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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>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1755928</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>Regulatory T cells in hypoxic environments</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Gonz&#xe1;lez-Rivera</surname><given-names>Lourdes</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Luna-Guti&#xe9;rrez</surname><given-names>Rodrigo</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>C&#xe1;rdenas</surname><given-names>Stephanie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Merino-Gonz&#xe1;lez</surname><given-names>Consuelo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Handy</surname><given-names>Alex</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
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<contrib contrib-type="author">
<name><surname>Pepper</surname><given-names>In&#xe9;s</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>L&#xf3;pez</surname><given-names>Mercedes Natalia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Facultad de Medicina, Instituto de Ciencias Biom&#xe9;dicas (ICBM), Universidad de Chile, N&#xfa;cleo Interdisciplinario de Farmacolog&#xed;a e Inmunolog&#xed;a</institution>, <city>Santiago</city>,&#xa0;<country country="cl">Chile</country></aff>
<aff id="aff2"><label>2</label><institution>Departamento de Inmunolog&#xed;a, Hospital Cl&#xed;nico Universidad de Chile Jos&#xe9; Joaqu&#xed;n Aguirre</institution>, <city>Santiago</city>,&#xa0;<country country="cl">Chile</country></aff>
<aff id="aff3"><label>3</label><institution>Instituto de Ciencias Biom&#xe9;dicas (ICBM), Facultad de Medicina, Universidad de Chile, N&#xfa;cleo Interdisciplinario de Fisiolog&#xed;a, Biof&#xed;sica y Fisiopatolog&#xed;a</institution>, <city>Santiago</city>,&#xa0;<country country="cl">Chile</country></aff>
<aff id="aff4"><label>4</label><institution>Faculty of Medicine, Universidad de Chile</institution>, <city>Santiago</city>,&#xa0;<country country="cl">Chile</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Mercedes Natalia L&#xf3;pez, <email xlink:href="mailto:melopez@uchile.cl">melopez@uchile.cl</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1755928</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>29</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Gonz&#xe1;lez-Rivera, Luna-Guti&#xe9;rrez, C&#xe1;rdenas, Merino-Gonz&#xe1;lez, Handy, Pepper and L&#xf3;pez.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Gonz&#xe1;lez-Rivera, Luna-Guti&#xe9;rrez, C&#xe1;rdenas, Merino-Gonz&#xe1;lez, Handy, Pepper and L&#xf3;pez</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Oxygen availability is considered as an important determinant of immune regulation, yet its impact on regulatory T cells remains incompletely understood. In this review, we synthesize current evidence on how chronic and intermittent hypoxia influence the differentiation, stability and function of regulatory T cells across diverse physiological and pathological settings. We describe the main cellular pathways engaged during hypoxic adaptation, with emphasis on the role of hypoxia-inducible factors in shaping regulatory T cell metabolism and lineage integrity. We then evaluate findings from clinical contexts characterized by sustained or cyclical oxygen deprivation, including chronic lung disease, sleep-disordered breathing and severe viral infection. Across these conditions, hypoxia is associated with alterations in regulatory T cell phenotype and its suppressive function, although patterns vary according to microenvironment and disease stage. A clearer understanding of how distinct hypoxic patterns modulate regulatory T cell biology will be essential for identifying therapeutic strategies aimed at restoring immune balance in hypoxia-associated disease.</p>
</abstract>
<kwd-group>
<kwd>regulatory T (Treg) cell</kwd>
<kwd>hypoxia-Inducible factor 1, alpha Subunit</kwd>
<kwd>hypoxia</kwd>
<kwd>metabolic reprogramming</kwd>
<kwd>obstructive sleep apnea</kwd>
<kwd>chronic obstructive pulmonary disease</kwd>
<kwd>COVID-19</kwd>
<kwd>inflammatory mediators</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Fondo Nacional de Desarrollo Cient&#xed;fico y Tecnol&#xf3;gico (FONDECYT, Chile) under grant No. 1231901, and by the Agencia Nacional de Investigaci&#xf3;n y Desarrollo (ANID, Chile) through the FONDAP Center CECAN, grant No. 152220002. The funders had no role in the conception or design of the study, the literature review, data analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
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<fig-count count="0"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="72"/>
<page-count count="7"/>
<word-count count="3369"/>
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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>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Regulatory T cells (Tregs) maintain immune homeostasis and self-tolerance by restraining autoreactive and inflammatory responses (<xref ref-type="bibr" rid="B1">1</xref>), a concept that emerged from early tolerance studies and the historical &#x201c;suppressor T cell&#x201d; paradigm (<xref ref-type="bibr" rid="B2">2</xref>). A landmark study by Sakaguchi et&#xa0;al. identified CD4<sup>+</sup> cells with high, sustained CD25 (IL-2R&#x3b1;) expression as essential for self-tolerance, establishing CD25 as an early Treg marker (<xref ref-type="bibr" rid="B3">3</xref>). The subsequent identification of FOXP3 as a lineage-defining transcription factor was pivotal; in parallel genetic and functional studies, Brunkow et&#xa0;al. and Wildin et&#xa0;al. demonstrated that FOXP3 is indispensable for immune regulation in mice and humans (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>), providing a mechanistic explanation for immune dysregulation, polyendocrinopathy, enteropathy, X-linked (IPEX) syndrome due to pathogenic FOXP3 variants (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Subsequent studies showed that FOXP3 is preferentially expressed in CD4<sup>+</sup>CD25<sup>+</sup> cells and is sufficient to confer suppressive function, establishing it as the master regulator of the Treg lineage (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Tregs are classified by developmental origin into thymus-derived Tregs (tTregs) and induced Tregs, the latter arising from na&#xef;ve conventional CD4<sup>+</sup> T cells upon T cell receptor activation under regulatory polarization conditions, most prominently TGF-&#x3b2; and IL-2 (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Induced Tregs arise either <italic>in vivo</italic> in peripheral tissues (pTregs) or <italic>in vitro</italic> under experimental polarization (iTregs) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>). pTregs are generated in peripheral tissues and can acquire tissue-adapted features shaped by local signals (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B12">12</xref>). At the epigenetic level, pTregs display partial demethylation of the Treg-specific demethylated region (TSDR), in contrast to the fully demethylated TSDR observed in tTregs, which confers greater stability of FOXP3 expression (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Consistent with their mode of generation, iTregs reflect the <italic>in vitro</italic> T cell receptor stimulus, whereas pTregs are enriched for environmental antigens and support tolerance to commensal microbiota (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Beyond immune suppression, Tregs regulate immune homeostasis through multiple mechanisms, including cytokine secretion, modulation of antigen-presenting cells, metabolic interference, and cytolysis (<xref ref-type="bibr" rid="B17">17</xref>). In addition to controlling inflammation, Tregs actively promote tissue repair and regeneration across multiple organs (<xref ref-type="bibr" rid="B18">18</xref>). This combined capacity for immunoregulation and tissue support is now recognized as a fundamental aspect of Treg biology, enabling these cells to preserve systemic and local homeostasis across a range of physiological contexts (<xref ref-type="bibr" rid="B19">19</xref>). However, under sustained inflammatory stress, Treg plasticity may drive partial lineage instability, giving rise to hybrid populations that co-express FOXP3 and effector transcription factors such as ROR&#x3b3;t and can acquire Th17-like features (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Among the many factors shaping Treg function in peripheral tissues, oxygen availability has emerged as a key regulator, with growing evidence indicating that it can influence their differentiation, stability, and suppressive capacity (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Defining how Tregs respond to hypoxia is fundamental for interpreting their immunoregulatory function in hypoxia-driven diseases. This review highlights current evidence from clinically relevant hypoxic conditions, with emphasis on obstructive sleep apnea, chronic lung disease, and COVID-19, where hypoxemia and inflammation converge to shape Treg phenotype and function.</p>
</sec>
<sec id="s2">
<title>Hypoxia</title>
<p>Hypoxia arises when local oxygen delivery fails to meet metabolic demand (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). This review focuses on chronic sustained (CH) and intermittent hypoxia (IH), excluding acute patterns. CH, observed in chronic obstructive pulmonary disease (COPD), involves long-lasting oxygen reduction that reshapes immune metabolism, gene expression, and function (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B26">26</xref>). IH, characteristic of obstructive sleep apnea (OSA), consists of recurrent deprivation-reoxygenation cycles promoting oxidative stress and inflammatory signaling via redox-sensitive pathways (<xref ref-type="bibr" rid="B27">27</xref>). Importantly, analogous oxygen landscapes also emerge beyond cardiopulmonary disease: solid tumors display spatially heterogeneous hypoxic niches together with temporally fluctuating hypoxia within the tumor microenvironment (TME), conditions that can promote immunosuppression and immune evasion (<xref ref-type="bibr" rid="B28">28</xref>). Although hypoxia has been widely examined across inflammatory settings, its Treg-specific effects on differentiation, metabolic programming and suppressive function remain incompletely defined, underscoring the need to resolve how CH and IH differentially shape Treg adaptation.</p>
</sec>
<sec id="s3">
<title>HIF pathway and cellular adaptation to hypoxia</title>
<p>The cellular response to reduced oxygen availability is largely coordinated by hypoxia-inducible factors (HIFs), which link oxygen sensing to transcriptional programs that regulate metabolism and inflammation (<xref ref-type="bibr" rid="B26">26</xref>). Two major isoforms operate in this pathway, HIF-1&#x3b1; and HIF-2&#x3b1;. While HIF-1&#x3b1; is broadly expressed, HIF-2&#x3b1; displays a more restricted distribution across immune cells (<xref ref-type="bibr" rid="B29">29</xref>). Functionally, HIF-1&#x3b1; predominates in early/acute hypoxia, while also influencing T cell differentiation and the balance between effector and regulatory lineages (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). By contrast, HIF-2&#x3b1; becomes more prominent during sustained hypoxia (<xref ref-type="bibr" rid="B32">32</xref>). Mechanistically, HIF acts as an alpha-beta heterodimer that binds hypoxia-response elements to induce adaptive gene expression (<xref ref-type="bibr" rid="B23">23</xref>). In normoxia, prolyl hydroxylase enzymes hydroxylate HIF-1&#x3b1;, enabling Hippel-Lindau (VHL) dependent ubiquitination and proteasomal degradation; when oxygen becomes limiting, hydroxylation is inhibited, allowing HIF stabilization, nuclear accumulation, and activation of programs linked to glycolysis, angiogenesis, and survival (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>Beyond its canonical role as an oxygen sensor, HIF-1&#x3b1; has emerged as a central regulator of immunometabolism, a field that explores the interplay between metabolic pathways and immune function (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Under hypoxic stress, HIF-driven transcriptional programs redirect metabolic flux from mitochondrial oxidative phosphorylation (OXPHOS) toward glycolysis, enabling energy production in the absence of sufficient oxygen (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In immune cells, metabolic reprogramming is not merely a survival mechanism but a determinant of functional identity, as differentiation and effector specialization rely on distinct metabolic pathways (<xref ref-type="bibr" rid="B36">36</xref>).</p>
</sec>
<sec id="s4">
<title>Tregs and HIF</title>
<p>Despite increasing recognition of the interplay between oxygen availability and immune regulation, the mechanisms through which hypoxia and HIF-1&#x3b1; shape Treg differentiation and stability remain incompletely understood. Tregs reside and function within a wide range of low-oxygen microenvironments, including inflamed tissues, tumors, and mucosal barriers where they undergo phenotypic and metabolic adaptation (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B37">37</xref>). In Tregs, HIF-2&#x3b1; is essential for suppressive activity; its deficiency promotes lineage instability, conversion into IL-17-producing ex-Tregs, and impaired inflammatory control. HIF-2&#x3b1; limits HIF-1&#x3b1; activity, stabilizing FOXP3 and restraining Th17 polarization under chronic hypoxic conditions (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>A complementary example of sustained hypoxia shaping Treg biology is hypoxia-associated pulmonary vascular remodeling, where chronic hypoxia converges with IL-6-dominated inflammation and metabolic stress (<xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>). In pulmonary hypertension models, impaired Treg stability and function is linked to amplified perivascular inflammation and remodeling, consistent with hypoxia-driven erosion of FOXP3-dependent regulation (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Mechanistically, this aligns with the pathways outlined above in which sustained hypoxic signaling and inflammatory cues reinforce glycolytic programming and epigenetic destabilization of the FOXP3 locus, thereby promoting polarization toward IL-17-producing phenotypes (<xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>Treg bioenergetics are primarily supported by OXPHOS and fatty acid oxidation; however, in inflammatory niches, they can upregulate glycolysis for migration and survival (<xref ref-type="bibr" rid="B35">35</xref>). Experimental studies indicate that restricting glycolytic activity enhances Treg stability and expansion, highlighting a close link between metabolic state and suppressive function (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B44">44</xref>). However, current evidence, particularly in humans, remains limited and heterogeneous, with evidence supporting both pro- and anti-regulatory effects of hypoxia on Treg differentiation and suppressive function (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B44">44</xref>). This variability likely reflects differences in hypoxic pattern, tissue context, inflammation, and metabolic demands.</p>
<p>This complexity is partly driven by the dual, context-dependent actions of HIF-1&#x3b1;, which functions as an intrinsic metabolic checkpoint that can oppose Treg lineage commitment and stability (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B45">45</xref>). Under physiological or basal metabolic conditions, HIF-1&#x3b1; promotes a glycolytic program that is incompatible with the OXPHOS-dependent metabolic profile required for stable Treg differentiation (<xref ref-type="bibr" rid="B44">44</xref>). The inhibitory role of HIF-1&#x3b1; is executed primarily through a post-translational mechanism: HIF-1&#x3b1; can directly bind FOXP3 and target it for ubiquitination and proteasomal degradation, thereby reducing FOXP3 protein abundance without altering its transcription (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>This degradative mechanism, through which HIF-1&#x3b1; attenuates Treg development by binding FOXP3 and targeting it for proteasomal degradation, contrasts with its context-dependent, non-inhibitory role in certain physiological settings (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). For instance, in the intestinal mucosa, HIF-1&#x3b1; binds the FOXP3 promoter to enhance transcription and support Treg function (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B48">48</xref>). Beyond post-translational mechanisms, HIF-1&#x3b1; also influences Treg stability through epigenetic regulation of the FOXP3 locus (<xref ref-type="bibr" rid="B45">45</xref>). Sustained FOXP3 expression in committed Tregs depends on TSDR demethylation by the ten-eleven translocation (TET) enzymes. Hypoxia, in part via HIF-1&#x3b1; stabilization, limits TET activity, favoring TSDR hypermethylation and destabilizing FOXP3 transcription (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B26">26</xref>). This is reinforced by IL-6/STAT3 signaling, which upregulates DNA methyltransferase 1 (DNMT1) to directly methylate the TSDR, antagonizing the program required for stable Treg identity (<xref ref-type="bibr" rid="B20">20</xref>). Together, these mechanisms create a feed-forward loop whereby hypoxia and inflammation synergize to erode Treg stability and promote Th17 polarization (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>Shi et&#xa0;al. first identified HIF-1&#x3b1;-driven glycolysis as a metabolic checkpoint that diverts CD4<sup>+</sup> T cell differentiation toward Th17 cells while suppressing FOXP3<sup>+</sup> Treg generation (<xref ref-type="bibr" rid="B35">35</xref>). Building on this, Dang et&#xa0;al. demonstrated that HIF-1&#x3b1; not only promotes ROR&#x3b3;t activation but also binds directly to FOXP3, targeting it for ubiquitination and degradation, thereby restraining Treg differentiation under hypoxic or inflammatory conditions (<xref ref-type="bibr" rid="B45">45</xref>). However, the relevance of these pathways under hypoxia <italic>in vivo</italic> remains unclear. Single-cell analyses by Lantz et&#xa0;al. did not reveal differential HIF-1&#x3b1; expression in Tregs, yet suggested that hypoxia-induced stabilization of HIF-1&#x3b1; in FOXP3-low Tregs may promote their conversion toward Th17 cells via ROR&#x3b3;t activation and FOXP3 destabilization (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>The influence of HIF-1&#x3b1; is not uniformly suppressive. In mucosal hypoxia, HIF-1&#x3b1; can enhance FOXP3 transcription and support Treg function. Clambey et&#xa0;al. showed that physiological hypoxia promotes FOXP3 induction via direct HIF-1&#x3b1; binding to hypoxia-responsive elements in the FOXP3 promoter (<xref ref-type="bibr" rid="B48">48</xref>). Complementary work by Lee et&#xa0;al. demonstrated that the VHL-HIF regulatory axis dynamically controls Treg stability: constitutive HIF-1&#x3b1; activation destabilizes the lineage and reduces FOXP3 expression, whereas physiological HIF-1&#x3b1; activity supports Treg adaptation (<xref ref-type="bibr" rid="B46">46</xref>).</p>
<p>In this context, Feldhoff et&#xa0;al. demonstrated that pharmacological HIF-1&#x3b1; stabilization with dimethyloxalylglycine (DMOG) impairs <italic>de novo</italic> iTreg differentiation, reducing FOXP3<sup>+</sup> frequency from ~40% to ~10% without redirecting cells toward Th17 or Th2 lineages. This supports the interpretation that HIF-1&#x3b1; directly suppresses FOXP3 induction, rather than indirectly inhibiting commitment through reprogramming toward alternative effector subtypes (<xref ref-type="bibr" rid="B10">10</xref>). In cancer, tumor hypoxia promotes an immunosuppressive TME by enriching FOXP3<sup>+</sup> Tregs. Hypoxia stabilizes HIFs and induces CXCL12-CXCR4 signaling to recruit and retain Tregs within poorly perfused niches (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). In lung cancer, hypoxia-driven CXCL12-CXCR4 signaling is well documented and supports preferential trafficking of Tregs into the TME (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). Consequently, tumors display elevated Treg: CD8<sup>+</sup> ratios, which correlate with poorer outcomes. Within these hypoxic niches, Tregs maintain suppressive function, a phenotype that may be supported by HIF-2&#x3b1;-dependent programs rather than by acute HIF-1&#x3b1;-driven effects on iTreg induction, thereby facilitating immune evasion and tumor progression (<xref ref-type="bibr" rid="B28">28</xref>).</p>
</sec>
<sec id="s5">
<title>Treg responses in hypoxic pathological contexts</title>
<p>Despite growing insight into how hypoxia and HIF-1&#x3b1; shape Treg biology, clinical evidence remains limited and often heterogeneous. Nevertheless, current data begin to clarify how distinct hypoxic patterns influence immune regulation. The following sections synthesize available findings on Treg adaptation in chronic hypoxia, exemplified by COPD, in intermittent hypoxia characteristic of OSA, and in clinical settings such as COVID-19, where oxygen availability and immune regulation are profoundly altered.</p>
<sec id="s5_1">
<title>Tregs in chronic sustained hypoxia: evidence from COPD</title>
<p>COPD is a progressive respiratory disorder characterized by persistent airflow limitation, airway remodeling, and chronic inflammation. Sustained oxygen deprivation contributes to disease progression by promoting continuous activation of hypoxia-inducible pathways, oxidative stress, and inflammatory signaling (<xref ref-type="bibr" rid="B54">54</xref>). The role of Tregs in COPD remains incompletely defined, with studies reporting highly variable results across patient cohorts and anatomical compartments. Some reports describe an increased proportion of circulating CD4<sup>+</sup>CD25<sup>+</sup>CD127<sup>-</sup>FOXP3<sup>+</sup> Tregs in COPD patients compared with healthy non-smokers, but this difference often disappears when compared to non COPD smokers, suggesting that part of the observed immune variation may be related to smoking rather than the disease itself (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>In contrast, other groups have recently demonstrated a decline in Treg frequency and FOXP3 expression, particularly in moderate to severe COPD (<xref ref-type="bibr" rid="B12">12</xref>). Hou et&#xa0;al. found no significant differences in total CD4<sup>+</sup>CD25<sup>+</sup>FOXP3<sup>+</sup> Tregs among COPD patients, smokers, and controls but observed a phenotypic redistribution marked by reduced resting and activated Tregs (CD25<sup>++</sup>CD45RA<sup>+</sup> and CD25<sup>+++</sup>CD45RA<sup>-</sup>) together with an increase in cytokine-secreting, non-suppressive subsets (Fr III: CD25<sup>++</sup>CD45RA<sup>-</sup>), indicating impaired regulatory function (<xref ref-type="bibr" rid="B57">57</xref>). Similarly, Sileikiene et&#xa0;al. reported lower Treg proportions in patients with advanced COPD (GOLD III-IV) compared with those with milder disease and non COPD smokers (<xref ref-type="bibr" rid="B58">58</xref>). During acute exacerbations, the pattern remains inconsistent: while some studies describe a transient reduction in circulating Tregs, Xiong et&#xa0;al. observed the opposite trend, with a temporary expansion during exacerbations (<xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>A recent meta-analysis by Jalalvand et&#xa0;al., which integrated 24 studies comparing COPD patients and healthy controls, found no significant differences in the overall proportion of circulating Tregs. However, the authors noted substantial heterogeneity in study design, disease stage, and Treg phenotyping, which may have obscured subtle alterations in specific subsets. They proposed that, despite stable numbers, functional impairment and phenotypic instability of Tregs could contribute to the persistent inflammation observed in COPD, consistent with evidence of reduced suppressive subsets and increased proinflammatory Treg phenotypes reported in individual studies (<xref ref-type="bibr" rid="B60">60</xref>).</p>
</sec>
<sec id="s5_2">
<title>Tregs in intermittent hypoxia: Evidence from obstructive sleep apnea</title>
<p>OSA is a prevalent disorder characterized by recurrent episodes of upper airway obstruction during sleep, leading to transient cessations (apneas) or reductions (hypopneas) in airflow (<xref ref-type="bibr" rid="B61">61</xref>). These events result in IH, sleep fragmentation, and sympathetic activation, which together promote oxidative stress, systemic inflammation, and metabolic dysregulation (<xref ref-type="bibr" rid="B62">62</xref>). Over time, this pattern of cyclic intermittent hypoxia contributes to cardiovascular, metabolic, and immune alterations, positioning OSA as a clinically relevant model of chronic intermittent hypoxia (<xref ref-type="bibr" rid="B63">63</xref>).</p>
<p>Evidence on the impact of chronic intermittent hypoxia on Tregs in OSA remains limited and largely derived from small clinical and experimental studies. In non-obese children with OSA, Ye et&#xa0;al. reported a significant reduction in circulating CD4<sup>+</sup>CD25<sup>+</sup>FOXP3<sup>+</sup> Tregs accompanied by increased Th17 cells and a higher Th17/Treg ratio, which correlated with disease severity, inflammation, and HIF-1&#x3b1; expression; adenotonsillectomy reversed these changes, restoring Treg frequencies and lowering proinflammatory cytokines (<xref ref-type="bibr" rid="B64">64</xref>). Anderson et&#xa0;al. similarly demonstrated that overall tonsillar Tregs may be unchanged, but a decrease in FOXP3<sup>+</sup> regulatory subsets within tonsillar tissue, particularly CD8<sup>+</sup>FOXP3<sup>+</sup> Tregs, alongside elevated IL-17 and IL-1&#x3b2; expression, indicating local immune dysregulation and Th17-driven inflammation in pediatric OSA (<xref ref-type="bibr" rid="B65">65</xref>). In adults, Shen et&#xa0;al. found a similar imbalance, with decreased Tregs and elevated Th17 cells in untreated OSA, both of which normalized following continuous positive airway pressure (CPAP) therapy, together with reduced HIF-1&#x3b1;, IL-6, and IL-17 levels (<xref ref-type="bibr" rid="B47">47</xref>). Supporting these observations, a Mendelian randomization analysis by Ye et&#xa0;al. identified a protective association between higher levels of activated and secreting Tregs and reduced OSA risk, suggesting that regulatory T cell activity may represent a compensatory mechanism to counteract inflammation induced by IH (<xref ref-type="bibr" rid="B66">66</xref>).</p>
</sec>
<sec id="s5_3">
<title>Tregs in COVID-19</title>
<p>In COVID-19, profound, often silent hypoxemia accompanies intense pulmonary inflammation and cytokine storm, creating a chronically sustained hypoxic environment (<xref ref-type="bibr" rid="B67">67</xref>). Among all immune cell populations perturbed by SARS-CoV-2, Tregs stand out as one of the most consistently disrupted, revealing a profound and stage-specific imprint of COVID-19 on immune regulation (<xref ref-type="bibr" rid="B68">68</xref>&#x2013;<xref ref-type="bibr" rid="B70">70</xref>). Acute SARS&#x2212;CoV&#x2212;2 infection causes a rapid loss of circulating Tregs, particularly the na&#xef;ve and central&#x2212;memory subsets, and this decline closely parallels the severity of systemic inflammation (<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B71">71</xref>). Aquino et&#xa0;al. further demonstrated that this depletion is long-lasting: even 12 months after infection, total Treg numbers remain below those of healthy donors, with only partial recovery of CD39 and persistent suppression of CD73 expression (<xref ref-type="bibr" rid="B70">70</xref>). In parallel, Caldrer et&#xa0;al. showed that reduced Treg counts at hospital admission have strong prognostic value, with baseline levels predicting clinical worsening during hospitalization (<xref ref-type="bibr" rid="B71">71</xref>). Additional work by Salehi Khesht et&#xa0;al. indicates that hospitalized and ICU patients display the most pronounced reductions in Treg frequency, accompanied by diminished FOXP3 expression and impaired IL-10 production, both inversely correlated with inflammatory markers such as CRP and ferritin (<xref ref-type="bibr" rid="B72">72</xref>). In severe disease, expanded Tregs adopt a dysfunctional, tumor-like phenotype with IL-32 expression, decoupling numerical increases from suppressive efficacy (<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>).</p>
</sec>
</sec>
<sec id="s6" sec-type="discussion">
<title>Discussion</title>
<p>Across hypoxic settings, Tregs emerge as key intermediaries linking oxygen availability to the regulation of immune responses. The evidence reviewed here indicates that hypoxia influences Treg abundance, stability, and functional specialization through mechanisms that reflect both the intensity and the temporal pattern of oxygen deprivation. These observations support the concept that Tregs are highly sensitive to fluctuations in metabolic and microenvironmental cues, positioning them as active participants in the immune regulation triggered by hypoxia rather than passive targets of tissue stress. Important uncertainties, however, remain unresolved. Most studies rely on peripheral blood measurements, which only partially capture the behavior of tissue-resident Tregs operating within profoundly hypoxic niches. Variation in Treg phenotyping strategies and inconsistent definitions of functional subsets also limit the comparability of existing reports. Mechanistically, the dual actions of HIF-1&#x3b1; underscore the complexity of Treg responses: depending on the context, HIF-1&#x3b1; can stabilize FOXP3 expression and support suppressive function or, conversely, promote lineage instability and inflammatory skewing. This suggests that metabolic and epigenetic pathways intersect with oxygen sensing in a more nuanced manner than previously appreciated. Taken together, current findings highlight a need for a more integrated understanding of how hypoxia shapes Treg biology across diseases. Given the heterogeneity of available studies, <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> summarizes key findings across hypoxic clinical settings, highlighting shared alterations in Treg phenotype as well as context-specific adaptations linked to distinct patterns of oxygen deprivation. Future work will require standardized characterization of Treg subsets, incorporation of tissue-level analyses, and the application of high-resolution metabolic and epigenomic profiling. Such approaches will be essential to determine whether modulating Treg responses to hypoxia can be leveraged as a therapeutic strategy in conditions characterized by chronic sustained or chronic intermittent oxygen deprivation.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary of key studies evaluating Treg alterations across hypoxic conditions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Researchers</th>
<th valign="middle" align="center">Context or condition</th>
<th valign="middle" align="center">Population or experimental model</th>
<th valign="middle" align="center">Key Treg findings</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="4" align="left">Tregs and HIF-1&#x3b1;</th>
</tr>
<tr>
<td valign="middle" align="center">Shi 2011; Dang 2011 (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="middle" align="center">HIF-1&#x3b1; regulation (central mechanism)</td>
<td valign="middle" align="center">Mouse and <italic>in vitro</italic></td>
<td valign="middle" align="center">HIF-1&#x3b1; promotes glycolysis, &#x2191; Th17, and drives FOXP3 degradation &#x2192; Treg instability</td>
</tr>
<tr>
<td valign="middle" align="center">Clambey 2012 (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="middle" align="center">Physiologic mucosal hypoxia</td>
<td valign="middle" align="center">Inflamed mucosal tissue (mouse)</td>
<td valign="middle" align="center">Low O<sub>2</sub> physiologic environments may &#x2191; FOXP3 and enhance suppressive function</td>
</tr>
<tr>
<td valign="middle" align="center">Lee 2015 (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="middle" align="center">VHL-HIF-1&#x3b1; Treg alteration</td>
<td valign="middle" align="center">Genetically modified Tregs (mouse)</td>
<td valign="middle" align="center">Sustained HIF-1&#x3b1; activation &#x2192; &#x2193; FOXP3, &#x2191; IFN-&#x3b3;; silencing restores function</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Chronic obstructive pulmonary disease</th>
</tr>
<tr>
<td valign="middle" align="center">Kalathil 2014; Vargas-Rojas 2011; Hou 2020; Sileikiene 2019 (<xref ref-type="bibr" rid="B55">55</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="middle" align="center">COPD</td>
<td valign="middle" align="center">COPD patients, smokers, non-smokers</td>
<td valign="middle" align="center">Total Tregs normal or &#x2191; but dysfunctional: &#x2193; suppressive Tregs, &#x2191; non-functional Tregs, &#x2191; Th17</td>
</tr>
<tr>
<td valign="middle" align="center">Hou 2020; Sileikiene 2019 (<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="middle" align="center">Treg subsets in COPD</td>
<td valign="middle" align="center">Peripheral blood and bronchial mucosa</td>
<td valign="middle" align="center">&#x2193; resting/activated Tregs; &#x2191; pro-inflammatory Treg-like populations (Fr III)</td>
</tr>
<tr>
<td valign="middle" align="center">Xiong 2022 (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="middle" align="center">COPD exacerbation</td>
<td valign="middle" align="center">Patients in exacerbation vs stable state</td>
<td valign="middle" align="center">Variable: transient &#x2193; or &#x2191; in Tregs depending on clinical phase</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Obstructive sleep apnea</th>
</tr>
<tr>
<td valign="middle" align="center">Ye 2015 (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="middle" align="center">Pediatric OSA (blood)</td>
<td valign="middle" align="center">Children with obstructive sleep apnea</td>
<td valign="middle" align="center">&#x2193; Tregs, &#x2191; Th17; &#x2191; Th17/Treg ratio correlates with severity</td>
</tr>
<tr>
<td valign="middle" align="center">Anderson 2014 (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="middle" align="center">Pediatric OSA (tonsils)</td>
<td valign="middle" align="center">Tonsillar tissue</td>
<td valign="middle" align="center">&#x2194; Tonsillar Tregs (CD4<sup>+</sup>CD25<sup>+</sup>FOXP3<sup>+</sup>)</td>
</tr>
<tr>
<td valign="middle" align="center">Shen 2024 (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="middle" align="center">Adult OSA (before/after CPAP)</td>
<td valign="middle" align="center">Adults with OSA</td>
<td valign="middle" align="center">&#x2193; Tregs, &#x2191; Th17, &#x2191; HIF-1&#x3b1;; CPAP reverses alterations</td>
</tr>
<tr>
<td valign="middle" align="center">Ye 2012 (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="middle" align="center">Adult OSA<break/>(blood)</td>
<td valign="middle" align="center">Adults with OSA vs healthy controls</td>
<td valign="middle" align="center">&#x2191; Th17 cells, &#x2191; IL-17/IL-6, &#x2191; ROR&#x3b3;t; &#x2193; Tregs (CD4<sup>+</sup>CD25<sup>+</sup>FOXP3<sup>+</sup>), &#x2193; FOXP3 mRNA</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Tregs in COVID-19</th>
</tr>
<tr>
<td valign="middle" align="center">Galvan-Pe&#xf1;a 2021 (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="middle" align="center">Acute COVID-19</td>
<td valign="middle" align="center">Mild, moderate, severe patients</td>
<td valign="middle" align="center">&#x2193; na&#xef;ve/memory Tregs proportional to severity; FOXP3^high dysfunctional Tregs with IL-32</td>
</tr>
<tr>
<td valign="middle" align="center">Caldrer 2021 (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="middle" align="center">Hospitalized COVID-19</td>
<td valign="middle" align="center">Hospitalized patients</td>
<td valign="middle" align="center">Treg levels predict clinical worsening</td>
</tr>
<tr>
<td valign="middle" align="center">Salehi Khesht 2021 (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="middle" align="center">Severe COVID</td>
<td valign="middle" align="center">ICU patients</td>
<td valign="middle" align="center">&#x2193; FOXP3, &#x2193; IL-10; strong Treg loss</td>
</tr>
<tr>
<td valign="middle" align="center">Aquino 2024 (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="middle" align="center">Post-COVID persistence (12 months)</td>
<td valign="middle" align="center">Recovered patients</td>
<td valign="middle" align="center">Incomplete recovery: CD39 &#x2191; partial; CD73 remains &#x2193;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The symbols indicate: &#x2193; decreased/downregulated; &#x2191; increased/upregulated; &#x2192; leads to/results in; &#x2194; bidirectional relationship/mutual association (context-dependent).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</body>
<back>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>LG-R: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RL-G: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SC: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CM-G: Writing &#x2013; original draft. AH: Writing &#x2013; original draft, Investigation. IP: Writing &#x2013; review &amp; editing. ML: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s9" 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="s10" 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="s11" sec-type="disclaimer">
<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>
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