title>Estrogen&#x02013;gut microbiome axis: physiological and clinical implications</article-title>. <source>Maturitas</source> <volume>103</volume>, <fpage>45</fpage>&#x02013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1016/j.maturitas.2017.06.025</pub-id><pub-id pub-id-type="pmid">28778332</pub-id></citation></ref>
<ref id="B8">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bennett</surname> <given-names>M.</given-names></name> <name><surname>Chin</surname> <given-names>A.</given-names></name> <name><surname>Lee</surname> <given-names>H. J.</given-names></name> <name><surname>Morales Cestero</surname> <given-names>E.</given-names></name> <name><surname>Strazielle</surname> <given-names>N.</given-names></name> <name><surname>Ghersi-Egea</surname> <given-names>J. F.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Proteoglycan 4 reduces neuroinflammation and protects the blood-brain barrier after traumatic brain injury</article-title>. <source>J. Neurotrauma</source>. <volume>38</volume>, <fpage>385</fpage>&#x02013;<lpage>398</lpage>. <pub-id pub-id-type="doi">10.1089/neu.2020.7229</pub-id><pub-id pub-id-type="pmid">32940130</pub-id></citation></ref>
<ref id="B9">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boomershine</surname> <given-names>C.</given-names></name></person-group> (<year>2015</year>). <article-title>Fibromyalgia: the prototypical central sensitivity syndrome</article-title>. <source>Curr. Rheumatol. Rev</source>. <volume>11</volume>, <fpage>131</fpage>&#x02013;<lpage>145</lpage>. <pub-id pub-id-type="doi">10.2174/1573397111666150619095007</pub-id><pub-id pub-id-type="pmid">26088213</pub-id></citation></ref>
<ref id="B10">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cant&#x000F3;-Santos</surname> <given-names>J.</given-names></name> <name><surname>Grau-Junyent</surname> <given-names>J. M.</given-names></name> <name><surname>Garrabou</surname> <given-names>G.</given-names></name></person-group> (<year>2020</year>). <article-title>The impact of mitochondrial deficiencies in neuromuscular diseases</article-title>. <source>Antioxidants</source> <volume>9</volume>, <fpage>1</fpage>&#x02013;<lpage>29</lpage>. <pub-id pub-id-type="doi">10.3390/antiox9100964</pub-id><pub-id pub-id-type="pmid">33050147</pub-id></citation></ref>
<ref id="B11">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Castro-Marrero</surname> <given-names>J.</given-names></name> <name><surname>Cordero</surname> <given-names>M. D.</given-names></name> <name><surname>S&#x000E1;ez-Francas</surname> <given-names>N.</given-names></name> <name><surname>Jimenez-Gutierrez</surname> <given-names>C.</given-names></name> <name><surname>Aguilar-Montilla</surname> <given-names>F. J.</given-names></name> <name><surname>Aliste</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>Could mitochondrial dysfunction be a differentiating marker between chronic fatigue syndrome and fibromyalgia?</article-title> <source>Antioxid. Redox Signal</source>. <volume>19</volume>, <fpage>1855</fpage>&#x02013;<lpage>1860</lpage>. <pub-id pub-id-type="doi">10.1089/ars.2013.5346</pub-id><pub-id pub-id-type="pmid">23600892</pub-id></citation></ref>
<ref id="B12">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>W.</given-names></name> <name><surname>Zhao</surname> <given-names>H.</given-names></name> <name><surname>Mitochondrial</surname> <given-names>L. i. Y.</given-names></name></person-group> (<year>2023</year>). <article-title>dynamics in health and disease: mechanisms and potential targets</article-title>. <source>Signal Transduct. Target. Ther.</source> <volume>8</volume>:<fpage>1</fpage>&#x02013;<lpage>25</lpage>. <pub-id pub-id-type="doi">10.1038/s41392-023-01547-9</pub-id><pub-id pub-id-type="pmid">37669960</pub-id></citation></ref>
<ref id="B13">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clauw</surname> <given-names>D. J.</given-names></name></person-group> (<year>2014</year>). <article-title>Fibromyalgia: a clinical review</article-title>. <source>JAMA</source>. <volume>311</volume>, <fpage>1547</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1001/jama.2014.3266</pub-id><pub-id pub-id-type="pmid">24737367</pub-id></citation></ref>
<ref id="B14">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clos-Garcia</surname> <given-names>M.</given-names></name> <name><surname>Andr&#x000E9;s-Marin</surname> <given-names>N.</given-names></name> <name><surname>Fern&#x000E1;ndez-Eulate</surname> <given-names>G.</given-names></name> <name><surname>Abecia</surname> <given-names>L.</given-names></name> <name><surname>Lav&#x000ED;n</surname> <given-names>J. L.</given-names></name> <name><surname>van Liempd</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Gut microbiome and serum metabolome analyses identify molecular biomarkers and altered glutamate metabolism in fibromyalgia</article-title>. <source>EBioMedicine</source> <volume>46</volume>, <fpage>499</fpage>&#x02013;<lpage>511</lpage>. <pub-id pub-id-type="doi">10.1016/j.ebiom.2019.07.031</pub-id><pub-id pub-id-type="pmid">31327695</pub-id></citation></ref>
<ref id="B15">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cordero</surname> <given-names>M. D.</given-names></name> <name><surname>Alcocer-G&#x000F3;mez</surname> <given-names>E.</given-names></name> <name><surname>Mar&#x000ED;n-Aguilar</surname> <given-names>F.</given-names></name> <name><surname>Rybkina</surname> <given-names>T.</given-names></name> <name><surname>Cot&#x000E1;n</surname> <given-names>D.</given-names></name> <name><surname>P&#x000E9;rez-Pulido</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Mutation in cytochrome b gene of mitochondrial DNA in a family with fibromyalgia is associated with NLRP3-inflammasome activation</article-title>. <source>J. Med. Genet</source>. <volume>53</volume>, <fpage>113</fpage>&#x02013;<lpage>122</lpage>. <pub-id pub-id-type="doi">10.1136/jmedgenet-2015-103392</pub-id><pub-id pub-id-type="pmid">26566881</pub-id></citation></ref>
<ref id="B16">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cordero</surname> <given-names>M. D.</given-names></name> <name><surname>De Miguel</surname> <given-names>M.</given-names></name> <name><surname>Moreno Fern&#x000E1;ndez</surname> <given-names>A. M.</given-names></name> <name><surname>Carmona L&#x000F3;pez</surname> <given-names>I. M.</given-names></name> <name><surname>Garrido Maraver</surname> <given-names>J.</given-names></name> <name><surname>Cot&#x000E1;n</surname> <given-names>D.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Mitochondrial dysfunction and mitophagy activation in blood mononuclear cells of fibromyalgia patients: implications in the pathogenesis of the disease</article-title>. <source>Arthritis Res. Ther</source>. <volume>12</volume>:<fpage>R17</fpage>. <pub-id pub-id-type="doi">10.1186/ar2918</pub-id><pub-id pub-id-type="pmid">20109177</pub-id></citation></ref>
<ref id="B17">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cordero</surname> <given-names>M. D.</given-names></name> <name><surname>D&#x000ED;az-Parrado</surname> <given-names>E.</given-names></name> <name><surname>Carri&#x000F3;n</surname> <given-names>A. M.</given-names></name> <name><surname>Alfonsi</surname> <given-names>S.</given-names></name> <name><surname>S&#x000E1;nchez-Alcazar</surname> <given-names>J. A.</given-names></name> <name><surname>Bull&#x000F3;n</surname> <given-names>P.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>Is inflammation a mitochondrial dysfunction-dependent event in fibromyalgia?</article-title> <source>Antioxid. Redox Signal</source> <volume>18</volume>, <fpage>800</fpage>&#x02013;<lpage>807</lpage>. <pub-id pub-id-type="doi">10.1089/ars.2012.4892</pub-id><pub-id pub-id-type="pmid">22938055</pub-id></citation></ref>
<ref id="B18">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Coskun Benlidayi</surname> <given-names>I.</given-names></name></person-group> (<year>2019</year>). <article-title>Role of inflammation in the pathogenesis and treatment of fibromyalgia</article-title>. <source>Rheumatol. Int</source>. <volume>39</volume>, <fpage>781</fpage>&#x02013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.1007/s00296-019-04251-6</pub-id><pub-id pub-id-type="pmid">30756137</pub-id></citation></ref>
<ref id="B19">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Costa</surname> <given-names>S. P.</given-names></name> <name><surname>Lage</surname> <given-names>L. V.</given-names></name> <name><surname>Da Mota</surname> <given-names>L. H.</given-names></name> <name><surname>De Carvalho</surname> <given-names>J. F.</given-names></name></person-group> (<year>2011</year>). <article-title>Fibromyalgia in primary antiphospholipid (Hughes) syndrome</article-title>. <source>Lupus</source> <volume>20</volume>, <fpage>1182</fpage>&#x02013;<lpage>1186</lpage>. <pub-id pub-id-type="doi">10.1177/0961203311411962</pub-id><pub-id pub-id-type="pmid">21813585</pub-id></citation></ref>
<ref id="B20">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Darvesh</surname> <given-names>S.</given-names></name> <name><surname>Hopkins</surname> <given-names>D. A.</given-names></name> <name><surname>Geula</surname> <given-names>C.</given-names></name></person-group> (<year>2003</year>). <article-title>Neurobiology of butyrylcholinesterase</article-title>. <source>Nat. Rev. Neurosci</source>. <volume>4</volume>, <fpage>131</fpage>&#x02013;<lpage>138</lpage>. <pub-id pub-id-type="doi">10.1038/nrn1035</pub-id><pub-id pub-id-type="pmid">12563284</pub-id></citation></ref>
<ref id="B21">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Desbonnet</surname> <given-names>L.</given-names></name> <name><surname>Garrett</surname> <given-names>L.</given-names></name> <name><surname>Clarke</surname> <given-names>G.</given-names></name> <name><surname>Kiely</surname> <given-names>B.</given-names></name> <name><surname>Cryan</surname> <given-names>J. F.</given-names></name> <name><surname>Dinan</surname> <given-names>T. G.</given-names></name> <etal/></person-group>. (<year>2010</year>). <article-title>Effects of the probiotic <italic>Bifidobacterium infantis</italic> in the maternal separation model of depression</article-title>. <source>Neuroscience</source> <volume>170</volume>, <fpage>1179</fpage>&#x02013;<lpage>1188</lpage>. <pub-id pub-id-type="doi">10.1016/j.neuroscience.2010.08.005</pub-id><pub-id pub-id-type="pmid">20696216</pub-id></citation></ref>
<ref id="B22">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Erdrich</surname> <given-names>S.</given-names></name> <name><surname>Hawrelak</surname> <given-names>J. A.</given-names></name> <name><surname>Myers</surname> <given-names>S. P.</given-names></name> <name><surname>Harnett</surname> <given-names>J. E.</given-names></name></person-group> (<year>2020</year>). <article-title>Determining the association between fibromyalgia, the gut microbiome and its biomarkers: a systematic review</article-title>. <source>BMC Musculoskelet. Disord</source>. <volume>21</volume>:<fpage>181</fpage>. <pub-id pub-id-type="doi">10.1186/s12891-020-03201-9</pub-id><pub-id pub-id-type="pmid">32192466</pub-id></citation></ref>
<ref id="B23">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ervin</surname> <given-names>S. M.</given-names></name> <name><surname>Li</surname> <given-names>H.</given-names></name> <name><surname>Lim</surname> <given-names>L.</given-names></name> <name><surname>Roberts</surname> <given-names>L. R.</given-names></name> <name><surname>Liang</surname> <given-names>X.</given-names></name> <name><surname>Mani</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Gut microbial &#x003B2;-glucuronidases reactivate estrogens as components of the estrobolome that reactivate estrogens</article-title>. <source>J. Biol. Chem</source>. <volume>294</volume>, <fpage>18586</fpage>&#x02013;<lpage>18599</lpage>. <pub-id pub-id-type="doi">10.1074/jbc.RA119.010950</pub-id><pub-id pub-id-type="pmid">31636122</pub-id></citation></ref>
<ref id="B24">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ewels</surname> <given-names>P.</given-names></name> <name><surname>Magnusson</surname> <given-names>M.</given-names></name> <name><surname>Lundin</surname> <given-names>S.</given-names></name> <name><surname>K&#x000E4;ller</surname> <given-names>M.</given-names></name></person-group> (<year>2016</year>). <article-title>MultiQC: summarize analysis results for multiple tools and samples in a single report</article-title>. <source>Bioinformatics</source> <volume>32</volume>, <fpage>3047</fpage>&#x02013;<lpage>3048</lpage>. <pub-id pub-id-type="doi">10.1093/bioinformatics/btw354</pub-id><pub-id pub-id-type="pmid">27312411</pub-id></citation></ref>
<ref id="B25">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Falco</surname> <given-names>P.</given-names></name> <name><surname>Galosi</surname> <given-names>E.</given-names></name> <name><surname>Di Stefano</surname> <given-names>G.</given-names></name> <name><surname>Leone</surname> <given-names>C.</given-names></name> <name><surname>Di Pietro</surname> <given-names>G.</given-names></name> <name><surname>Tramontana</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Autonomic small-fiber pathology in patients with fibromyalgia</article-title>. <source>J. Pain</source> <volume>25</volume>, <fpage>64</fpage>&#x02013;<lpage>72</lpage>. <pub-id pub-id-type="doi">10.1016/j.jpain.2023.07.020</pub-id><pub-id pub-id-type="pmid">37524221</pub-id></citation></ref>
<ref id="B26">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Frigo</surname> <given-names>D. E.</given-names></name> <name><surname>Bondesson</surname> <given-names>M.</given-names></name> <name><surname>Williams</surname> <given-names>C.</given-names></name></person-group> (<year>2021</year>). <article-title>Nuclear receptors: from molecular mechanisms to therapeutics</article-title>. <source>Essays Biochem</source>. <volume>65</volume>, <fpage>847</fpage>&#x02013;<lpage>856</lpage>. <pub-id pub-id-type="doi">10.1042/EBC20210020</pub-id><pub-id pub-id-type="pmid">34825698</pub-id></citation></ref>
<ref id="B27">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garofalo</surname> <given-names>C.</given-names></name> <name><surname>Cristiani</surname> <given-names>C. M.</given-names></name> <name><surname>Ilari</surname> <given-names>S.</given-names></name> <name><surname>Passacatini</surname> <given-names>L. C.</given-names></name> <name><surname>Malafoglia</surname> <given-names>V.</given-names></name> <name><surname>Viglietto</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Fibromyalgia and irritable bowel syndrome interaction: a possible role for gut microbiota and gut-brain axis</article-title>. <source>Biomedicines</source> <volume>11</volume>:<fpage>1701</fpage>. <pub-id pub-id-type="doi">10.3390/biomedicines11061701</pub-id><pub-id pub-id-type="pmid">37371796</pub-id></citation></ref>
<ref id="B28">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gerdle</surname> <given-names>B.</given-names></name> <name><surname>Ghafouri</surname> <given-names>B.</given-names></name> <name><surname>Lund</surname> <given-names>E.</given-names></name> <name><surname>Bengtsson</surname> <given-names>A.</given-names></name> <name><surname>Lundberg</surname> <given-names>P.</given-names></name> <name><surname>van Ettinger-Veenstra</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Evidence of mitochondrial dysfunction in fibromyalgia: deviating muscle energy metabolism detected using microdialysis and magnetic resonance</article-title>. <source>J. Clin. Med</source>. <volume>9</volume>, <fpage>1</fpage>&#x02013;<lpage>26</lpage>. <pub-id pub-id-type="doi">10.3390/jcm9113527</pub-id><pub-id pub-id-type="pmid">33142767</pub-id></citation></ref>
<ref id="B29">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Giorgi</surname> <given-names>V.</given-names></name> <name><surname>Bazzichi</surname> <given-names>L.</given-names></name> <name><surname>Batticciotto</surname> <given-names>A.</given-names></name> <name><surname>Pellegrino</surname> <given-names>G.</given-names></name> <name><surname>Di Franco</surname> <given-names>M.</given-names></name> <name><surname>Sirotti</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Fibromyalgia: one year in review 2023</article-title>. <source>Clin. Exp. Rheumatol.</source> <volume>41</volume>, <fpage>1205</fpage>&#x02013;<lpage>1213</lpage>. <pub-id pub-id-type="doi">10.55563/clinexprheumatol/257e99</pub-id><pub-id pub-id-type="pmid">37378487</pub-id></citation></ref>
<ref id="B30">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Goebel</surname> <given-names>A.</given-names></name> <name><surname>Buhner</surname> <given-names>S.</given-names></name> <name><surname>Schedel</surname> <given-names>R.</given-names></name> <name><surname>Lochs</surname> <given-names>H.</given-names></name> <name><surname>Sprotte</surname> <given-names>G.</given-names></name></person-group> (<year>2008</year>). <article-title>Altered intestinal permeability in patients with primary fibromyalgia and in patients with complex regional pain syndrome</article-title>. <source>Rheumatology</source> <volume>47</volume>, <fpage>1223</fpage>&#x02013;<lpage>1227</lpage>. <pub-id pub-id-type="doi">10.1093/rheumatology/ken140</pub-id><pub-id pub-id-type="pmid">18540025</pub-id></citation></ref>
<ref id="B31">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Goebel</surname> <given-names>A.</given-names></name> <name><surname>Krock</surname> <given-names>E.</given-names></name> <name><surname>Gentry</surname> <given-names>C.</given-names></name> <name><surname>Israel</surname> <given-names>M. R.</given-names></name> <name><surname>Jurczak</surname> <given-names>A.</given-names></name> <name><surname>Urbina</surname> <given-names>C. M.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Passive transfer of fibromyalgia symptoms from patients to mice</article-title>. <source>J. Clin. Invest</source>. <volume>131</volume>:<fpage>7344</fpage>. <pub-id pub-id-type="doi">10.1172/JCI144201</pub-id><pub-id pub-id-type="pmid">34196305</pub-id></citation></ref>
<ref id="B32">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gross</surname> <given-names>A.</given-names></name> <name><surname>Pack</surname> <given-names>L. A. P.</given-names></name> <name><surname>Schacht</surname> <given-names>G. M.</given-names></name> <name><surname>Kant</surname> <given-names>S.</given-names></name> <name><surname>Ungewiss</surname> <given-names>H.</given-names></name> <name><surname>Meir</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Desmoglein 2, but not desmocollin 2, protects intestinal epithelia from injury</article-title>. <source>Mucosal Immunol</source>. <volume>11</volume>, <fpage>1630</fpage>&#x02013;<lpage>1639</lpage>. <pub-id pub-id-type="doi">10.1038/s41385-018-0062-z</pub-id><pub-id pub-id-type="pmid">30115995</pub-id></citation></ref>
<ref id="B33">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hamamah</surname> <given-names>S.</given-names></name> <name><surname>Aghazarian</surname> <given-names>A.</given-names></name> <name><surname>Nazaryan</surname> <given-names>A.</given-names></name> <name><surname>Hajnal</surname> <given-names>A.</given-names></name> <name><surname>Covasa</surname> <given-names>M.</given-names></name></person-group> (<year>2022</year>). <article-title>Role of microbiota-gut-brain axis in regulating dopaminergic signaling</article-title>. <source>Biomedicines</source> <volume>10</volume>:<fpage>436</fpage>. <pub-id pub-id-type="doi">10.3390/biomedicines10020436</pub-id><pub-id pub-id-type="pmid">35203645</pub-id></citation></ref>
<ref id="B34">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Han</surname> <given-names>C. L.</given-names></name> <name><surname>Sheng</surname> <given-names>Y. C.</given-names></name> <name><surname>Wang</surname> <given-names>S. Y.</given-names></name> <name><surname>Chen</surname> <given-names>Y. H.</given-names></name> <name><surname>Kang</surname> <given-names>J. H.</given-names></name></person-group> (<year>2020</year>). <article-title>Serum proteome profiles revealed dysregulated proteins and mechanisms associated with fibromyalgia syndrome in women</article-title>. <source>Sci. Rep</source>. <volume>10</volume>:<fpage>12347</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-020-69271-w</pub-id><pub-id pub-id-type="pmid">32704114</pub-id></citation></ref>
<ref id="B35">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hernandez-Leon</surname> <given-names>A.</given-names></name> <name><surname>De la Luz-Cuellar</surname> <given-names>Y. E.</given-names></name> <name><surname>Granados-Soto</surname> <given-names>V.</given-names></name> <name><surname>Gonz&#x000E1;lez-Trujano</surname> <given-names>M. E.</given-names></name> <name><surname>Fern&#x000E1;ndez-Guasti</surname> <given-names>A.</given-names></name></person-group> (<year>2018</year>). <article-title>Sex differences and estradiol involvement in hyperalgesia and allodynia in an experimental model of fibromyalgia</article-title>. <source>Horm. Behav</source>. <volume>97</volume>, <fpage>39</fpage>&#x02013;<lpage>46</lpage>. <pub-id pub-id-type="doi">10.1016/j.yhbeh.2017.10.011</pub-id><pub-id pub-id-type="pmid">29080671</pub-id></citation></ref>
<ref id="B36">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>S.</given-names></name> <name><surname>Ding</surname> <given-names>Q.</given-names></name> <name><surname>Zhang</surname> <given-names>W.</given-names></name> <name><surname>Kang</surname> <given-names>M.</given-names></name> <name><surname>Ma</surname> <given-names>J.</given-names></name> <name><surname>Zhao</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Gut microbial beta-glucuronidase: a vital regulator in female estrogen metabolism</article-title>. <source>Gut Microbes</source> <volume>15</volume>:<fpage>2236749</fpage>. <pub-id pub-id-type="doi">10.1080/19490976.2023.2236749</pub-id><pub-id pub-id-type="pmid">37559394</pub-id></citation></ref>
<ref id="B37">
<citation citation-type="web"><person-group person-group-type="author"><collab>Illumina</collab></person-group> (<year>n.d.</year>). <source>16S Metagenomic Sequencing Library Preparation: Preparing 16S Ribosomal RNA Gene Amplicons for the Illumina MiSeq System (Part &#x00023; 15044223 Rev. B) [PDF]</source>. Illumina. Available online at: <ext-link ext-link-type="uri" xlink:href="https://support.illumina.com/documents/documentation/chemistry_documentation/16s/16s-metagenomic-library-prep-guide-15044223-b.pdf">https://support.illumina.com/documents/documentation/chemistry_documentation/16s/16s-metagenomic-library-prep-guide-15044223-b.pdf</ext-link> (Retrieved September 2, 2024).</citation>
</ref>
<ref id="B38">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Inciarte-Mundo</surname> <given-names>J.</given-names></name> <name><surname>Frade-Sosa</surname> <given-names>B.</given-names></name> <name><surname>Sanmart&#x000ED;</surname> <given-names>R.</given-names></name></person-group> (<year>2022</year>). <article-title>From bench to bedside: calprotectin (S100A8/S100A9) as a biomarker in rheumatoid arthritis</article-title>. <source>Front. Immunol.</source> <volume>13</volume>:<fpage>1001025</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2022.1001025</pub-id><pub-id pub-id-type="pmid">36405711</pub-id></citation></ref>
<ref id="B39">
<citation citation-type="web"><person-group person-group-type="author"><collab>Jefatura del Estado</collab></person-group>. (<year>2018</year>). <article-title>Ley Org&#x000E1;nica 3/2018, de 5 de diciembre, de Protecci&#x000F3;n de Datos Personales y garant&#x000ED;a de los derechos digitales [Ley Org&#x000E1;nica, Disposici&#x000F3;n 16673]</article-title>. <source>Bol. Off. Estado</source> <volume>294</volume>:<fpage>119788</fpage>. Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.boe.es/buscar/act.php?id=BOE-A-2018-16673">https://www.boe.es/buscar/act.php?id=BOE-A-2018-16673</ext-link> (Retrieved September 2, 2024).</citation>
</ref>
<ref id="B40">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kaci</surname> <given-names>G.</given-names></name> <name><surname>Goudercourt</surname> <given-names>D.</given-names></name> <name><surname>Dennin</surname> <given-names>V.</given-names></name> <name><surname>Pot</surname> <given-names>B.</given-names></name> <name><surname>Dor&#x000E9;</surname> <given-names>J.</given-names></name> <name><surname>Ehrlich</surname> <given-names>S. D.</given-names></name> <etal/></person-group>. (<year>2014</year>). <article-title>Anti-inflammatory properties of <italic>Streptococcus salivarius</italic>, a commensal bacterium of the oral cavity and digestive tract</article-title>. <source>Appl. Environ. Microbiol</source>. <volume>80</volume>, <fpage>928</fpage>&#x02013;<lpage>934</lpage>. <pub-id pub-id-type="doi">10.1128/AEM.03133-13</pub-id><pub-id pub-id-type="pmid">24271166</pub-id></citation></ref>
<ref id="B41">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Komorowski</surname> <given-names>A. S.</given-names></name> <name><surname>Pezo</surname> <given-names>R. C.</given-names></name></person-group> (<year>2020</year>). <article-title>Untapped &#x0201C;-omics&#x0201D;: the microbial metagenome, estrobolome, and their influence on the development of breast cancer and response to treatment</article-title>. <source>Breast Cancer Res. Treat</source>. <volume>179</volume>, <fpage>287</fpage>&#x02013;<lpage>300</lpage>. <pub-id pub-id-type="doi">10.1007/s10549-019-05472-w</pub-id><pub-id pub-id-type="pmid">31646389</pub-id></citation></ref>
<ref id="B42">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kundakci</surname> <given-names>B.</given-names></name> <name><surname>Kaur</surname> <given-names>J.</given-names></name> <name><surname>Goh</surname> <given-names>S. L.</given-names></name> <name><surname>Hall</surname> <given-names>M.</given-names></name> <name><surname>Doherty</surname> <given-names>M.</given-names></name> <name><surname>Zhang</surname> <given-names>W.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Efficacy of nonpharmacological interventions for individual features of fibromyalgia: a systematic review and meta-analysis of randomised controlled trials</article-title>. <source>Pain</source> <volume>163</volume>, <fpage>1432</fpage>&#x02013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1097/j.pain.0000000000002500</pub-id><pub-id pub-id-type="pmid">34813518</pub-id></citation></ref>
<ref id="B43">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kwa</surname> <given-names>M.</given-names></name> <name><surname>Plottel</surname> <given-names>C. S.</given-names></name> <name><surname>Blaser</surname> <given-names>M. J.</given-names></name> <name><surname>Adams</surname> <given-names>S.</given-names></name></person-group> (<year>2016</year>). <article-title>The intestinal microbiome and estrogen receptor-positive female breast cancer</article-title>. <source>J. Natl. Cancer Inst</source>. <volume>108</volume>:<fpage>djw029</fpage>. <pub-id pub-id-type="doi">10.1093/jnci/djw029</pub-id><pub-id pub-id-type="pmid">27107051</pub-id></citation></ref>
<ref id="B44">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lin</surname> <given-names>Y. J.</given-names></name> <name><surname>Ko</surname> <given-names>Y. C.</given-names></name> <name><surname>Chow</surname> <given-names>L. H.</given-names></name> <name><surname>Hsiao</surname> <given-names>F. J.</given-names></name> <name><surname>Liu</surname> <given-names>H. Y.</given-names></name> <name><surname>Wang</surname> <given-names>P. N.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Salivary cortisol is associated with cognitive changes in patients with fibromyalgia</article-title>. <source>Sci. Rep</source>. <volume>11</volume>:<fpage>1311</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-020-79349-0</pub-id><pub-id pub-id-type="pmid">33446677</pub-id></citation></ref>
<ref id="B45">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Littlejohn</surname> <given-names>G.</given-names></name> <name><surname>Guymer</surname> <given-names>E.</given-names></name></person-group> (<year>2018</year>). <article-title>Neurogenic inflammation in fibromyalgia</article-title>. <source>Semin. Immunopathol</source>. <volume>40</volume>, <fpage>291</fpage>&#x02013;<lpage>300</lpage>. <pub-id pub-id-type="doi">10.1007/s00281-018-0672-2</pub-id><pub-id pub-id-type="pmid">29556959</pub-id></citation></ref>
<ref id="B46">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>L.</given-names></name> <name><surname>Wu</surname> <given-names>Q.</given-names></name> <name><surname>Chen</surname> <given-names>Y.</given-names></name> <name><surname>Ren</surname> <given-names>H.</given-names></name> <name><surname>Zhang</surname> <given-names>Q.</given-names></name> <name><surname>Yang</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Gut microbiota in chronic pain: Novel insights into mechanisms and promising therapeutic strategies</article-title>. <source>Int. Immunopharmacol</source>. <volume>115</volume>:<fpage>109685</fpage>. <pub-id pub-id-type="doi">10.1016/j.intimp.2023.109685</pub-id><pub-id pub-id-type="pmid">37278059</pub-id></citation></ref>
<ref id="B47">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Longley</surname> <given-names>K.</given-names></name></person-group> (<year>2006</year>). <article-title>Fibromyalgia: aetiology, diagnosis, symptoms and management</article-title>. <source>Br. J. Nurs</source>. <volume>15</volume>, <fpage>729</fpage>&#x02013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.12968/bjon.2006.15.13.21487</pub-id><pub-id pub-id-type="pmid">16926725</pub-id></citation></ref>
<ref id="B48">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Love</surname> <given-names>M. I.</given-names></name> <name><surname>Huber</surname> <given-names>W.</given-names></name> <name><surname>Anders</surname> <given-names>S.</given-names></name></person-group> (<year>2014</year>). <article-title>Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2</article-title>. <source>Genome Biol</source>. <volume>15</volume>:<fpage>550</fpage>. <pub-id pub-id-type="doi">10.1186/s13059-014-0550-8</pub-id><pub-id pub-id-type="pmid">25516281</pub-id></citation></ref>
<ref id="B49">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lucena Del Amo</surname> <given-names>L.</given-names></name> <name><surname>Dur&#x000E1;n-Gonz&#x000E1;lez</surname> <given-names>E.</given-names></name> <name><surname>Ram&#x000ED;rez-Tejero</surname> <given-names>J. A.</given-names></name> <name><surname>Mart&#x000ED;nez-Lara</surname> <given-names>A.</given-names></name> <name><surname>Cot&#x000E1;n</surname> <given-names>D.</given-names></name></person-group> (<year>2023</year>). <article-title>Study protocol for FIBROKIT: a new tool for fibromyalgia diagnosis and patient follow-up. <italic>Front</italic></article-title>. <source>Neurol.</source> <volume>14</volume>:<fpage>1286539</fpage>. <pub-id pub-id-type="doi">10.3389/fneur.2023.1286539</pub-id><pub-id pub-id-type="pmid">38073622</pub-id></citation></ref>
<ref id="B50">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Macfarlane</surname> <given-names>G. J.</given-names></name> <name><surname>Kronisch</surname> <given-names>C.</given-names></name> <name><surname>Dean</surname> <given-names>L. E.</given-names></name> <name><surname>Atzeni</surname> <given-names>F.</given-names></name> <name><surname>H&#x000E4;user</surname> <given-names>W.</given-names></name> <name><surname>Flub</surname> <given-names>E.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>EULAR revised recommendations for the management of fibromyalgia</article-title>. <source>Ann. Rheum. Dis</source>. <volume>76</volume>, <fpage>318</fpage>&#x02013;<lpage>328</lpage>. <pub-id pub-id-type="doi">10.1136/annrheumdis-2016-209724</pub-id><pub-id pub-id-type="pmid">27377815</pub-id></citation></ref>
<ref id="B51">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maes</surname> <given-names>M.</given-names></name> <name><surname>Almulla</surname> <given-names>A. F.</given-names></name> <name><surname>Zhou</surname> <given-names>B.</given-names></name> <name><surname>Algon</surname> <given-names>A. A. A.</given-names></name> <name><surname>Sodsai</surname> <given-names>P.</given-names></name></person-group> (<year>2024</year>). <article-title>In major dysmood disorder, physiosomatic, chronic fatigue and fibromyalgia symptoms are driven by immune activation and increased immune-associated neurotoxicity</article-title>. <source>Sci. Rep.</source> <volume>14</volume>:<fpage>7344</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-024-57350-1</pub-id><pub-id pub-id-type="pmid">38538641</pub-id></citation></ref>
<ref id="B52">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marques</surname> <given-names>A. P.</given-names></name> <name><surname>Santo</surname> <given-names>A. S. E.</given-names></name> <name><surname>Berssaneti</surname> <given-names>A. A.</given-names></name> <name><surname>Matsutani</surname> <given-names>L. A.</given-names></name> <name><surname>Yuan</surname> <given-names>S. L. K.</given-names></name></person-group> (<year>2017</year>). <article-title>Prevalence of fibromyalgia: literature review update</article-title>. <source>Rev. Bras. Reumatol.</source> <volume>57</volume>, <fpage>356</fpage>&#x02013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1016/j.rbr.2016.10.004</pub-id></citation>
</ref>
<ref id="B53">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mart&#x000ED;nez-Lara</surname> <given-names>A.</given-names></name> <name><surname>Moreno-Fern&#x000E1;ndez</surname> <given-names>A. M.</given-names></name> <name><surname>Jim&#x000E9;nez-Guerrero</surname> <given-names>M.</given-names></name> <name><surname>D&#x000ED;az-L&#x000F3;pez</surname> <given-names>C.</given-names></name> <name><surname>De-Miguel</surname> <given-names>M.</given-names></name> <name><surname>Cot&#x000E1;n</surname> <given-names>D.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Mitochondrial imbalance as a new approach to the study of fibromyalgia</article-title>. <source>Open Access Rheumatol</source>. <volume>12</volume>, <fpage>175</fpage>&#x02013;<lpage>185</lpage>. <pub-id pub-id-type="doi">10.2147/OARRR.S257470</pub-id><pub-id pub-id-type="pmid">32922097</pub-id></citation></ref>
<ref id="B54">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Martins</surname> <given-names>D. F.</given-names></name> <name><surname>Viseux</surname> <given-names>F. J. F.</given-names></name> <name><surname>Salm</surname> <given-names>D. C.</given-names></name> <name><surname>Ribeiro</surname> <given-names>A. C. A.</given-names></name> <name><surname>da Silva</surname> <given-names>H. K. L.</given-names></name> <name><surname>Seim</surname> <given-names>L. A.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>The role of the vagus nerve in fibromyalgia syndrome</article-title>. <source>Neurosci. Biobehav. Rev</source>. <volume>131</volume>, <fpage>1136</fpage>&#x02013;<lpage>49</lpage>. <pub-id pub-id-type="doi">10.1016/j.neubiorev.2021.10.021</pub-id><pub-id pub-id-type="pmid">34710514</pub-id></citation></ref>
<ref id="B55">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mas</surname> <given-names>A. J.</given-names></name> <name><surname>Carmona</surname> <given-names>L.</given-names></name> <name><surname>Valverde</surname> <given-names>M.</given-names></name> <name><surname>Ribas</surname> <given-names>B.</given-names></name> <name><surname>Study Group</surname> <given-names>E.</given-names></name></person-group> (<year>2008</year>). <article-title>Prevalence and impact of fi bromyalgia on function and quality of life in individuals from the general population: results from a nationwide study in Spain</article-title>. <source>Clin. Exp. Rheumatol.</source> <volume>26</volume>, <fpage>519</fpage>&#x02013;<lpage>526</lpage>.<pub-id pub-id-type="pmid">18799079</pub-id></citation></ref>
<ref id="B56">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Meeus</surname> <given-names>M.</given-names></name> <name><surname>Nijs</surname> <given-names>J.</given-names></name> <name><surname>Hermans</surname> <given-names>L.</given-names></name> <name><surname>Goubert</surname> <given-names>D.</given-names></name> <name><surname>Calders</surname> <given-names>P.</given-names></name></person-group> (<year>2013</year>). <article-title>The role of mitochondrial dysfunctions due to oxidative and nitrosative stress in the chronic pain or chronic fatigue syndromes and fibromyalgia patients: peripheral and central mechanisms as therapeutic targets?</article-title> <source>Expert Opin. Ther. Targets</source> <volume>17</volume>, <fpage>1081</fpage>&#x02013;<lpage>1089</lpage>. <pub-id pub-id-type="doi">10.1517/14728222.2013.818657</pub-id><pub-id pub-id-type="pmid">23834645</pub-id></citation></ref>
<ref id="B57">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mello</surname> <given-names>T.</given-names></name> <name><surname>Materozzi</surname> <given-names>M.</given-names></name> <name><surname>Galli</surname> <given-names>A.</given-names></name></person-group> (<year>2016</year>). <article-title>PPARs and mitochondrial metabolism: from NAFLD to HCC</article-title>. <source>PPAR Res</source>. <volume>2016</volume>:<fpage>7403230</fpage>. <pub-id pub-id-type="doi">10.1155/2016/7403230</pub-id><pub-id pub-id-type="pmid">28115925</pub-id></citation></ref>
<ref id="B58">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Minerbi</surname> <given-names>A.</given-names></name> <name><surname>Gonzalez</surname> <given-names>E.</given-names></name> <name><surname>Brereton</surname> <given-names>N. J. B.</given-names></name> <name><surname>Anjarkouchian</surname> <given-names>A.</given-names></name> <name><surname>Dewar</surname> <given-names>K.</given-names></name> <name><surname>Fitzcharles</surname> <given-names>M. A.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Altered microbiome composition in individuals with fibromyalgia</article-title>. <source>Pain</source> <volume>160</volume>, <fpage>2589</fpage>&#x02013;<lpage>2602</lpage>. <pub-id pub-id-type="doi">10.1097/j.pain.0000000000001640</pub-id><pub-id pub-id-type="pmid">31219947</pub-id></citation></ref>
<ref id="B59">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mohapatra</surname> <given-names>G.</given-names></name> <name><surname>Dachet</surname> <given-names>F.</given-names></name> <name><surname>Coleman</surname> <given-names>L. J.</given-names></name> <name><surname>Gillis</surname> <given-names>B.</given-names></name> <name><surname>Behm</surname> <given-names>F. G.</given-names></name></person-group> (<year>2024</year>). <article-title>Identification of unique genomic signatures in patients with fibromyalgia and chronic pain</article-title>. <source>Sci. Rep</source>. <volume>14</volume>:<fpage>3949</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-024-53874-8</pub-id><pub-id pub-id-type="pmid">38366049</pub-id></citation></ref>
<ref id="B60">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moloney</surname> <given-names>R. D.</given-names></name> <name><surname>Johnson</surname> <given-names>A. C.</given-names></name> <name><surname>O&#x00027;Mahony</surname> <given-names>S. M.</given-names></name> <name><surname>Dinan</surname> <given-names>T. G.</given-names></name> <name><surname>Greenwood-Van Meerveld</surname> <given-names>B.</given-names></name> <name><surname>Cryan</surname> <given-names>J. F.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Stress and the microbiota-gut-brain axis in visceral pain: relevance to irritable bowel syndrome</article-title>. <source>CNS Neurosci. Ther.</source> <volume>22</volume>, <fpage>102</fpage>&#x02013;<lpage>117</lpage>. <pub-id pub-id-type="doi">10.1111/cns.12490</pub-id><pub-id pub-id-type="pmid">26662472</pub-id></citation></ref>
<ref id="B61">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mueller</surname> <given-names>C.</given-names></name> <name><surname>Fang</surname> <given-names>Y. H. D.</given-names></name> <name><surname>Jones</surname> <given-names>C.</given-names></name> <name><surname>McConathy</surname> <given-names>J. E.</given-names></name> <name><surname>Raman</surname> <given-names>F.</given-names></name> <name><surname>Lapi</surname> <given-names>S. E.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Evidence of neuroinflammation in fibromyalgia syndrome: a [<sup>18</sup>F]DPA-714 positron emission tomography study</article-title>. <source>Pain</source> <volume>164</volume>, <fpage>2285</fpage>&#x02013;<lpage>2295</lpage>. <pub-id pub-id-type="doi">10.1097/j.pain.0000000000002927</pub-id><pub-id pub-id-type="pmid">37326674</pub-id></citation></ref>
<ref id="B62">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Naing</surname> <given-names>L.</given-names></name> <name><surname>Winn</surname> <given-names>T.</given-names></name> <name><surname>Rusli</surname> <given-names>B. N.</given-names></name></person-group> (<year>2006</year>). <article-title>Practical issues in calculating the sample size for prevalence studies</article-title>. <source>Arch. Orofacial Sci.</source> <volume>1</volume>, <fpage>9</fpage>&#x02013;<lpage>14</lpage>.</citation>
</ref>
<ref id="B63">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nhu</surname> <given-names>N. T.</given-names></name> <name><surname>Chen</surname> <given-names>D. Y. T.</given-names></name> <name><surname>Yang</surname> <given-names>Y. C. S. H.</given-names></name> <name><surname>Lo</surname> <given-names>Y. C.</given-names></name> <name><surname>Kang</surname> <given-names>J. H.</given-names></name></person-group> (<year>2024</year>). <article-title>Associations between brain-gut axis and psychological distress in fibromyalgia: a microbiota and magnetic resonance imaging study</article-title>. <source>J. Pain</source>. <volume>25</volume>, <fpage>934</fpage>&#x02013;<lpage>945</lpage>. <pub-id pub-id-type="doi">10.1016/j.jpain.2023.10.015</pub-id><pub-id pub-id-type="pmid">37866648</pub-id></citation></ref>
<ref id="B64">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Okifuji</surname> <given-names>A.</given-names></name> <name><surname>Turk</surname> <given-names>D. C.</given-names></name></person-group> (<year>2006</year>). <article-title>Sex hormones and pain in regularly menstruating women with fibromyalgia syndrome</article-title>. <source>J. Pain</source> <volume>7</volume>, <fpage>851</fpage>&#x02013;<lpage>859</lpage>. <pub-id pub-id-type="doi">10.1016/j.jpain.2006.04.005</pub-id><pub-id pub-id-type="pmid">17074627</pub-id></citation></ref>
<ref id="B65">
<citation citation-type="web"><person-group person-group-type="author"><name><surname>Oksanen</surname> <given-names>J.</given-names></name></person-group> (<year>2025</year>). <source>Vegan: Ecological Diversity [R vignette]</source>. In vegan (Version 2.7-1) [R package]. CRAN. Available online at: <ext-link ext-link-type="uri" xlink:href="https://cran.r-project.org/web/packages/vegan/vignettes/diversity-vegan.pdf">https://cran.r-project.org/web/packages/vegan/vignettes/diversity-vegan.pdf</ext-link> (Retrieved September 2024).</citation>
</ref>
<ref id="B66">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>O&#x00027;Mahony</surname> <given-names>L. F.</given-names></name> <name><surname>Srivastava</surname> <given-names>A.</given-names></name> <name><surname>Mehta</surname> <given-names>P.</given-names></name> <name><surname>Ciurtin</surname> <given-names>C.</given-names></name></person-group> (<year>2021</year>). <article-title>Is fibromyalgia associated with a unique cytokine profile? A systematic review and meta-analysis</article-title>. <source>Rheumatology</source> <volume>60</volume>, <fpage>2602</fpage>&#x02013;<lpage>2614</lpage>. <pub-id pub-id-type="doi">10.1093/rheumatology/keab146</pub-id><pub-id pub-id-type="pmid">33576773</pub-id></citation></ref>
<ref id="B67">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Otaru</surname> <given-names>N.</given-names></name> <name><surname>Ye</surname> <given-names>K.</given-names></name> <name><surname>Mujezinovic</surname> <given-names>D.</given-names></name> <name><surname>Berchtold</surname> <given-names>L.</given-names></name> <name><surname>Constancias</surname> <given-names>F.</given-names></name> <name><surname>Cornejo</surname> <given-names>F. A.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>GABA production by human intestinal Bacteroides spp.: prevalence, regulation, and role in acid stress tolerance</article-title>. <source>Front. Microbiol</source>. <volume>12</volume>:<fpage>656895</fpage>. <pub-id pub-id-type="doi">10.3389/fmicb.2021.656895</pub-id><pub-id pub-id-type="pmid">33936013</pub-id></citation></ref>
<ref id="B68">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ovejero</surname> <given-names>T.</given-names></name> <name><surname>Sadones</surname> <given-names>O.</given-names></name> <name><surname>S&#x000E1;nchez-Fito</surname> <given-names>T.</given-names></name> <name><surname>Almenar-P&#x000E9;rez</surname> <given-names>E.</given-names></name> <name><surname>Espejo</surname> <given-names>J. A.</given-names></name> <name><surname>Mart&#x000ED;n-Mart&#x000ED;nez</surname> <given-names>E.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Activation of transposable elements in immune cells of fibromyalgia patients</article-title>. <source>Int. J. Mol. Sci</source>. <volume>21</volume>:<fpage>1366</fpage>. <pub-id pub-id-type="doi">10.3390/ijms21041366</pub-id><pub-id pub-id-type="pmid">32085571</pub-id></citation></ref>
<ref id="B69">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ozgocmen</surname> <given-names>S.</given-names></name> <name><surname>Ozyurt</surname> <given-names>H.</given-names></name> <name><surname>Sogut</surname> <given-names>S.</given-names></name> <name><surname>Akyol</surname> <given-names>O.</given-names></name> <name><surname>Ardicoglu</surname> <given-names>O.</given-names></name> <name><surname>Yildizhan</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2006</year>). <article-title>Antioxidant status, lipid peroxidation and nitric oxide in fibromyalgia: Etiologic and therapeutic concerns</article-title>. <source>Rheumatol. Int</source>. <volume>26</volume>, <fpage>598</fpage>&#x02013;<lpage>603</lpage>. <pub-id pub-id-type="doi">10.1007/s00296-005-0079-y</pub-id><pub-id pub-id-type="pmid">16283318</pub-id></citation></ref>
<ref id="B70">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pai</surname> <given-names>A. H. Y.</given-names></name> <name><surname>Wang</surname> <given-names>Y. W.</given-names></name> <name><surname>Lu</surname> <given-names>P. C.</given-names></name> <name><surname>Wu</surname> <given-names>H. M.</given-names></name> <name><surname>Xu</surname> <given-names>J. L.</given-names></name> <name><surname>Huang</surname> <given-names>H. Y.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Gut microbiome-estrobolome profile in reproductive-age women with endometriosis</article-title>. <source>Int. J. Mol. Sci.</source> <volume>24</volume>:<fpage>16301</fpage>. <pub-id pub-id-type="doi">10.3390/ijms242216301</pub-id><pub-id pub-id-type="pmid">38003489</pub-id></citation></ref>
<ref id="B71">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pollet</surname> <given-names>R. M.</given-names></name> <name><surname>D&#x00027;Agostino</surname> <given-names>E. H.</given-names></name> <name><surname>Walton</surname> <given-names>W. G.</given-names></name> <name><surname>Xu</surname> <given-names>Y.</given-names></name> <name><surname>Little</surname> <given-names>M. S.</given-names></name> <name><surname>Biernat</surname> <given-names>K. A.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>An atlas of &#x003B2;-glucuronidases in the human intestinal microbiome</article-title>. <source>Structure</source> <volume>25</volume>, <fpage>967</fpage>&#x02013;<lpage>977</lpage>.e5. <pub-id pub-id-type="doi">10.1016/j.str.2017.05.003</pub-id><pub-id pub-id-type="pmid">28578872</pub-id></citation></ref>
<ref id="B72">
<citation citation-type="web"><person-group person-group-type="author"><collab>Pronacera. Clinicaltrials</collab></person-group> (<year>2024</year>). <source>Tool for Fibromyalgia Diagnosis and Effect of Extra Virgin Olive Oil (FIBROKIT).</source> Available online at: <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/study/NCT05921409&#x00023;contacts-and-locations">https://clinicaltrials.gov/study/NCT05921409&#x00023;contacts-and-locations</ext-link> (Accessed July 23, 2024).</citation>
</ref>
<ref id="B73">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ram&#x000ED;rez-Tejero</surname> <given-names>J. A.</given-names></name> <name><surname>Dur&#x000E1;n-Gonz&#x000E1;lez</surname> <given-names>E.</given-names></name> <name><surname>Mart&#x000ED;nez-Lara</surname> <given-names>A.</given-names></name> <name><surname>Lucena del Amo</surname> <given-names>L.</given-names></name> <name><surname>Sep&#x000FA;lveda</surname> <given-names>I.</given-names></name> <name><surname>Huancas-D&#x000ED;az</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Microbiota and mitochondrial sex-dependent imbalance in fibromyalgia: a pilot descriptive study</article-title>. <source>Neurol. Int</source>. <volume>15</volume>, <fpage>868</fpage>&#x02013;<lpage>880</lpage>. <pub-id pub-id-type="doi">10.3390/neurolint15030055</pub-id><pub-id pub-id-type="pmid">37489361</pub-id></citation></ref>
<ref id="B74">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ram&#x000ED;rez-Tejero</surname> <given-names>J. A.</given-names></name> <name><surname>Mart&#x000ED;nez-Lara</surname> <given-names>E.</given-names></name> <name><surname>Rus</surname> <given-names>A.</given-names></name> <name><surname>Camacho</surname> <given-names>M. V.</given-names></name> <name><surname>Del Moral</surname> <given-names>M. L.</given-names></name> <name><surname>Siles</surname> <given-names>E.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Insight into the biological pathways underlying fibromyalgia by a proteomic approach</article-title>. <source>J. Proteomics</source> <volume>186</volume>, <fpage>47</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1016/j.jprot.2018.07.009</pub-id><pub-id pub-id-type="pmid">30030163</pub-id></citation></ref>
<ref id="B75">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rawish</surname> <given-names>E.</given-names></name> <name><surname>Sauter</surname> <given-names>M.</given-names></name> <name><surname>Sauter</surname> <given-names>R.</given-names></name> <name><surname>Nording</surname> <given-names>H.</given-names></name> <name><surname>Langer</surname> <given-names>H. F.</given-names></name></person-group> (<year>2021</year>). <article-title>Complement, inflammation and thrombosis</article-title>. <source>Br. J. Pharmacol</source>. <volume>178</volume>, <fpage>2892</fpage>&#x02013;<lpage>904</lpage>. <pub-id pub-id-type="doi">10.1111/bph.15476</pub-id><pub-id pub-id-type="pmid">33817781</pub-id></citation></ref>
<ref id="B76">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Reyes del Paso</surname> <given-names>G. A.</given-names></name> <name><surname>de la Coba</surname> <given-names>P.</given-names></name></person-group> (<year>2020</year>). <article-title>Reduced activity, reactivity and functionality of the sympathetic nervous system in fibromyalgia: an electrodermal study</article-title>. <source>PLoS ONE</source> <volume>15</volume>:<fpage>e0244830</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0244830</pub-id><pub-id pub-id-type="pmid">33370398</pub-id></citation></ref>
<ref id="B77">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rus</surname> <given-names>A.</given-names></name> <name><surname>Molina</surname> <given-names>F.</given-names></name> <name><surname>Gass&#x000F3;</surname> <given-names>M.</given-names></name> <name><surname>Camacho</surname> <given-names>M. V.</given-names></name> <name><surname>Peinado</surname> <given-names>M. &#x000C1;.</given-names></name> <name><surname>del Moral</surname> <given-names>M. L.</given-names></name></person-group> (<year>2016</year>). <article-title>Nitric oxide, inflammation, lipid profile, and cortisol in normal- and overweight women with fibromyalgia</article-title>. <source>Biol. Res. Nurs</source>. <volume>18</volume>, <fpage>138</fpage>&#x02013;<lpage>146</lpage>. <pub-id pub-id-type="doi">10.1177/1099800415591035</pub-id><pub-id pub-id-type="pmid">26134428</pub-id></citation></ref>
<ref id="B78">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rus</surname> <given-names>A.</given-names></name> <name><surname>Robles-Fernandez</surname> <given-names>I.</given-names></name> <name><surname>Martinez-Gonzalez</surname> <given-names>L. J.</given-names></name> <name><surname>Carmona</surname> <given-names>R.</given-names></name> <name><surname>Alvarez-Cubero</surname> <given-names>M. J.</given-names></name></person-group> (<year>2021</year>). <article-title>Influence of oxidative stress-related genes on susceptibility to fibromyalgia</article-title>. <source>Nurs. Res</source>. <volume>70</volume>, <fpage>44</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1097/NNR.0000000000000480</pub-id><pub-id pub-id-type="pmid">32991532</pub-id></citation></ref>
<ref id="B79">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rush</surname> <given-names>R. A.</given-names></name> <name><surname>Geffen</surname> <given-names>L. B.</given-names></name></person-group> (<year>1980</year>). <article-title>Dopamine beta-hydroxylase in health and disease</article-title>. <source>Crit. Rev. Clin. Lab. Sci</source>. <volume>12</volume>, <fpage>241</fpage>&#x02013;<lpage>277</lpage>. <pub-id pub-id-type="doi">10.3109/10408368009108731</pub-id><pub-id pub-id-type="pmid">6998654</pub-id></citation></ref>
<ref id="B80">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rutsch</surname> <given-names>A.</given-names></name> <name><surname>Kantsj&#x000F6;</surname> <given-names>J. B.</given-names></name> <name><surname>Ronchi</surname> <given-names>F.</given-names></name></person-group> (<year>2020</year>). <article-title>The gut-brain axis: how microbiota and host inflammasome influence brain physiology and pathology</article-title>. <source>Front. Immunol</source>. <volume>11</volume>:<fpage>604179</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2020.604179</pub-id><pub-id pub-id-type="pmid">33362788</pub-id></citation></ref>
<ref id="B81">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salliss</surname> <given-names>M. E.</given-names></name> <name><surname>Farland</surname> <given-names>L. V.</given-names></name> <name><surname>Mahnert</surname> <given-names>N. D.</given-names></name> <name><surname>Herbst-Kralovetz</surname> <given-names>M. M.</given-names></name></person-group> (<year>2022</year>). <article-title>The role of gut and genital microbiota and the estrobolome in endometriosis, infertility and chronic pelvic pain</article-title>. <source>Hum. Reprod. Update</source> <volume>28</volume>, <fpage>92</fpage>&#x02013;<lpage>131</lpage>. <pub-id pub-id-type="doi">10.1093/humupd/dmab035</pub-id><pub-id pub-id-type="pmid">34718567</pub-id></citation></ref>
<ref id="B82">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>S&#x000E1;nchez-Dom&#x000ED;nguez</surname> <given-names>B.</given-names></name> <name><surname>Bull&#x000F3;n</surname> <given-names>P.</given-names></name> <name><surname>Rom&#x000E1;n-Malo</surname> <given-names>L.</given-names></name> <name><surname>Mar&#x000ED;n-Aguilar</surname> <given-names>F.</given-names></name> <name><surname>Alcocer-G&#x000F3;mez</surname> <given-names>E.</given-names></name> <name><surname>Carri&#x000F3;n</surname> <given-names>A. M.</given-names></name> <etal/></person-group>. (<year>2015</year>). <article-title>Oxidative stress, mitochondrial dysfunction and, inflammation common events in skin of patients with Fibromyalgia</article-title>. <source>Mitochondrion</source> <volume>21</volume>, <fpage>69</fpage>&#x02013;<lpage>75</lpage>. <pub-id pub-id-type="doi">10.1016/j.mito.2015.01.010</pub-id><pub-id pub-id-type="pmid">25662535</pub-id></citation></ref>
<ref id="B83">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schertzinger</surname> <given-names>M.</given-names></name> <name><surname>Wesson-Sides</surname> <given-names>K.</given-names></name> <name><surname>Parkitny</surname> <given-names>L.</given-names></name> <name><surname>Younger</surname> <given-names>J.</given-names></name></person-group> (<year>2018</year>). <article-title>Daily fluctuations of progesterone and testosterone are associated with fibromyalgia pain severity</article-title>. <source>J. Pain</source> <volume>19</volume>, <fpage>410</fpage>&#x02013;<lpage>417</lpage>. <pub-id pub-id-type="doi">10.1016/j.jpain.2017.11.013</pub-id><pub-id pub-id-type="pmid">29248511</pub-id></citation></ref>
<ref id="B84">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Serra</surname> <given-names>J.</given-names></name> <name><surname>Collado</surname> <given-names>A.</given-names></name> <name><surname>Sol&#x000E0;</surname> <given-names>R.</given-names></name> <name><surname>Antonelli</surname> <given-names>F.</given-names></name> <name><surname>Torres</surname> <given-names>X.</given-names></name> <name><surname>Salgueiro</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2014</year>). <article-title>Hyperexcitable C nociceptors in fibromyalgia</article-title>. <source>Ann. Neurol</source>. <volume>75</volume>, <fpage>196</fpage>&#x02013;<lpage>208</lpage>. <pub-id pub-id-type="doi">10.1002/ana.24065</pub-id><pub-id pub-id-type="pmid">24243538</pub-id></citation></ref>
<ref id="B85">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sherrill</surname> <given-names>J. D.</given-names></name> <name><surname>Kc</surname> <given-names>K.</given-names></name> <name><surname>Wu</surname> <given-names>D.</given-names></name> <name><surname>Djukic</surname> <given-names>Z.</given-names></name> <name><surname>Caldwell</surname> <given-names>J. M.</given-names></name> <name><surname>Stucke</surname> <given-names>E. M.</given-names></name> <etal/></person-group>. (<year>2014</year>). <article-title>Desmoglein-1 regulates esophageal epithelial barrier function and immune responses in eosinophilic esophagitis</article-title>. <source>Mucosal Immunol</source>. <volume>7</volume>, <fpage>718</fpage>&#x02013;<lpage>729</lpage>. <pub-id pub-id-type="doi">10.1038/mi.2013.90</pub-id><pub-id pub-id-type="pmid">24220297</pub-id></citation></ref>
<ref id="B86">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sibilia</surname> <given-names>J.</given-names></name></person-group> (<year>2003</year>). <article-title>Antiphospholipid syndrome: why and how should we make the diagnosis?</article-title> <source>Joint Bone Spin</source> <volume>70</volume>, <fpage>97</fpage>&#x02013;<lpage>102</lpage>. <pub-id pub-id-type="doi">10.1016/s1297-319x(03)00014-9</pub-id><pub-id pub-id-type="pmid">12713852</pub-id></citation></ref>
<ref id="B87">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Siddiqui</surname> <given-names>R.</given-names></name> <name><surname>Makhlouf</surname> <given-names>Z.</given-names></name> <name><surname>Alharbi</surname> <given-names>A. M.</given-names></name> <name><surname>Alfahemi</surname> <given-names>H.</given-names></name> <name><surname>Khan</surname> <given-names>N. A.</given-names></name></person-group> (<year>2022</year>). <article-title>The gut microbiome and female health</article-title>. <source>Biology</source> <volume>11</volume>:<fpage>1683</fpage>. <pub-id pub-id-type="doi">10.3390/biology11111683</pub-id><pub-id pub-id-type="pmid">36421397</pub-id></citation></ref>
<ref id="B88">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Silman</surname> <given-names>I.</given-names></name></person-group> (<year>2021</year>). <article-title>The multiple biological roles of the cholinesterases</article-title>. <source>Prog. Biophys. Mol. Biol</source>. <volume>162</volume>, <fpage>41</fpage>&#x02013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1016/j.pbiomolbio.2020.12.001</pub-id><pub-id pub-id-type="pmid">33307019</pub-id></citation></ref>
<ref id="B89">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Slim</surname> <given-names>M.</given-names></name> <name><surname>Calandre</surname> <given-names>E. P.</given-names></name> <name><surname>Rico-Villademoros</surname> <given-names>F.</given-names></name></person-group> (<year>2015</year>). <article-title>An insight into the gastrointestinal component of fibromyalgia: clinical manifestations and potential underlying mechanisms</article-title>. <source>Rheumatol. Int.</source> <volume>35</volume>, <fpage>433</fpage>&#x02013;<lpage>444</lpage>. <pub-id pub-id-type="doi">10.1007/s00296-014-3109-9</pub-id><pub-id pub-id-type="pmid">25119830</pub-id></citation></ref>
<ref id="B90">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sobstyl</surname> <given-names>M.</given-names></name> <name><surname>Brecht</surname> <given-names>P.</given-names></name> <name><surname>Sobstyl</surname> <given-names>A.</given-names></name> <name><surname>Mertowska</surname> <given-names>P.</given-names></name> <name><surname>Grywalska</surname> <given-names>E.</given-names></name></person-group> (<year>2022</year>). <article-title>The role of microbiota in the immunopathogenesis of endometrial cancer</article-title>. <source>Int. J. Mol. Sci</source>. <volume>23</volume>:<fpage>5756</fpage>. <pub-id pub-id-type="doi">10.3390/ijms23105756</pub-id><pub-id pub-id-type="pmid">35628566</pub-id></citation></ref>
<ref id="B91">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tarze</surname> <given-names>A.</given-names></name> <name><surname>Deniaud</surname> <given-names>A.</given-names></name> <name><surname>Le Bras</surname> <given-names>M.</given-names></name> <name><surname>Maillier</surname> <given-names>E.</given-names></name> <name><surname>Molle</surname> <given-names>D.</given-names></name> <name><surname>Larochette</surname> <given-names>N.</given-names></name> <etal/></person-group>. (<year>2007</year>). <article-title>GAPDH, a novel regulator of the pro-apoptotic mitochondrial membrane permeabilization</article-title>. <source>Oncogene</source> <volume>26</volume>, <fpage>2606</fpage>&#x02013;<lpage>2620</lpage>. <pub-id pub-id-type="doi">10.1038/sj.onc.1210074</pub-id><pub-id pub-id-type="pmid">17072346</pub-id></citation></ref>
<ref id="B92">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tomasello</surname> <given-names>G.</given-names></name> <name><surname>Mazzola</surname> <given-names>M.</given-names></name> <name><surname>Bosco</surname> <given-names>V.</given-names></name> <name><surname>Tomasello</surname> <given-names>G.</given-names></name> <name><surname>Damiani</surname> <given-names>P.</given-names></name> <name><surname>Sinagra</surname> <given-names>E.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Intestinal dysbiosis and hormonal neuroendocrine secretion in the fibromyalgic patient</article-title>. <source>Biomed. Pap</source>. <volume>164</volume>, <fpage>258</fpage>&#x02013;<lpage>262</lpage>. <pub-id pub-id-type="doi">10.5507/bp.2018.051</pub-id><pub-id pub-id-type="pmid">30209437</pub-id></citation></ref>
<ref id="B93">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Valera-Calero</surname> <given-names>J. A.</given-names></name> <name><surname>Arendt-Nielsen</surname> <given-names>L.</given-names></name> <name><surname>Cigar&#x000E1;n-M&#x000E9;ndez</surname> <given-names>M.</given-names></name> <name><surname>Fern&#x000E1;ndez-de-las-Pe&#x000F1;as</surname> <given-names>C.</given-names></name> <name><surname>Varol</surname> <given-names>U.</given-names></name></person-group> (<year>2022</year>). <article-title>Network analysis for better understanding the complex psycho-biological mechanisms behind fibromyalgia syndrome</article-title>. <source>Diagnostics</source> <volume>12</volume>:<fpage>1845</fpage>. <pub-id pub-id-type="doi">10.3390/diagnostics12081845</pub-id><pub-id pub-id-type="pmid">36010196</pub-id></citation></ref>
<ref id="B94">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vasquez</surname> <given-names>A.</given-names></name></person-group> (<year>2016</year>). <article-title>Neuroinflammation in fibromyalgia and CRPS is multifactorial</article-title>. <source>Nat. Rev. Rheumatol</source>. <volume>12</volume>:<fpage>242</fpage>. <pub-id pub-id-type="doi">10.1038/nrrheum.2016.25</pub-id><pub-id pub-id-type="pmid">26935282</pub-id></citation></ref>
<ref id="B95">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vecchio</surname> <given-names>E.</given-names></name> <name><surname>Lombardi</surname> <given-names>R.</given-names></name> <name><surname>Paolini</surname> <given-names>M.</given-names></name> <name><surname>Libro</surname> <given-names>G.</given-names></name> <name><surname>Delussi</surname> <given-names>M.</given-names></name> <name><surname>Ricci</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Peripheral and central nervous system correlates in fibromyalgia</article-title>. <source>Eur. J. Pain</source> <volume>24</volume>, <fpage>1537</fpage>&#x02013;<lpage>1547</lpage>. <pub-id pub-id-type="doi">10.1002/ejp.1607</pub-id><pub-id pub-id-type="pmid">32478943</pub-id></citation></ref>
<ref id="B96">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vega-Ram&#x000ED;rez</surname> <given-names>M. T.</given-names></name> <name><surname>Becerril-Villanueva</surname> <given-names>E.</given-names></name> <name><surname>Maldonado-Garc&#x000ED;a</surname> <given-names>J. L.</given-names></name> <name><surname>Pav&#x000F3;n</surname> <given-names>L.</given-names></name> <name><surname>P&#x000E9;rez-S&#x000E1;nchez</surname> <given-names>G.</given-names></name></person-group> (<year>2024</year>). <article-title>S100 proteins: a new frontier in fibromyalgia research</article-title>. <source>Mol. Brain</source>. <volume>17</volume>:<fpage>29</fpage>. <pub-id pub-id-type="doi">10.1186/s13041-024-01102-9</pub-id><pub-id pub-id-type="pmid">38797848</pub-id></citation></ref>
<ref id="B97">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Verma</surname> <given-names>V.</given-names></name> <name><surname>Drury</surname> <given-names>G. L.</given-names></name> <name><surname>Parisien</surname> <given-names>M.</given-names></name> <name><surname>&#x000D6;zdag Acarli</surname> <given-names>A. N.</given-names></name> <name><surname>Al-Aubodah</surname> <given-names>T. A.</given-names></name> <name><surname>Nijnik</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Unbiased immune profiling reveals a natural killer cell-peripheral nerve axis in fibromyalgia</article-title>. <source>Pain</source> <volume>163</volume>, <fpage>E821</fpage>&#x02013;<lpage>E836</lpage>. <pub-id pub-id-type="doi">10.1097/j.pain.0000000000002498</pub-id><pub-id pub-id-type="pmid">34913882</pub-id></citation></ref>
<ref id="B98">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vilagut</surname> <given-names>G.</given-names></name> <name><surname>Ferrer</surname> <given-names>M.</given-names></name> <name><surname>Rajmil</surname> <given-names>L.</given-names></name> <name><surname>Rebollo</surname> <given-names>P.</given-names></name> <name><surname>Permanyer-Miralda</surname> <given-names>G.</given-names></name> <name><surname>Quintana</surname> <given-names>J. M.</given-names></name> <etal/></person-group>. (<year>2005</year>). <article-title>El Cuestionario de Salud SF-36 espa&#x000F1;ol: una d&#x000E9;cada de experiencia y nuevos desarrollos por los investigadores de la Red-IRYSS<sup>&#x0002A;</sup></article-title>. <source>Gac Sanit.</source> <volume>19</volume>, <fpage>135</fpage>&#x02013;<lpage>150</lpage>. <pub-id pub-id-type="doi">10.1157/13074369</pub-id><pub-id pub-id-type="pmid">15860162</pub-id></citation></ref>
<ref id="B99">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>W&#x000E5;hl&#x000E9;n</surname> <given-names>K.</given-names></name> <name><surname>Ernberg</surname> <given-names>M.</given-names></name> <name><surname>Kosek</surname> <given-names>E.</given-names></name> <name><surname>Mannerkorpi</surname> <given-names>K.</given-names></name> <name><surname>Gerdle</surname> <given-names>B.</given-names></name> <name><surname>Ghafouri</surname> <given-names>B.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Significant correlation between plasma proteome profile and pain intensity, sensitivity, and psychological distress in women with fibromyalgia</article-title>. <source>Sci. Rep</source>. <volume>10</volume>:<fpage>12508</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-020-69422-z</pub-id><pub-id pub-id-type="pmid">32719459</pub-id></citation></ref>
<ref id="B100">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Wei</surname> <given-names>J.</given-names></name> <name><surname>Zhang</surname> <given-names>W.</given-names></name> <name><surname>Doherty</surname> <given-names>M.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.</given-names></name> <name><surname>Xie</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Gut dysbiosis in rheumatic diseases: a systematic review and meta-analysis of 92 observational studies</article-title>. <source>EBioMedicine</source> <volume>80</volume>:<fpage>104055</fpage>. <pub-id pub-id-type="doi">10.1016/j.ebiom.2022.104055</pub-id><pub-id pub-id-type="pmid">35594658</pub-id></citation></ref>
<ref id="B101">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Warren</surname> <given-names>T.</given-names></name> <name><surname>McAllister</surname> <given-names>R.</given-names></name> <name><surname>Morgan</surname> <given-names>A.</given-names></name> <name><surname>Rai</surname> <given-names>T. S.</given-names></name> <name><surname>McGilligan</surname> <given-names>V.</given-names></name> <name><surname>Ennis</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>The interdependency and co-regulation of the vitamin D and cholesterol metabolism</article-title>. <source>Cells</source> <volume>10</volume>:<fpage>2007</fpage>. <pub-id pub-id-type="doi">10.3390/cells10082007</pub-id><pub-id pub-id-type="pmid">34440777</pub-id></citation></ref>
<ref id="B102">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolfe</surname> <given-names>F.</given-names></name> <name><surname>Clauw</surname> <given-names>D. J.</given-names></name> <name><surname>Fitzcharles</surname> <given-names>M. A.</given-names></name> <name><surname>Goldenberg</surname> <given-names>D. L.</given-names></name> <name><surname>H&#x000E4;user</surname> <given-names>W.</given-names></name> <name><surname>Katz</surname> <given-names>R. L.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria</article-title>. <source>Semin. Arthritis Rheum</source>. <volume>46</volume>, <fpage>319</fpage>&#x02013;<lpage>329</lpage>. <pub-id pub-id-type="doi">10.1016/j.semarthrit.2016.08.012</pub-id><pub-id pub-id-type="pmid">27916278</pub-id></citation></ref>
<ref id="B103">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolfe</surname> <given-names>F.</given-names></name> <name><surname>Clauw</surname> <given-names>D. J.</given-names></name> <name><surname>Fitzcharles</surname> <given-names>M. A.</given-names></name> <name><surname>Goldenberg</surname> <given-names>D. L.</given-names></name> <name><surname>H&#x000E4;user</surname> <given-names>W.</given-names></name> <name><surname>Katz</surname> <given-names>R. S.</given-names></name> <etal/></person-group>. (<year>2011</year>). <article-title>Fibromyalgia criteria and severity scales for clinical and epidemiological studies: a modification of the ACR preliminary diagnostic criteria for fibromyalgia</article-title>. <source>J. Rheumatol</source>. <volume>38</volume>, <fpage>1113</fpage>&#x02013;<lpage>1122</lpage>. <pub-id pub-id-type="doi">10.3899/jrheum.100594</pub-id><pub-id pub-id-type="pmid">21285161</pub-id></citation></ref>
<ref id="B104">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolfe</surname> <given-names>F.</given-names></name> <name><surname>Smythe</surname> <given-names>H. A.</given-names></name> <name><surname>Yunus</surname> <given-names>M. B.</given-names></name> <name><surname>Bennett</surname> <given-names>R. M.</given-names></name> <name><surname>Bombardier</surname> <given-names>C.</given-names></name> <name><surname>Goldenberg</surname> <given-names>D. L.</given-names></name> <etal/></person-group>. (<year>1990</year>). <article-title>The American collegue of rheumathology 1990 criteria for the classification of fribomyalgia. Report of the Multicenter Criteria Committee</article-title>. <source>Arthritis Rheum.</source> <volume>33</volume>, <fpage>160</fpage>&#x02013;<lpage>172</lpage>. <pub-id pub-id-type="doi">10.1002/art.1780330203</pub-id><pub-id pub-id-type="pmid">2306288</pub-id></citation></ref>
<ref id="B105">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xiu</surname> <given-names>Y.</given-names></name> <name><surname>Field</surname> <given-names>M. S.</given-names></name></person-group> (<year>2020</year>). <article-title>The roles of mitochondrial folate metabolism in supporting mitochondrial DNA synthesis, oxidative phosphorylation, and cellular function</article-title>. <source>Curr. Dev. Nutr.</source> <volume>4</volume>:<fpage>nzaa153</fpage>. <pub-id pub-id-type="doi">10.1093/cdn/nzaa153</pub-id><pub-id pub-id-type="pmid">33134792</pub-id></citation></ref>
</ref-list>
</back>
</article> 