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<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
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<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
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<issn pub-type="epub">1663-9812</issn>
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<article-id pub-id-type="publisher-id">1761563</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2026.1761563</article-id>
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<subj-group subj-group-type="heading">
<subject>Clinical Trial</subject>
</subj-group>
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<title-group>
<article-title>Clinical efficacy and mechanistic study of fulvning granules in symptomatic atrial fibrillation: a randomized controlled trial with untargeted metabolomics analysis</article-title>
<alt-title alt-title-type="left-running-head">Tao et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2026.1761563">10.3389/fphar.2026.1761563</ext-link>
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<name>
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<given-names>Jinru</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>&#x2020;</sup>
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</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>&#x2020;</sup>
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<given-names>Tianyi</given-names>
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<sup>1</sup>
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<given-names>Na</given-names>
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<surname>Deng</surname>
<given-names>Bing</given-names>
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<aff id="aff1">
<label>1</label>
<institution>Department of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine</institution>, <city>Shanghai</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Department of Traditional Chinese Medicine, Yangpu Hospital, Tongji University</institution>, <city>Shanghai</city>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Shanghai University of Traditional Chinese Medicine</institution>, <city>Shanghai</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Nuo Tang, <email xlink:href="mailto:tangnuo2002@163.com">tangnuo2002@163.com</email>; Qiong Wu, <email xlink:href="mailto:wuqiong1203@126.com">wuqiong1203@126.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1761563</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>05</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Tao, Liu, Cheng, Li, Hu, Zhan, Yu, Zhou, Liu, Ma, Zhang, Deng, Shen, Tang and Wu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Tao, Liu, Cheng, Li, Hu, Zhan, Yu, Zhou, Liu, Ma, Zhang, Deng, Shen, Tang and Wu</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">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>
<title>Background</title>
<p>Atrial fibrillation (AF) is the most prevalent sustained arrhythmia and a leading cause of morbidity and mortality worldwide. Although antiarrhythmic drugs and catheter ablation have improved AF management, their therapeutic efficacy remains suboptimal. Fulvning Granules (FLN), a regulated hospital preparation officially approved by the Shanghai Drug Administration, have shown promising clinical efficacy in local practice. However, robust high-level clinical evidence is required to validate their benefits and elucidate the underlying mechanisms.</p>
</sec>
<sec>
<title>Materials and methods</title>
<p>A randomized, double-blind, placebo-controlled trial enrolled 136 symptomatic AF patients, who received either FLN or a placebo for 4 weeks in addition to standard guideline-directed medical therapy (GDMT). The primary endpoint was AF control effectiveness, assessed by 24-h Holter monitoring. Secondary endpoints included palpitation frequency and duration, echocardiographic evaluation of cardiac structure and function, N-terminal pro-B-type natriuretic peptide (NT-pro BNP)levels, Hamilton Anxiety (HAMA) and Depression (HAMD) Scales, and the 36-item Short-Form Health Survey (SF-36) from baseline to week 4. To further validate FLN&#x2019;s efficacy and explore its mechanisms, serum-based metabolic pathway analysis was conducted to investigate the metabolic network associated with FLN treatment of AF.</p>
</sec>
<sec>
<title>Results</title>
<p>FLN significantly improved AF control compared with placebo (78.57% vs. 54.39%; <italic>P</italic> &#x3d; 0.001), with concomitant reductions in both the frequency and duration of palpitations. In addition, treatment with FLN markedly enhanced psychological well-being and health-related quality of life. Untargeted metabolomics analysis identified 23 bioactive compounds in FLN and revealed significant modulation of ketone, butanoate, and glycerophospholipid pathways (<italic>P</italic> &#x3c; 0.05), primarily involving acylcarnitines, Lutein, and LysoPC (22:0).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>FLN serves as a safe and effective adjuvant therapy for reducing AF episode frequency and ventricular rate in patients with symptomatic AF. Its mechanism may involve the modulation of cardiac energy metabolism.</p>
</sec>
<sec>
<title>Clinical Trial Registration</title>
<p>ClinicalTrials.gov, identifier ChiCTR2000036835.</p>
</sec>
</abstract>
<kwd-group>
<kwd>clinical trial</kwd>
<kwd>fulvning granules</kwd>
<kwd>metabolomics analysis</kwd>
<kwd>symptomatic atrial fibrillation</kwd>
<kwd>traditional Chinese medicine</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The study design has been supported by National Science and Technology Major Project of China (2025ZD0548300, 2025ZD0548304), National Natural Science Foundation (82004319), Clinical Research Plan of SHDC(SHDC2020CR4054), Shanghai Science and Technology Commission (Project Number: 19401970900), Shanghai Pujiang Program (Grant No.25PJD125) and Shanghai Municipal Sports Science and Technology Program (26Q011). Shanghai Municipal Famous Senior TCM Experts Academic Experience Research Studio Construction Project (SHGZS-2017014).</funding-statement>
</funding-group>
<counts>
<fig-count count="11"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="17"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Ethnopharmacology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Atrial fibrillation is the most prevalent sustained arrhythmia and a major contributor to global morbidity and mortality (<xref ref-type="bibr" rid="B10">Joglar et al., 2024</xref>). Epidemiological data suggest that AF burden in the Asia-Pacific region is projected to surpass that of North America and Europe, with the number of AF patients expected to reach 72 million by 2050 (<xref ref-type="bibr" rid="B12">Lippi et al., 2021</xref>). As a major population center within the Asia-Pacific, China has seen a twentyfold increase in AF prevalence over the past decade, reaching 1.6% in 2015 (<xref ref-type="bibr" rid="B23">Shi et al., 2022</xref>). AF worsens quality of life (QoL) and increases the risk of stroke, heart failure (HF), arrhythmic events, and mortality. Its incidence rises with aging, cardiac dysfunction, comorbidities, and poor lifestyle habits, leading to longer hospital stays, higher costs, and worse outcomes (<xref ref-type="bibr" rid="B11">Kirchhof et al., 2020</xref>; <xref ref-type="bibr" rid="B7">Hindricks et al., 2021</xref>).</p>
<p>Current AF treatments include pharmacological therapy, catheter ablation, and left atrial appendage occlusion. Pharmacological management primarily consists of antiarrhythmic drugs (AADs) for rhythm or rate control, along with anticoagulants. While pharmacological cardioversion has a success rate of 58%&#x2013;75%, significant variability and adverse effects limit its widespread use (<xref ref-type="bibr" rid="B2">Dixit et al., 2024</xref>; <xref ref-type="bibr" rid="B25">Valembois et al., 2019</xref>). Catheter ablation is an effective rhythm-control strategy for drug-refractory symptomatic paroxysmal AF, supported by multiple randomized trials and large registries (<xref ref-type="bibr" rid="B10">Joglar et al., 2024</xref>; <xref ref-type="bibr" rid="B21">Schnabel et al., 2023</xref>). However, 30%&#x2013;40% of patients experience recurrence after the first procedure, with recurrence rates up to 45.9% within a year (<xref ref-type="bibr" rid="B10">Joglar et al., 2024</xref>). Additionally, thermal injury from radiofrequency ablation can lead to intraoperative pain and postoperative complications, affecting procedural success and patient outcomes. Given the importance of patient selection in determining ablation efficacy (<xref ref-type="bibr" rid="B9">Iliodromitis et al., 2023</xref>), it cannot be considered a first-line treatment for all patients, highlighting the need for novel strategies to improve long-term rhythm control, reduce recurrence, and enhance outcomes.</p>
<p>Traditional Chinese Medicine (TCM) offers distinct advantages in treating cardiovascular diseases through its multi-metabolite, multi-target approach. Growing evidence confirms the antiarrhythmic properties of various herbal formulations (<xref ref-type="bibr" rid="B8">Huang et al., 2024</xref>; <xref ref-type="bibr" rid="B20">Quan et al., 2023</xref>). FLN is a sophisticated hospital preparation developed by Professor Zhongxiang Lin based on decades of specialized clinical experience in arrhythmia management at Longhua Hospital. It is a modified formulation derived from two landmark classical TCM prescriptions&#x2014;Shengmai San (for nourishing Qi and Yin) and Ganmai Dazao Tang (for emotional regulation and spirit-calming) (<xref ref-type="bibr" rid="B17">National Pharmacopoeia Committee, 2020</xref>). Approved for market in China in 2004 (Approval Number: Z20030058), FLN has demonstrated comparable efficacy to propafenone in treating Qi and Yin deficiency-type arrhythmias (<xref ref-type="bibr" rid="B13">Liu et al., 2017</xref>; <xref ref-type="bibr" rid="B29">Wei et al., 2017</xref>). Clinical studies also report improvements in TCM-related symptoms with a favorable safety profile. A recent study also showed that FLN can reduce the frequency and duration of symptomatic atrial fibrillation episodes and help control ventricular rate (<xref ref-type="bibr" rid="B14">Liu et al., 2023</xref>). However, due to limited sample sizes and a lack of robust clinical trials, further investigation is needed.</p>
<p>Metabolomics, as a part of systems biology, is an approach that involves the comprehensive analysis of all metabolites during a specific physiological period (<xref ref-type="bibr" rid="B19">Qiu et al., 2023</xref>). With the continuous development of metabolomics, an increasing number of metabolites have been discovered and studied, providing new insights for a deeper understanding of the mechanisms underlying cardiovascular diseases (<xref ref-type="bibr" rid="B16">Lv et al., 2024</xref>). This study integrated plasma metabolomics analysis to further explore the mechanism of FLN in treating symptomatic AF. To our knowledge, this is the first randomized double-blind placebo-controlled clinical study combining metabolomics to investigate TCM treatment of symptomatic AF. It provides a new research strategy for exploring the efficacy of TCM and offers scientific reference for understanding the etiology and pathogenesis of Qi-Yin deficiency syndrome in AF treatment with FLN.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Study design and settings</title>
<p>This study was a prospective, randomized, double-blind, placebo-controlled clinical trial conducted at Longhua Hospital, affiliated with the Shanghai University of TCM. The study was approved by the Institutional Review Board of Longhua Hospital (No. 2021LCSY051) and conducted in accordance with the principles of Good Clinical Practice (GCP) and the Declaration of Helsinki. The trial was registered in the Chinese Clinical Trials Registry on 20 September 2020 (ChiCTR2000036835).</p>
<p>Investigational product: FLN is a regulated Hospital Preparation officially approved by the Shanghai Drug Administration (Approval No. Z2003005). The granules were manufactured and supplied by Shanghai Baolong Pharmaceutical Co., Ltd. (Shanghai, China) in compliance with Good Manufacturing Practice (GMP) standards. The product for this study consisted of a single manufacturing batch (Batch No. 2103001) to ensure consistency. FLN is composed of 15 TCM substances, including 13 botanical drugs and 2 mineral substances. The detailed composition, including taxonomic validation against Plants of the World Online (POWO), medicinal parts, and daily dosages, is listed in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Composition of fulvning granules (FLN).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">No.</th>
<th align="left">Chinese name</th>
<th align="left">Botanical/Scientific name (Latin binomial)</th>
<th align="left">Family</th>
<th align="left">Drug name (pharmacopoeial)</th>
<th align="left">Daily dose (g)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">Dang Shen</td>
<td align="left">
<italic>Codonopsis pilosula</italic> (Franch.) Nannf.</td>
<td align="left">Campanulaceae</td>
<td align="left">Codonopsis Radix</td>
<td align="left">15</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">Mai Dong</td>
<td align="left">
<italic>Ophiopogon japonicus</italic> (Thunb.) Ker Gawl.</td>
<td align="left">Asparagaceae</td>
<td align="left">Ophiopogonis Radix</td>
<td align="left">12</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Wu Wei Zi</td>
<td align="left">
<italic>Schisandra chinensis</italic> (Turcz.) Baill.</td>
<td align="left">Schisandraceae</td>
<td align="left">Schisandrae Chinensis Fructus</td>
<td align="left">9</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">Huai Xiao Mai</td>
<td align="left">
<italic>Triticum aestivum</italic> L.</td>
<td align="left">Poaceae</td>
<td align="left">Tritici Levis Fructus</td>
<td align="left">30</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">Zhi Gan Cao</td>
<td align="left">
<italic>Glycyrrhiza uralensis</italic> Fisch. ex DC.</td>
<td align="left">Fabaceae</td>
<td align="left">Glycyrrhizae Radix et Rhizoma Praeparata</td>
<td align="left">6</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Da Zao</td>
<td align="left">
<italic>Ziziphus jujuba</italic> Mill.</td>
<td align="left">Rhamnaceae</td>
<td align="left">Jujubae Fructus</td>
<td align="left">9</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Tu Si Zi</td>
<td align="left">
<italic>Cuscuta chinensis</italic> Lam.</td>
<td align="left">Convolvulaceae</td>
<td align="left">Cuscutae Semen</td>
<td align="left">15</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">Gou Qi Zi</td>
<td align="left">
<italic>Lycium barbarum</italic> L.</td>
<td align="left">Solanaceae</td>
<td align="left">Lycii Fructus</td>
<td align="left">15</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Long Gu</td>
<td align="left">
<italic>Fossilia Ossis Mastodi</italic> (Mineral/Fossil)</td>
<td align="left">N/A</td>
<td align="left">Os Draconis</td>
<td align="left">30</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">Mu Li</td>
<td align="left">
<italic>Crassostrea gigas</italic> (Thunb.)</td>
<td align="left">Ostreidae</td>
<td align="left">Ostreae Concha</td>
<td align="left">30</td>
</tr>
<tr>
<td align="left">11</td>
<td align="left">Dan Shen</td>
<td align="left">
<italic>Salvia miltiorrhiza</italic> Bunge</td>
<td align="left">Lamiaceae</td>
<td align="left">Salviae Miltiorrhizae Radix et Rhizoma</td>
<td align="left">15</td>
</tr>
<tr>
<td align="left">12</td>
<td align="left">Huang Qin</td>
<td align="left">
<italic>Scutellaria baicalensis</italic> Georgi</td>
<td align="left">Lamiaceae</td>
<td align="left">Scutellariae Radix</td>
<td align="left">30</td>
</tr>
<tr>
<td align="left">13</td>
<td align="left">Ku Shen</td>
<td align="left">
<italic>Sophora flavescens</italic> Aiton</td>
<td align="left">Fabaceae</td>
<td align="left">Sophorae Flavescentis Radix</td>
<td align="left">15</td>
</tr>
<tr>
<td align="left">14</td>
<td align="left">Cha Shu Gen</td>
<td align="left">
<italic>Camellia sinensis</italic> (L.) Kuntze</td>
<td align="left">Theaceae</td>
<td align="left">Camelliae Radix</td>
<td align="left">15</td>
</tr>
<tr>
<td align="left">15</td>
<td align="left">Gua Lou Pi</td>
<td align="left">
<italic>Trichosanthes kirilowii</italic> Maxim.</td>
<td align="left">Cucurbitaceae</td>
<td align="left">Trichosanthis Pericarpium</td>
<td align="left">20</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Compliance with ethical and environmental standards:</p>
<p>None of the ingredients in FLN are derived from endangered species listed in the CITES Appendices or the IUCN Red List. All raw materials were ethically sourced from GAP-certified cultivation bases.</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Participants</title>
<p>AF diagnosis criteria were based on 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation (<xref ref-type="bibr" rid="B7">Hindricks et al., 2021</xref>). Eligible participants were aged 18 to 85, with at least one electrocardiogram (ECG) confirming AF and presenting clear symptoms of palpitations. The detailed inclusion and exclusion criteria were as follows.</p>
<p>Inclusion criteria: Inclusion criteria: (1) Aged 18&#x2013;85&#xa0;years; (2) Diagnosed with paroxysmal AF (&#x2265;2 episodes/month) or permanent AF, confirmed by at least one ECG; (3) Clear symptoms of palpitations; (4) Meets TCM syndrome diagnostic criteria; (5) Understands the study&#x2019;s purpose, adheres to research protocols, and voluntarily provides informed consent.</p>
<p>Exclusion criteria: (1) Severe primary diseases, including lung, liver, kidney, hematopoietic dysfunction, or severe heart dysfunction (NYHA Class IV); (2) AF with identifiable causes such as fatigue, mental stress, emotional fluctuations, drug toxicity, or electrolyte imbalance; (3) Mental illness or poorly controlled psychiatric disorders; (4) Heart rate &#x3c;50&#xa0;bpm due to conditions like sick sinus syndrome, atrioventricular block, or intraventricular conduction block (including those requiring a pacemaker); (5) Pregnant or lactating women; (6) Cachexia due to terminal-stage malignant tumors; (7) Participation in other TCM clinical studies in the past 3 months or unwillingness to discontinue other TCM treatments; (8) Inability to assess efficacy due to incomplete data or other factors. (9) Known allergy or hypersensitivity to any of the botanical drugs or excipients contained in the FLN formulation.</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Randomization and masking</title>
<sec id="s2-3-1">
<label>2.3.1</label>
<title>Randomization</title>
<p>This study uses a center-based stratification and block randomization method. The randomization sequence will be generated by study investigators who are statisticians. Patients will be allocated in a 1:1 ratio, aiming to balance baseline characteristics between the groups. Participants will be assigned a PID number, which will be used for subject identification throughout the study. Information regarding the random-number block will be delivered to the participating centers along with the intervention drugs.</p>
</sec>
<sec id="s2-3-2">
<label>2.3.2</label>
<title>Double-blind</title>
<p>The study is designed as a double-blind investigation. The participants, study monitors, and study investigators will be blinded throughout the duration of the study. The PID will be the only information linked to group allocation. Random codes will be maintained by Xuejun Cui, associate researcher, and director of the Office of National Traditional Chinese Medicine Clinical Research Base of Longhua Hospital to ensure concealment.</p>
</sec>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Sample size</title>
<p>The sample size of this study was calculated based on the analysis of data published in previous articles on the treatment of AF by Chinese medicine and the expected value of efficacy. It was assumed that the total efficacy rates in the study and control groups were 90.7% and 70.27%, respectively (<xref ref-type="bibr" rid="B5">HE et al., 2018</xref>). Thus, assuming &#x3b1; &#x3d; 0.05 and power &#x3d; 0.8, the calculated sample size required for each group is 54 cases, after substituting the above values in PASS 15 Considering that 20% will miss visits, the sample size is adjusted to 68 cases in each group, and a total of 136 cases.</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Screening and group assignment</title>
<p>All patients provided written informed consent before screening and enrollment. After meeting the initial criteria, participants entered a screening period (&#x2212;7 to 0&#xa0;days). Eligible patients were randomly assigned in a 1:1 ratio to the treatment group (FLN combined with standard western medicine) or the control group (Placebo combined with standard western medicine) for 4&#xa0;weeks.</p>
<p>Throughout the trial, all participants continued to receive GDMT, including anticoagulants, antiarrhythmic drugs, and myocardial energy metabolism drugs, strictly in accordance with the 2020 ESC Guidelines for the Diagnosis and Management of Atrial Fibrillation. To ensure the reliability of efficacy evaluation, patients were required to be on a stable regimen of these standard medical therapies for at least 2&#xa0;weeks prior to enrollment. The dosage of these background medications was kept stable during the intervention period unless a safety emergency required adjustment.</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Interventions</title>
<p>The FLN and placebo were produced and packed in a single batch (production batch number: FLN: 2103001; Placebo: 2103001) by Shanghai Baolong Pharmaceutical Co., Ltd., which has no conflicts of interest relevant to this study. The placebo is composed of 10% crude FLN and 90% starch, which have the same appearance and scent as the active treatment drugs. Participants took one bag of FLN or Placebo twice a day for 4&#xa0;weeks as an adjuvant therapy to their ongoing standard medical treatment. Concurrent use of other TCM was prohibited to avoid confounding effects.</p>
<p>Chemical Profiling and Quality Control of FLN: The chemical composition of FLN was characterized using UPLC-Q-TOF-MS (Waters H-Class combined with AB Sciex Triple TOF 4600). Chromatographic separation was achieved on a Welch Ultimate AQ-C18 column (100&#xa0;mm &#xd7; 2.1&#xa0;mm, 1.8&#xa0;&#x3bc;m) using an acetonitrile and 0.1% formic acid gradient. Mass spectrometry was operated in both ESI&#x2b; and ESI- modes (m/z 50&#x2013;1,500). Compounds were identified by matching accurate mass (error &#x3c; 5&#xa0;ppm) and MS/MS fragments against the Standard Natural Product HR-MS Database and literature. A total of 23 major compounds (e.g., Matrine, Baicalin, and Salvianolic acid B) were identified. Detailed analytical conditions, the annotated Total Ion Chromatogram (TIC), and the compound list are provided in <xref ref-type="sec" rid="s14">Supplementary Figure S1</xref>, and <xref ref-type="sec" rid="s14">Supplementary Tables S1, S2</xref>.</p>
</sec>
<sec id="s2-7">
<label>2.7</label>
<title>Outcome</title>
<sec id="s2-7-1">
<label>2.7.1</label>
<title>Primary outcome</title>
<p>A 24-h Holter monitor was used to assess cardiac electrical activity, including the total duration and proportion of time in AF, episodes of ectopic atrial tachycardia, total heartbeats over 24&#xa0;h, and the average ventricular rate before and after treatment. The efficacy evaluation criteria are as follows.</p>
<sec id="s2-7-1-1">
<label>2.7.1.1</label>
<title>Paroxysmal AF</title>
<p>Clinical Control: No atrial fibrillation episodes confirmed by instrumental examination during treatment.</p>
<p>Markedly Effective: Atrial fibrillation episodes occur during treatment, but the frequency decreases by &#x2265;70% compared to pre-treatment.</p>
<p>Effective: Atrial fibrillation episodes occur during treatment, but the frequency decreases by &#x2265;50% and &#x3c;70% compared to pre-treatment.</p>
<p>Ineffective: Atrial fibrillation episodes decrease by &#x3c;50% or increase compared to pre-treatment.</p>
</sec>
<sec id="s2-7-1-2">
<label>2.7.1.2</label>
<title>Permanent AF</title>
<p>Significant Effect: 24-h average ventricular rate of 60&#x2013;80 beats/min or a reduction of &#x2265;20 beats/min.</p>
<p>Effective: 24-h average ventricular rate of 81&#x2013;90 beats/min or a reduction of &#x3c;20 beats/min.</p>
<p>Ineffective: No reduction or an increase in ventricular rate.</p>
</sec>
</sec>
<sec id="s2-7-2">
<label>2.7.2</label>
<title>Secondary outcomes</title>
<sec id="s2-7-2-1">
<label>2.7.2.1</label>
<title>Frequency and duration of heart palpitation episodes</title>
<p>Each participant received a pre-designed booklet to record the frequency and duration of heart palpitations. Comprehensive instructions were provided to ensure accurate and consistent self-recording.</p>
</sec>
<sec id="s2-7-2-2">
<label>2.7.2.2</label>
<title>Cardiac structure and function</title>
<p>Echocardiography assessed left atrial diameter (LAD), left ventricular end-diastolic diameter (LVEDD), left ventricular stroke volume (LVSV), and ejection fraction (LVEF). NT-pro BNP levels were measured as a sensitive biomarker of heart failure, which is commonly associated with atrial fibrillation.</p>
</sec>
<sec id="s2-7-2-3">
<label>2.7.2.3</label>
<title>HAMA, HAMD and SF-36</title>
<p>HAMA and HAMD were used to assess the severity of anxiety and depression, respectively, while SF-36 measured patients&#x2019; quality of life.</p>
</sec>
<sec id="s2-7-2-4">
<label>2.7.2.4</label>
<title>Metabolomic profiling of serum samples using LC-MS/MS</title>
<p>Whole blood was collected from patients using EDTA anticoagulant tubes and centrifuged at 3,000&#xa0;rpm for 10&#xa0;min at room temperature within 1&#xa0;h of collection. The supernatant was aliquoted into 1.5&#xa0;mL centrifuge tubes at 0.2&#xa0;mL per tube and stored at &#x2212;80&#xa0;&#xb0;C. Samples were shipped on dry ice. Metabolomic analysis was conducted by Shanghai Biotree Biomedical Technology Co., Ltd. (BIOTREE).</p>
</sec>
</sec>
<sec id="s2-7-3">
<label>2.7.3</label>
<title>Adverse events</title>
<p>Safety monitoring was conducted throughout the study. Adverse events (AEs) were recorded and managed according to clinical judgment. Serious adverse events (SAEs) were reported to the institutional ethics committee in accordance with local regulations. Safety evaluation included routine blood tests, liver and kidney function tests, electrolyte analysis, and urinalysis.</p>
</sec>
</sec>
<sec id="s2-8">
<label>2.8</label>
<title>Data management and monitoring</title>
<p>Data were collected and managed using the Redcap electronic data capture tools hosted on the Longhua Hospital platform. The Shenkang Center ensures data authenticity, traceability, and security through integration with the CRIP data platform. CRAs oversee study management, including researcher qualifications, project ethics, data integrity, and adverse event reporting. Paper-based Case Report Forms (CRFs) are maintained for informed consent and interview scales. Personal medical records are accessible only to the investigator, who signs a confidentiality agreement. Data are processed anonymously, with any identifiable information omitted. The project management group meets monthly to review trial conduct, while the GCP office and ethics committee meet biannually. The Shenkang Center conducts an annual audit to verify data consistency and ensure compliance with protocols. Unauthorized changes are deemed invalid.</p>
</sec>
<sec id="s2-9">
<label>2.9</label>
<title>Statistical analysis</title>
<p>The full analysis set (FAS) was used for baseline characteristics analysis, while the per-protocol set (PPS) was used for all primary and secondary efficacy endpoint analyses. Safety analyses were conducted using the safety set (SS). Continuous variables were presented as means &#xb1; standard deviations (SDs) or medians with interquartile ranges (IQRs). All data were exported from the REDCap electronic CRF system and analyzed using SPSS 24.0 statistical software. For measurement data that follow a normal distribution, t-tests were performed, and results were expressed as mean &#xb1; SD. For data that do not follow a normal distribution, anon-parametric test (rank-sum test) was used, with results presented as median (IQR). The &#x3c7;<sup>2</sup> test was used for categorical data, and the rank-sum test was applied for ordered categorical data. A two-sided test was used, with <italic>P</italic> &#x3e; 0.05 indicating no statistical significance and <italic>P</italic> &#x3c; 0.05 indicating statistical significance.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>Participants and baseline characteristics</title>
<p>From 25 March 2021 through 2 March 2023, a total of 168 patients were invited to participate, 32 patients either did not respond or did not meet the eligibility criteria. The remaining 136 participants completed the initial eligibility assessment and were randomly assigned to either the FLN group (n &#x3d; 68) or the placebo group (n &#x3d; 68). During the study, 23 participants were lost to follow-up due to reasons such as pandemic-related quarantine measures or long travel distances, resulting in 113 participants successfully completing the intervention, which remained within a controllable and acceptable range (<xref ref-type="fig" rid="F1">Figure 1</xref>). Among them, 56 were in the FLN group and 57 participants were in the placebo group. A total of 72 participants had paroxysmal AF (37 in the placebo group and 35 in the treatment group), while 41 participants had permanent AF (20 in the placebo group and 21 in the treatment group) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The flow chart of the clinical procedures through the study.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g001.tif">
<alt-text content-type="machine-generated">Flowchart diagram showing a clinical trial process: 158 participants recruited, 38 excluded, 120 consented and randomized, divided into FLN and placebo groups, some withdrawals, one-month treatment, outcomes evaluated, and analysis performed for efficacy, safety, and mechanisms of action.</alt-text>
</graphic>
</fig>
<p>Comparison of the FLN and placebo groups showed no significant differences at baseline in demographic characteristics, clinical characteristics and concomitant use of therapies (<italic>P</italic> &#x3e; 0.05) (<xref ref-type="table" rid="T2">Table 2</xref>). Thus, the baseline characteristics of the FLN and placebo groups in this study were balanced and comparable.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Baseline characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="center">Parameters</th>
<th align="center">FLN (n &#x3d; 56)</th>
<th align="center">Placebo (n &#x3d; 55)</th>
<th align="left">
<italic>P-</italic>value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Demographics</td>
</tr>
<tr>
<td rowspan="2" align="center">Type of AF (n (%))</td>
<td align="center">Paroxysmal AF</td>
<td align="center">35</td>
<td align="center">37</td>
<td rowspan="2" align="center">0.790</td>
</tr>
<tr>
<td align="center">Permanent AF</td>
<td align="center">21</td>
<td align="center">20</td>
</tr>
<tr>
<td colspan="2" align="center">Age (years)</td>
<td align="center">69.50 (65.00,77.00)</td>
<td align="center">70.00 (64.00,76.00)</td>
<td align="center">0.944</td>
</tr>
<tr>
<td colspan="2" align="center">Male sex (n (%))</td>
<td align="center">27 (48.2)</td>
<td align="center">31 (56.4)</td>
<td align="center">0.512</td>
</tr>
<tr>
<td colspan="2" align="center">Body mass index<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>(kg m<sup>-2</sup>)</td>
<td align="center">22.68 (20.93,24.40)</td>
<td align="center">23.15 (21.23,25.10)</td>
<td align="center">0.185</td>
</tr>
<tr>
<td colspan="2" align="center">Tympanic temperature (<styled-content style="color:#040C28">&#xb0;C</styled-content>)</td>
<td align="center">36.80 (36.80,36.90)</td>
<td align="center">36.70 (36.60,36.80)</td>
<td align="center">0.380</td>
</tr>
<tr>
<td colspan="2" align="center">Systolic BP(mmHg)</td>
<td align="center">124.50 (118.00,126.50)</td>
<td align="center">125.00 (118.00,127.00)</td>
<td align="center">0.526</td>
</tr>
<tr>
<td colspan="2" align="center">Diastolic BP(mmHg)</td>
<td align="center">75.00 (75.00,78.00)</td>
<td align="center">75.00 (75.00,78.00)</td>
<td align="center">0.959</td>
</tr>
<tr>
<td colspan="2" align="center">Resting heart rate (beats/min)</td>
<td align="center">79.00 (72.00,95.00)</td>
<td align="center">85.00 (75.00,98.00)</td>
<td align="center">0.257</td>
</tr>
<tr>
<td colspan="2" align="center">Resting respiratory rate (beats/min)</td>
<td align="center">19.00 (19.00,19.00)</td>
<td align="center">19.00 (19.00,19.00)</td>
<td align="center">0.340</td>
</tr>
<tr>
<td colspan="2" align="center">Disease duration (months)</td>
<td align="center">30.00 (6.25,72.00)</td>
<td align="center">24.00 (12.00,60.00)</td>
<td align="center">0.444</td>
</tr>
<tr>
<td colspan="2" align="center">Smoking (n (%))</td>
<td align="center">18 (32.1)</td>
<td align="center">22 (40.0)</td>
<td align="center">0.389</td>
</tr>
<tr>
<td colspan="2" align="center">Alcohol consumption</td>
<td align="center">22 (39.3)</td>
<td align="center">26 (47.3)</td>
<td align="center">0.396</td>
</tr>
<tr>
<td colspan="2" align="center">CHA<sub>2</sub>DS<sub>2</sub>-VASc score</td>
<td align="center">2.50 (2.00,4.00)</td>
<td align="center">2.00 (2.00,3.00)</td>
<td align="center">0.998</td>
</tr>
<tr>
<td colspan="2" align="center">HAS-BLED score</td>
<td align="center">1.00 (1.00,2.00)</td>
<td align="center">1.00 (1.00,2.00)</td>
<td align="center">0.797</td>
</tr>
<tr>
<td colspan="2" align="center">ECG ventricular rate (beats/min)</td>
<td align="center">89.00 (70.25,113.25)</td>
<td align="center">91.00 (76.00,107.00)</td>
<td align="center">0.695</td>
</tr>
<tr>
<td colspan="5" align="left">Comorbidities</td>
</tr>
<tr>
<td colspan="2" align="center">Hypertension (n (%))</td>
<td align="center">35 (62.5)</td>
<td align="center">30 (54.5)</td>
<td align="center">0.395</td>
</tr>
<tr>
<td colspan="2" align="center">Coronary heart disease</td>
<td align="center">12 (21.4)</td>
<td align="center">10 (18.2)</td>
<td align="center">0.668</td>
</tr>
<tr>
<td colspan="2" align="center">Diabetes mellitus</td>
<td align="center">10 (17.9)</td>
<td align="center">11 (20.0)</td>
<td align="center">0.773</td>
</tr>
<tr>
<td colspan="2" align="center">Hyperlipidemia</td>
<td align="center">9 (16.1)</td>
<td align="center">11 (20.0)</td>
<td align="center">0.590</td>
</tr>
<tr>
<td colspan="2" align="center">Valvular disease</td>
<td align="center">3 (5.4)</td>
<td align="center">1 (1.8)</td>
<td align="center">0.623</td>
</tr>
<tr>
<td colspan="2" align="center">Myocarditis</td>
<td align="center">0 (0.0)</td>
<td align="center">2 (3.6)</td>
<td align="center">0.468</td>
</tr>
<tr>
<td colspan="2" align="center">Cardiomyopathy</td>
<td align="center">2 (3.6)</td>
<td align="center">0 (0.0)</td>
<td align="center">0.483</td>
</tr>
<tr>
<td colspan="5" align="left">Concomitant therapy</td>
</tr>
<tr>
<td colspan="2" align="center">Warfarin</td>
<td align="center">10</td>
<td align="center">7</td>
<td align="center">0.453</td>
</tr>
<tr>
<td colspan="2" align="center">Dabigatran</td>
<td align="center">2</td>
<td align="center">4</td>
<td align="center">0.658</td>
</tr>
<tr>
<td colspan="2" align="center">Rivaroxaban</td>
<td align="center">26</td>
<td align="center">28</td>
<td align="center">0.637</td>
</tr>
<tr>
<td colspan="2" align="center">Edoxaban</td>
<td align="center">4</td>
<td align="center">4</td>
<td align="center">1.000</td>
</tr>
<tr>
<td colspan="2" align="center">Propafenone</td>
<td align="center">4</td>
<td align="center">6</td>
<td align="center">0.718</td>
</tr>
<tr>
<td colspan="2" align="center">Amiodarone</td>
<td align="center">8</td>
<td align="center">6</td>
<td align="center">0.592</td>
</tr>
<tr>
<td colspan="2" align="center">Sotalol</td>
<td align="center">2</td>
<td align="center">3</td>
<td align="center">0.984</td>
</tr>
<tr>
<td colspan="2" align="center">Bisoprolol</td>
<td align="center">5</td>
<td align="center">8</td>
<td align="center">0.358</td>
</tr>
<tr>
<td colspan="2" align="center">Metoprolol succinate</td>
<td align="center">22</td>
<td align="center">23</td>
<td align="center">0.235</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>The body mass index was calculated as weight (kg) divided by the square of height (m).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Primary outcomes</title>
<p>The primary endpoint was the AF control rate, assessed by 24-h Holter monitoring. As shown in <xref ref-type="fig" rid="F2">Figure 2</xref>, AF was effectively controlled in 78.57% of patients receiving FLN, compared to 54.39% in the control group, with a statistically significant difference (<italic>P</italic> &#x3d; 0.001). Among patients with paroxysmal AF, the control rates were 77.14% with FLN and 55.00% in the control group (<italic>P</italic> &#x3d; 0.018), while in those with permanent AF, the rates were 80.95% and 61.11%, respectively (<italic>P</italic> &#x3d; 0.035). These findings suggest that the therapeutic effect of FLN was observed in both paroxysmal and permanent AF (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Effective Control Rates in Patients With Atrial Fibrillation. Comparison between groups: <sup>&#x23;</sup>
<italic>P</italic> &#x3c; 0.05 and <sup>&#x23;&#x23;&#x23;</sup>
<italic>P</italic> &#x3c; 0.001.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g002.tif">
<alt-text content-type="machine-generated">Horizontal bar chart comparing Placebo and FLN groups in Permanent AF, Paroxysmal AF, and Total AF. FLN consistently shows higher percentages: Permanent AF Placebo 55%, FLN 80.95%; Paroxysmal AF Placebo 54.05%, FLN 77.14%; Total AF Placebo 54.39%, FLN 78.57%. Statistical significance indicated as #, ##, and ###. Legend identifies yellow bars as Placebo and blue bars as FLN.</alt-text>
</graphic>
</fig>
<p>To better understand which specific Holter parameters contributed to these improvements, we analyzed key electrophysiological data. Holter monitoring revealed that in patients with paroxysmal AF, the total number of beats did not differ significantly within or between groups (<italic>P</italic> &#x3e; 0.05). However, AF duration, the average proportion of AF episodes, and mean heart rate were significantly improved (<italic>P</italic> &#x3c; 0.05), with the treatment group demonstrating greater reductions in AF duration and episode proportion compared to the control group. In patients with permanent AF, the mean heart rate recorded by Holter after treatment showed a significant intergroup difference (<italic>P</italic> &#x3c; 0.05), suggesting that FLN was more effective than placebo in lowering heart rate (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Comparison of Holter Data. <bold>(A)</bold> Total Number of Heartbeats in Paroxysmal AF; <bold>(B)</bold> Duration of Paroxysmal AF; <bold>(C)</bold> Proportion of AF in Paroxysmal AF; <bold>(D)</bold> Average heart rates of Paroxysmal AF; <bold>(E)</bold> Average heart rates of Permanent AF. Comparison within group: <sup>&#x2a;</sup>P &#x3c; 0.05, <sup>&#x2a;&#x2a;</sup>
<italic>P</italic> &#x3c; 0.01 and <sup>&#x2a;&#x2a;&#x2a;</sup>
<italic>P</italic> &#x3c; 0.001; Comparison between groups: <sup>&#x23;</sup>
<italic>P</italic> &#x3c; 0.05 and <sup>&#x23;&#x23;</sup>
<italic>P</italic> &#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g003.tif">
<alt-text content-type="machine-generated">Five bar graphs labeled A to E compare placebo (yellow bars) and FLN (blue bars) effects before and after treatment on paroxysmal and permanent atrial fibrillation (AF) metrics, including total heartbeats, duration, proportion, and average heart rates. Significant differences are indicated with asterisks and hash marks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Secondary outcomes</title>
<sec id="s3-3-1">
<label>3.3.1</label>
<title>Frequency and duration of heart palpitation episodes</title>
<p>After treatment, comparisons between the two groups showed FLN significantly reduced both the frequency (<italic>P</italic> &#x3d; 0.035) and duration (<italic>P</italic> &#x3d; 0.047) (<xref ref-type="table" rid="T3">Table 3</xref>) of palpitations compared to the placebo group. Specifically, the FLN group showed a greater reduction in both the frequency and duration of palpitations, with these differences being statistically significant (<italic>P</italic> &#x3c; 0.01). These findings indicate that FLN is more effective than the placebo in reducing both the frequency and duration of palpitations in patients with AF.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Comparison of palpitation in paroxysmal AF [M (Q1, Q3)] (times/month, min/month).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Index</th>
<th rowspan="2" align="center">Group</th>
<th rowspan="2" align="center">Pre-treatment</th>
<th rowspan="2" align="center">After treatment</th>
<th colspan="2" align="center">within a group</th>
<th colspan="2" align="center">intergroup</th>
</tr>
<tr>
<th align="center">Z</th>
<th align="center">
<italic>P -</italic>value</th>
<th align="center">Z</th>
<th align="center">
<italic>P-</italic>value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="center">Number of palpitation episodes</td>
<td align="left">Placebo</td>
<td align="center">5.00 (3.00,6.00)</td>
<td align="center">4.00 (2.00,6.00)</td>
<td align="center">&#x2212;1.934</td>
<td align="left">0.053</td>
<td rowspan="2" align="center">&#x2212;2.110</td>
<td rowspan="2" align="center">0.035<sup>&#x23;</sup>
</td>
</tr>
<tr>
<td align="left">FLN</td>
<td align="center">5.00 (4.00,8.00)</td>
<td align="center">3.00 (0.00,5.00)</td>
<td align="center">&#x2212;4.953</td>
<td align="left">0.000<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td rowspan="2" align="center">Palpitation duration</td>
<td align="left">Placebo</td>
<td align="center">60.00 (30.00,120.00)</td>
<td align="center">55.00 (22.50,120.00)</td>
<td align="center">&#x2212;0.989</td>
<td align="left">0.323</td>
<td rowspan="2" align="left">&#x2212;1.983</td>
<td rowspan="2" align="center">0.047<sup>&#x23;</sup>
</td>
</tr>
<tr>
<td align="left">FLN</td>
<td align="center">60.00 (30.00,120.00)</td>
<td align="center">20.00 (0.00,75.00)</td>
<td align="center">&#x2212;5.021</td>
<td align="left">0.000<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Comparison within group: <sup>&#x2a;</sup>
<italic>P</italic> &#x3c; 0.05, <sup>&#x2a;&#x2a;</sup>
<italic>P</italic> &#x3c; 0.01 and <sup>&#x2a;&#x2a;<italic>&#x2a;</italic>
</sup>
<italic>P</italic> &#x3c; 0.001; Comparison between groups: <sup>&#x23;</sup>
<italic>P</italic> &#x3c; 0.05 and <sup>&#x23;&#x23;</sup>
<italic>P</italic> &#x3c; 0.01.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3-2">
<label>3.3.2</label>
<title>Cardiac function and biomarkers</title>
<p>We assessed cardiac structure through echocardiography (LAD, LVEDD, LVSV) and cardiac function using both echocardiographic LVEF and NT-pro BNP levels before and after treatment. The study found no significant differences between the FLN and placebo groups (<italic>P</italic> &#x3e; 0.05). Both intergroup echocardiographic parameters (<xref ref-type="fig" rid="F4">Figure 4</xref>) and NT-pro BNP levels (<xref ref-type="table" rid="T4">Table 4</xref>) were comparable.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Analysis of cardiac ultrasound indicators. <bold>(A)</bold> LAD; <bold>(B)</bold> LVEDD; <bold>(C)</bold> LVEF; <bold>(D)</bold> LVSV. Comparison within group: <sup>&#x2a;</sup>
<italic>P</italic> &#x3c; 0.05.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g004.tif">
<alt-text content-type="machine-generated">Bar graph with four panels labeled A to D comparing Placebo and FLN groups before and after intervention for LAD, LVEDD, LVEF, and LVSV. Panels A and B show significant decreases in LAD and LVEDD after FLN, marked with an asterisk, while panels C and D show no significant changes in LVEF and LVSV. Error bars represent variability, and a legend differentiates groups.</alt-text>
</graphic>
</fig>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Comparison of NT-proBNP in AF [M (Q1, Q3)].</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Research indicators</th>
<th align="center">time</th>
<th align="center">FLN (n &#x3d; 56)</th>
<th align="center">Placebo (n &#x3d; 55)</th>
<th align="left">
<italic>P -</italic>value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">NT-proBNP</td>
<td align="left">Pre-treatment</td>
<td align="center">554.50 (246.00,1157.50)</td>
<td align="center">747.00 (302.00,1270.00)</td>
<td align="center">0.434</td>
</tr>
<tr>
<td align="left">After-treatment</td>
<td align="center">656.00 (184.75,1827.50)</td>
<td align="center">750.00 (231.00,1260.00)</td>
<td align="center">0.737</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3-3">
<label>3.3.3</label>
<title>Impact of treatment on anxiety, depression, and quality of life in AF patients</title>
<p>After treatment, comparisons between the two groups of AF patients showed no significant statistical differences in HAMA, HAMD, or SF-36 (<xref ref-type="fig" rid="F5">Figure 5</xref>), although a trend toward greater improvement was observed in the treatment group. To clarify this finding, we analyzed patients with paroxysmal and permanent AF separately. In paroxysmal AF, improvements in HAMA, HAMD, and SF-36 were significantly greater in the treatment group than in the control group (<italic>P</italic> &#x3c; 0.05). In permanent AF, while HAMA and HAMD showed no statistical differences, the treatment group demonstrated significantly greater improvement in SF-36 compared with the control group (<italic>P</italic> &#x3c; 0.05) (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Indicator analysis of Hamilton Anxiety, Depression Scale, SF-36 Quality of Life Scale in AF. <bold>(A)</bold> HAMA; <bold>(B)</bold> HAMD; <bold>(C)</bold> SF-36.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g005.tif">
<alt-text content-type="machine-generated">Bar chart with three panels labeled A, B, and C compares Placebo and FLN groups before and after treatment. Panel A shows HAMA scores, panel B shows HAMD scores, and panel C shows SF36 scores. Yellow bars represent Placebo, blue bars represent FLN. Significant differences are marked with asterisks and hashtags.</alt-text>
</graphic>
</fig>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Comparison of HAMA, HAMD and SF-36 [M(Q1,Q3)].</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Index</th>
<th rowspan="2" align="left">Type of AF</th>
<th rowspan="2" align="left">Group</th>
<th rowspan="2" align="center">Pre-treatment</th>
<th rowspan="2" align="center">After treatment</th>
<th colspan="2" align="left">within a group</th>
<th colspan="2" align="center">intergroup</th>
</tr>
<tr>
<th align="center">Z</th>
<th align="center">P</th>
<th align="center">Z</th>
<th align="center">P</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="center">HAMA</td>
<td rowspan="2" align="center">Paroxysmal AF</td>
<td align="center">Placebo</td>
<td align="center">6.00 (5.00,8.00)</td>
<td align="center">5.00 (4.00,6.00)</td>
<td align="center">&#x2212;3.563</td>
<td align="center">0.000<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
<td rowspan="2" align="center">&#x2212;2.109</td>
<td rowspan="2" align="center">0.035<sup>&#x23;</sup>
</td>
</tr>
<tr>
<td align="center">FLN</td>
<td align="center">6.00 (4.00,8.00)</td>
<td align="center">4.00 (3.00,6.00)</td>
<td align="center">&#x2212;4.229</td>
<td align="center">0.000<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td rowspan="2" align="center">Permanent AF</td>
<td align="center">Placebo</td>
<td align="center">4.50 (2.75,6.25)</td>
<td align="center">4.50 (1.50,5.00)</td>
<td align="center">2.179</td>
<td align="center">0.044<sup>&#x2a;</sup>
</td>
<td rowspan="2" align="center">&#x2212;1.298</td>
<td rowspan="2" align="center">0.194</td>
</tr>
<tr>
<td align="center">FLN</td>
<td align="center">6.00 (4.00,7.50)</td>
<td align="center">5.00 (4.00,7.00)</td>
<td align="center">&#x2212;2.085</td>
<td align="center">0.037<sup>&#x2a;</sup>
</td>
</tr>
<tr>
<td rowspan="4" align="center">HAMD</td>
<td rowspan="2" align="center">Paroxysmal AF</td>
<td align="center">Placebo</td>
<td align="center">2.00 (1.00,3.50)</td>
<td align="center">2.00 (1.00,3.50)</td>
<td align="center">&#x2212;0.684</td>
<td align="center">0.494</td>
<td rowspan="2" align="left">&#x2212;2.015</td>
<td rowspan="2" align="left">0.044<sup>&#x23;</sup>
</td>
</tr>
<tr>
<td align="center">FLN</td>
<td align="center">3.00 (1.00,4.00)</td>
<td align="center">2.00 (1.00,3.00)</td>
<td align="center">&#x2212;3.255</td>
<td align="center">0.001<sup>&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td rowspan="2" align="center">Permanent AF</td>
<td align="center">Placebo</td>
<td align="center">1.50 (1.00,2.25)</td>
<td align="center">1.50 (0.00,3.00)</td>
<td align="center">&#x2212;0.052</td>
<td align="center">0.959</td>
<td rowspan="2" align="left">&#x2212;1.231</td>
<td rowspan="2" align="left">0.218</td>
</tr>
<tr>
<td align="center">FLN</td>
<td align="center">2.00 (1.50,4.00)</td>
<td align="center">2.00 (1.00,4.00)</td>
<td align="center">&#x2212;0.525</td>
<td align="center">0.599</td>
</tr>
<tr>
<td rowspan="4" align="center">SF-36</td>
<td rowspan="2" align="center">Paroxysmal AF</td>
<td align="center">Placebo</td>
<td align="center">119.20 (111.40,123.90)</td>
<td align="center">123.40 (112.90,127.20)</td>
<td align="center">&#x2212;2.281</td>
<td align="center">0.029<sup>&#x2a;</sup>
</td>
<td rowspan="2" align="center">&#x2212;2.104</td>
<td rowspan="2" align="center">0.035<sup>&#x23;</sup>
</td>
</tr>
<tr>
<td align="center">FLN</td>
<td align="center">117.40 (111.40,124.40)</td>
<td align="center">124.40 (122.40,129.00)</td>
<td align="center">&#x2212;4.738</td>
<td align="center">0.000<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
<tr>
<td rowspan="2" align="center">Permanent AF</td>
<td align="center">Placebo</td>
<td align="center">122.00 (115.40,125.50)</td>
<td align="left">123.20 (116.40, 124.80)</td>
<td align="center">&#x2212;0.600</td>
<td align="center">0.549</td>
<td rowspan="2" align="center">0.038</td>
<td rowspan="2" align="center">0.031<sup>&#x23;</sup>
</td>
</tr>
<tr>
<td align="center">FLN</td>
<td align="center">120.00 (113.40,124.40)</td>
<td align="center">124.40 (120.90,129.70)</td>
<td align="center">&#x2212;4.630</td>
<td align="center">0.000<sup>&#x2a;&#x2a;&#x2a;</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Comparison within group: <sup>&#x2a;</sup>
<italic>P</italic> &#x3c; 0.05, <sup>&#x2a;&#x2a;</sup>
<italic>P</italic> &#x3c; 0.01 and <sup>&#x2a;&#x2a;&#x2a;</sup>
<italic>P</italic> &#x3c; 0.001; Comparison between groups: <sup>&#x23;</sup>
<italic>P</italic> &#x3c; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3-4">
<label>3.3.4</label>
<title>Metabolic profiling of plasma</title>
<p>Plasma samples from AF patients before and after oral administration of FLN were analyzed using metabolomics. Samples were classified as treat-F (pre-treatment) and treat-L (post-treatment), with 21 biological replicates per group, yielding a total of 42 samples.</p>
<p>Experimental data were preprocessed and subjected to principal metabolite analysis (PCA) to assess overall metabolic differences. The three-dimensional PCA score plot (<xref ref-type="fig" rid="F6">Figure 6A</xref>) showed that most samples fell within the 95% confidence interval, suggesting similar metabolite types and levels, with minimal overall metabolic variation.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Basic data analysis. <bold>(A)</bold> 3D PCA scores between treat-F vs. treat-L. <bold>(B)</bold> Volcano plot between treat-F vs. treat-L. treat-F &#x3d; pre-FLN; treat-L &#x3d; post-FLN.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g006.tif">
<alt-text content-type="machine-generated">Three-dimensional scatter plot (panel A) shows data separation by treatment with purple diamonds for treat-F and orange circles for treat-L, plotted along PC1, PC2, and PC3 axes displaying percentage variance. Volcano plot (panel B) visualizes differentially expressed metabolites, with log2 fold change on the x-axis and negative log10 P-value on the y-axis. Red, blue, and gray circles indicate up-regulated, down-regulated, and not significant metabolites, respectively; larger circles correspond to greater VIP values. Notable labeled metabolites include Lutein and L-Acetylcarnitine. Legend explains color and size coding for status and variable importance.</alt-text>
</graphic>
</fig>
<p>Differential metabolites were identified through univariate statistical analysis. A total of 8,720 metabolites were detected across both groups, with 687 showing significant differences&#x2014;570 upregulated and 117 downregulated. Volcano plots (<xref ref-type="fig" rid="F6">Figure 6B</xref>) visualized the overall distribution of these differential metabolites. Further hierarchical clustering analysis, incorporating p-values and fold changes, was performed to highlight significant differences (<xref ref-type="fig" rid="F7">Figures 7A&#x2013;C</xref>). Among the upregulated metabolites, Lutein exhibited the most significant increase (<italic>P</italic> &#x3c; 0.001), while Biliverdin, Citbismine A, LysoPC (22:0), Dodecanoylcarnitine, L-Octanoylcarnitine, Decanoylcarnitine, 1-Phenyl-1,3-heptadecanedione, Genistein 4&#x2032;-O-glucuronide, and Rhein 8-Glucoside also showed significant upregulation (<italic>P</italic> &#x3c; 0.05). Conversely, Benzoic acid, Methyl butyrate, and Alnustone were among the most significantly downregulated metabolites (0.001 &#x3c; <italic>P</italic> &#x3c; 0.01), alongside 3-Amino-2-piperidone, 4-Methylcatechol, Ornithine, Thiomorpholine-3-carboxylate, Succinic acid semialdehyde, D-Ornithine, Mafenide (Acetate), and Methyl butyrate (<italic>P</italic> &#x3c; 0.05).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Untargeted Metabolomics. <bold>(A)</bold> Heatmap of hierarchical clustering analysis for group treat-F vs. treat-L; <bold>(B)</bold> Boxplot analysis for group treat-F vs. treat-L; <bold>(C)</bold> Matchstick analysis comparing treat-F and treat-L groups displayed the top 10 up- and downregulated metabolites ranked by fold-change. treat-F &#x3d; pre-FLN; treat-L &#x3d; post-FLN. <sup>&#x2a;</sup>0.01 &#x3c; <italic>P</italic> &#x3c; 0.05, <sup>&#x2a;&#x2a;</sup> 0.001 &#x3c; <italic>P</italic> &#x3c; 0.01, <sup>&#x2a;&#x2a;&#x2a;</sup>
<italic>P</italic> &#x3c; 0.001.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g007.tif">
<alt-text content-type="machine-generated">Panel A contains a heatmap showing hierarchical clustering of metabolites with rows representing metabolite names and columns representing samples, colored from blue to red by value. Panel B displays multiple box plots comparing individual metabolite concentrations between two groups, labeled as treat_F and treat_A. Panel C shows a horizontal bar chart of log two fold change in metabolite levels, with red bars for up-regulated and blue bars for down-regulated metabolites, and marker sizes representing VIP scores.</alt-text>
</graphic>
</fig>
<p>KEGG enrichment analysis was performed to classify differential metabolites (<xref ref-type="fig" rid="F8">Figure 8A</xref>), assess their pathway enrichment (<xref ref-type="fig" rid="F8">Figure 8B</xref>), and analyze their differential abundance (<xref ref-type="fig" rid="F8">Figure 8C</xref>). A total of 15 KEGG pathways were identified. Notably, Glycerophospholipid metabolism (lipid metabolism) and Choline metabolism in cancer (cancer overview) exhibited the highest proportion of annotated differential metabolites (23.08%). Both pathways showed significant enrichment (<italic>P</italic> &#x3c; 0.02), with all associated differential metabolites being upregulated.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>KEGG enrichment analysis of differential metabolites. <bold>(A)</bold> KEGG Classification for group treat-F vs. treat-L; <bold>(B)</bold> KEGG Enrichment for group treat-F vs. treat-L; <bold>(C)</bold> Differential Abundance Score for group treat-F vs. treat-L.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g008.tif">
<alt-text content-type="machine-generated">Panel A displays a horizontal bar chart showing KEGG pathway classification by percentage with pathways color-coded by class. Panel B features a bubble plot illustrating KEGG pathways, rich factor, p-values, and count, with bubbles colored and sized accordingly. Panel C provides a dot plot of KEGG pathways highlighting differential abundance score, count, and class, using colored dots and a horizontal axis for DA scores.</alt-text>
</graphic>
</fig>
<p>After comprehensive analysis and screening of the pathways of differential metabolites, the key pathways with high correlation with metabolite differences could be found, and the results of the study showed that two metabolic pathways, Synthesis and degradation of ketone bodies and Butanoate metabolism, had a significant intervention effect (<italic>P</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F9">Figure 9</xref>). This suggests that energy metabolism is likely to be closely linked to the mechanisms by which FLN improves AF.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Metabolic pathway analysis of differential metabolites. <bold>(A,B)</bold> Pathway analysis for group treat-F vs. treat-L. The significance of enrichment is represented by -ln(<italic>P</italic>) values, where larger values/darker colors indicate a higher degree of statistical significance (ln <italic>P</italic> &#x3e; 2.99 corresponds to <italic>P</italic> &#x3c; 0.05).</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g009.tif">
<alt-text content-type="machine-generated">Panel A shows a scatter plot with metabolic pathways labeled as circles, where color intensity indicates higher negative log P-value and circle size shows impact; key pathways include butanoate metabolism and synthesis and degradation of ketone bodies. Panel B displays a treemap of metabolic pathways, where area and color intensity represent significance, emphasizing synthesis and degradation of ketone bodies, steroid hormone biosynthesis, and butanoate metabolism.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3-5">
<label>3.3.5</label>
<title>Adverse events</title>
<p>Analysis of safety indicators such as blood routine, liver function, renal function, and international normalized ratio (INR) of patients in the FLN group and the placebo group before and after treatment revealed that the differences between the groups before and after treatment were not statistically significant (<italic>P</italic> &#x3c; 0.05) (<xref ref-type="fig" rid="F10">Figure 10</xref>), indicating compliance with the basic safety evaluation. No serious adverse events were reported during the study period (<xref ref-type="fig" rid="F11">Figure 11</xref>).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Analysis of security indicators. <bold>(A&#x2013;I)</bold> WBC; RBC; HGB; PLC; ALT; AST; CREA; BUN; INR.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g010.tif">
<alt-text content-type="machine-generated">Nine grouped bar charts labeled panels A to I show mean values for Placebo (yellow) and FLN (blue) before and after intervention for WBC, RBC, HGB, PLC, ALT, AST, CREA, BUN, and INR. Error bars indicate variability, and no significant changes or differences between groups are visually apparent.</alt-text>
</graphic>
</fig>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Analysis of adverse events.</p>
</caption>
<graphic xlink:href="fphar-17-1761563-g011.tif">
<alt-text content-type="machine-generated">Bar chart comparing adverse event occurrence rates between placebo (yellow) and FLN (blue). FLN group shows higher rates of abdominal pain and loss of appetite. Serious adverse event rates are zero in both groups.</alt-text>
</graphic>
</fig>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>This trial is the first randomized, double-blind, placebo-controlled study to evaluate whether oral FLN, combined with conventional medication, can reduce the duration, frequency, and ventricular rate of symptomatic AF. Our findings indicate that FLN significantly decreased AF episodes in patients with paroxysmal AF who had an inadequate response to conventional treatment and also contributed to lower ventricular rates in AF. Additionally, FLN showed good safety and efficacy, with no significant adverse effects. The potential therapeutic benefits may be attributed to its regulation of energy metabolism.</p>
<p>FLN&#x2019;s therapeutic potential is rooted in its sophisticated integration of TCM principles and modern pharmacological evidence. Developed from the clinical heritage of Professor Zhongxiang Lin, the formula strategically combines Shengmai San and Ganmai Dazao Decoction to achieve a synergistic effect. By addressing both root deficiencies (qi-yin insufficiency) and symptomatic manifestations (heat, stagnation, and emotional imbalance), FLN effectively restores the yin-yang equilibrium essential for managing palpitations. Clinically, FLN has demonstrated promising efficacy in treating various arrhythmias, with an annual usage of approximately 20,000 boxes at Longhua Hospital. Preclinical studies have shown that FLN effectively counteracts aconitine and calcium chloride-induced arrhythmias in rats, potentially through the inhibition of sodium and calcium ion channels (<xref ref-type="bibr" rid="B22">Shen et al., 2013</xref>). Further analysis divided FLN into three subgroups&#x2014;Modified Shengmai San, Modified Ganmai Dazao Decoction, and a simplified FLN formula. All delayed barium chloride-induced arrhythmias and reduced their duration, showing protective effects (<xref ref-type="bibr" rid="B30">Xu et al., 2014</xref>). These findings suggest a strong correlation between the formula&#x2019;s composition and its anti-arrhythmic properties.</p>
<p>In this study, we included symptomatic AF patients, regardless of whether their AF was paroxysmal or non-paroxysmal. Symptomatic AF patients often experience anxiety, depression, and reduced quality of life (<xref ref-type="bibr" rid="B3">Freeman et al., 2015</xref>; <xref ref-type="bibr" rid="B6">Heidt et al., 2016</xref>). In China, despite the availability of radiofrequency ablation, many patients refuse the procedure due to concerns about surgical trauma or side effects, while others experience AF recurrence post-ablation. Even with standardized Western medicine, AF episodes often remain difficult to control, leading many patients to seek TCM treatment. Notably, our recent study made a compelling observation: despite providing only 1&#xa0;month of free medication, patients in the treatment group experienced significantly fewer AF episodes and shorter episode durations compared to the control group (<italic>P</italic> &#x3c; 0.05) in paroxysmal AF. In patients with permanent AF, FLN also significantly reduced ventricular rates. Furthermore, the treatment group demonstrated improvements in anxiety, depression, and quality of life. These findings suggest that FLN treatment can effectively reduce AF episode frequency and duration while alleviating clinical symptoms. However, we did not observe significant improvements in cardiac function, which may require longer-term clinical follow-up for further validation.</p>
<p>FLN has a strong theoretical foundation supported by both its formulation principles and modern pharmacological research, demonstrating excellent efficacy in arrhythmia management. The formula contains several medicinal botanical drugs such as Kushen, Danshen, Licorice, and Huangqin, all of which have anti-arrhythmic effects (<xref ref-type="bibr" rid="B32">Zhang et al., 2023</xref>). The total alkaloids and flavonoids of Kushen exert a &#x201c;quinidine-like&#x201d; effect by modulating myocardial potassium and sodium ion channels, reducing excitability, and prolonging the refractory period, thereby inhibiting ectopic pacemaker activity (<xref ref-type="bibr" rid="B13">Liu et al., 2017</xref>). In a guinea pig myocardial hypertrophy model, Danshenol II-A reduces the density of fast- and slow-activating delayed rectifier potassium currents in hypertrophic myocardial cells, improving electrophysiological abnormalities (<xref ref-type="bibr" rid="B15">Lu et al., 2022</xref>). Licorice has a cardioprotective effect, mainly due to the flavonoid and glycyrrhizin metabolites it contains, both of which have anti-arrhythmic and myocardial cell protective effects (<xref ref-type="bibr" rid="B27">Wang et al., 2025</xref>; <xref ref-type="bibr" rid="B26">Wang et al., 2023</xref>). The pharmacological studies on these individual botanical drugs provide evidence for the efficacy of FLN in treating arrhythmias. To further explore the potential upstream mechanisms of FLN in treating AF, we conducted a non-targeted plasma metabolomics study.</p>
<p>Emerging evidence links metabolic disorders to AF through electrophysiological and structural remodeling (<xref ref-type="bibr" rid="B28">Watanabe et al., 2008</xref>). Conversely, AF itself induces metabolic remodeling, disrupting lipid and ketone metabolism, impairing mitochondrial function, and altering cardiac energy supply (<xref ref-type="bibr" rid="B1">David et al., 2024</xref>). Ketone metabolism plays a key role in energy compensation during AF, where high-frequency contractions deplete ATP, prompting increased ketone utilization. As ketone metabolism is more efficient, it reduces oxygen consumption and supports myocardial energy supply (<xref ref-type="bibr" rid="B4">Hariharan et al., 2017</xref>). Thus, targeting ketone metabolism&#x2014;by inhibiting excessive utilization or regulating enzyme activity&#x2014;may offer a novel therapeutic approach.</p>
<p>Our study suggests that the antiarrhythmic effects of FLN involve a sophisticated recalibration of the metabolic network, particularly centered on butyrate, ketone, and glycerophospholipid metabolism (<xref ref-type="bibr" rid="B31">Zhang et al., 2021</xref>). Butyrate undergoes &#x03B2;-oxidation to produce acetyl-CoA, a precursor for ketone synthesis (<xref ref-type="bibr" rid="B18">Ota et al., 2020</xref>), and its dysregulation correlates with increased AF risk. Following FLN treatment, we observed a significant downregulation of methyl butyrate and succinate semialdehyde (SAS). As an intermediate in the GABA shunt, the reduction of SAS likely prevents the over-accumulation of metabolic byproducts that trigger oxidative stress, while modulating acetyl-CoA levels to optimize ketone synthesis (<xref ref-type="bibr" rid="B4">Hariharan et al., 2017</xref>). Furthermore, the significant upregulation of acylcarnitines&#x2014;including dodecanoylcarnitine, L-octanoylcarnitine, and decanoylcarnitine&#x2014;suggests enhanced fatty acid &#x3b2;-oxidation. This is critical for AF therapy, as it indicates a restoration of metabolic flexibility, shifting the heart back toward efficient energy substrates and increasing acetyl-CoA availability for regulated ketone production (<xref ref-type="bibr" rid="B24">Sun et al., 2025</xref>). Beyond energy supply, FLN demonstrated a profound impact on protective metabolites. The marked increase in Lutein (a potent antioxidant) and Biliverdin (a cytoprotective agent) suggests that FLN suppresses AF by scavenging reactive oxygen species and mitigating inflammation. Additionally, the enrichment of glycerophospholipid metabolism, evidenced by the upregulation of LysoPC (22:0), points toward the stabilization of the atrial cardiomyocyte membrane, which is essential for preventing electrophysiological leakage and structural remodeling.</p>
<p>In conclusion, these findings indicate that the key metabolites identified in our profiling work regulate AF by integrating energy supply optimization, antioxidant defense, and membrane stabilization. Further exploration of these coordinated mechanisms will provide deeper theoretical support for the clinical application of FLN in AF management.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Limitations</title>
<p>This study has several limitations. First, the COVID-19 pandemic posed challenges to conducting regular Holter follow-ups and limited patient enrollment, particularly affecting the scalability of a multicenter trial. Second, FLN contains multiple bioactive metabolite botanical drugs whose therapeutic benefits likely arise from synergistic effects. Although a preliminary metabolomic analysis was conducted, further mechanistic studies are warranted to fully elucidate its mode of action.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<label>6</label>
<title>Conclusion</title>
<p>In conclusion, this randomized clinical trial found that FLN treatment improved the frequency and duration of AF episodes, reduced ventricular rate, and alleviated clinical symptoms in symptomatic AF patients. This study also used metabolomics to explore FLN&#x2019;s role in AF treatment, providing new insights into TCM-based management.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s8">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of the Longhua Hospital Affiliated to Shanghai University of TCM. 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.</p>
</sec>
<sec sec-type="author-contributions" id="s9">
<title>Author contributions</title>
<p>JT: Writing &#x2013; original draft. KL: Writing &#x2013; original draft, Investigation. TC: Investigation, Writing &#x2013; original draft. ML: Data curation, Investigation, Writing &#x2013; original draft, Writing &#x2013; review and editing. CH: Investigation, Writing &#x2013; original draft. YuZ: Investigation, Writing &#x2013; original draft. QY: Investigation, Data curation, Writing &#x2013; original draft. YiZ: Investigation, Writing &#x2013; original draft. XL: Investigation, Formal Analysis, Writing &#x2013; original draft. ZM: Resources, Writing &#x2013; original draft. NZ: Investigation, Writing &#x2013; original draft. BD: Resources, Writing &#x2013; review and editing. LS: Funding acquisition, Investigation, Writing &#x2013; review and editing. NT: Funding acquisition, Writing &#x2013; review and editing. QW: Funding acquisition, Writing &#x2013; review and editing, Conceptualization, Data curation, Formal Analysis, Methodology, Resources, Supervision, Visualization.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>We would like to thank all the patients and research staff who participated in the trial.</p>
</ack>
<sec sec-type="COI-statement" id="s11">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s12">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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="s13">
<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="s14">
<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/fphar.2026.1761563/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2026.1761563/full&#x23;supplementary-material</ext-link>
</p>
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<supplementary-material xlink:href="Supplementaryfile2.docx" id="SM2" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>AF, Atrial fibrillation; FLN, Fulvning Granules; AADs, antiarrhythmic drugs; HAMA, Hamilton Anxiety Scale; HAMD, Hamilton Depression Scale; SF-36, the 36-item Short-Form Health Survey; QoL, quality of life; HF, heart failure; TCM, Traditional Chinese Medicine; CRA, clinical research associate; ECG, electrocardiogram; CRFs, Case Report Forms; LAD, Left atrial diameter; LVEDD, Left ventricular end-diastolic diameter; LVSV, Left ventricular stroke volume; LVEF, Left ventricular ejection fraction; NT-pro BNP, N-terminal pro B-type natriuretic peptide; PCA, principal metabolite analysis; INR, international normalized ratio.</p>
</fn>
</fn-group>
</back>
</article>