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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
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<issn pub-type="epub">2296-861X</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/fnut.2026.1761376</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Systems biology insights into the molecular drivers of childhood stunting and implications for intervention</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dable-Tupas</surname>
<given-names>Genevieve</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>
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<given-names>Richelle D.</given-names>
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<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<surname>Zain</surname>
<given-names>Shamsul Mohd</given-names>
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<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<given-names>Vladimer</given-names>
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<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<name>
<surname>Arefayine</surname>
<given-names>Melkamu Berhane</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Toni</surname>
<given-names>Alemayehu Teklu</given-names>
</name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
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<surname>Nacis</surname>
<given-names>Jacus S.</given-names>
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<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
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<name>
<surname>Gonzales</surname>
<given-names>Gerard Bryan</given-names>
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<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="aff10"><sup>10</sup></xref>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Center for Research and Development, Davao Medical School Foundation Inc.</institution>, <city>Davao City</city>, <country country="ph">Philippines</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University</institution>, <city>Ghent</city>, <country country="be">Belgium</country></aff>
<aff id="aff3"><label>3</label><institution>Research and Development Center for Maternal and Child Health (ReDMatCH), Davao Medical School Foundation Inc.</institution>, <city>Davao City</city>, <country country="ph">Philippines</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Cellular and Molecular Biology, Uppsala University</institution>, <city>Uppsala</city>, <country country="se">Sweden</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Pharmacology, Faculty of Medicine, Universiti Malaya</institution>, <city>Kuala Lumpur</city>, <country country="my">Malaysia</country></aff>
<aff id="aff6"><label>6</label><institution>Rotterdam School of Management, Erasmus University PA</institution>, <city>Rotterdam</city>, <country country="nl">Netherlands</country></aff>
<aff id="aff7"><label>7</label><institution>Department of Mathematics, Physics and Computer Science, College of Science and Mathematics, University of the Philippines Mindanao</institution>, <city>Davao City</city>, <country country="ph">Philippines</country></aff>
<aff id="aff8"><label>8</label><institution>Department of Pediatrics and Child Health, Jimma University</institution>, <city>Jimma</city>, <country country="et">Ethiopia</country></aff>
<aff id="aff9"><label>9</label><institution>Department of Pediatrics and Child Health, School of Medicine, College of Medicine and Health Sciences, University of Gondar</institution>, <city>Gondar</city>, <country country="et">Ethiopia</country></aff>
<aff id="aff10"><label>10</label><institution>Human Nutrition and Health, Wageningen University and Research</institution>, <city>Wageningen</city>, <state>KD</state>, <country country="nl">Netherlands</country></aff>
<aff id="aff11"><label>11</label><institution>Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI)</institution>, <city>Taguig</city>, <country country="ph">Philippines</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Genevieve Dable-Tupas, <email xlink:href="mailto:gentupas@dmsf.edu.ph">gentupas@dmsf.edu.ph</email>; Gerard Bryan Gonzales, <email xlink:href="mailto:Bryan.Gonzales@Ugent.be">Bryan.Gonzales@Ugent.be</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1761376</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>28</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Dable-Tupas, Maraon, Bernolo, To&#x00F1;acao, Taylaran, Plata, Alcano, Bj&#x00F6;rvang, Zain, Kobayashi, Arefayine, Toni, Nacis and Gonzales.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Dable-Tupas, Maraon, Bernolo, To&#x00F1;acao, Taylaran, Plata, Alcano, Bj&#x00F6;rvang, Zain, Kobayashi, Arefayine, Toni, Nacis and Gonzales</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">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>Childhood stunting is a condition resulting from chronic malnutrition affecting millions globally, with lasting consequences for growth, cognition, and productivity. This review explores the molecular mechanisms underlying stunting, focusing on evidence obtained from systems biology to uncover biochemical pathways and potential biomarkers for early detection and targeted interventions. Key findings highlight the role of disrupted pathways such as the mechanistic target of rapamycin (mTOR) signaling, the tryptophan-kynurenine pathway, one-carbon metabolism, and chronic inflammation associated with environmental enteric dysfunction and dysbiosis of the gut microbiome. These insights emphasize the multifactorial nature of stunting, influenced by nutrition, infections, socioeconomic and maternal factors. Integrating systems biology to support public health strategies may provide avenues for precision nutrition-driven interventions that address specific deficiencies and systemic biochemical disturbances.</p>
</abstract>
<kwd-group>
<kwd>metabolomics</kwd>
<kwd>microbiome</kwd>
<kwd>mTOR</kwd>
<kwd>nutrition</kwd>
<kwd>stunting</kwd>
<kwd>systems biology</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This narrative review is part of a research project titled, &#x201C;Determinants, Management and Preventive Strategies of Childhood Stunting Among Children 0&#x2013;59&#x202F;Months Focusing on Maternal and Child Dyad&#x201D; that received support from the Department of Science and Technology (DOST) of the Republic of the Philippines as the funding agency, the Philippine Council for Health Research and Development (PCHRD) as the monitoring agency and Davao Medical School Foundation Inc. as the implementing agency.</funding-statement>
</funding-group>
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<ref-count count="186"/>
<page-count count="18"/>
<word-count count="15211"/>
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<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition and Metabolism</meta-value>
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</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Childhood stunting is a condition caused by chronic malnutrition which remains a pressing public health issue particularly in low and middle-income countries. It is clinically defined as a height-for-age z-score (HAZ) of less than &#x2212;2 standard deviation below the global median, as established by the World Health Organization (WHO) (<xref ref-type="bibr" rid="ref1">1</xref>). Stunting often starts with inadequate weight gain, known as weight faltering. If not properly addressed, this can slow down linear growth over time as the body tries to preserve essential functions by prioritizing basic survival over growth. As a result, height suffers, leading to stunting (<xref ref-type="bibr" rid="ref2">2</xref>). Apart from directly affecting growth, the consequences of stunting extend far beyond childhood, leading to impaired cognitive and physical development, decreased productivity in adulthood, poor health, and an increased risk of chronic diseases such as diabetes, hypertension, obesity, and metabolic syndrome (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Over the past three decades, the prevalence of childhood stunting has declined significantly, from 40% in 1990 to 33% (204 million children) in 2000 and further to 22% (148 million) in 2022 (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). This progress is largely attributed to economic growth, poverty alleviation, targeted nutrition programs, improved water, sanitation, and hygiene (WASH) initiatives, and increased investments in early childhood development (<xref ref-type="bibr" rid="ref7 ref8 ref9">7&#x2013;9</xref>). If the downward trend continues, the number of affected children under five is projected to reach 127 million by 2025. However, this figure remains above the World Health Assembly&#x2019;s target of 100 million by 2025 (<xref ref-type="bibr" rid="ref3">3</xref>) and the goal of reducing global stunting prevalence to 13% by 2030 (<xref ref-type="bibr" rid="ref10">10</xref>). Despite overall progress, disparities persist, with nearly 95% of stunted children in 2022 living in Asia (52%) and Africa (43%) (<xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>The global community continues to prioritize stunting reduction, as demonstrated by the World Health Assembly&#x2019;s nutrition targets and the inclusion of stunting prevention in the Sustainable Development Goals (SDGs) (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). However, progress remains uneven, particularly in low and lower-middle-income countries, where stunting rates remain high at 31% in Africa (<xref ref-type="bibr" rid="ref14">14</xref>) and between 28 and 45% in South Asia (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>To fully achieve global nutrition targets, sustained and intensified efforts are essential. While research has primarily focused on nutrition and socioeconomic determinants, molecular-level insights into stunting remain limited. A better understanding of the molecular mechanisms underlying stunting could pave the way for innovative interventions to reduce its prevalence and long-term consequences. This review aims to examine and synthesize the determinants of stunting in children under 5&#x202F;years old, especially on the molecular perspectives derived from systems biology research.</p>
<sec sec-type="methods" id="sec2">
<title>Methodology</title>
<p>This review provides a comprehensive synthesis of contemporary literature examining the molecular and metabolic mechanisms underlying childhood stunting, with particular emphasis on systems biology&#x2013;derived insights. The scope of the review encompasses key biological pathways implicated in growth faltering, including nutrient-sensing signaling (e.g., mTOR), amino acid metabolism, the tryptophan&#x2013;kynurenine pathway, one-carbon metabolism, inflammation, and their interactions with maternal, environmental, and nutritional factors influencing linear growth and long-term health outcomes.</p>
<p>To ensure consistency and transparency, a structured literature search approach was applied across multiple databases, including PubMed, Scopus, Web of Science, and Google Scholar. For PubMed, Scopus, and Web of Science, search strategies employed combinations of keywords and Boolean operators such as &#x201C;childhood stunting,&#x201D; &#x201C;linear growth faltering,&#x201D; &#x201C;systems biology,&#x201D; &#x201C;metabolomics,&#x201D; &#x201C;mTOR signaling,&#x201D; &#x201C;tryptophan-kynurenine pathway,&#x201D; &#x201C;one-carbon metabolism,&#x201D; &#x201C;amino acid deficiency,&#x201D; &#x201C;inflammation,&#x201D; and &#x201C;environmental enteric dysfunction.&#x201D; Titles, abstracts, and keywords were initially screened for relevance, followed by full-text review of articles deemed pertinent to the objectives of this review.</p>
<p>For Google Scholar, the same search terms were used; however, due to limited filtering capabilities, search results were manually screened based on relevance, study quality, and publication date. Priority was given to peer-reviewed human studies, including observational studies, cohort studies, clinical trials, and relevant narrative or systematic reviews, with particular focus on children under 5&#x202F;years of age and maternal&#x2013;child dyads.</p>
<p>The literature included in this review primarily spans publications from 2000 to 2025, with earlier seminal studies incorporated where necessary to provide historical or mechanistic context. Collectively, this approach enabled a balanced and integrative evaluation of current evidence linking molecular dysregulation to childhood stunting, while acknowledging the predominantly associative nature of much of the existing data.</p>
<sec id="sec3">
<title>Contributors and consequences to stunting</title>
<p>Stunting is caused by a complex interaction of biological, socioeconomic, and environmental factors, with maternal health playing a key role. Teenage pregnancy and maternal malnutrition are linked to low birth weight and intrauterine growth restriction (IUGR), which significantly increase the risk of stunting in early childhood (<xref ref-type="bibr" rid="ref15 ref16 ref17 ref18">15&#x2013;18</xref>). Male children are biologically more susceptible due to greater energy needs and weaker immune systems (<xref ref-type="bibr" rid="ref19 ref20 ref21">19&#x2013;21</xref>). Children born small for gestational age also face higher risks of infections and poor catch-up growth (<xref ref-type="bibr" rid="ref22 ref23 ref24">22&#x2013;24</xref>).</p>
<p>Furthermore, socioeconomic factors like low parental education limits knowledge of appropriate nutrition, childcare practices, and timely healthcare utilization (<xref ref-type="bibr" rid="ref25">25</xref>). Inadequate infant feeding practices such as delayed breastfeeding initiation, lack of exclusive breastfeeding, and poor-quality complementary feeding further contribute to growth faltering by increasing infection risk and failing to meet children&#x2019;s energy and micronutrient requirements (<xref ref-type="bibr" rid="ref26">26</xref>). Consequently, deficiencies in essential micronutrients and amino acids during critical periods, particularly the first 1,000&#x202F;days of life, impair growth, immune function, and cognitive development (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). Additionally, environmental exposures, including poor water quality, pollutants, and recurrent infections, also impair nutrient absorption and increase vulnerability to stunting (<xref ref-type="bibr" rid="ref29 ref30 ref31">29&#x2013;31</xref>).</p>
<p>The consequences of stunting are long-lasting and multifaceted, affecting cognitive, educational, economic, and health outcomes. Several studies revealed that stunted children exhibit delays in brain development, learning, and academic achievement, making them 22% more likely not to complete secondary education (<xref ref-type="bibr" rid="ref32 ref33 ref34">32&#x2013;34</xref>). These developmental setbacks reduce employment opportunities and income, with stunted adults earning on average 20% less than their non-stunted peers (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). Families of stunted children also face increased healthcare costs and economic strain (<xref ref-type="bibr" rid="ref4">4</xref>). On a societal level, stunting diminishes national productivity and economic growth (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). Health-wise, early nutritional deficits alter organ development and metabolic programming, predisposing stunted individuals to chronic diseases such as diabetes, obesity, and hypertension later in life (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref40">40</xref>).</p>
</sec>
<sec id="sec4">
<title>Interventions against stunting</title>
<p>Several studies have explored interventions aimed at reducing childhood stunting with varying results. For instance, interventions such as specialized foods, cash transfers, and behavioral change have shown some level of success in certain regions (<xref ref-type="bibr" rid="ref41">41</xref>), however these approaches are inconsistent and often fail to address the underlying biological processes that result in stunting. Moreover, traditional methods like micronutrient supplementation alone (<xref ref-type="bibr" rid="ref42">42</xref>) have not consistently yielded the desired outcomes, and food-based interventions have been limited to improving linear growth without addressing other key outcomes like wasting and poor weight gain (<xref ref-type="bibr" rid="ref43">43</xref>). Even decades of implementing both nutrition-sensitive and nutrition-specific interventions among rural Gambian children which reduced undernutrition into half, a significant portion (30%) of growth faltering still persists (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>).</p>
<p>Furthermore, a systematic review from Ethiopia revealed that two-thirds of the interventions had no measurable effect on stunting (<xref ref-type="bibr" rid="ref46">46</xref>). These inconsistencies highlight a gap in our understanding of the multifactorial and complex nature of stunting, which is influenced by a combination of factors such as nutritional deficiencies, recurrent infections, socioeconomic conditions, and maternal health. The persistence of stunting despite interventions points to the need for a deeper exploration of these interconnected factors and their contribution to its etiology.</p>
<p>To address these limitations, there is a need to improve understanding in the pathophysiologic mechanisms of stunting. Advanced techniques such as omics technologies offer the potential to identify molecular markers that signal underlying malnutrition, inflammation, or other disruptions in growth pathways.</p>
</sec>
<sec id="sec5">
<title>Emergence of systems biology in understanding childhood stunting</title>
<p>Traditional approaches to studying stunting have focused on individual factors such as malnutrition, infections, and socioeconomic conditions. However, these often fail to capture the complex, multifactorial nature of the condition. The emergence of systems biology has provided a transformative approach, integrating multiple biological, environmental, and social determinants to offer a more holistic understanding of the pathophysiology of stunting.</p>
<p>Systems biology is an interdisciplinary field that employs computational and mathematical modeling to analyze biological systems as a whole, rather than in isolated parts (<xref ref-type="bibr" rid="ref47">47</xref>). In the context of childhood stunting, this approach allows researchers to examine how various factors including genetics, microbiome composition, immune responses, metabolic pathways, and environmental influences, interact to contribute to impaired growth (<xref ref-type="bibr" rid="ref48">48</xref>). High-throughput omics technologies such as genomics, transcriptomics, proteomics, and metabolomics help to uncover novel biomarkers and mechanistic pathways that underlie stunting (<xref ref-type="bibr" rid="ref49">49</xref>).</p>
<p>In particular, metabolomics plays a crucial role in systems biology by providing a comprehensive understanding of metabolic perturbations and their connections to genetic, environmental, and pathological factors. Utilizing advanced analytical tools like mass spectrometry and nuclear magnetic resonance, metabolomics enables precise metabolite profiling, bridging genotype and phenotype to decode complex biochemical networks (<xref ref-type="bibr" rid="ref50">50</xref>). Its integration with other omics fields, such as genomics and proteomics, enhances our ability to study metabolism in diverse contexts, including nutrition and disease. Through these applications, metabolomics strengthens systems biology by offering dynamic insights into metabolic regulation and health outcomes (<xref ref-type="bibr" rid="ref51">51</xref>).</p>
<p>Furthermore, systems biology has facilitated the development of predictive models and personalized interventions for childhood stunting. By integrating large datasets from diverse populations, machine learning algorithms can identify risk factors and predict stunting trajectories based on early-life exposures (<xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref53">53</xref>). This predictive capability enables targeted nutritional and therapeutic interventions, optimizing outcomes for at-risk children. Additionally, systems-based interventions, such as microbiome-targeted therapies (e.g., probiotics, prebiotics, and microbiota-directed complementary foods), are being explored as potential strategies to mitigate the impact of stunting (<xref ref-type="bibr" rid="ref54">54</xref>).</p>
<p>Systems biology has deepened our understanding of childhood stunting by moving beyond single-factor explanations to a more integrative framework that considers the complex interplay between genetic, microbial, immune, and metabolic factors, albeit many gaps in our knowledge exist especially in translating these findings into effective and scalable interventions.</p>
</sec>
</sec>
</sec>
<sec id="sec6">
<title>Major pathophysiologic mechanisms and biomarkers implicated in stunting</title>
<sec id="sec7">
<title>Perturbation in the mechanistic target of rapamycin complex (mTORC) pathway</title>
<p>The mTOR pathway is a central regulator of cell growth and metabolism, integrating signals from nutrients, energy status, and growth factors. It comprises two complexes: mTORC1 and mTORC2. mTORC1 is sensitive to nutrient levels, especially amino acids, and regulates protein and lipid synthesis, while mTORC2 governs cytoskeletal organization and survival (<xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref56">56</xref>).</p>
<p>Amino acids, particularly leucine, are key activators of mTORC1, promoting protein synthesis by phosphorylating downstream targets such as S6K1 and 4E-BP1 (<xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>). Other amino acids like glutamine, arginine, and tryptophan also modulate mTORC1 signaling (<xref ref-type="bibr" rid="ref59">59</xref>, <xref ref-type="bibr" rid="ref60">60</xref>). Disruptions in this signaling cascade have been linked to stunting. Studies in Malawi, Indonesia, and Bangladesh have consistently shown that stunted children have lower circulating levels of essential (e.g., leucine, histidine, methionine) and conditionally essential amino acids (e.g., arginine, glutamine), along with altered lipid metabolites (<xref ref-type="bibr" rid="ref61 ref62 ref63">61&#x2013;63</xref>). This amino acid deficiency likely impairs mTORC1 activity, thereby limiting protein synthesis and growth. In low nutrient conditions, mTORC1 becomes inactive, triggering autophagy to recycle cellular components for survival (<xref ref-type="bibr" rid="ref64">64</xref>, <xref ref-type="bibr" rid="ref65">65</xref>). However, even with sufficient energy and growth factors, mTORC1 cannot function effectively without adequate amino acids (<xref ref-type="bibr" rid="ref66">66</xref>).</p>
<p>Growth factors such as insulin growth factor 1 (IGF-1) and leptin further modulate mTORC1 through the PI3K/Akt pathway. IGF-1 deficiency has been correlated with stunting in several studies from Bangladesh, Malawi, and Burkina Faso, suggesting long-term endocrine alterations due to early malnutrition (<xref ref-type="bibr" rid="ref67 ref68 ref69">67&#x2013;69</xref>). Another critical hormone, fibroblast growth factor 21 (FGF21), modulates the AMPK-sirtuin-mTOR axis and responds to protein restriction. High baseline FGF21 levels in Bangladeshi children were predictive of better growth outcomes following nutritional supplementation, highlighting its potential as a biomarker for intervention responsiveness (<xref ref-type="bibr" rid="ref70">70</xref>).</p>
<p>Energy status also plays a critical role in mTORC1 regulation. AMP-activated protein kinase (AMPK), a key energy sensor, inhibits mTORC1 during energy scarcity to conserve resources. Dietary studies in Egypt, Indonesia, and the Philippines reveal that stunted children often consume insufficient energy and protein, which may contribute to mTORC1 suppression (<xref ref-type="bibr" rid="ref71 ref72 ref73">71&#x2013;73</xref>).</p>
<p>mTORC2, while less well-characterized, also contributes to growth regulation. It is activated by insulin, IGF-1, and leptin via PI3K signaling and plays a role in cytoskeletal dynamics and lipid metabolism (<xref ref-type="bibr" rid="ref74">74</xref>, <xref ref-type="bibr" rid="ref75">75</xref>). mTORC2 indirectly enhances mTORC1 activity via Akt-mediated phosphorylation of tuberous sclerosis complex 2 (TSC2) and other downstream targets like PI3KC2-<italic>&#x03B2;</italic> (<xref ref-type="bibr" rid="ref76">76</xref>, <xref ref-type="bibr" rid="ref77">77</xref>). Thus, inhibition of mTORC2 can secondarily impair mTORC1, compounding growth deficits (<xref ref-type="bibr" rid="ref78">78</xref>). These mechanisms are depicted in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Disruption of mTOR signaling pathways in childhood stunting. <bold>(A)</bold> Reduced availability of amino acids, growth factors, and energy suppresses mTORC1 activity, impairing protein and lipid synthesis and linear growth. <bold>(B)</bold> Reduced hormonal signaling inhibits mTORC2 and secondarily impairs mTORC1 further exacerbating growth deficits. mTOR, Mechanistic Target of Rapamycin; mTORC1, Mechanistic Target of Rapamycin Complex 1; mTORC2, Mechanistic Target of Rapamycin Complex 2; IGF-1, Insulin Growth Factor-1; mLST8, Mammalian Lethal with SEC13 Protein 8; PRAS40, Proline-Rich AKT Substrate of 40&#x202F;kDa; mammalian stress-activated protein kinase-interacting protein. Created in BioRender. Crd, D. (2026), <ext-link xlink:href="https://BioRender.com/tbh609p" ext-link-type="uri">https://BioRender.com/tbh609p</ext-link>.</p>
</caption>
<graphic xlink:href="fnut-13-1761376-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram comparing mTORC1 and mTORC2 complex inactivation under low energy, growth factors, amino acid availability, or hormones. Inactive mTORC1 inhibits protein and lipid synthesis and promotes autophagy, while inactive mTORC2 suppresses cell survival and cytoskeletal organization.</alt-text>
</graphic>
</fig>
<p>Overall, disruptions in the mTOR pathway whether due to amino acid deficiency, energy deprivation, or hormonal imbalance contribute significantly to the pathophysiology of stunting (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Targeting these molecular mechanisms may enhance the efficacy of nutritional and clinical interventions aimed at improving growth outcomes in undernourished children.</p>
<p>Studies supporting the mTOR pathway disruption are summarized in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Summary of the relevant studies supporting the dysregulation of the mTOR pathway leading to growth faltering changes in childhood stunting.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Population</th>
<th align="left" valign="top">Type of study (Method)</th>
<th align="left" valign="top">Biomarkers/key findings</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">0&#x2013;35&#x202F;months admitted malnourished children in Burkina Faso (<italic>n</italic>&#x202F;=&#x202F;59)</td>
<td align="left" valign="top">Cohort study (IGF-1 Assay from dried blood spots)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>IGF-1 levels from capillary blood samples significantly increased after nutritional rehabilitation and correlated with weight-for-height Z-score changes.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Kouanda et al., 2009 (<xref ref-type="bibr" rid="ref69">69</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children in rural southern Malawi aged 12&#x2013;59&#x202F;months (<italic>n</italic>&#x202F;=&#x202F;313)</td>
<td align="left" valign="top">Cross-sectional Targeted (Metabolomics and Lipidomics)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Stunted children in rural Malawi had low serum levels of essential amino acid and sphingolipids compared with non-stunted children.</p>
</list-item>
<list-item>
<p>Children with a high risk of stunting may not be receiving an adequate dietary intake of essential amino acids and choline.</p>
</list-item>
<list-item>
<p>Stunted children had lower serum sphingomyelins</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Semba et al., 2016 (<xref ref-type="bibr" rid="ref61">61</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children from different countries (Malawi, Bangladesh, and Sweden; <italic>n</italic>&#x202F;=&#x202F;50; 25 stunted &#x0026; 25 normal children)</td>
<td align="left" valign="top">Genome-scale metabolic profiling</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Stunted children had reduced plasma levels of essential amino acids as well as lower ratio of tryptophan to other neutral amino acids compared to the healthy group</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Kumar et al., 2018 (<xref ref-type="bibr" rid="ref63">63</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">6&#x2013;13&#x202F;months underweight children in Dhaka, Bangladesh (<italic>n</italic>&#x202F;=&#x202F;120)</td>
<td align="left" valign="top">Prospective cohort study (ELISA)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Plasma FGF21 levels showed a negative association with changes in WAZ and LAZ. However, underweight children with initially high FGF21 levels, had higher WAZ and LAZ, suggesting better response to nutritional supplementation.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Arndt et al., 2019 (<xref ref-type="bibr" rid="ref70">70</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children treated for severe acute malnutrition (SAM; <italic>n</italic>&#x202F;=&#x202F;352)</td>
<td align="left" valign="top">Cohort study (Tandem mass spectrometry, NMR and ELISA)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Stunted children with SAM showed low plasma IGF-1 levels</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Bourdon et al., 2019 (<xref ref-type="bibr" rid="ref68">68</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children in the slums of Bangladesh aged between 12 and 18&#x202F;months (<italic>n</italic>&#x202F;=&#x202F;100; 50 stunted &#x0026; 50 normal children)</td>
<td align="left" valign="top">Quasi-experimental study (ELISA)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Serum leptin, leptin&#x2013;adiponectin ratio, IGF-1, and IFN-&#x03B3; were independently associated with stunting in Bangladeshi children under the age of two.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Hossain et al., 2019 (<xref ref-type="bibr" rid="ref67">67</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Indonesian children aged 25&#x2013;30&#x202F;months (<italic>n</italic>&#x202F;=&#x202F;121; 36 stunted &#x0026; 85 normal)</td>
<td align="left" valign="top">Case&#x2013;control study</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>A significantly higher percentage of stunted children (30.6%) had protein intake below the recommended level compared to normal children (8.2%)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Fikawati et al., 2021 (<xref ref-type="bibr" rid="ref72">72</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Indonesian children aged to 24&#x2013;59&#x202F;months (<italic>n</italic>&#x202F;=&#x202F;80; 23 stunted &#x0026; 57 normal children)</td>
<td align="left" valign="top">Descriptive, Case&#x2013;control study</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Stunted children may not receive sufficient dietary intake of EAAs in their diet.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Rizky &#x0026; Sutjiati, 2021 (<xref ref-type="bibr" rid="ref62">62</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Preschool children (2-5yo) in rural Egypt (<italic>n</italic>&#x202F;=&#x202F;497)</td>
<td align="left" valign="top">Community-based cross-sectional study</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Stunted children consumed poultry, eggs, and fruits significantly less frequently than their non-stunted counterparts.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Mahfouz et al., 2022 (<xref ref-type="bibr" rid="ref71">71</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">5&#x2013;10-yr-old school-age Filipino children (<italic>n</italic>&#x202F;=&#x202F;26,332)</td>
<td align="left" valign="top">Retrospective study</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Stunted school-age children had significantly lower intake of energy, protein, and key micronutrients, including vitamin A, vitamin C, thiamin, niacin, riboflavin, iron, and calcium, compared to their non-stunted peers</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Arias et al., 2024 (<xref ref-type="bibr" rid="ref73">73</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>mTOR, Mechanistic target of rapamycin; EAA, Essential amino acids; IGF-1, Insulin growth factor-1; IFN-&#x03B3;, Interferon gamma; ELISA, Enzyme linked immunoassay; WAZ, Weight for age z-score; LAZ, Length for age z-score; FGF21, Fibroblast growth factor 21.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec8">
<title>Tryptophan-kynurenine pathway dysregulation</title>
<p>The relationship between the tryptophan-kynurenine pathway (TKP) and childhood stunting is complex and influenced by chronic inflammation, nutritional deficiencies, and metabolic alterations. Tryptophan is an essential amino acid which plays a significant role in protein synthesis and serves as a precursor of two main pathways: the serotonin pathway and the kynurenine pathway. Under normal physiological conditions, most dietary tryptophan (over 90%) is metabolized via the kynurenine pathway, while only about 1% is used for serotonin synthesis, which serves a critical role in cellular function. The rest of the unmetabolized tryptophan is used for protein synthesis in tissues like muscles. This metabolic balance is generally maintained unless disrupted by inflammation or stress, which can shift tryptophan metabolism away from serotonin and protein production, leading to physiological and neurological consequences (<xref ref-type="bibr" rid="ref79 ref80 ref81">79&#x2013;81</xref>).</p>
<p>In the serotonin pathway, tryptophan is first hydroxylated by tryptophan hydroxylase-1 (TPH-1), the rate-limiting enzyme in serotonin biosynthesis, producing 5-hydroxytryptophan (5-HTP), which is then converted into serotonin (<xref ref-type="bibr" rid="ref79">79</xref>, <xref ref-type="bibr" rid="ref82">82</xref>). Additionally, the availability of amino acids, including tryptophan, activates the mTORC1 pathway, a growth regulator that promotes protein synthesis which is essential for child growth (<xref ref-type="bibr" rid="ref83">83</xref>). However, chronic inflammation can significantly alter this process by upregulating the kynurenine pathway, diverting tryptophan metabolism toward kynurenine synthesis. This shift is driven by increased activity of indoleamine 2,3-dioxygenase 1 (IDO1), the key enzyme in the kynurenine pathway, whose expression is elevated in inflammatory conditions (<xref ref-type="bibr" rid="ref79">79</xref>, <xref ref-type="bibr" rid="ref84">84</xref>, <xref ref-type="bibr" rid="ref85">85</xref>). In addition, tryptophan 2,3-dioxygenase (TDO), a liver-specific enzyme, also catalyzes the first step of tryptophan degradation under homeostatic conditions and in response to glucocorticoids and tryptophan levels, further regulating systemic tryptophan availability and influencing the balance between serotonin and kynurenine pathway metabolism (<xref ref-type="bibr" rid="ref86">86</xref>).</p>
<p>In the context of childhood stunting, chronic inflammation commonly associated with environmental enteric dysfunction, elevates pro-inflammatory cytokines such as Tumor Necrosis Factor-<italic>&#x03B1;</italic> (TNF-&#x03B1;), Interferon-<italic>&#x03B3;</italic> (IFN-&#x03B3;), and Nuclear Factor kappa-B (NF-&#x03BA;B). These inflammatory signals activate IDO1, increasing the conversion of tryptophan to kynurenine and its downstream metabolites, thereby reducing tryptophan availability for serotonin synthesis and protein production (<xref ref-type="bibr" rid="ref86 ref87 ref88">86&#x2013;88</xref>). This metabolic shift contributes to abnormally low serotonin and protein levels, impairing both linear growth and cognitive development (<xref ref-type="fig" rid="fig2">Figure 2</xref>) (<xref ref-type="bibr" rid="ref85">85</xref>, <xref ref-type="bibr" rid="ref87">87</xref>). Gazi et al. (<xref ref-type="bibr" rid="ref83">83</xref>) reported that elevated kynurenine-to-tryptophan (K/T) ratios indicating increased tryptophan catabolism, are negatively associated with linear growth. Chronic inflammation not only accelerates catabolism in kynurenine pathway but divert tryptophan away from serotonin and protein production leading to a metabolic imbalance which contributes to muscle wasting and weight loss and far-reaching consequences on cognitive development and growth (<xref ref-type="bibr" rid="ref87">87</xref>, <xref ref-type="bibr" rid="ref89">89</xref>, <xref ref-type="bibr" rid="ref90">90</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Tryptophan-kynurenine pathway dysregulation resulting in impaired growth and neurodevelopment. Systemic and intestinal inflammation increase pro-inflammatory cytokine levels (TNF-<italic>&#x03B1;</italic>, IFN-<italic>&#x03B3;</italic>, and NF-&#x03BA;B), which activate IDO1, diverting tryptophan toward the kynurenine pathway and its metabolites. This metabolic shift (dotted arrow) reduces tryptophan availability, leading to decreased serotonin production and contributing to impaired growth and cognitive development. TNF-&#x03B1;, Tumor Necrosis Factor-&#x03B1;; IFN-&#x03B3;, Interferon-&#x03B3;; NF-&#x03BA;B, Nuclear Factor kappa-B; IDO, indoleamine 2,3-dioxygenase; KMO, Kynurenine 3-monooxygenase; KAT I, Kynurenine aminotransferase I; KAT II, Kynurenine aminotransferase II; KAT III, Kynurenine aminotransferase III; KYNU, Kynureninase; TPH, Tryptophan hydroxylase. Created in BioRender. Crd, D. (2026), <ext-link xlink:href="https://BioRender.com/i15r554" ext-link-type="uri">https://BioRender.com/i15r554</ext-link>.</p>
</caption>
<graphic xlink:href="fnut-13-1761376-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram comparing the kynurenine and serotonin pathways of tryptophan metabolism. The kynurenine pathway, depicted on the left in red, is overactivated by inflammation, leading to increased kynurenine, neurotoxic quinolinic acid, and neuroprotective kynurenic acid. The serotonin pathway, shown on the right in blue, is depleted due to pathway shift, resulting in decreased serotonin. Disrupted metabolism is linked to impaired growth and development, illustrated by a child and brain icons.</alt-text>
</graphic>
</fig>
<p>Metabolomics studies demonstrated a relationship between altered tryptophan metabolism and childhood stunting. Guerrant et al. (<xref ref-type="bibr" rid="ref91">91</xref>) found that lower plasma tryptophan levels correlate with biomarkers of systemic and intestinal inflammation in Brazilian children, reinforcing the association between tryptophan depletion and growth impairment. Similarly, Kosek et al. (<xref ref-type="bibr" rid="ref90">90</xref>) reported that low plasma tryptophan levels are linked to growth deficits in impoverished children. Their analysis of child cohorts in Peru and Tanzania revealed a direct correlation between plasma tryptophan concentrations and linear growth up to 8&#x202F;months after biomarker assessment. Conversely, increased kynurenine production due to increased IDO1 activity is associated with intestinal injury and inflammation, ultimately leading to poorer growth outcomes.</p>
<p>Dietary intake also plays a crucial role in tryptophan metabolism. In Tanzania, for instance, a maize-based diet has been linked to low tryptophan intake. Even as low as 25% below the required tryptophan intake can reduce the synthesis of proteins leading to symptoms such as anorexia and impaired growth (<xref ref-type="bibr" rid="ref83">83</xref>, <xref ref-type="bibr" rid="ref90">90</xref>). This further stresses the importance of tryptophan as a critical biomarker for growth and nutritional status.</p>
<p>In stunted children, the combination of low tryptophan availability and heightened kynurenine production exacerbates the effects of malnutrition and inflammation, creating a detrimental cycle that impairs growth and development (<xref ref-type="fig" rid="fig2">Figure 2</xref>) (<xref ref-type="bibr" rid="ref61">61</xref>).</p>
<p>Additionally, kynurenine and its derivatives exhibit complex immunomodulatory effects, influencing immune responses by promoting T-cell apoptosis and inhibiting T-cell proliferation. These immunosuppressive effects can exacerbate the impact of infections prevalent in stunted populations, creating a vicious cycle where chronic inflammation increases tryptophan catabolism, further compromising immune function and nutrient absorption, ultimately resulting in stunted growth (<xref ref-type="bibr" rid="ref83">83</xref>, <xref ref-type="bibr" rid="ref92">92</xref>, <xref ref-type="bibr" rid="ref93">93</xref>).</p>
<p>It should be noted, however, that in the Sanitation Hygiene Infant Nutrition Efficacy (SHINE) trial conducted in Zimbabwe, the K/T ratio was significantly associated with stunting only at 12&#x202F;months of age, introducing some inconsistency across studies (<xref ref-type="bibr" rid="ref94">94</xref>). Nevertheless, the majority of evidence supports a strong association between dysregulation of the TKP and childhood stunting, with elevated kynurenine levels proposed as potential biomarkers of growth impairment. A summary of the relevant studies and their key findings is presented in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Summary of the relevant studies supporting the impairment of the tryptophan-kynurenine pathway among children.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Population</th>
<th align="left" valign="top">Type of study (Method)</th>
<th align="left" valign="top">Biomarkers/key findings</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Malnourished and Normal Children from Brazil aged 6&#x2013;26&#x202F;months (<italic>n</italic>&#x202F;=&#x202F;375)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Case&#x2013;control (Targeted Metabolomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lower plasma tryptophan levels correlate with biomarkers of intestinal and systemic inflammation.</p>
</list-item>
<list-item>
<p>Tryptophan depletion is linked to compromised growth.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Guerrant et al., 2016 (<xref ref-type="bibr" rid="ref91">91</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Newborns less than 17&#x202F;days of age in rural Peru and Tanzania who were &#x003E;1,500&#x202F;g at birth (<italic>n</italic> =&#x202F;494)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cohort (Targeted Metabolomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Plasma tryptophan concentrations are inversely associated with the development of statural growth deficits in children.</p>
</list-item>
<list-item>
<p>Elevated plasma K/T ratios are negatively associated with linear growth.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Kosek et al., 2016 (<xref ref-type="bibr" rid="ref90">90</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children aged 12&#x2013;59&#x202F;months from rural Malawi (<italic>n</italic> =&#x202F;313)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cross-sectional (Targeted metabolomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Children with stunting had lower serum concentrations of tryptophan.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Semba et al., 2016 (<xref ref-type="bibr" rid="ref61">61</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Bangladeshi children aged between 12 and 18&#x202F;months who are stunted or at risk of stunting (<italic>n</italic>&#x202F;=&#x202F;480)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Community based interventional study (Targeted Metabolomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>High kynurenine levels are linked to poor cognitive and linear growth</p>
</list-item>
<list-item>
<p>High plasma K/T ratio was found to be significantly and negatively associated with linear growth.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Gazi et al., 2020 (<xref ref-type="bibr" rid="ref83">83</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">SHINE Trial in Zimbabwe Mother-infant dyad (<italic>n</italic> =&#x202F;1,169 infants)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cluster randomized trial (UHPLC&#x2013;MS/MS)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>An elevated K/T ratio at 12&#x202F;months was associated with a decrease in mean LAZ velocity.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Mutasa et al., 2021 (<xref ref-type="bibr" rid="ref94">94</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>K/T, Kynurenine-to-tryptophan; LAZ, Length for age z-score; SHINE, Sanitation Hygiene Infant Nutrition Efficacy; UHPLC&#x2013;MS/MS, Ultra-high-performance liquid chromatography&#x2013;tandem mass spectrometry.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec9">
<title>Dysfunction of one-carbon metabolism or methylation pathways</title>
<p>One-carbon metabolism (OCM) plays a vital role in early development by providing one-carbon units necessary for the synthesis of deoxyribonucleic acid (DNA), proteins, and lipids, as well as for epigenetic modifications that regulate gene expression (<xref ref-type="bibr" rid="ref95">95</xref>). This interconnected network, which includes the folate and methionine cycles, acts as an integrator of nutrient status and relies on essential nutrients such as B vitamins, amino acids, choline, betaine, and methionine for proper function (<xref ref-type="bibr" rid="ref96">96</xref>, <xref ref-type="bibr" rid="ref97">97</xref>). These nutrients drive critical biochemical reactions that support DNA replication, repair, and methylation (<xref ref-type="bibr" rid="ref98">98</xref>, <xref ref-type="bibr" rid="ref99">99</xref>). Functional biomarkers like S-adenosylmethionine (S-AM) and homocysteine further reflect OCM&#x2019;s role in maintaining cellular health and epigenetic regulation (<xref ref-type="bibr" rid="ref100">100</xref>). Given its significance during pregnancy and childhood, impairments in OCM have been closely linked to stunting and malnutrition (<xref ref-type="fig" rid="fig3">Figure 3</xref>) (<xref ref-type="bibr" rid="ref101">101</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Dysfunction of one-carbon metabolism leads to inflammation, cellular damage, and impaired DNA and RNA synthesis contributing to growth faltering changes. Decrease in folate and/or B vitamins causes dysfunction of one carbon metabolism adversely affecting both folate and methionine cycles leading to increased homocysteine levels and related metabolites resulting in cellular damage and/or inhibition of DNA and RNA synthesis contributing to growth impairment. DNA, Deoxyribonucleic acid; RNA, Ribonucleic acid; DHF, Dihydrofolate; THF, Tetrahydrofolate; SHMT, Serine hydroxymethyltransferase; MTHFR, Methylenetetrahydrofolate reductase; B2, Riboflavin (vitamin B<sub>2</sub>); 5-MTHF, 5-Methyltetrahydrofolate; MTR, Methionine synthase; DMG, Dimethylglycine; S-AM, S-Adenosylmethionine; SAH, S-Adenosylhomocysteine. Created in BioRender. Crd, D. (2026), <ext-link xlink:href="https://BioRender.com/s65j5t4" ext-link-type="uri">https://BioRender.com/s65j5t4</ext-link>.</p>
</caption>
<graphic xlink:href="fnut-13-1761376-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Metabolic pathway diagram comparing the folate cycle and methionine cycle, showing dietary inputs, enzymes, intermediates, methyl donors, and outcomes like inflammation and cellular damage from elevated homocysteine and metabolic stress. Color-coded legend indicates dietary components, enzymes, unmethylated forms, and methyl donors. Pathways highlight consequences such as impaired DNA and RNA synthesis and oxidative stress.</alt-text>
</graphic>
</fig>
<p>The role of OCM in childhood malnutrition and growth impairment is increasingly evident, as deficiencies in key nutrients disrupt methylation processes critical for gene regulation and cellular function (<xref ref-type="bibr" rid="ref102">102</xref>). Studies have shown that children with edematous severe acute malnutrition, such as kwashiorkor, exhibit widespread DNA hypomethylation compared to those with non-edematous Severe Acute Malnutrition (SAM), likely due to low methionine levels and reduced methylation capacity&#x2014;changes that are reversible with nutritional rehabilitation (<xref ref-type="bibr" rid="ref103">103</xref>). In Malawian children with kwashiorkor, significantly lower serum levels of methionine, homocysteine, and related metabolites further support the link between OCM dysfunction and redox (<xref ref-type="bibr" rid="ref101">101</xref>).</p>
<p>Epigenetic alterations such as elevated histone H3 lysine 9 trimethylation have also been observed in stunted children and are associated with suppressed immune gene expression and impaired linear growth from birth to 1&#x202F;year (<xref ref-type="bibr" rid="ref104">104</xref>). Notably, these molecular changes were detected prior to the clinical manifestation of stunting, highlighting their potential as early biomarkers of growth faltering.</p>
<p>Maternal deficiencies in one-carbon nutrients such as folate, vitamin B6, and B12 are linked to elevated homocysteine levels and adverse pregnancy outcomes, including fetal growth restriction, low birth weight, and preterm birth (<xref ref-type="bibr" rid="ref105">105</xref>, <xref ref-type="bibr" rid="ref106">106</xref>). Adequate intake of these nutrients is crucial for regulating homocysteine metabolism and supporting healthy fetal development. A study among Chinese pregnant women revealed significant imbalances in OCM biomarkers during mid-to-late pregnancy, including low levels of folate and B vitamins and elevated total homocysteine. Elevated homocysteine was inversely associated with red blood cell folate and vitamin B6 levels, while plasma S-AM showed a positive relationship with serum betaine and a negative one with vitamin B6 (<xref ref-type="bibr" rid="ref97">97</xref>). These findings emphasize the critical need to ensure sufficient one-carbon nutrient levels during pregnancy for optimal maternal and fetal health.</p>
<p>Stunted children have shown reduced levels of choline-derived metabolites such as betaine and dimethylglycine (DMG), which are vital for growth-related processes like cell proliferation and gene regulation (<xref ref-type="bibr" rid="ref107 ref108 ref109 ref110">107&#x2013;110</xref>). Studies in Malawian children found significantly lower serum choline and phosphatidylcholine levels among those who were stunted, alongside higher betaine-to-choline and trimethylamine N-oxide (TMAO)-to-choline ratios&#x2014;patterns associated with impaired growth (<xref ref-type="bibr" rid="ref61">61</xref>, <xref ref-type="bibr" rid="ref111">111</xref>). In Brazilian children, urinary excretion of choline and DMG was positively linked to better growth outcomes (<xref ref-type="bibr" rid="ref112">112</xref>). Furthermore, a longitudinal lipidomics study of a birth cohort in Gambia identified serum polyunsaturated fatty acids (PUFAs) and phosphatidylcholines as reliable predictors of future growth, highlighting their importance in early-life dietary interventions (<xref ref-type="bibr" rid="ref113">113</xref>).</p>
<p>Interventions targeting PUFAs and choline, particularly through egg consumption, have shown mixed results in reducing childhood stunting. The 2014 Lulun Project demonstrated that consuming one egg daily for 6&#x202F;months during early complementary feeding reduced stunting by 47% and increased linear growth by 0.63 length-for-age Z-score (LAZ). This intervention significantly elevated plasma levels of choline, betaine, methionine, TMAO, dimethylamine (DMA), and docosahexaenoic acid (DHA), which are key components in metabolic and growth-related processes (<xref ref-type="bibr" rid="ref114">114</xref>).</p>
<p>However, a follow-up study, Lulun Project II, tracking over 90% of the original cohort, found that the growth benefits were not sustained beyond 2 to 3&#x202F;years of age. HAZ declined more in the egg group than in the control group, indicating greater growth faltering over time. These findings suggest that while egg consumption provides crucial early benefits, longer intervention periods and a more comprehensive approach to stunting prevention are needed (<xref ref-type="bibr" rid="ref115">115</xref>).</p>
<p>Other studies report varying results. In Ethiopia, Omer et al. (<xref ref-type="bibr" rid="ref116">116</xref>) found that a child-owned poultry intervention significantly reduced stunting rates and improved nutritional status in children aged 6&#x2013;18&#x202F;months. However, Stewart et al. (<xref ref-type="bibr" rid="ref117">117</xref>) reported that a six-month egg intervention did not improve linear growth among Malawian children. Similarly, Ricci et al. (<xref ref-type="bibr" rid="ref118">118</xref>) found no significant improvement in linear growth or other health parameters in South African children following a six-month egg intervention.</p>
<p>Despite these inconsistencies, a meta-analysis of seven egg intervention trials concluded that overall, egg consumption was associated with improved height outcomes in children (<xref ref-type="bibr" rid="ref119">119</xref>). These findings highlight the potential role of eggs in child growth but also suggest the need to consider additional dietary and environmental factors for long-term effectiveness (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Summary of studies supporting one-carbon metabolism dysfunction as contributory to growth faltering changes in childhood stunting.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Population</th>
<th align="left" valign="top">Type of study (Method)</th>
<th align="left" valign="top">Biomarkers/key findings</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Children from Cear&#x00E1;, Brazil, 6&#x2013;24&#x202F;months of age (<italic>n</italic>&#x202F;=&#x202F;326)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Case&#x2013;Control [1H nuclear magnetic resonance (NMR) spectroscopy]</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Stunted children excreted lower levels of betaine and DMG in their urine.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Mayneris-Perxachs et al., 2016 (<xref ref-type="bibr" rid="ref108">108</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Malawian Children 12&#x2013;59 months of age (<italic>n</italic>&#x202F;=&#x202F;325)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cross-Sectional (Metabolomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lower serum choline; higher betaine-to-choline and TMAO-to-choline ratios in stunted children</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Semba et al., 2016 (<xref ref-type="bibr" rid="ref111">111</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Lulun Project I: Infants aged 6&#x2013;9 mos in Ecuador (<italic>n</italic>&#x202F;=&#x202F;148)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Randomized controlled trial (Chemilumines-cent competitive immunoassay; Metabolomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>The egg intervention significantly increased plasma choline, betaine, methionine, TMAO, DMA, and DHA.</p>
</list-item>
<list-item>
<p>One egg per day for 6&#x202F;months during early complementary feeding reduced stunting by 47% and increased linear growth by 0.63 length-for-age Z score.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Iannotti et al., 2017 (<xref ref-type="bibr" rid="ref114">114</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children from Malawi and Jamaica between 6 and 59&#x202F;months of age (<italic>n</italic>&#x202F;=&#x202F;309 children)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cohort (Genome-wide DNAmethylation analysis)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Significant DNA hypomethylation at 877 CpG sites (99% hypomethylated) in ESAM compared to NESAM</p>
</list-item>
<list-item>
<p>Low methionine levels and reduced methylation activity contributes to hypomethylation.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Schulze et al., 2019 (<xref ref-type="bibr" rid="ref103">103</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Biological samples from infants in the Peru (<italic>n</italic>&#x202F;=&#x202F;281), Bangladesh (<italic>n</italic>&#x202F;=&#x202F;249), and Tanzania (<italic>n</italic>&#x202F;=&#x202F;249) sites of the MAL-ED birth cohort</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cohort (Nuclear Magnetic Resonance Spectroscopy)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Stunted children in Malawi had lower choline levels compared to their non-stunted peers.</p>
</list-item>
<list-item>
<p>Brazilian children: choline and DMG urinary excretion showed a positive correlation with growth</p>
</list-item>
<list-item>
<p>Betaine highest demand is in the first 6&#x202F;months of life</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Giallourou et al., 2020 (<xref ref-type="bibr" rid="ref112">112</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Lulun Project II: Follow-up study of the Lulun Project I approximately 2-year timeframe (<italic>n</italic>&#x202F;=&#x202F;135)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cohort Study (Metabolomic analysis of blood biomarkers was not carried out)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Over 90% of children successfully completed the Lulun Project&#x2019;s original trial.</p>
</list-item>
<list-item>
<p>The egg intervention&#x2019;s effect was no longer present in children aged 2&#x2013;3&#x202F;years.</p>
</list-item>
<list-item>
<p>Significant declines in HAZ were observed in the egg group compared to the control group.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Iannotti et al., 2020 (<xref ref-type="bibr" rid="ref115">115</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Gambian Children 3&#x202F;months of age up to 2&#x202F;years (<italic>n</italic>&#x202F;=&#x202F;409)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cohort</p>
</list-item>
<list-item>
<p>Longitudinal (five time points; Lipidomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lipid groups with PUFAs and phosphatidylcholines predict future growth outcomes.</p>
</list-item>
<list-item>
<p>Lipids had stronger association to height than weight, suggesting higher nutritional demand for height.</p>
</list-item>
<list-item>
<p>PUFAs and choline are crucial in early dietary interventions to prevent growth faltering in low-income settings.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Gonzales et al., 2021 (<xref ref-type="bibr" rid="ref113">113</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Malawian Children between the ages of 12 and 60&#x202F;months (<italic>n</italic>&#x202F;=&#x202F;422 children)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cross-sectional (Metabolomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Significantly lower serum levels of methionine, homocysteine, cystathionine, cysteine, and asymmetric dimethylarginine in children with kwashiorkor and marasmic-kwashiorkor</p>
</list-item>
</list>
</td>
<td align="left" valign="top">May et al., 2022 (<xref ref-type="bibr" rid="ref101">101</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Southern Ethiopian Children 6&#x2013;18&#x202F;months old (<italic>n</italic>&#x202F;=&#x202F;243)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cluster-randomized community trial (Intestinal helminthiasis examination)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Nutrition-sensitive poultry intervention improved children&#x2019;s nutritional status and gross motor milestone development.</p>
</list-item>
<list-item>
<p>Significant increase in weight-for-age and weight-for-height Z-scores.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Omer et al., 2022 (<xref ref-type="bibr" rid="ref116">116</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">18-week old children, and mothers in Dhaka, Bangladesh (<italic>n</italic>&#x202F;=&#x202F;29; 15 infants &#x0026; 14mothers)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cohort (Epigenetic Profiling)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Globally elevated H3K9me3 levels were associated with poor linear growth between birth and 1&#x202F;year of age.</p>
</list-item>
<list-item>
<p>H3K9me3 changes were detectable before the overt appearance of the stunted phenotype, suggesting potential as early biomarkers.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Kupkova et al., 2023 (<xref ref-type="bibr" rid="ref104">104</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children 6&#x202F;months to 18 years old (<italic>n</italic>&#x202F;=&#x202F;3,575)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Metaanalysis of 7 egg intervention studies</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Participants in the egg intervention groups showed significantly greater increase in height/length and weight compared to those in the control groups.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Larson et al., 2024 (<xref ref-type="bibr" rid="ref119">119</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Pregnant women at 24&#x2013;32 gestational weeks having single pregnancy (<italic>n</italic>&#x202F;=&#x202F;397)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cohort (Metabolomics and Immunoassay)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Imbalance in blood OCM during mid-to-late pregnancy: lower folate, B6, B12, and elevated total homocysteine (tHcy)</p>
</list-item>
<list-item>
<p>Adequate folate and B6 are significant predictors of lower tHcy.</p>
</list-item>
<list-item>
<p>Higher serum tHcy is linked to lower RBC folate and vitamin B6</p>
</list-item>
<list-item>
<p>Higher plasma S-AM is positively associated with serum betaine and negatively with vitamin B6.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Zhang et al., 2024 (<xref ref-type="bibr" rid="ref97">97</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ESAM, Edematous severe acute malnutrition; NESAM, Non edematous severe acute malnutrition; DNA, Deoxynucleic acid; H3K9me3, H3 lysine 9 trimethylation; tHcy, total homocysteine; PUFAs, Polyunsaturated fatty acids; DMG, Dimethylglycine; MAL-ED, Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development; TMAO,Trimethylamine N-oxide; DMA, Dimethylamine; DHA, Docosahexaenoic acid; HAZ, Height for age z-score.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec10">
<title>Chronic inflammatory pathway, environmental enteric dysfunction and the role of the microbiome</title>
<p>Inflammation is a normal immune response to harmful stimuli. However, chronic inflammation disrupts the balance of immune signaling, leading to oxidative stress, tissue damage, and metabolic disturbances that can negatively affect child growth (<xref ref-type="bibr" rid="ref120">120</xref>). Elevated pro-inflammatory cytokines like TNF-<italic>&#x03B1;</italic> and interleukin 6 (IL-6) have been linked to impaired nutrient absorption, hormonal dysregulation, and reduced energy availability. However, findings on TNF-&#x03B1; levels in stunted children vary: Zambruni et al. (<xref ref-type="bibr" rid="ref121">121</xref>) observed elevated TNF-<italic>&#x03B1;</italic> among stunted Peruvian infants, whereas Nuryandari et al. (<xref ref-type="bibr" rid="ref122">122</xref>) and Hossain et al. (<xref ref-type="bibr" rid="ref67">67</xref>) reported lower levels among older stunted children with chronic infections. These discrepancies may reflect differences in age, health status or immune suppression due to severe malnutrition and wasting (<xref ref-type="bibr" rid="ref123">123</xref>). Supporting this, other studies show that TNF-&#x03B1; levels correlate with body mass index (BMI), suggesting that lower TNF-&#x03B1; may be a marker of severe malnutrition and immune dysfunction (<xref ref-type="bibr" rid="ref124 ref125 ref126">124&#x2013;126</xref>).</p>
<p>One potential driver of chronic inflammation and growth impairment is EED, a subclinical condition prevalent in low and middle-income countries. EED arises from repeated exposure to enteric pathogens due to poor sanitation and hygiene and is characterized by chronic intestinal inflammation, villous blunting, crypt hyperplasia, increased intestinal permeability, and impaired nutrient absorption (<xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>EED contributes to growth faltering through multiple, interrelated mechanisms. Recurrent pathogen exposure (e.g., <italic>Escherichia coli</italic> and Shigella) induces sustained production of inflammatory cytokines such as TNF&#x03B1; and IL6, which interfere with growth hormone signaling, suppress IGF-1, and divert energy toward immune responses. TNF &#x03B1;&#x2013;mediated activation of the NF &#x03BA;B pathway further amplifies inflammation and inhibits anabolic processes required for linear growth (<xref ref-type="bibr" rid="ref127">127</xref>). Intestinal damage in EED, such as villous atrophy and crypt hyperplasia, impairs nutrient absorption and increases gut permeability, allowing bacterial products to enter the bloodstream and sustain systemic inflammation. Humphrey (<xref ref-type="bibr" rid="ref128">128</xref>) highlighted how this &#x201C;leaky gut&#x201D; phenomenon triggers an immune response that diverts nutrients and energy away from growth processes, exacerbating stunting. Prendergast et al. (<xref ref-type="bibr" rid="ref129">129</xref>) further demonstrated that chronic inflammation suppresses the IGF-1 axis, leading to hormonal disruptions that impair linear growth. Harper et al. (<xref ref-type="bibr" rid="ref130">130</xref>) observed that children with EED exhibited poor HAZ due to persistent intestinal damage. A recent systematic review demonstrated that all EED domains including intestinal damage and repair, absorption and permeability, microbial translocation, intestinal inflammation, and systemic inflammation are consistently associated with impaired linear growth in children (<xref ref-type="bibr" rid="ref131">131</xref>).</p>
<p>The gut microbiome plays a central role in mediating these effects. Metagenomic studies consistently show that stunted children exhibit an immature and dysbiotic gut microbiome, which compromises nutrient utilization, immune regulation, and metabolic signaling (<xref ref-type="bibr" rid="ref132">132</xref>). This dysbiotic state alters endocrine pathways critical for growth, including the IGF-1 axis (<xref ref-type="bibr" rid="ref133">133</xref>).</p>
<p>Microbiome-derived metabolites further link gut dysfunction to stunting. Short-chain fatty acids (SCFAs), particularly butyrate, support epithelial integrity, modulate immune responses, and provide energy to colonocytes (<xref ref-type="bibr" rid="ref134">134</xref>). Stunted children show reduced abundance of butyrate-producing taxa such as Faecalibacterium, Megasphaera, and Blautia, alongside increased Ruminococcus, a pattern associated with intestinal inflammation and barrier dysfunction (<xref ref-type="bibr" rid="ref135">135</xref>). Data from the Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) cohort indicate that subclinical, non-diarrheal infections with Shigella, enteroaggregative <italic>Escherichia coli</italic>, Campylobacter, and Giardia are associated with larger declines in length-for-age Z-scores than infections caused by other microbes (<xref ref-type="bibr" rid="ref136">136</xref>). Giardia infection has additionally been linked to amino acid deficiencies and elevated phenolic acids, reflecting altered microbial amino acid metabolism (<xref ref-type="bibr" rid="ref137">137</xref>).</p>
<p>Disruption of tryptophan metabolism represents another microbiome-mediated pathway. Gut dysbiosis can shift tryptophan metabolism toward the kynurenine pathway, promoting inflammation and impairing gut barrier function (<xref ref-type="bibr" rid="ref138">138</xref>). Reduced levels of indole-3-propionic acid, a microbiota-derived tryptophan metabolite, have been associated with epithelial damage and intestinal inflammation in EED (<xref ref-type="bibr" rid="ref139">139</xref>).</p>
<p>Bile acid metabolism is also markedly altered in stunted children. Dysbiosis disrupts bile acid composition and enterohepatic circulation, impairing lipid absorption and immune regulation. Reduced duodenal concentrations of secondary bile acids such as deoxycholic and lithocholic acid (<xref ref-type="bibr" rid="ref140 ref141 ref142">140&#x2013;142</xref>), alongside elevated plasma glycine-conjugated bile acids, suggest bile acid malabsorption and contribute to diarrhea, systemic inflammation, and growth impairment (<xref ref-type="bibr" rid="ref143">143</xref>). In addition, microbial fermentation of undigested substrates generates inflammatory products such as lipopolysaccharides, which are elevated in stunted children and further activate immune pathways (<xref ref-type="bibr" rid="ref91">91</xref>, <xref ref-type="bibr" rid="ref144">144</xref>). A summary of these studies is provided in <xref ref-type="table" rid="tab4">Table 4</xref>.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Summary of studies supporting the role of chronic inflammation, environmental enteric dysfunction and the role of the microbiome in growth impairment among children.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Population</th>
<th align="left" valign="top">Type of study (Method)</th>
<th align="left" valign="top">Biomarkers/key findings</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Malnourished and Normal Children from Brazil aged 6&#x2013;26&#x202F;months with 2&#x2013;6&#x202F;months follow up (<italic>n</italic> =&#x202F;375)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Case Control (ELISA)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Children &#x003C;12&#x202F;months: &#x2191; plasma IgA, LPS, FliC, and Intestinal-FABP levels;</p>
</list-item>
<list-item>
<p>Children &#x003E;12&#x202F;months: increased plasma zonulin suggests prior intestinal barrier disruption.</p>
</list-item>
<list-item>
<p>Stunted children showed reduced SAA, indicating weakened host defense, while higher citrulline and tryptophan levels reflected a systemic response to intestinal disruption and inflammation.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Guerrant et al., 2016 (<xref ref-type="bibr" rid="ref91">91</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">MAL-ED longitudinal birth cohort (<italic>n</italic>&#x202F;=&#x202F;1469)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Multi-site Cohort (Quantitative PCR)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Subclinical non-diarrheal infection with Shigella, enteroaggregative <italic>Escherichia coli</italic>, Campylobacter and Giardia showed larger decrease in LAZ than other microbes</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Rogawski et al., 2018 (<xref ref-type="bibr" rid="ref136">136</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Infants aged 5&#x2013;12&#x202F;months and followed up for 6&#x202F;months from Peru (<italic>n</italic>&#x202F;=&#x202F;78)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Pilot Prospective Cohort (ELISA and Metagenomics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Elevated serum I-FABP, TNF-&#x03B1;, and CD14 levels</p>
</list-item>
<list-item>
<p>Ruminococcaceae (Ruminococcus 1 and 2) and Coriobacteriaceae (Collinsella) increased over time in stool of children who became stunted</p>
</list-item>
<list-item>
<p>Decrease in the relative abundance of one genus of Enterobacteriaceae (Providencia)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Zambruni et al., 2019 (<xref ref-type="bibr" rid="ref121">121</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children in the slums of Bangladesh aged between 12 and 18&#x202F;months (<italic>n</italic>&#x202F;=&#x202F;100; 50 stunted &#x0026; 50 normal children)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Quasi-experi-mental (ELISA)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Decreased blood leptin production in stunted children prior to intervention (food supplementation and psychosocial stimulation)</p>
</list-item>
<list-item>
<p>Levels of blood CRP and most of the pro-inflammatory cytokines (IL-6, IL-12, and TNF-&#x03B1;,) were lower among stunted children</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Hossain et al., 2019 (<xref ref-type="bibr" rid="ref67">67</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">MAL-ED longitudinal birth cohort (<italic>n</italic>&#x202F;=&#x202F;1469)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Multi-site Cohort (MAL-ED cohort and a novel gnotobiotic murine model)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Giardia infection is associated with stunting among children with amino acids deficiencies with over production of phenolic acids</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Giallourou et al., 2023 (<xref ref-type="bibr" rid="ref137">137</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Stunted Children 0&#x2013;5yo with Chronic Infection from Indonesia (<italic>n</italic> =&#x202F;48)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Cross-sectional (ELISA)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Lower blood mean level of IGF-1 and TNF-&#x03B1; level in stunted children with chronic infection</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Nuryandari et al., 2024 (<xref ref-type="bibr" rid="ref122">122</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Pakistan EED Cohort (<italic>n</italic>&#x202F;=&#x202F;52);<break/>Zambia EED Cohort (<italic>n</italic>&#x202F;=&#x202F;30);<break/>USA Normal Controls (<italic>n</italic>&#x202F;=&#x202F;25)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>In-silico metabolic network modeling (Multi-omics)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Increased phosphatidylcholine, lysophosphatidylcholine (LPC) and ether-linked LPCs, and decreased ester-linked LPCs were observed in the duodenal lipidome of Pakistan EED subjects</p>
</list-item>
<list-item>
<p>Plasma levels of glycine-conjugated bile acids were significantly increased.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Zulqarnain et al., 2024 (<xref ref-type="bibr" rid="ref141">141</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Stunted versus non-stunted children under 5&#x202F;years in LMICs (Metaanalysis was not done)</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Systematic Review of 14 studies (Genomic Sequencing)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>No difference in alpha diversity</p>
</list-item>
<list-item>
<p>Higher beta diversity in stunted children</p>
</list-item>
<list-item>
<p>Abundance of pro-inflammatory Escherichia/Shigella and Campylobacter; &#x2193;butyrate producers and &#x2191; Ruminococcus</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Chibuye et al., 2024 (<xref ref-type="bibr" rid="ref135">135</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Children 0&#x2013;5&#x202F;years in LMIC</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Systematic Review of 80 studies from 31 countries (Observational and Interventional)</p>
</list-item>
</list>
</td>
<td align="left" valign="top">
<list list-type="bullet">
<list-item>
<p>Biomarkers of EED related to intestinal inflammation, permeability, and microbial translocation are associated with impaired linear growth</p>
</list-item>
<list-item>
<p>Elevated fecal inflammatory markers (myeloperoxidase and calprotectin), markers of gut permeability (including lactulose:mannitol ratio), and systemic inflammation markers are frequently linked to stunting.</p>
</list-item>
</list>
</td>
<td align="left" valign="top">Lowe et al., 2025 (<xref ref-type="bibr" rid="ref131">131</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>SAA, Serum amyloid A; ELISA, Enzyme linked immunoassay; IGF-1, Insulin growth factor-1; I-FABP, Intestinal fatty acid-binding protein; TNF-&#x03B1;, Tumor necrosis factor-alpha; MAL-ED, Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development.</p>
</table-wrap-foot>
</table-wrap>
<p>Environmental and nutritional factors strongly modulate EED risk. Poor sanitation, inadequate hygiene, and close contact with livestock increase exposure to enteric pathogens, while nutrient-poor diets limit intestinal repair and immune competence (<xref ref-type="bibr" rid="ref145">145</xref>). Observational studies consistently show that children living in unhygienic environments or households practicing open defecation exhibit higher EED biomarker levels and poorer growth outcomes (<xref ref-type="bibr" rid="ref146">146</xref>) found that children exposed to unsanitary environments exhibited elevated markers of gut inflammation and stunted growth. Although improvements in environmental hygiene are associated with reduced intestinal inflammation (<xref ref-type="bibr" rid="ref147">147</xref>), evidence from randomized trials indicates that conventional household-level water, sanitation, and hygiene (WASH) interventions alone have limited effects on EED biomarkers and stunting (<xref ref-type="bibr" rid="ref148">148</xref>, <xref ref-type="bibr" rid="ref149">149</xref>). Large trials in Bangladesh, Kenya, and Zimbabwe demonstrated that while improved infant and young child feeding (IYCF) enhanced linear growth, household-level WASH interventions did not consistently reduce stunting or enteropathogen exposure (<xref ref-type="bibr" rid="ref150">150</xref>). Recent systematic reviews confirm that poor WASH conditions are strongly associated with elevated EED biomarkers, yet WASH interventions show inconsistent effects, highlighting the need for transformative, community-level and nutrition-integrated approaches (<xref ref-type="bibr" rid="ref131">131</xref>, <xref ref-type="bibr" rid="ref151">151</xref>, <xref ref-type="bibr" rid="ref152">152</xref>).</p>
<p>Dietary inadequacies further exacerbate EED and growth failure. Deficiencies in key micronutrients, particularly zinc (<xref ref-type="bibr" rid="ref153 ref154 ref155">153&#x2013;155</xref>) and iron (<xref ref-type="bibr" rid="ref156">156</xref>, <xref ref-type="bibr" rid="ref157">157</xref>), impair epithelial repair, weaken immune defenses, and intensify chronic inflammation, compounding the effects of environmental exposures.</p>
<p>Collectively, current evidence indicates that stunting associated with chronic inflammation and EED arises from complex interactions among enteric infections, gut dysbiosis, metabolic dysfunction, and nutritional deficiencies. Effective prevention and mitigation will require integrated, multisectoral strategies that combine improved sanitation and hygiene, nutrient-dense diets, and interventions to reduce zoonotic and environmental pathogen exposure through improved household and livestock management practices.</p>
</sec>
</sec>
<sec id="sec11">
<title>Maternal influence</title>
<p>Maternal health and nutrition play a vital role in shaping the infant metabolome and can influence up to 30.3% of the risk for childhood stunting (<xref ref-type="bibr" rid="ref158">158</xref>). Factors such as short pregnancy intervals, inadequate maternal weight gain, and infections during pregnancy significantly affect fetal metabolic development (<xref ref-type="bibr" rid="ref159">159</xref>). Adequate maternal intake of amino acids, fatty acids, vitamins, and minerals is essential for proper fetal growth and metabolic programming, while deficiencies can lead to stunted fetal development and long-term health issues. Specifically, insufficient amino acids disrupt fetal metabolism (<xref ref-type="bibr" rid="ref61">61</xref>), and a lack of omega-3 and omega-6 fatty acids can impair brain development and growth (<xref ref-type="bibr" rid="ref160">160</xref>). Additionally, low maternal levels of trace elements like manganese, iron, zinc, iodine, and selenium are associated with higher risks of low birth weight and small-for-gestational-age infants (<xref ref-type="bibr" rid="ref161">161</xref>).</p>
<p>Zinc and vitamin B12 deficiencies during pregnancy further exacerbate the risk of childhood stunting, as both nutrients are vital for fetal development. Zinc deficiency, which can arise from poor maternal diet or genetic factors such as ZIP4 mutations, impairs enzyme activity and immune function, limiting zinc availability in breast milk (<xref ref-type="bibr" rid="ref162">162</xref>). Vitamin B12 deficiency disrupts key metabolic pathways, including taurine and hypotaurine metabolism, with taurine identified as a potential biomarker for B12 insufficiency (<xref ref-type="bibr" rid="ref163">163</xref>). Evidence suggests that higher folate consumption may help mitigate stunting risks in children with B12 deficiency (<xref ref-type="bibr" rid="ref164">164</xref>), and a study in Nepal showed that better maternal B12 status during pregnancy correlated with improved child height at 5&#x202F;years old (<xref ref-type="bibr" rid="ref165">165</xref>). Additionally, adequate maternal intake of one-carbon nutrients has been associated with enhanced cognitive development in offspring (<xref ref-type="bibr" rid="ref166">166</xref>).</p>
<p>The &#x201C;thrifty phenotype theory&#x201D; (<xref ref-type="bibr" rid="ref167">167</xref>) suggests that malnutrition around the time of conception induces fetal adaptations that, while aimed at survival, may predispose individuals to poor health and lower socioeconomic outcomes later in life. These maladaptive responses triggered by maternal, fetal, or placental stressors can impair fetal development and increase the risk of long-term metabolic disorders (<xref ref-type="bibr" rid="ref168">168</xref>). Folate, essential for DNA synthesis and methylation, is particularly crucial during embryonic development. However, genetic variants like the 677CT polymorphism in the MTHFR gene can reduce folate bioavailability and raise homocysteine levels which can increase the risk of adverse fetal outcomes (<xref ref-type="bibr" rid="ref169">169</xref>, <xref ref-type="bibr" rid="ref170">170</xref>). Additionally, maternal metabolic health such as insulin resistance linked to poor diet or obesity, can disrupt fetal glucose and lipid metabolism, contributing to fetal growth restriction and increased risk of stunting in early life (<xref ref-type="bibr" rid="ref171">171</xref>). Chronic maternal inflammation or enteropathy may further compromise fetal development, as shown by elevated maternal sCD14 levels correlating with pro-inflammatory immune responses in stunted children (<xref ref-type="bibr" rid="ref172">172</xref>).</p>
<p>Environmental factors further exacerbate metabolic disruptions in the infant. Exposure to environmental toxins, such as heavy metals and persistent organic pollutants, can impair nutrient transfer from mother to fetus, leading to metabolic imbalances that increase the risk of stunting (<xref ref-type="bibr" rid="ref173">173</xref>). Additionally, maternal infections during pregnancy can trigger inflammatory responses that disrupt placental function and nutrient delivery, negatively impacting fetal metabolome development and increasing the likelihood of childhood stunting (<xref ref-type="bibr" rid="ref174">174</xref>).</p>
<p>Studies highlight the strong connection between maternal and child undernutrition. Maternal metabolites can influence newborn size independently of maternal BMI and glycemia, emphasizing the critical role of maternal metabolic status (<xref ref-type="bibr" rid="ref175">175</xref>). Additionally, approximately 50% of childhood stunting occurs in utero, with stunted mothers more likely to have smaller babies than their non-stunted counterparts (<xref ref-type="bibr" rid="ref107">107</xref>, <xref ref-type="bibr" rid="ref176">176</xref>). Adequate maternal nutrition is essential to support infant growth and development (<xref ref-type="bibr" rid="ref177">177</xref>). In low and middle-income countries, animal-source foods rich in essential amino acids are particularly crucial for linear growth and development, emphasizing the importance of sufficient maternal nutrition during pregnancy (<xref ref-type="bibr" rid="ref178">178</xref>). Thus, ensuring optimal maternal nutrient intake, reducing metabolic stressors, and minimizing environmental risks can significantly improve infant health outcomes and help reduce the prevalence of childhood stunting.</p>
<p>The interconnection of the several pathways previously discussed is summarized in <xref ref-type="fig" rid="fig4">Figure 4</xref>.</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Integration of maternal factors and disrupted metabolic pathways contributing to growth faltering. Maternal factors such as inadequate nutrition, compromised metabolic health, and overall poor well-being can disrupt both maternal and fetal metabolic pathways, increasing the risk of childhood stunting. Created in BioRender. Crd, D. (2026), <ext-link xlink:href="https://BioRender.com/hskmumh" ext-link-type="uri">https://BioRender.com/hskmumh</ext-link>.</p>
</caption>
<graphic xlink:href="fnut-13-1761376-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Infographic illustrating how maternal influences such as inadequate nutrition, short pregnancy interval, metabolic health, and environmental factors disrupt fetal metabolic pathways, resulting in pathways affecting growth, epigenetics, and immunity, leading to stunted child development.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec12">
<title>Implications of metabolic pathways and biomarkers in the management of childhood stunting</title>
<p>The interplay between disrupted metabolic processes and nutritional deficiencies underscores the multifactorial nature of stunting. Identification of specific metabolites, such as those linked to amino acid metabolism, energy production, systemic inflammation and gut microbial activity, may provide deeper insights into the biological mechanisms contributing to growth impairment.</p>
<p>Based on the above discussions, the following strategies for alleviating childhood stunting may require further research:</p><list list-type="order">
<list-item>
<p>Nutritional Interventions: Providing diets supplemented with important macronutrients and micronutrients, including essential and non-essential amino acids, vitamins (vitamin A, folate, vitamins B6 and B12) and minerals (zinc, iron, calcium, iodine and selenium) are critical to addressing deficiencies that impair growth and metabolism (<xref ref-type="bibr" rid="ref179">179</xref>). These interventions may help address disruptions of biochemical pathways involving mTOR, Tryptophan-Kynurenine and OCM dysregulations.</p>
</list-item>
<list-item>
<p>Gut Health and Microbiota Restoration: Alterations in gut microbiota composition are strongly associated with stunting, making microbiota-targeted therapies an essential component of management (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref132">132</xref>). Strategies to restore the gut and microbiome health merits more investigation.</p>
</list-item>
<list-item>
<p>Inflammation Reduction: Chronic systemic inflammation, often resulting from recurrent infections and poor sanitation, significantly contributes to stunting. Strategies such as improving WASH and reducing exposure to infectious agents are essential in managing inflammation (<xref ref-type="bibr" rid="ref146">146</xref>). This intervention along with nutrient supplementation and microbiota restoration may address chronic inflammation, EED and microbiome disruption.</p>
</list-item>
<list-item>
<p>Maternal Centered Interventions: These are interventions that focus on improving maternal nutrition, metabolic health, and overall well-being to reduce the risk of childhood stunting. Ensuring that pregnant women receive a balanced diet rich in essential nutrients, including iron, folate, zinc, vitamin B12, and omega-3 fatty acids, is crucial for supporting fetal development. Micronutrient supplementation should be prioritized to prevent deficiencies that can impair growth (<xref ref-type="bibr" rid="ref180">180</xref>, <xref ref-type="bibr" rid="ref181">181</xref>). Additionally, reduction of maternal inflammation through anti-inflammatory diets and gut health optimization can promote better fetal development and long-term health outcomes (<xref ref-type="bibr" rid="ref182">182</xref>, <xref ref-type="bibr" rid="ref183">183</xref>). Proper pregnancy spacing allows maternal nutrient stores to replenish, leading to improved pregnancy outcomes (<xref ref-type="bibr" rid="ref184">184</xref>), while infection control measures help prevent complications that contribute to stunting (<xref ref-type="bibr" rid="ref185">185</xref>).</p>
</list-item>
<list-item>
<p>Integrated Public Health Approaches: It is important to address socioeconomic determinants of stunting through public health programs focused on maternal nutrition, antenatal care, and access to healthcare. These programs address the root causes of stunting while supporting child growth and development (<xref ref-type="bibr" rid="ref186">186</xref>).</p>
</list-item>
</list>
<p>A holistic approach combining multiomics-derived nutritional and microbiota interventions, control of infection, reduction of inflammation as well as systemic public health efforts may offer an effective strategy for better management of childhood stunting.</p>
</sec>
<sec sec-type="conclusions" id="sec13">
<title>Conclusion</title>
<p>Childhood stunting results from a complex interaction of malnutrition, infections, maternal and socio-environmental factors, with interventions often yielding mixed results. The persistence of stunting despite these efforts highlights the need for a deeper understanding of its underlying mechanisms. Advanced techniques in systems biology like multiomics approaches offer insights into molecular disruptions such as mTOR inactivation, tryptophan-kynurenine pathway dysregulation, methylation dysfunction and microbiome disturbance among others are linked to malnutrition and inflammation. However, much of the current evidence is associative rather than causal, underscoring the need for longitudinal and mechanistic studies to validate biomarkers and therapeutic targets. Future research integrating multi-omics approaches with clinical and public health strategies may enable precision nutrition and targeted interventions capable of sustainably improving child growth outcomes.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="sec14">
<title>Author contributions</title>
<p>GD-T: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AM: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. LB: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. NT: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AMT: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MP: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JA: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. RB:  Writing &#x2013; review &#x0026; editing. SZ: Writing &#x2013; review &#x0026; editing. VK: Writing &#x2013; review &#x0026; editing. MA: Writing &#x2013; review &#x0026; editing. ATT: Writing &#x2013; review &#x0026; editing. JN: Writing &#x2013; review &#x0026; editing. GG: Conceptualization, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec15">
<title>Conflict of interest</title>
<p>GD-T, AM, LB, NT, AMT, MP and JA were employed by Davao Medical School Foundation Inc.</p>
<p>The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec16">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was used in the creation of this manuscript. During the preparation of this work the authors used Chat GPT in order to correct grammar and improve readability. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.</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>
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<sec sec-type="disclaimer" id="sec17">
<title>Publisher&#x2019;s note</title>
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</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1815743/overview">Li Hong</ext-link>, Shanghai Children's Medical Center, China</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3114946/overview">Siddharth Singh</ext-link>, Indian Institute of Technology Indore, India</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3344162/overview">Sylvia Becker-Dreps</ext-link>, University of North Carolina at Chapel Hill, United States</p></fn>
</fn-group>
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