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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2025.1652487</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association of cord blood vitamin D and genetic polymorphisms with childhood food allergy in Shanghai, China: a prospective cohort</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xirui</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Cai</surname>
<given-names>Yingying</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Pei</surname>
<given-names>Jingjing</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Bin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yu</surname>
<given-names>Xiaodan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Developmental and Behavioral Pediatrics, Shanghai Children&#x2019;s Medical Center, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Pudong, Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Developmental and Behavior Pediatrics Department, Fujian Branch of Shanghai Children&#x2019;s Medical Center, Fujian Children&#x2019;s Hospital</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Nutrition Department, Wuxi Maternal and Child Health Care Hospital, Women&#x2019;s Hospital of Jiangnan University, Jiangnan University</institution>, <addr-line>Wuxi</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>MOE-Shanghai Key Laboratory of Children&#x2019;s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Yangpu, Shanghai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1056378/overview">Rosa Casas Rodriguez</ext-link>, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Spain</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/928965/overview">Fatme Al Anouti</ext-link>, Zayed University, United Arab Emirates</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3129601/overview">Liang Chen</ext-link>, Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Denmark</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Xiaodan Yu, <email>xd_yu2003@126.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1652487</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Wang, Cai, Pei, Wang, Tian, Zhang and Yu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Cai, Pei, Wang, Tian, Zhang and Yu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Emerging evidence suggests vitamin D plays a dual role in immune regulation, yet its interplay with genetic susceptibility in early-life allergy development remains poorly understood. This prospective cohort study investigated whether cord blood 25-hydroxyvitamin D [25(OH)D] levels interact with immunoregulatory gene variants to influence childhood food allergy risk.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A total of 1,049 mother-infant pairs from the Shanghai Allergy Cohort were stratified by cord blood 25(OH)D concentrations (&#x003C;15, 15&#x2013;25, &#x003E;25&#x202F;ng/mL). Food allergy diagnoses at 6, 12, and 24&#x202F;months followed standardized clinical criteria. Five single-nucleotide polymorphisms (SNPs) (IL4, IL4R, IL13, MS4A2) were genotyped using MALDI-TOF MS. Multivariable logistic regression evaluated associations between vitamin D, genetic polymorphisms, and allergy outcomes, adjusting for birth season, maternal allergy history, and environmental confounders. Gene-vitamin D interactions were tested via stratified analyses.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A U-shaped relationship was observed between cord blood serum25(OH)D levels and the risk of developing childhood food allergies. Both deficient (&#x003C;15&#x202F;ng/mL) and elevated (&#x003E;25&#x202F;ng/mL) 25(OH)D levels at birth independently increased 6-month food allergy risk (adjusted OR&#x202F;=&#x202F;2.55 and 2.38, respectively). By 24&#x202F;months, only deficient levels showed attenuated effects (OR&#x202F;=&#x202F;1.14, <italic>p</italic>&#x202F;=&#x202F;0.779). IL4R rs1801275 AA, IL13 rs20541 GG, and IL-4 rs2243250 CC genotypes synergistically amplified allergy risk under vitamin D deficiency (adjusted OR&#x202F;=&#x202F;26.14, <italic>p</italic>&#x202F;=&#x202F;0.019; OR&#x202F;=&#x202F;6.51, <italic>p</italic>&#x202F;=&#x202F;0.025; OR&#x202F;=&#x202F;4.13, <italic>p</italic>&#x202F;=&#x202F;0.007). Notably, the protective effect of MS4A2 rs569108 GG genotype observed at reference vitamin D levels (adjusted OR&#x202F;=&#x202F;0.55, <italic>p</italic>&#x202F;=&#x202F;0.016) was attenuated at high levels (OR&#x202F;=&#x202F;0.68, <italic>p</italic>&#x202F;=&#x202F;0.149).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Genetic susceptibility in Th2 pathway genes (IL4R, IL-4, IL13) dramatically amplified food allergy risk under vitamin D deficiency, with AA/GG/CC genotypes conferring 4- to 26-fold increased susceptibility. Conversely, the protective effect of MS4A2 rs569108 GG genotype was compromised at high vitamin D levels (&#x003E;25&#x202F;ng/mL). Our findings underscore that personalized vitamin D thresholds during pregnancy must account for fetal genetic background to mitigate allergy risk.</p>
</sec>
</abstract>
<kwd-group>
<kwd>vitamin D</kwd>
<kwd>genetic polymorphisms</kwd>
<kwd>food allergy</kwd>
<kwd>birth cohort</kwd>
<kwd>gene&#x2013;environment interaction</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="12"/>
<word-count count="8054"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutritional Epidemiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>While the effects of vitamin D deficiency on bone health are well documented, its role in other health outcomes is a contentious issue in many areas of medicine, including allergy and immunology. Vitamin D is increasingly recognized for its significant role as an immunomodulatory agent, influencing various aspects of the immune system, including allergies and immunology (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Interest in the role of vitamin D in the incidence of allergic diseases has significantly increased in recent years, largely due to the perception of vitamin D supplementation as an affordable, noninvasive, and easily administered intervention. Research has shown that vitamin D deficiency is often associated with an increased risk of developing allergic diseases. For instance, children with lower vitamin D levels have been found to have a higher likelihood of food allergies, particularly in their early years (<xref ref-type="bibr" rid="ref3">3</xref>). This association is thought to be due to vitamin D&#x2019;s role in maintaining the integrity of the epithelial barrier and promoting a more tolerogenic immune response, which can prevent the immune system from overreacting to harmless antigens (<xref ref-type="bibr" rid="ref4">4</xref>). However, the evidence regarding the impact of vitamin D on allergy-related outcomes remains inconclusive.</p>
<p>The proposed mechanism by which vitamin D influences immune development and immune-related diseases involves both direct and indirect effects on the immune system. In their review of the impacts of gut microbiota, probiotics, and vitamin D on allergies and asthma, Ly et al. posited that vitamin D may serve as a significant modifier in the relationship between intestinal flora and inflammatory disorders (<xref ref-type="bibr" rid="ref5">5</xref>). Recent discussions have suggested that low levels of vitamin D may constitute a risk factor for inflammatory bowel diseases, such as Crohn&#x2019;s disease, indicating that vitamin D can influence gut inflammation (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). This gut inflammation, in turn, may impact immune development and function, potentially manifesting as the initial observable inflammatory diseases, such as eczema and allergies (<xref ref-type="bibr" rid="ref8">8</xref>). The conversion of 25-hydroxyvitamin D [25(OH)D] to its active form, 1,25-dihydroxyvitamin D [1,25(OH)2D], within monocytes and macrophages enhances the synthesis of antimicrobial peptides, thereby augmenting cellular immune responses. Vitamin D inhibits the proinflammatory responses of the adaptive immune system, and promotes proliferation of immunosuppressive regulatory T cells and their accumulation at sites of inflammation (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>Given the promising data from clinical trials, the inconsistent findings from observational studies&#x2014;including the German LINA cohort where higher maternal vitamin D correlated with increased food allergy risk (<xref ref-type="bibr" rid="ref11">11</xref>)&#x2014;regarding intrauterine vitamin D status and atopic disease incidence remain perplexing (<xref ref-type="bibr" rid="ref12 ref13 ref14 ref15">12&#x2013;15</xref>). The significant clustering of allergies within families indicates a genetic foundation, with several genetic polymorphisms being involved (<xref ref-type="bibr" rid="ref16 ref17 ref18 ref19">16&#x2013;19</xref>). Liu et al. proposed that vitamin D might interact with or modify genetic predispositions in children with high-risk genotypes, based on their findings of a significant interaction between an IL-4 gene polymorphism and vitamin D deficiency (<xref ref-type="bibr" rid="ref20">20</xref>). This interaction was associated with an increased risk of food sensitization among children with CC/CT genotypes (OR&#x202F;=&#x202F;1.79, 95% CI: 1.15&#x2013;2.77). To comprehensively understand the relationship between intrauterine vitamin D exposure and allergic diseases, it is essential to conduct analyses using well-designed, large-scale prospective cohorts of maternal&#x2013;infant dyads. These studies should account for individual genetic risk, early life exposures, and environmental confounders. This study aims to assess the relationship between maternal and cord blood vitamin D status and atopic outcomes within a thoroughly characterized prospective birth cohort, featuring clinically validated outcomes and long-term follow-up.</p>
<p>The influence of early-life vitamin D on the development of childhood allergies remains a subject of debate. Polymorphisms in genes are hypothesized to modulate the effects of vitamin D <italic>in vivo</italic>. This study aims to investigate the associations between vitamin D exposure and genetic polymorphisms in the context of childhood food allergy development.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study population</title>
<p>The data we consider arises from a prospective birth cohort study in Shanghai, called the Shanghai Allergy Cohort Study (<xref ref-type="bibr" rid="ref21">21</xref>). Between 2012 and 2013, 1,269 mother-infant pairs were enrolled at two major tertiary hospitals in Shanghai: Xinhua Hospital and the International Peace Maternity and Child Hospital. Written informed consent was secured from the mothers before delivery, and face-to-face interviews were conducted by trained nurses. Upon birth, the study nurses obtained the newborn&#x2019;s anthropometric data and, when accessible, umbilical cord blood. Ethics approval was obtained by the Ethics Committees of both Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine and the International Maternal and Children Care Hospital (approval number: XHEC-C-2012-003) and conducted according to the principles in the Declaration of Helsinki.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Clinical assessment and sample collection</title>
<p>Trained research reviewers conducted face-to-face interviews using structured questionnaires, collecting information on maternal age, height, prepregnancy weight, education level, socioeconomic status, maternal atopy, prenatal pet exposure, prenatal active or secondhand smoking, vitamin D and other multi-vitamin supplement intake, outdoor activity during pregnancy, and smoking status of the mother, father, coworkers and relatives. Maternal atopy was referred to those mothers who had asthma, allergic rhinitis or atopic dermatitis along with detectable specific IgE. Prenatal pet exposure was defined as keeping cats or dogs at home during pregnancy. Information on parity, previous pregnancy, gestational age, date of birth, delivery mode, infants&#x2019; gender, birth weight and antenatal complications was obtained from medical records.</p>
<p>Interviewer-led questionnaires and clinical assessments were conducted at 6, 12 and 24&#x202F;months. Data on infant feeding, detailing breast-feeding, formula or combination feeding, frequency of feeds, name and brand of infant formula, complementary feeding, eating behavior, and supplementation was collected at each time-point. Anthropometric measures of weight, length, and abdominal circumference were measured using standard operating procedures. Longitudinal screening to assess suspected food allergy was performed at each clinical assessment visit using clinical diagnostic criteria.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Measurements of umbilical cord blood 25(OH)D</title>
<p>As described before (<xref ref-type="bibr" rid="ref21">21</xref>), the data contains exposures to 25(OH)D were measured in cord serum as the primary marker of maternal vitamin D exposure. The primary measurement of the present study was the cord serum level of 25(OH)D. Cord blood was available for 1,071 of the newborn participants. Maternal blood during pregnancy or postnatal infant vitamin D measurements were not obtained due to ethical and practical constraints associated with repeated blood sampling in this cohort. The samples of cord blood were spun and placed in &#x2212;80&#x00B0;C freezers within a two-hour window. We utilized the sensitive LC&#x2013;MS/MS method to analyze serum 25(OH)D as per the procedure reported by our previous study (<xref ref-type="bibr" rid="ref22">22</xref>). In this assay, the level of sensitivity for LC/MS/MS assay was 0.05&#x202F;ng/mL for 25(OH)D<sub>2</sub>, and 0.1&#x202F;ng/mL for 25(OH)D<sub>3</sub>. The serum samples (100&#x202F;&#x03BC;L) underwent deproteinization and precipitation with methanol, acetonitrile, zinc sulfate, and internal standards, including deuterated 25(OH)D<sub>2</sub> and 25(OH)D<sub>3</sub> (Sigma, St. Louis, MO, USA). Chromatographic separations were achieved using a 50&#x202F;&#x00D7;&#x202F;2.1&#x202F;mm, 2.7&#x202F;&#x03BC;m Agilent Poroshell 120 EC-C18 column, with a mobile phase gradient of water containing 0.1% formic acid and methanol, at a flow rate of 0.5&#x202F;mL/min. Multiple reaction monitoring (MRM) of the analyses was performed under electrospray ionization (ESI) in the positive mode at <italic>m/z</italic> 401.3&#x202F;&#x2192;&#x202F;383.2 and 401.3&#x202F;&#x2192;&#x202F;159.1 for 25(OH)D<sub>3</sub>, <italic>m/z</italic> 413.3&#x202F;&#x2192;&#x202F;395.3 and 413.3&#x202F;&#x2192;&#x202F;355.2 for 25(OH)D<sub>2</sub>, and <italic>m/z</italic> 404.3&#x202F;&#x2192;&#x202F;386.3 and 416.4.3&#x202F;&#x2192;&#x202F;398.3 for d3-25(OH)D<sub>3</sub> and d3-25(OH)D<sub>2</sub>, respectively. Although there is no consensus on optimal levels of 25(OH)D as measured in cord blood serum (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>), vitamin D level has been divided into three groups [25(OH)D &#x003C;15&#x202F;ng/mL; 15&#x2013;25&#x202F;ng/mL; &#x003E;25&#x202F;ng/mL] according to our previous study (<xref ref-type="bibr" rid="ref25">25</xref>).</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Selection of single nucleotide polymorphisms and genotyping</title>
<p>This investigation targeted four candidate genes, including IL13, IL4, IL4RA, and FCER1B, which are significant inflammatory genes impacting IgE levels and have been associated with atopy in more than ten studies (<xref ref-type="bibr" rid="ref26 ref27 ref28">26&#x2013;28</xref>). An earlier study recognized gene interactions linked to asthma in Chinese Han children (<xref ref-type="bibr" rid="ref29">29</xref>). Five functional single-nucleotide polymorphisms (SNPs) with a minor allele frequency exceeding 10% were selected for analysis from these genes (<xref ref-type="bibr" rid="ref30">30</xref>).</p>
<p>The QIAamp DNA Blood Mini Kit (QIAGEN, Hilden, Germany) was used to extract genomic DNA from cord blood. Genotyping of the five SNPs was conducted using MALDI-TOF MS, which stands for matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (<xref ref-type="bibr" rid="ref30">30</xref>), using the MassARRAY iPLEX platform (Sequenom Inc., San Diego, CA, USA) according to the manufacturer&#x2019;s instructions. The overall call rate was 98.6%. The quality control for genotyping involved 5% duplicate and negative samples, with a concordance rate exceeding 98%.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Data was analyzed using a prospective cohort design to evaluate associations between cord blood vitamin D levels, genetic polymorphisms, and childhood food allergy. Continuous variables were expressed as mean&#x202F;&#x00B1;&#x202F;standard deviation (SD) and compared across vitamin D strata (&#x003C;15, 15&#x2013;25, &#x003E;25&#x202F;ng/mL) using one-way ANOVA or non-parametric Kruskal-Wallis tests, as appropriate. Categorical variables were summarized as counts (%) and analyzed via CMH- &#x03C7;<sup>2</sup> or Fisher&#x2019;s exact tests. The deviations from Hardy&#x2013;Weinberg equilibrium (HWE) were tested using &#x03C7;<sup>2</sup> tests to ensure genotype frequencies in the study population conformed to expected distributions. Polymorphisms violating HWE (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) were flagged for sensitivity analyses. Univariate and multivariate logistic regression models were employed to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between vitamin D levels and food allergy at 6, 12, and 24&#x202F;months. Multivariate models adjusted for covariates identified according to the clinical experience, including season of birth, newborn sex, maternal allergy history, household pet ownership, pre-pregnancy smoking, antibiotic use during pregnancy, birth weight, APGAR score, maternal BMI, and maternal age. Sensitivity analyses confirmed model robustness. Genetic polymorphisms were evaluated under dominant and recessive inheritance models. Interaction effects between vitamin D levels and genotypes were tested using stratified logistic regression, with multiplicative interaction terms. Adjusted ORs were reported after controlling for confounding variables. A two-tailed <italic>p</italic>-value &#x003C;0.05 defined statistical significance. Sensitivity analyses treated cord blood 25(OH)D as a continuous variable using restricted cubic splines with three knots (10th, 50th, 90th percentiles) to model non-linear associations and test dose&#x2013;response relationships. Gene&#x2013;environment interactions were formally tested by including multiplicative interaction terms (genetic model &#x00D7; vitamin D category) in adjusted logistic regression models. Dominant/recessive models were selected based on prior functional evidence (<xref ref-type="bibr" rid="ref31">31</xref>). Given the non-linear relationship between continuous 25(OH)D and allergy risk (see Results 3.2), genotype-stratified analyses are presented using categorical vitamin D. All analyses were performed using SAS v9.4 (SAS Institute), with missing data addressed via complete-case analysis, as missingness was &#x003C;5% for all variables. Results were reported in accordance with STROBE guidelines to ensure methodological transparency.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<sec id="sec13">
<label>3.1</label>
<title>Baseline characteristics of the cohort population</title>
<p>The flow chart of the study protocol is shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. Effective cord blood was available for 1,049 of the newborn participants. None of the participants were included twice during the study. General characteristics of the pregnant women and their infants are present in <xref ref-type="table" rid="tab1">Table 1</xref>. The study cohort comprised 1,049 mother&#x2013;child pairs stratified by cord blood vitamin D levels: &#x003C;15&#x202F;ng/mL (<italic>N</italic>&#x202F;=&#x202F;37), 15&#x2013;25&#x202F;ng/mL (<italic>N</italic>&#x202F;=&#x202F;611), and &#x003E;25&#x202F;ng/mL (<italic>N</italic>&#x202F;=&#x202F;401). Significant differences were observed across vitamin D groups for paternal age (mean&#x202F;&#x00B1;&#x202F;SD: 30.94&#x202F;&#x00B1;&#x202F;3.98 vs. 31.38&#x202F;&#x00B1;&#x202F;4.29 vs. 32.10&#x202F;&#x00B1;&#x202F;4.94; <italic>p</italic>&#x202F;=&#x202F;0.037), gravidity (<italic>p</italic>&#x202F;=&#x202F;0.0028), gestational age categories (<italic>p</italic>&#x202F;=&#x202F;0.0028), and season of birth (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Infants born between April and June had the lowest vitamin D levels, while those born between October and December had the highest (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). No significant differences were found in maternal age, BMI, birth weight, race/ethnicity, mode of delivery, sex, maternal/paternal allergy history, household income, education levels, pet ownership, smoking exposure, or pregnancy complications (e.g., preeclampsia, gestational diabetes mellitus). However, infants in the lowest vitamin D group (&#x003C;15&#x202F;ng/mL) showed a higher proportion of 6-month-old food allergy (11.11% vs. 4.46% in the reference group [15&#x2013;25&#x202F;ng/mL], <italic>p</italic>&#x202F;=&#x202F;0.0067), persisting to 24&#x202F;months (42.86% vs. 19.49%, <italic>p</italic>&#x202F;=&#x202F;0.014).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow chart of the study protocol. 25(OH)D, 25-hydroxyvitamin D; SNPs, single-nucleotide polymorphisms.</p>
</caption>
<graphic xlink:href="fnut-12-1652487-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart depicting the participant selection and exclusion process in the Shanghai Allergy Cohort study. Initially, 1269 pregnant women were included. 198 were excluded due to follow-up loss or unavailable data. Measurements were taken at cord blood for 1071, with further exclusions at each follow-up: 377 at six months, 64 at twelve months, and 95 at twenty-four months, due to contact changes, declining to continue, or other reasons. Final follow-up included 535 participants.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Baseline characteristics of the cohort population and descriptive analysis of groups stratified by vitamin D levels.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2" rowspan="2">Characteristics</th>
<th align="center" valign="top" colspan="3">Vitamin D levels</th>
<th align="center" valign="top" rowspan="2">Statistics</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic> value</th>
</tr>
<tr>
<th align="center" valign="top">&#x003C;15 (<italic>N</italic>&#x202F;=&#x202F;37)</th>
<th align="center" valign="top">15&#x202F;~&#x202F;25 (<italic>N</italic>&#x202F;=&#x202F;611)</th>
<th align="center" valign="top">&#x003E;25 (<italic>N</italic>&#x202F;=&#x202F;401)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Maternal age (year)</td>
<td align="center" valign="middle">Mean (SD)</td>
<td align="center" valign="middle">28.94 (3.31)</td>
<td align="center" valign="middle">29.05 (3.38)</td>
<td align="center" valign="middle">29.41 (3.84)</td>
<td align="center" valign="top">1.31</td>
<td align="center" valign="top">0.272</td>
</tr>
<tr>
<td align="left" valign="middle">Paternal age (year)</td>
<td align="center" valign="middle">Mean (SD)</td>
<td align="center" valign="middle">30.94 (3.98)</td>
<td align="center" valign="middle">31.38 (4.29)</td>
<td align="center" valign="middle">32.10 (4.94)</td>
<td align="center" valign="top">3.3</td>
<td align="center" valign="top"><bold>0.037</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Maternal BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="middle">Mean (SD)</td>
<td align="center" valign="middle">21.94 (3.51)</td>
<td align="center" valign="middle">21.44 (3.67)</td>
<td align="center" valign="middle">21.37 (3.21)</td>
<td align="center" valign="top">0.44</td>
<td align="center" valign="top">0.646</td>
</tr>
<tr>
<td align="left" valign="middle">Gestational age (week)</td>
<td align="center" valign="middle">Mean (SD)</td>
<td align="center" valign="middle">38.78 (1.17)</td>
<td align="center" valign="middle">38.82 (1.32)</td>
<td align="center" valign="middle">38.65 (1.28)</td>
<td align="center" valign="top">2.13</td>
<td align="center" valign="top">0.119</td>
</tr>
<tr>
<td align="left" valign="middle">Birth weight (g)</td>
<td align="center" valign="middle">Mean (SD)</td>
<td align="center" valign="middle">3475.97 (433.51)</td>
<td align="center" valign="middle">3413.67 (466.79)</td>
<td align="center" valign="middle">3369.80 (459.44)</td>
<td align="center" valign="top">1.58</td>
<td align="center" valign="top">0.206</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Race/Ethnicity</td>
<td align="center" valign="middle">Han Chinese</td>
<td align="center" valign="middle">34 (91.89)</td>
<td align="center" valign="middle">579 (94.76)</td>
<td align="center" valign="middle">385 (96.01)</td>
<td align="center" valign="middle">1.69</td>
<td align="center" valign="middle">0.430</td>
</tr>
<tr>
<td align="center" valign="middle">Other</td>
<td align="center" valign="middle">3 (8.11)</td>
<td align="center" valign="middle">32 (5.24)</td>
<td align="center" valign="middle">16 (3.99)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Parity</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">33 (91.67)</td>
<td align="center" valign="middle">544 (91.43)</td>
<td align="center" valign="middle">345 (87.12)</td>
<td align="center" valign="middle">7.18</td>
<td align="center" valign="middle">0.127</td>
</tr>
<tr>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">3 (8.33)</td>
<td align="center" valign="middle">49 (8.24)</td>
<td align="center" valign="middle">51 (12.88)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">0 (0.00)</td>
<td align="center" valign="middle">2 (0.34)</td>
<td align="center" valign="middle">0 (0.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Gravidity</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">24 (66.67)</td>
<td align="center" valign="middle">393 (66.05)</td>
<td align="center" valign="middle">257 (64.90)</td>
<td align="center" valign="middle">16.17</td>
<td align="center" valign="middle"><bold>0.003</bold></td>
</tr>
<tr>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">11 (30.56)</td>
<td align="center" valign="middle">149 (25.04)</td>
<td align="center" valign="middle">77 (19.44)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">&#x003E;1</td>
<td align="center" valign="middle">1 (2.78)</td>
<td align="center" valign="middle">53 (8.91)</td>
<td align="center" valign="middle">62 (15.66)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">Gestational age</td>
<td align="center" valign="middle">&#x003C;38</td>
<td align="center" valign="middle">3 (8.33)</td>
<td align="center" valign="middle">53 (8.91)</td>
<td align="center" valign="middle">39 (9.85)</td>
<td align="center" valign="middle">8.57</td>
<td align="center" valign="middle">0.199</td>
</tr>
<tr>
<td align="center" valign="middle">38</td>
<td align="center" valign="middle">14 (38.89)</td>
<td align="center" valign="middle">160 (26.89)</td>
<td align="center" valign="middle">125 (31.57)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">9 (25.00)</td>
<td align="center" valign="middle">218 (36.64)</td>
<td align="center" valign="middle">148 (37.37)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">&#x003E;39</td>
<td align="center" valign="middle">10 (27.78)</td>
<td align="center" valign="middle">164 (27.56)</td>
<td align="center" valign="middle">84 (21.21)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Season of birth</td>
<td align="center" valign="top">April through June</td>
<td align="center" valign="middle">10 (29.41)</td>
<td align="center" valign="middle">112 (18.95)</td>
<td align="center" valign="middle">60 (15.31)</td>
<td align="center" valign="middle">37.37</td>
<td align="center" valign="middle"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="center" valign="top">July through September</td>
<td align="center" valign="middle">20 (58.82)</td>
<td align="center" valign="middle">297 (50.25)</td>
<td align="center" valign="middle">147 (37.50)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="top">October through December</td>
<td align="center" valign="middle">4 (11.76)</td>
<td align="center" valign="middle">182 (30.80)</td>
<td align="center" valign="middle">185 (47.19)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Mode of delivery</td>
<td align="center" valign="top">Cesarean birth</td>
<td align="center" valign="middle">8 (22.22)</td>
<td align="center" valign="middle">134 (22.52)</td>
<td align="center" valign="middle">97 (24.49)</td>
<td align="center" valign="middle">0.54</td>
<td align="center" valign="middle">0.763</td>
</tr>
<tr>
<td align="center" valign="top">Natural birth</td>
<td align="center" valign="middle">28 (77.78)</td>
<td align="center" valign="middle">461 (77.48)</td>
<td align="center" valign="middle">299 (75.51)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Sex of the newborn</td>
<td align="center" valign="top">Male</td>
<td align="center" valign="middle">18 (50.00)</td>
<td align="center" valign="middle">318 (53.45)</td>
<td align="center" valign="middle">198 (50.13)</td>
<td align="center" valign="middle">1.11</td>
<td align="center" valign="middle">0.574</td>
</tr>
<tr>
<td align="center" valign="top">Female</td>
<td align="center" valign="middle">18 (50.00)</td>
<td align="center" valign="middle">277 (46.55)</td>
<td align="center" valign="middle">197 (49.87)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Maternal allergy</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">26 (78.79)</td>
<td align="center" valign="middle">517 (87.04)</td>
<td align="center" valign="middle">332 (86.01)</td>
<td align="center" valign="middle">1.88</td>
<td align="center" valign="middle">0.391</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">7 (21.21)</td>
<td align="center" valign="middle">77 (12.96)</td>
<td align="center" valign="middle">54 (13.99)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Paternal allergy</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">0 (0.00)</td>
<td align="center" valign="middle">7 (11.48)</td>
<td align="center" valign="middle">6 (14.29)</td>
<td align="center" valign="middle">0.76</td>
<td align="center" valign="middle">0.684</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">4 (100.00)</td>
<td align="center" valign="middle">54 (88.52)</td>
<td align="center" valign="middle">36 (85.71)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Household income (RMB/yr)</td>
<td align="center" valign="middle">&#x003C;200,000</td>
<td align="center" valign="middle">12 (44.44)</td>
<td align="center" valign="middle">160 (32.26)</td>
<td align="center" valign="middle">92 (29.68)</td>
<td align="center" valign="middle">5.98</td>
<td align="center" valign="middle">0.201</td>
</tr>
<tr>
<td align="center" valign="middle">200,000&#x2013;500,000</td>
<td align="center" valign="middle">12 (44.44)</td>
<td align="center" valign="middle">221 (44.56)</td>
<td align="center" valign="middle">131 (42.26)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">&#x003E;500,000</td>
<td align="center" valign="middle">3 (11.11)</td>
<td align="center" valign="middle">115 (23.19)</td>
<td align="center" valign="middle">87 (28.06)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Maternal education level</td>
<td align="center" valign="middle">High school degree or below</td>
<td align="center" valign="middle">8 (22.86)</td>
<td align="center" valign="middle">83 (13.93)</td>
<td align="center" valign="middle">56 (14.18)</td>
<td align="center" valign="middle">2.77</td>
<td align="center" valign="middle">0.597</td>
</tr>
<tr>
<td align="center" valign="middle">College degree</td>
<td align="center" valign="middle">25 (71.43)</td>
<td align="center" valign="middle">464 (77.85)</td>
<td align="center" valign="middle">302 (76.46)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">Bachelor degree or above</td>
<td align="center" valign="middle">2 (5.71)</td>
<td align="center" valign="middle">49 (8.22)</td>
<td align="center" valign="middle">37 (9.37)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">Paternal education level</td>
<td align="center" valign="middle">High school degree or below</td>
<td align="center" valign="middle">6 (17.14)</td>
<td align="center" valign="middle">82 (13.78)</td>
<td align="center" valign="middle">50 (12.76)</td>
<td align="center" valign="middle">2.08</td>
<td align="center" valign="middle">0.720</td>
</tr>
<tr>
<td align="center" valign="middle">College degree</td>
<td align="center" valign="middle">27 (77.14)</td>
<td align="center" valign="middle">443 (74.45)</td>
<td align="center" valign="middle">291 (74.23)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="middle">Bachelor degree or above</td>
<td align="center" valign="middle">2 (5.71)</td>
<td align="center" valign="middle">70 (11.76)</td>
<td align="center" valign="middle">51 (13.01)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Household pet ownership</td>
<td align="center" valign="middle">No</td>
<td align="center" valign="middle">33 (94.29)</td>
<td align="center" valign="middle">539 (90.59)</td>
<td align="center" valign="middle">340 (86.51)</td>
<td align="center" valign="middle">5.05</td>
<td align="center" valign="middle">0.080</td>
</tr>
<tr>
<td align="center" valign="middle">Yes</td>
<td align="center" valign="middle">2 (5.71)</td>
<td align="center" valign="middle">56 (9.41)</td>
<td align="center" valign="top">53 (13.49)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Pre-pregnancy smoking</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">35 (100.00)</td>
<td align="center" valign="top">592 (99.16)</td>
<td align="center" valign="top">385 (97.72)</td>
<td align="center" valign="top">4.19</td>
<td align="center" valign="top">0.123</td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">5 (0.84)</td>
<td align="center" valign="top">9 (2.28)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2"><italic>In utero</italic> smoking exposure</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">15 (40.54)</td>
<td align="center" valign="top">328 (53.68)</td>
<td align="center" valign="top">221 (55.11)</td>
<td align="center" valign="top">2.89</td>
<td align="center" valign="top">0.235</td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">22 (59.46)</td>
<td align="center" valign="top">283 (46.32)</td>
<td align="center" valign="top">180 (44.89)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Prenatal complications</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">27 (77.14)</td>
<td align="center" valign="top">485 (83.33)</td>
<td align="center" valign="top">299 (78.27)</td>
<td align="center" valign="top">4.25</td>
<td align="center" valign="top">0.119</td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">8 (22.86)</td>
<td align="center" valign="top">97 (16.67)</td>
<td align="center" valign="top">83 (21.73)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Preeclampsia</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">35 (97.22)</td>
<td align="center" valign="top">561 (95.41)</td>
<td align="center" valign="top">363 (94.29)</td>
<td align="center" valign="top">0.99</td>
<td align="center" valign="top">0.607</td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">1 (2.78)</td>
<td align="center" valign="top">27 (4.59)</td>
<td align="center" valign="top">22 (5.71)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">GDM</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">32 (88.89)</td>
<td align="center" valign="top">533 (90.49)</td>
<td align="center" valign="top">332 (86.01)</td>
<td align="center" valign="top">4.68</td>
<td align="center" valign="top">0.096</td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">4 (11.11)</td>
<td align="center" valign="top">56 (9.51)</td>
<td align="center" valign="top">54 (13.99)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Antibiotic use during pregnancy</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">32 (91.43)</td>
<td align="center" valign="top">574 (96.31)</td>
<td align="center" valign="top">381 (96.95)</td>
<td align="center" valign="top">2.84</td>
<td align="center" valign="top">0.242</td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">3 (8.57)</td>
<td align="center" valign="top">22 (3.69)</td>
<td align="center" valign="top">12 (3.05)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Gestational glucose intolerance</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">36 (100.00)</td>
<td align="center" valign="top">582 (99.32)</td>
<td align="center" valign="top">389 (99.49)</td>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">0 (0.00)</td>
<td align="center" valign="top">4 (0.68)</td>
<td align="center" valign="top">2 (0.51)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">6-month-old food allergy</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">24 (88.89)</td>
<td align="center" valign="top">386 (95.54)</td>
<td align="center" valign="top">235 (89.35)</td>
<td align="center" valign="top">10.01</td>
<td align="center" valign="top"><bold>0.0067</bold></td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">3 (11.11)</td>
<td align="center" valign="top">18 (4.46)</td>
<td align="center" valign="top">28 (10.65)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">12-month-old food allergy</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">21 (84.00)</td>
<td align="center" valign="top">342 (91.44)</td>
<td align="center" valign="top">200 (86.58)</td>
<td align="center" valign="top">4.34</td>
<td align="center" valign="top">0.114</td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">4 (16.00)</td>
<td align="center" valign="top">32 (8.56)</td>
<td align="center" valign="top">31 (13.42)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">24-month-old food allergy</td>
<td align="center" valign="top">No</td>
<td align="center" valign="top">12 (57.14)</td>
<td align="center" valign="top">252 (80.51)</td>
<td align="center" valign="top">147 (73.13)</td>
<td align="center" valign="top">8.50</td>
<td align="center" valign="top"><bold>0.014</bold></td>
</tr>
<tr>
<td align="center" valign="top">Yes</td>
<td align="center" valign="top">9 (42.86)</td>
<td align="center" valign="top">61 (19.49)</td>
<td align="center" valign="top">54 (26.87)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Bold values: <italic>p</italic> &#x003C; 0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>Associations between vitamin D levels and food allergy</title>
<p>In univariate analysis, both low (&#x003C;15&#x202F;ng/mL) and high (&#x003E;25&#x202F;ng/mL) vitamin D levels were associated with increased risk of food allergy at 6&#x202F;months (OR&#x202F;=&#x202F;2.40, 95% CI: 1.18&#x2013;4.90, <italic>p</italic>&#x202F;=&#x202F;0.016; OR&#x202F;=&#x202F;2.56, 95% CI: 1.38&#x2013;4.72, <italic>p</italic>&#x202F;=&#x202F;0.003) and 12&#x202F;months (OR&#x202F;=&#x202F;2.08, 95% CI: 1.35&#x2013;3.19, <italic>p</italic>&#x202F;=&#x202F;0.001; OR&#x202F;=&#x202F;1.62, 95% CI: 1.12&#x2013;2.36, <italic>p</italic>&#x202F;=&#x202F;0.011) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). Restricted cubic spline curves model confirmed a significant U-shaped dose&#x2013;response relationship (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Risk increased by 18&#x2013;22% per 5&#x202F;ng/mL decrease below 20&#x202F;ng/mL and 10&#x2013;18% per 5&#x202F;ng/mL increase above 25&#x202F;ng/mL at 6&#x2013;12&#x202F;months (all <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). After adjusting for covariates (season of birth, sex, maternal allergy, pet ownership, smoking, antibiotic use, birth weight, APGAR score, maternal BMI, and age), these associations remained significant for 6-month (adjusted OR&#x202F;=&#x202F;2.55, <italic>p</italic>&#x202F;=&#x202F;0.015 for &#x003C;15&#x202F;ng/mL; adjusted OR&#x202F;=&#x202F;2.38, <italic>p</italic>&#x202F;=&#x202F;0.008 for &#x003E;25&#x202F;ng/mL) and 12-month allergies (adjusted OR&#x202F;=&#x202F;1.98, <italic>p</italic>&#x202F;=&#x202F;0.035 for &#x003C;15&#x202F;ng/mL) (<xref ref-type="table" rid="tab2">Table 2</xref>). By 24&#x202F;months, only low vitamin D retained marginal significance in univariate analysis (OR&#x202F;=&#x202F;1.55, <italic>p</italic>&#x202F;=&#x202F;0.027), but not after adjustment (adjusted OR&#x202F;=&#x202F;1.14, <italic>p</italic>&#x202F;=&#x202F;0.779) (<xref ref-type="table" rid="tab2">Table 2</xref>). For cumulative 0&#x2013;24&#x202F;month allergy risk, high vitamin D (&#x003E;25&#x202F;ng/mL) showed a robust association (adjusted OR&#x202F;=&#x202F;1.78, 95% CI: 1.19&#x2013;2.67, <italic>p</italic>&#x202F;=&#x202F;0.005), while low vitamin D trended toward significance (adjusted OR&#x202F;=&#x202F;1.50, <italic>p</italic>&#x202F;=&#x202F;0.044) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Relationship between cord blood vitamin D and food allergy status at: <bold>(a)</bold> 6-month; <bold>(b)</bold> 12-month; <bold>(c)</bold> 24-month. 25(OH)D, 25-hydroxyvitamin D.</p>
</caption>
<graphic xlink:href="fnut-12-1652487-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three line graphs labeled (a), (b), and (c) show the relationship between 25(OH)D levels and time intervals of six, twelve, and twenty-four months. All graphs plot 25(OH)D in nanograms per milliliter on the x-axis and a numerical value on the y-axis. Red lines represent data trends with surrounding blue dotted confidence intervals. Graph (a) depicts decreasing values with a slight increase, (b) shows a more stable trend, and (c) displays a trend similar to (a) with lower initial values and a subsequent rise. Black tick marks along the x-axis likely indicate individual data points.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Associations between vitamin D levels and food allergy: categorical and continuous vitamin D model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Cord blood 25(OH)D model</th>
<th align="center" valign="top">6-month aOR (95% CI)</th>
<th align="center" valign="top">12-month aOR (95% CI)</th>
<th align="center" valign="top">24-month aOR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Categorical: 15&#x202F;~&#x202F;25&#x202F;ng/mL</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">Ref.</td>
</tr>
<tr>
<td align="left" valign="middle">Categorical: &#x003C;15&#x202F;ng/mL</td>
<td align="center" valign="middle"><bold>2.55 (1.20&#x2013;5.43)</bold></td>
<td align="center" valign="middle"><bold>1.98 (1.05&#x2013;3.73)</bold></td>
<td align="center" valign="middle">1.14 (0.45&#x2013;2.89)</td>
</tr>
<tr>
<td align="left" valign="middle">Categorical: &#x003E;25&#x202F;ng/mL</td>
<td align="center" valign="middle"><bold>2.38 (1.26&#x2013;4.52)</bold></td>
<td align="center" valign="middle">1.46 (0.84&#x2013;2.54)</td>
<td align="center" valign="middle">1.26 (0.62&#x2013;2.57)</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous (per 5&#x202F;ng/mL): 15&#x202F;~&#x202F;25&#x202F;ng/mL</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">Ref.</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous (per 5&#x202F;ng/mL): &#x003C;20&#x202F;ng/mL</td>
<td align="center" valign="middle"><bold>1.22 (1.06&#x2013;1.40)</bold></td>
<td align="center" valign="middle"><bold>1.15 (1.02&#x2013;1.30)</bold></td>
<td align="center" valign="middle">1.01 (0.87&#x2013;1.18)</td>
</tr>
<tr>
<td align="left" valign="middle">Continuous (per 5&#x202F;ng/mL): &#x003E;25&#x202F;ng/mL</td>
<td align="center" valign="middle"><bold>1.18 (1.04&#x2013;1.34)</bold></td>
<td align="center" valign="middle"><bold>1.10 (1.00.&#x2013;1.22)</bold></td>
<td align="center" valign="middle">1.04 (0.91&#x2013;1.19)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>p</italic> for non-linearity</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Covariates adjusted for in multivariate analysis included season of birth, sex of the newborn, maternal allergy, household pet ownership, pre-pregnancy smoking, antibiotic use during pregnancy, birth weight, APGAR score, maternal BMI, maternal age.</p>
<p>Bold values: <italic>p</italic> &#x003C; 0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<label>3.3</label>
<title>Genetic polymorphisms and food allergy susceptibility</title>
<p>Among five genetic loci analyzed, rs569108 (MS4A2 gene) demonstrated a significant association with food allergy under the dominant model (GG vs. AA+AG: adjusted OR&#x202F;=&#x202F;1.68, 95% CI: 1.13&#x2013;2.49, <italic>p</italic>&#x202F;=&#x202F;0.011). No significant associations were observed for rs2243250 (IL-4), rs1801275 (IL-4R), rs1295686 (IL13), or rs20541 (IL13) in either dominant or recessive models after covariate adjustment. However, rs2243250 (IL-4) exhibited a trend toward reduced allergy risk in the dominant model (TT vs. TC+CC: adjusted OR&#x202F;=&#x202F;0.59, 95% CI: 0.34&#x2013;1.03, <italic>p</italic>&#x202F;=&#x202F;0.062) (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Analysis of 0&#x2013;24&#x202F;month food allergy susceptibility based on the genotype and locus genetic model.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th colspan="3" align="left" valign="top">Food allergy</th>
<th align="center" valign="top" colspan="2">Univariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th align="left" valign="top">SNPs</th>
<th align="center" valign="top" colspan="2">Genotype/Genetic model</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="7">rs2243250 (IL-4 gene)</td>
<td align="center" valign="middle" colspan="2">CC</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">TC</td>
<td align="center" valign="middle">1.02 (0.33, 3.16)</td>
<td align="center" valign="middle">0.464</td>
<td align="center" valign="middle">0.87 (0.27, 2.78)</td>
<td align="center" valign="middle">0.62</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">TT</td>
<td align="center" valign="middle">0.61 (0.20, 1.87)</td>
<td align="center" valign="middle">0.146</td>
<td align="center" valign="middle">0.52 (0.17, 1.64)</td>
<td align="center" valign="middle">0.103</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Dominant model</td>
<td align="center" valign="middle">TC+CC</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">TT</td>
<td align="center" valign="middle">0.61 (0.36, 1.02)</td>
<td align="center" valign="middle">0.06</td>
<td align="center" valign="middle">0.59 (0.34, 1.03)</td>
<td align="center" valign="middle">0.062</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Recessive model</td>
<td align="center" valign="middle">CC</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">TT+TC</td>
<td align="center" valign="middle">0.74 (0.25, 2.20)</td>
<td align="center" valign="middle">0.589</td>
<td align="center" valign="middle">0.64 (0.21, 1.95)</td>
<td align="center" valign="middle">0.43</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="10">rs1801275 (IL_4R gene)</td>
<td align="center" valign="middle" colspan="2">AA</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">AG</td>
<td align="center" valign="middle">0.89 (0.57, 1.39)</td>
<td align="center" valign="middle">0.551</td>
<td align="center" valign="middle">0.78 (0.49, 1.26)</td>
<td align="center" valign="middle">0.759</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">GG</td>
<td align="center" valign="middle">0.48 (0.11, 2.17)</td>
<td align="center" valign="middle">0.376</td>
<td align="center" valign="middle">0.47 (0.10, 2.18)</td>
<td align="center" valign="middle">0.415</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Dominant model</td>
<td align="center" valign="middle">AA+AG</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">GG</td>
<td align="center" valign="middle">0.50 (0.11, 2.24)</td>
<td align="center" valign="middle">0.362</td>
<td align="center" valign="middle">0.50 (0.11, 2.33)</td>
<td align="center" valign="middle">0.38</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Recessive model</td>
<td align="center" valign="middle">AA</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">GG+AG</td>
<td align="center" valign="middle">0.86 (0.55, 1.32)</td>
<td align="center" valign="middle">0.482</td>
<td align="center" valign="middle">0.75 (0.47, 1.20)</td>
<td align="center" valign="middle">0.231</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">CC</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">TC</td>
<td align="center" valign="middle">1.20 (0.58, 2.49)</td>
<td align="center" valign="middle">0.343</td>
<td align="center" valign="middle">1.41 (0.62, 3.19)</td>
<td align="center" valign="middle">0.215</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">TT</td>
<td align="center" valign="middle">0.91 (0.43, 1.91)</td>
<td align="center" valign="middle">0.45</td>
<td align="center" valign="middle">1.03 (0.45, 2.36)</td>
<td align="center" valign="middle">0.608</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="7">rs1295686 (IL13 gene)</td>
<td align="center" valign="middle" rowspan="2">Dominant model</td>
<td align="center" valign="middle">CC</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">TT vs. TC</td>
<td align="center" valign="middle">0.78 (0.51, 1.19)</td>
<td align="center" valign="middle">0.246</td>
<td align="center" valign="middle">0.77 (0.50, 1.21)</td>
<td align="center" valign="middle">0.257</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Recessive model</td>
<td align="center" valign="middle">CC</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">TT+TC</td>
<td align="center" valign="middle">1.05 (0.52, 2.12)</td>
<td align="center" valign="middle">0.893</td>
<td align="center" valign="middle">1.21 (0.55, 2.67)</td>
<td align="center" valign="middle">0.628</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">AA</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">AG</td>
<td align="center" valign="middle">1.37 (0.89, 2.12)</td>
<td align="center" valign="middle">0.189</td>
<td align="center" valign="middle">1.43 (0.90, 2.27)</td>
<td align="center" valign="middle">0.096</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">GG</td>
<td align="center" valign="middle">0.99 (0.46, 2.12)</td>
<td align="center" valign="middle">0.645</td>
<td align="center" valign="middle">0.83 (0.35, 1.96)</td>
<td align="center" valign="middle">0.387</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="7">rs20541 (IL13 gene)</td>
<td align="center" valign="middle" rowspan="2">Dominant model</td>
<td align="center" valign="middle">AA+AG</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">GG</td>
<td align="center" valign="middle">0.83 (0.40, 1.72)</td>
<td align="center" valign="middle">0.623</td>
<td align="center" valign="middle">0.69 (0.30, 1.56)</td>
<td align="center" valign="middle">0.374</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Recessive model</td>
<td align="center" valign="middle">AA</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">GG+AG</td>
<td align="center" valign="middle">1.30 (0.85, 1.98)</td>
<td align="center" valign="middle">0.22</td>
<td align="center" valign="middle">1.32 (0.84, 2.06)</td>
<td align="center" valign="middle">0.224</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">AA</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">AG</td>
<td align="center" valign="middle">0.62 (0.21, 1.80)</td>
<td align="center" valign="middle">0.128</td>
<td align="center" valign="middle">0.58 (0.19, 1.72)</td>
<td align="center" valign="middle">0.085</td>
</tr>
<tr>
<td align="center" valign="middle" colspan="2">GG</td>
<td align="center" valign="middle">1.01 (0.36, 2.82)</td>
<td align="center" valign="middle">0.401</td>
<td align="center" valign="middle">1.03 (0.36, 2.93)</td>
<td align="center" valign="middle">0.315</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="4">rs569108 (MS4A2 gene)</td>
<td align="center" valign="middle" rowspan="2">Dominant model</td>
<td align="center" valign="middle">AA+AG</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">GG</td>
<td align="center" valign="middle"><bold>1.55 (1.06, 2.27)</bold></td>
<td align="center" valign="middle"><bold>0.024</bold></td>
<td align="center" valign="middle"><bold>1.68 (1.13, 2.49)</bold></td>
<td align="center" valign="middle"><bold>0.011</bold></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="2">Recessive model</td>
<td align="center" valign="middle">AA</td>
<td align="center" valign="middle">Ref.</td>
<td/>
<td align="center" valign="middle">Ref.</td>
<td/>
</tr>
<tr>
<td align="center" valign="middle">GG+AG</td>
<td align="center" valign="middle">0.88 (0.32, 2.46)</td>
<td align="center" valign="middle">0.808</td>
<td align="center" valign="middle">0.88 (0.31, 2.50)</td>
<td align="center" valign="middle">0.813</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Covariates adjusted for in multivariate analysis included season of birth, sex of the newborn, maternal allergy, household pet ownership, pre-pregnancy smoking, antibiotic use during pregnancy, birth weight, APGAR score, maternal BMI, maternal age.</p>
<p>Bold values: <italic>p</italic> &#x003C; 0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<label>3.4</label>
<title>Gene-vitamin D interaction effects</title>
<p>Stratified analyses revealed interactions between vitamin D levels and specific polymorphisms. For rs1801275 (IL-4R), infants with the AA genotype and low vitamin D (&#x003C;15&#x202F;ng/mL) had a significantly elevated allergy risk (adjusted OR&#x202F;=&#x202F;26.14, 95% CI: 2.56&#x2013;267.11, <italic>p</italic>&#x202F;=&#x202F;0.019). Similarly, rs20541 (IL13) GG genotype infants with low vitamin D showed significantly elevated risk (adjusted OR&#x202F;=&#x202F;6.51, 95% CI: 1.30&#x2013;32.60, <italic>p</italic>&#x202F;=&#x202F;0.025). Additionally, rs2243250 (IL-4) CC homozygotes with vitamin D deficiency exhibited elevated allergy risk (adjusted OR&#x202F;=&#x202F;4.13, 95% CI: 1.48&#x2013;11.57, <italic>p</italic>&#x202F;=&#x202F;0.007). Notably, in the reference vitamin D group (15&#x2013;25&#x202F;ng/mL), the rs569108 (MS4A2) GG genotype conferred protection against allergy (adjusted OR&#x202F;=&#x202F;0.55, 95% CI: 0.32&#x2013;0.94, <italic>p</italic>&#x202F;=&#x202F;0.016), but this effect was attenuated at high vitamin D levels (&#x003E;25&#x202F;ng/mL; adjusted OR&#x202F;=&#x202F;0.68, 95% CI: 0.37&#x2013;1.25, <italic>p</italic>&#x202F;=&#x202F;0.149) (<xref ref-type="table" rid="tab4">Table 4</xref>). The results of stratified analyses by genotype for all SNPs, evaluating both categorical and continuous vitamin D are comprehensively detailed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>. These interactions demonstrate that genetic susceptibility in Th2 pathway genes (IL4R, IL-4, IL13) dramatically amplifies food allergy risk under vitamin D deficiency, while MS4A2 variants modulate vitamin D&#x2019;s protective effects.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Analysis of the interaction of vitamin D and gene polymorphism on 0&#x2013;24&#x202F;month food allergy.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">SNPs</th>
<th align="center" valign="top" colspan="2" rowspan="2">Genetic model</th>
<th align="center" valign="top" rowspan="2">25(OH)D level</th>
<th align="center" valign="top" colspan="2">Univariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
<th align="center" valign="top" rowspan="2">Significant interaction</th>
</tr>
<tr>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="12">rs2243250 (IL-4 gene)</td>
<td align="center" valign="middle" rowspan="6">Dominant model</td>
<td align="center" valign="middle">TC+CC</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="middle">TC+CC</td>
<td align="center" valign="middle">&#x003C;15</td>
<td align="center" valign="middle">2.91 (0.88, 9.69)</td>
<td align="center" valign="middle">0.218</td>
<td align="center" valign="middle">3.34 (0.96, 11.65)</td>
<td align="center" valign="middle">0.058</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TC+CC</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.40 (0.82, 2.41)</td>
<td align="center" valign="middle">0.216</td>
<td align="center" valign="middle">1.28 (0.72, 2.28)</td>
<td align="center" valign="middle">0.404</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">1.08 (0.60, 1.95)</td>
<td align="center" valign="middle">0.785</td>
<td align="center" valign="middle">1.00 (0.54, 1.86)</td>
<td align="center" valign="middle">0.856</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT</td>
<td align="center" valign="middle">&#x003C;15</td>
<td align="center" valign="middle">3.26 (0.84, 12.74)</td>
<td align="center" valign="middle">0.089</td>
<td align="center" valign="middle">4.30 (0.84, 21.87)</td>
<td align="center" valign="middle">0.083</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.47 (0.77, 2.80)</td>
<td align="center" valign="middle">0.246</td>
<td align="center" valign="middle">1.29 (0.64, 2.60)</td>
<td align="center" valign="middle">0.477</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="6">Recessive model</td>
<td align="center" valign="middle">CC</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>CC</bold></td>
<td align="center" valign="middle"><bold>&#x003C;15</bold></td>
<td align="center" valign="middle"><bold>2.92 (1.12, 7.61)</bold></td>
<td align="center" valign="middle"><bold>0.028</bold></td>
<td align="center" valign="middle"><bold>4.13 (1.48, 11.57)</bold></td>
<td align="center" valign="middle"><bold>0.007</bold></td>
<td align="center" valign="middle"><bold>Yes</bold></td>
</tr>
<tr>
<td align="center" valign="middle">CC</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.41 (0.91, 2.19)</td>
<td align="center" valign="middle">0.126</td>
<td align="center" valign="middle">1.26 (0.79, 2.02)</td>
<td align="center" valign="middle">0.341</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT+TC</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">1.24 (0.39, 3.94)</td>
<td align="center" valign="middle">0.723</td>
<td align="center" valign="middle">1.11 (0.33, 3.73)</td>
<td align="center" valign="middle">0.866</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT+TC</td>
<td align="center" valign="middle">&#x003C;15</td>
<td align="center" valign="middle">4.02 (0.25, 65.23)</td>
<td align="center" valign="middle">0.322</td>
<td align="center" valign="middle">3.64 (0.45, 32.47)</td>
<td align="center" valign="middle">0.482</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT+TC</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.34 (0.26, 6.81)</td>
<td align="center" valign="middle">0.730</td>
<td align="center" valign="middle">2.69 (0.47, 15.49)</td>
<td align="center" valign="middle">0.265</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="11">rs1801275 (IL_4R gene)</td>
<td align="center" valign="middle" rowspan="5">Dominant model</td>
<td align="center" valign="middle">AA+AG</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="middle">AA+AG</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">0.19 (0.01, 2.50)</td>
<td align="center" valign="middle">0.212</td>
<td align="center" valign="middle">0.13 (0.01, 1.76)</td>
<td align="center" valign="middle">0.123</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">GG</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">0.75 (0.15, 3.83)</td>
<td align="center" valign="middle">0.731</td>
<td align="center" valign="middle">0.59 (0.11, 3.15)</td>
<td align="center" valign="middle">0.538</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">GG</td>
<td align="center" valign="middle">&#x003C;15</td>
<td align="center" valign="middle">2.25 (0.37, 13.87)</td>
<td align="center" valign="middle">0.380</td>
<td align="center" valign="middle">2.15 (0.32, 14.52)</td>
<td align="center" valign="middle">0.431</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">GG</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.11 (0.22, 5.70)</td>
<td align="center" valign="middle">0.899</td>
<td align="center" valign="middle">0.83 (0.15, 4.48)</td>
<td align="center" valign="middle">0.832</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="6">Recessive model</td>
<td align="center" valign="middle">AA</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>AA</bold></td>
<td align="center" valign="middle"><bold>&#x003C;15</bold></td>
<td align="center" valign="middle"><bold>25.28 (2.78, 229.45)</bold></td>
<td align="center" valign="middle"><bold>0.011</bold></td>
<td align="center" valign="middle"><bold>26.14 (2.56, 267.11)</bold></td>
<td align="center" valign="middle"><bold>0.019</bold></td>
<td align="center" valign="middle"><bold>Yes</bold></td>
</tr>
<tr>
<td align="center" valign="middle">AA</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.62 (0.76, 3.45)</td>
<td align="center" valign="middle">0.208</td>
<td align="center" valign="middle">1.57 (0.71, 3.50)</td>
<td align="center" valign="middle">0.266</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">GG+AG</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">1.45 (0.79, 2.68)</td>
<td align="center" valign="middle">0.233</td>
<td align="center" valign="middle">1.66 (0.87, 3.17)</td>
<td align="center" valign="middle">0.123</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">GG+AG</td>
<td align="center" valign="middle">&#x003C;15</td>
<td align="center" valign="middle">1.84 (0.53, 6.42)</td>
<td align="center" valign="middle">0.337</td>
<td align="center" valign="middle">2.93 (0.78, 11.03)</td>
<td align="center" valign="middle">0.112</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">GG+AG</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.87 (0.98, 3.57)</td>
<td align="center" valign="middle">0.058</td>
<td align="center" valign="middle">1.94 (0.98, 3.84)</td>
<td align="center" valign="middle">0.059</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="12">rs1295686 (IL13 gene)</td>
<td align="center" valign="middle" rowspan="6">Dominant model</td>
<td align="center" valign="middle">TC+CC</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="middle">TC+CC</td>
<td align="center" valign="middle">&#x003C;15</td>
<td align="center" valign="middle">1.91 (0.54, 6.81)</td>
<td align="center" valign="middle">0.319</td>
<td align="center" valign="middle">2.88 (0.75, 11.01)</td>
<td align="center" valign="middle">0.126</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TC+CC</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">0.90 (0.45, 1.80)</td>
<td align="center" valign="middle">0.765</td>
<td align="center" valign="middle">0.98 (0.47, 2.03)</td>
<td align="center" valign="middle">0.955</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">0.93 (0.53, 1.65)</td>
<td align="center" valign="middle">0.796</td>
<td align="center" valign="middle">1.09 (0.60, 1.97)</td>
<td align="center" valign="middle">0.778</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle"><bold>TT</bold></td>
<td align="center" valign="middle"><bold>&#x003C;15</bold></td>
<td align="center" valign="middle"><bold>4.78 (1.20, 18.97)</bold></td>
<td align="center" valign="middle"><bold>0.027</bold></td>
<td align="center" valign="middle"><bold>5.96 (1.21, 29.43)</bold></td>
<td align="center" valign="middle"><bold>0.028</bold></td>
<td align="center" valign="middle"><bold>Yes</bold></td>
</tr>
<tr>
<td align="center" valign="middle">TT</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.71 (0.96, 3.05)</td>
<td align="center" valign="middle">0.068</td>
<td align="center" valign="middle">1.65 (0.88, 3.07)</td>
<td align="center" valign="middle">0.122</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="6">Recessive model</td>
<td align="center" valign="middle">CC</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">Ref.</td>
<td align="center" valign="middle">&#x2013;</td>
<td align="center" valign="middle">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="middle">CC</td>
<td align="center" valign="middle">&#x003C;15</td>
<td align="center" valign="middle">2.07 (0.74, 5.85)</td>
<td align="center" valign="middle">0.168</td>
<td align="center" valign="middle">2.53 (0.86, 7.49)</td>
<td align="center" valign="middle">0.092</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">CC</td>
<td align="center" valign="middle">&#x003E;25</td>
<td align="center" valign="middle">1.34 (0.85, 2.10)</td>
<td align="center" valign="middle">0.208</td>
<td align="center" valign="middle">1.21 (0.75, 1.96)</td>
<td align="center" valign="middle">0.443</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT+TC</td>
<td align="center" valign="middle">15&#x202F;~&#x202F;25</td>
<td align="center" valign="middle">0.61 (0.20, 1.82)</td>
<td align="center" valign="middle">0.377</td>
<td align="center" valign="middle">0.53 (0.17, 1.62)</td>
<td align="center" valign="middle">0.265</td>
<td align="center" valign="middle">No</td>
</tr>
<tr>
<td align="center" valign="middle">TT+TC</td>
<td align="center" valign="middle">&#x003C;15</td>
<td align="center" valign="middle">1.68 (0.90, 3.14)</td>
<td align="center" valign="middle">0.104</td>
<td align="center" valign="middle">1.93 (0.99, 3.75)</td>
<td align="center" valign="middle">0.054</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">TT+TC</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">1.27 (0.39, 4.08)</td>
<td align="center" valign="top">0.692</td>
<td align="center" valign="top">1.16 (0.29, 4.65)</td>
<td align="center" valign="top">0.833</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="12">rs20541 (IL13 gene)</td>
<td align="center" valign="top" rowspan="6">Dominant model</td>
<td align="center" valign="top">AA+AG</td>
<td align="center" valign="top">15&#x202F;~&#x202F;25</td>
<td align="center" valign="top">Ref.</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">Ref.</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">AA+AG</td>
<td align="center" valign="top">&#x003C;15</td>
<td align="center" valign="top">0.67 (0.06, 8.06)</td>
<td align="center" valign="top">0.756</td>
<td align="center" valign="top">1.03 (0.10, 11.12)</td>
<td align="center" valign="top">0.979</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">AA+AG</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">2.56 (0.50, 13.22)</td>
<td align="center" valign="top">0.259</td>
<td align="center" valign="top">2.60 (0.43, 15.88)</td>
<td align="center" valign="top">0.293</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">GG</td>
<td align="center" valign="top">15&#x202F;~&#x202F;25</td>
<td align="center" valign="top">2.23 (0.65, 7.65)</td>
<td align="center" valign="top">0.205</td>
<td align="center" valign="top">2.61 (0.74, 9.20)</td>
<td align="center" valign="top">0.137</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top"><bold>GG</bold></td>
<td align="center" valign="top"><bold>&#x003C;15</bold></td>
<td align="center" valign="top"><bold>4.55 (0.96, 21.56)</bold></td>
<td align="center" valign="top"><bold>0.062</bold></td>
<td align="center" valign="top"><bold>6.51 (1.30, 32.60)</bold></td>
<td align="center" valign="top"><bold>0.025</bold></td>
<td align="center" valign="top"><bold>Yes</bold></td>
</tr>
<tr>
<td align="center" valign="top">GG</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">2.95 (0.85, 10.25)</td>
<td align="center" valign="top">0.092</td>
<td align="center" valign="top">3.15 (0.88, 11.21)</td>
<td align="center" valign="top">0.076</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top" rowspan="6">Recessive model</td>
<td align="center" valign="top">AA</td>
<td align="center" valign="top">15&#x202F;~&#x202F;25</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">AA</td>
<td align="center" valign="top">&#x003C;15</td>
<td align="center" valign="top">0.56 (0.11, 2.83)</td>
<td align="center" valign="top">0.506</td>
<td align="center" valign="top">0.90 (0.16, 5.16)</td>
<td align="center" valign="top">0.904</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">AA</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">0.88 (0.55, 1.40)</td>
<td align="center" valign="top">0.597</td>
<td align="center" valign="top">0.73 (0.45, 1.21)</td>
<td align="center" valign="top">0.219</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top"><bold>GG+AG</bold></td>
<td align="center" valign="top"><bold>15&#x202F;~&#x202F;25</bold></td>
<td align="center" valign="top"><bold>0.58 (0.37, 0.93)</bold></td>
<td align="center" valign="top"><bold>0.073</bold></td>
<td align="center" valign="top"><bold>0.53 (0.33, 0.86)</bold></td>
<td align="center" valign="top"><bold>0.022</bold></td>
<td align="center" valign="top"><bold>Yes</bold></td>
</tr>
<tr>
<td align="center" valign="top">GG+AG</td>
<td align="center" valign="top">&#x003C;15</td>
<td align="center" valign="top">1.25 (0.42, 3.76)</td>
<td align="center" valign="top">0.457</td>
<td align="center" valign="top">1.38 (0.45, 4.23)</td>
<td align="center" valign="top">0.415</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">GG+AG</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">1.31 (0.79, 2.17)</td>
<td align="center" valign="top">0.105</td>
<td align="center" valign="top">1.29 (0.76, 2.20)</td>
<td align="center" valign="top">0.204</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="11">rs569108 (MS4A2 gene)</td>
<td align="center" valign="top" rowspan="6">Dominant model</td>
<td align="center" valign="top">AA+AG</td>
<td align="center" valign="top">15&#x202F;~&#x202F;25</td>
<td align="center" valign="top">Ref.</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">Ref.</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">AA+AG</td>
<td align="center" valign="top">&#x003C;15</td>
<td align="center" valign="top">0.66 (0.21, 2.15)</td>
<td align="center" valign="top">0.414</td>
<td align="center" valign="top">0.82 (0.24, 2.78)</td>
<td align="center" valign="top">0.659</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">AA+AG</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">1.35 (0.88, 2.05)</td>
<td align="center" valign="top">0.185</td>
<td align="center" valign="top">1.27 (0.81, 1.99)</td>
<td align="center" valign="top">0.371</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top"><bold>GG</bold></td>
<td align="center" valign="top"><bold>15&#x202F;~&#x202F;25</bold></td>
<td align="center" valign="top"><bold>0.59 (0.35, 0.99)</bold></td>
<td align="center" valign="top"><bold>0.038</bold></td>
<td align="center" valign="top"><bold>0.55 (0.32, 0.94)</bold></td>
<td align="center" valign="top"><bold>0.016</bold></td>
<td align="center" valign="top"><bold>Yes</bold></td>
</tr>
<tr>
<td align="center" valign="top">GG</td>
<td align="center" valign="top">&#x003C;15</td>
<td align="center" valign="top">2.43 (0.53, 11.13)</td>
<td align="center" valign="top">0.172</td>
<td align="center" valign="top">3.12 (0.66, 14.72)</td>
<td align="center" valign="top">0.095</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">GG</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">0.80 (0.45, 1.42)</td>
<td align="center" valign="top">0.404</td>
<td align="center" valign="top">0.68 (0.37, 1.25)</td>
<td align="center" valign="top">0.149</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top" rowspan="5">Recessive model</td>
<td align="center" valign="top">AA</td>
<td align="center" valign="top">15&#x202F;~&#x202F;25</td>
<td align="center" valign="top">Ref.</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">Ref.</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">AA</td>
<td align="center" valign="top">&#x003C;15</td>
<td align="center" valign="top">1.21 (0.49, 2.97)</td>
<td align="center" valign="top">0.684</td>
<td align="center" valign="top">1.58 (0.62, 4.05)</td>
<td align="center" valign="top">0.336</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">AA</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">1.32 (0.92, 1.90)</td>
<td align="center" valign="top">0.136</td>
<td align="center" valign="top">1.24 (0.85, 1.81)</td>
<td align="center" valign="top">0.270</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">GG+AG</td>
<td align="center" valign="top">15&#x202F;~&#x202F;25</td>
<td align="center" valign="top">1.06 (0.26, 4.32)</td>
<td align="center" valign="top">0.812</td>
<td align="center" valign="top">1.05 (0.26, 4.35)</td>
<td align="center" valign="top">0.766</td>
<td align="center" valign="top">No</td>
</tr>
<tr>
<td align="center" valign="top">GG+AG</td>
<td align="center" valign="top">&#x003E;25</td>
<td align="center" valign="top">1.59 (0.35, 7.23)</td>
<td align="center" valign="top">0.677</td>
<td align="center" valign="top">1.53 (0.33, 7.23)</td>
<td align="center" valign="top">0.760</td>
<td align="center" valign="top">No</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Covariates adjusted for in multivariate analysis included season of birth, sex of the newborn, maternal allergy, household pet ownership, pre-pregnancy smoking, antibiotic use during pregnancy, birth weight, APGAR score, maternal BMI, maternal age.</p>
<p>Bold values: <italic>p</italic> &#x003C; 0.05.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<label>4</label>
<title>Discussion</title>
<p>This prospective birth cohort study provides novel insights into the complex relationship between early-life vitamin D exposure, genetic susceptibility, and childhood allergy development. As visualized in <xref ref-type="fig" rid="fig2">Figure 2</xref>, the U-shaped relationship between cord blood 25(OH)D and food allergy risk was statistically robust (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001 for non-linearity) during infancy, echoing prior reports of non-linear vitamin D effects on respiratory sensitization (<xref ref-type="bibr" rid="ref32">32</xref>). However, our study extends this paradigm in three key dimensions: First, our U-shaped risk curve reflects dual genetic modulation: (i) risk amplification via Th2-pathway variants (IL4R/IL-4/IL13) under low vitamin D; (ii) protection attenuation in Fc&#x03B5;RI&#x03B2; (MS4A2) carriers at high vitamin D. Second, we establish this U-shaped relationship for clinically confirmed food allergy&#x2014;a distinct phenotype from respiratory outcomes. Third, we reveal temporal dynamics: vitamin D&#x2019;s protective effects attenuate by 24&#x202F;months, suggesting critical developmental windows for intervention. While prior studies predominantly emphasize vitamin D deficiency as a risk amplifier for allergic disorders (<xref ref-type="bibr" rid="ref5">5</xref>), our observation of heightened FA susceptibility at both low [25(OH)D &#x003C;15&#x202F;ng/mL] and elevated [25(OH)D &#x003E;25&#x202F;ng/mL] vitamin D levels challenges the linear &#x201C;deficiency-risk&#x201D; paradigm. This aligns with emerging evidence suggesting that excessive vitamin D may paradoxically impair immune tolerance by over-suppressing Th1/Th2 balance (<xref ref-type="bibr" rid="ref16">16</xref>), though contrasting with reports advocating higher postnatal vitamin D supplementation for allergy prevention (<xref ref-type="bibr" rid="ref20">20</xref>). Our observation of a U-shaped relationship between cord blood 25(OH)D and clinical food allergy contrasts with null findings for food sensitization in the Danish COPSAC2000 cohort (<xref ref-type="bibr" rid="ref12">12</xref>), where vitamin D deficiency (&#x003C;50&#x202F;nmol/L [20&#x202F;ng/mL]) only associated with respiratory outcomes. This discrepancy may reflect key methodological differences: (i) COPSAC assessed IgE sensitization rather than clinically confirmed food allergy; (ii) their cohort had substantially lower mean cord 25(OH)D (12.9&#x202F;ng/mL) with minimal high-exposure representation (&#x003C;1.5%&#x202F;&#x003E;&#x202F;30&#x202F;ng/mL), potentially limiting detection of non-linear effects; and (iii) population-specific genetic/epigenetic factors may modulate vitamin D&#x2019;s immunoregulatory effects. Importantly, our gene&#x2013;environment interaction analyses suggest vitamin D&#x2019;s impact is modified by genetic susceptibility, a dimension absent in prior null reports.</p>
<p>The gene&#x2013;environment interactions we identified reveal a triad of Th2-sensitizing genotypes&#x2014;IL4R rs1801275 AA, IL-4 rs2243250 CC, and IL13 rs20541 GG&#x2014;that confer 4- to 26-fold elevated food allergy risk under vitamin D deficiency. This synergistic effect aligns with vitamin D&#x2019;s role in suppressing IL-4/STAT6 signaling and Th2 differentiation via VDR-mediated chromatin remodeling (<xref ref-type="bibr" rid="ref6">6</xref>). Our observation that deficiency overrides this suppression in specific genotypes suggests certain variants may create a &#x201C;genetic vulnerability window&#x201D; during fetal immune programming. This contrasts with studies where vitamin D supplementation mitigated allergy risk even in high-risk genotypes (<xref ref-type="bibr" rid="ref6">6</xref>), highlighting the need for genotype-stratified intervention trials. Our results suggest that vitamin D sufficiency may be particularly critical for children with genetic variants predisposing to enhanced Th2 responses, potentially through restoration of immune balance between regulatory T cells and Th2 effectors. Unlike the uniformly risk-amplifying effects of Th2-pathway variants (IL4R/IL-4/IL13) under vitamin D deficiency, MS4A2&#x2019;s role is protective and vitamin D-dependent.</p>
<p>The dual role of MS4A2 (rs569108) in vitamin D-dependent allergy modulation refines our understanding of genetic regulation in IgE-mediated responses. MS4A2 encodes the <italic>&#x03B2;</italic>-chain of the high-affinity IgE receptor (Fc&#x03B5;RI&#x03B2;) (<xref ref-type="bibr" rid="ref23">23</xref>), a key amplifier of mast cell signaling. Contrary to initial hypotheses, we observed that the GG genotype conferred significant protection against allergy at reference vitamin D levels (15&#x2013;25&#x202F;ng/mL; adjusted OR&#x202F;=&#x202F;0.55, <italic>p</italic>&#x202F;=&#x202F;0.016), suggesting Fc&#x03B5;RI&#x03B2; may participate in vitamin D-mediated tolerance induction. However, this protective effect was attenuated at high vitamin D levels (&#x003E;25&#x202F;ng/mL; OR&#x202F;=&#x202F;0.68, <italic>p</italic>&#x202F;=&#x202F;0.149), indicating a therapeutic ceiling for supplementation in GG carriers. Notably, the absence of risk amplification under vitamin D deficiency (OR&#x202F;=&#x202F;3.12, <italic>p</italic>&#x202F;=&#x202F;0.095) diverges from Th2 gene interactions but aligns with vitamin D&#x2019;s dose-dependent suppression of Fc&#x03B5;RI&#x03B2; expression (<xref ref-type="bibr" rid="ref20">20</xref>). This complex gene&#x2013;environment interplay underscores that genetic effects on IgE pathways are contextually modified by vitamin D status. Thus, while our U-shaped association aligns with broader evidence of vitamin D&#x2019;s dual immunomodulatory roles, the discovery of genotype-dependent risk thresholds and age-specific susceptibility windows provides unprecedented mechanistic and translational insights for allergy prevention in genetically predisposed infants.</p>
<p>The transient nature of vitamin D&#x2019;s protective effects&#x2014;strongest at 6&#x2013;12&#x202F;months but diminishing by 24&#x202F;months&#x2014;echoes murine models where neonatal dendritic cell programming by vitamin D dictates long-term immune trajectories (<xref ref-type="bibr" rid="ref9">9</xref>), yet diverges from birth cohort studies reporting persistent vitamin D-FA associations beyond infancy (<xref ref-type="bibr" rid="ref12">12</xref>). The temporal pattern of vitamin D&#x2019;s protective effects aligns with emerging concepts of developmental immunotoxicity windows. Experimental models demonstrate that vitamin D regulates neonatal dendritic cell function and gut barrier integrity during critical periods of microbial colonization (<xref ref-type="bibr" rid="ref33">33</xref>). Our observation that vitamin D insufficiency during this period correlates with persistent food allergy risk underscores the importance of prenatal and perinatal vitamin D optimization, particularly given the rapid placental transfer of 25(OH)D during late gestation.</p>
<p>Notably, our finding of increased allergy risk at cord blood 25(OH)D levels &#x003E;25&#x202F;ng/mL warrants careful consideration. This aligns with findings from the Boston Birth Cohort, which indicated that persistently low vitamin D status at birth and in early childhood increased the risk of food sensitization, particularly among children with specific genetic susceptibilities (<xref ref-type="bibr" rid="ref34">34</xref>). While the Institute of Medicine defines 20&#x202F;ng/mL as sufficient for bone health (<xref ref-type="bibr" rid="ref23">23</xref>), our data suggest potential immune system hypersensitivity to higher concentrations (<xref ref-type="bibr" rid="ref35">35</xref>). The immunomodulatory effects of vitamin D are further illustrated by its impact on regulatory T cells (Tregs), which play a crucial role in maintaining immune tolerance (<xref ref-type="bibr" rid="ref35">35</xref>). A study investigating the Urban Environment and Childhood Asthma cohort found that higher cord blood 25(OH)D concentrations were inversely related to the number of Tregs, suggesting that elevated vitamin D levels might reduce the capacity for immune regulation, thereby increasing allergy risk (<xref ref-type="bibr" rid="ref36">36</xref>). This is supported by another study that found a negative correlation between cord blood 25(OH)D levels and Treg numbers, indicating that high vitamin D levels might impair the development of these critical immune cells (<xref ref-type="bibr" rid="ref11">11</xref>). Such alterations in immune cell populations could contribute to the increased risk of food allergies observed at elevated vitamin D levels. Moreover, the role of vitamin D in allergy development is complicated by genetic factors. Polymorphisms affecting vitamin D-binding protein (DBP) can modify the relationship between serum vitamin D levels and food allergy risk. A study found that genetic variations leading to lower DBP levels, which increase the bioavailability of vitamin D, could attenuate the association between low serum vitamin D levels and food allergy, suggesting that genetic factors may influence how vitamin D impacts immune responses (<xref ref-type="bibr" rid="ref37">37</xref>). Our observed U-shaped risk curve&#x2014;particularly the vulnerability at high vitamin D levels&#x2014;likely stems from genotype-dependent saturation of vitamin D receptor (VDR) signaling pathways, where excessive ligand promotes pathological immune remodeling in predisposed infants. This underscores that optimal vitamin D ranges for allergy prevention may be genotype-specific, with deficiency posing greater threat to Th2-sensitized infants. This genetic interplay highlights the complexity of vitamin D&#x2019;s role in allergy development and suggests that individual genetic makeup can significantly alter the effects of vitamin D on immune function. However, the biological plausibility of this U-shaped association requires further investigation through mechanistic studies.</p>
<p>Several limitations should be acknowledged. First, while we adjusted for key covariates (e.g., maternal allergy history, smoking, and antibiotic use), residual confounding by unmeasured environmental factors may influence observed associations, especially maternal dietary patterns during pregnancy (<xref ref-type="bibr" rid="ref38">38</xref>)&#x2014;such as intake of allergenic foods (e.g., peanuts, eggs) or micronutrients (e.g., omega-3 fatty acids)&#x2014;were not captured. Future studies should integrate dietary assessments to disentangle nutritional influences on fetal immune development. Second, the single-center design and ethnic homogeneity (Chinese Han population) may limit generalizability. Third, while cord blood 25(OH)D serves as a well-validated indicator of late-gestation fetal vitamin D exposure (<xref ref-type="bibr" rid="ref25">25</xref>), we lacked maternal prenatal or infant postnatal vitamin D measurements. This precludes analysis of how maternal status independently influences allergy risk or whether postnatal supplementation modifies associations observed at birth. Future studies integrating longitudinal maternal&#x2013;infant vitamin D trajectories would strengthen causal inference. Fourth, while our U-shaped association aligns with emerging evidence of vitamin D&#x2019;s dose-dependent immune effects, it diverges from cohorts with distinct genetic backgrounds or environmental exposures. Generalizability to populations with severe vitamin D insufficiency (e.g., high-latitude cohorts) requires verification. Future multi-ethnic cohorts with repeated vitamin D measurements and detailed immune profiling could address these limitations.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec18">
<title>Data availability statement</title>
<p>The data analyzed in this study was obtained from the Shanghai Allergy Cohort, the following restrictions apply: data sensitivity and institutional limitations. Requests to access these datasets should be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec19">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committees of both Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine and the International Maternal and Children Care Hospital (approval number: XHEC-C-2012-003). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>XW: Data curation, Formal analysis, Methodology, Project administration, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YC: Data curation, Investigation, Methodology, Supervision, Validation, Writing &#x2013; review &#x0026; editing, Project administration, Visualization. JP: Data curation, Investigation, Project administration, Supervision, Writing &#x2013; review &#x0026; editing, Validation, Visualization. BW: Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Writing &#x2013; review &#x0026; editing. YT: Conceptualization, Methodology, Project administration, Resources, Supervision, Writing &#x2013; review &#x0026; editing. JZ: Conceptualization, Methodology, Project administration, Resources, Supervision, Writing &#x2013; review &#x0026; editing. XY: Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Resources, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the National Key Research and Development Program of China (no. 2022YFC2705203), the Major Science and Technology Projects of Fujian Province (no. 2021YZ034011), the High-level Medical Introduction Teams in Fujian Province (no. RT2022-022), Clinical Research Center of ADHD affiliated with Pediatrics College, Shanghai Jiao Tong University School of Medicine (no. ELYZX202207).</p>
</sec>
<ack>
<p>We are extremely grateful to all the families who took part in this study, and the teachers and nurses for their help in recruiting them.</p>
</ack>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec23">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec24">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec25">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2025.1652487/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2025.1652487/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>25(OH)D, 25-hydroxyvitamin D; SNPs, single-nucleotide polymorphisms; SD, standard deviation; HWE, Hardy&#x2013;Weinberg equilibrium; ORs, odds ratios; CIs, confidence intervals; VD, Vitamin D.</p>
</fn>
</fn-group>
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