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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
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<issn pub-type="epub">1664-042X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1796142</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2026.1796142</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Transcriptomic insights into aerobic exercise-mediated attenuation of high-fat diet&#x2013;induced muscle wasting</article-title>
<alt-title alt-title-type="left-running-head">Hong 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/fphys.2026.1796142">10.3389/fphys.2026.1796142</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hong</surname>
<given-names>Weihao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3363411"/>
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<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Jianrong</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Luan</surname>
<given-names>Yisheng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Haibin</given-names>
</name>
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<sup>1</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Yueyun</given-names>
</name>
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<sup>1</sup>
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<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Bing</given-names>
</name>
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<sup>2</sup>
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<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<label>1</label>
<institution>School of Physical Education, Quanzhou Normal University</institution>, <city>Quanzhou</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Division of Sports Science and Physical Education, Tsinghua University</institution>, <city>Beijing</city>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>School of Life Science and Technology, ShanghaiTech University</institution>, <city>Shanghai</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Yueyun Xu, <email xlink:href="mailto:xyyulk@qztc.edu.cn">xyyulk@qztc.edu.cn</email>; Bing Zhang, <email xlink:href="mailto:bzhang@mail.tsinghua.edu.cn">bzhang@mail.tsinghua.edu.cn</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27">
<day>27</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>1796142</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>14</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Hong, Zheng, Luan, Yu, Xu and Zhang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Hong, Zheng, Luan, Yu, Xu and Zhang</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">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>
<p>Chronic consumption of high-fat diets (HFDs) induces obesity and metabolic dysfunction and is accompanied by progressive skeletal muscle wasting. Although aerobic exercise is generally considered less effective for maintaining muscle mass, accumulating evidence suggests that it can attenuate HFD-induced muscle wasting. However, the molecular mechanisms underlying this protective effect remain poorly defined. In this study, we investigated the effects of moderate-intensity continuous training (MICT) on HFD-induced muscle wasting and characterized the associated transcriptomic adaptations in the mouse gastrocnemius muscle. 21 weeks of HFD feeding increased body weight and serum glucose levels and induced marked muscle wasting, as evidenced by reduced gastrocnemius muscle index, impaired forelimb grip strength, decreased muscle fiber cross-sectional area, and excessive intramuscular lipid accumulation. These pathological alterations were significantly attenuated by an 8-week MICT intervention. RNA sequencing revealed that HFD predominantly induced a lipid-centered transcriptional program characterized by enhanced fatty acid uptake, trafficking, and &#x3b2;-oxidation. In contrast, MICT predominantly suppressed atrophy-associated genes (<italic>Foxo1</italic>, <italic>Fbxo32</italic>, and <italic>Trim63</italic>), while exerting minimal effects on myogenic genes (<italic>Pax7</italic>, <italic>Myod1</italic>, and <italic>Myog</italic>). Functional enrichment analyses further indicated that MICT modulated signaling pathways related to FoxO, PI3K&#x2013;Akt, MAPK, and insulin signaling, together with biological processes associated with angiogenesis and calcium signaling. Collectively, these results suggest that MICT mitigates HFD-induced muscle wasting primarily by reprogramming the transcriptome from a lipotoxic, atrophic state toward a more insulin-sensitive, pro-angiogenic profile, with limited myogenic activation.</p>
</abstract>
<kwd-group>
<kwd>aerobic exercise</kwd>
<kwd>high-fat diet</kwd>
<kwd>MICT</kwd>
<kwd>muscle wasting</kwd>
<kwd>transcriptome</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was financially supported by Fujian Provincial Education Research Project for Young and Middle-Aged Teachers (JAT251117).</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="00"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Exercise Physiology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>The widespread adoption of high-fat diets (HFDs) in modern societies has contributed to a marked rise in obesity and related metabolic disorders (<xref ref-type="bibr" rid="B1">Abbasi and Khodadadi, 2025</xref>). Although the detrimental consequences of HFDs&#x2014;such as adipose tissue expansion, chronic low-grade inflammation, and insulin resistance&#x2014;are well documented, accumulating evidence indicates that skeletal muscle is also a direct target of diet-induced metabolic stress (<xref ref-type="bibr" rid="B19">He et al., 2020</xref>; <xref ref-type="bibr" rid="B21">Kawai et al., 2021</xref>; <xref ref-type="bibr" rid="B22">Kitessa and Abeywardena, 2016</xref>). Prolonged HFD consumption has been associated with decreased muscle mass, disorganization of myofiber structure, and impaired contractile function, changes that collectively compromise physical performance and metabolic health (<xref ref-type="bibr" rid="B26">Lee et al., 2015</xref>; <xref ref-type="bibr" rid="B2">Abrigo et al., 2016</xref>).</p>
<p>Resistance exercise is widely regarded as the most effective non-pharmacological strategy for preserving skeletal muscle mass. Its robust anabolic effects&#x2014;classically mediated by activation of mechanistic target of rapamycin (mTOR) signaling, enhanced muscle protein synthesis, and increased expression of myogenic regulatory factors&#x2014;have been consistently demonstrated in both clinical and experimental studies (<xref ref-type="bibr" rid="B10">Bodine et al., 2001</xref>; <xref ref-type="bibr" rid="B18">Fragala et al., 2019</xref>). In parallel, resistance training suppresses catabolic programs, including the ubiquitin&#x2013;proteasome system and the autophagy&#x2013;lysosome pathway, thereby shifting muscle toward an anabolic state (<xref ref-type="bibr" rid="B25">Kwon et al., 2018</xref>; <xref ref-type="bibr" rid="B42">Zanchi et al., 2009</xref>). These well-established adaptations underpin current recommendations that emphasize resistance training for the prevention and management of muscle-wasting conditions.</p>
<p>By contrast, aerobic (endurance) exercise has historically been viewed as less effective for preserving muscle mass, given that its canonical adaptations primarily involve improvements in cardiorespiratory fitness, mitochondrial biogenesis, and metabolic flexibility (<xref ref-type="bibr" rid="B6">An et al., 2024</xref>). Consequently, aerobic exercise has received comparatively limited attention in the context of muscle wasting. Nonetheless, emerging evidence indicates that aerobic exercise can attenuate muscle loss during metabolic stress, including that induced by HFD feeding (<xref ref-type="bibr" rid="B41">Xu et al., 2025</xref>; <xref ref-type="bibr" rid="B43">Zhang et al., 2021</xref>). However, the molecular mechanisms through which aerobic exercise mitigates HFD-induced muscle wasting remain insufficiently characterized. This gap is clinically relevant because aerobic exercise&#x2014;particularly moderate-intensity continuous training (MICT)&#x2014;is often more accessible and feasible than resistance training for individuals with joint limitations, severe obesity, or low baseline muscle strength. Defining the mechanisms underlying these benefits would therefore strengthen the biological rationale for considering aerobic exercise, especially MICT, as a practical strategy to manage obesity-associated muscle wasting.</p>
<p>To address this gap, we examined the effects of MICT on the gastrocnemius muscle in a mouse model of HFD-induced muscle wasting. RNA sequencing was performed to identify MICT-responsive transcriptional programs and signaling pathways associated with muscle preservation. By integrating physiological phenotyping with transcriptomic profiling, this study delineates the role of MICT in preserving skeletal muscle during HFD feeding and provides a mechanistic framework for its protective effects.</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>Animals</title>
<p>3 week-old male C57BL/6J mice were obtained from the Tsinghua Laboratory Animal Resource Center. After 1 week of acclimation, mice were randomly allocated to four groups (n &#x3d; 12 per group): standard chow diet (C), standard chow diet plus MICT (CM), HFD (H), and HFD plus MICT (HM). Standard chow diet (D12450J, containing 10 kcal% fat) and HFD (D12492, containing 60 kcal% fat) were procured from Research Diets. All animal procedures were approved by the Institutional Animal Care and Use Committee of Tsinghua University (Approval No. THU-LARC-2025&#x2013;034) and were conducted in accordance with the ARRIVE guidelines.</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Exercise protocol</title>
<p>The dietary intervention was maintained throughout the entire experiment (weeks 1&#x2013;21). Starting at week 13, mice assigned to the exercise groups completed a 1-week treadmill acclimation phase (10 m/min for 10 min/day, 5 days/week), followed by an 8 week MICT intervention (weeks 14&#x2013;21). Each session lasted 45 min and was performed 5 days per week, preceded by a 10-min warm-up at 10 m/min. Treadmill speed was progressively increased from 13 m/min (weeks 14&#x2013;15) to 15 m/min (weeks 16&#x2013;17), and then to 17 m/min (weeks 18&#x2013;21), as previously described (<xref ref-type="bibr" rid="B29">Luan et al., 2025</xref>). These speeds corresponded to approximately 60% of the maximal oxygen consumption (VO<sub>2</sub>max) determined in HFD-fed mice (<xref ref-type="sec" rid="s13">Supplementary Table S1</xref>).</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Serum glucose measurements</title>
<p>Mice were fasted for 12 h and then anesthetized with Avertin (250 mg/kg, intraperitoneal injection). Blood was collected by retro-orbital bleeding, and the mice were subsequently euthanized by cervical dislocation. Serum was separated by centrifugation at 3,000 rpm for 15 min at 4 &#xb0;C. Serum glucose levels were measured using an automated chemistry analyzer (Kehua ZY KHB1280).</p>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Hematoxylin-eosin (HE) staining</title>
<p>The gastrocnemius muscle was dissected on ice, fixed in 4% paraformaldehyde, embedded in paraffin, and sectioned at 5 &#x3bc;m. The sections were then deparaffinized twice with xylene for 10 min each, dehydrated through a graded series of ethanol solutions (100%, 95%, 85%, 75%) for 3 min each, and rinsed in distilled water for 2 min. Staining was performed by immersing the sections in hematoxylin for 5 min, rinsing in water, differentiating in differentiation solution for 30 s, rinsing twice in tap water for 3 min each, and staining in eosin for 2 min. After staining, the sections were dehydrated through a graded series of ethanol solutions (75%, 85%, 95%, 100%) for 5 s each, washed in 100% ethanol for 1 min, cleared in xylene twice for 1 min each, and mounted with neutral resin. The sections were then observed and photographed under a microscope, and ImageJ software was used to measure the cross-sectional area of the muscle fibers.</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Oil Red O staining</title>
<p>Following the dissection of the gastrocnemius muscle on ice, the tissue was frozen in liquid nitrogen and subsequently sectioned at 10 &#x3bc;m. Upon reaching room temperature, the sections were treated with staining buffer for 3 min. After the removal of excess buffer, the sections were incubated with Oil Red O staining solution at room temperature for 15 min. Subsequent to the removal of surplus staining solution, differentiation solution was applied for 5 min. The sections were rinsed in distilled water for 1 min, stained with hematoxylin for 2 min, rinsed again in distilled water for 1 min, and blued in water for 5 min. Finally, the sections were mounted for microscopic examination. ImageJ software was used to quantify the proportion of cells with lipid deposition in the gastrocnemius muscle.</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Quantitative real-time PCR</title>
<p>Total RNA extraction was performed with TRIzol (Invitrogen) according to the manufacturer&#x2019;s instructions. cDNA was synthesized using HiScript II Q RT SuperMix (Vazyme). Quantitative RT-PCR was performed using AceQ qPCR SYBR Green Master Mix (Vazyme).</p>
<p>The following primers were used:<list list-type="simple">
<list-item>
<label/>
<p>
<italic>Gapdh</italic> Forward: AGAAGGTGGTGAAGCAGGCATCT</p>
</list-item>
<list-item>
<label/>
<p>Reverse: CGGCATCGAAGGTGGAAGAGTG</p>
</list-item>
<list-item>
<label/>
<p>
<italic>Trim63</italic> Forward: GTGTGAGGTGCCTACTTGCTC</p>
</list-item>
<list-item>
<label/>
<p>Reverse: GCTCAGTCTTCTGTCCTTGGA</p>
</list-item>
<list-item>
<label/>
<p>
<italic>Fbxo32</italic> Forward: CAGCTTCGTGAGCGACCTC</p>
</list-item>
<list-item>
<label/>
<p>Reverse: GGCAGTCGAGAAGTCCAGTC</p>
</list-item>
<list-item>
<label/>
<p>
<italic>Foxo1</italic> Forward: CCCAGGCCGGAGTTTAACC</p>
</list-item>
<list-item>
<label/>
<p>Reverse: GTTGCTCATAAAGTCGGTGCT</p>
</list-item>
<list-item>
<label/>
<p>
<italic>Pax7</italic> Forward: TCTCCAAGATTCTGTGCCGAT</p>
</list-item>
<list-item>
<label/>
<p>Reverse: CGGGGTTCTCTCTCTTATACTCC</p>
</list-item>
<list-item>
<label/>
<p>
<italic>Myod1</italic> Forward: CCACTCCGGGACATAGACTTG</p>
</list-item>
<list-item>
<label/>
<p>Reverse: AAAAGCGCAGGTCTGGTGAG</p>
</list-item>
<list-item>
<label/>
<p>
<italic>Myog</italic> Forward: CTGTTTAAGACTCACCCTGAGAC</p>
</list-item>
<list-item>
<label/>
<p>Reverse: GGTGCAACCATGCTTCTTCA</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2-7">
<label>2.7</label>
<title>Gastrocnemius muscle RNA-seq</title>
<p>RNA-seq (n &#x3d; 6 per group) was conducted by Biomarker (Beijing, China). Paired-end reads underwent quality assessment and trimming using Trim-galore (v.0.6.0). Subsequently, alignment of the reads to the mouse genome reference (GRCm38.p6) sourced from GENCODE was executed using STAR (v.2.7.3a). Following alignment, featureCounts (v.1.6.3) was employed to quantify the reads mapped to exon sites of genes listed in GTF files obtained from GENCODE. Differential expression analysis was performed utilizing DESeq2 (v.1.22.2), with raw counts utilized as input data. <italic>P</italic>-values were adjusted for multiple testing using the Benjamini&#x2013;Hochberg method to control the false discovery rate (FDR), and genes with adjusted <italic>P</italic>-value (FDR) &#x3c; 0.05 were considered significantly differentially expressed. Functional enrichment analyses, encompassing Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) analyses of differentially expressed genes (DEGs), were carried out using clusterProfiler (v3.10.1).</p>
</sec>
<sec id="s2-8">
<label>2.8</label>
<title>Statistical analysis</title>
<p>Statistical analyses were performed using GraphPad Prism 7 (GraphPad Software). Data were shown as mean &#xb1; SD. One-way analysis of variance (ANOVA) was employed for comparisons among multiple groups, followed by Tukey&#x2019;s post-hoc test for pairwise com parisons. <italic>P</italic> &#x3c; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>MICT attenuated HFD-induced obesity and muscle wasting</title>
<p>After 1 week of adaptive feeding, mice were assigned to four groups: standard chow diet (C), standard chow diet &#x2b; MICT (CM), HFD (H), and HFD &#x2b; MICT (HM). The initial body weights were comparable among all groups (<xref ref-type="fig" rid="F1">Figure 1A</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>MICT attenuated HFD-induced obesity and muscle wasting. <bold>(A)</bold> Body weight, with the colored portion of each bar indicating initial body weight; <bold>(B)</bold> serum glucose levels; <bold>(C)</bold> gastrocnemius muscle index, defined as bilateral gastrocnemius muscle mass normalized to body weight; <bold>(D)</bold> normalized forelimb grip strength, defined as forelimb grip force normalized to body weight. &#x2a;&#x2a;<italic>P</italic> &#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fphys-17-1796142-g001.tif">
<alt-text content-type="machine-generated">Four bar graphs labeled A to D compare experimental groups C, CM, H, and HM for initial and terminal weight, serum glucose, muscle index, and normalized grip strength. Group H shows significantly higher weight and serum glucose but lower muscle index and grip strength, indicated by double asterisks for statistical significance.</alt-text>
</graphic>
</fig>
<p>At the experimental endpoint, body weight and serum glucose levels were significantly elevated in the H group compared with the C group, but were markedly reduced in the HM group relative to the H group (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>). Consistently, the gastrocnemius muscle index and normalized forelimb grip strength were significantly decreased in the H group and were significantly restored in the HM group (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>). Histological analysis further revealed reduced muscle fiber cross-sectional area, disrupted fiber organization, and increased lipid accumulation in the gastrocnemius muscle in the H group; in contrast, these pathological alterations were significantly attenuated in the HM group (<xref ref-type="fig" rid="F2">Figures 2A&#x2013;D</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>MICT mitigated HFD&#x2013;induced muscle fiber atrophy and lipid accumulation. <bold>(A)</bold> HE staining and <bold>(B)</bold> Oil Red O staining results of the gastrocnemius muscle in the C, CM, H, HM groups; <bold>(C)</bold> statistical results of average muscle fiber cross-sectional area; <bold>(D)</bold> statistical results of lipid deposition ratio. The scale bar in A and B is 200 &#x3bc;m &#x2a;&#x2a;<italic>P</italic> &#x3c; 0.01, &#x2a;<italic>P</italic> &#x3c; 0.05.</p>
</caption>
<graphic xlink:href="fphys-17-1796142-g002.tif">
<alt-text content-type="machine-generated">Panel A shows four micrographs of muscle tissue stained with hematoxylin and eosin from groups labeled C, CM, H, and HM, displaying variation in muscle fiber structure. Panel B presents corresponding micrographs stained for lipid deposits, showing more lipid in the H group. Panel C features a bar chart comparing muscle fiber cross-sectional area among groups, with H significantly lower than C and CM, and HM higher than H. Panel D contains a bar chart for lipid deposition proportion, highest in H, reduced in HM, and lowest in C and CM groups.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Gastrocnemius muscle transcriptome analysis</title>
<p>We next performed RNA-seq to profile HFD-induced transcriptional changes and the effects of MICT intervention. PCA revealed distinct clustering of samples from the C, H, and HM groups, indicating clear group-level differences in global gene expression (<xref ref-type="fig" rid="F3">Figure 3A</xref>). DEGs were identified using the criteria of an adjusted <italic>P</italic>-value &#x3c;0.05 and &#x7c;log2FC&#x7c; &#x2265; 0.5. A total of 458 DEGs (295 upregulated, 163 downregulated) were identified between the C and H groups (H vs. C), and 563 DEGs (213 upregulated, 350 downregulated) were identified between the H and HM groups (HM vs. H) (<xref ref-type="fig" rid="F3">Figure 3B</xref>). The top 50 significant DEGs in H vs. C were <italic>BC048679, Decr1, Fabp3, Rab15, Ech1, Chrna2, Ephx2, Cyp1a1, Tph2, Dhrs4, Acadl, Ubd, Cd36, Itgad, Hadhb, Acot1, Slc35f5, Plin5, Mmp12, Oxtr, Slc5a7, Plbd1, Slc25a20, Eci2, Fbp2, Btnl9, Pex11a, Angptl4, Acaa2, Stau2, Slc5a3, Mlf1, Dbi, Lgr6, Hadha, Impa2, Acot2, Slc4a4, G0s2, Cpt2, Retsat, Rgcc, Slc25a34, Etfdh, Plin2, C7, Hsdl2, Npr3, Aifm2, Cryab</italic> (<xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="sec" rid="s13">Supplementary Table S2</xref>). The top 50 significant DEGs in HM vs. H were <italic>Angptl7, Txnip, Pkp4, Fbxo32, Sec14l5, Dach1, Fibin, Adh1, Galnt15, Tnfrsf19, Mrtfa, Inmt, Apold1, Klf11, Xdh, Cited4, Pdk4, Ptgfr, Relt, Ddit4l, Serinc3, Spock2, Slc43a3, Tnfaip2, Errfi1, Plcb4, Acvr1, Fmo2, Ret, Arhgap26, Fam110b, Nebl, Ky, Slx4ip, Fbxw7, Angptl4, Ucp3, Cry2, Lrrc38, Rora, Klhl38, Cd163, Mturn, Scara5, Trim63, Ptch1, Lvrn, Cd93, Car8, Abca6</italic> (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="sec" rid="s13">Supplementary Table S3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Gastrocnemius muscle transcriptome analysis. <bold>(A)</bold> PCA of gastrocnemius muscle transcriptome in C, H, HM groups. <bold>(B)</bold> Volcano plots of DEGs in H vs. C and HM vs. H.</p>
</caption>
<graphic xlink:href="fphys-17-1796142-g003.tif">
<alt-text content-type="machine-generated">Panel A contains a principal component analysis scatter plot with three clearly separated groups: red (C), green (H), and blue (HM), representing three experimental conditions. Panels B show two volcano plots of gene expression comparisons: H vs. C (163 downregulated, 295 upregulated) and HM vs. H (350 downregulated, 213 upregulated), with colored dots indicating up (red), down (blue), or not significant (grey) changes.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The top 50 significant DEGs in H vs. C.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Gene symbol</th>
<th align="center">log<sub>2</sub> (foldchange)</th>
<th align="center">Adjusted <italic>P</italic> value</th>
<th align="center">Regulation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">
<italic>BC048679</italic>
</td>
<td align="center">2.810305</td>
<td align="center">8.34E-44</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Decr1</italic>
</td>
<td align="center">1.137979</td>
<td align="center">3.09E-37</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Fabp3</italic>
</td>
<td align="center">1.742903</td>
<td align="center">1.04E-34</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Rab15</italic>
</td>
<td align="center">2.273352</td>
<td align="center">1.04E-34</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Ech1</italic>
</td>
<td align="center">1.355624</td>
<td align="center">4.32E-33</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Chrna2</italic>
</td>
<td align="center">2.621462</td>
<td align="center">3.75E-32</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Ephx2</italic>
</td>
<td align="center">1.280299</td>
<td align="center">1.43E-23</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Cyp1a1</italic>
</td>
<td align="center">&#x2212;3.24577</td>
<td align="center">1.55E-23</td>
<td align="center">Down</td>
</tr>
<tr>
<td align="center">
<italic>Tph2</italic>
</td>
<td align="center">4.266208</td>
<td align="center">3.36E-19</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Dhrs4</italic>
</td>
<td align="center">0.892765</td>
<td align="center">7.81E-19</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Acadl</italic>
</td>
<td align="center">0.940393</td>
<td align="center">1.00E-18</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Ubd</italic>
</td>
<td align="center">5.767995</td>
<td align="center">2.70E-17</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Cd36</italic>
</td>
<td align="center">0.719191</td>
<td align="center">2.06E-16</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Itgad</italic>
</td>
<td align="center">4.050096</td>
<td align="center">2.16E-16</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Hadhb</italic>
</td>
<td align="center">1.005764</td>
<td align="center">7.02E-16</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Acot1</italic>
</td>
<td align="center">1.78606</td>
<td align="center">9.18E-16</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Slc35f5</italic>
</td>
<td align="center">0.635493</td>
<td align="center">1.55E-15</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Plin5</italic>
</td>
<td align="center">1.230735</td>
<td align="center">1.80E-15</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Mmp12</italic>
</td>
<td align="center">4.317651</td>
<td align="center">2.46E-15</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Oxtr</italic>
</td>
<td align="center">3.65195</td>
<td align="center">7.55E-15</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Slc5a7</italic>
</td>
<td align="center">4.444271</td>
<td align="center">1.49E-14</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Plbd1</italic>
</td>
<td align="center">0.836759</td>
<td align="center">1.90E-14</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Slc25a20</italic>
</td>
<td align="center">0.775148</td>
<td align="center">1.74E-13</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Eci2</italic>
</td>
<td align="center">0.638861</td>
<td align="center">5.37E-13</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Fbp2</italic>
</td>
<td align="center">0.909123</td>
<td align="center">1.47E-12</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Btnl9</italic>
</td>
<td align="center">1.218367</td>
<td align="center">4.01E-12</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Pex11a</italic>
</td>
<td align="center">0.953572</td>
<td align="center">4.05E-12</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Angptl4</italic>
</td>
<td align="center">1.964385</td>
<td align="center">4.38E-12</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Acaa2</italic>
</td>
<td align="center">0.925086</td>
<td align="center">4.46E-12</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Stau2</italic>
</td>
<td align="center">0.532902</td>
<td align="center">8.92E-12</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Slc5a3</italic>
</td>
<td align="center">0.843975</td>
<td align="center">8.92E-12</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Mlf1</italic>
</td>
<td align="center">&#x2212;0.89284</td>
<td align="center">1.64E-11</td>
<td align="center">Down</td>
</tr>
<tr>
<td align="center">
<italic>Dbi</italic>
</td>
<td align="center">0.802397</td>
<td align="center">1.79E-11</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Lgr6</italic>
</td>
<td align="center">1.851906</td>
<td align="center">6.18E-11</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Hadha</italic>
</td>
<td align="center">0.72542</td>
<td align="center">8.21E-11</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Impa2</italic>
</td>
<td align="center">1.040845</td>
<td align="center">9.41E-11</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Acot2</italic>
</td>
<td align="center">1.233048</td>
<td align="center">9.41E-11</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Slc4a4</italic>
</td>
<td align="center">&#x2212;0.76716</td>
<td align="center">1.03E-10</td>
<td align="center">Down</td>
</tr>
<tr>
<td align="center">
<italic>G0s2</italic>
</td>
<td align="center">1.119439</td>
<td align="center">1.31E-10</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Cpt2</italic>
</td>
<td align="center">0.77179</td>
<td align="center">1.58E-10</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Retsat</italic>
</td>
<td align="center">0.774455</td>
<td align="center">2.13E-10</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Rgcc</italic>
</td>
<td align="center">1.012361</td>
<td align="center">2.68E-10</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Slc25a34</italic>
</td>
<td align="center">1.017753</td>
<td align="center">4.30E-10</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Etfdh</italic>
</td>
<td align="center">0.641324</td>
<td align="center">5.72E-10</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Plin2</italic>
</td>
<td align="center">0.693641</td>
<td align="center">7.56E-10</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>C7</italic>
</td>
<td align="center">&#x2212;1.25352</td>
<td align="center">2.72E-09</td>
<td align="center">Down</td>
</tr>
<tr>
<td align="center">
<italic>Hsdl2</italic>
</td>
<td align="center">0.693862</td>
<td align="center">2.84E-09</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Npr3</italic>
</td>
<td align="center">1.327301</td>
<td align="center">6.46E-09</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Aifm2</italic>
</td>
<td align="center">0.776045</td>
<td align="center">1.36E-08</td>
<td align="center">Up</td>
</tr>
<tr>
<td align="center">
<italic>Cryab</italic>
</td>
<td align="center">0.837016</td>
<td align="center">1.57E-08</td>
<td align="center">Up</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The top 50 significant DEGs in HM vs. H.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Gene symbol</th>
<th align="center">log<sub>2</sub> (foldchange)</th>
<th align="center">Adjusted <italic>P</italic> value</th>
<th align="center">Regulation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>Angptl7</italic>
</td>
<td align="left">&#x2212;1.35633</td>
<td align="left">2.38E-22</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Txnip</italic>
</td>
<td align="left">&#x2212;0.77591</td>
<td align="left">2.38E-22</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Pkp4</italic>
</td>
<td align="left">&#x2212;1.24768</td>
<td align="left">1.61E-20</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Fbxo32</italic>
</td>
<td align="left">&#x2212;1.13592</td>
<td align="left">3.44E-20</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Sec14l5</italic>
</td>
<td align="left">1.126741</td>
<td align="left">1.41E-19</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Dach1</italic>
</td>
<td align="left">1.080156</td>
<td align="left">6.15E-19</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Fibin</italic>
</td>
<td align="left">&#x2212;0.96892</td>
<td align="left">3.49E-18</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Adh1</italic>
</td>
<td align="left">&#x2212;1.15344</td>
<td align="left">6.47E-16</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Galnt15</italic>
</td>
<td align="left">&#x2212;1.35558</td>
<td align="left">2.74E-15</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Tnfrsf19</italic>
</td>
<td align="left">1.147841</td>
<td align="left">2.74E-15</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Mrtfa</italic>
</td>
<td align="left">1.18295</td>
<td align="left">2.74E-15</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Inmt</italic>
</td>
<td align="left">&#x2212;1.03643</td>
<td align="left">4.52E-15</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Apold1</italic>
</td>
<td align="left">1.645677</td>
<td align="left">2.45E-14</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Klf11</italic>
</td>
<td align="left">&#x2212;0.79343</td>
<td align="left">6.54E-14</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Xdh</italic>
</td>
<td align="left">&#x2212;1.11045</td>
<td align="left">5.42E-13</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Cited4</italic>
</td>
<td align="left">1.293297</td>
<td align="left">1.53E-12</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Pdk4</italic>
</td>
<td align="left">&#x2212;1.30562</td>
<td align="left">2.21E-12</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Ptgfr</italic>
</td>
<td align="left">&#x2212;1.06672</td>
<td align="left">8.21E-12</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Relt</italic>
</td>
<td align="left">0.952813</td>
<td align="left">2.47E-11</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Ddit4l</italic>
</td>
<td align="left">1.077754</td>
<td align="left">5.57E-11</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Serinc3</italic>
</td>
<td align="left">&#x2212;0.52489</td>
<td align="left">6.73E-11</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Spock2</italic>
</td>
<td align="left">&#x2212;1.16433</td>
<td align="left">1.46E-10</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Slc43a3</italic>
</td>
<td align="left">&#x2212;0.86852</td>
<td align="left">1.46E-10</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Tnfaip2</italic>
</td>
<td align="left">1.039797</td>
<td align="left">2.35E-10</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Errfi1</italic>
</td>
<td align="left">1.123973</td>
<td align="left">2.35E-10</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Plcb4</italic>
</td>
<td align="left">&#x2212;0.6351</td>
<td align="left">3.68E-10</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Acvr1</italic>
</td>
<td align="left">0.599459</td>
<td align="left">4.30E-10</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Fmo2</italic>
</td>
<td align="left">&#x2212;0.97167</td>
<td align="left">4.60E-10</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Ret</italic>
</td>
<td align="left">0.810938</td>
<td align="left">5.63E-10</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Arhgap26</italic>
</td>
<td align="left">&#x2212;1.22514</td>
<td align="left">8.42E-10</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Fam110b</italic>
</td>
<td align="left">1.012301</td>
<td align="left">9.78E-10</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Nebl</italic>
</td>
<td align="left">&#x2212;1.40734</td>
<td align="left">1.26E-09</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Ky</italic>
</td>
<td align="left">1.657281</td>
<td align="left">1.32E-09</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Slx4ip</italic>
</td>
<td align="left">&#x2212;0.77722</td>
<td align="left">1.45E-09</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Fbxw7</italic>
</td>
<td align="left">0.598366</td>
<td align="left">1.85E-09</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Angptl4</italic>
</td>
<td align="left">&#x2212;1.74179</td>
<td align="left">2.41E-09</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Ucp3</italic>
</td>
<td align="left">&#x2212;1.55638</td>
<td align="left">3.69E-09</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Cry2</italic>
</td>
<td align="left">&#x2212;0.518</td>
<td align="left">3.69E-09</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Lrrc38</italic>
</td>
<td align="left">0.824342</td>
<td align="left">6.77E-09</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Rora</italic>
</td>
<td align="left">&#x2212;0.6644</td>
<td align="left">1.00E-08</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Klhl38</italic>
</td>
<td align="left">&#x2212;1.16978</td>
<td align="left">1.09E-08</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Cd163</italic>
</td>
<td align="left">&#x2212;1.1075</td>
<td align="left">1.09E-08</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Mturn</italic>
</td>
<td align="left">&#x2212;0.67008</td>
<td align="left">3.24E-08</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Scara5</italic>
</td>
<td align="left">&#x2212;0.57302</td>
<td align="left">3.24E-08</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Trim63</italic>
</td>
<td align="left">&#x2212;1.28789</td>
<td align="left">4.97E-08</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Ptch1</italic>
</td>
<td align="left">&#x2212;0.67707</td>
<td align="left">6.87E-08</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Lvrn</italic>
</td>
<td align="left">&#x2212;1.1082</td>
<td align="left">9.08E-08</td>
<td align="left">Down</td>
</tr>
<tr>
<td align="left">
<italic>Cd93</italic>
</td>
<td align="left">0.619035</td>
<td align="left">9.68E-08</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Car8</italic>
</td>
<td align="left">0.930244</td>
<td align="left">9.73E-08</td>
<td align="left">Up</td>
</tr>
<tr>
<td align="left">
<italic>Abca6</italic>
</td>
<td align="left">&#x2212;0.91853</td>
<td align="left">1.04E-07</td>
<td align="left">Down</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>GO functional classification</title>
<p>To explore the biological functions of the DEGs, GO enrichment analysis was performed for the H vs. C and HM vs. H comparisons. In H vs. C, 184 terms were significantly enriched (q value &#x3c;0.01). The top 15 significantly enriched terms were fatty acid metabolic process, fatty acid oxidation, lipid oxidation, lipid modification, fatty acid catabolic process, fatty acid beta-oxidation, monocarboxylic acid catabolic process, lipid catabolic process, cellular lipid catabolic process, carboxylic acid catabolic process, organic acid catabolic process, small molecule catabolic process, regulation of small molecule metabolic process, regulation of lipid metabolic process, cellular carbohydrate metabolic process (<xref ref-type="fig" rid="F4">Figure 4A</xref>; <xref ref-type="sec" rid="s13">Supplementary Table S4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>GO functional classification of the DEGs in <bold>(A)</bold> H vs. C and <bold>(B)</bold> HM vs. H.</p>
</caption>
<graphic xlink:href="fphys-17-1796142-g004.tif">
<alt-text content-type="machine-generated">Two grouped dot plots compare enriched biological processes using GeneRatio on the x-axis and process names on the y-axis. Panel A shows metabolic and catabolic processes with larger, more red dots indicating higher gene counts and lower q-values. Panel B displays migration, signaling, and metabolic processes with similar color and size encoding. Legends show dot size for count and a q-value color gradient from green to red.</alt-text>
</graphic>
</fig>
<p>In HM vs. H, 60 terms were significantly enriched (q value &#x3c;0.01). The top 15 significantly enriched terms (biological process) were regulation of peptidyl-tyrosine phosphorylation, response to peptide hormone, sprouting angiogenesis, response to insulin, ameboidal-type cell migration, cellular response to fibroblast growth factor stimulus, monosaccharide metabolic process, response to fibroblast growth factor, hexose metabolic process, cellular response to peptide hormone stimulus, response to peptide, positive regulation of cytosolic calcium ion concentration, innervation, peptidyl-tyrosine phosphorylation, peptidyl-tyrosine modification (<xref ref-type="fig" rid="F4">Figure 4B</xref>; <xref ref-type="sec" rid="s13">Supplementary Table S5</xref>).</p>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>KEGG pathway analysis</title>
<p>To gain deeper insights into these DEGs, we further conducted KEGG pathway analysis. In H vs. C, DEGs were significantly enriched in 15 pathways (q value &#x3c;0.05). They were fatty acid degradation, fatty acid elongation, PPAR signaling pathway, fatty acid metabolism, cytoskeleton in muscle cells, valine, leucine and isoleucine degradation, AMPK signaling pathway, ECM-receptor interaction, tryptophan metabolism, proximal tubule bicarbonate reclamation, fat digestion and absorption, ovarian steroidogenesis, butanoate metabolism, peroxisome, insulin signaling pathway (<xref ref-type="fig" rid="F5">Figure 5A</xref>; <xref ref-type="sec" rid="s13">Supplementary Table S6</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>KEGG pathway analysis of the DEGs in <bold>(A)</bold> H vs. C and <bold>(B)</bold> HM vs. H.</p>
</caption>
<graphic xlink:href="fphys-17-1796142-g005.tif">
<alt-text content-type="machine-generated">Two side-by-side dot plot graphics labeled A and B illustrate enriched pathways. Y-axes list pathway names, x-axes show GeneRatio, and dot sizes indicate gene count. Colors represent q-values, with blue as highest and red as lowest q-values. A includes pathways like fatty acid metabolism; B includes signaling pathways like PI3K-Akt and MAPK.</alt-text>
</graphic>
</fig>
<p>In HM vs. H, DEGs were significantly enriched in 32 pathways (q value &#x3c;0.05). The top 15 significantly enriched pathways were aldosterone synthesis and secretion, insulin signaling pathway, Cushing syndrome, mucin type O-glycan biosynthesis, renin secretion, FoxO signaling pathway, PI3K-Akt signaling pathway, MAPK signaling pathway, glucagon signaling pathway, calcium signaling pathway, Ras signaling pathway, Rap1 signaling pathway, gastric cancer, insulin resistance, prolactin signaling pathway (<xref ref-type="fig" rid="F5">Figure 5B</xref>; <xref ref-type="sec" rid="s13">Supplementary Table S7</xref>).</p>
</sec>
<sec id="s3-5">
<label>3.5</label>
<title>Expression patterns of key myogenic and atrophy-related genes</title>
<p>As shown in <xref ref-type="table" rid="T2">Table 2</xref>, the top 50 significant DEGs in HM vs. H included multiple genes implicated in proteolysis and muscle atrophy, whereas genes indicative of myogenic activation were not present in this subset. Guided by this pattern, we selected representative markers of myogenesis (<italic>Pax7</italic>, <italic>Myod1</italic>, and <italic>Myog</italic>) and proteolysis/atrophy (<italic>Foxo1</italic>, <italic>Fbxo32</italic>, and <italic>Trim63</italic>) for validation (<xref ref-type="bibr" rid="B38">von Maltzahn et al., 2013</xref>; <xref ref-type="bibr" rid="B9">Bodine and Baehr, 2014</xref>; <xref ref-type="bibr" rid="B37">Tsuji et al., 2025</xref>; <xref ref-type="bibr" rid="B3">Adhikari et al., 2021</xref>). Compared with the H group, the HM group exhibited only modest changes in <italic>Pax7</italic>, <italic>Myod1</italic>, and <italic>Myog</italic> expression, whereas <italic>Foxo1</italic>, <italic>Fbxo32</italic>, and <italic>Trim63</italic> were markedly downregulated (<xref ref-type="fig" rid="F6">Figures 6A,B</xref>). These trends were concordant between RNA-seq read counts and qPCR measurements, suggesting that the primary transcriptional effect of MICT is suppression of atrophy-associated programs, with limited induction of myogenic responses.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Expression patterns of key myogenic and atrophy-related genes. RNA-seq counts and relative mRNA expression levels of <bold>(A)</bold> myogenic genes and <bold>(B)</bold> proteolysis/atrophy genes. Relative mRNA expression was normalized to <italic>Gapdh</italic>. &#x2a;&#x2a;<italic>P</italic> &#x3c; 0.01, &#x2a;<italic>P</italic> &#x3c; 0.05.</p>
</caption>
<graphic xlink:href="fphys-17-1796142-g006.tif">
<alt-text content-type="machine-generated">Figure contains two panels labeled A and B, each with six bar graphs comparing gene marker counts and relative mRNA expression across three groups: C, H, and HM. Panel A focuses on myogenesis markers Pax7, Myod1, and Myog, while panel B addresses proteolysis/atrophy markers Foxo1, Fbxo32, and Trim63. Statistically significant differences are indicated by asterisks, with several comparisons showing significance between groups. Blue and red labels distinguish myogenesis and proteolysis/atrophy categories, respectively.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>In the present study, 21 weeks of HFD feeding caused a significant reduction in normalized grip strength, a lower gastrocnemius muscle index, decreased muscle fiber cross-sectional area, and excessive lipid accumulation, collectively indicating muscle wasting.</p>
<p>At the molecular level, these impairments were accompanied by pronounced transcriptional remodeling, characterized by strong induction of genes involved in fatty acid uptake and trafficking (<italic>Cd36</italic>, <italic>Fabp3</italic>, <italic>Dbi</italic>) and lipid droplet scaffolding (<italic>Plin2</italic>, <italic>Plin5</italic>), suggesting an increased capacity for fatty acid import, binding, and storage (<xref ref-type="bibr" rid="B35">Sztalryd and Brasaemle, 2017</xref>; <xref ref-type="bibr" rid="B34">Ramos-Jim&#xe9;nez et al., 2022</xref>; <xref ref-type="bibr" rid="B28">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B23">Knudsen et al., 1993</xref>). Consistently, enrichment analyses highlighted GO terms related to fatty acid metabolism, lipid catabolic processes, and fatty acid &#x3b2;-oxidation, as well as KEGG pathways including fatty acid degradation, PPAR signaling, and fat digestion and absorption, pointing to a transcriptional state dominated by lipid handling.</p>
<p>HFD also elicited coordinated upregulation of mitochondrial and peroxisomal &#x3b2;-oxidation programs. Key transporters and enzymatic components, such as <italic>Slc25a20</italic> and <italic>Cpt2</italic>, together with multiple &#x3b2;-oxidation enzymes (<italic>Acadl</italic>, <italic>Hadha</italic>, <italic>Hadhb</italic>, <italic>Acaa2</italic>, <italic>Ech1</italic>, <italic>Eci2</italic>, <italic>Decr1</italic>, <italic>Etfdh</italic>), were significantly elevated, indicating a transcriptional shift toward enhanced fatty acid oxidation (<xref ref-type="bibr" rid="B39">Wanders et al., 2010</xref>; <xref ref-type="bibr" rid="B40">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B36">Tonazzi et al., 2021</xref>; <xref ref-type="bibr" rid="B15">Dissanayake et al., 2025</xref>). Consistent with this pattern, <italic>Pex11a</italic> and several fatty acid&#x2013;modifying enzymes (<italic>Acot1</italic>, <italic>Acot2</italic>, <italic>Retsat</italic>, <italic>Ephx2</italic>, <italic>Hsdl2</italic>, <italic>Dhrs4</italic>) were also induced, paralleling enrichment of peroxisome-related and fatty acid elongation pathways. These features reflect an increased reliance on lipid utilization, a common adaptation to chronic lipid oversupply. While such remodeling may initially buffer nutrient overload, sustained activation of lipid oxidative pathways has been associated with the accumulation of reactive lipid intermediates, mitochondrial stress, and impaired insulin signaling, providing a plausible mechanistic link to insulin resistance (<xref ref-type="bibr" rid="B4">Aguer et al., 2015</xref>; <xref ref-type="bibr" rid="B17">Fazakerley et al., 2018</xref>; <xref ref-type="bibr" rid="B30">Muoio and Neufer, 2012</xref>).</p>
<p>Notably, enrichment of AMPK and insulin signaling pathways, together with altered expression of genes implicated in carbohydrate metabolism (<italic>Fbp2</italic>, <italic>Slc5a3</italic>, <italic>Impa2</italic>), suggests that carbohydrate handling and energy-sensing networks were engaged alongside the lipid-dominant shift (<xref ref-type="bibr" rid="B7">Bakshi et al., 2018</xref>; <xref ref-type="bibr" rid="B11">Brosch et al., 2022</xref>; <xref ref-type="bibr" rid="B13">Chatree et al., 2020</xref>). This pattern may indicate reduced metabolic flexibility, whereby skeletal muscle increasingly depends on fatty acid catabolism at the expense of efficient glucose utilization. Moreover, KEGG enrichment in valine, leucine and isoleucine degradation and butanoate metabolism suggests recruitment of branched-chain amino acid and short-chain fatty acid pathways, pointing to broader reprogramming of substrate oxidation under HFD feeding.</p>
<p>Beyond metabolic changes, transcriptomic signatures also suggested structural and microenvironmental remodeling. Enrichment of ECM&#x2013;receptor interaction, together with upregulation of <italic>Mmp12</italic>, <italic>Itgad</italic>, and <italic>Angptl4</italic>, suggests activation of extracellular matrix turnover and low-grade inflammatory signaling, which may undermine contractile integrity (<xref ref-type="bibr" rid="B5">Alameddine and Morgan, 2016</xref>; <xref ref-type="bibr" rid="B8">Blythe et al., 2021</xref>; <xref ref-type="bibr" rid="B44">Zuo et al., 2023</xref>). Downregulation of <italic>Slc4a4</italic>, a bicarbonate transporter, may indicate reduced buffering capacity, potentially contributing to impaired contractile performance during repeated activity (<xref ref-type="bibr" rid="B24">Kurtz and Zhu, 2013</xref>).</p>
<p>Taken together, the transcriptomic profile of HFD-fed muscle reveals a lipid-centric metabolic state marked by coordinated upregulation of fatty acid uptake, storage, and oxidation pathways, accompanied by changes in carbohydrate handling, amino acid catabolism, and extracellular matrix remodeling. While these responses may be initially compensatory, they also establish a cellular milieu susceptible to lipotoxic stress, diminished metabolic flexibility, and compromised structural support, thereby providing a mechanistic framework for how chronic HFD predisposes skeletal muscle to dysfunction and insulin resistance.</p>
<p>Against the HFD-induced maladaptive changes described above, MICT markedly alleviated muscle wasting, as indicated by improvements in normalized grip strength, the gastrocnemius muscle index, fiber cross-sectional area, and lipid accumulation. At the molecular level, MICT reshaped the transcriptional landscape by suppressing genes associated with catabolic stress, atrophy, and metabolic inflexibility, while inducing genes linked to angiogenesis, insulin responsiveness, and structural remodeling, collectively reflecting exercise-mediated re-establishment of muscle homeostasis.</p>
<p>An important transcriptional signature of MICT was the repression of the FoxO-driven atrophy program. MICT decreased the expression of the transcription factor <italic>Foxo1</italic> and concomitantly downregulated its downstream E3 ubiquitin ligases <italic>Trim63</italic> and <italic>Fbxo32</italic>, key mediators of ubiquitin&#x2013;proteasome&#x2013;dependent proteolysis in muscle wasting (<xref ref-type="bibr" rid="B32">Peris-Moreno et al., 2020</xref>). In line with these gene-level changes, KEGG analysis showed significant enrichment of the FoxO signaling pathway, indicating that attenuation of FoxO-associated catabolic signaling is a major mechanism underlying MICT&#x2013;mediated muscle preservation under HFD stress. In contrast, myogenic genes (<italic>Pax7</italic>, <italic>Myod1</italic>, <italic>Myog</italic>) exhibited only marginal alterations, indicating that MICT primarily reverses a pro-catabolic, wasting-associated transcriptional program rather than eliciting a robust pro-growth signature. In parallel, suppression of <italic>Pdk4</italic>&#x2014;a key regulator that shifts substrate preference away from glucose oxidation toward fatty acid utilization&#x2014;supports improved metabolic flexibility and potentially enhanced glucose handling (<xref ref-type="bibr" rid="B33">Pettersen et al., 2019</xref>). Reduced expression of <italic>Txnip</italic>, which is linked to oxidative stress and impaired insulin signaling, further suggests attenuation of redox stress and insulin-resistance pressure (<xref ref-type="bibr" rid="B14">Choi and Park, 2023</xref>). Likewise, downregulation of <italic>Angptl4</italic>, typically induced under lipotoxic and inflammatory conditions, is consistent with decreased intramuscular lipid burden.</p>
<p>In addition, MICT upregulated genes involved in cell survival, vascularization, and structural remodeling. For example, <italic>Cited4</italic>, a coactivator implicated in mitochondrial biogenesis and growth, was increased, potentially reflecting enhanced oxidative capacity (<xref ref-type="bibr" rid="B27">Lerchenm&#xfc;ller et al., 2020</xref>). <italic>Mrtfa</italic>, a regulator of actin dynamics and mechanosensitive transcription, together with <italic>Apold1</italic>, which mediates endothelial responses and angiogenic remodeling, points to vascular remodeling and support (<xref ref-type="bibr" rid="B20">Hyv&#xe4;ri et al., 2020</xref>; <xref ref-type="bibr" rid="B16">Fan et al., 2023</xref>). In addition, the upregulation of <italic>Acvr1</italic> and <italic>Ret</italic> suggests broader engagement of growth factor and survival signaling cascades (<xref ref-type="bibr" rid="B31">Pacifici and Shore, 2016</xref>; <xref ref-type="bibr" rid="B12">Carlomagno et al., 2025</xref>). These findings align with GO enrichment in sprouting angiogenesis, response to insulin, and regulation of cytosolic calcium ion concentration, as well as KEGG enrichment in PI3K&#x2013;Akt, MAPK, Rap1, and calcium signaling pathways, indicating transcriptional adaptations that may enhance insulin responsiveness, excitation&#x2013;contraction coupling, and vascular supply, thereby supporting endurance capacity and functional resilience.</p>
<p>Nevertheless, several limitations should be acknowledged. First, the mechanistic inferences in this study are based on transcriptomic profiling of the gastrocnemius muscle. While RNA-seq provides a comprehensive view of gene regulation, it does not necessarily reflect protein abundance, post-translational modifications, enzymatic activity, or metabolic flux. Future studies integrating proteomics and metabolomics, together with targeted assays of pathway activity and substrate utilization, will be important to strengthen causal links between the observed transcriptional programs and functional outcomes. Second, we implemented an 8-week MICT intervention with progressive increases in treadmill speed; however, the present design does not allow determination of the optimal training dose. Systematic comparisons across training durations and intensities will be required to define a dose&#x2013;response relationship for MICT in alleviating obesity-associated muscle wasting. Third, experiments were conducted exclusively in male mice; given well-documented sex differences in hormonal milieu, substrate metabolism, and exercise adaptation, inclusion of female cohorts will be necessary to improve generalizability.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<label>5</label>
<title>Conclusion</title>
<p>These results suggest that MICT mitigates HFD-induced muscle wasting primarily by reprogramming the transcriptome from a lipotoxic, atrophic state toward a more insulin-sensitive, pro-angiogenic profile, with limited myogenic activation.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The RNA-seq data are available in the Gene Expression Omnibus (GEO) database under accession number GSE319603.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The animal study was approved by Institutional Animal Care and Use Committee of Tsinghua University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>WH: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing. JZ: Formal Analysis, Software, Writing &#x2013; review and editing. YL: Investigation, Methodology, Writing &#x2013; review and editing. HY: Writing &#x2013; review and editing. YX: Funding acquisition, Project administration, Writing &#x2013; review and editing. BZ: Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<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="s12">
<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="s13">
<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/fphys.2026.1796142/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphys.2026.1796142/full&#x23;supplementary-material</ext-link>
</p>
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<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1802599/overview">Muaz Belviranli</ext-link>, Sel&#xe7;uk University, T&#xfc;rkiye</p>
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<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3102735/overview">Dae-Gyu Jang</ext-link>, University of Michigan, United States</p>
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