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<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1729690</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Mini Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Metabolic regulation of regulatory T cells: mechanisms, heterogeneity, and implications in disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Getachew</surname><given-names>Feven</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Hu</surname><given-names>Junhui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1005349/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Benamar</surname><given-names>Mehdi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Division of Immunology, Boston Children&#x2019;s Hospital</institution>, <city>Boston</city>, <state>MA</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Pediatrics, Harvard Medical School</institution>, <city>Boston</city>, <state>MA</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai Sixth People&#x2019;s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Institute of Regenerative Medicine and Biotherapy, INSERM, University of Montpellier</institution>, <city>Montpellier</city>,&#xa0;<country country="fr">France</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Mehdi Benamar, <email xlink:href="mailto:Mehdi.Benamar@childrens.harvard.edu">Mehdi.Benamar@childrens.harvard.edu</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-12">
<day>12</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1729690</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>25</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Getachew, Hu and Benamar.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Getachew, Hu and Benamar</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-12">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>Regulatory T (Treg) cells are essential for maintaining immune tolerance, preventing autoimmune responses, and supporting tissue repair. Tregs employ a flexible and diverse metabolic program that includes glycolysis, oxidative phosphorylation (OXPHOS), fatty acid oxidation, and lipid metabolism compared to conventional T cells, which largely rely on glycolysis to fuel their proliferation and function. This flexibility allows Tregs to adapt in different tissue environments while sustaining their suppressive activity. Thymic-derived (tTregs), peripheral (pTregs), and induced (iTregs) exhibit distinct metabolic profiles that influence their stability, proliferation, and suppressive capacity. These metabolic pathways are controlled by key regulators such as mTOR, LKB1, and Foxp3, while environmental cues, including nutrient availability, hypoxia, and microbiota-derived metabolites, further shape Treg function. Dysregulation of these pathways can compromise tolerance and contribute to immune-mediated diseases, chronic infections, cancer, and metabolic disorders. In this mini review, we summarize recent insights into the heterogeneity of Treg metabolism, highlighting how metabolic reprogramming underpins their immunoregulatory roles. We also explore therapeutic opportunities for targeting Treg metabolism and discuss future directions leveraging single-cell and spatial technologies to map context-specific metabolic programs <italic>in vivo</italic>.</p>
</abstract>
<kwd-group>
<kwd>regulatory T cells</kwd>
<kwd>Foxp3</kwd>
<kwd>metabolism</kwd>
<kwd>immune tolerance</kwd>
<kwd>diseases</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
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<fig-count count="2"/>
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<ref-count count="57"/>
<page-count count="7"/>
<word-count count="2929"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>T Cell Biology</meta-value>
</custom-meta>
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</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Each organ system in the human body presents specific functions, and the immune system is no exception. One of its primary roles is to protect against invasion and destruction by pathogens distinguished as &#x201c;non-self&#x201d; antigens, while simultaneously tolerating host-derived &#x201c;self&#x201d; components (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). A breakdown of this delicate balance can result in the loss of immune tolerance and the initiation of aberrant immune responses against self-tissues, which are characteristic of autoimmune diseases (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Treg cells, a specialized subset of CD4<sup>+</sup> T cells, play an essential role in controlling this balance by suppressing excessive immune responses and promoting immune homeostasis (<xref ref-type="bibr" rid="B3">3</xref>). Tregs represent approximately 5&#x2013;15% of peripheral CD4<sup>+</sup> T cells and are characterized by expression of CD25, the transcription factor Foxp3, and low or absent CD127 in humans (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Importantly, Tregs can exert suppressive effects by several immunosuppressive mechanisms, including the secretion of immunoregulatory cytokines, cytotoxicity, metabolic modulation, and modulation of antigen-presenting cells&#x2019; function (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Beyond immunosuppression, Tregs also contribute to tissue repair (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). The discovery of Tregs and their reliance on Foxp3 was initially highlighted by studies of the scurfy mouse and immune dysregulation, polyendocrinopathy, enteropathy, X-linked (IPEX) syndrome in humans, both caused by mutations in the Foxp3 gene (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). These observations established Foxp3<sup>+</sup> Tregs as indispensable guardians of self-tolerance. More recently, it has become clear that their function depends not only on transcriptional regulation but also on specialized metabolic programs (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Conventional T cells predominantly favor glycolysis and glutaminolysis to support rapid proliferation and effector functions (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). In contrast, Tregs exhibit a more versatile metabolic program, dynamically shifting between glycolysis, oxidative phosphorylation (OXPHOS), lipid metabolism, and amino acid utilization depending on their differentiation state and microenvironmental cues (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>). This metabolic plasticity underpins their ability to exert diverse suppressive functions. In this mini review, we discuss the molecular underpinnings of Treg metabolism, highlight the heterogeneity between Treg subsets, and consider the implications of metabolic regulation in health and disease.</p>
</sec>
<sec id="s2">
<title>Heterogeneity of Treg metabolism</title>
<sec id="s2_1">
<title>Thymic versus peripheral Tregs</title>
<p>Thymic Tregs (tTregs) originate during T cell ontogeny in the thymus and are selected for high-affinity recognition of self-MHC molecules without crossing the threshold for deletion. Peripheral Tregs (pTregs) arise from conventional CD4<sup>+</sup> T cells <italic>in vivo</italic> under tolerogenic conditions, while induced Tregs (iTregs) are generated <italic>in vitro</italic> from naive CD4<sup>+</sup> T cells cultured in the presence of IL-2 and TGF-&#x3b2; (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Interestingly, tTregs and iTregs display distinct metabolic signatures (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1A, B</bold></xref>). Indeed, mouse tTregs cultured in IL-2 for three days exhibit high glycolytic activity, whereas iTregs induced with IL-2 and TGF-&#x3b2; display reduced glycolysis. Enhanced glycolysis in tTregs is associated with increased expression of glycolytic regulators such as HK2, Glut1, and Glut3. Addition of TGF-&#x3b2; to tTregs suppresses glycolysis, as indicated by reduced extracellular acidification rate (ECAR), decreased expression of glycolytic enzymes, and inhibition of the PI3K/Akt/mTOR pathway, which collectively impair their proliferation and suppressive capacity (<xref ref-type="bibr" rid="B23">23</xref>). In contrast, CD4-specific Glut1 deletion reduces conventional Foxp3<sup>&#x2212;</sup> CD4<sup>+</sup> T cells but has little effect on Foxp3<sup>+</sup> Tregs, suggesting that tTregs can rely on alternative metabolic pathways (<xref ref-type="bibr" rid="B24">24</xref>). These findings highlight the complexity of Treg metabolic requirements.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Heterogeneity of Treg metabolism. <bold>(A)</bold> Thymic Treg (tTreg) cells engage glycolysis through upregulation of Glut1 and Glut3, enhancing glucose uptake and activating PI3K&#x2013;Akt&#x2013;mTORC1 signaling. This pathway induces expression of hexokinase 2 (HK2), a rate-limiting enzyme in glycolysis. In peripheral tissues, antigen-driven activation of tTreg cells promotes mTOR&#x2013;IRF4 signaling, further enhancing glycolysis and nucleotide metabolism. <bold>(B)</bold> Suppressive induced Treg (iTreg) cells (left) exhibit elevated Foxp3 expression, which reprograms cellular metabolism toward oxidative phosphorylation (OXPHOS). Upregulation of fatty acid&#x2013;binding protein 5 (FABP5) facilitates mitochondrial fatty acid transport, promoting fatty acid oxidation (FAO) and increasing acetyl-CoA availability for OXPHOS. In contrast, proliferative iTreg cells (right) display TLR-dependent PI3K&#x2013;Akt&#x2013;mTORC1 activation, leading to increased Glut1 and HK2 expression, enhanced glycolytic flux, and induction of HIF-1&#x3b1;, which drives transcription of glycolytic genes. <bold>(C)</bold> Peripheral Treg (pTreg) cells (left) undergo Foxp3-dependent metabolic reprogramming toward OXPHOS, accompanied by activation of the mevalonate pathway via upregulation of liver kinase B1 (LKB1). Additionally, pTreg cells exhibit enhanced FAO through CD36-mediated uptake of long-chain fatty acids.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1729690-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating metabolic pathways in regulatory T cells (tTreg, iTreg, pTreg). Panel A shows glycolysis and nucleotide metabolism in tTreg with increased GLUT1, HK2, and IRF4. Panel B contrasts suppressive and proliferative iTreg with pathways involving fatty acids, TCA cycle, and OXPHOS. Proliferative iTreg also show increased GLUT1. Panel C focuses on pTreg, highlighting lipid metabolism via the mevalonate pathway and FAO with increased OXPHOS. Each panel features mitochondrial involvement and specific pathway interactions.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_2">
<title>Glycolysis in Treg proliferation and function</title>
<p>Glycolysis provides rapid ATP and biosynthetic intermediates necessary for cell growth. Previous studies have emphasized the importance of mTOR activation as an evolutionarily conserved requirement for T cell development and differentiation (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). TLR1 and TLR2 signaling induce the PI3K&#x2013;Akt&#x2013;mTORC1 axis, which enhances mouse iTreg cells&#x2019; proliferation and glycolytic activity, as measured by increased ECAR and Glut1 expression (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). However, these highly glycolytic iTregs show reduced suppressive capacity (<xref ref-type="bibr" rid="B27">27</xref>). Foxp3 itself appears to antagonize glycolysis (<xref ref-type="bibr" rid="B17">17</xref>). Ectopic expression of Foxp3 in naive T cells reduces glucose uptake, GLUT1 and HK2 expression, and Akt/mTOR phosphorylation, while increasing oxygen consumption and pyruvate oxidation. This metabolic shift diverts cells toward OXPHOS, supporting suppressive function rather than effector activity (<xref ref-type="bibr" rid="B27">27</xref>). Moreover, HIF-1&#x3b1;, a transcription factor stabilized under hypoxic and glycolytic conditions, favors Th17 differentiation while inhibiting Treg generation, illustrating the reciprocal balance between metabolic and immunological fates (<xref ref-type="bibr" rid="B28">28</xref>). While mTOR signaling is dispensable for iTreg differentiation <italic>in vitro</italic> (<xref ref-type="bibr" rid="B29">29</xref>), <italic>in vivo</italic> studies reveal its necessity for maintaining pTregs. It also promotes activation of peripheral tTreg to effector Treg status through regulation of IRF4, particularly in mucosal tissues which further promote glycolysis and nucleotide metabolism (<xref ref-type="bibr" rid="B30">30</xref>)(<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). In human Tregs, glycolysis is also critical. Freshly isolated, unmanipulated human Tregs demonstrate a higher dependence on glycolysis and express higher levels of mTOR compared to Tconv cells. Inhibition of mTOR using 2-DG impairs the suppressive function of Treg and reduces Foxp3 expression level in human Treg (<xref ref-type="bibr" rid="B31">31</xref>). Deletion of mTORC1 in Tregs leads to severe inflammatory disease, reduced mitochondrial fitness, and impaired metabolic reprogramming (<xref ref-type="bibr" rid="B32">32</xref>). These findings underscore that glycolysis can support Treg proliferation but may compromise suppressive function unless carefully balanced by other pathways.</p>
</sec>
<sec id="s2_3">
<title>OXPHOS and lipid metabolism in Treg homeostasis</title>
<p>Beyond glycolysis, Tregs rely heavily on mitochondrial metabolism (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). Deficiency in respiratory chain complex III within Treg cells leads to the accumulation of succinate and 2-hydroxyglutarate (2-HG) (<xref ref-type="bibr" rid="B33">33</xref>). These metabolites competitively inhibit TET enzymes by displacing their cofactor, &#x3b1;-ketoglutarate, causing hypermethylation and subsequent silencing of key immunosuppressive genes like PD-1, CD73, and TIGIT (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Ultimately, this epigenetic silencing impairs the cell&#x2019;s ability to produce critical co-inhibitory molecules and ectoenzymes, severely decreasing the Treg&#x2019;s immunosuppressive function. Foxp3 itself directly links transcriptional programming to mitochondrial metabolism. By promoting OXPHOS and FAO, Foxp3 enhances spare respiratory capacity and prevents fatty acid-induced apoptosis. Inhibition of fatty acid binding protein 5 (FABP5) disrupts mitochondrial integrity, reduces OXPHOS, and skews Treg metabolism toward glycolysis, compromising their suppressive function (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>Liver kinase B1 (LKB1), also known as STK11, is a key metabolic sensor in Tregs. LKB1 deficiency leads to reduced mitochondrial oxygen consumption, ATP production, and mitochondrial mass, resulting in impaired Treg survival and function both <italic>in vitro</italic> and <italic>in vivo</italic> (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Metabolomic profiling shows that TCA cycle intermediates and fatty acid oxidation (FAO) products are markedly reduced upon LKB1 deletion (<xref ref-type="bibr" rid="B39">39</xref>). LKB1 also regulates cholesterol biosynthesis via the mevalonate pathway. Tregs lacking LKB1 or the key enzyme HMGCR show impaired lipid metabolism, increased inflammatory cytokine production, and systemic autoimmunity, which can be partially rescued by mevalonate supplementation (<xref ref-type="bibr" rid="B38">38</xref>). These results emphasize that lipid metabolism is not only a source of bioenergetics but also provides critical intermediates for maintaining immune tolerance. CD36, a fatty acid transporter, has been identified as another important metabolic adaptation in intratumoral Tregs. By facilitating uptake of long-chain fatty acids and oxidized lipoproteins, CD36 enhances PPAR-&#x3b2; signaling, mitochondrial fitness, and NAD<sup>+</sup>/NADH balance, thereby promoting Tregs survival in nutrient-poor tumor microenvironments (<xref ref-type="bibr" rid="B40">40</xref>). Together, these findings demonstrate that Tregs require intact mitochondrial and lipid metabolic pathways for long-term survival, stability, and function.</p>
</sec>
<sec id="s2_4">
<title>Metabolic crosstalk with the microenvironment</title>
<p>Treg metabolism is highly sensitive to external cues. Nutrient availability, oxygen tension, and microbial metabolites all shape Tregs function. Short-chain fatty acids (SCFAs), such as acetate, propionate, and butyrate produced by gut microbiota, promote Tregs differentiation via epigenetic regulation of Foxp3 and enhanced FAO (<xref ref-type="bibr" rid="B26">26</xref>). Propionate facilitates Treg differentiation <italic>in vitro</italic> via the GPR43-HDAC6 axis, which correlates with an elevated Treg/Th17 ratio <italic>in vivo</italic> in mice (<xref ref-type="bibr" rid="B41">41</xref>). Similarly, butyrate and its derivatives exert potent pro-regulatory effects. Treatment with methyl butyrate fosters Treg development and IL-10 secretion in the draining lymph nodes of EAE mice and also directly promotes Treg differentiation <italic>in vitro</italic> (<xref ref-type="bibr" rid="B42">42</xref>). Furthermore, evidence indicates that butyrate itself helps regulate the Th17/Treg balance by activating PPAR&#x3b3;, a process which subsequently promotes the upregulation of CD36 and Foxp3 <italic>in vitro</italic> (<xref ref-type="bibr" rid="B43">43</xref>) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). Tryptophan metabolites, generated by commensals through the indoleamine-2,3-dioxygenase (IDO) pathway, also favor Treg stability while suppressing effector T cell responses. These findings highlight that Treg metabolism is not cell-autonomous but is deeply influenced by interactions with the microbiome and tissue-specific niches. Such insights raise the possibility that microbiome-targeted therapies could modulate Treg metabolism to treat inflammatory diseases.</p>
</sec>
</sec>
<sec id="s3">
<title>Treg metabolism in disease</title>
<sec id="s3_1">
<title>Autoimmunity and chronic inflammation</title>
<p>Metabolic dysregulation of Tregs contributes to autoimmune pathology (<xref ref-type="fig" rid="f2"><bold>Figures 2A&#x2013;C</bold></xref>). For example, constitutive Glut1 activation in Tregs reduces Foxp3 expression and impairs suppression in colitis models (<xref ref-type="bibr" rid="B27">27</xref>), whereas Glut1 deletion has little effect on Treg function (<xref ref-type="bibr" rid="B24">24</xref>). Obesity is associated with increased mTOR activation, glycolytic gene expression, and reduced Treg frequency in adipose tissue, contributing to insulin resistance and chronic inflammation (<xref ref-type="bibr" rid="B44">44</xref>). In multiple sclerosis (MS) and experimental autoimmune encephalomyelitis (EAE), Tregs display impaired mitochondrial metabolism, reduced spare respiratory capacity, and altered lipid handling, correlating with disease severity. Importantly, evidence from human studies highlights a distinct role for glycolysis in maintaining Treg stability. De Rosa et&#xa0;al. demonstrated that glycolysis controls the induction of human Tregs by modulating FOXP3 exon 2 splicing variants (<xref ref-type="bibr" rid="B45">45</xref>). Impaired glycolysis and reduced Foxp3 exon 2 (Foxp3-E2) expression were also observed in iTregs from patients with relapsing-remitting multiple sclerosis (RRMS) and type 1 diabetes (T1D) (<xref ref-type="bibr" rid="B45">45</xref>). Studies have shown that an increase of metabolic sensors such as HIF-1&#x3b1; is responsible for Th17/Treg imbalance that causes disease pathogenesis in EAE (<xref ref-type="bibr" rid="B46">46</xref>). Finally, mice models with Treg-specific deletion of LKB1 further demonstrating the relationship between metabolic dysregulation in Treg, Treg stability, and function in inducing immune imbalance (<xref ref-type="bibr" rid="B47">47</xref>). These observations underscore the potential of targeting Treg metabolism to restore tolerance in autoimmunity.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Treg metabolic changes in the context of disease. <bold>(A)</bold> Tumor infiltrating Tregs (TI-Tregs) have several adaptations: TI Tregs upregulate MCT1 for lactate uptake and Lactate dehydrogenase (LDh) for conversion of Lactate to pyruvate. Additionally, lactate derived PEP fuels TI-Treg proliferation. TI-Tregs upregulate Glut1 and Gult3 for glucose uptake and entry to OXPHOS. Hypoxic conditions induce HIF-1&#x3b1; upregulation and potential destabilization of Foxp3 causing TH17 skewing limiting suppressive function although this requires further studies. CD26 mediated LCFA uptake increases fatty acid oxidation and PPAR&#x3b3;&#xa0;signaling further supporting mitochondrial fitness and OXPHOS. TI-Tregs upregulate SCAP mediated SREBP activation to induce Fatty acid synthesis. Tregs achieve reduction of ROS associated with lipid metabolism by serine dependent glutathione (GSH) synthesis. <bold>(B)</bold> In high-fat diet induced colitis, Tregs uptake long chain fatty acids through CD36 leading to increased peroxide unsaturated fatty acid induced ferroptosis. In Multiple sclerosis, autoimmune hepatitis and type-1 diabetes, increased Akt phosphorylation and mTOR signaling induce expression of HIF-1&#x3b1; and Myc which results GLUT1 receptor and hexokinase 2 upregulation to facilitate glycolytic reprograming. Akt phosphorylation also induces FOXO further exacerbating IFN&#x3b3; production. Reduced SCFA exacerbates Th17/Treg skewing in diseases such as IBD. Reduced LKB1 promotes reduced metabolic fitness and OXPHOS related gene expression as well as Foxp3 stability leading to autoimmune disorder such as acute graft-versus-host disease (aGVHD). <bold>(C)</bold> In Viral infection, Tregs upregulate Glut 1, and glycolytic genes HIF-1&#x3b1; and Myc while decreasing genes associated with. PPAR&#x3b3; signaling and FAO although additional studies are required to in this realm.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1729690-g002.tif">
<alt-text content-type="machine-generated">Diagram illustrating metabolic pathways and changes related to cancer, autoimmunity, and viral infection. Section A details glycolysis and lipid metabolism in cancer. Section B focuses on glycolysis and fatty acid oxidation in autoimmunity, highlighting interactions with signaling molecules like Akt and HIF-1&#x3b1;. Section C emphasizes glycolysis enhancements in viral infections involving factors like PPAR-&#x3b3; and Myc. Arrows indicate pathway upregulation or downregulation, and components like Glut1/3 and CD36 are shown interacting across pathways.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<title>Cancer</title>
<p>In the tumor microenvironment (TME), Tregs adapt their metabolism to survive under hypoxic and nutrient-poor conditions (<xref ref-type="fig" rid="f2"><bold>Figures 2A, B</bold></xref>). Unlike effector T cells, which suffer from nutrient competition and exhaustion, mouse Tumor-infiltrating Tregs (TI-Tregs) upregulate lactate transporters (MCT1) and lactate dehydrogenase (LDh) to metabolize extracellular lactate into pyruvate for OXPHOS (<xref ref-type="bibr" rid="B48">48</xref>). Additionally, TI-Tregs also utilize Lactate to generate Phosphoenolpyruvate (PEP), a precursor of pyruvate suggesting increased gluconeogenesis to fuel their proliferation (<xref ref-type="bibr" rid="B48">48</xref>). Interestingly, mouse TI-Tregs upregulate HIF-1&#x3b1; due to hypoxic conditions, which enhances their glycolytic-driven migration but compromises their suppressive function (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). To maintain suppressive function, mouse TI-Tregs utilize fatty acid and lipid metabolism; indeed, TI-Tregs upregulate CD36 expression, which enhances fatty acid oxidation and the PPAR signaling pathway responsible for mitochondrial fitness and adaptation to lipid metabolism (<xref ref-type="bibr" rid="B40">40</xref>). In humans, TI-Tregs also displayed a gene signature oriented to glycolysis and lipid biosynthesis (<xref ref-type="bibr" rid="B51">51</xref>). Additionally, mouse studies also show that TI-Tregs upregulate SCAP/SREBP signaling, leading to <italic>de novo</italic> lipid biosynthesis, including fatty acids and cholesterols (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). To withstand the inevitable ROS build-up associated with increased lipid metabolism, TI-Tregs upregulate antioxidant molecule synthesis such as serine-dependent glutathione (GSH) synthesis (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B54">54</xref>). This mechanism is conserved in humans, as pharmacological inhibition of GSH synthesis in human iTregs led to loss of suppression and reduced FoxP3 expression (<xref ref-type="bibr" rid="B54">54</xref>). Furthermore, TI-Tregs compete with effector T cell to uptake the limited glucose in the TME by upregulating GLUT1 and GLUT3 receptors (<xref ref-type="bibr" rid="B50">50</xref>). These adaptations allow them to maintain suppressive capacity and dampen anti-tumor immunity, representing a major barrier to immunotherapy. Lipid metabolism also plays a role in TI-Tregs; TI-Tregs display a metabolic preference for lipid utilization compared to their circulating counterparts in different types of human cancer. Functional studies also confirm that TI-Tregs uptake more fatty acids in mouse cancer models (<xref ref-type="bibr" rid="B40">40</xref>). Targeting Treg metabolism, for example, through inhibition of CD36 or MCT1, is therefore being explored as a strategy to selectively impair tumor-infiltrating Tregs while sparing systemic tolerance.</p>
</sec>
<sec id="s3_3">
<title>Infectious disease</title>
<p>In chronic viral infections such as HIV and HCV, Tregs expand and display altered metabolic signatures, contributing to viral persistence by suppressing effector T cell responses (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>). In chronic HIV patients undergoing AntiRetroviral Therapy (ART), a study revealed that gut Treg cells from patients had upregulated glycolysis-related genes while downregulating genes associated with OXPHOS and FAO, leading to Treg cells expansion with decreased function (<xref ref-type="bibr" rid="B55">55</xref>). A study on Tregs of Long-term non-progressor (LTNPs), a small group of HIV-infected individuals with decreased viral load without ART, has increased glycolytic genes such as Myc and HIF-1&#x3b1; and glycolytic receptors such as Glut1, while having decreased FAO and PPAR signaling, which suggests increased expansion but decreased Treg suppressive capacity (<xref ref-type="bibr" rid="B56">56</xref>). Conversely, in acute infection, Tregs may prevent immunopathology by limiting excessive inflammation (<xref ref-type="bibr" rid="B57">57</xref>). Yet, there is a large gap in knowledge regarding establishing a direct relationship between alteration of Treg metabolism under chronic and acute infections. Such investigations can provide bases for strategic manipulation of Treg metabolism to balance pathogen clearance with tissue protection.</p>
</sec>
<sec id="s3_4">
<title>Future directions and therapeutic implications</title>
<p>The field of Treg metabolism is rapidly evolving, with several promising directions. Therapeutic modulation of key metabolic pathways, such as mTOR, AMPK, and FAO, offers the potential to enhance or suppress Treg function depending on the disease context; for instance, metformin, an AMPK activator, promotes FAO and supports Treg survival in autoimmune settings. However, systemic manipulation of metabolism poses risks due to widespread effects, highlighting the need for precision targeting strategies that are tissue-specific or context-dependent. Ultimately, these insights hold strong potential for clinical translation, informing the design of adoptive Treg therapies for autoimmunity and transplantation, as well as strategies for selectively targeting Tregs to improve cancer immunotherapy.</p>
</sec>
</sec>
<sec id="s4" sec-type="conclusions">
<title>Conclusion</title>
<p>Regulatory T cells are indispensable for immune tolerance and tissue homeostasis. Their ability to adapt metabolism between glycolysis, OXPHOS, and lipid pathways underlies their functional heterogeneity across contexts such as the thymus, peripheral tissues, and tumors. Dysregulated metabolism compromises their suppressive function and contributes to pathology in autoimmunity, cancer, chronic infection, and obesity. A deeper mechanistic understanding of Treg metabolism, combined with advances in technology, is likely to open new avenues for therapeutic intervention. Targeting metabolic pathways offers both opportunities and challenges but holds great promise for fine-tuning immune responses in diverse disease settings.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="author-contributions">
<title>Author contributions</title>
<p>FG: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JH: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MB: Conceptualization, Funding acquisition, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s7" sec-type="COI-statement">
<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 id="s8" sec-type="ai-statement">
<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 id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;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>
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