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<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1642389</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2025.1642389</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
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</article-categories>
<title-group>
<article-title>An overview of the multi-dimensional mechanisms of exercise-regulated hormones and growth factors in cardiac physiological adaptation</article-title>
<alt-title alt-title-type="left-running-head">Huang 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.2025.1642389">10.3389/fphys.2025.1642389</ext-link>
</alt-title>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Shuaiwang</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Zhanglin</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2106802/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Haoming</given-names>
</name>
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<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Lan</given-names>
</name>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Zuoqiong</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Peng</surname>
<given-names>Xiyang</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tang</surname>
<given-names>Changfa</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2025305/overview"/>
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<aff>
<institution>Key Laboratory of Physical Fitness and Exercise Rehabilitation of Hunan Province, College of Physical Education, Hunan Normal University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/36860/overview">Thomas William Lowder</ext-link>, Baptist Health Foundation, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1292599/overview">Bing Bo</ext-link>, Henan University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3110017/overview">Bauyrzhan Toktarbay</ext-link>, Nazarbayev University School of Medicine (NUSOM), Kazakhstan</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Zuoqiong Zhou, <email>zhouzuoqiong@hunnu.edu.cn</email>; Xiyang Peng, <email>xiyangpeng@hunnu.edu.cn</email>; Changfa Tang, <email>changfatang@hunnu.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1642389</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Huang, Chen, Li, Zheng, Zhou, Peng and Tang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Huang, Chen, Li, Zheng, Zhou, Peng and Tang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Physiological cardiac hypertrophy represents an adaptive response of the heart to chronic physiological stimuli, including sustained exercise, and is characterized by cardiomyocyte enlargement and structural optimization to enhance pumping efficiency. While several studies on cardiac physiological adaptation have been published recently, a systematic integration of information on exercise-regulated hormonal and growth factor networks remains lacking. To address this limitation, toward the systematization of a &#x2018;multi-dimensional mechanism&#x2019; model, here we review the molecular mechanisms underlying exercise-induced physiological cardiac hypertrophy, with particular focus on how physical activity regulates hormones and growth factors including insulin-like growth factor-1, vascular endothelial growth factor, neuregulin-1, and norepinephrine. These mediators activate intricate signaling pathway networks that promote protein synthesis in cardiomyocytes, strengthen myocardial contractility, and induce angiogenesis. The highlighted findings not only provide novel insights into the cardioprotective mechanisms of exercise but also identify potential biomarkers that enable the development of precision exercise prescriptions tailored to individuals with cardiovascular diseases.</p>
</abstract>
<kwd-group>
<kwd>physiological cardiac hypertrophy</kwd>
<kwd>exercise</kwd>
<kwd>hormones</kwd>
<kwd>growth factors</kwd>
<kwd>mitochondria</kwd>
</kwd-group>
<contract-num rid="cn001">81801392 32100919 32371182</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Exercise Physiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Cardiovascular diseases (CVDs) remain the leading cause of global mortality (<xref ref-type="bibr" rid="B118">Naghavi et al., 2024</xref>). Approximately 20.5 million deaths were reported in 2021&#x2014;accounting for one-third of global mortality&#x2014;as was a substantial increase of over 6 million cases between 1990 and 2019, as per the 2023 World Heart Federation (<xref ref-type="bibr" rid="B118">Naghavi et al., 2024</xref>). Physical inactivity is a key modifiable risk factor contributing to the global burden of CVD. Physiological cardiac hypertrophy is defined as an adaptive myocardial adaptation(physiological) process driven by hemodynamic demands during physiological challenges such as chronic exercise and pregnancy (<xref ref-type="bibr" rid="B159">Weeks and McMullen, 2011</xref>). This non-pathological adaptation involves cardiomyocyte enlargement with concomitant increased myofibril density and diameter, resulting in enhanced contractile function and cardiac output. Key features include preserved or mildly elevated ejection fraction and coronary reserve, proportional angiogenesis, increased myoglobin expression, and the absence of pathological markers such as myocardial fibrosis or necrosis (<xref ref-type="bibr" rid="B131">Qiu et al., 2022</xref>). Furthermore, it is accompanied by increased mitochondrial biogenesis and enhanced mitochondrial function (<xref ref-type="bibr" rid="B1">Abel and Doenst, 2011</xref>). Importantly, this hypertrophic response, with cardioprotective benefits, is reversible (<xref ref-type="bibr" rid="B131">Qiu et al., 2022</xref>). Given the critical role of physiological cardiac hypertrophy in cardiovascular adaptation, elucidating its regulatory mechanisms is a research priority.</p>
<p>Exercise, as a non-invasive intervention, is globally recommended for both preventing and managing CVD. In addition to improving myocardial contractility and endurance capacity, chronic exercise promotes structural cardiac adaptation, with physiological hypertrophy serving as its hallmark adaptation. Dynamic fluctuations in circulating hormones and cytokines during acute exercise and recovery phases act as key mediators of exercise-induced cardiac adaptation (<xref ref-type="bibr" rid="B131">Qiu et al., 2022</xref>). These bioactive molecules activate signaling pathways that regulate cardiomyocyte proliferation, differentiation, and metabolic adaptation, thereby inducing beneficial hypertrophy (<xref ref-type="bibr" rid="B158">Waring et al., 2014</xref>; <xref ref-type="bibr" rid="B31">Chen et al., 2021</xref>). Notably, hormonal and growth factor responses exhibit marked sensitivity to exercise type, intensity, and duration, suggesting the existence of a sophisticated molecular regulatory network. Therefore, studying the exercise-mediated regulation of such biomolecules offers dual benefits: advancing our understanding of cardiac adaptation mechanisms and guiding the design of personalized exercise regimens for cardiovascular rehabilitation. Although existing research has predominantly focused on isolated hormonal pathways, critical knowledge gaps persist regarding (1) the dynamic synergistic regulation of exercise-induced hormonal networks; (2) the dose-response relationships of specific exercise modalities in targeted populations (e.g., individuals with diabetes); and (3) the mechanistic interplay between lymphangiogenesis and fibrotic thresholds. In this study, we address these unresolved questions through multi-dimensional mechanistic integration. This encompasses the hierarchical integration of molecular, cellular, and systemic adaptations orchestrated by exercise-regulated hormonal networks, spanning the following four interconnected dimensions: (1) the molecular dimension involving cross-talk between key signaling pathways activated by hormones and growth factors; (2) the cellular dimension coordinating responses across cardiomyocytes, endothelial cells, and fibroblasts; (3) the temporal dimension reflecting dynamic hormone fluctuations during acute exercise versus chronic training; and (4) the systemic dimension integrating endocrine, exercise, and hemodynamic stimuli. These dimensions function synergistically rather than additively, forming an adaptive network that scales with exercise intensity and duration.</p>
</sec>
<sec id="s2">
<title>2 Exercise-induced myocardial proliferation and growth</title>
<p>Prolonged exercise training leads to morphologic adaptations typical of the athlete&#x2019;s heart syndrome, including the progressive volumetric expansion of cardiomyocytes, with increased sarcomeric diameter (<xref ref-type="bibr" rid="B62">Hastings et al., 2024</xref>). This adaptation process primarily manifests as left ventricular hypertrophy proportional to the exercise intensity and the duration of cumulative training, within established physiological limits (<xref ref-type="bibr" rid="B80">Kemi et al., 2005</xref>). This adaptive transformation involves the coordinated activation of endocrine and paracrine signaling pathways (<xref ref-type="fig" rid="F1">Figure 1</xref>). Specifically, hormonal mediators and growth factors cooperatively regulate the molecular mechanisms that enhance myocardial contractile performance, improve metabolic substrate utilization, and increase cardiac functional reserve. These integrative adaptations collectively enable the cardiovascular system to meet elevated metabolic demands during sustained physical activity while maintaining the hemodynamic equilibrium.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Hormonal and growth factor regulation underlying exercise-induced myocardial proliferation and growth. Exercise stimulates the secretion of key hormones and growth factors, including IGF-1, HGF, testosterone, NRG1, and triiodothyronine (T3), which bind to their cognate receptors to activate downstream PI3K/AKT and MEK/ERK1/2 signaling cascades. These pathways collectively orchestrate cardiomyocyte proliferation and hypertrophic growth. Concomitantly, exercise induces paracrine VEGF secretion from cardiomyocytes, which binds to endothelial cell surface receptors to initiate Notch signaling. This intercellular crosstalk promotes endothelial NRG1 release, which together with circulatory NRG1, amplifies ErbB-mediated signaling in cardiomyocytes, thereby establishing a coordinated microenvironment for adaptive cardiac adaptation. IGF-1, insulin-like growth factor-1; IRS1, insulin receptor substrates 1; PI3K, phosphoinositide 3-kinase; AKT, protein kinase B; ERKs, extracellular signal-regulated kinases; MEK, mitogen-activated protein kinase; NRG1, neuregulin-1; HGF, hepatocyte growth factor; VEGF, vascular endothelial growth factor.</p>
</caption>
<graphic xlink:href="fphys-16-1642389-g001.tif">
<alt-text content-type="machine-generated">Illustration showing cellular signaling pathways related to exercise and their effects on cardiomyocytes. It includes interactions of exercise with IGF-1, HGF, testosterone, and pathways involving IGF1R, MET, IRS1/2, PI3K, Akt, mTOR, NRG1, VEGFR2, Notch, AR, TR&#x3B1;, and proteins like MEK and ERK1/2. Pathways are represented by arrows indicating activation and signaling cascade directions.</alt-text>
</graphic>
</fig>
<sec id="s2-1">
<title>2.1 Insulin-like growth Factor-1 (IGF-1)</title>
<p>IGF-1, a multifunctional peptide hormone, regulates cardiac metabolic homeostasis, hypertrophic adaptation, cellular senescence, and apoptosis through IGF-1 receptor (IGF1R)-mediated signaling pathways (<xref ref-type="bibr" rid="B151">Troncoso et al., 2014</xref>). Previous studies have reported that moderate-intensity aerobic exercise enhances cardiac expression of IGF-1 and IGF1R (<xref ref-type="bibr" rid="B160">Weeks et al., 2017</xref>; <xref ref-type="bibr" rid="B32">Cheng et al., 2013</xref>). For instance, a 4-week swimming training protocol significantly increased myocardial IGF-1 mRNA levels in zebrafish (<xref ref-type="bibr" rid="B31">Chen et al., 2021</xref>). have, murine models with partial IGF-1 deficiency exhibit impaired cardiac function and fibrotic remodeling(pathological) (<xref ref-type="bibr" rid="B52">Gonz&#xe1;lez-Guerra et al., 2017</xref>). Mechanistically, IGF-1 regulates cardiac mass and function via insulin receptor substrates 1 (IRS1) and 2, as genetic knockout of both IRS isoforms abolishes exercise-induced physiological hypertrophy (<xref ref-type="bibr" rid="B133">Riehle et al., 2014</xref>). The phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) axis, a key downstream target of IRS signaling, controls myocardial growth dynamics. Dysregulation of this pathway, characterized by reduced PI3K activation and increased Akt dephosphorylation, significantly compromises cardiac adaptation to exercise (<xref ref-type="bibr" rid="B133">Riehle et al., 2014</xref>).</p>
<p>Furthermore, extracellular signal-regulated kinases (ERKs) serve as complementary signaling mediators for IGF-1-induced physiological cardiomyocyte hypertrophy. These mitogen-activated protein kinases play dual roles in physiological and pathological cardiac remodeling (<xref ref-type="bibr" rid="B51">Gallo et al., 2019</xref>). Notably, the mitogen-activated protein kinase (MEK)/ERK cascade interacts synergistically with PI3K/Akt signaling to coordinate the transcriptional regulation of cardiomyocyte growth and proliferation, forming an integrated signaling network that modulates hypertrophic responses to hemodynamic stress (<xref ref-type="bibr" rid="B29">Chattergoon et al., 2014</xref>; <xref ref-type="bibr" rid="B146">Sundgren et al., 2003</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Testosterone</title>
<p>Testosterone, a steroid hormone produced in Leydig cells, the ovaries, and the adrenal cortex, has cardioprotective effects by mitigating fibrotic remodeling and oxidative stress (<xref ref-type="bibr" rid="B13">Bianchi, 2018</xref>). Acute high-intensity resistance exercise induces rapid testosterone surges, primarily mediated by activating the hypothalamic-pituitary-gonadal axis, and transient decreases in plasma sex hormone-binding globulin levels during intense physical exertion (<xref ref-type="bibr" rid="B154">Vingren et al., 2010</xref>). Androgen signaling enhances cardiac IGF-1 expression, with testosterone supplementation inducing dose-dependent increases in myocardial mass and IGF-1 content in preclinical models (<xref ref-type="bibr" rid="B172">Zebrowska et al., 2017</xref>). At the molecular level, testosterone interacts with nuclear androgen receptors (AR) in cardiomyocytes (<xref ref-type="bibr" rid="B70">J&#xe4;nne et al., 1993</xref>), triggering MEK/ERK1/2 signaling, which activates the mTORC1/S6K1 pathway, ultimately driving physiological hypertrophy development (<xref ref-type="bibr" rid="B4">Altamirano et al., 2009</xref>).</p>
</sec>
<sec id="s2-3">
<title>2.3 Thyroid hormones</title>
<p>Thyroid hormones, which are essential nuclear receptor ligands for cardiac morphogenesis and metabolic regulation, primarily act through the peripheral conversion of thyroxine (T4) to bioactive triiodothyronine (T3), mediated by type 2 deiodinase (<xref ref-type="bibr" rid="B116">Mullur et al., 2014</xref>). Acute moderate-to-vigorous aerobic exercise induces transient increases in serum T3, T4, and thyroid-stimulating hormone levels (<xref ref-type="bibr" rid="B57">Hackney and Saeidi, 2019</xref>). These hormones bind to cardiac thyroid hormone receptors TR&#x3b1;1 (localized in the nucleus and cytoplasm) and TR&#x3b2;1 (<xref ref-type="bibr" rid="B116">Mullur et al., 2014</xref>). In turn, TR&#x3b1;1 initiates rapid PI3K activation and subsequent Akt-mTOR-S6K pathway stimulation following T3 binding (<xref ref-type="bibr" rid="B76">K et al., 2006</xref>). Simultaneously, T3 promotes ERK phosphorylation in cardiomyocytes, establishing a synergistic signaling mechanism that enhances protein synthesis and contractile machinery adaptation, ultimately improving cardiac contractility (<xref ref-type="bibr" rid="B29">Chattergoon et al., 2014</xref>).</p>
</sec>
<sec id="s2-4">
<title>2.4 Neuregulin-1(NRG1)</title>
<p>NRG1, a key member of the epidermal growth factor family in the cardiovascular system (<xref ref-type="bibr" rid="B40">Falls, 2003</xref>), modulates multiple cardiac processes, including myocardial metabolism, cellular proliferation, and regeneration. Chronic exercise training enhances NRG1/ErbB signaling (<xref ref-type="bibr" rid="B22">Cai et al., 2016</xref>), since pharmacological inhibition of this pathway abolishes exercise-mediated cardiac repair in rodent models (<xref ref-type="bibr" rid="B22">Cai et al., 2016</xref>). Specifically, endothelial-derived NRG1 acts via paracrine signaling, binding to ErbB3/ErbB4 receptors on neighboring cardiomyocytes to initiate ErbB2 heterodimer formation (<xref ref-type="bibr" rid="B126">Odiete et al., 2012</xref>). These receptor complexes, particularly ErbB2/ErbB4 heterodimers, are critical for cardiomyocyte proliferation by activating downstream PI3K/Akt signaling, which, in turn, coordinates ventricular myocyte differentiation and hypertrophic growth (<xref ref-type="bibr" rid="B176">Zhao et al., 1998</xref>).</p>
</sec>
<sec id="s2-5">
<title>2.5 Hepatocyte growth factor (HGF)</title>
<p>HGF has multifunctional cardioprotective effects, including th inhibiting apoptosis and autophagy, promoting angiogenesis, suppressing fibrosis and inflammation, regulating immune function, and stimulating cardiomyocyte regeneration (<xref ref-type="bibr" rid="B5">Arechederra et al., 2013</xref>; <xref ref-type="bibr" rid="B50">Gallo et al., 2015</xref>). Chronic aerobic exercise induces the significant upregulation of myocardial HGF expression (<xref ref-type="bibr" rid="B173">Zhang et al., 2021</xref>). Mechanistically, HGF signaling is mediated by c-Met tyrosine kinase receptors. Upon ligand binding, receptor autophosphorylation initiates activation of the PI3K/Akt signaling cascade (<xref ref-type="bibr" rid="B50">Gallo et al., 2015</xref>; <xref ref-type="bibr" rid="B49">Gallo et al., 2014</xref>). Notably, transgenic HGF overexpression improves post-myocardial infarction recovery in murine models by enhancing angiogenesis, reducing cardiomyocyte apoptosis, and restoring ventricular contractile function (<xref ref-type="bibr" rid="B71">Jayasankar et al., 2005</xref>).</p>
<p>Emerging evidence indicates that diverse exercise paradigms elicit distinct endocrine and cardiovascular adjustments across various demographic groups, potentially influencing myocardial proliferation and growth outcomes. Consequently, exercise prescriptions should be personalized according to individual health profiles. In patients recovering from myocardial infarction, low-intensity aerobic training predominantly elevates IGF-1 and NRG1 levels while mitigating exercise-induced cardiovascular risks (<xref ref-type="bibr" rid="B22">Cai et al., 2016</xref>; <xref ref-type="bibr" rid="B148">Tan et al., 2023</xref>). In normotensive individuals, both acute and chronic aerobic or resistance training foster cardiovascular adaptation, with high-intensity resistance training demonstrating superior efficacy in enhancing anabolic hormone profiles (IGF-1, testosterone) (<xref ref-type="bibr" rid="B53">Grubb et al., 2014</xref>; <xref ref-type="bibr" rid="B139">Seo et al., 2018</xref>), whereas HGF reaches peak levels following prolonged endurance exercise (<xref ref-type="bibr" rid="B19">Bonsignore et al., 1985</xref>). Notably, obese populations experience acute exercise-induced endocrine dysregulation, marked by heightened catecholamine responses and aberrant fluctuations in testosterone, growth hormone, and thyroxine (<xref ref-type="bibr" rid="B60">Hansen et al., 2012</xref>). In contrast, systematic exercise training restores endocrine homeostasis, significantly improving hormonal balance and metabolic regulation in this demographic (<xref ref-type="bibr" rid="B60">Hansen et al., 2012</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>3 Exercise-induced cardiovasculogenesis and lymphangiogenesis</title>
<p>Physical training enhances coronary vasodilation, improves myocardial perfusion, and stimulates capillary network expansion through neovascularization and collateral vessel formation. Cardiac lymphatic vessels regulate interstitial fluid clearance, directing the subendocardial drainage toward the epicardial collectors, which ultimately drain via mediastinal lymph nodes into the venous system (<xref ref-type="bibr" rid="B103">Liu and Oliver, 2023</xref>). Exercise-induced lymphangiogenesis serves as an adaptive mechanism that alleviates inflammatory cell infiltration, suppresses fibrotic remodeling, and reduces myocardial edema (<xref ref-type="bibr" rid="B66">Henri et al., 2016</xref>). Furthermore, itprovides therapeutic benefits in ischemic cardiomyopathy (<xref ref-type="bibr" rid="B141">Shimizu et al., 2018</xref>).</p>
<p>This coordinated vascular-lymphatic adaptation is regulated by exercise-modulated catecholamines and growth factors such as vascular endothelial growth factor (VEGF) and HGF (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Molecular mechanisms of exercise-induced cardiovascular and lymphatic angiogenesis. Exercise elevates circulating hepatocyte growth factor (HGF) and norepinephrine (NE) levels while stimulating cardiomyocyte-derived vascular endothelial growth factor (VEGF) secretion. HGF binds to c-Met receptors on endothelial cells, facilitating their proliferation and migration. Concurrently, NE and VEGF engage &#x3b2;3-adrenergic receptors (&#x3b2;3-AR) and VEGFR2, respectively, activating the PI3K/AKT/eNOS/NO signaling axis to orchestrate coronary angiogenesis. Furthermore, VEGF interacts with VEGFR3 on lymphatic endothelial cells, upregulating the lymphangiogenic markers LYVE-1 and podoplanin, thereby establishing a dual regulatory network of coordinated vascular and lymphatic adaptation. PI3K, phosphoinositide 3-kinase; AKT, protein kinase B; eNOS, endothelial nitric oxide synthase; NO, nitric oxide.</p>
</caption>
<graphic xlink:href="fphys-16-1642389-g002.tif">
<alt-text content-type="machine-generated">Diagram illustrating the effects of exercise on endothelial cells. Exercise prompts HGF and NE release, engaging MET and &#x3B2;3-AR receptors in vascular endothelial cells, leading to endothelial cell proliferation via PI3K, AKT, and eNOS pathways, producing NO. Cardiomyocytes release VEGF, stimulating VEGFR2 and VEGFR3 in vascular and lymphatic endothelial cells, respectively, enhancing expressions of Podoplanin and LYVE-1.</alt-text>
</graphic>
</fig>
<sec id="s3-1">
<title>3.1 VEGF</title>
<p>The VEGF family coordinates vascular and lymphatic development through receptor-specific interactions: VEGF-A, VEGF-B, and placental growth factor (PlGF) bind VEGFR1, whereas VEGF-C and VEGF-D selectively activate VEGFR3 (<xref ref-type="bibr" rid="B45">Ferrara et al., 2003</xref>). VEGFR2 serves as the pivotal receptor orchestrating angiogenesis (<xref ref-type="bibr" rid="B78">Kappas et al., 2008</xref>). Under VEGFR1 deficiency or elevated VEGF-B/PlGF bioavailability, VEGF exhibits enhanced binding affinity to VEGFR2 leading to a higher activation efficacy and amplified angiogenic processes (<xref ref-type="bibr" rid="B140">Shibuya, 2006</xref>). Exercise induces cardiomyocyte-derived VEGF paracrine signaling, which activates endothelial VEGFRs to stimulate the PI3K/Akt and endothelial nitric oxide synthase (eNOS)/nitric oxide (NO) pathways (<xref ref-type="bibr" rid="B161">Wilson et al., 2015</xref>; <xref ref-type="bibr" rid="B39">Dimmeler et al., 1999</xref>). The eNOS/NO axis plays a pivotal role in coronary angiogenesis and cardioprotection (<xref ref-type="bibr" rid="B12">Bernardo et al., 2018</xref>), with Akt-dependent eNOS phosphorylation serving as a central regulatory mechanism (<xref ref-type="bibr" rid="B39">Dimmeler et al., 1999</xref>). Coronary angiogenesis modulates hypertrophic responses, as evidenced by endothelial VEGFR2/Notch-dependent NRG1 release, promoting physiological hypertrophy (<xref ref-type="bibr" rid="B84">Kivel&#xe4; et al., 2019</xref>).</p>
<p>VEGF-C and VEGF-D are primary mediators of exercise-induced lymphangiogenesis. Recent studies found that LYVE-1 facilitates lymphatic endothelial cell (LEC) migration via integrin &#x3b1;9&#x3b2;1 signaling (<xref ref-type="bibr" rid="B26">Capuano et al., 2019</xref>), whereas podoplanin mediates lymphatic lumen formation through CLEC-2 receptor-dependent mechanisms (<xref ref-type="bibr" rid="B147">Suzuki-Inoue et al., 2018</xref>). In murine models, swimming and eccentric training upregulate cardiac VEGF-C and VEGF-D expression (<xref ref-type="bibr" rid="B7">Bei et al., 2022</xref>), which bind VEGFR3 onLECs to enhance lymphatic density and upregulate the lymphangiogenic markers LYVE-1 and podoplanin. Pharmacological VEGFR3 inhibition blocks exercise-mediated lymphangiogenesis (<xref ref-type="bibr" rid="B7">Bei et al., 2022</xref>), while LYVE-1 facilitates endothelial migration (<xref ref-type="bibr" rid="B164">Wu et al., 2014</xref>). Podoplanin, a LEC-specific glycoprotein, controls lymphatic morphogenesis, as its deficiency causes lymphatic maldevelopment and nodal edema (<xref ref-type="bibr" rid="B135">Schacht et al., 2003</xref>).</p>
</sec>
<sec id="s3-2">
<title>3.2 HGF</title>
<p>HGF has pleiotropic effects on cardiovascular homeostasis through its high-affinity receptor, c-Met tyrosine kinase. Mechanistically, HGF stimulates endothelial cell proliferation and migration while suppressing apoptosis via PI3K/Akt and MAPK/ERK signaling cascades, thereby promoting neovascularization (<xref ref-type="bibr" rid="B21">Bussolino et al., 1992</xref>). This pro-angiogenic action is amplified through synergistic interactions with VEGF and angiopoietin-1, which collectively stabilize nascent vessels by recruiting pericytes and enhancing endothelial barrier function (<xref ref-type="bibr" rid="B50">Gallo et al., 2015</xref>). In preclinical chronic ischemic models (e.g., porcine myocardial infarction), intramyocardial HGF administration increases capillary density by 30%&#x2013;40% and improves regional blood flow, as quantified using microsphere perfusion assays. These benefits extend to functional outcomes, with HGF-treated animals exhibiting enhanced left ventricular ejection fraction and reduced infarct size (<xref ref-type="bibr" rid="B170">Yuan et al., 2012</xref>). However, HGF&#x2019;s role is context-dependent: while beneficial in ischemia, HGF exacerbates tumor angiogenesis and atherosclerotic plaque vulnerability by upregulating matrix metalloproteinases (MMPs) and promoting intraplaque neovascularization (<xref ref-type="bibr" rid="B2">Abounader and Laterra, 2005</xref>; <xref ref-type="bibr" rid="B106">Ma et al., 2002</xref>).</p>
</sec>
<sec id="s3-3">
<title>3.3 Epinephrine and norepinephrine</title>
<p>Exercise-induced catecholamine release mediates sympatho-adrenal activation, enhancing cardiac output through chronotropic and inotropic effects while regulating vascular tone (<xref ref-type="bibr" rid="B115">Motiejunaite et al., 2021</xref>). Chronic activation of the endothelial &#x3b2;3-adrenergic receptor (&#x3b2;3-AR) represents a cardioprotective mechanism. &#x3b2;3-AR signaling stimulates eNOS through its phosphorylation at Ser1177 and dephosphorylation at Thr495, amplifying NO production without altering eNOS expression (<xref ref-type="bibr" rid="B23">Calvert et al., 2011</xref>). Notably, adrenaline-deficient mice develop pathological left ventricular hypertrophy after 6 weeks of treadmill training, characterized by interstitial fibrosis and impaired diastolic function; this phenotype is rescued by &#x3b2;3-AR agonist treatment (<xref ref-type="bibr" rid="B111">Mendes et al., 2018</xref>). These findings highlight &#x3b2;3-AR&#x2019;s unique role in balancing exercise-induced hemodynamic stress and adaptive vascular growth.</p>
<p>Exercise triggers a complex molecular cascade that regulates coronary and lymphatic vascular development. The VEGF family (VEGF-A/B, PlGF, and VEGF-C/D) and their receptors (VEGFR1-3) coordinate angiogenesis and lymphangiogenesis (<xref ref-type="bibr" rid="B45">Ferrara et al., 2003</xref>). VEGFR2 is pivotal for angiogenesis, with heightened activity under VEGFR1 suppression or elevated VEGF-B/PlGF signaling (<xref ref-type="bibr" rid="B78">Kappas et al., 2008</xref>; <xref ref-type="bibr" rid="B140">Shibuya, 2006</xref>). Cardiomyocyte-derived VEGF activates endothelial VEGFRs, initiating PI3K/Akt and eNOS/NO pathways critical for coronary angiogenesis and cardioprotection (<xref ref-type="bibr" rid="B161">Wilson et al., 2015</xref>; <xref ref-type="bibr" rid="B39">Dimmeler et al., 1999</xref>). VEGF-C/D drive lymphangiogenesis via LYVE-1-mediated endothelial migration and podoplanin-dependent lumen formation (<xref ref-type="bibr" rid="B7">Bei et al., 2022</xref>). HGF complements these effects by promoting endothelial proliferation/migration and neovascularization through PI3K/Akt and MAPK/ERK pathways, synergizing with VEGF and angiopoietin-1 to enhance outcomes (beneficial in ischemia but risk-augmenting in tumors/atherosclerosis) (<xref ref-type="bibr" rid="B50">Gallo et al., 2015</xref>; <xref ref-type="bibr" rid="B21">Bussolino et al., 1992</xref>). Catecholamines (epinephrine/norepinephrine) released during exercise activate sympatho-adrenal signaling via &#x3b2;3-ARs, boosting cardiac output, modulating vascular tone, and amplifying NO production via eNOS activation, reinforcing cardioprotection (<xref ref-type="bibr" rid="B23">Calvert et al., 2011</xref>; <xref ref-type="bibr" rid="B111">Mendes et al., 2018</xref>). While exercise improves coronary perfusion, prolonged endurance training may induce maladaptive coronary changes (<xref ref-type="bibr" rid="B101">Lin et al., 2017</xref>). Optimizing exercise protocols for coronary disease requires precision medicine&#x2014;tailoring regimens using dose-response modeling, biomarkers, and psychosocial profiling to maximize therapeutic benefits while mitigating risks.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Exercise-mediated mitochondrial adaptation and metabolic reprogramming</title>
<p>Mitochondrial dysfunction is a hallmark of CVD. Importantly, moderate exercise activates mitochondrial adaptation through enhanced respiratory chain activity, and improved quality control (biogenesis, mitophagy, and fusion/fission dynamics), leading to the maintenance of cellular homeostasis (<xref ref-type="bibr" rid="B54">Guan et al., 2019</xref>; <xref ref-type="bibr" rid="B25">Campos et al., 2017</xref>). For instance, a 3-week endurance training program was shown to normalize the redox balance and restore mitochondrial efficiency in a high-fat diet-induced rodent model (<xref ref-type="bibr" rid="B150">Tocantins et al., 2023</xref>). Central to this adaptation is the peroxisome proliferator-activated receptor gamma coactivator-1&#x3b1; (PGC-1&#x3b1;), a master transcriptional regulator abundantly expressed in cardiomyocytes. PGC-1&#x3b1; coordinates mitochondrial biogenesis by interacting with nuclear receptors (peroxisome proliferator-activated receptor &#x3b1;[PPARs] and estrogen-related receptor [ERRs]) and transcription factors (NRF-1/2), thereby promoting the oxidative phosphorylation capacity, fatty acid &#x3b2;-oxidation, and mitochondrial DNA replication (<xref ref-type="fig" rid="F3">Figure 3</xref>) (<xref ref-type="bibr" rid="B46">Finck and Kelly, 2006</xref>; <xref ref-type="bibr" rid="B93">Lehman et al., 2000</xref>). Furthermore, the synergistic interaction between ERR&#x3b1; and PGC-1&#x3b1; fine-tunes mitochondrial gene networks to ensure metabolic flexibility (<xref ref-type="bibr" rid="B136">Schreiber et al., 2004</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Molecular mechanisms of exercise-induced mitochondrial adaptation and metabolic optimization. Exercise upregulates the cardiac expression of NE, IGF-1, and APN. NE engages&#x3b2;3-AR to activate the eNOS/NO signaling axis, subsequently amplifying the expression of PGC-1&#x3b1;. Concurrently, IGF-1 and APN stimulate the activation of PGC-1&#x3b1; through their respective receptors. This transcriptional coactivator orchestrates mitochondrial reprogramming by synergizing with PPAR&#x3b1; and ERRs to enhance fatty acid &#x3b2;-oxidation, while also collaborating with NRF-1 and ERRs to upregulate the expression of Tfam. This coordinated regulation drives mitochondrial DNA transcription and biogenesis, and consequently energy substrate optimization and enhanced oxidative capacity.NE, norepinephrine; IGF-1, insulin-like growth factor-1; APN, adiponectin; &#x3b2;3-AR, &#x3b2;3-adrenergic receptors; PGC-1&#x3b1;, peroxisome proliferator-activated receptor gamma coactivator-1&#x3b1;; ERRs, estrogen-related receptors; NRF-1, nuclear respiratory factor-1; Tfam, mitochondrial transcription factor A.</p>
</caption>
<graphic xlink:href="fphys-16-1642389-g003.tif">
<alt-text content-type="machine-generated">Diagram illustrating the effects of exercise on cellular pathways. Exercise activates pathways involving &#x3B2;3-AR, IGFR, and AdipoR, leading to PGC-1&#x3B1; stimulation. This enhances nitric oxide production, fatty acid oxidation, and upregulates PGC-1&#x3B1;, PPAR&#x3B1;, ERR, and NRF-1, promoting mitochondrial biogenesis.</alt-text>
</graphic>
</fig>
<sec id="s4-1">
<title>4.1 Epinephrine and norepinephrine</title>
<p>Exercise-induced sympathoadrenal activation elevates circulating catecholamines (epinephrine and norepinephrine) and upregulates cardiac&#x3b2;3-AR expression. &#x3b2;3-AR signaling enhances the activity of eNOS through two post-translational modifications: the phosphorylation of Ser1177 (activation) and the dephosphorylation of Thr495 (inactivation); these collectively amplify eNOS-derived NO production without altering total eNOS protein levels (<xref ref-type="bibr" rid="B23">Calvert et al., 2011</xref>). The resultant NO/cGMP signaling cascade activates PGC-1&#x3b1;, NRF-1, and mitochondrial transcription factor A, driving mitochondrial biogenesis and respiratory chain optimization (<xref ref-type="bibr" rid="B124">Nisoli et al., 2004</xref>). This pathway is indispensable for exercise-induced metabolic adaptation, as evidenced by eNOS-knockout mice, which fail to show mitochondrial proliferation or improved oxidative capacity following training (<xref ref-type="bibr" rid="B123">Nisoli et al., 2003</xref>; <xref ref-type="bibr" rid="B153">Vettor et al., 2014</xref>). The age-associated decline in mitochondrial integrity observed in cardiovascular pathologies may be associated with &#x3b2;3-AR downregulation.</p>
</sec>
<sec id="s4-2">
<title>4.2 IGF-1</title>
<p>IGF-1, elevated in response to both acute and chronic exercise, coordinates myocardial energy substrate utilization via IRS-mediated pathways. IRS1/2 are critical adapters linking IGF-1 receptor activation to downstream effectors. Notably, IRS deficiency disrupts the exercise-induced stabilization of PGC-1&#x3b1; at the protein level even if the mRNA levels are unchanged, highlighting the role of IRS in post-transcriptional regulation, such as mTORC1-dependent translation (<xref ref-type="bibr" rid="B133">Riehle et al., 2014</xref>). IGF-1 finally enhances fatty acid &#x3b2;-oxidation by upregulating PPAR&#x3b1; and carnitine palmitoyltransferase 1B, while simultaneously optimizing glucose metabolism during high-intensity exercise through GLUT4 translocation and hexokinase II activation (<xref ref-type="bibr" rid="B48">Friehs et al., 2001</xref>).</p>
</sec>
<sec id="s4-3">
<title>4.3 Adiponectin (APN)</title>
<p>APN, an adipocytokine inversely correlated with the body mass index, is robustly elevated by high-intensity exercise, particularly in individuals with obesity or metabolic syndrome (<xref ref-type="bibr" rid="B81">Khalafi and Symonds, 2020</xref>). APN stimulates mitochondrial biogenesis through the following two synergistic mechanisms: (1) transcriptional activation of PGC-1&#x3b1; by inhibiting AMP-activated protein kinase-dependent histone deacetylase (HDAC), and (2) post-translational deacetylation of PGC-1&#x3b1; by SIRT1, increasing its transcriptional coactivator function (<xref ref-type="bibr" rid="B100">Lin et al., 2013</xref>). In murine models, APN administration rescues doxorubicin-induced mitochondrial fragmentation by restoring the fusion-fission balance via mitofusin-2 and dynamin-related protein 1 regulation; conversely, APN knockout mice exhibit defective oxidative phosphorylation and accelerated cardiac aging (<xref ref-type="bibr" rid="B166">Yan et al., 2013</xref>). Clinically, exercise-induced APN elevation correlates with improved insulin sensitivity and reduced intramyocardial lipid deposition in patients with diabetes, suggesting that APN is both a biomarker and mediator of exercise benefits in metabolic heart disease (<xref ref-type="bibr" rid="B92">Lee et al., 2011</xref>).</p>
<p>The interplay between exercise-induced hormonal regulators (catecholamines, IGF-1, and APN) and PGC-1&#x3b1; orchestrates mitochondrial adaptation and metabolic reprogramming critical for cardiovascular adaptation. &#x3b2;3-AR-mediated eNOS activation amplifies NO/cGMP signaling, driving PGC-1&#x3b1;-dependent mitochondrial biogenesis and respiratory chain optimization (<xref ref-type="bibr" rid="B124">Nisoli et al., 2004</xref>). IGF-1, elevated by exercise, coordinates energy substrate utilization via IRS1/2-dependent pathways, stabilizing PGC-1&#x3b1; protein levels through mTORC1-regulated translation and enhancing fatty acid oxidation and glucose metabolism (<xref ref-type="bibr" rid="B133">Riehle et al., 2014</xref>; <xref ref-type="bibr" rid="B48">Friehs et al., 2001</xref>; <xref ref-type="bibr" rid="B132">Ren et al., 1999</xref>). APN, robustly induced by high-intensity exercise, synergistically activates PGC-1&#x3b1; transcriptionally (via AMPK-HDAC inhibition) and post-translationally (via SIRT1-mediated deacetylation), restoring mitochondrial dynamics and improving oxidative phosphorylation (<xref ref-type="bibr" rid="B100">Lin et al., 2013</xref>). Collectively, aerobic and resistance training counteract age-related PGC-1&#x3b1; suppression (<xref ref-type="bibr" rid="B121">Neto et al., 2023</xref>; <xref ref-type="bibr" rid="B174">Zhang et al., 2024</xref>), likely through catecholamine- and APN-driven metabolic reprogramming, establishing a mechanistic framework for precision exercise interventions targeting metabolic and age-related cardiovascular disorders.</p>
</sec>
</sec>
<sec id="s5">
<title>5 Exercise-mediated attenuation of cardiac fibrosis</title>
<p>Cardiac fibrosis, defined as the pathological replacement of cardiomyocytes with a collagenous matrix following injury or necrosis (<xref ref-type="bibr" rid="B41">Fan and Kassiri, 2021</xref>), represents a terminal pathological process in CVD. Notably, exercise has therapeutic effects against fibrosis induced by diverse etiologies, including hypertension, rheumatoid arthritis, and aging (<xref ref-type="bibr" rid="B67">Hong et al., 2022</xref>; <xref ref-type="bibr" rid="B129">Peyronnel et al., 2024</xref>; <xref ref-type="bibr" rid="B163">Wright et al., 2014</xref>). This cardioprotective action is mediated via testosterone, HGF, and fibroblast growth factor 21 (FGF21) signaling pathways (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Molecular mechanisms of exercise-induced cardiac anti-fibrotic effects. Exercise induces the cardiac upregulation of testosterone, HGF, FGF21, ANP, and BNP, which collectively suppress fibrogenesis via inhibition of the TGF&#x3b2;1/Smad pathway in cardiac fibroblasts. Testosterone attenuates collagen synthesis through two mechanisms: (1) Suppression of TGF&#x3b2;1/Smad signaling and (2) NO-mediated inhibition of Ca<sup>2&#x2b;</sup>/CaMKII. HGF antagonizes downstream effectors of TGF&#x3b2;1, including CTGF, preventing ECM deposition. FGF21 upregulates EGR1, which represses collagen and TGF-&#x3b2;1 expression. ANP/BNP signaling through GCA receptors inhibits calcineurin/NFAT, NHE-1, and TGF&#x3b2;1/Smad cascades, establishing a multi-targeted anti-fibrotic regulatory network.HGF, hepatocyte growth factor; FGF21, fibroblast growth factor 21; ANP, atrial natriuretic peptide; BNP, B-type natriuretic peptide; TGF&#x3b2;1,Transforming growth factor-&#x3b2;1; NO, nitric oxide; CaMKII, calmodulin-dependent protein kinase II; CTGF, connective tissue growth factor; ECM, extracellular matrix; EGR1, early growth response protein 1; GCA, guanylyl cyclase-A; NHE-1, sodium-hydrogen exchanger 1</p>
</caption>
<graphic xlink:href="fphys-16-1642389-g004.tif">
<alt-text content-type="machine-generated">Diagram illustrating the signaling pathways influenced by exercise, leading to the regulation of TGF-&#x3B2;1. Exercise increases levels of testosterone, HGF, FGF21, and ANP/BNP, affecting various receptors and pathways including MET, FGFR, and GCA receptor. These pathways interact with mediators like CTGF, EGR1, and others, ultimately influencing TGF-&#x3B2;1 activity through elements like Smad and NFAT, which can affect myofibroblast function and gene expression.</alt-text>
</graphic>
</fig>
<sec id="s5-1">
<title>5.1 Testosterone</title>
<p>Transforming growth factor-&#x3b2;1 (TGF-&#x3b2;1), a master regulator of fibrogenesis, drives myofibroblast differentiation, extracellular matrix (ECM) deposition (e.g., collagen I/III and fibronectin), and pro-fibrotic gene activation (e.g., &#x3b1;-smooth muscle actin [&#x3b1;-SMA] and connective tissue growth factor [CTGF]) (<xref ref-type="bibr" rid="B41">Fan and Kassiri, 2021</xref>). Exercise-induced testosterone elevation counteracts these processes via a dual mechanism. First, testosterone attenuates TGF-&#x3b2;1-mediated phosphorylation of the Akt/mTOR/4EBP1 axis in cardiac fibroblasts, thereby suppressing proliferation, ECM synthesis, and myofibroblast transdifferentiation (<xref ref-type="bibr" rid="B33">Chung et al., 2014</xref>). Second, androgenic signaling increases NO production through eNOS activation. NO exerts anti-fibrotic effects by inhibiting Ca<sup>2&#x2b;</sup>/calmodulin-dependent protein kinase II, which promotes collagen synthesis via histone deacetylase 4 nuclear translocation (<xref ref-type="bibr" rid="B34">Chung et al., 2021</xref>). In fact, preclinical studies reported that rodents with impaired NO synthesis (e.g., eNOS knockout mice) exhibited exacerbated pathological remodeling following exercise, highlighting NO&#x2019;s critical role in maintaining fibrotic homeostasis (<xref ref-type="bibr" rid="B142">Souza et al., 2007</xref>).</p>
</sec>
<sec id="s5-2">
<title>5.2 HGF</title>
<p>HGF, upregulated by chronic aerobic exercise, exerts anti-fibrotic effects through multiple molecular pathways mediated by its tyrosine kinase receptor c-MET. First, HGF directly suppresses the transcription of TGF-&#x3b2;1 in cardiac fibroblasts, thereby reducing the bioavailability of TGF-&#x3b2;1 and limiting pro-fibrotic signaling (<xref ref-type="bibr" rid="B119">Nakamura et al., 2005</xref>). Second, HGF activates the ERK1/2/MAPK signaling cascade, which induces the expression of decorin, a small leucine-rich proteoglycan that binds and sequesters TGF-&#x3b2;1 within the ECM. This spatial neutralization prevents TGF-&#x3b2;1 from engaging its receptor, effectively blunting the downstream Smad2/3 phosphorylation and subsequent fibrotic gene activation (<xref ref-type="bibr" rid="B86">Kobayashi et al., 2003</xref>). Finally, HGF attenuates fibrosis by downregulating key markers of myofibroblast activation, including CTGF, a downstream effector of TGF-&#x3b2;1, and &#x3b1;-SMA, a hallmark of fibroblast-to-myofibroblast transition (<xref ref-type="bibr" rid="B50">Gallo et al., 2015</xref>). Collectively, these mechanisms underscore HGF&#x2019;s pivotal role in mitigating ECM remodeling and preserving myocardial compliance under pathological stress.</p>
</sec>
<sec id="s5-3">
<title>5.3 FGF21</title>
<p>FGF21, a secretory protein, has pleiotropic cardioprotective effects, including preserving myocardial tissue, regulating metabolic homeostasis, suppressing fibrosis, and preventing atrial remodeling (<xref ref-type="bibr" rid="B177">Zhao et al., 2023</xref>). Aerobic or endurance exercise significantly elevates circulating FGF21 levels (<xref ref-type="bibr" rid="B17">Bo et al., 2021</xref>), which may contribute to the modulation of energy metabolism and ultimately to post-exercise recovery. In young females, serum FGF21 concentrations are significantly elevated following a 2-week exercise regimen (<xref ref-type="bibr" rid="B36">Cuevas-Ramos et al., 2012</xref>). Mechanistically, FGF21 activates fibroblast growth factor receptors on cell surfaces to induce early growth response protein 1 expression while suppressing fibrotic mediators, including collagen type I, collagen type III, and TGF-&#x3b2;1 (<xref ref-type="bibr" rid="B96">Li et al., 2021</xref>). Furthermore, FGF21 modulates TGF-&#x3b2;1/Smad2/3 and NF-&#x3ba;B signaling pathways, downregulating MMP activity to suppress fibrotic remodeling and scar formation (<xref ref-type="bibr" rid="B107">Ma et al., 2021</xref>; <xref ref-type="bibr" rid="B128">Pan et al., 2017</xref>). Notably, genetic ablation of FGF21 was shown to abolish the inhibitory effects of aerobic exercise on oxidative stress, ER stress, and apoptosis in myocardial infarction models (<xref ref-type="bibr" rid="B17">Bo et al., 2021</xref>).</p>
</sec>
<sec id="s5-4">
<title>5.4 Natriuretic peptides</title>
<p>Although excessive exercise may induce pressure overload and pathological hypertrophy (<xref ref-type="bibr" rid="B178">Zhou et al., 2020</xref>), atrial natriuretic peptide (ANP) and B-type natriuretic peptide (BNP), both established biomarkers of pathological hypertrophy, also play critical roles in blood pressure regulation and fluid-electrolyte homeostasis. Their plasma concentrations increase proportionally to the cardiac output during exercise-induced stress (<xref ref-type="bibr" rid="B169">Yoshiga et al., 2019</xref>; <xref ref-type="bibr" rid="B162">Wis&#xe9;n et al., 2011</xref>). Importantly, by binding to renal and vascular receptors, these peptides promote natriuresis, diuresis, and vasodilation (<xref ref-type="bibr" rid="B6">Baris Feldman et al., 2023</xref>). Within the myocardium, ANP and BNP primarily act through guanylyl cyclase-A receptors to inhibit calcineurin/NFAT, NHE-1, and TGF-&#x3b2;1/Smad signaling pathways (<xref ref-type="bibr" rid="B24">Calvieri et al., 2012</xref>), thereby reducing fibroblast proliferation, suppressing inflammatory infiltration, and preventing pathological hypertrophy (<xref ref-type="bibr" rid="B14">Bie, 2018</xref>; <xref ref-type="bibr" rid="B77">Kapoun et al., 2004</xref>).</p>
<p>The anti-fibrotic effects of exercise are intricately linked to a biphasic dose-response relationship, where the intensity and duration of physical activity play pivotal roles in determining its therapeutic outcomes. At moderate levels, exercise exerts potent anti-fibrotic actions by orchestrating a sophisticated hormonal and growth factor-mediated response (<xref ref-type="bibr" rid="B67">Hong et al., 2022</xref>). The delicate balance between exercise&#x2019;s therapeutic benefits and potential risks becomes apparent at excessive intensities. Overexertion may paradoxically induce pressure overload and pathological hypertrophy, potentially exacerbating ischemia-induced fibrosis (<xref ref-type="bibr" rid="B178">Zhou et al., 2020</xref>). This underscores the importance of tailoring exercise regimens to individual patient needs, particularly for those with fibrotic cardiomyopathy. Implementing progressive, low-intensity exercise protocols enables the maximization of therapeutic benefits while minimizing the risk of iatrogenic harm. Such an approach ensures that the anti-fibrotic effects of exercise are harnessed effectively, promoting myocardial compliance and reducing ECM accumulation, without triggering adverse pathological responses (<xref ref-type="bibr" rid="B163">Wright et al., 2014</xref>). Ultimately, the judicious prescription of exercise, based on a nuanced understanding of its biphasic dose-response relationship, holds promise as a valuable adjunct therapy in managing cardiac fibrosis.</p>
</sec>
</sec>
<sec id="s6">
<title>6 Multi-dimensional integration of exercise-induced signaling networks in physiological cardiac hypertrophy</title>
<p>Exercise impacts the heart across four dimensions: molecular, cellular, systemic, and temporal (<xref ref-type="fig" rid="F5">Figure 5</xref>). During the acute phase of exercise, the sympatho-adrenal axis is activated, triggering catecholamine release. Catecholamines inhibit thyroxine deiodination, thereby reducing the conversion of T4 to T3 during high-intensity exercise (<xref ref-type="bibr" rid="B85">Kobayashi et al., 1966</xref>; <xref ref-type="bibr" rid="B120">Nauman et al., 1980</xref>). Simultaneously, they stimulate insulin-like growth factor binding protein-1 (IGFBP-1) secretion, consequently decreasing free IGF-1 release and promoting blood glucose elevation (<xref ref-type="bibr" rid="B44">Fernqvist-Forbes et al., 1997</xref>). Beyond increased cardiac mechanical stress releasing ANP during exercise, epinephrine can directly induce cardiomyocyte secretion of ANP variants (<xref ref-type="bibr" rid="B138">Sejersen et al., 2022</xref>; <xref ref-type="bibr" rid="B68">Huang et al., 1992</xref>). Furthermore, catecholamines have been shown to modulate VEGF and IL-6 to enhance angiogenesis (<xref ref-type="bibr" rid="B28">Chakroborty et al., 2009</xref>). The early (acute phase) catecholamine (NE) surge activates cardiomyocyte &#x3b2;3-AR, promoting mitochondrial workload, and activates PGC-1&#x3b1; via eNOS/NO signaling, augmenting mitochondrial adaptation during the adaptive phase (<xref ref-type="bibr" rid="B168">Yoshida et al., 2023</xref>). These adaptations meet the demands for substrate transport and energy metabolism during exercise. In the adaptive phase following exercise, concentrations of hormones, including T3, IGF-1, NRG1, testosterone, FGF21, and APN increase. IGF-1 has been demonstrated to activate VEGF expression in the heart (<xref ref-type="bibr" rid="B95">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B130">Puddu et al., 2021</xref>). IGF-1 and NRG1 synergistically regulate cardiac development: IGF-1 is suitable for early expansion of cardiomyocyte numbers, while NRG1 promotes metabolic maturation and electromechanical integration in later stages (<xref ref-type="bibr" rid="B134">Rupe et al., 2017</xref>). FGF21 enhances APN production, which subsequently acts on cardiomyocytes to promote mitochondrial bioenergetics. APN partially mediates the protective effects of FGF21 against diastolic dysfunction and cardiac injury induced by HF with reduced ejection fraction in mice (<xref ref-type="bibr" rid="B175">Zhang et al., 2025</xref>). VEGF potently drives endothelial cell proliferation and migration, initiating new vessel sprouting and extension. HGF is a potent pro-migratory, pro-morphogenic, and pro-angiogenic maturation factor with significant barrier-stabilizing effects. Both VEGF and HGF respond to stimuli and cooperate to promote angiogenesis (<xref ref-type="bibr" rid="B145">Sulpice et al., 2009</xref>; <xref ref-type="bibr" rid="B167">Yang et al., 2015</xref>). The interplay among the locomotor, circulatory, and endocrine systems; signal transmission and crosstalk among hormones and growth factors; interactions among cardiomyocytes, endothelial cells, and fibroblasts; and the heart&#x2019;s responses during both the acute and adaptive phases of exercise collectively drive physiological cardiac adaptation across these dimensions.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Multidimensional mechanism of exercise induced physiological hypertrophy of the heart. Exercise first promotes the secretion of catecholamines and increases the mechanical stress of the heart through the sympathetic adrenal medullary axis during the acute phase. Catecholamines inhibit the conversion of thyroid hormone T4 to T3 and suppress free IGF-1 by increasing the concentration of IGFBP1. Simultaneously, catecholamines act together with increased mechanical stress to promote the secretion of natriuretic peptides. Catecholamines can also increase mitochondrial energy metabolism and vascular proliferation in the acute phase. During the adaptation period of exercise, the concentration of catecholamines decreases, while concentrations of NRG1, T3, testosterone, IGF-1, VEGF, and FGF21 begin to increase, and FGF21 targets the regulation of adiponectin secretion. IGF-1 may stimulate an increase in VEGF. Finally, NRG1, T3, testosterone, and IGF-1 synergistically activate the PI3K/AKT and MAPK/ERK signaling pathways in cardiomyocytes, which synergistically activate mTOR signaling to promote the synthesis of myocardial fibers and activation of satellite cells. IGF-1 synergistically activates PGC1- &#x3b1; with adiponectin, increasing mitochondrial biogenesis. HGF and VEGF synergistically activate eNOS/NO signaling to promote angiogenesis. HGF, elevated concentrations of testosterone, natriuretic peptide, and FGF21 can inhibit the transformation of fibroblasts into myofibroblasts, protecting the heart from pathological remodeling. IGF-1, insulin-like growth factor-1; PI3K, phosphoinositide 3-kinase; AKT, protein kinase B; ERKs, extracellular signal-regulated kinases; MEK, mitogen-activated protein kinase; NRG1, neuregulin-1; HGF, hepatocyte growth factor; VEGF, vascular endothelial growth factor; eNOS, endothelial nitric oxide synthase; NO, nitric oxide; PGC-1&#x3b1;, peroxisome proliferator-activated receptor gamma coactivator-1&#x3b1;; FGF21, fibroblast growth factor 21.</p>
</caption>
<graphic xlink:href="fphys-16-1642389-g005.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the cellular signaling pathways activated by exercise. It shows how exercise induces the acute phase, leading to the release of catecholamines and mechanical stress, influencing hormones like testosterone, T4, T3, and growth factors like IGF-1, ANP, BNP, VEGF, HGF, adiponectin, and FGF21. These hormones and growth factors affect cardiomyocyte, endothelial, and fibroblast cells, contributing to muscle synthesis, mitochondrial remodeling, angiogenesis, and fibrosis through various biochemical pathways.</alt-text>
</graphic>
</fig>
<p>Notably, different exercise modalities and intensities may elicit distinct hormonal responses across diverse populations (<xref ref-type="table" rid="T1">Table 1</xref>). The dose-response relationship between exercise and cardiac health exhibits a &#x201c;J-shaped curve&#x201d;: moderate exercise intensity induces physiological cardiac hypertrophy by activating protective molecular pathways, thereby enhancing cardiac function and metabolic adaptability. However, excessive exercise exceeding an individual&#x2019;s tolerance threshold triggers pressure overload, leading to aberrant elevations in ANP/BNP, activation of the calcineurin pathway, and mitochondrial dysfunction, consequently promoting pathological remodeling and fibrosis (<xref ref-type="bibr" rid="B27">Carraro and Franceschi, 1997</xref>; <xref ref-type="bibr" rid="B11">Bernardo et al., 2010</xref>). Optimizing intensity and protocols requires the integration of population baseline status, dynamic biomarkers, and individualized progression principles to achieve a precise balance between cardioprotection and risk mitigation. Due to variations among populations and influences from factors. Including sex, genetics, and environment, no study has identified a universal exercise intensity threshold distinguishing physiological from pathological hypertrophy. Nevertheless, based on the data presented in <xref ref-type="table" rid="T1">Table 1</xref>, we can tentatively estimate that the approximate aerobic exercise intensity risk threshold for healthy adults lies approximately 80%&#x2013;85% VO<sub>2</sub>max, while the resistance training intensity risk threshold is approximately 85% 1RM. Obese populations may exhibit more pronounced acute responses. Supporting this, zebrafish exercised at 80% of maximal critical swimming speed (Ucrit) for 4 weeks developed pathological cardiac hypertrophy (<xref ref-type="bibr" rid="B178">Zhou et al., 2020</xref>). Sixteen weeks of high-intensity endurance training (60 cm/s, 60 min/day) resulted in diastolic dysfunction and increased fibrosis in rats (<xref ref-type="bibr" rid="B9">Benito et al., 2011</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Exercise modality-specific regulation of key hormonal mediators.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Crowd/Model</th>
<th align="left">Motion type</th>
<th align="left">Movement plan</th>
<th align="left">Hormonal response</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="9" align="left">Healthy young male</td>
<td align="left">Resistance training(RT)</td>
<td align="left">50%1RM,3 h</td>
<td align="left">VEGF&#x2191; (<xref ref-type="bibr" rid="B56">Gustafsson et al., 2005</xref>)</td>
</tr>
<tr>
<td align="left">RT</td>
<td align="left">75%&#x2013;80%1RM</td>
<td align="left">testosterone&#x2191; (<xref ref-type="bibr" rid="B87">Kraemer et al., 1990</xref>; <xref ref-type="bibr" rid="B113">Midttun et al., 2024</xref>),IGF-1&#x2191; (<xref ref-type="bibr" rid="B137">Schwarz et al., 2016</xref>)<break/>T3&#x2191;, T4&#x2191;(acute), T3&#x2191;(12 h) (<xref ref-type="bibr" rid="B110">McMurray et al., 1995</xref>)</td>
</tr>
<tr>
<td align="left">Endurance training(ET)</td>
<td align="left">&#x3c;50% VO<sub>2</sub>max</td>
<td align="left">testosterone&#x2014;&#x2014; (<xref ref-type="bibr" rid="B37">D&#x27;Andrea et al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">&#x3e;60 VO<sub>2</sub>max</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B125">Norling et al., 2020</xref>), catecholamine&#x2191; (<xref ref-type="bibr" rid="B60">Hansen et al., 2012</xref>; <xref ref-type="bibr" rid="B16">Bloom et al., 1976</xref>; <xref ref-type="bibr" rid="B20">Bracken et al., 2005</xref>)<break/>T3&#x2193;,T4&#x2191; (<xref ref-type="bibr" rid="B35">Ciloglu et al., 2005</xref>; <xref ref-type="bibr" rid="B99">Liewendahl et al., 1992</xref>), APN&#x2014;&#x2014; (<xref ref-type="bibr" rid="B156">Vu et al., 2007</xref>), ANP&#x2191; (<xref ref-type="bibr" rid="B144">Str&#xf6;hle et al., 2006</xref>)</td>
</tr>
<tr>
<td align="left">Acute ET</td>
<td align="left">60% VO<sub>2</sub>max</td>
<td align="left">FGF21&#x2191; (<xref ref-type="bibr" rid="B61">Hansen et al., 2016</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">80% VO<sub>2</sub>max</td>
<td align="left">FGF21&#x2191; (<xref ref-type="bibr" rid="B83">Kim et al., 2013</xref>),testosterone&#x2191; (<xref ref-type="bibr" rid="B64">Hayes et al., 2015</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">&#x3e;80% VO<sub>2</sub>max</td>
<td align="left">T3&#x2014;&#x2014;,T4&#x2014;&#x2014; (<xref ref-type="bibr" rid="B69">Huang et al., 2004</xref>), APN&#x2014;&#x2014; (<xref ref-type="bibr" rid="B156">Vu et al., 2007</xref>), ANP(Acute)&#x2191; (<xref ref-type="bibr" rid="B162">Wis&#xe9;n et al., 2011</xref>), ANP(convalescence)&#x2193; (<xref ref-type="bibr" rid="B108">Mandroukas et al., 2011</xref>)</td>
</tr>
<tr>
<td align="left">ET (swim)</td>
<td align="left">90% VO<sub>2</sub>max</td>
<td align="left">low-temperature water(&#x3c;26&#xb0;C): T4&#x2191;<break/>high-temperature water (&#x3e;26&#xb0;C): T4&#x2193; (<xref ref-type="bibr" rid="B38">Deligiannis et al., 1993</xref>)</td>
</tr>
<tr>
<td align="left">HIIT</td>
<td align="left">90% VO<sub>2</sub>max</td>
<td align="left">T3&#x2191;(acute), T3&#x2193;(12 h convalescence) (<xref ref-type="bibr" rid="B58">Hackney et al., 2012</xref>), HGF&#x2191; (<xref ref-type="bibr" rid="B59">Hamilton et al., 2015</xref>)</td>
</tr>
<tr>
<td rowspan="3" align="left">Healthy young woman</td>
<td align="left">ET</td>
<td align="left">70% VO<sub>2</sub>max</td>
<td align="left">T3&#x2014;&#x2014;,T4&#x2014;&#x2014; (<xref ref-type="bibr" rid="B105">Loucks and Callister, 1993</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">85%VO<sub>2</sub>max</td>
<td align="left">FGF21&#x2191; (<xref ref-type="bibr" rid="B36">Cuevas-Ramos et al., 2012</xref>), ANP&#x2191; (<xref ref-type="bibr" rid="B144">Str&#xf6;hle et al., 2006</xref>),BNP&#x2191; (<xref ref-type="bibr" rid="B162">Wis&#xe9;n et al., 2011</xref>)</td>
</tr>
<tr>
<td align="left">RT</td>
<td align="left">60%&#x2013;85%1RM</td>
<td align="left">IGF-1&#x2014;&#x2014; (<xref ref-type="bibr" rid="B88">Kraemer et al., 2017</xref>; <xref ref-type="bibr" rid="B73">Jiang et al., 2020</xref>), catecholamine&#x2191; (<xref ref-type="bibr" rid="B60">Hansen et al., 2012</xref>), testosterone&#x2014;&#x2014; (<xref ref-type="bibr" rid="B102">Linnamo et al., 2005</xref>)</td>
</tr>
<tr>
<td rowspan="3" align="left">Osteoporotic obese elderly people</td>
<td align="left">RT</td>
<td align="left">60%&#x2013;70% 1RM, 3 sets &#xd7; 8&#x2013;12 repetitions, 10 full-body exercises (8 weeks, 2 times per week)</td>
<td align="left">IGF-1&#x2191;&#x2191; (<xref ref-type="bibr" rid="B30">Chen et al., 2017</xref>)</td>
</tr>
<tr>
<td align="left">CT</td>
<td align="left">RT (once a week) &#x2b; AT (once a week, dance aerobics) (8 weeks, 2 times per week)</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B30">Chen et al., 2017</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">Moderate-intensity dance (40&#x2013;45 min per session) (8 weeks, 2 sessions per week)</td>
<td align="left">IGF-1&#x2014;&#x2014; (<xref ref-type="bibr" rid="B30">Chen et al., 2017</xref>), FGF21&#x2193; (<xref ref-type="bibr" rid="B149">Taniguchi et al., 2016</xref>)</td>
</tr>
<tr>
<td rowspan="4" align="left">Healthy elderly people</td>
<td align="left">ET</td>
<td align="left">Daily walking, combined with moderate-intensity aerobic exercises (12 weeks)</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B179">Zouhal et al., 2022</xref>), APN&#x2191; (<xref ref-type="bibr" rid="B157">Wang et al., 2015</xref>), testosterone&#x2014;&#x2014; (<xref ref-type="bibr" rid="B15">Binder et al., 2025</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">ET - Moderate intensity (60%&#x2013;75% maximum heart rate, 12&#x2013;52 weeks)</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B179">Zouhal et al., 2022</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">60%&#x2013;120% VO<sub>2</sub>max</td>
<td align="left">VEGF&#x2191; (<xref ref-type="bibr" rid="B155">Vital et al., 2014</xref>)</td>
</tr>
<tr>
<td align="left">Acute ET</td>
<td align="left">The second highest intensity (lasting for 20&#x2013;60 min at a time)</td>
<td align="left">IGF-1&#x2193; (<xref ref-type="bibr" rid="B143">Stein et al., 2021</xref>)</td>
</tr>
<tr>
<td rowspan="4" align="left"/>
<td align="left">High-intensity interval training(HIIT)</td>
<td align="left">&#x2265;85% maximum heart rate (such as 30-s sprint &#x2b; rest, 5&#x2013;12 weeks)</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B179">Zouhal et al., 2022</xref>)</td>
</tr>
<tr>
<td align="left">RT</td>
<td align="left">80%1RM</td>
<td align="left">Testosterone acute&#x2191;,adaptive phase&#x2014;&#x2014; (<xref ref-type="bibr" rid="B89">Kraemer et al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">RT</td>
<td align="left">Moderate to high intensity (70%&#x2013;85% of 1RM)</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B73">Jiang et al., 2020</xref>)</td>
</tr>
<tr>
<td align="left">RT &#x2b; HIIT</td>
<td align="left">Resistance training (75%&#x2013;80% 1RM) &#x2b; Cycling sprints (6&#x2013;9 sets &#xd7; 60 s, RPE 10)</td>
<td align="left">IGF-1&#x2014;&#x2014; (<xref ref-type="bibr" rid="B117">Murray et al., 2025</xref>)</td>
</tr>
<tr>
<td rowspan="5" align="left">Obese adults</td>
<td align="left">Acute RT</td>
<td align="left">70%&#x2013;85%1RM</td>
<td align="left">catecholamine&#x2193; (<xref ref-type="bibr" rid="B60">Hansen et al., 2012</xref>)</td>
</tr>
<tr>
<td align="left">Acute ET</td>
<td align="left">50% VO<sub>2</sub>max</td>
<td align="left">catecholamine &#x2193; (<xref ref-type="bibr" rid="B60">Hansen et al., 2012</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">60%&#x2013;80% HRmax</td>
<td align="left">APN&#x2191; (<xref ref-type="bibr" rid="B156">Vu et al., 2007</xref>; <xref ref-type="bibr" rid="B82">Khalafi et al., 2023</xref>), FGF21&#x2014;&#x2014; (<xref ref-type="bibr" rid="B47">Fiorenza et al., 2024</xref>)</td>
</tr>
<tr>
<td align="left">RT</td>
<td align="left">60%&#x2013;85% 1RM</td>
<td align="left">APN&#x2191; (<xref ref-type="bibr" rid="B156">Vu et al., 2007</xref>; <xref ref-type="bibr" rid="B82">Khalafi et al., 2023</xref>), FGF21&#x2191; (<xref ref-type="bibr" rid="B104">Liu et al., 2024</xref>)</td>
</tr>
<tr>
<td align="left">HIIT</td>
<td align="left">85%&#x2013;90% HRmax</td>
<td align="left">APN&#x2191; (<xref ref-type="bibr" rid="B82">Khalafi et al., 2023</xref>), FGF21&#x2193; (<xref ref-type="bibr" rid="B74">Jin et al., 2022</xref>)<break/>ANP/BNP&#x2191; (<xref ref-type="bibr" rid="B79">Karner-Rezek et al., 2013</xref>)</td>
</tr>
<tr>
<td rowspan="3" align="left">Patients with chronic heart failure (CHF)</td>
<td align="left">ET &#x2b; RT</td>
<td align="left">50&#x2013;75% VO<sub>2</sub>max</td>
<td align="left">APN&#x2193; (<xref ref-type="bibr" rid="B152">Van Berendoncks and Conraads, 2011</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">80% VO<sub>2</sub>max</td>
<td align="left">ANP/BNP&#x2014;&#x2014; (<xref ref-type="bibr" rid="B91">Larsen et al., 2008</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">100% VO<sub>2</sub>max</td>
<td align="left">ANP/BNP&#x2191; (<xref ref-type="bibr" rid="B10">Bentzen et al., 2004</xref>)</td>
</tr>
<tr>
<td rowspan="12" align="left">Patients with type 2 diabetes mellitus</td>
<td align="left">ET &#x2b; RT</td>
<td align="left">Moderate strength</td>
<td align="left">APN&#x2014;&#x2014; (<xref ref-type="bibr" rid="B171">Zaidi et al., 2021</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">65% VO<sub>2</sub>max</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B32">Cheng et al., 2013</xref>),APN&#x2191; (<xref ref-type="bibr" rid="B156">Vu et al., 2007</xref>),FGF21&#x2014;&#x2014; (<xref ref-type="bibr" rid="B90">Kruse et al., 2017</xref>),FGF21&#x2193; (<xref ref-type="bibr" rid="B74">Jin et al., 2022</xref>), HGF&#x2193; (<xref ref-type="bibr" rid="B165">Xu et al., 2025</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">65%&#x2013;95% VO<sub>2</sub>max</td>
<td align="left">FGF21&#x2014;&#x2014; (<xref ref-type="bibr" rid="B104">Liu et al., 2024</xref>), IGF-1&#x2191; (<xref ref-type="bibr" rid="B109">Mazaheri et al., 2025</xref>)</td>
</tr>
<tr>
<td align="left">Acute ET</td>
<td align="left">50% VO<sub>2</sub>max</td>
<td align="left">FGF21&#x2191; (<xref ref-type="bibr" rid="B61">Hansen et al., 2016</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">Treadmill: 12 m/min, 5&#xb0;slope</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B97">Li et al., 2022a</xref>),APN&#x2014;&#x2014; (<xref ref-type="bibr" rid="B156">Vu et al., 2007</xref>),ANP&#x2191; (<xref ref-type="bibr" rid="B127">Pan, 2008</xref>)</td>
</tr>
<tr>
<td align="left">ET</td>
<td align="left">20 m/min,60 min/day</td>
<td align="left">NRG1&#x2191; (<xref ref-type="bibr" rid="B98">Li et al., 2022b</xref>)</td>
</tr>
<tr>
<td align="left">Acute ET</td>
<td align="left">25 m/min</td>
<td align="left">FGF21&#x2191; (<xref ref-type="bibr" rid="B83">Kim et al., 2013</xref>)</td>
</tr>
<tr>
<td align="left">RT</td>
<td align="left">Climb stairs,75%1RM</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B97">Li et al., 2022a</xref>)</td>
</tr>
<tr>
<td align="left">RT</td>
<td align="left">120%Weight load</td>
<td align="left">IGF-1&#x2014;&#x2014; (<xref ref-type="bibr" rid="B63">Hatakeyama et al., 2025</xref>)</td>
</tr>
<tr>
<td align="left">HIIT</td>
<td align="left">Peak lactate level - 10 mM</td>
<td align="left">VEGF&#x2191; (<xref ref-type="bibr" rid="B114">Morland et al., 2017</xref>)</td>
</tr>
<tr>
<td align="left">Whole-body vibration (WBV)</td>
<td align="left">Vertical vibration: 13 Hz frequency, 2 mm amplitude</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B97">Li et al., 2022a</xref>)</td>
</tr>
<tr>
<td align="left">electrophotoluminescence (ES)</td>
<td align="left">Electrode stimulation: 20 Hz frequency, 1 mA current</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B97">Li et al., 2022a</xref>)</td>
</tr>
<tr>
<td rowspan="2" align="left">Mice with myocardial infarction (MI)</td>
<td align="left">ET</td>
<td align="left">10&#x2013;12 m per min, 60 min per day (4 weeks, 5 days per week)</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B42">Feng et al., 2022</xref>),VEGF&#x2191;, FGF21&#x2191; (<xref ref-type="bibr" rid="B17">Bo et al., 2021</xref>; <xref ref-type="bibr" rid="B18">Bo et al., 2023</xref>)</td>
</tr>
<tr>
<td align="left">RT</td>
<td align="left">Maximum load: 75%. 3 sets per session, 9 sets per day (4 weeks)</td>
<td align="left">IGF-1&#x2191; (<xref ref-type="bibr" rid="B42">Feng et al., 2022</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:mo>&#x2191;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>: significant increase; <inline-formula id="inf2">
<mml:math id="m2">
<mml:mrow>
<mml:mo>&#x2193;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>: significant decrease; &#x2014; no change.</p>
</fn>
<fn>
<p>IGF-1, insulin-like growth factor-1; VEGF, vascular endothelial growth factor; APN, adiponectin; ANP, atrial natriuretic peptide; NRG1, neuregulin-1.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Sex and disease-related disparities in exercise-induced hormonal responses significantly influence myocardial adaptation. In males, resistance training (e.g., 75%&#x2013;80% 1RM) more readily elevates testosterone and IGF-1 levels, promoting cardiomyocyte hypertrophy and suppressing myocardial apoptosis by activating the PI3K/Akt pathway. Conversely, females exhibit greater sensitivity to endurance training-induced increases in FGF21. Under disease states, obesity/diabetes attenuates catecholamine and FGF21 responsiveness; however, endurance training can still improve myocardial mitochondrial function via the IGF-1 pathway. In patients with heart failure (HF) patients, post-exercise elevations in ANP/BNP following high-intensity exercise may exacerbate cardiac loading. Conversely, post-myocardial infarction exercise promotes angiogenesis via IGF-1/VEGF signaling. Notably, individuals with sarcopenic obesity require higher-intensity resistance training to elevate IGF-1 levels.</p>
</sec>
<sec id="s7">
<title>7 Conclusion and prospect</title>
<p>This study reviews the molecular mechanisms by which exercise induces physiological cardiac hypertrophy, underscoring the central role of the multi-dimensional regulation of hormonal and growth factor networks in cardiovascular protection. Future studies should develop dynamic biomarker panels to personalize exercise dosing in HF, leveraging the biphasic responses of exercise-induced mediators revealed in this review. A stratified framework monitoring safety thresholds (e.g., ANP/BNP and troponin for pressure overload and injury, respectively) and efficacy signals (e.g., VEGF-C/HGF for angiogenesis; FGF21/APN for mitochondrial adaptation, lipid metabolism, and insulin sensitivity; and TGF-&#x3b2;1 suppression for anti-fibrosis) can guide intensity titration. Integrating wearable hemodynamic sensors with serial biomarker profiling (pre-/post-exercise) could enable adaptive algorithms&#x2014;such as moderate continuous training for patients with HF with reduced ejection fraction who exhibit IGF-1 resistance versus carefully dosed high-intensity interval training for those with obesity who have HF with preserved ejection fraction when APN/FGF21 ratios indicate metabolic responsiveness&#x2014;thereby balancing cardioprotection while minimizing pathological strain. Multicenter trials validating these panels are essential to translate mechanistic insights into precision exercise prescriptions for HF subpopulations.</p>
<p>Furthermore, circulating biomarker levels may predict athletic ability in patients with HF. As demonstrated in preclinical models, baseline NRG1 deficiency correlates with impaired cardiac repair capacity, while exercise-induced NRG1 elevation (&#x3e;40% from baseline) enhances ErbB4-mediated cardiomyocyte proliferation and metabolic maturation&#x2014;key mechanisms for functional recovery. Clinical validation should determine whether pre-intervention NRG1 thresholds can identify patients most likely to benefit from moderate-intensity endurance protocols, particularly those with ischemic cardiomyopathy, where NRG1/ErbB signaling is essential for angiogenesis and fibrosis regression.</p>
<p>The genetic polymorphisms of some important receptors cannot be ignored due to their impact on exercise outcomes and cardiovascular responses. The IGF1R rs1464430 polymorphism exhibits associations with exercise type: the AA genotype appears more favorable for endurance-oriented sports, while the C allele is a distinguishing feature among strength/power athletes (<xref ref-type="bibr" rid="B8">Ben-Zaken et al., 2015</xref>). The &#x3b2;<sub>2</sub>-AR Gln27Glu polymorphism significantly influences the therapeutic response to carvedilol in patients with chronic HF, with Glu27 homozygotes exhibiting significantly greater improvements in systolic/diastolic function and exercise hemodynamics (<xref ref-type="bibr" rid="B112">Metra et al., 2010</xref>). &#x3b2;<sub>2</sub>-AR Arg16Gly homozygosity is associated with enhanced muscle mass and strength gains in athletes (<xref ref-type="bibr" rid="B72">Jenkins et al., 2018</xref>). Furthermore, the VEGFR2 His472Gln polymorphism enhances aerobic endurance by increasing VO<sub>2</sub>max and the proportion of slow-twitch fibers (<xref ref-type="bibr" rid="B3">Ahmetov et al., 2009</xref>).</p>
<p>Beyond the mediators discussed above, emerging research highlights novel regulators involved in exercise-induced cardiac adaptation. Nuclear factor erythroid 2-related factor 2 protects the heart against oxidative stress during exercise, attenuating pressure overload-induced pathological cardiac hypertrophy and dysfunction (<xref ref-type="bibr" rid="B122">Ni et al., 2025</xref>). MicroRNA-223-3p and Myostatin have been identified as novel biomarkers indicative of acute exercise and training-induced cardiac adaptation (<xref ref-type="bibr" rid="B43">Fernandez-Vivero et al., 2025</xref>; <xref ref-type="bibr" rid="B65">Heineke et al., 2010</xref>; <xref ref-type="bibr" rid="B94">Lenk et al., 2012</xref>). Irisin mediates multiple cardioprotective effects of exercise, including cardiac angiogenesis, anti-inflammation, energy metabolism optimization, and mitophagy (<xref ref-type="bibr" rid="B55">Guo et al., 2024</xref>). Furthermore, IL-6 plays a functional role in mediating exercise-induced improvements in cardiac contractile function (<xref ref-type="bibr" rid="B75">J&#xf8;nck et al., 2024</xref>). These newly identified mediators warrant focused investigation in future research to refine our understanding of the molecular mechanisms underpinning cardiac adaptation to exercise.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>SH: Writing &#x2013; original draft, Conceptualization. ZC: Conceptualization, Writing &#x2013; original draft. HL: Writing &#x2013; original draft, Visualization. LZ: Writing &#x2013; original draft, Funding acquisition, Resources. ZZ: Writing &#x2013; review and editing, Supervision, Funding acquisition. XP: Funding acquisition, Supervision, Writing &#x2013; review and editing. CT: Writing &#x2013; review and editing, Funding acquisition, Resources.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the National Natural Science Foundation of China (grant numbers 81801392, 32100919, and 32371182), and the National Students&#x2019; Platform for Innovation and Entrepreneurship Training Program (grant number S202410542008).</p>
</sec>
<ack>
<p>We thank the Hunan Provincial Key Laboratory of physical fitness and exercise rehabilitation for providing core facilities.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="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 id="s13">
<title>Abbreviations</title>
<p>CVDs, cardiovascular diseases; IGF-1, insulin-like growth factor-1; IGF1R, insulin-like growth factor-1 receptor; IRS1, insulin receptor substrates 1; PI3K, phosphoinositide 3-kinase; Akt, protein kinase B; ERKs, extracellular signal-regulated kinases; MEK, mitogen-activated protein kinase; NRG1, neuregulin-1; HGF, hepatocyte growth factor; VEGF, vascular endothelial growth factor; PlGF, placental growth factor; eNOS, endothelial nitric oxide synthase; NO, nitric oxide; LEC, lymphatic endothelial cell; MMPs, matrix metalloproteinases; &#x3b2;3-AR, &#x3b2;3-adrenergic receptor; PGC-1&#x3b1;, peroxisome proliferator-activated receptor gamma coactivator-1&#x3b1;; PPARs, peroxisome proliferator-activated receptor &#x3b1;; ERRs, estrogen-related receptor; APN, adiponectin; HDAC, histone deacetylase; FGF21, fibroblast growth factor 21; TGF-&#x3b2;1, transforming growth factor-&#x3b2;1; ECM, extracellular matrix; &#x3b1;-SMA, &#x3b1;-smooth muscle actin; CTGF, connective tissue growth factor; ANP, atrial natriuretic peptide; BNP, B-type natriuretic peptide; HF, heart failure.</p>
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