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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2021.736505</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association Between Neonatal Thyroid Function and Anogenital Distance from Birth to 48 Months of Age</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Luan</surname>
<given-names>Min</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Hong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1014087"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fang</surname>
<given-names>Guanghong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Ziliang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Su</surname>
<given-names>Xiujuan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1450895"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Aimin</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Miao</surname>
<given-names>Maohua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1393764"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>National Health Commission (NHC) Key Lab. of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), School of Public Health, Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>NHC Key Lab. of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Clinical Research Center, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania</institution>, <addr-line>Philadelphia, PA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Akira Sugawara, Tohoku University, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Toru Tateno, University of Alberta, Canada; Alexander M. Schreiber, St. Lawrence University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Maohua Miao, <email xlink:href="mailto:miaomaohua@live.com">miaomaohua@live.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Thyroid Endocrinology, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>09</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>736505</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>08</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Luan, Liang, Fang, Wang, Su, Chen, Miao and Yuan</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Luan, Liang, Fang, Wang, Su, Chen, Miao and Yuan</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>
<title>Background</title>
<p>Evidence from animal studies has indicated that neonatal thyroid function is vital for the reproductive development. Anogenital distance (AGD), a sensitive biomarker of the fetal hormonal milieu, can be used to predict adult reproductive disorders. However, few human studies have examined the association between neonatal thyroid function and AGD. We aimed to explore their associations in a birth cohort study.</p>
</sec>
<sec>
<title>Methods</title>
<p>Concentrations of thyroid stimulating hormone (TSH) and thyroid hormones (THs), including total triiodothyronine (TT<sub>3</sub>), total thyroxine (TT<sub>4</sub>), free triiodothyronine (FT<sub>3</sub>), and free thyroxine (FT<sub>4</sub>) were measured in cord plasma in the Shanghai-Minhang Birth Cohort. The offspring AGD (AGD<sub>AP</sub> [anus&#x2013;penis] and AGD<sub>AS</sub> [anus&#x2013;scrotum] for boys and AGD<sub>AC</sub> [anus&#x2013;clitoris] and AGD<sub>AF</sub> [anus&#x2013;fourchette] for girls), body weight and anogenital index (AGI = AGD/weight [mm/kg]) were obtained at each follow-up visit. In total, 344 children (194 boys and 150 girls) with cord plasma concentrations of THs and TSH and at least one AGD measurement at birth and at 6, 12, and 48 months of age were included. Multiple linear regression and generalized estimating equation (GEE) models were used to examine the associations of cord plasma concentrations of THs and TSH with AGI.</p>
</sec>
<sec>
<title>Results</title>
<p>Multiple linear regression models showed inverse associations of TT<sub>4</sub>, FT<sub>3</sub>, and FT<sub>4</sub> with female AGI, although statistical significance was only reached at birth, 6 and 48 months of age. These associations were also found in GEE models: higher TT<sub>4</sub> and FT<sub>4</sub> concentrations were associated with lower AGI<sub>AC</sub> (TT<sub>4</sub>: &#x3b2; = -0.27, 95% CI: -0.50, -0.03 for middle <italic>vs</italic>. lowest tertile; FT<sub>4</sub>: &#x3b2; = -0.38, 95% CI: -0.61, -0.16 for middle and &#x3b2; = -0.30, 95% CI: -0.55, -0.04 for highest <italic>vs</italic>. lowest tertile). Besides, girls with the highest tertile of FT<sub>3</sub> concentrations had lower AGI<sub>AF</sub> than those with the lowest tertile (the highest <italic>vs</italic>. lowest tertile: &#x3b2; = -0.22, 95% CI: -0.36, -0.08). Positive associations between TSH and AGI at birth and at 12 months of age were observed in boys.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This study provides further evidence on the effects of neonatal thyroid function on reproductive development at an early life stage.</p>
</sec>
</abstract>
<kwd-group>
<kwd>neonatal thyroid function</kwd>
<kwd>thyroid hormones</kwd>
<kwd>anogenital distance</kwd>
<kwd>anogenital index</kwd>
<kwd>cohort study</kwd>
</kwd-group>
<contract-num rid="cn001">2016YFC1000505</contract-num>
<contract-num rid="cn002">22076123, 81903346</contract-num>
<contract-num rid="cn003">20ZR1448000</contract-num>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Foundation for Innovative Research Groups of the National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100012659</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Science and Technology Commission of Shanghai Municipality<named-content content-type="fundref-id">10.13039/501100003399</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="11"/>
<word-count count="5522"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>1 Introduction</title>
<p>Accumulating evidence from animal studies has indicated that neonatal thyroid function influences gonadal differentiation and reproductive function (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). Administration of large doses of thyroxine to neonatal female rats has been shown to delay vaginal opening and first estrus (<xref ref-type="bibr" rid="B5">5</xref>). Neonatal 3,5,3&#x2019;-triiodothyronine excess in male rats was associated with a decrease in adult testis size (<xref ref-type="bibr" rid="B6">6</xref>), and might promote the apoptosis of germ cells in the neonatal testis (<xref ref-type="bibr" rid="B7">7</xref>). In humans, thyroid dysfunction is associated with decreased semen quality, decreased sexual activity, menstrual disturbances, and infertility (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). However, limited studies have evaluated the influence of thyroid function starting from birth on reproductive development since the information on reproductive development in early life is difficult to obtain, and decades may lapse between neonatal thyroid function and some manifest reproductive end points such as puberty development.</p>
<p>Anogenital distance (AGD), the distance from the center of the anus to the genital tubercle, has been widely recognized as a sensitive biomarker of the fetal hormonal milieu, and a measure of reproductive toxicity in animal models (<xref ref-type="bibr" rid="B12">12</xref>). Measurements of AGD at birth and during early childhood are also known to track through adulthood and can be used to predict various reproductive health disorders in adult humans (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Shorter AGD has been found to be associated with poor sperm quality (<xref ref-type="bibr" rid="B15">15</xref>), infertility (<xref ref-type="bibr" rid="B16">16</xref>), and lower testosterone concentrations (<xref ref-type="bibr" rid="B16">16</xref>) in men and associated with increased risk of endometriomas and deep infiltrating endometriosis in women (<xref ref-type="bibr" rid="B17">17</xref>). To date, only one human study has assessed the associations of thyroid stimulating hormone (TSH), free triiodothyronine (FT<sub>3</sub>), and free thyroxine (FT<sub>4</sub>) concentrations in umbilical cord serum with AGD at birth (<xref ref-type="bibr" rid="B18">18</xref>), indicating that thyroid function may be involved in male gonadal development in early life stages. However, its longitudinal effects at a later age are unknown.</p>
<p>In the present study, we examined the longitudinal associations between neonatal thyroid function, as reflected by the concentrations of TSH and thyroid hormones (THs, including total triiodothyronine (TT<sub>3</sub>), total thyroxine (TT<sub>4</sub>), FT<sub>3</sub>, and FT<sub>4</sub>)) in cord plasma, and repeated AGD measurements from birth to 48 months of age.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>2 Materials and Methods</title>
<sec id="s2_1">
<title>2.1 Study Design and Population</title>
<p>The Shanghai-Minhang Birth Cohort Study (S-MBCS) is an ongoing prospective cohort study designed to determine the distributions of a wide spectrum of maternal environmental exposures and examine their effects on pregnant women and their children (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). From April to December 2012, pregnant women were recruited during their first prenatal care visit (at&#xa0;12&#x2013;16 weeks of gestation) at Maternal and Child Health Hospital of Minhang district in Shanghai, China. Briefly, women were eligible for inclusion if they were registered residents of Shanghai, had no history of hospital-diagnosed chronic disease, planned to be deliver their baby in the study hospital, and were willing to attend specified interviews during pregnancy and after delivery. In total, 1,292 eligible pregnant women agreed to participate in this study and completed a structured questionnaire at enrollment.</p>
<p>At delivery, 1,225 participants gave singleton live births, including 667 (54.4%) boys and 558 (45.6%) girls. A total of 611 women voluntarily provided cord blood samples during delivery. Due to limited funding, concentrations of THs and TSH were measured in a subset of 348 cord blood samples of infants with complete information at delivery, sufficient cord plasma volume (&#x2265;1 ml), and at least one follow-up at 12 or 48 months of age. Among them, two AGD metrics were measured for 186, 153, 154, and 163 boys, and for 144, 115, 105, and 124 girls at birth, 6, 12 and 48 months of age, respectively. Ultimately, 344 children (194 boys and 150 girls) who both have cord plasma concentrations of THs and TSH and at least one AGD measurement at the four time points were included in the present study, as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study population of the present study from the Shanghai-Minhang Birth Cohort Study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-736505-g001.tif"/>
</fig>
<p>The study protocol was approved by the ethical committee of Shanghai Institute of Planned Parenthood Research. All women provided informed consent for themselves and their children before participating in the S-MBCS and postnatal follow-up visits.</p>
</sec>
<sec id="s2_2">
<title>2.2 Measurement of Neonatal Thyroid Function</title>
<p>Cord blood samples were collected from the umbilical vein at the time of birth. The samples were centrifuged to retrieve plasma, which was immediately frozen at &#x2212;80&#xb0;C until shipment to the clinical laboratory of the affiliated hospital of Shanghai Institute of Planned Parenthood Research for the measurement of THs and TSH concentrations. An Electrochemiluminescence immunoassay with kits obtained from Roche Cobas e601 analyzer was performed to measure the concentrations of TSH, TT<sub>4</sub>, FT<sub>4</sub>, TT<sub>3</sub>, and FT<sub>3</sub> (<xref ref-type="bibr" rid="B21">21</xref>). The analytical sensitivity was 0.3 nmol/L, 5.4 nmol/L, 0.4 pmol/L, 0.3 pmol/L, and 0.27 &#x3bc;IU/ml for TT<sub>3</sub>, TT<sub>4</sub>, FT<sub>3</sub>, FT<sub>4</sub>, and TSH, respectively. We also measured thyroid peroxidase antibody (TPOAb) concentration. TPOAb positivity was defined as a TPOAb concentration of &#x2265; 34 IU/L.</p>
</sec>
<sec id="s2_3">
<title>2.3 Measurement of AGD</title>
<p>The methods and procedures for the measurement of AGD have been described in detail elsewhere (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). In girls, AGD<sub>AC</sub> was measured from the center of the anus to the anterior surface of the clitoral hood, and AGD<sub>AF</sub> was measured from the center of the anus to the posterior end of the fourchette. In boys, AGD<sub>AP</sub> was measured from the center of the anus to the anterior base of the penis where the penile tissue met the pubic bone, and AGD<sub>AS</sub> was measured from the center of the anus to the posterior base of the scrotum where the skin changed from rugate to smooth. All&#xa0;children were placed in a dorsal decubitus position with both legs held back in a frog leg position to obtain accurate AGD measurements. Before each follow-up visit, we conducted standardized training to ensure the accuracy of AGD measurements. AGD measurements were conducted using the same Vernier caliper with increments of 0.1&#xa0;mm in children during their first 3 days of life and at 6 months &#xb1; 2 weeks, 12 months &#xb1; 2 weeks, and 48 months &#xb1; 2 weeks of age by the same four trained examiners. To evaluate the inter-examiner variability, two examiners took independent measurements on each newborn on the same day using the same method in 15 girls and 15 boys. The intra-class correlation coefficients of AGD<sub>AP</sub>, AGD<sub>AS</sub>, AGD<sub>AC</sub> and AGD<sub>AF</sub> were 0.836, 0.731, 0.624, and 0.722, respectively, indicating moderate-to-good inter-rater reliability for the AGD measurements (<xref ref-type="bibr" rid="B25">25</xref>). The examiners who participated in the AGD measurements had no knowledge regarding the neonatal THs or TSH concentrations.</p>
</sec>
<sec id="s2_4">
<title>2.4 Covariates</title>
<p>The demographic characteristics, health conditions, medical and reproductive histories, and lifestyle factors (e.g., smoking and drinking habits) of pregnant women and their partners were obtained at enrollment through a structured questionnaire. After delivery, information on infant sex, birth weight, date of birth, mode of delivery, and gestational age was extracted from the electronic medical records of the study hospitals. Feeding practices and additional information were obtained from questionnaires filled by the mother or another caregiver at each postnatal follow-up visit.</p>
</sec>
<sec id="s2_5">
<title>2.5 Statistical Analyses</title>
<p>The distributions of participant characteristics were summarized as mean (standard deviation, SD) for continuous variables or counts and percentages for categorical variables. The distributions of TT<sub>3</sub>, TT<sub>4</sub>, FT<sub>3</sub>, and FT<sub>4</sub> concentrations were normal, whereas that of TSH concentrations were skewed. Thus, TSH concentrations were log<sub>10</sub>-transformed for further analyses. Since AGD was reported to be dependent on body weight, we used the anogenital index [AGI = AGD/weight (mm/kg)] as a weight-normalized index of AGD, as reported previously (<xref ref-type="bibr" rid="B26">26</xref>). We also used mean (SD), and percentiles to describe the distributions of AGI at birth and at 6, 12, and 48 months of age and to describe the distributions of neonatal TT<sub>3</sub>, TT<sub>4</sub>, FT<sub>3</sub>, FT<sub>4</sub>, and TSH concentrations.</p>
<sec id="s2_5_1">
<title>2.5.1 Main Analyses of the Association Between Neonatal THs and TSH and AGI</title>
<p>A generalized additive model (GAM) was used to examine the nonlinearity assumptions between neonatal THs and log<sub>10</sub>-transformed TSH concentrations and AGI. As non-linear associations were observed from GAM, the concentrations of TT<sub>3</sub>, TT<sub>4</sub>, FT<sub>3</sub>, FT<sub>4</sub>, and log<sub>10</sub>-transformed TSH were treated as categorical variables (by tertiles) in the analyses. We first performed multiple linear regression models at each visit to assess the associations of THs and TSH concentrations with AGI.&#xa0;To take advantage of the longitudinal design and repeated&#xa0;measurements of AGD, generalized estimating equation (GEE) models were then applied to estimate &#x3b2; coefficients and 95% confidence intervals (CIs)&#xa0;for neonatal THs and TSH concentrations in relation to AGI after accounting for correlations of repeated AGD measures that had been obtained from four visits. We also added child age at follow-up into the GEE model and entered the interaction terms between THs and TSH concentrations (categorical) and child age (categorically) to assess differences in the associations over time. Since most interaction terms were not statistically significant (<italic>P</italic>&#xa0;&gt; 0.1, <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>), overall estimates were provided for AGI at 0&#x2013;4 years of age.</p>
<p>Potential confounders were selected based on prior knowledge (<xref ref-type="bibr" rid="B27">27</xref>) or the change-in-estimate principle. For the latter criterion, the covariates were also retained in the final analyses if they caused a &#x2265;10% change in the effect estimates for the associations of THs and TSH concentrations with AGI. Maternal education was also considered as a covariate since it is a good measure of socio-economic status (<xref ref-type="bibr" rid="B28">28</xref>) which can also indicate some often unobservable characteristics (<xref ref-type="bibr" rid="B29">29</xref>), and women&#x2019;s socio-economic status were associated with the health endpoints of children (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Potential confounders finally considered in the models were maternal age at conception (years), maternal education (high school or below/college or above), maternal pre-pregnancy body mass index (BMI: &lt;18.5, 18.5&#x2013;24, and &#x2265;24 kg/m<sup>2</sup>), maternal pre-pregnancy passive smoking (yes/no), paternal alcohol consumption before conception (yes/no), and gestational weeks (weeks).</p>
</sec>
<sec id="s2_5_2">
<title>2.5.2 Sensitivity Analyses</title>
<p>First, in addition to AGI, we used AGD as the dependent variable, and adjusted for weight-for-length z-scores in the GEE models to facilitate comparison with other studies (<xref ref-type="bibr" rid="B18">18</xref>). Second, TPOAb positivity is associated with a higher risk of developing autoimmune thyroiditis in children and adolescents (<xref ref-type="bibr" rid="B31">31</xref>), which may have adverse effects on reproductive outcomes (<xref ref-type="bibr" rid="B32">32</xref>). We thus excluded the subjects with TPOAb positivity (four girls and three boys) to test the robustness of the results. Third, to reduce the potential influence of incomplete neonatal thyroid development, we excluded subjects with gestational age &lt;37 weeks. In addition, considering the significant variation in neonatal TSH and THs concentrations across different modes of delivery and maternal BMI (<xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>), we re-ran the analyses in children who were delivered vaginally and whose mothers were of normal weight (18.5 &lt; BMI &lt; 24 kg/m<sup>2</sup>). We also re-ran the final analyses after excluding six children whose mothers reported prior or current diagnoses of any thyroid-related disease (e.g., autoimmune thyroid diseases, thyroid nodules, thyroid cancer, and thyroiditis)/any related medication use at enrollment to evaluate whether maternal thyroid-related disease/related medication use could affect the reliability of our results.</p>
<p>SAS 9.4 (SAS Institute Inc., Cary, NC, USA) was used for statistical analyses. A two-tailed value of&#xa0;<italic>p</italic>&#xa0;&lt;&#xa0;0.05 was considered statistically significant.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>3 Results</title>
<sec id="s3_1">
<title>3.1 Participant Characteristics</title>
<p>The characteristics of the 344 mother&#x2013;child pairs are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The mean (SD) age of mothers at conception was 28.09 (3.38) years and the mean (SD) gestational age was 39.67 (1.18) weeks. Most of mothers were Han Chinese (97.66%), nulliparous (86.88%), received a college degree or higher (78.13%), reported a monthly per capita household income &gt;4000 RMB (79.53%), and had normal weight before pregnancy (72.78%). In addition, 58.31% mothers reported that they were not exposed to passive smoking before pregnancy, and 67.44% fathers reported no alcohol consumption within 3 months before conception. All newborns had a normal 5-min Apgar score (&#x2265;8). There was no statistically significant difference in demographic characteristics between the included mother&#x2013;child pairs and those excluded (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S2</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Descriptive characteristics of the study participants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" align="center">All subjects </th>
<th valign="top" align="center">Girls (n=150)</th>
<th valign="top" align="center">Boys (n=194)</th>
</tr>
<tr>
<th valign="top" align="center">Mean (SD)/N (%)</th>
<th valign="top" align="center">Mean (SD)/N (%)</th>
<th valign="top" align="center">Mean (SD)/N (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Maternal age (years)</td>
<td valign="top" align="center">28.09 (3.38)</td>
<td valign="top" align="center">28.08 (2.97)</td>
<td valign="top" align="center">28.11 (3.67)</td>
</tr>
<tr>
<td valign="top" align="left">Gestational age (weeks)</td>
<td valign="top" align="center">39.67(1.18)</td>
<td valign="top" align="center">39.70 (1.15)</td>
<td valign="top" align="center">39.64 (1.2)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Pre-pregnancy body mass index (kg/m&#xb2;)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;18.5</td>
<td valign="top" align="center">68 (20.12)</td>
<td valign="top" align="center">29 (19.73)</td>
<td valign="top" align="center">39 (20.42)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;18.5-24</td>
<td valign="top" align="center">246 (72.78)</td>
<td valign="top" align="center">112 (76.19)</td>
<td valign="top" align="center">134 (70.16)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;24</td>
<td valign="top" align="center">24 (7.10)</td>
<td valign="top" align="center">6 (4.08)</td>
<td valign="top" align="center">18 (9.42)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Educational level</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High school or below</td>
<td valign="top" align="center">75 (21.87)</td>
<td valign="top" align="center">29 (19.33)</td>
<td valign="top" align="center">46 (23.83)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;College or above</td>
<td valign="top" align="center">268 (78.13)</td>
<td valign="top" align="center">121 (80.67)</td>
<td valign="top" align="center">147 (76.17)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Parity<sup>*</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Nulliparous</td>
<td valign="top" align="center">298 (86.88)</td>
<td valign="top" align="center">137 (91.33)</td>
<td valign="top" align="center">161 (83.42)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Multiparous</td>
<td valign="top" align="center">45 (13.12)</td>
<td valign="top" align="center">13 (8.67)</td>
<td valign="top" align="center">32 (16.58)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Race</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Han</td>
<td valign="top" align="center">334 (97.66)</td>
<td valign="top" align="center">145 (96.67)</td>
<td valign="top" align="center">189 (98.44)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Others</td>
<td valign="top" align="center">8 (2.34)</td>
<td valign="top" align="center">5 (3.33)</td>
<td valign="top" align="center">3 (1.56)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Family income per capita (RMB)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;4000</td>
<td valign="top" align="center">70 (20.47)</td>
<td valign="top" align="center">29 (19.33)</td>
<td valign="top" align="center">41 (21.35)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;4000-8000</td>
<td valign="top" align="center">151 (44.15)</td>
<td valign="top" align="center">70 (46.67)</td>
<td valign="top" align="center">81 (42.19)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;8000</td>
<td valign="top" align="center">121 (35.38)</td>
<td valign="top" align="center">51 (34)</td>
<td valign="top" align="center">70 (36.46)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Maternal pre-pregnancy passive smoking</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">143 (41.69)</td>
<td valign="top" align="center">66 (44.3)</td>
<td valign="top" align="center">77 (39.69)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">200 (58.31)</td>
<td valign="top" align="center">83 (55.7)</td>
<td valign="top" align="center">117 (60.31)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Paternal alcohol consumption before conception</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">112 (32.56)</td>
<td valign="top" align="center">46 (30.67)</td>
<td valign="top" align="center">66 (34.02)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">232 (67.44)</td>
<td valign="top" align="center">104 (69.33)</td>
<td valign="top" align="center">128 (65.98)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">5-min Apgar score</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;8</td>
<td valign="top" align="center">1 (0.29)</td>
<td valign="top" align="center">1 (0.67)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;9</td>
<td valign="top" align="center">341 (99.13)</td>
<td valign="top" align="center">149 (99.33)</td>
<td valign="top" align="center">192 (98.97)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;10</td>
<td valign="top" align="center">2 (0.53)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2 (1.03)</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Weight at corresponding ages</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Birth (g)</td>
<td valign="top" align="center">3449.38 (427.95)</td>
<td valign="top" align="center">3354 (423.6)</td>
<td valign="top" align="center">3523 (417.62)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6 months (kg)</td>
<td valign="top" align="center">8.44 (1.03)</td>
<td valign="top" align="center">7.96 (0.94)</td>
<td valign="top" align="center">8.80 (0.94)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;12 months (kg)</td>
<td valign="top" align="center">10.39 (1.12)</td>
<td valign="top" align="center">9.90 (0.99)</td>
<td valign="top" align="center">10.77 (1.08)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;48 months (kg)</td>
<td valign="top" align="center">17.94 (2.44)</td>
<td valign="top" align="center">17.41 (2.34)</td>
<td valign="top" align="center">18.34 (2.44)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Missing data: maternal education (n = 1), maternal pre-pregnancy BMI (n = 6), maternal passive smoking (n = 1), parity (n = 1), race (n=2), and family income per capita (n = 2).</p>
</fn>
<fn>
<p>
<sup>*</sup>Significance level of the chi-square test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>3.2 Distributions of AGI</title>
<p>All AGI measures were normally distributed. In girls, the mean (SD) AGI<sub>AC</sub> was 8.75 (1.26), 4.52 (0.92), 4.06 (0.73), and 3.25 (0.67) mm/kg and the mean (SD) AGI<sub>AF</sub> were 2.53 (0.70), 1.80 (0.58), 1.71 (0.52), and 1.78 (0.42) mm/kg at birth, 6 months of age, 12 months of age, and 48 months of age, respectively. In boys, the mean (SD) AGI<sub>AP</sub> was 11.73 (1.54), 7.50 (1.25), 6.49 (1.09), and 5.29 (0.68) mm/kg and the mean (SD) AGI<sub>AS</sub> was 4.32 (1.13), 3.10 (1.19), 2.79 (0.87), and 2.49 (0.53) mm/kg at birth, 6 months of age, 12 months of age, and 48 months of age, respectively (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The distributions of AGD from birth to 48 months of age are also shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S1</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Distributions of AGI and neonatal THs and TSH concentrations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" rowspan="2" align="center">Mean (SD)</th>
<th valign="top" colspan="5" align="center">Percentiles</th>
</tr>
<tr>
<th valign="top" align="center">Min</th>
<th valign="top" align="center">25th </th>
<th valign="top" align="center">50th </th>
<th valign="top" align="center">75th </th>
<th valign="top" align="center">Max</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="7" align="left">AGI<sub>AC</sub> (mm/kg)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Birth</td>
<td valign="top" align="center">8.75 (1.26)</td>
<td valign="top" align="center">5.85</td>
<td valign="top" align="center">7.90</td>
<td valign="top" align="center">8.63</td>
<td valign="top" align="center">9.44</td>
<td valign="top" align="center">13.37</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6 months</td>
<td valign="top" align="center">4.52 (0.92)</td>
<td valign="top" align="center">2.35</td>
<td valign="top" align="center">3.94</td>
<td valign="top" align="center">4.52</td>
<td valign="top" align="center">5.10</td>
<td valign="top" align="center">7.54</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;12 months</td>
<td valign="top" align="center">4.06 (0.73)</td>
<td valign="top" align="center">2.45</td>
<td valign="top" align="center">3.50</td>
<td valign="top" align="center">3.95</td>
<td valign="top" align="center">4.41</td>
<td valign="top" align="center">6.26</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;48 months</td>
<td valign="top" align="center">3.25 (0.67)</td>
<td valign="top" align="center">1.96</td>
<td valign="top" align="center">2.76</td>
<td valign="top" align="center">3.13</td>
<td valign="top" align="center">3.64</td>
<td valign="top" align="center">5.64</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">AGI<sub>AF</sub> (mm/kg)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Birth</td>
<td valign="top" align="center">2.53 (0.70)</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">2.09</td>
<td valign="top" align="center">2.63</td>
<td valign="top" align="center">2.99</td>
<td valign="top" align="center">4.32</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6 months</td>
<td valign="top" align="center">1.80 (0.58)</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">1.65</td>
<td valign="top" align="center">2.03</td>
<td valign="top" align="center">3.79</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;12 months</td>
<td valign="top" align="center">1.71 (0.52)</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">1.60</td>
<td valign="top" align="center">2.03</td>
<td valign="top" align="center">3.26</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;48 months</td>
<td valign="top" align="center">1.78 (0.42)</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.74</td>
<td valign="top" align="center">1.96</td>
<td valign="top" align="center">3.44</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">AGI<sub>AP</sub> (mm/kg)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Birth</td>
<td valign="top" align="center">11.73 (1.54)</td>
<td valign="top" align="center">8.58</td>
<td valign="top" align="center">10.42</td>
<td valign="top" align="center">11.72</td>
<td valign="top" align="center">12.72</td>
<td valign="top" align="center">16.23</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6 months</td>
<td valign="top" align="center">7.50 (1.25)</td>
<td valign="top" align="center">4.78</td>
<td valign="top" align="center">6.61</td>
<td valign="top" align="center">7.38</td>
<td valign="top" align="center">8.17</td>
<td valign="top" align="center">11.67</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;12 months</td>
<td valign="top" align="center">6.49 (1.09)</td>
<td valign="top" align="center">4.10</td>
<td valign="top" align="center">5.71</td>
<td valign="top" align="center">6.35</td>
<td valign="top" align="center">7.19</td>
<td valign="top" align="center">9.68</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;48 months</td>
<td valign="top" align="center">5.29 (0.68)</td>
<td valign="top" align="center">3.78</td>
<td valign="top" align="center">4.78</td>
<td valign="top" align="center">5.38</td>
<td valign="top" align="center">5.77</td>
<td valign="top" align="center">6.75</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">AGI<sub>AS</sub> (mm/kg)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Birth</td>
<td valign="top" align="center">4.32 (1.13)</td>
<td valign="top" align="center">1.89</td>
<td valign="top" align="center">3.49</td>
<td valign="top" align="center">4.22</td>
<td valign="top" align="center">4.92</td>
<td valign="top" align="center">7.91</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;6 months</td>
<td valign="top" align="center">3.10 (1.19)</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">2.23</td>
<td valign="top" align="center">3.05</td>
<td valign="top" align="center">3.92</td>
<td valign="top" align="center">6.25</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;12 months</td>
<td valign="top" align="center">2.79 (0.87)</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">2.28</td>
<td valign="top" align="center">2.74</td>
<td valign="top" align="center">3.26</td>
<td valign="top" align="center">5.28</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;48 months</td>
<td valign="top" align="center">2.49 (0.53)</td>
<td valign="top" align="center">1.52</td>
<td valign="top" align="center">2.08</td>
<td valign="top" align="center">2.44</td>
<td valign="top" align="center">2.84</td>
<td valign="top" align="center">4.22</td>
</tr>
<tr>
<td valign="top" align="left">TT<sub>3</sub> (nmol/L)</td>
<td valign="top" align="center">0.86 (0.16)</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">1.63</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TT<sub>4</sub> (nmol/L)</td>
<td valign="top" align="center">94.12 (26.63)</td>
<td valign="top" align="center">33.54</td>
<td valign="top" align="center">77.23</td>
<td valign="top" align="center">93.07</td>
<td valign="top" align="center">109.60</td>
<td valign="top" align="center">183.20</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FT<sub>3</sub> (pmol/L)</td>
<td valign="top" align="center">1.82 (0.37)</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">1.55</td>
<td valign="top" align="center">1.78</td>
<td valign="top" align="center">2.01</td>
<td valign="top" align="center">3.55</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FT<sub>4</sub> (pmol/L)</td>
<td valign="top" align="center">14.22 (1.94)</td>
<td valign="top" align="center">9.62</td>
<td valign="top" align="center">12.90</td>
<td valign="top" align="center">14.17</td>
<td valign="top" align="center">15.39</td>
<td valign="top" align="center">20.92</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TSH (uIU/mL)</td>
<td valign="top" align="center">6.47 (0.21) *</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">4.32</td>
<td valign="top" align="center">6.46</td>
<td valign="top" align="center">9.48</td>
<td valign="top" align="center">38.52</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*GM (GSD) Log<sub>10</sub>-transformed.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>3.3 Distributions and Determinants of THs and TSH</title>
<p>In all subjects, the mean concentrations of TT<sub>3</sub>, TT<sub>4</sub>, FT<sub>3</sub>, FT<sub>4</sub> and TSH in cord plasma were 0.86 nmol/L, and 94.12 nmol/L, 1.82 pmol/L, 14.22 pmol/L, and 6.47 uIU/mL, respectively, as shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<p>In univariate analyses (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S3</bold>
</xref>), children whose parents were younger than 25 years, whose fathers drank alcohol within 3 months before conception, and who were delivered vaginally (<italic>vs</italic>. cesarean section) had significantly higher neonatal TSH concentrations. Additionally, children born to mothers who were underweight (<italic>vs</italic>. normal weight) and gave birth <italic>via</italic> vaginal delivery had lower FT<sub>3</sub> and FT<sub>4</sub> concentrations. Further, children born to mothers who were exposed to passive smoking before pregnancy had higher FT<sub>3</sub> and FT<sub>4</sub> concentrations and children born to fathers who drank alcohol within 3 months before conception had higher FT<sub>3</sub> concentrations.</p>
</sec>
<sec id="s3_4">
<title>3.4 Associations of Neonatal THs and TSH Concentrations With AGI in Girls</title>
<p>In general, multiple linear regression models showed that AGI<sub>AC</sub> and AGI<sub>AF</sub> in girls tended to be lower in the higher tertile groups of TT<sub>4</sub>, FT<sub>4</sub>, and FT<sub>3</sub> in cord plasma than those of girls in the lowest tertile, although statistical significance was not reached for all time points (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Girls who had higher concentrations of TT<sub>4</sub> had lower AGI<sub>AC</sub> at birth (&#x3b2; = -0.56, 95% CI: -1.08, -0.04 for highest <italic>vs</italic>. lowest tertiles) and 6 months of age (&#x3b2; = -0.57, 95% CI: -1.03, -0.11 for middle <italic>vs</italic>. lowest tertiles), and lower AGI<sub>AF</sub> at 6 months of age (&#x3b2; = -0.35, 95% CI: -0.65, -0.06 for middle <italic>vs</italic>. lowest tertiles). Higher FT<sub>4</sub> concentrations were associated with lower AGI<sub>AC</sub> at birth (&#x3b2; = -0.58, 95% CI: -1.11, -0.05 for middle and &#x3b2; = -0.74, 95% CI: -1.26, -0.22 for highest <italic>vs</italic>. lowest tertiles) and 48 months of age (&#x3b2; = -0.35, 95% CI: -0.67, -0.02 for middle <italic>vs</italic>. lowest tertiles), and with lower AGI<sub>AF</sub> at 6 months of age (&#x3b2; = -0.35, 95% CI: -0.65, -0.05 for middle <italic>vs</italic>. lowest tertiles) and 48 months of age (&#x3b2; = -0.22, 95% CI: -0.43, -0.02 for middle <italic>vs</italic>. lowest tertiles). In addition, girls in the highest tertile of FT<sub>3</sub> concentrations had lower AGI<sub>AF</sub> at birth (&#x3b2; = -0.39, 95% CI: -0.68, -0.10) than those in the lowest tertile.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Associations between neonatal TH and TSH concentrations and AGI<sub>AC</sub> and AGI<sub>AF</sub> in girls from birth to 48 months of age. In multiple linear regression models. <bold>(A)</bold> AGI<sub>AC</sub> [anus-clitoris] <bold>(B)</bold> AGI<sub>AF</sub> [anus-fourchette]. All models adjusted for maternal age, maternal education, maternal pre-pregnancy BMI, gestational weeks, maternal passive smaoking, and paternal alcohol comsumption.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-736505-g002.tif"/>
</fig>
<p>Similar inverse associations of TT<sub>4</sub>, FT<sub>4</sub>, and FT<sub>3</sub> with AGI in girls were also found in the GEE models (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Higher neonatal TT<sub>4</sub> and FT<sub>4</sub> concentrations were associated with lower AGI<sub>AC</sub> (TT<sub>4</sub>: &#x3b2; = -0.27, 95% CI: -0.50, -0.03 for middle <italic>vs</italic>. lowest tertiles; FT<sub>4</sub>: &#x3b2; = -0.38, 95% CI: -0.61, -0.16 for middle and &#x3b2; = -0.30, 95% CI: -0.55, -0.04 for highest <italic>vs</italic>. lowest tertiles). Additionally, girls in the highest tertile of FT<sub>3</sub> concentrations had lower AGI<sub>AF</sub> than those in the lowest tertile (&#x3b2; = -0.22, 95% CI: -0.36, -0.08).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Associations between TH and TSH concentrations in cord plasma and AGI from birth to 48 months of age in GEE models.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">THs and TSH</th>
<th valign="top" colspan="2" align="center">Girl </th>
<th valign="top" colspan="2" align="center">Boy</th>
</tr>
<tr>
<th valign="top" align="center">AGI<sub>AC</sub> </th>
<th valign="top" align="center">AGI<sub>AF</sub>
</th>
<th valign="top" align="center">AGI<sub>AP</sub>
</th>
<th valign="top" align="center">AGI<sub>AS</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="3" align="left">TT<sub>3</sub>
</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lowest tertile</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Middle tertile</td>
<td valign="top" align="center">0.06 (-0.17, 0.29)</td>
<td valign="top" align="center">-0.07 (-0.22, 0.07)</td>
<td valign="top" align="center">0.08 (-0.17, 0.34)</td>
<td valign="top" align="center">0.16 (-0.07, 0.39)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Highest tertile</td>
<td valign="top" align="center">0.05 (-0.21, 0.31)</td>
<td valign="top" align="center">-0.04 (-0.19, 0.11)</td>
<td valign="top" align="center">0.15 (-0.13, 0.43)</td>
<td valign="top" align="center">0.13 (-0.10, 0.37)</td>
</tr>
<tr>
<td valign="top" colspan="3" align="left">TT<sub>4</sub>
</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lowest tertile</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Middle tertile</td>
<td valign="top" align="center">
<bold>-0.27 (-0.50, -0.03)<sup>*</sup>
</bold>
</td>
<td valign="top" align="center">
<bold>-0.14 (-0.29, 0.02)<sup>#</sup>
</bold>
</td>
<td valign="top" align="center">-0.17 (-0.45, 0.10)</td>
<td valign="top" align="center">-0.07 (-0.32, 0.17)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Highest tertile</td>
<td valign="top" align="center">
<bold>-0.22 (-0.46, 0.01)<sup>#</sup>
</bold>
</td>
<td valign="top" align="center">-0.09 (-0.24,0.07)</td>
<td valign="top" align="center">0.01 (-0.28, 0.29)</td>
<td valign="top" align="center">0.03 (-0.19, 0.24)</td>
</tr>
<tr>
<td valign="top" colspan="3" align="left">FT<sub>3</sub>
</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lowest tertile</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Middle tertile</td>
<td valign="top" align="center">-0.10 (-0.35, 0.14)</td>
<td valign="top" align="center">-0.09 (-0.24, 0.06)</td>
<td valign="top" align="center">0.05 (-0.22, 0.32)</td>
<td valign="top" align="center">0.08 (-0.15, 0.32)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Highest tertile</td>
<td valign="top" align="center">-0.16 (-0.41, 0.09)</td>
<td valign="top" align="center">
<bold>-0.22 (-0.36, -0.08)<sup>*</sup>
</bold>
</td>
<td valign="top" align="center">-0.01 (-0.28, 0.27)</td>
<td valign="top" align="center">-0.04 (-0.28, 0.19)</td>
</tr>
<tr>
<td valign="top" colspan="3" align="left">FT<sub>4</sub>
</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lowest tertile</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Middle tertile</td>
<td valign="top" align="center">
<bold>-0.38 (-0.61, -0.16)<sup>*</sup>
</bold>
</td>
<td valign="top" align="center">
<bold>-0.15 (-0.31, 0.01)<sup>#</sup>
</bold>
</td>
<td valign="top" align="center">-0.11 (-0.37, 0.15)</td>
<td valign="top" align="center">-0.07 (-0.30, 0.16)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Highest tertile</td>
<td valign="top" align="center">
<bold>-0.30 (-0.55, -0.04)<sup>*</sup>
</bold>
</td>
<td valign="top" align="center">-0.11 (-0.27, 0.06)</td>
<td valign="top" align="center">-0.01 (-0.30, 0.29)</td>
<td valign="top" align="center">-0.01 (-0.26, 0.24)</td>
</tr>
<tr>
<td valign="top" colspan="3" align="left">TSH (log 10-transformed)</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lowest tertile</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Middle tertile</td>
<td valign="top" align="center">-0.04 (-0.27, 0.19)</td>
<td valign="top" align="center">-0.04 (-0.19, 0.11)</td>
<td valign="top" align="center">0.08 (-0.22, 0.37)</td>
<td valign="top" align="center">0.16 (-0.08, 0.40)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Highest tertile</td>
<td valign="top" align="center">0.05 (-0.22, 0.32)</td>
<td valign="top" align="center">0.11 (-0.05, 0.27)</td>
<td valign="top" align="center">0.14 (-0.15, 0.43)</td>
<td valign="top" align="center">
<bold>0.23 (0.0005, 0.46)<sup>*</sup>
</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Adjusted for maternal age, maternal education, maternal pre-pregnancy BMI, gestational weeks, maternal passive smoking, paternal alcohol consumption, and child&#x2019;s age (categorized as birth, 0.5, 1, 2, and 4 years).</p>
</fn>
<fn>
<p>
<sup>*</sup>Statistically significant difference (p &lt; 0.05).</p>
</fn>
<fn>
<p>
<sup>#</sup>Marginally significant difference (p &lt; 0.10).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>3.5 Associations of Neonatal THs and TSH Concentrations With AGI in Boys</title>
<p>For THs, the pattern of the results in multiple linear regression models (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) was inconsistent from birth to 48 months of age, although there were a positive association between TT<sub>3</sub> concentrations and AGI<sub>AP</sub> at 6 months of age (&#x3b2; = 0.61, 95% CI: 0.10, 1.11 for highest <italic>vs</italic>. lowest tertiles) and an inverse association between TT<sub>4</sub> concentrations and AGI<sub>AP</sub> at 6 months of age (&#x3b2; = -0.69, 95% CI: -1.19, -0.19 for middle <italic>vs</italic>. lowest tertiles).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Associations between neonatal TH and TSH concentrations and AGI<sub>AP</sub> and AGI<sub>AS</sub> in boys from birth to 48 months of age. in multiple linear regression models. <bold>(A)</bold> AGI<sub>AP</sub> [anus-penis] <bold>(B)</bold> AGI<sub>AS</sub> [anus-scrotum]. All models adjusted for maternal age, maternal education, maternal pre-pregnancy BMI, gestational weeks, maternal passive smaoking, and paternal alcohol comsumption.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-736505-g003.tif"/>
</fig>
<p>Boys in the higher tertile of log<sub>10</sub>-transformed TSH had higher AGI<sub>AS</sub> at birth (&#x3b2; = 0.53, 95% CI: 0.13, 0.92 for middle and &#x3b2; = 0.50, 95% CI: 0.09, 0.91 for highest <italic>vs</italic>. lowest tertiles) and 12 months of age (&#x3b2; = 0.41, 95% CI: 0.04, 0.79 for highest <italic>vs</italic>. lowest tertiles; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The positive association between TSH concentrations and AGI<sub>AS</sub> remained in GEE models (&#x3b2; = 0.23, 95% CI: 0.0005, 0.46 for highest <italic>vs</italic>. lowest tertiles; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), but the interaction term between TSH and child age at follow-up was statistically significant, indicating that the association between TSH and AGI<sub>AS</sub> may change over time (<italic>P</italic> &lt; 0.1; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S2</bold>
</xref>).</p>
</sec>
<sec id="s3_6">
<title>3.6 Sensitivity Analyses</title>
<p>We conducted several sensitivity analyses using GEE models. When we used AGD instead of AGI as the dependent variable, inverse associations between concentrations of TT<sub>4</sub>, FT<sub>3</sub>, and FT<sub>4</sub> and AGD were also observed in girls, but the association between TSH concentrations and AGD in boys became non-significant in GEE models (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>). The results were virtually identical in sensitivity analyses after excluding infants with TPOAb positivity, with gestational age &lt;37 weeks, or those whose mothers reported prior or current diagnoses of thyroid-related disease/related medication use, and after restricting girls whose mothers had a normal weight (<xref ref-type="supplementary-material" rid="SM1">
<bold>Tables S5&#x2013;S8</bold>
</xref>). Similar patterns were also observed in girls who were delivered vaginally, although some associations were not statistically significant, possibly due to the small sample size (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S9</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>4 Discussion</title>
<p>The present study is the first longitudinal assessment of the association between neonatal thyroid function and AGD from birth to 48 months of age. Higher neonatal concentrations of TT<sub>4</sub>, FT<sub>3</sub>, and FT<sub>4</sub> were associated with lower AGI in girls at 0&#x2013;48 months of age; however, no consistent pattern for THs was found in boys. Positive associations between TSH concentrations and AGI at birth and at 12 months of age were observed in boys.</p>
<p>Numerous epidemiological studies have reported that alterations in neonatal THs and TSH concentrations are associated with infant neurodevelopment (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B36">36</xref>) and physical growth (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B37">37</xref>). However, evidence on the effects of THs on reproductive development is limited. Only one human study has assessed the effects of FT<sub>3</sub>, FT<sub>4</sub>, and TSH concentrations in cord serum on AGD at birth (<xref ref-type="bibr" rid="B18">18</xref>). In female newborns, the overall patterns of association between higher FT<sub>3</sub> and FT<sub>4</sub> and shorter AGD were observed in both our study and the study by Liu et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>), although the association was not statistically significant in the study by Liu et&#xa0;al. These differences are likely due to different neonatal TH concentrations (mean comparison: 1.82 <italic>vs</italic>. 1.63 for FT<sub>3</sub>; 14.22 <italic>vs</italic>. 15.61 for FT<sub>4</sub>). The concentrations of THs in the previous study were measured in cord serum and not in cord plasma, and the laboratory method used was also different (<xref ref-type="bibr" rid="B18">18</xref>). In line with the study by Liu et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>), we found a positive association between TSH concentration and AGI<sub>AS</sub> in male newborns. We also found a positive association between TSH and AGI<sub>AS</sub> at 12 months of age. Given that TSH concentrations at birth are more likely to be affected by factors, such as the timing of blood collection and temperature (<xref ref-type="bibr" rid="B38">38</xref>), further studies are necessary to confirm these results.</p>
<p>The inverse associations between THs and female AGI might be explained by the effects of THs on sex steroid hormone synthesis (<xref ref-type="bibr" rid="B1">1</xref>). Female AGD development during the fetal masculinization window was also suggested to be affected by androgen concentrations (<xref ref-type="bibr" rid="B39">39</xref>). In <italic>in vitro</italic> studies, THs along with other gonadotropic hormones could inhibit the excessive production of androgens in theca cells isolated from medium-sized follicles (<xref ref-type="bibr" rid="B40">40</xref>). Animal studies have also reported that THs could decrease the expression of steroid 5&#x3b1;-reductase type 2, one androgen-related gene, playing anti-androgen effects in the ovary tissue of female S. tropicalis frogs (<xref ref-type="bibr" rid="B41">41</xref>). Another mechanism that affecting female AGD through estrogenic pathways has also been proposed (<xref ref-type="bibr" rid="B39">39</xref>). THs could also up-regulate the expression of the estrogen receptor alpha and increase the SHBG concentrations in females, resulting in increased serum estrogen concentrations (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Male reproductive development is intricately dependent on fetal androgen action. Increased fetal androgen concentrations are the main cause for longer AGD in males (<xref ref-type="bibr" rid="B44">44</xref>). It is reported that increased TSH concentrations are associated with decreased sex-hormone binding globulin (SHBG) concentrations in males (<xref ref-type="bibr" rid="B42">42</xref>), which in turn, will increase the bioavailability of testosterone (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>Our study has several strengths. First, this longitudinal study used repeated measurements of AGD at multiple ages of early life to examine the association between neonatal thyroid function and AGD, which enabled us to assess the average effect of neonatal thyroid function on AGD development from birth to 48 months of age. Second, the present study was based on a well-designed birth cohort study, which enabled us to obtain information on a wide range of covariates. In addition, the findings were strengthened when similar associations were observed through various analytic strategies.</p>
<p>Several limitations should also be acknowledged in the present&#xa0;study. First, the AGD metrics at each follow-up visit&#xa0;were measured only once, which may have resulted in misclassification. However, it has been reported that the reliability coefficient increased only slightly when the average of two or three repeated measurements for AGD was used (<xref ref-type="bibr" rid="B14">14</xref>). In addition, the examiners were blinded to data on neonatal thyroid function, and the misclassification would be non-differential and would bias the associations towards null. Second, the sample size was relatively small, and a total of 80 associations between neonatal thyroid function and AGI were tested using multiple linear regression models in the present study, which may have increased the type I error. However, consistent patterns of inverse associations between neonatal THs and female AGI in GEE models were also observed, which may be less prone to the issue of multiple comparisons when the estimates were calculated for the overall effects from birth to 48 months of age. Third, circulating THs and TSH of both maternal and fetal origin are present in the fetus from the second trimester onward (<xref ref-type="bibr" rid="B45">45</xref>). We did not measure maternal TH and TSH concentrations; thus, the contribution of maternal TH and TSH status to our findings cannot be evaluated. Finally, because we measured THs at birth rather than during the fetal masculinization window, reverse causality could probably occur considering that sex steroids can also affect the TH axis. However, the effects of THs on sex steroids synthesis and action are supported by considerable data while the evidence for the opposite direction of crosstalk is much more restricted (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>In conclusion, inverse associations between neonatal THs and female AGI and a positive association between neonatal TSH and male AGI were indicated. These findings provide additional evidence for the effects of neonatal thyroid function on reproductive development during early childhood.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the ethical committee of Shanghai Institute of Planned Parenthood Research. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>ML: data collection, formal analysis, investigation, writing-original draft, and writing-review and editing. HL: design of the data collection instruments, data collection, and writing-review and editing. GHF laboratory analyses, and writing-review and editing. ZW: design of the data collection instruments, data collection, funding acquisition, and writing-review and editing. XS: writing-review and editing. AC: writing-review and editing. MM: study conception and design, project supervision, funding acquisition, and writing-review and editing. WY: study conception and design, project supervision, and writing-review and editing. All authors accept accountability for the overall work. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from the National key research and development program (2016YFC1000505); National Natural Science Foundation of China (22076123, 81903346); the Science and Technology Commission of Shanghai Municipality (20ZR1448000); Shanghai Sailing Program (18YF1420500).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<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 id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2021.736505/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2021.736505/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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