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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.2021.789395</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>Associations Between Sex Hormone Levels and Autistic Traits in Infertile Patients With Polycystic Ovary Syndrome and Their Offspring</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Lijie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1353303"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1035648"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Jiajia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1516946"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Xinjie</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qu</surname>
<given-names>Fan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Rong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Jianliu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Reproductive Medicine Center, Department of Obstetrics and Gynecology, Peking University People&#x2019;s Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Neuroscience Research Institute, Department of Neurobiology, School of Basic Medical Sciences, Peking University, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Autism Research Center of Peking University Health Science Center</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Medical Science Research Center, Research Center for Translational Medicine, Department of Scientific Research, Peking Union Medical College Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Women&#x2019;s Hospital, School of Medicine, Zhejiang University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Integration of Chinese and Western Medicine, School of Basic Medical Sciences, Peking University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Yanting Wu, Fudan University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Junping Wen, Fujian Provincial Hospital, China; Wenjuan Shen, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Rong Zhang, <email xlink:href="mailto:zhangrong@bjmu.edu.cn">zhangrong@bjmu.edu.cn</email>; Jianliu Wang, <email xlink:href="mailto:wangjianliu1203@163.com">wangjianliu1203@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Reproduction, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>789395</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Jiang, Tian, Yuan, Xu, Qu, Zhang and Wang</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Jiang, Tian, Yuan, Xu, Qu, Zhang and Wang</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>Objectives</title>
<p>1) To explore the associations between autistic traits and sex hormone changes in patients with polycystic ovary syndrome (PCOS); 2) To explore the influence of PCOS parental autistic traits and related sex hormone changes on autistic traits in their offspring.</p>
</sec>
<sec>
<title>Method</title>
<p>This is a case&#x2013;control study that recruited two groups: polycystic ovarian syndrome-induced infertile subjects as the observation group and fallopian tube factor-induced infertility subjects as the control group. Both cohorts were patients undergoing infertility treatment in the Productive Medicine Center, Peking University People&#x2019;s Hospital. Two types of questionnaires were completed by patients between May 1<sup>st</sup>, 2015, and May 1<sup>st</sup>, 2016: 1. The autism-spectrum quotient (AQ) 2. Repetitive behavior scale-revised (RBS-r). Levels of sex hormones in serum were measured in patients. The correlations between the levels of these biochemical factors and scores of the autistic traits were analysed. From July 1<sup>st</sup>, 2020 to September 1<sup>st</sup>, 2021, these patients were followed up by telephone and asked to fill out a questionnaire online. The questionnaire included date of delivery, complications, medicine used and negative events during pregnancy (e.g., death of relatives, divorce, etc.), delivery condition, breastfeeding, AQ scale and Autism Behavior Checklist (ABC) of their children.</p>
</sec>
<sec>
<title>Results</title>
<p>The patients in the PCOS group had significantly higher AQ scores than those in the control group. Levels of luteinizing hormone and testosterone were also higher in the PCOS group. No significant differences were found between the two groups in RBS-r levels, follicle-stimulating hormone, estradiol or progesterone. In the two combined groups, there were significantly positive correlations between the AQ scores and the luteinizing hormone concentration, as well as between scores of RBS-r and testosterone  concentration. Moreover, there was a significantly negative correlation between the level of progesterone and the RBS-r score. According to the follow-up data, the AQ scores of offspring were positively correlated with the RBS-r scores of their mothers. The ABC scores of offspring were positively correlated with the RBS-r scores and the childbearing age of their mothers. No significant difference was found between the two groups in age of delivery, complications, special medication used, negative events during pregnancy, delivery situation, postpartum breastfeeding, age of children, or AQ scores or ABC scores of children. There were no significant correlations between the scale scores of children and the related sex hormone levels of mothers. This could indicate that the higher levels of luteinizing hormone and testosterone and the lower level of progesterone accompanied more pronounced autistic traits in PCOS. Furthermore, the higher delivery age and RBS-r score in mothers accompanied the higher AQ and ABC scores in children.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Compared with the control group, PCOS patients had more autistic traits (especially social dysfunction). The autistic traits in PCOS patients might be related to the elevation in testosterone concentration and luteinizing hormone levels and the decline in progesterone level. Moreover, the autistic traits in the offspring of PCOS patients might be related to the parental high delivery age and high tendency to autism traits.</p>
</sec>
</abstract>
<kwd-group>
<kwd>polycystic ovary syndrome</kwd>
<kwd>autism spectrum disorder</kwd>
<kwd>sex hormone</kwd>
<kwd>offspring</kwd>
<kwd>autistic traits</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="8"/>
<word-count count="3725"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Polycystic ovary syndrome (PCOS) is one of the most common infertility causes in women and is mainly characterized by oligoanovulation, ovarian polycystic morphology and hyperandrogenism (<xref ref-type="bibr" rid="B1">1</xref>). Some recent studies have demonstrated an increased risk of autism spectrum disorder (ASD) in the offspring of PCOS patients (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>ASD is a neurodevelopmental disease with core symptoms, including social communication disorder, narrow interests, and repetitive behaviors (<xref ref-type="bibr" rid="B6">6</xref>). There are many factors in the etiology of ASD, such as genetics (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), environment (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>), and some factors in research progress, including metabolism (<xref ref-type="bibr" rid="B11">11</xref>), gut microbiome (<xref ref-type="bibr" rid="B12">12</xref>), and endocrine (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Numerous researchers have reported that prenatal exposure to high levels of androgen may increase the risk of ASD in offspring (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). It seems that sex steroids might be the potential link between PCOS and ASD. However, previous studies have not explored the autistic traits of PCOS itself and the association with sex steroids. This study aimed to test the relationship between the PCOS family (themselves and their offspring) and autistic traits and to analyse the correlation between sex steroid and autistic trait scores in patients with PCOS.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>2 Materials and Methods</title>
<sec id="s2_1">
<title>2.1 Subjects</title>
<p>All subjects were recruited between May 1<sup>st</sup>, 2015, and May 1<sup>st</sup>, 2016, from the Reproductive Medicine Center, Peking University People&#x2019;s Hospital, Beijing, China, and sorted into two groups: an observation group of subjects with infertility due to PCOS [based on Rotterdam diagnostic criteria (<xref ref-type="bibr" rid="B1">1</xref>)] and a control group of subjects with infertility due to fallopian tubes. The inclusion criteria were as follows: (1) age between 20 and 40 years old; (2) definite diagnosis issued by the hospital; (3) normal intelligence level and reading ability; and (4) voluntary participation in this study and signing of informed consent. Exclusion criteria included (1) serious physical or mental diseases; (2) pregnancy, lactation, or menopause; and (3) recent (within a month) use of contraceptives or other drugs that affect sex hormone levels. One hundred patients in each group were recruited to complete the AQ (Autism Spectrum Quotient) and the Repetitive Behavior Scale-revised (RBS-r). The sex hormone levels of both groups were measured with peripheral blood samples. Moreover, PCOS patients were also evaluated for acne and hirsutism.</p>
<p>Approximately 5 years later, from July 1<sup>st</sup>, 2020 to September 1<sup>st</sup>, 2021, these 200 patients were followed up by telephone. If their babies were above 2 years old, they were asked to fill out a questionnaire online. The questionnaire included date of delivery, complications, drugs used and negative events during pregnancy (e.g., death of relatives, divorce, etc.), delivery condition, breast-feeding, AQ scale and ABC (Autism Behavior Scale) scale about their children. This study was approved by the Peking University Institutional Review Board (Approval No. IRB00001052-15031).</p>
</sec>
<sec id="s2_2">
<title>2.2 Instruments</title>
<p>2.2.1 The AQ, designed by Simon Baron-Cohen in 2001, is a self-administered quotient measure that measures autistic personality traits in adults. The score is based on five factors, namely, social ability, attention, communication ability, detail, and imagination. A higher score represents more pronounced autistic personality characteristics (<xref ref-type="bibr" rid="B17">17</xref>). RBS-r, designed by Bodfish JW in 1999 (<xref ref-type="bibr" rid="B18">18</xref>), mainly targets stereotyped behaviors. ABC, developed by Krug in 1978 (<xref ref-type="bibr" rid="B19">19</xref>), lists 57 behavioral characteristics of autistic children, including five aspects: sensory, relating, body and object use, language, and social and self-help. It can be used as an autism screening scale for children aged between 2 and 14 years old. A higher score represents more pronounced autistic traits.</p>
<p>2.2.2 Sex steroids, including luteinizing hormone (LH); follicle-stimulating hormone (FSH); estradiol (E2), progesterone (P); and testosterone (T), were measured in the clinical laboratory of Peking University People&#x2019;s Hospital.</p>
<p>2.2.3 The acne score was determined by the clinical overall scoring method (<xref ref-type="bibr" rid="B20">20</xref>). Six parts of the face were observed: frontal, left cheek, nose, and chin, coupled with the chest and back. The lesion severity was divided into 5 grades: 0, no lesion; 1, &#x2265;1 acne; 2, &#x2265;1 papule; 3, &#x2265;1 pustular; and 4, &#x2265;1 nodular cyst. Multiplying the score of the most serious skin lesion type in each zone results in a total score, with 1-18 as mild; 19-30 as moderate; 31-38 as severe; and &gt; 39 as extremely severe.</p>
<p>2.2.4 In this study, an improved F-G scoring method was used to evaluate hirsutism. According to the amount and distribution of the hair, 0 ~ 4 points were recorded, and a total score &#x2265; 8 points was used to diagnose hirsutism (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
<sec id="s2_3">
<title>2.3 Statistical Analyses</title>
<p>Data were managed and analysed using SPSS 25.0. An independent t test was used to compare continuous variables. If the sex hormones data exceeded three standard deviations, we would delete them as the extreme value when we analysed the difference between the two groups. The chi-square test or Fisher&#x2019;s exact test was used to compare categorical variables. Given the large sample size of the combined two groups (n=53~195), the Pearson correlation coefficient was used to examine the correlation between sex hormone levels in plasma and behavioral scores. All statistical analyses were two-sided, and P&lt;0.05 was considered statistically significant (unless otherwise described).</p>
<p>This study is an observational study, with high uncertainty in estimating the sample size. According to relevant literature reports (<xref ref-type="bibr" rid="B23">23</xref>), there were 100 cases in each group of questionnaires, and the sample size of each group of blood samples should reach 30 cases.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<p>There were no significant differences in RBS scores between groups. However, the PCOS group had a higher body mass index (BMI) and AQ score than the control group (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Furthermore, the PCOS group had significantly higher abnormal scores in social ability, attention and communication ability but not in details and imagination factors in AQ (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The age of the control group was higher than that of the PCOS group. We further analysed the influence of age on the AQ scores (positive data) of the two groups by using covariance and found that age had no significant influence on the AQ scores (P=0.330), but the difference in the AQ scores between the groups was still obvious (P=0.000). Women with PCOS had a significantly higher levels of LH (7.27 &#xb1; 4.96 vs 3.73 &#xb1; 1.64, P=0.000, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) and testosterone (1.94 &#xb1; 0.66 vs 1.54 &#xb1; 0.45, P=0.000, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>) than women without PCOS. No difference was found in FSH (PCOS vs control: 7.08 &#xb1; 2.24 vs 7.83 &#xb1; 3.31, P=0.069, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>), estradiol (PCOS vs control: 0.15 &#xb1; 0.08 vs 0.13 &#xb1; 0.09, P=0.150, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>), or progesterone (PCOS vs control: 2.06 &#xb1; 1.12 vs 2.30&#xb1; 1.40, P=0.226, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). Further correlation analysis revealed that there was a significant positive correlation between the total AQ score and LH concentration as well as between the RBS-r score and total testosterone and a significant negative correlation between the RBS-r score and progesterone. However, there were no significant correlations among the total AQ score, RBS-r score and BMI, FSH, E2, F-G score, or acne score (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Comparisons of age, BMI, RBS-r score, total AQ score, and AQ subscale scores between the two groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">PCOS</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" align="left">n</th>
<th valign="top" align="center">100</th>
<th valign="top" align="center">100</th>
<th valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">25.10 (4.15)<sup>a</sup>
</td>
<td valign="top" align="center">23.03 (3.69)<sup>b</sup>
</td>
<td valign="top" align="center">0.008**</td>
</tr>
<tr>
<td valign="top" align="left">age</td>
<td valign="top" align="center">30.50 (4.01)</td>
<td valign="top" align="center">32.47 (3.61)</td>
<td valign="top" align="center">0.000**</td>
</tr>
<tr>
<td valign="top" align="left">RBS-r score</td>
<td valign="top" align="center">15.01 (16.55)</td>
<td valign="top" align="center">11.34 (12.26)</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td valign="top" align="left">total AQ score</td>
<td valign="top" align="center">61.16 (10.46)</td>
<td valign="top" align="center">55.57 (10.14)</td>
<td valign="top" align="center">0.000**</td>
</tr>
<tr>
<td valign="top" align="left">Social skills</td>
<td valign="top" align="center">11.60 (3.86)</td>
<td valign="top" align="center">10.18 (3.87)</td>
<td valign="top" align="center">0.010*</td>
</tr>
<tr>
<td valign="top" align="left">Attention switching</td>
<td valign="top" align="center">14.86 (3.30)</td>
<td valign="top" align="center">13.57 (3.28)</td>
<td valign="top" align="center">0.006**</td>
</tr>
<tr>
<td valign="top" align="left">Communication</td>
<td valign="top" align="center">9.61 (3.70)</td>
<td valign="top" align="center">7.79 (4.08)</td>
<td valign="top" align="center">0.001**</td>
</tr>
<tr>
<td valign="top" align="left">Attention to detail</td>
<td valign="top" align="center">13.85 (4.21)</td>
<td valign="top" align="center">13.11 (4.52)</td>
<td valign="top" align="center">0.232</td>
</tr>
<tr>
<td valign="top" align="left">Imagination</td>
<td valign="top" align="center">11.24 (3.65)</td>
<td valign="top" align="center">10.92 (3.35)</td>
<td valign="top" align="center">0.519</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were reported as the mean (SD). *P value &lt; 0.05; **P value &lt; 0.01; <sup>a</sup>Valid N=57; <sup>b</sup>Valid N=50.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Beeswarm plots illustrating the distribution of LH (luteinizing hormone), <bold>(B)</bold> FSH (follicle-stimulating hormone), <bold>(C)</bold> E2 (estradiol), <bold>(D)</bold> P (progesterone), and <bold>(E)</bold> T (testosterone) serum concentrations. Error bars represent the standard deviation, and the black line between two dark lines represents the mean. ****Statistical significance (P &lt; 0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-789395-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Correlation between total AQ score, RBS-r score and sex hormone levels, F-G score, acne score, and BMI.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"/>
<th valign="top" align="center">Total AQ Score</th>
<th valign="top" align="center">RBS-r Score</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">Total AQ Score</th>
<th valign="top" align="center">RBS-r Score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="3" align="left">BMI</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.12</td>
<td valign="top" rowspan="3" align="left">LH</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.397</td>
<td valign="top" align="center">0.228</td>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.010*</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="left">n</td>
<td valign="top" align="center">107</td>
<td valign="top" align="center">107</td>
<td valign="top" align="left">n</td>
<td valign="top" align="center">195</td>
<td valign="top" align="center">195</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">FSH</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">-0.05</td>
<td valign="top" align="center">-0.09</td>
<td valign="top" rowspan="3" align="left">E2</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">0.237</td>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.627</td>
<td valign="top" align="center">0.603</td>
</tr>
<tr>
<td valign="top" align="left">n</td>
<td valign="top" align="center">194</td>
<td valign="top" align="center">194</td>
<td valign="top" align="left">n</td>
<td valign="top" align="center">194</td>
<td valign="top" align="center">194</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">P</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">-0.03</td>
<td valign="top" align="center">-0.16</td>
<td valign="top" rowspan="3" align="left">T</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.738</td>
<td valign="top" align="center">0.046*</td>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.192</td>
<td valign="top" align="center">0.044*</td>
</tr>
<tr>
<td valign="top" align="left">n</td>
<td valign="top" align="center">163</td>
<td valign="top" align="center">163</td>
<td valign="top" align="left">n</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">191</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">F-G score</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">-0.10</td>
<td valign="top" align="center">0.01</td>
<td valign="top" rowspan="3" align="left">acne score</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">-0.15</td>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">0.963</td>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.480</td>
<td valign="top" align="center">0.299</td>
</tr>
<tr>
<td valign="top" align="left">n</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">53</td>
<td valign="top" align="left">n</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">53</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Statistical significance (P &lt; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>For the offspring follow-up study (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), 61 patients filled out the questionnaire (30 from the PCOS group vs 31 from the control group), 47 patients refused to fill out the questionnaire (PCOS vs control: 29% vs 18%, P=0.124), 46 patients failed in pregnancy (17 from the PCOS group vs 29 from the control group), and 46 patients could not be contacted with telephone number changes (24 from the PCOS group vs 22 from the control group). There was no significant difference between the two groups in delivery age, complications during pregnancy, special medication during pregnancy, negative events during pregnancy, delivery situation, or postpartum breastfeeding (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Due to the existence of twins, 73 children were followed up (34 from the PCOS group vs 39 from the control group). There was no significant difference in the age, AQ and ABC scores of children between the two groups (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Furthermore, after combining the two groups of data to analyse the correlation, it can be found that the AQ scores (P=0.036, r=0.248) and ABC scores (P&lt; 0.001, r = 0.457) of offspring are positively correlated with the RBS-r scores of their mothers. Moreover, the ABC scores of offspring were positively correlated with the childbearing age of their mothers (P=0.008, r=0.306) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Flow chart of the follow-up study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-12-789395-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Comparisons of childbearing age, pregnancy, delivery and breastfeeding conditions between the two groups of mothers at the follow-up.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">PCOS (n = 30)</th>
<th valign="top" align="center">Control (n = 31)</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Age (years)</bold>
</td>
<td valign="top" align="center">32.41 (4.55)</td>
<td valign="top" align="center">33.66 (3.82)</td>
<td valign="top" align="center">0.252</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Complications during pregnancy</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Threatened abortion</bold>
</td>
<td valign="top" align="center">2 (6.67)</td>
<td valign="top" align="center">5 (16.13)</td>
<td valign="top" align="center">0.425</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gestational diabetes mellitus</bold>
</td>
<td valign="top" align="center">8 (26.67)</td>
<td valign="top" align="center">8 (25.81)</td>
<td valign="top" align="center">0.939</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Gestational hypertension</bold>
</td>
<td valign="top" align="center">2 (6.67)</td>
<td valign="top" align="center">4 (12.90)</td>
<td valign="top" align="center">0.671</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Anaemia</bold>
</td>
<td valign="top" align="center">3 (10.00)</td>
<td valign="top" align="center">3 (9.68)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Pollution of residence</bold>
</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">3 (9.68)</td>
<td valign="top" align="center">0.238</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Premature delivery</bold>
</td>
<td valign="top" align="center">2 (6.67)</td>
<td valign="top" align="center">4 (12.90)</td>
<td valign="top" align="center">0.671</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Infection</bold>
</td>
<td valign="top" align="center">1 (3.33)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0.492</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Medicine used during pregnancy</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Antibiotic</bold>
</td>
<td valign="top" align="center">1 (3.33)</td>
<td valign="top" align="center">3 (9.68)</td>
<td valign="top" align="center">0.612</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Progesterone</bold>
</td>
<td valign="top" align="center">14 (46.67)</td>
<td valign="top" align="center">18 (58.06)</td>
<td valign="top" align="center">0.373</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Multivitamin</bold>
</td>
<td valign="top" align="center">18 (60.00)</td>
<td valign="top" align="center">15 (48.39)</td>
<td valign="top" align="center">0.363</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Folacin</bold>
</td>
<td valign="top" align="center">25 (83.33)</td>
<td valign="top" align="center">26 (83.87)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Others</bold>
</td>
<td valign="top" align="center">1 (3.33)</td>
<td valign="top" align="center">1 (3.23)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Delivery condition</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Forceps delivery</bold>
</td>
<td valign="top" align="center">1 (3.33)</td>
<td valign="top" align="center">2 (6.45)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Cesarean</bold>
</td>
<td valign="top" align="center">17 (56.67)</td>
<td valign="top" align="center">20 (64.52)</td>
<td valign="top" align="center">0.530</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Asphyxia neonatorum</bold>
</td>
<td valign="top" align="center">1 (3.33)</td>
<td valign="top" align="center">1 (3.23)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;Low-weight birth</bold>
</td>
<td valign="top" align="center">2 (6.67)</td>
<td valign="top" align="center">4 (12.90)</td>
<td valign="top" align="center">0.671</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>&#x2003;High-weight birth</bold>
</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">2 (6.45)</td>
<td valign="top" align="center">0.492</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Negative events during pregnancy (e. g, death of relatives, divorce, etc.)</bold>
</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">1 (3.23)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Breast-feeding</bold>
</td>
<td valign="top" align="center">27 (90.00)</td>
<td valign="top" align="center">30 (96.77)</td>
<td valign="top" align="center">0.354</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were reported as the mean (SD), or n (%).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Comparisons of age, ABC score, total AQ score, and AQ subscale scores between the two groups of children.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">PCOS (n = 34)</th>
<th valign="top" align="center">Control (n = 39)</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Age (children)</bold>
</td>
<td valign="top" align="center">3.82 (1.25)</td>
<td valign="top" align="center">3.66 (0.59)</td>
<td valign="top" align="center">0.503</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ABC scores</bold>
</td>
<td valign="top" align="center">13.62 (22.96)</td>
<td valign="top" align="center">13.10 (13.20)</td>
<td valign="top" align="center">0.945</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>total AQ scores</bold>
</td>
<td valign="top" align="center">58.68 (11.68)</td>
<td valign="top" align="center">60.18 (13.24)</td>
<td valign="top" align="center">0.905</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Social skills</bold>
</td>
<td valign="top" align="center">9.15 (5.49)</td>
<td valign="top" align="center">9.67 (4.12)</td>
<td valign="top" align="center">0.646</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Attention switching</bold>
</td>
<td valign="top" align="center">13.97 (3.64)</td>
<td valign="top" align="center">13.26 (3.09)</td>
<td valign="top" align="center">0.368</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Communication</bold>
</td>
<td valign="top" align="center">9.5 (4.30)</td>
<td valign="top" align="center">8.74 (4.78)</td>
<td valign="top" align="center">0.482</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Attention to detail</bold>
</td>
<td valign="top" align="center">15.41 (4.74)</td>
<td valign="top" align="center">17.51 (4.64)</td>
<td valign="top" align="center">0.061</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Imagination</bold>
</td>
<td valign="top" align="center">10.65 (4.21)</td>
<td valign="top" align="center">11.0 (3.15)</td>
<td valign="top" align="center">0.684</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were reported as the mean (SD).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Correlation between total AQ score of children, ABC score of the sex hormone levels of children and mothers, the child-bearing age of mothers, the total AQ score of mothers, and the RBS-r score of mothers.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"/>
<th valign="top" align="center">Total AQ Score of Children</th>
<th valign="top" align="center">ABC Score of Children</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">Total AQ Score of Children</th>
<th valign="top" align="center">ABC Score of Children</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="3" align="left">Total AQ score of mothers</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">0.010</td>
<td valign="top" rowspan="3" align="left">RBS-r Score of mothers</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.248</td>
<td valign="top" align="center">0.457</td>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.257</td>
<td valign="top" align="center">0.934</td>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.036*</td>
<td valign="top" align="center">0.000**</td>
</tr>
<tr>
<td valign="top" align="left">n</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">73</td>
<td valign="top" align="left">n</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">73</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">FSH</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">-0.087</td>
<td valign="top" align="center">-0.173</td>
<td valign="top" rowspan="3" align="left">LH</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">-0.187</td>
<td valign="top" align="center">-0.231</td>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.470</td>
<td valign="top" align="center">0.147</td>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.115</td>
<td valign="top" align="center">0.051</td>
</tr>
<tr>
<td valign="top" align="left">n</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">72</td>
<td valign="top" align="left">n</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">72</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">P</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.050</td>
<td valign="top" align="center">0.128</td>
<td valign="top" rowspan="3" align="left">T</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">-0.093</td>
<td valign="top" align="center">-0.178</td>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.695</td>
<td valign="top" align="center">0.316</td>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.468</td>
<td valign="top" align="center">0.163</td>
</tr>
<tr>
<td valign="top" align="left">n</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">63</td>
<td valign="top" align="left">n</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">63</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">E2</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.166</td>
<td valign="top" align="center">0.064</td>
<td valign="top" rowspan="3" align="left">Child-bearing age</td>
<td valign="top" align="left">r</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center">0.306</td>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.162</td>
<td valign="top" align="center">0.593</td>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.851</td>
<td valign="top" align="center">0.008**</td>
</tr>
<tr>
<td valign="top" align="left">n</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">72</td>
<td valign="top" align="left">n</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">73</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*P value &lt; 0.05; **P value &lt; 0.01.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>In this study, we found that women with PCOS had more autistic traits than those in the control group. The total AQ scores of women in social skills, attention switching and communication were significantly higher than those of the control group. The phenotypes were similar to the clinical manifestations of ASD, for example, social and language communication disorders. There was no difference between the two groups in attention to detail, imagination, or RBS-r scores. During the follow-up, PCOS patients were more likely to refuse the follow-up (29% in the PCOS group vs 18% in the control group). From another perspective, it showed that PCOS patients are more likely to have social dysfunctions.</p>
<p>In 2015, a population-based nationwide study in Sweden involving 23 748 ASD cases and 208 796 controls revealed that children of women with PCOS appear to have a higher risk of developing ASD (<xref ref-type="bibr" rid="B3">3</xref>). In 2018, another study based on Clinic Practice Research Datalink in the UK between 1990 and 2014 determined that women with PCOS and their children had a greater risk of autism (<xref ref-type="bibr" rid="B24">24</xref>). In addition, several studies showed that women with PCOS experienced higher rates of psychiatric diseases, such as depression and anxiety (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). It seems that there are some connections between ASD and PCOS. However, these two studies with large sample sizes were retrospective tracking trials on offspring without showing the sex hormone levels of mothers. In comparison, our research was a prospective study and tried to determine the associations between hormone levels and autistic traits in infertile patients with PCOS and their offspring. Our study provided more evidence that women with PCOS had more autistic traits, especially in social skills, communication, and attention switching. This suggested that women with PCOS are not only prone to have offspring with ASD but also suffer from social impairment themselves.</p>
<p>Why do PCOS patients have more autistic traits? PCOS patients are characterized by a high level of androgen, and ASD is currently considered to be associated with intrauterine hyperandrogen (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). Our study showed that the levels of LH and total testosterone in PCOS patients were significantly higher than those in the control group, which was consistent with known conclusions (<xref ref-type="bibr" rid="B1">1</xref>). Further correlation analysis revealed that autistic traits were associated with elevated total testosterone and LH.</p>
<p>Some studies have shown that testosterone easily binds to androgen receptors located in the cytoplasm through cell membranes and blood&#x2013;brain barriers and then enters the nucleus, affecting the regulation of DNA transcription. It thus inhibits oxytocin (OXT), known as &#x201c;social factors&#x201d;, and oxytocin has been used to improve the clinical symptoms of ASD (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Testosterone can also affect the development of the nervous system and nerve contact by mediating programmed cell death, altering neurochemical mediators, and increasing the formation of dendritic synapses (<xref ref-type="bibr" rid="B35">35</xref>), and it might thereby affect social skills.</p>
<p>Regarding the relationship between LH and autistic traits, previous literature reported that the serum LH level in female patients with Asperger&#x2019;s syndrome was higher than that in healthy women (<xref ref-type="bibr" rid="B36">36</xref>). LH stimulates ovarian follicular stromal cells to produce more androgen, which then affects the OXT system. This might be the mechanism by which LH affects social function.</p>
<p>In addition, we also found that progesterone was negatively correlated with the RBS-r score. In 2014, Whitaker-Azmitia et&#xa0;al. found that a decrease in progesterone in maternal serum was associated with an increase in the incidence of autism in offspring (<xref ref-type="bibr" rid="B37">37</xref>). He explained that progesterone could stimulate the production of more immune T cells, regulate autoimmune function, and combat neuroinflammatory effects. It thereby protects the brain development of offspring. Generally, progesterone rises after ovulation in women. The progesterone level in PCOS patients is low for a long time due to sparse ovulation. This may be one of the reasons why PCOS patients have more autistic traits.</p>
<p>AQ has been widely used in both clinical and research studies as a screen for diagnosis (<xref ref-type="bibr" rid="B38">38</xref>). In this study, the AQ scores, which represented sociability, did not show a significant difference between the two groups of children. This might be due to the sample size. However, our data showed that the social behaviors of children might be influenced by the rigid behaviors and delivery age of their mothers. Is age an independent high-risk factor affecting ASD in offspring? According to a literature review, compared with mothers aged 25 to 29, mothers aged &#x2265; 35 had an increased risk of autism in their offspring (RR=1.52), while mothers aged &lt; 20 had a significantly reduced risk compared with mothers aged 25 to 29 (RR = 0.77). RR increases monotonically with increasing mother&#x2019;s age. After considering the influence of father&#x2019;s age and other potential confounding factors, this relationship still exists, which supports the independent relationship between mother&#x2019;s older age and autism (<xref ref-type="bibr" rid="B39">39</xref>). According to another meta-analysis, when the age of mother and father increased by 10 years, the risk of autism of offspring increased by 18% and 21%, respectively (<xref ref-type="bibr" rid="B40">40</xref>). Our data showed that children&#x2019;s ABC scores were positively correlated with their childbearing age (r=0.306, p=0.008), which was consistent with the existing literature results. At the same time, the children&#x2019;s ABC score was positively correlated with the mother&#x2019;s own rigid behavior (r=0.457, P &lt; 0.001). This might be related to heredity, or it might be related to some behavioral influences of mothers in raising children. In addition, our study found that PCOS had a high rate of refusing follow-up (29% in the PCOS group vs 18% in the control group), which might be related to a low desire for social communication and the potential underestimation of offspring problems.</p>
<p>Finally, the limitations of our study must be considered: (1) PCOS is a heterogeneous disease. According to the Rotterdam criteria in 2003, the diagnostic evidence for PCOS is rare ovulation, hyperandrogenism, and polycystic ovarian changes. In other words, not all PCOS patients have hyperandrogenism, which leads to abnormal oxytocin and social behaviors. If it can be further subtyped, it will be more convincing. (2) People&#x2019;s social behaviors are extremely complex. Whether social function can be fully evaluated by simply filling out the scale needs further confirmation. (3) This study mainly focused on infertile patients in the Reproductive Medicine Center, Peking University People&#x2019;s Hospital. Infertility may be one factor causing social dysfunction. (4) Follow-up is in the form of an online questionnaire rather than an on-site examination of children, so the results may be biased.</p>
</sec>
<sec id="s5">
<title>5 Conclusion</title>
<p>In summary, our results demonstrated that PCOS patients have more autistic traits, which might be related to the elevation in testosterone concentration and luteinizing hormone levels, as well as the decline in progesterone levels. Moreover, the autistic traits in the offspring of PCOS patients might be related to the parental high delivery age and high tendency to autistic traits.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Peking University Institutional Review Board (Approval No. IRB00001052-15031). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>LJ is responsible for filling out questionnaires and writing articles. LT is responsible for recruiting patients. JY, XX and FQ are responsible for statistic data. RZ is responsible for reviewing data and revising articles. JW is responsible for revising articles. All authors read and approved the final manuscript.</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>
<ack>
<title>Acknowledgments</title>
<p>We appreciate all authors involved in drafting the article or revising it critically for important intellectual content. This study is supported by the Key Realm R&amp;D Program of GuangDong Province [2019B030335001] and Beijing Municipal Science &amp; Technology Commission (Z181100001518005).</p>
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