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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1662-453X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnins.2025.1655456</article-id><article-version article-version-type="Corrected Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading"><subject>Brief Research Report</subject></subj-group>
</article-categories>
<title-group>
<article-title>Gut microbiota signatures in tuberous sclerosis complex and epilepsy: a pilot study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ottaviano</surname>
<given-names>Emerenziana</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Marsiglia</surname>
<given-names>Matteo Domenico</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Ceccarani</surname>
<given-names>Camilla</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Ancona</surname>
<given-names>Silvia</given-names>
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<contrib contrib-type="author">
<name>
<surname>Triva</surname>
<given-names>Francesca</given-names>
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<surname>La Briola</surname>
<given-names>Francesca</given-names>
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<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<surname>Bergamoni</surname>
<given-names>Stefania</given-names>
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<surname>Teutonico</surname>
<given-names>Federica</given-names>
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<contrib contrib-type="author">
<name>
<surname>Pompili</surname>
<given-names>Alice</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Vigan&#x00F2;</surname>
<given-names>Ilaria</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Ricci</surname>
<given-names>Emilia</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Vignoli</surname>
<given-names>Aglaia</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Borghi</surname>
<given-names>Elisa</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Health Sciences, Universit&#x00E0; Degli Studi di Milano</institution>, <city>Milan</city>, <country country="it">Italy</country></aff>
<aff id="aff2"><label>2</label><institution>Institute of Biomedical Technologies, National Research Council</institution>, <city>Milan</city>, <country country="it">Italy</country></aff>
<aff id="aff3"><label>3</label><institution>Child Neurology and Epilepsy Centre, ASST Santi Paolo e Carlo</institution>, <city>Milan</city>, <country country="it">Italy</country></aff>
<aff id="aff4"><label>4</label><institution>Childhood and Adolescence Neurology and Psychiatry Unit, ASST GOM Niguarda</institution>, <city>Milan</city>, <country country="it">Italy</country></aff>
<aff id="aff5"><label>5</label><institution>Universit&#x00E0; Degli Studi di Milano</institution>, <city>Milan</city>, <country country="it">Italy</country></aff>
<author-notes><corresp id="c001"><label>&#x002A;</label>Correspondence: Aglaia Vignoli, <email xlink:href="mailto:aglaia.vignoli@unimi.it">aglaia.vignoli@unimi.it</email></corresp><fn fn-type="other" id="fn0003"><label>&#x2020;</label><p>ORCID: Emerenziana Ottaviano, <uri xlink:href="http://orcid.org/0000-0003-3839-2698">orcid.org/0000-0003-3839-2698</uri>; Matteo Domenico Marsiglia, <uri xlink:href="https://orcid.org/0009-0009-3421-9223">orcid.org/0009-0009-3421-9223</uri>; Camilla Ceccarani, <uri xlink:href="http://orcid.org/0000-0003-3824-7239">orcid.org/0000-0003-3824-7239</uri>; Silvia Ancona, <uri xlink:href="https://orcid.org/0000-0003-1999-129X">orcid.org/0000-0003-1999-129X</uri>; Francesca Triva, <uri xlink:href="https://orcid.org/0009-0005-5785-6795">orcid.org/0009-0005-5785-6795</uri>; Francesca La Briola, <uri xlink:href="https://orcid.org/0000-0003-3821-9756">https://orcid.org/0000-0003-3821-9756</uri>; Stefania Bergamoni, <uri xlink:href="https://orcid.org/0009-0008-4071-9833">orcid.org/0009-0008-4071-9833</uri>; Federica Teutonico, <uri xlink:href="https://orcid.org/0009-0006-8198-425X">orcid.org/0009-0006-8198-425X</uri>; Emilia Ricci, <uri xlink:href="https://orcid.org/0000-0002-3405-6454">orcid.org/0000-0002-3405-6454</uri>; Aglaia Vignoli, <uri xlink:href="https://orcid.org/0000-0003-4638-4663">orcid.org/0000-0003-4638-4663</uri>; Elisa Borghi, <uri xlink:href="https://orcid.org/0000-0002-1893-0455">orcid.org/0000-0002-1893-0455</uri></p></fn></author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-18">
<day>18</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="corrected" iso-8601-date="2026-01-16">
<day>16</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>19</volume>
<elocation-id>1655456</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Ottaviano, Marsiglia, Ceccarani, Ancona, Triva, La Briola, Bergamoni, Teutonico, Pompili, Vigan&#x00F2;, Ricci, Vignoli and Borghi.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ottaviano, Marsiglia, Ceccarani, Ancona, Triva, La Briola, Bergamoni, Teutonico, Pompili, Vigan&#x00F2;, Ricci, Vignoli and Borghi</copyright-holder>
<license><ali:license_ref start_date="2025-11-18">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Objective</title>
<p>Tuberous sclerosis complex (TSC) presents with a broad clinical spectrum. While some individuals exhibit mild symptoms, most experience seizures and neuropsychiatric comorbidities. Emerging evidence suggests that both genetic and environmental factors, including gut microbiota, may influence epilepsy susceptibility. The microbiota&#x2013;gut&#x2013;brain axis (MGBA) is a key communication pathway through which intestinal microbes impact the central nervous system. Although the role of the MGBA in the pathogenesis of neurological diseases, particularly seizures, has been explored in both animal models and humans, data specific to TSC are lacking.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>In this exploratory study, we assessed whether individuals with TSC (<italic>n</italic>&#x202F;=&#x202F;15) display a distinct gut microbial signature using V3&#x2013;V4 16S rRNA sequencing. Their profiles were compared with two control groups: 18 children with epilepsy (EPI) and 12 age- and sex-matched healthy controls (HC). Stool short-chain fatty acid (SCFA) levels and dietary intake were also evaluated.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>No significant differences were observed among the three groups in dietary intake, SCFA and branched-chain fatty acid (BCFA) levels, or alpha-diversity. Beta-diversity analysis showed a non-significant trend toward clustering of TSC and EPI samples, indicating a shared microbial profile distinct from HC. Taxonomic analysis revealed a reduction in Firmicutes&#x2014;particularly the <italic>Ruminococcaceae</italic> family and the genus <italic>Gemmiger</italic>&#x2014;in both TSC and EPI groups, consistent with epilepsy-associated dysbiosis. Notably, the TSC group showed a specific enrichment in <italic>Akkermansiaceae</italic>, a feature also reported in other neurodevelopmental disorders such as CDKL5 deficiency disorder and cerebral palsy.</p>
</sec>
<sec id="sec4">
<title>Significance</title>
<p>These preliminary findings suggest that gut microbiota alterations may contribute to neuroinflammatory processes linked to epileptogenesis and comorbidities in TSC. Further studies are needed to validate these results and explore microbiota-based therapeutic strategies aimed at improving outcomes and quality of life for individuals with TSC and their caregivers.</p>
</sec>
</abstract>
<kwd-group>
<kwd>tuberous sclerosis complex</kwd>
<kwd>gut microbiota brain axis</kwd>
<kwd>epilepsy</kwd>
<kwd>inflammation</kwd>
<kwd>children</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declare that no financial support was received for the research and/or publication of this article.</funding-statement></funding-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="58"/>
<page-count count="10"/>
<word-count count="7195"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gut-Brain Axis</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec5">
<title>Highlights</title>
<p>
<list list-type="bullet">
<list-item>
<p>This is the first study to investigate the possible role of gut microbial communities in Tuberous Sclerosis Complex (TSC), with a specific focus on epilepsy</p>
</list-item>
<list-item>
<p>We compared the gut microbiota profile of patients with TSC with those of subjects with epilepsy and healthy controls</p>
</list-item>
<list-item>
<p>Both TSC and epilepsy groups showed a depletion in <italic>Gemmiger</italic> and <italic>Faecalibacterium</italic>, taxa associated with anti-inflammatory functions and butyrate production.</p>
</list-item>
<list-item>
<p>While many microbial alterations were shared, the TSC group showed increased <italic>Akkermansiaceae</italic>, a genus implicated in other neurological disorders.</p>
</list-item>
<list-item>
<p>These preliminary results highlight the need for larger studies to confirm findings and clarify the microbiota-gut-brain axis role in TSC.</p>
</list-item>
</list>
</p>
</sec>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>Tuberous sclerosis (TSC) is a rare genetic, autosomal-dominant, multisystem disease (<xref ref-type="bibr" rid="ref7">Crino et al., 2006</xref>), with an incidence of approximately 1 case per 6,000&#x2013;10,000 live births (<xref ref-type="bibr" rid="ref21">Henske et al., 2016</xref>).</p>
<p>TSC is caused by mutations in the <italic>TSC1</italic> or <italic>TSC2</italic> genes encoding for hamartin and tuberin, respectively. These proteins form a complex that regulates the mammalian/mechanistic target of rapamycin (mTOR), and the hyperactivation of mTOR, caused by loss of <italic>TSC1</italic> or <italic>TSC2,</italic> is involved in the formation of benign tumors. Therefore, patients with TSC (pwTSC; <xref ref-type="bibr" rid="ref32">Laplante and Sabatini, 2012</xref>) may develop benign tumors in several organs, including kidneys (<xref ref-type="bibr" rid="ref39">Neumann et al., 1998</xref>), lungs (<xref ref-type="bibr" rid="ref48">Vicente et al., 2004</xref>), heart (<xref ref-type="bibr" rid="ref28">J&#x00F3;&#x017A;wiak et al., 2005</xref>), and central nervous system (CNS; <xref ref-type="bibr" rid="ref16">Gomez et al., 1999</xref>). Lesions in the CNS, such as cortical tubers and subependymal astrocytomas, may cause intellectual disability (ID) and behavioral disorders. Indeed, most individuals exhibit tuberous-sclerosis-associated neuropsychiatric disorders (TANDs) during their lives, and children have an increased risk of developing Autism Spectrum Disorder (ASD; <xref ref-type="bibr" rid="ref45">Sparagana and Roach, 2000</xref>). TSC is associated with epilepsy in 70&#x2013;90% of patients, frequently manifesting with medication-resistant seizures (<xref ref-type="bibr" rid="ref52">White et al., 2001</xref>; <xref ref-type="bibr" rid="ref6">Chu-shore et al., 2010</xref>; <xref ref-type="bibr" rid="ref8">Curatolo et al., 2015</xref>; <xref ref-type="bibr" rid="ref49">Vignoli et al., 2013</xref>). While seizures are generally thought to originate from cortical tubers, marked by dysmorphic neurons and giant cells, the exact mechanism of epileptogenesis in TSC remains complex and not fully understood (<xref ref-type="bibr" rid="ref43">Rastin et al., 2023</xref>).</p>
<p>The microbiota-gut&#x2013;brain axis (MGBA) has recently been widely investigated in the etiopathogenesis of epilepsy, both in animal models and human studies (<xref ref-type="bibr" rid="ref56">Zhang et al., 2025</xref>; <xref ref-type="bibr" rid="ref10">da Silva et al., 2025</xref>; <xref ref-type="bibr" rid="ref5">Ceccarani et al., 2021</xref>; <xref ref-type="bibr" rid="ref44">Riva et al., 2025</xref>). Intestinal microorganisms may contribute to seizure onset and medication resistance through various mechanisms, including the promotion of a basal inflammatory state (<xref ref-type="bibr" rid="ref57">Zhao et al., 2023</xref>), altering gastrointestinal barrier homeostasis, and the production of a wide range of bioactive metabolites (<xref ref-type="bibr" rid="ref51">Wells et al., 2017</xref>). Gut bacteria produce both neuroactive compounds, such as tryptophan, serotonin, and dopamine, which can reach the central nervous system through the bloodstream or influence neurons in the enteric nervous system (<xref ref-type="bibr" rid="ref46">Stilling et al., 2014</xref>) and other relevant metabolites such as short-chain fatty acids (SCFAs; <xref ref-type="bibr" rid="ref51">Wells et al., 2017</xref>). These latter, particularly butyric acid, exert diverse effects that may be relevant to epilepsy, including epigenetic modulation, neuroprotection, and both local and systemic anti-inflammatory actions (<xref ref-type="bibr" rid="ref29">Kalkan et al., 2025</xref>). By influencing neuronal excitability, synaptic plasticity, and inflammatory pathways, SCFAs could contribute to seizure mitigation and improved neurological outcomes (<xref ref-type="bibr" rid="ref54">Yan et al., 2025</xref>).</p>
<p>Since pathogenic variants alone cannot account for the broad spectrum of clinical manifestations in pwTSC, in this pilot study, we investigated whether the gut microbiota might contribute to the severity of comorbidities, particularly seizure occurrence, through the gut-brain axis.</p>
</sec>
<sec sec-type="materials|methods" id="sec7">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec8">
<label>2.1</label>
<title>Cohort enrollment</title>
<p>We enrolled individuals who had been diagnosed with TSC disorder at the Department of Child Neuropsychiatry of the ASST Santi Paolo e Carlo and of the GOM Niguarda. As a control group, we included healthy controls, age- and sex-matched, and subjects with drug-susceptible (DSE) or drug-resistant epilepsy (DRE). We excluded individuals who had used antibiotics or probiotics within 1&#x202F;month before the study, and subjects who presented metabolic diseases or infectious diseases at enrollment. The study was approved by the Local Ethics Committee (protocol number 2016/ST/199, 28 July 2016). Written informed consent was obtained from parents and/or legal guardians of the enrolled patients/healthy subjects.</p>
<p>Caregivers were asked to fill out a 3-day dietary survey. The diary included three consecutive days, one of which was during the weekend. Dietary food records were processed using a commercially available software (M&#x00E8;taDieta, METEDA srl, Italy). Anthropometric evaluation completed the nutritional survey. The stool transition time was estimated by the Bristol Stool Form Scale (BSFS; <xref ref-type="bibr" rid="ref33">Lewis and Heaton, 1997</xref>).</p>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Fecal short-chain fatty acid quantification</title>
<p>SCFAs were extracted by homogenizing 200&#x202F;mg of stool in 1&#x202F;mL of water. From 300&#x202F;&#x03BC;L of homogenate, 700&#x202F;&#x03BC;L of water, 200&#x202F;&#x03BC;L of orthophosphoric acid (85%), and 100&#x202F;&#x03BC;L of internal standard (2-ethylbutyric acid, 20&#x202F;mM) were added. The mixture was extracted with 500&#x202F;&#x03BC;L diethyl ether/heptane (1:1) and centrifuged for 5&#x202F;min to recover the organic phase. Acetic, propionic, isobutyric, butyric, and isovaleric acids were quantified by GC&#x2013;MS (GC 8860 System-MSD 5977C, Agilent) using a DB-WAX Ultra Inert column. Compound identity was verified with pure standards by comparing retention times and MS spectra. Calibration standards (5&#x2013;0.3125&#x202F;mM) were extracted alongside samples using 2-ethylbutyric acid as the internal standard. Data were processed with MassHunter software (Agilent).</p>
</sec>
<sec id="sec10">
<label>2.3</label>
<title>Microbial DNA extraction and 16S rRNA gene sequencing of human gut microbiota</title>
<p>Bacterial genomic DNA from stool samples was extracted using the Spin Stool DNA Kit (Stratec Molecular, Berlin, Germany) as described by <xref ref-type="bibr" rid="ref11">Di Fede et al. (2021)</xref>. DNA concentration was measured with the DNA High Sensitivity Qubit kit (ThermoFisher Scientific, Waltham, MA, United States). The V3&#x2013;V4 regions of the bacterial 16S rRNA gene were sequenced by Macrogen (Seoul, Republic of Korea) following the Illumina 16S Metagenomic Sequencing Library Preparation protocol (Illumina, San Diego, CA, United States).</p>
<p>Amplicon sequence variants (ASVs) were identified using the DADA2 pipeline (v1.18.0) for read filtering, trimming, and denoising, and downstream analyses were conducted in R with the phyloseq package (v1.34.0) and custom scripts (<xref ref-type="bibr" rid="ref4">Callahan et al., 2016</xref>). Alpha diversity was assessed using Chao1, Shannon, Observed species, and Faith&#x2019;s PD metrics, while beta diversity was analyzed with weighted and unweighted UniFrac distances and visualized by PCoA (<xref ref-type="bibr" rid="ref37">Lozupone et al., 2011</xref>). Taxonomic assignment was performed using the 8-mer classifier of the RDP database (release 11.5; <xref ref-type="bibr" rid="ref50">Wang et al., 2007</xref>) and the GTDB 16S rRNA database (release r207; <xref ref-type="bibr" rid="ref41">Parks et al., 2022</xref>).</p>
</sec>
<sec id="sec11">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Non-categorical variables were expressed as mean&#x202F;&#x00B1;&#x202F;SD, and relative abundances as percentages. Group comparisons for alpha- and beta-diversity and taxonomic data were performed using the Kruskal&#x2013;Wallis test with Dunn&#x2019;s post-hoc correction. Co-abundance matrices were generated using Pearson&#x2019;s correlation and Ward&#x2019;s hierarchical clustering. Integration of diet, fatty acids, and microbial genera was conducted via sparse discriminant analysis using a classic PLS algorithm. Unless otherwise stated, <italic>p</italic>-values were Benjamini&#x2013;Hochberg adjusted, with significance set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<sec id="sec13">
<label>3.1</label>
<title>Cohort description</title>
<p>We enrolled 15 individuals with TSC (&#x201C;TSC&#x201D; group; mean age 8.2&#x202F;&#x00B1;&#x202F;5.5, 8 males), including 13 with pathogenic variants in <italic>TSC2</italic> and 1 with a pathogenic variant in <italic>TSC1</italic>. In one patient, no pathogenic variant was identified. Among individuals with TSC, 6 had drug-resistant seizures, while in 8 patients, seizures were under control. All patients with DRE were on 2&#x2013;3 anti-seizure medications (ASMs), and patients with DSE were on monotherapy resulting in a total of 14/15 (93%) patients receiving ASMs. One TSC individual did not experience epilepsy. None of the pwTSC included in the study were on everolimus. Besides epilepsy, 7 individuals showed ID, 4 ASD, and 1 attention-deficit/hyperactivity disorder (ADHD).</p>
<p>As control groups, we collected stool samples from 12 healthy controls (&#x201C;HC&#x201D; group; mean age 9.1&#x202F;&#x00B1;&#x202F;4.6, 5 males) and 18 subjects with epilepsy (&#x201C;EPI&#x201D; group; mean age 12.9&#x202F;&#x00B1;&#x202F;6.0, 8 males), 8 with DRE and 10 with DSE, all undergoing ASMs. Among children with DRE, 3 had ID and 1 ASD; no child with DSE presented with ID or neurodevelopmental disorder. Due to the small cohort, in the analyses we did not divide TSC and EPI individuals according to medication response; therefore, our final dataset consisted of 12 HC, 15 TSC, and 18 EPI.</p>
<p>According to the Bristol Stool Form Scale (BSFC), none of the enrolled children were severely constipated or experiencing diarrhea.</p>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>Nutritional evaluation</title>
<p>Since diet is recognized as one of the key factors shaping the gut microbiota (<xref ref-type="bibr" rid="ref60">Zmora et al., 2018</xref>), caregivers were asked to complete a 3-day food diary to assess the intake of micro- and macronutrients in the enrolled subjects.</p>
<p>The food diary analysis revealed a reduced daily energy intake in TSC subjects (TSC vs. HC, not significant; TSC vs. EPI, <italic>p</italic>&#x202F;=&#x202F;0.005), although all values remained within the range recommended by Italian national guidelines (<xref ref-type="bibr" rid="ref25">Italian Society of Human Nutrition (SINU), 2024</xref>). At the macronutrient level, no statistically significant differences were observed between the TSC and HC groups. However, the EPI group showed a higher intake of protein, lipids, and saturated fats (in grams) compared to the TSC group (<italic>p</italic>&#x202F;=&#x202F;0.009, <italic>p</italic>&#x202F;=&#x202F;0.004, and <italic>p</italic>&#x202F;=&#x202F;0.038, respectively). Despite these findings, no significant differences were observed among the groups in protein, lipid, carbohydrate, or dietary fiber intake when macronutrients were assessed as a percentage of total energy intake. Macronutrient values - except for fats, which were elevated across all groups - aligned with Italian national recommendations [<xref ref-type="bibr" rid="ref25">Italian Society of Human Nutrition (SINU), 2024</xref>]. A detailed table of diet evaluation is provided in the <xref ref-type="supplementary-material" rid="SM2">Supplementary Table S1</xref>.</p>
</sec>
<sec id="sec15">
<label>3.3</label>
<title>Biodiversity assessment of gut microbial community</title>
<p>Microbiota profiling was performed through V3-V4 16S rRNA gene-targeted sequencing. After quality filtering processes, we obtained a mean count of 31,953 (+/&#x2212; 5,840) reads per sample. Sequencing depth was set to the lowest sequenced sample (<italic>n</italic>&#x202F;=&#x202F;18,216 reads), to compensate for the sequencing unevenness of the samples and to provide a consistent minimum amount for the downstream analysis.</p>
<p>Alpha-diversity analyses (<xref ref-type="fig" rid="fig1">Figure 1A</xref>) did not indicate significant differences between the HC, TSC, and EPI groups for both species richness and biodiversity.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Microbiota biodiversity characterization. Panel <bold>A</bold>: box plots of alpha-diversity metrics across the three groups. No statistically significant differences were observed in the Observed Species (<italic>p</italic>&#x202F;=&#x202F;0.820, <italic>p</italic>&#x202F;=&#x202F;0.735, and <italic>p</italic>&#x202F;=&#x202F;0.587 for HC vs. TSC, HC vs. EPI, TSC vs. EPI, respectively), Chao1 (<italic>p</italic>&#x202F;=&#x202F;0.820 for all the analyses), Shannon (<italic>p</italic>&#x202F;=&#x202F;0.820, <italic>p</italic>&#x202F;=&#x202F;0.723, and <italic>p</italic>&#x202F;=&#x202F;0.587), and PD Whole Tree (<italic>p</italic>&#x202F;=&#x202F;0.781, <italic>p</italic>&#x202F;=&#x202F;0.819, and <italic>p</italic>&#x202F;=&#x202F;0.667) indexes. Panels <bold>B,C</bold>: principal coordinate analysis (PCoA) plots display beta-diversity among the three groups. Panel <bold>B</bold> depicts the unweighted Unifrac matrix of dissimilarity, while Panel <bold>C</bold> shows the weighted Unifrac metric. The first and third principal coordinates are reported for both measures. All comparisons between experimental groups were not significant.</p>
</caption>
<graphic xlink:href="fnins-19-1655456-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Box plots and scatter plots comparing diversity metrics across groups. Panel A shows box plots for Observed Species, Chao1, Shannon, and PD whole tree, comparing HC, TSC, and EPI groups. Panels B and C present Unweighted and Weighted Unifrac analyses, respectively, with scatter plots illustrating clustering of groups EPI, HC, and TSC on Axis 1 and Axis 3, marked by overlapping ellipses.</alt-text>
</graphic>
</fig>
<p>Similarly, beta-diversity analysis (<xref ref-type="fig" rid="fig1">Figures 1B</xref>,<xref ref-type="fig" rid="fig1">C</xref>) fails to reveal significant differences in terms of microbiota dissimilarity between the cohorts. However, Weighted Unifrac distance (panel C) showed a trend toward distinct clusters between HC and TSD (raw <italic>p</italic>-value&#x202F;=&#x202F;0.035, adj <italic>p</italic>-value&#x202F;=&#x202F;0.105) and to a lesser extent between HC and EPI (raw <italic>p</italic>-value&#x202F;=&#x202F;0.074, adj <italic>p</italic>-value&#x202F;=&#x202F;0.111).</p>
<p>When detailing the taxonomy phylogenetic levels among the three studied groups (<xref ref-type="fig" rid="fig2">Figure 2</xref>), we observed a significant decrease in the Firmicutes relative abundances within the TSC and EPI groups compared to healthy controls (50.1% HC vs. 33.6% TSC, adj <italic>p</italic>&#x202F;=&#x202F;0.015; 50.1% HC vs. 38.0% EPI, adj <italic>p</italic>&#x202F;=&#x202F;0.044). In agreement, the Firmicutes/Bacteroidota ratio was reduced in TSC and EPI groups (<xref ref-type="fig" rid="fig2">Figure 2A</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Taxonomy analysis. Panel <bold>A</bold>: boxplot of the ratio between the abundance of Bacteroidota and Firmicutes phyla in the three groups. Mean ratios (SD) are HC 6.23 (6.98), TSC 3.93 (2.84), EPI 3.85 (4.18). Panel <bold>B</bold>: Taxonomy analysis at family level of the gut microbiota in HC, TSC, and EPI groups. Panel <bold>C</bold>: relative abundance of bacteria genera. Only taxa with a mean relative abundance &#x003E; 0.01 in at least one of the two experimental groups have been reported. See <xref ref-type="supplementary-material" rid="SM3">Supplementary Table S2</xref> for the full list and statistics. Panel <bold>D&#x2013;H</bold>: Gardner-Altman estimation plots for, respectively, the genera <italic>Gemmiger</italic> <bold>(D)</bold>, <italic>Bifidobacterium</italic> <bold>(E)</bold>, <italic>Faecousia</italic> <bold>(F)</bold>, <italic>Faecalibacterium</italic> <bold>(G)</bold>, <italic>Akkermansia</italic> <bold>(H)</bold>. The upper parts of the plots depict the groups&#x2019; abundances and distribution among the single samples; the lower parts report TSC and EPI average differences and effect sizes with respect to the HC group (set as 0).</p>
</caption>
<graphic xlink:href="fnins-19-1655456-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar charts and box plots depict microbiota data across three groups: HC, TSC, and EPI. Panel (A) shows the Firmicutes/Bacteroidota ratio. Panel (B) shows relative abundance by family, while panel (C) displays it by genus. Panels (D) to (H) illustrate differences in specific genera: Gemmiger, Bifidobacterium, Faecousia, Faecalibacterium, and Akkermansia, with mean differences highlighted below each plot.</alt-text>
</graphic>
</fig>
<p>Among Firmicutes, the <italic>Ruminococcaceae</italic> family (<xref ref-type="fig" rid="fig2">Figure 2B</xref>) was found to be significantly reduced in both clinical groups compared to the HC subjects (32.6% HC vs. 16.6% EPI, <italic>p</italic>&#x202F;=&#x202F;0.014; 32.6% HC vs. 16.1% TSC, <italic>p</italic>&#x202F;=&#x202F;0.015). It is worth noticing that, although not significantly, the <italic>Bacteroidaceae</italic> family reported lower relative abundances within the HC group (13.3% in HC vs. 15.8% TSC and 16.9% EPI), while the <italic>Oscillospiraceae</italic> family was observed to be consistently higher in the EPI group (6.8% vs. 2.3% HC and 3.0% TSC). At the genus level (<xref ref-type="fig" rid="fig2">Figure 2C</xref>), we found HC microbial communities to be characterized by higher levels of <italic>Gemmiger</italic> (20.4% HC vs. 10.5% EPI, <italic>p</italic>&#x202F;=&#x202F;0.043; 10.3% TSC, <italic>p</italic>&#x202F;=&#x202F;0.073; <xref ref-type="fig" rid="fig2">Figure 2D</xref>), <italic>Blautia_A</italic> (1% HC vs. 0.6% EPI, <italic>p</italic>&#x202F;=&#x202F;0.010) <italic>Faecalibacterium</italic> (11.9% HC vs. 5.5% TSC, <italic>p</italic>&#x202F;=&#x202F;0.118; <xref ref-type="fig" rid="fig2">Figure 2G</xref>). Subjects with TSC, compared to the EPI, showed higher abundances of <italic>Bifidobacterium</italic> (<xref ref-type="fig" rid="fig2">Figure 2E</xref>), <italic>Prevotella</italic>, and <italic>Akkermansia</italic> (<xref ref-type="fig" rid="fig2">Figure 2H</xref>) spp. Subjects with EPI, on the other hand, had consistently higher abundance of <italic>Bacteroides, Phocaeicola,</italic> and <italic>Faecousia</italic> (<xref ref-type="fig" rid="fig2">Figure 2F</xref>). Taxonomy data is extensively detailed in <xref ref-type="supplementary-material" rid="SM3">Supplementary Table S2</xref>.</p>
<p>Co-abundance relationships among the bacterial genera in HC, TSC, and EPI groups are reported in <xref ref-type="fig" rid="fig3">Figure 3</xref>. The progression from HC to EPI to TSC illustrates a gradient of microbial network disruption: while HC maintains robust and interconnected microbial communities, EPI patients exhibit moderate disruption, and pwTSC show significant fragmentation. The hierarchical cluster analysis identified three Co-Abundance Groups (CAGs) in HC and TSC, and two CAGs in the EPI group. All CAGs clustered differently between groups but showed comparable compositions. HC revealed two CAGs of bacteria positively related: one comprising the butyrate producers <italic>Roseburia</italic> and CAG-83 (belonging to the <italic>Oscillospiraceae</italic>), and the second dominated by Bacteroidia (<italic>Bacteroides</italic> and <italic>Phoecaeicola</italic>) and by <italic>Gemmiger</italic>, the most depleted taxon in both TSC and EPI. <italic>Akkermansia</italic> and <italic>Faecalibacterium</italic>, on the other hand, group together within a third HC CAG. TSC also presented three CAGs: one dominated by <italic>Bifidobacterium</italic> and <italic>Akkermansia</italic>, both enriched in TSC, plus <italic>Faecousia</italic> and <italic>Ruminococcus</italic>. This CAG is negatively related to the second, encompassing <italic>Faecalibacterium</italic> (strongly depleted)<italic>, Roseburia</italic>, <italic>Phoecaeicola,</italic> and <italic>Prevotella,</italic> while the third CAG comprises <italic>Dialister, Alistipes</italic>, <italic>Bacteroides,</italic> and <italic>Gemmiger</italic>. The EPI microbial community presented only two CAGs, of which only one was characterized by significant positive co-abundances that included both depleted, <italic>Roseburia</italic> and <italic>Faecalibacterium,</italic> and increased genera, i.e., <italic>Alistipes</italic>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Co-abundance correlation analysis at genus level for HC, TSC, and EPI subjects. For each group, only taxa with relative abundance &#x003E;0.01 are listed. Pearson&#x2019;s correlation R values range from &#x2212;1 (negative correlation, blue) to 1 (positive, red). Yellow, blue, and green hierarchical clusters represent different Co-Abundant Groups (CAGs). Asterisks (&#x002A;) report statistical significance (adj <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</caption>
<graphic xlink:href="fnins-19-1655456-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Circular correlation diagram depicting relationships between dietary components, fatty acids, and bacterial genera. Red lines indicate positive correlations, blue lines indicate negative correlations. Groups include Diet, FattyAcids, and Genus, with different expressions marked by color-coded outlines: blue for EPI, orange for HC, gray for TSC.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec16">
<label>3.4</label>
<title>Microbial metabolite analysis</title>
<p>Changes in the relative abundance of microbial species, combined with a diet that influences substrate availability, can lead to variations in the production and release of microbial metabolites. Total SCFA content was similar in the three enrolled groups. In agreement, no significant differences were found in acetate (<italic>p</italic>&#x202F;=&#x202F;0.453), propionate (<italic>p</italic>&#x202F;=&#x202F;0.291), and butyrate (<italic>p</italic>&#x202F;=&#x202F;0.902), as well as in the branched-chain fatty acids (BCFAs) Isobutyrate (<italic>p</italic>&#x202F;=&#x202F;0.113) and Isovalerate (<italic>p</italic>&#x202F;=&#x202F;0.064; see <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
</sec>
<sec id="sec17">
<label>3.5</label>
<title>Diet-metabolomic-microbiome interactions</title>
<p>To explore links among diet, gut microbiota, and microbial metabolites, we integrated diet&#x2013;metabolite&#x2013;microbiota data using sparse discriminant analysis (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The block correlation analysis revealed key associations: <italic>Faecalibacterium</italic>, reduced in both EPI and TSC groups, correlated negatively with BCFAs and total lipids but positively with total fiber. Conversely, BCFAs were positively associated with <italic>Faecousia</italic> (enriched in EPI subjects) and protein intake, reflecting fermentation-derived production. <italic>Bifidobacterium</italic>, slightly increased in TSC in an individual-dependent manner, correlated negatively with propionate, which was lowest in TSC. <italic>Gemmiger</italic>, characteristic of the HC microbiota, correlated positively with carbohydrate intake.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Circular plot for dietary macronutrient (red block), key metabolites (green block), microbial genera (blue block) data integration, with a |r|&#x202F;=&#x202F;0.4 correlation cutoff. Positive associations are depicted with red lines, negative ones in light blue. External blue, gray, and orange lines represent the features&#x2019; expression in EPI, TSC, and HC, respectively.</p>
</caption>
<graphic xlink:href="fnins-19-1655456-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three heatmaps depict co-abundant genera across different groups: HC, TSC, and EPI. Each heatmap shows genera relationships using color gradients from blue to red, indicating varying correlation values from -1 to 1. Dendrograms above and to the side organize the genera. Distinct color keys, showing the correlation value, accompany each map. Some cells are marked with asterisks, highlighting significant data points. The genera names are listed alongside the vertical and horizontal axes of each plot.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec18">
<label>4</label>
<title>Discussion</title>
<p>To our knowledge, this is the first study investigating the possible contribution of the gut microbial communities to the neurological features of TSC, especially regarding epilepsy.</p>
<p>In recent years, the gut microbiota has garnered increasing interest in the field of neuroscience, although its role although its role in epilepsy is still in its early stages, several promising findings have already emerged (<xref ref-type="bibr" rid="ref5">Ceccarani et al., 2021</xref>; <xref ref-type="bibr" rid="ref44">Riva et al., 2025</xref>; <xref ref-type="bibr" rid="ref59">Zhu et al., 2024</xref>). Indeed, alterations in microbiota composition have been reported in individuals with epilepsy as well as in certain animal models (<xref ref-type="bibr" rid="ref59">Zhu et al., 2024</xref>). Both preclinical and clinical studies suggest that modulating the gut microbiota may have antiseizure effects, highlighting its potential not only as a biomarker but also as a therapeutic target (<xref ref-type="bibr" rid="ref18">Gong et al., 2021</xref>; <xref ref-type="bibr" rid="ref20">He et al., 2017</xref>; <xref ref-type="bibr" rid="ref17">G&#x00F3;mez-Egu&#x00ED;laz et al., 2018</xref>). For instance, recent studies demonstrated the beneficial effect of probiotics as an adjunctive treatment in drug-resistant epilepsy (<xref ref-type="bibr" rid="ref17">G&#x00F3;mez-Egu&#x00ED;laz et al., 2018</xref>; <xref ref-type="bibr" rid="ref12">El-Sharkawy et al., 2024</xref>).</p>
<p>TSC is associated with epilepsy in 70&#x2013;90% (<xref ref-type="bibr" rid="ref8">Curatolo et al., 2015</xref>; <xref ref-type="bibr" rid="ref49">Vignoli et al., 2013</xref>) and can cause developmental epileptic encephalopathy due to early onset epilepsy and associated neurodevelopmental disorders (<xref ref-type="bibr" rid="ref27">J&#x00F3;&#x017A;wiak et al., 2025</xref>) and undoubtedly linked to the genetic substrate underlying the disorder (<xref ref-type="bibr" rid="ref40">Ng et al., 2022</xref>). Generally, patients carrying <italic>TSC2</italic> pathogenic variants, as the majority of the subjects enrolled in the present study, present a more severe phenotype, characterized by a higher number of tubers, earlier age at seizure onset, and higher prevalence of ID (<xref ref-type="bibr" rid="ref9">Curatolo et al., 2023</xref>). Nevertheless, the clinical phenotype may show a high variability, and recent preclinical studies and human reports have suggested a possible role of inflammatory processes, particularly the activation of microglia, increased expression of pro-inflammatory cytokines, as well as aberrant mTOR-mediated immune responses, in the development and progression of neurological symptoms in pwTSC (<xref ref-type="bibr" rid="ref30">Kaur et al., 2021</xref>; <xref ref-type="bibr" rid="ref53">Xie et al., 2020</xref>; <xref ref-type="bibr" rid="ref15">Fuso et al., 2016</xref>; <xref ref-type="bibr" rid="ref2">Balthazard et al., 2025</xref>; <xref ref-type="bibr" rid="ref19">Gruber et al., 2022</xref>).</p>
<p>A recent study in a <italic>Tsc2<sup>+/&#x2212;</sup></italic> mouse model showed that deficiency of the <italic>TSC2</italic> gene causes different gut microenvironments, which may be linked to decreased connectivity and sociability. Furthermore, after a treatment with dietary curcumin, the abundance of certain bacterial taxa was greatly increasedand corresponded to increased myelination and white matter plasticity, contributing to improved sociability in <italic>Tsc2<sup>+/&#x2212;</sup></italic> mice (<xref ref-type="bibr" rid="ref24">Hsieh et al., 2024</xref>).</p>
<p>In this study, we characterized the gut microbiota of individuals with TSC and compared it to age- and sex-matched neurotypical controls and individuals with non-TSC epilepsy. A dietary survey was conducted to control for environmental influences, revealing no major differences among groups. Likewise, SCFA and BCFA levels did not differ significantly between groups.</p>
<p>Alpha-diversity metrics, which reflect the biodiversity within each sample, revealed no significant differences in species evenness or richness among the study groups. Regarding beta-diversity, although the differences did not reach statistical significance, we observed a trend toward clustering of TSC and EPI individuals, distinct from HC, consistent with existing literature suggesting an epilepsy-associated gut dysbiosis (<xref ref-type="bibr" rid="ref42">Peng et al., 2018</xref>).</p>
<p>The taxonomic analysis highlighted a depletion of Firmicutes in both TSC and EPI, resulting in a decrease of F/B ratio, in agreement with literature studies (<xref ref-type="bibr" rid="ref59">Zhu et al., 2024</xref>; <xref ref-type="bibr" rid="ref5">Ceccarani et al., 2021</xref>). In our cohort, the observed decrease in Firmicutes appears to be primarily driven by a reduction in the <italic>Ruminococcaceae</italic> family, and at the genus level, by <italic>Gemmiger</italic>, and to a lesser extent, <italic>Faecalibacterium</italic> spp. <italic>Gemmiger</italic> has recently been identified as a biomarker of a healthy gut microbiota, noted for its anti-inflammatory properties. Together with <italic>Faecalibacterium</italic> and <italic>Roseburia</italic>, <italic>Gemmiger</italic> defines the three co-abundance groups (CAGs) identified in the healthy control group and considered beneficial due to their health-promoting activities (<xref ref-type="bibr" rid="ref14">Forbes et al., 2018</xref>; <xref ref-type="bibr" rid="ref3">Borghi et al., 2024</xref>), primarily through the production of SCFAs (<xref ref-type="bibr" rid="ref31">Kircher et al., 2022</xref>). Notably, all three taxa are capable of producing butyrate - a metabolite known for its wide-ranging positive effects - including the ability to mitigate epileptogenic stimuli in rodent models by reducing oxidative stress and neuroinflammation (<xref ref-type="bibr" rid="ref1">Adebayo et al., 2025</xref>; <xref ref-type="bibr" rid="ref34">Li et al., 2021</xref>).</p>
<p>Recently published research demonstrated that active epilepsy in individuals with TSC is associated with elevated levels of GFAP compared to those with TSC but without epilepsy. This finding was confirmed in an external validation cohort and was also accompanied by increased levels of pro-inflammatory cytokines, including IL-17A, IL-17C, and TNF-<italic>&#x03B1;</italic> (<xref ref-type="bibr" rid="ref42">Peng et al., 2018</xref>). Different microbial taxa in the gut exert either pro-inflammatory or anti-inflammatory effects and have been reported to modulate both local and systemic inflammation. Notably, <italic>Faecalibacterium</italic> and <italic>Roseburia</italic> are the most frequently reported for dampening the inflammation (<xref ref-type="bibr" rid="ref59">Zhu et al., 2024</xref>). Their ability to modulate the Th17/Treg balance toward a more tolerogenic profile relies on their production of butyrate and its histone deacetylase (HDAC) inhibitory activity (<xref ref-type="bibr" rid="ref58">Zhou et al., 2018</xref>).</p>
<p>Most of the alterations described in this exploratory study, including the above-mentioned depletion in <italic>Gemmiger</italic> and <italic>Faecalibacterium</italic>, were shared between TSC and EPI groups, suggesting that epilepsy may be the common underlying factor. However, some distinctions were noted: the TSC group exhibited an enrichment of <italic>Akkermansiaceae</italic> compared to both HC and EPI groups, while the EPI group showed a decreased relative abundance of <italic>Blautia_A</italic> and <italic>Faecousia</italic>. Increased abundance of <italic>Akkermansia,</italic> which to a lesser extent also involves the EPI group, has been observed in other neurological disorders, including epilepsy itself (<xref ref-type="bibr" rid="ref5">Ceccarani et al., 2021</xref>), multiple sclerosis (<xref ref-type="bibr" rid="ref26">Jangi et al., 2016</xref>), Alzheimer&#x2019;s disease, and Parkinson&#x2019;s disease (<xref ref-type="bibr" rid="ref13">Fang et al., 2021</xref>). In the TSC group, <italic>Akkermansia</italic> was positively related to <italic>Bifidobacterium</italic>, one of the CAGs. In contrast, in the HC group, <italic>Akkermansia</italic> was associated with <italic>Faecalibacterium</italic>, suggesting potential alterations in the microbial network dynamics between taxa.</p>
<p>We observed a significant reduction of the genus <italic>Blautia</italic> in the EPI group compared with HC. <italic>Blautia</italic> includes species with diverse metabolic properties and, in turn, effects on human health (<xref ref-type="bibr" rid="ref36">Liu et al., 2021</xref>), but the V3&#x2013;V4 sequencing of the 16S rRNA gene does not allow for precise identification of the depleted species, underestimating the potential role in epilepsy. The EPI group was characterized by an enrichment of <italic>Faecousia</italic>, a recently described taxon belonging to the <italic>Oscillospiraceae</italic> family, with predicted capabilities for starch utilization and production of SCFAs (<xref ref-type="bibr" rid="ref22">Hitch et al., 2025</xref>). Although <italic>Oscillospiraceae</italic> is generally considered a beneficial family, the significance of this finding remains difficult to interpret given the limited current knowledge (<xref ref-type="bibr" rid="ref55">Yang et al., 2021</xref>).</p>
<p>Considering the whole spectrum of TANDs, many individuals with TSC in our cohort showed ID and/or neurodevelopmental disorder (ASD or ADHD). ASD is characterized by a distinct intestinal bacterial signature, and neuroinflammation has been proposed as an underlying mechanism. Indeed, increased intestinal permeability may pave the way to neuroinflammation via cytokines, leading to synaptic dysfunction and failure of microglia maturation (<xref ref-type="bibr" rid="ref23">Hsiao et al., 2013</xref>). The bacterial phyla most frequently associated with higher inflammatory cytokine levels in ASD children are <italic>Prevotella, Bacteroidetes,</italic> and <italic>Bifidobacterium</italic> (<xref ref-type="bibr" rid="ref38">Morton et al., 2023</xref>). Intriguingly, these genera were also enriched in our TSC group compared to HC and EPI, highlighting shared microbial signatures potentially associated with specific clinical features.</p>
</sec>
<sec id="sec19">
<label>5</label>
<title>Limitations and future directions</title>
<p>These preliminary findings, although derived from a small cohort, provide an important first step in clarifying the role of the microbiota&#x2013;gut&#x2013;brain axis (MGBA) in TSC. Larger, multi-center studies will be essential to confirm these results and to enable subgroup analyses based on epilepsy-related factors (e.g., duration, type and number of antiseizure medications) as well as neuropsychiatric profiles, which may yield more nuanced insights.</p>
<p>The sample size, while sufficient to identify broad trends, may limit the detection of more subtle associations. To ensure transparency, results close to conventional significance thresholds are reported with exact <italic>p</italic>-values and descriptive statistics.</p>
<p>Methodologically, the use of V3-V4 16S rRNA sequencing provides valuable taxonomic insight but restricts resolution at the genus level and does not capture microbial functional activity.</p>
<p>The gut microbiota plays a powerful role in shaping inflammation, which through the gut-brain axis may fuel epileptogenesis and worsen neurological symptoms in TSC. Given that the gut microbiota is both accessible and modifiable, investigating its potential role could offer promising avenues for the development of more personalized and effective treatments. Future studies with larger cohorts, longitudinal sampling, and multi-omics approaches will be necessary to confirm and expand upon these preliminary findings.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The 16S rRNA gene sequences obtained from this study were deposited in the NCBI Short-reads Archive (SRA) repository with BioProject accession number PRJNA1269281 (<ext-link xlink:href="https://www.ncbi.nlm.nih.gov/sra/" ext-link-type="uri">https://www.ncbi.nlm.nih.gov/sra/</ext-link>).</p>
</sec>
<sec sec-type="ethics-statement" id="sec21">
<title>Ethics statement</title>
<p>The study was approved by the Local Ethics Committee (protocol number 2016/ST/199, 28 July 2016). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin. 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="sec22">
<title>Author contributions</title>
<p>EO: Formal analysis, Writing &#x2013; original draft, Data curation. MM: Methodology, Visualization, Writing &#x2013; review &#x0026; editing, Software. CC: Methodology, Formal analysis, Data curation, Writing &#x2013; original draft. SA: Writing &#x2013; original draft, Visualization. FrT: Writing &#x2013; original draft, Resources. FB: Writing &#x2013; original draft, Data curation, Supervision. SB: Writing &#x2013; review &#x0026; editing, Supervision. FeT: Writing &#x2013; review &#x0026; editing, Validation. AP: Visualization, Writing &#x2013; review &#x0026; editing. IV: Resources, Writing &#x2013; review &#x0026; editing. ER: Writing &#x2013; original draft, Formal analysis. AV: Writing &#x2013; review &#x0026; editing, Conceptualization, Validation. EB: Data curation, Funding acquisition, Writing &#x2013; original draft.</p>
</sec>

<ack><title>Acknowledgments</title>
<p>We express our gratitude to all the enrolled individuals and caregivers for their participation. This work was endorsed by the EpiCARE European Reference Network for rare and complex epilepsies.</p>
</ack>
<sec sec-type="COI-statement" id="sec24">
<title>Conflict of interest</title>
<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>
<p>The reviewer GdO declared a past co-authorship / collaboration with the author AV.</p>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="correction-note" id="sec025">
<title>Correction note</title>
<p>A correction has been made to this article. Details can be found at: <ext-link xlink:href="https://doi.org/10.3389/fnins.2025.1760688" ext-link-type="uri">10.3389/fnins.2025.1760688</ext-link>.</p>
</sec>
<sec sec-type="ai-statement" id="sec25">
<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="sec26">
<title>Publisher&#x2019;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="sec27">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnins.2025.1655456/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnins.2025.1655456/full#supplementary-material</ext-link></p>
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</ref-list><fn-group><fn id="fn0001" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/118915/overview">Am&#x00E9;lia M. Sarmento</ext-link>, Fernando Pessoa University, Portugal</p></fn>
<fn id="fn0002" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/138747/overview">Rajnikant Dixit</ext-link>, National Institute of Malaria Research (ICMR), India</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/414115/overview">Giuseppe d'Orsi</ext-link>, IRCCS Casa Sollievo della Sofferenza Hospital, Italy</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/521889/overview">Romina Moavero</ext-link>, Bambino Ges&#x00F9; Children's Hospital (IRCCS), Italy</p></fn></fn-group></back>
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