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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.2023.1237260</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Clinical Trial</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Acupuncture improves the emotion domain and lipid profiles in women with polycystic ovarian syndrome: a secondary analysis of a randomized clinical trial</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chang</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2340617"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Baichao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ge</surname>
<given-names>Hang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1685214"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Chengdong</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lirong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Chengcheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Lifeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wanyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Duojia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yong</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Chi Chiu</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wu</surname>
<given-names>Xiaoke</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Heilongjiang University of Chinese Medicine</institution>, <addr-line>Harbin</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>First Affiliated Hospital, Heilongjiang University of Chinese Medicine</institution>, <addr-line>Harbin</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Affiliated Hospital of Jiangsu University</institution>, <addr-line>Zhenjiang</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Nanjing Universityg</institution>, <addr-line>Nanjin</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>The Chinese University of Hong Kong</institution>, <addr-line>Hong Kong, Hong Kong, SAR</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Heilongjiang Provincial Hospital</institution>, <addr-line>Harbin</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Changyin Zhou, Guangdong Second Provincial General Hospital, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yumei Zhou, Beijing University of Chinese Medicine, China; Zirui Dong, The Chinese University of Hong Kong, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiaoke Wu, <email xlink:href="mailto:xiaokewu2002@vip.sina.com">xiaokewu2002@vip.sina.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1237260</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Chang, Shi, Ge, Liu, Wang, Ma, Liu, Zhang, Zhang, Wang, Wang and Wu</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chang, Shi, Ge, Liu, Wang, Ma, Liu, Zhang, Zhang, Wang, Wang and Wu</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>Objective</title>
<p>This study aims to evaluate the effect of acupuncture on the emotion domain and metabolic parameters of Chinese women with polycystic ovarian syndrome (PCOS) by secondary analysis of a randomized clinical trial, conducted from 6 July 2012 to 7 October 2015.</p>
</sec>
<sec>
<title>Method</title>
<p>In this study, we investigated the effects of acupuncture (458 patients) and sham acupuncture (468 patients) on metabolic parameters, serum ions, and all quality-of-life scale scores related to PCOS. The quality of life of patients was evaluated using five relevant scales, operated by the research assistant, namely, PCOSQ, SF-36, and ChiQOL, as well as Zung-SAS and Zung-SDS. Metabolic parameters and serum ions were measured.</p>
</sec>
<sec>
<title>Results</title>
<p>A reduction in acne score, AN, Hcy, and LDL-C, and an increase in the level of lipoprotein &#x3b1;, Apo A1, and Apo A1/Apo B were observed in the acupuncture group after 4 months&#x2019; intervention after adjusting clomiphene and reproductive outcome (<italic>p</italic>&lt; 0.05). An increase in SF-36 total scores, RP and RE scores, ChiQOL total scores, and emotion domain scores was observed in the acupuncture group after 4 months&#x2019; intervention, while PF and HT scores were decreased (adjusted <italic>p</italic>&lt; 0.05). Those same changes were observed in sham acupuncture. Meanwhile, the serum levels of Ca, K, and Cl were elevated in the acupuncture group after the interventions (adjusted <italic>p</italic>&lt; 0.005). There were no significant differences in HOMA-IR, MetS, FPG, FINS, HDL-C, TG, Apo B, and level of serum P, Mg, and Na. Also, no changes in BP, GH, VT, SF, physical form domain, and spirit domain were observed after treatment.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Acupuncture can improve not only the emotional changes in SF-36 scores and ChiQOL scores, but also lipid metabolism, implying that it may have a correlation between emotional change and lipid metabolism. Furthermore, acupuncture can also regulate the changes of serum Ca, K, and Cl.</p>
</sec>
<sec>
<title>Clinical trial registration</title>
<p>
<uri xlink:href="https://ClinicalTrials.gov">ClinicalTrials.gov</uri>, identifier NCT01573858.</p>
</sec>
</abstract>
<kwd-group>
<kwd>polycystic ovarian syndrome</kwd>
<kwd>acupuncture</kwd>
<kwd>emotion</kwd>
<kwd>metabolism</kwd>
<kwd>ions</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="11"/>
<word-count count="7425"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Reproduction</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Polycystic ovarian syndrome (PCOS) is the most common endocrine disease in women of reproductive age, affecting more than 15%&#x2013;20% of the population (<xref ref-type="bibr" rid="B1">1</xref>). Women with PCOS are frequently associated with metabolic abnormalities, including hyperinsulinemia, chronic low-grade inflammation, insulin resistance (IR), dyslipidemia, and obesity, and even anovulatory infertility and type 2 diabetes, as well as the risk of cardiovascular disease (CVD) (<xref ref-type="bibr" rid="B2">2</xref>). PCOS is not a simple physical disease; it is associated with mental and psychological disorders. It affects not only the health-related quality of life (HRQoL) of women, but also their psychological function (<xref ref-type="bibr" rid="B3">3</xref>). In most cases following a diagnosis of PCOS, there is an increased prevalence of depression and anxiety symptoms; perceived stress; self-reported medical diagnoses of depression, anxiety, or other major mental illnesses; and treatment for psychological conditions or mental illness (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Compared with normal women, women with PCOS have significantly increased personality defects and psychiatric disorders, including anxiety, somatoform disorder and bipolar disorder, depression, delusional disorder and thought disorder, reduction of coping abilities and social skills, perceptual distortion and cognitive slippage, constant alertness and worry, chronic stress, and post-traumatic stress disorder, as well as inferiority, negativity, and social loneliness (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Moreover, there is an overlap of clinical symptoms between the emotion domain and PCOS. There is a possibility of common associations between emotional disorders and PCOS-associated abnormalities including lipid metabolism. A previous study has shown that emotion, especially comorbidity among anxiety and depression, is connected with the metabolic syndrome (MetS), and the improvement in emotion may play an inhibitory role in the development of the syndrome, resulting in a reduced risk of MetS via physiological regulation systems (<xref ref-type="bibr" rid="B10">10</xref>), but equally, it has indicated the effect of metabolism on limbic function and emotional regulation, which can disrupt emotion regulation in the context of metabolic dysfunction (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Acupuncture is an integral part of traditional Chinese medicine (TCM), which dates back more than 3,000 years. In recent years, the use of acupuncture to regulate the disorder of reproductive endocrinology and infertility has become more popular worldwide (<xref ref-type="bibr" rid="B12">12</xref>). As an alternative therapy, acupuncture can improve the internal regulation function of the human body to prevent or treat diseases by receiving stimulation of different acupoints (<xref ref-type="bibr" rid="B13">13</xref>); in particular, efficacy on regulating menstruation and hormones is similar to recently clinical trials, reporting that acupuncture can induce regular menstrual cycles and ovulation, as well as decrease high circulating levels of luteinizing hormone and testosterone in women with PCOS (<xref ref-type="bibr" rid="B14">14</xref>) by affecting more functional signaling pathways associated with metabolism and hypothalamic pituitary ovarian axes (<xref ref-type="bibr" rid="B15">15</xref>). However, no efficacy on live birth rates by acupuncture was reported in PCOSAct of Wu&#x2019;s study (<xref ref-type="bibr" rid="B16">16</xref>). Acupuncture had an effect of improving lipid profile, with an increase in levels of high-density lipoprotein cholesterol (HDL-C) and a decrease in other parameters including triglycerides (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) (<xref ref-type="bibr" rid="B17">17</xref>). Previous clinical studies have demonstrated that acupuncture is effective for the improvement of quality of life and treatment of various diseases including anxiety disorders, fatigue, and depression (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Furthermore, acupuncture may alleviate anxiety during embryo transfer, and it has also been implied to have certain effects on perinatal depression (<xref ref-type="bibr" rid="B20">20</xref>). Although there are some studies on acupuncture treatment of glucose and lipid metabolism and emotional disorders in women with PCOS, the results have been conflicting.</p>
<p>The PCOSQ and SF-36 are most commonly used to assess the quality of life of women with PCOS. Among these, PCOSQ is a tool specifically designed and validated for evaluating HRQoL in PCOS, which together are able to capture different aspects of QoL in PCOS women and identify areas that can help improve QoL in these women (<xref ref-type="bibr" rid="B21">21</xref>). The Chinese QoL scale can provide effective information based on the universal QoL measures, and can also provide certain guidance for clinical applications (<xref ref-type="bibr" rid="B22">22</xref>). In addition, previous studies have demonstrated that acupuncture is effective in improving symptoms in PCOS with Self-assessed Anxiety Scale (SAS) and Self-assessed Depression Scale (SDS) scores (<xref ref-type="bibr" rid="B23">23</xref>). All the above scales have good applicability and reliability to evaluate the effectiveness of acupuncture in patients with PCOS. Therefore, this study, based on 1,000 patients with PCOS from the Acupuncture and Clomiphene in Polycystic Ovary Syndrome Trial (PCOSAct), is designed to explore the effects of acupuncture on metabolic parameters, serum ions, and the quality of life of PCOS.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Design and target population</title>
<p>This is a <italic>post-hoc</italic> analysis of metabolic parameters, serum ions, and quality-of-life scales data from PCOSAct, a large-sample, multicenter, two-by-two factorial randomized controlled clinical trial collected at sites (27 hospitals) in mainland China between 6 July 2012 and 7 October 2015. In total, 1,000 participants were diagnosed with PCOS according to the modified Rotterdam criteria (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>): oligomenorrhea (defined as an intermenstrual interval &gt;35 days and&lt;8 menstrual bleedings in the past year) or amenorrhea (defined as an intermenstrual interval &gt;90 days), together with clinical or biochemical hyperandrogenism (hirsutism determined by modified Ferriman-Gallwey hirsutism score &#x2265;5 in Chinese) (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>) and/or polycystic ovaries (&#x2265;12 antral follicles 2&#x2013;9 mm or ovarian volume &#x2265;10 cm<sup>3</sup>). The study design, methods, and inclusion and exclusion criteria have been described in detail elsewhere (<xref ref-type="bibr" rid="B12">12</xref>), and the main results have been published (<xref ref-type="bibr" rid="B16">16</xref>). In brief, 926 women with PCOS were enrolled in the present study, and were assigned to the acupuncture group or the sham acupuncture group, with 458 patients and 468 patients per group, respectively.</p>
<p>The trial was registered on ClinicalTrials.gov (No. NCT01573858). The study was approved by the Regional Ethics Committee at The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine on 15 December 2011 (No. 2010HZYLL-010). All participants had signed informed consent before randomizing in the study.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data collection</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Blood sampling</title>
<p>At baseline on day 3 of a spontaneous menstrual period or a withdrawal, bleeding was induced by medroxyprogesterone acetate in patients with irregular cycles without recent menses, and upon pregnancy, it was monitored weekly by urinary human chorionic gonadotropin test, or at the end of the 16 weeks of treatment, fasting blood samples were collected for measurement of metabolic parameters, lipid profile, and serum ions in those patients who are not pregnant at that time.</p>
<p>The anthropometric, degree of hirsutism and acne were collected and body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared. All biochemical assays were carried out in a core laboratory after an overnight fast. All fasting blood collected at baseline and after intervention was used for metabolic parameters and serum ion assays. These were measured in samples stored at &#x2212;80&#xb0;C using an ELISA assay with no pre-dilution.</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Outcome measures</title>
<p>The biologic feature parameters of women with PCOS were obtained at baseline and at the follow-up visit, respectively, including age, male age, height, weight, BMI, waist, hip, waist&#x2013;hip ratio (WHR), systolic pressure, diastolic pressure, respiration, pulse, Ferriman-Gallwey, acne scores, and acanthosis nigricans (AN).</p>
<p>In addition, metabolic parameters in blood test included homeostasis model assessment-insulin resistance (HOMA-IR), MetS, fasting plasma glucose (FPG), fasting plasma insulin (FINS), homocysteine (Hcy), HDL-C, LDL-C, lipoprotein &#x3b1;, TC, TG, Apolipoprotein A1 (Apo A1), Apolipoprotein B (Apo B), and Apo A1/Apo B, and serum ions including calcium (Ca), phosphorus (P), magnesium (Mg), potassium (K), sodium (Na), and chloride (Cl) were assayed.</p>
<p>Quality-of-life scales included Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (PCOSQ, range of 1&#x2013;7, with higher scores indicating better function) (<xref ref-type="bibr" rid="B28">28</xref>), Medical Outcomes Study 36-Item Short Form Health Survey (SF-36, range of 0&#x2013;100, with higher scores indicating better function) (<xref ref-type="bibr" rid="B29">29</xref>), and Chinese Quality of Life Instrument (ChiQOL, range of 50&#x2013;250, with higher scores indicating better function) (<xref ref-type="bibr" rid="B30">30</xref>), as well as the Zung-Self Rating Anxiety Scale (SAS, range of 25&#x2013;100, with higher scores indicating worse anxiety) and Zung-Self Rating Depression Scale (SDS, range of 25&#x2013;100, with higher scores indicating worse depression).</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analyses</title>
<p>In the data description, categorical variables were summarized by frequencies. Continuous variables with normal distribution were presented as mean &#xb1; standard deviation (<inline-formula>
<mml:math display="inline" id="im1">
<mml:mover accent="true">
<mml:mi>x</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:math>
</inline-formula> &#xb1; s). The data of non-normal distribution were analyzed by Mann&#x2013;Whitney <italic>U</italic> test. Paired samples <italic>t</italic>-test or Mann&#x2013;Whitney <italic>U</italic> test was used to analyze the continuous indices. SPSS 22.0 was used for analysis and <italic>p</italic>&lt; 0.05 was considered to be statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Baseline characteristics</title>
<p>A total of 4,645 women with PCOS were screened from 6 July 2012 to 7 October 2015. A total of 1,000 eligible women were randomized and only 926 participants were included in the analysis. A total of 458 participants were assigned to the acupuncture group and 468 participants were assigned to the sham acupuncture group. There were no significant differences in baseline biological characteristics, metabolic parameters, and serum ions between two groups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Quality-of-life scales including SAS, SDS, PCOSL, SF-36, and ChiQOL scores were paralleled between two groups at baseline (<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>Baseline characteristics of the subjects.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">Acupuncture group<break/>(<italic>n</italic> = 458)</th>
<th valign="middle" align="center">Sham acupuncture group<break/>(<italic>n</italic> = 468)</th>
<th valign="middle" align="center">Mean difference<break/>(95% CI)</th>
<th valign="middle" align="center">
<italic>t</italic>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="left">Biological features</th>
</tr>
<tr>
<td valign="middle" align="center">Age</td>
<td valign="middle" align="center">27.97 &#xb1; 3.33</td>
<td valign="middle" align="center">27.87 &#xb1; 3.33</td>
<td valign="middle" align="center">&#x2212;0.11 (&#x2212;0.52&#x2013;0.31)</td>
<td valign="middle" align="center">&#x2212;0.51</td>
<td valign="middle" align="center">0.6136</td>
</tr>
<tr>
<td valign="middle" align="center">Male age</td>
<td valign="middle" align="center">29.80 &#xb1; 4.03</td>
<td valign="middle" align="center">29.81 &#xb1; 4.34</td>
<td valign="middle" align="center">0.01 (&#x2212;0.52&#x2013;0.53)</td>
<td valign="middle" align="center">0.02</td>
<td valign="middle" align="center">0.9842</td>
</tr>
<tr>
<td valign="middle" align="center">Height (cm)</td>
<td valign="middle" align="center">161.24 &#xb1; 5.02</td>
<td valign="middle" align="center">161.22 &#xb1; 5.16</td>
<td valign="middle" align="center">&#x2212;0.01 (&#x2212;0.64&#x2013;0.62)</td>
<td valign="middle" align="center">&#x2212;0.04</td>
<td valign="middle" align="center">0.9695</td>
</tr>
<tr>
<td valign="middle" align="center">Weight (kg)</td>
<td valign="middle" align="center">62.53 &#xb1; 12.39</td>
<td valign="middle" align="center">63.78 &#xb1; 12.45</td>
<td valign="middle" align="center">1.25 (&#x2212;0.29&#x2013;2.79)</td>
<td valign="middle" align="center">1.59</td>
<td valign="middle" align="center">0.1115</td>
</tr>
<tr>
<td valign="middle" align="center">BMI (kg/m<sup>2</sup>)</td>
<td valign="middle" align="center">23.99 &#xb1; 4.29</td>
<td valign="middle" align="center">24.47 &#xb1; 4.23</td>
<td valign="middle" align="center">0.48 (&#x2212;0.05&#x2013;1.01)</td>
<td valign="middle" align="center">1.79</td>
<td valign="middle" align="center">0.0734</td>
</tr>
<tr>
<td valign="middle" align="center">Waist (cm)</td>
<td valign="middle" align="center">85.10 &#xb1; 11.61</td>
<td valign="middle" align="center">85.75 &#xb1; 11.35</td>
<td valign="middle" align="center">0.65 (&#x2212;0.78&#x2013;2.07)</td>
<td valign="middle" align="center">0.89</td>
<td valign="middle" align="center">0.3722</td>
</tr>
<tr>
<td valign="middle" align="center">Hip (cm)</td>
<td valign="middle" align="center">98.25 &#xb1; 8.49</td>
<td valign="middle" align="center">98.65 &#xb1; 8.76</td>
<td valign="middle" align="center">0.40 (&#x2212;0.67&#x2013;1.48)</td>
<td valign="middle" align="center">0.74</td>
<td valign="middle" align="center">0.4598</td>
</tr>
<tr>
<td valign="middle" align="center">WHR</td>
<td valign="middle" align="center">0.86 &#xb1; 0.07</td>
<td valign="middle" align="center">0.87 &#xb1; 0.07</td>
<td valign="middle" align="center">0.00 (&#x2212;0.01&#x2013;0.01)</td>
<td valign="middle" align="center">&#x2212;0.84</td>
<td valign="middle" align="center">0.4006</td>
</tr>
<tr>
<td valign="middle" align="center">Systolic pressure (mmHg)</td>
<td valign="middle" align="center">112.00 &#xb1; 9.33</td>
<td valign="middle" align="center">112.61 &#xb1; 9.49</td>
<td valign="middle" align="center">0.61 (&#x2212;0.55&#x2013;1.78)</td>
<td valign="middle" align="center">1.03</td>
<td valign="middle" align="center">0.3026</td>
</tr>
<tr>
<td valign="middle" align="center">Diastolic pressure (mmHg)</td>
<td valign="middle" align="center">74.80 &#xb1; 7.86</td>
<td valign="middle" align="center">74.91 &#xb1; 7.93</td>
<td valign="middle" align="center">0.11 (&#x2212;0.87&#x2013;1.09)</td>
<td valign="middle" align="center">0.22</td>
<td valign="middle" align="center">0.8233</td>
</tr>
<tr>
<td valign="middle" align="center">Respiration (beats/min)</td>
<td valign="middle" align="center">18.09 &#xb1; 1.69</td>
<td valign="middle" align="center">18.01 &#xb1; 1.51</td>
<td valign="middle" align="center">&#x2212;0.08 (&#x2212;0.28&#x2013;0.12)</td>
<td valign="middle" align="center">&#x2212;0.83</td>
<td valign="middle" align="center">0.409</td>
</tr>
<tr>
<td valign="middle" align="center">Pulse (beats/min)</td>
<td valign="middle" align="center">75.91 &#xb1; 6.33</td>
<td valign="middle" align="center">76.22 &#xb1; 6.15</td>
<td valign="middle" align="center">0.31 (&#x2212;0.47&#x2013;1.08)</td>
<td valign="middle" align="center">0.78</td>
<td valign="middle" align="center">0.4373</td>
</tr>
<tr>
<td valign="middle" align="center">Ferriman-Gallwey</td>
<td valign="middle" align="center">3.14 &#xb1; 2.85</td>
<td valign="middle" align="center">2.93 &#xb1; 2.76</td>
<td valign="middle" align="center">&#x2212;0.22 (&#x2212;0.57&#x2013;0.13)</td>
<td valign="middle" align="center">&#x2212;1.23</td>
<td valign="middle" align="center">0.2189</td>
</tr>
<tr>
<td valign="middle" align="center">Acne sore</td>
<td valign="top" align="center">1.76 &#xb1; 0.73</td>
<td valign="top" align="center">1.71 &#xb1; 0.64</td>
<td valign="middle" align="center">&#x2212;0.05 (&#x2212;0.14&#x2013;0.04)</td>
<td valign="middle" align="center">&#x2212;1.1</td>
<td valign="middle" align="center">0.2724</td>
</tr>
<tr>
<td valign="middle" align="center">Acanthosis nigricans</td>
<td valign="top" align="center">1.73 &#xb1; 0.61</td>
<td valign="top" align="center">1.73 &#xb1; 0.68</td>
<td valign="middle" align="center">&#x2212;0.00 (&#x2212;0.09&#x2013;0.08)</td>
<td valign="middle" align="center">&#x2212;0.09</td>
<td valign="middle" align="center">0.9274</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Metabolic parameters</th>
</tr>
<tr>
<td valign="middle" align="center">HOMA-IR</td>
<td valign="middle" align="center">23.82 &#xb1; 28.76</td>
<td valign="middle" align="center">21.68 &#xb1; 21.29</td>
<td valign="middle" align="center">&#x2212;2.14 (&#x2212;5.37&#x2013;1.08)</td>
<td valign="middle" align="center">&#x2212;1.30</td>
<td valign="middle" align="center">0.1926</td>
</tr>
<tr>
<td valign="middle" align="center">Metabolic syndrome</td>
<td valign="middle" align="center">71 (14.2)</td>
<td valign="middle" align="center">83 (16.6)</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">0.2931</td>
</tr>
<tr>
<td valign="middle" align="center">FPG (mmol/L)</td>
<td valign="middle" align="center">5.07 &#xb1; 0.93</td>
<td valign="middle" align="center">5.01 &#xb1; 1.04</td>
<td valign="middle" align="center">&#x2212;0.06 (&#x2212;0.19&#x2013;0.06)</td>
<td valign="middle" align="center">&#x2212;0.95</td>
<td valign="middle" align="center">0.3408</td>
</tr>
<tr>
<td valign="middle" align="center">FINS (pmol/L)</td>
<td valign="middle" align="center">99.18 &#xb1; 96.88</td>
<td valign="middle" align="center">92.97 &#xb1; 78.74</td>
<td valign="middle" align="center">&#x2212;6.21 (&#x2212;17.41&#x2013;4.99)</td>
<td valign="middle" align="center">&#x2212;1.09</td>
<td valign="middle" align="center">0.277</td>
</tr>
<tr>
<td valign="middle" align="center">Hcy (&#x3bc;mol/L)</td>
<td valign="middle" align="center">8.39 &#xb1; 5.07</td>
<td valign="middle" align="center">8.29 &#xb1; 4.64</td>
<td valign="middle" align="center">&#x2212;0.10 (&#x2212;0.72&#x2013;0.53)</td>
<td valign="middle" align="center">&#x2212;0.31</td>
<td valign="middle" align="center">0.7574</td>
</tr>
<tr>
<td valign="middle" align="center">HDL-C (mmol/L)</td>
<td valign="middle" align="center">1.29 &#xb1; 0.36</td>
<td valign="middle" align="center">1.26 &#xb1; 0.38</td>
<td valign="middle" align="center">&#x2212;0.03 (&#x2212;0.08&#x2013;0.02)</td>
<td valign="middle" align="center">&#x2212;1.32</td>
<td valign="middle" align="center">0.1861</td>
</tr>
<tr>
<td valign="middle" align="center">LDL-C (mmol/L)</td>
<td valign="middle" align="center">3.00 &#xb1; 0.89</td>
<td valign="middle" align="center">2.93 &#xb1; 0.86</td>
<td valign="middle" align="center">&#x2212;0.06 (&#x2212;0.18&#x2013;0.05)</td>
<td valign="middle" align="center">&#x2212;1.15</td>
<td valign="middle" align="center">0.2511</td>
</tr>
<tr>
<td valign="middle" align="center">Lipoprotein (mg/L)</td>
<td valign="middle" align="center">132.65 &#xb1; 101.58</td>
<td valign="middle" align="center">126.32 &#xb1; 97.97</td>
<td valign="middle" align="center">&#x2212;6.34 (&#x2212;19.01&#x2013;6.34)</td>
<td valign="middle" align="center">&#x2212;0.98</td>
<td valign="middle" align="center">0.3268</td>
</tr>
<tr>
<td valign="middle" align="center">Total cholesterol (mmol/L)</td>
<td valign="middle" align="center">4.80 &#xb1; 1.10</td>
<td valign="middle" align="center">4.68 &#xb1; 1.07</td>
<td valign="middle" align="center">&#x2212;0.11 (&#x2212;0.25&#x2013;0.02)</td>
<td valign="middle" align="center">&#x2212;1.62</td>
<td valign="middle" align="center">0.105</td>
</tr>
<tr>
<td valign="middle" align="center">Triglyceride (mmol/L)</td>
<td valign="middle" align="center">1.59 &#xb1; 0.95</td>
<td valign="middle" align="center">1.55 &#xb1; 0.87</td>
<td valign="middle" align="center">&#x2212;0.03 (&#x2212;0.15&#x2013;0.08)</td>
<td valign="middle" align="center">&#x2212;0.58</td>
<td valign="middle" align="center">0.559</td>
</tr>
<tr>
<td valign="middle" align="center">Apo A1(g/L)</td>
<td valign="middle" align="center">1.53 &#xb1; 0.31</td>
<td valign="middle" align="center">1.49 &#xb1; 0.32</td>
<td valign="middle" align="center">&#x2212;0.04 (&#x2212;0.08 to &#x2212;0.00)</td>
<td valign="middle" align="center">&#x2212;1.99</td>
<td valign="middle" align="center">0.0474</td>
</tr>
<tr>
<td valign="middle" align="center">Apo B (g/L)</td>
<td valign="middle" align="center">0.91 &#xb1; 0.29</td>
<td valign="middle" align="center">0.89 &#xb1; 0.28</td>
<td valign="middle" align="center">&#x2212;0.02 (&#x2212;0.06&#x2013;0.02)</td>
<td valign="middle" align="center">&#x2212;1.11</td>
<td valign="middle" align="center">0.2669</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Serum ion test</th>
</tr>
<tr>
<td valign="middle" align="center">Ca (mmol/L)</td>
<td valign="middle" align="center">1.95 &#xb1; 0.43</td>
<td valign="middle" align="center">1.96 &#xb1; 0.39</td>
<td valign="middle" align="center">0.02 (&#x2212;0.03&#x2013;0.07)</td>
<td valign="middle" align="center">0.68</td>
<td valign="middle" align="center">0.4978</td>
</tr>
<tr>
<td valign="middle" align="center">P (mmol/L)</td>
<td valign="middle" align="center">1.13 &#xb1; 0.26</td>
<td valign="middle" align="center">1.15 &#xb1; 0.34</td>
<td valign="middle" align="center">0.02 (&#x2212;0.02&#x2013;0.06)</td>
<td valign="middle" align="center">0.9</td>
<td valign="middle" align="center">0.3666</td>
</tr>
<tr>
<td valign="middle" align="center">Mg (mmol/L)</td>
<td valign="middle" align="center">0.86 &#xb1; 0.18</td>
<td valign="middle" align="center">0.87 &#xb1; 0.15</td>
<td valign="middle" align="center">0.00 (&#x2212;0.02&#x2013;0.03)</td>
<td valign="middle" align="center">0.44</td>
<td valign="middle" align="center">0.6568</td>
</tr>
<tr>
<td valign="middle" align="center">K (mmol/L)</td>
<td valign="middle" align="center">4.14 &#xb1; 0.92</td>
<td valign="middle" align="center">4.23 &#xb1; 0.88</td>
<td valign="middle" align="center">0.09 (&#x2212;0.03&#x2013;0.20)</td>
<td valign="middle" align="center">1.5</td>
<td valign="middle" align="center">0.1329</td>
</tr>
<tr>
<td valign="middle" align="center">Na (mmol/L)</td>
<td valign="middle" align="center">135.66 &#xb1; 16.12</td>
<td valign="middle" align="center">136.53 &#xb1; 14.21</td>
<td valign="middle" align="center">0.87 (&#x2212;1.08&#x2013;2.81)</td>
<td valign="middle" align="center">0.88</td>
<td valign="middle" align="center">0.3815</td>
</tr>
<tr>
<td valign="middle" align="center">Cl (mmol/L)</td>
<td valign="middle" align="center">93.39 &#xb1; 12.24</td>
<td valign="middle" align="center">94.08 &#xb1; 10.86</td>
<td valign="middle" align="center">0.69 (&#x2212;0.79&#x2013;2.16)</td>
<td valign="middle" align="center">0.91</td>
<td valign="middle" align="center">0.3631</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are median (IQR).</p>
</fn>
<fn>
<p>p-value represents comparison between acupuncture and sham acupuncture groups before treatment.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The quality of life outcomes sore at baseline.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">Acupuncture group<break/>(<italic>n</italic> = 458)</th>
<th valign="middle" align="center">Sham acupuncture group<break/>(<italic>n</italic> = 468)</th>
<th valign="middle" align="center">Mean difference<break/>(95% CI)</th>
<th valign="middle" align="center">
<italic>t</italic>
</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">SAS score</td>
<td valign="middle" align="center">33.71 &#xb1; 6.93</td>
<td valign="middle" align="center">33.86 &#xb1; 6.82</td>
<td valign="middle" align="center">0.15 (&#x2212;0.70&#x2013;1.01)</td>
<td valign="middle" align="center">0.35</td>
<td valign="middle" align="center">0.7245</td>
</tr>
<tr>
<td valign="middle" align="center">SDS score</td>
<td valign="middle" align="center">35.24 &#xb1; 8.61</td>
<td valign="middle" align="center">35.48 &#xb1; 8.21</td>
<td valign="middle" align="center">0.24 (&#x2212;0.81&#x2013;1.29)</td>
<td valign="middle" align="center">0.45</td>
<td valign="middle" align="center">0.6525</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>PCOSQOL score</bold>
</td>
<td valign="middle" align="center">127.88 &#xb1; 28.38</td>
<td valign="middle" align="center">127.09 &#xb1; 29.47</td>
<td valign="middle" align="center">&#x2212;0.79 (&#x2212;4.38&#x2013;2.81)</td>
<td valign="middle" align="center">&#x2212;0.43</td>
<td valign="middle" align="center">0.6672</td>
</tr>
<tr>
<td valign="middle" align="center">Emotions</td>
<td valign="middle" align="center">4.27 &#xb1; 1.11</td>
<td valign="middle" align="center">4.31 &#xb1; 1.14</td>
<td valign="middle" align="center">0.04 (&#x2212;0.10&#x2013;0.18)</td>
<td valign="middle" align="center">0.56</td>
<td valign="middle" align="center">0.5777</td>
</tr>
<tr>
<td valign="middle" align="center">Body hair</td>
<td valign="middle" align="center">5.31 &#xb1; 1.52</td>
<td valign="middle" align="center">5.25 &#xb1; 1.61</td>
<td valign="middle" align="center">&#x2212;0.06 (&#x2212;0.26&#x2013;0.13)</td>
<td valign="middle" align="center">&#x2212;0.63</td>
<td valign="middle" align="center">0.5276</td>
</tr>
<tr>
<td valign="middle" align="center">Weight</td>
<td valign="middle" align="center">4.29 &#xb1; 1.72</td>
<td valign="middle" align="center">4.20 &#xb1; 1.69</td>
<td valign="middle" align="center">&#x2212;0.08 (&#x2212;0.29&#x2013;0.13)</td>
<td valign="middle" align="center">&#x2212;0.75</td>
<td valign="middle" align="center">0.4515</td>
</tr>
<tr>
<td valign="middle" align="center">Infertility</td>
<td valign="middle" align="center">3.65 &#xb1; 1.35</td>
<td valign="middle" align="center">3.64 &#xb1; 1.41</td>
<td valign="middle" align="center">&#x2212;0.01 (&#x2212;0.18&#x2013;0.16)</td>
<td valign="middle" align="center">&#x2212;0.08</td>
<td valign="middle" align="center">0.9368</td>
</tr>
<tr>
<td valign="middle" align="center">Menstrual problems</td>
<td valign="middle" align="center">4.41 &#xb1; 1.10</td>
<td valign="middle" align="center">4.35 &#xb1; 1.14</td>
<td valign="middle" align="center">&#x2212;0.06 (&#x2212;0.20&#x2013;0.08)</td>
<td valign="middle" align="center">&#x2212;0.9</td>
<td valign="middle" align="center">0.3666</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SF</bold>-<bold>36 score</bold>
</td>
<td valign="middle" align="center">104.15 &#xb1; 4.52</td>
<td valign="middle" align="center">104.06 &#xb1; 4.54</td>
<td valign="middle" align="center">&#x2212;0.09 (&#x2212;0.65&#x2013;0.47)</td>
<td valign="middle" align="center">&#x2212;0.32</td>
<td valign="middle" align="center">0.7518</td>
</tr>
<tr>
<td valign="middle" align="center">Physical functioning</td>
<td valign="middle" align="center">93.36 &#xb1; 9.70</td>
<td valign="middle" align="center">93.29 &#xb1; 9.53</td>
<td valign="middle" align="center">&#x2212;0.07 (&#x2212;1.26&#x2013;1.13)</td>
<td valign="middle" align="center">&#x2212;0.11</td>
<td valign="middle" align="center">0.9126</td>
</tr>
<tr>
<td valign="middle" align="center">Role-physical</td>
<td valign="middle" align="center">23.35 &#xb1; 29.99</td>
<td valign="middle" align="center">21.49 &#xb1; 30.55</td>
<td valign="middle" align="center">&#x2212;1.86 (&#x2212;5.62&#x2013;1.90)</td>
<td valign="middle" align="center">&#x2212;0.97</td>
<td valign="middle" align="center">0.3321</td>
</tr>
<tr>
<td valign="middle" align="center">Bodily pain</td>
<td valign="middle" align="center">77.64 &#xb1; 12.96</td>
<td valign="middle" align="center">76.75 &#xb1; 13.68</td>
<td valign="middle" align="center">&#x2212;0.89 (&#x2212;2.54&#x2013;0.77)</td>
<td valign="middle" align="center">&#x2212;1.05</td>
<td valign="middle" align="center">0.2933</td>
</tr>
<tr>
<td valign="middle" align="center">General health</td>
<td valign="middle" align="center">52.91 &#xb1; 11.64</td>
<td valign="middle" align="center">53.39 &#xb1; 12.20</td>
<td valign="middle" align="center">0.48 (&#x2212;1.01&#x2013;1.96)</td>
<td valign="middle" align="center">0.63</td>
<td valign="middle" align="center">0.5288</td>
</tr>
<tr>
<td valign="middle" align="center">Vitality</td>
<td valign="middle" align="center">42.73 &#xb1; 11.92</td>
<td valign="middle" align="center">42.20 &#xb1; 12.36</td>
<td valign="middle" align="center">&#x2212;0.53 (&#x2212;2.04&#x2013;0.98)</td>
<td valign="middle" align="center">&#x2212;0.69</td>
<td valign="middle" align="center">0.4897</td>
</tr>
<tr>
<td valign="middle" align="center">Social functioning</td>
<td valign="middle" align="center">49.00 &#xb1; 13.09</td>
<td valign="middle" align="center">48.95 &#xb1; 10.97</td>
<td valign="middle" align="center">&#x2212;0.05 (&#x2212;1.55&#x2013;1.45)</td>
<td valign="middle" align="center">&#x2212;0.07</td>
<td valign="middle" align="center">0.9435</td>
</tr>
<tr>
<td valign="middle" align="center">Role-emotional</td>
<td valign="middle" align="center">26.40 &#xb1; 34.62</td>
<td valign="middle" align="center">24.23 &#xb1; 34.90</td>
<td valign="middle" align="center">&#x2212;2.17 (&#x2212;6.49&#x2013;2.15)</td>
<td valign="middle" align="center">&#x2212;0.99</td>
<td valign="middle" align="center">0.3244</td>
</tr>
<tr>
<td valign="middle" align="center">Mental health</td>
<td valign="middle" align="center">60.02 &#xb1; 10.46</td>
<td valign="middle" align="center">60.84 &#xb1; 9.89</td>
<td valign="middle" align="center">0.83 (&#x2212;0.44&#x2013;2.09)</td>
<td valign="middle" align="center">1.28</td>
<td valign="middle" align="center">0.1997</td>
</tr>
<tr>
<td valign="middle" align="center">Health transition</td>
<td valign="middle" align="center">48.55 &#xb1; 25.80</td>
<td valign="middle" align="center">47.29 &#xb1; 25.62</td>
<td valign="middle" align="center">&#x2212;1.26 (&#x2212;4.46&#x2013;1.93)</td>
<td valign="middle" align="center">&#x2212;0.77</td>
<td valign="middle" align="center">0.4388</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>ChiQOL score</bold>
</td>
<td valign="middle" align="center">148.20 &#xb1; 11.04</td>
<td valign="middle" align="center">148.22 &#xb1; 11.28</td>
<td valign="middle" align="center">0.03 (&#x2212;1.36&#x2013;1.42)</td>
<td valign="middle" align="center">0.04</td>
<td valign="middle" align="center">0.9674</td>
</tr>
<tr>
<td valign="middle" align="center">Physical form domain</td>
<td valign="middle" align="center">3.35 &#xb1; 0.80</td>
<td valign="middle" align="center">3.25 &#xb1; 0.85</td>
<td valign="middle" align="center">&#x2212;0.10 (&#x2212;0.20&#x2013;0.00)</td>
<td valign="middle" align="center">&#x2212;1.93</td>
<td valign="middle" align="center">0.0536</td>
</tr>
<tr>
<td valign="middle" align="center">Spirit domain</td>
<td valign="middle" align="center">95.53 &#xb1; 8.36</td>
<td valign="middle" align="center">95.58 &#xb1; 8.21</td>
<td valign="middle" align="center">0.05 (&#x2212;0.98&#x2013;1.08)</td>
<td valign="middle" align="center">0.1</td>
<td valign="middle" align="center">0.9176</td>
</tr>
<tr>
<td valign="middle" align="center">Emotion domain</td>
<td valign="middle" align="center">49.32 &#xb1; 7.04</td>
<td valign="middle" align="center">49.39 &#xb1; 7.03</td>
<td valign="middle" align="center">0.08 (&#x2212;0.80&#x2013;0.95)</td>
<td valign="middle" align="center">0.17</td>
<td valign="middle" align="center">0.8654</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are median (IQR).</p>
</fn>
<fn>
<p>p-value represents comparison between acupuncture and sham acupuncture groups before treatment.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Biological features</title>
<p>Acne scores and AN of biological features were decreased after acupuncture intervention in both groups after adjusting clomiphene and reproductive outcome (<italic>p</italic>&lt; 0.001). Also, there was a significant decrease in acne scores in the acupuncture group after intervention, compared with the sham acupuncture group (adjusted <italic>p</italic> = 0.0102). By contrast, no significant difference in weight, BMI, waist, hip, WHR, systolic pressure, diastolic pressure, respiration, pulse, and Ferriman-Gallwey were found when comparing pre-treatment and post-treatment or between acupuncture and sham acupuncture (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Metabolic parameters and serum ion after acupuncture and sham acupuncture.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left"/>
<th valign="middle" colspan="4" align="center">Acupuncture group</th>
<th valign="middle" colspan="4" align="center">Sham acupuncture group</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>    <tr>
<th valign="middle" align="center">Pre-treatment<break/>(<italic>n</italic> = 458)</th>
<th valign="middle" align="center">Post-treatment<break/>(<italic>n</italic> = 458)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">Pre-treatment<break/>(<italic>n</italic> = 468)</th>
<th valign="middle" align="center">Post-treatment<break/>(<italic>n</italic> = 468)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<xref ref-type="table-fn" rid="fnT3_1">
<sup>a</sup>
</xref>
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>p</italic>1</th>
<th valign="middle" align="center">
<xref ref-type="table-fn" rid="fnT3_1">
<sup>a</sup>
</xref>
<italic>p</italic>1</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="11" align="left">Biological features</th>
</tr>
<tr>
<td valign="middle" align="center">Weight (kg)</td>
<td valign="middle" align="center">62.53 &#xb1; 12.39</td>
<td valign="middle" align="center">62.26 &#xb1; 12.39</td>
<td valign="middle" align="center">0.7382</td>
<td valign="middle" align="center">0.7895</td>
<td valign="middle" align="center">63.78 &#xb1; 12.45</td>
<td valign="middle" align="center">63.52 &#xb1; 11.98</td>
<td valign="middle" align="center">0.7410</td>
<td valign="middle" align="center">0.7683</td>
<td valign="middle" align="center">0.9118</td>
<td valign="top" align="center">0.9011</td>
</tr>
<tr>
<td valign="middle" align="center">BMI (kg/m<sup>2</sup>)</td>
<td valign="middle" align="center">23.99 &#xb1; 4.29</td>
<td valign="middle" align="center">23.90 &#xb1; 4.29</td>
<td valign="middle" align="center">0.7424</td>
<td valign="middle" align="center">0.7915</td>
<td valign="middle" align="center">24.47 &#xb1; 4.23</td>
<td valign="middle" align="center">24.39 &#xb1; 4.10</td>
<td valign="middle" align="center">0.7488</td>
<td valign="middle" align="center">0.7782</td>
<td valign="middle" align="center">0.8839</td>
<td valign="top" align="center">0.8954</td>
</tr>
<tr>
<td valign="middle" align="center">Waist (cm)</td>
<td valign="middle" align="center">85.10 &#xb1; 11.61</td>
<td valign="middle" align="center">84.85 &#xb1; 11.54</td>
<td valign="middle" align="center">0.7391</td>
<td valign="middle" align="center">0.7677</td>
<td valign="middle" align="center">85.75 &#xb1; 11.35</td>
<td valign="middle" align="center">85.39 &#xb1; 11.09</td>
<td valign="middle" align="center">0.6134</td>
<td valign="middle" align="center">0.6378</td>
<td valign="middle" align="center">0.9752</td>
<td valign="top" align="center">0.9761</td>
</tr>
<tr>
<td valign="middle" align="center">Hip (cm)</td>
<td valign="middle" align="center">98.25 &#xb1; 8.49</td>
<td valign="middle" align="center">98.15 &#xb1; 8.58</td>
<td valign="middle" align="center">0.8607</td>
<td valign="middle" align="center">0.8814</td>
<td valign="middle" align="center">98.65 &#xb1; 8.76</td>
<td valign="middle" align="center">98.45 &#xb1; 8.58</td>
<td valign="middle" align="center">0.7115</td>
<td valign="middle" align="center">0.7279</td>
<td valign="middle" align="center">0.8975</td>
<td valign="top" align="center">0.8912</td>
</tr>
<tr>
<td valign="middle" align="center">WHR</td>
<td valign="middle" align="center">161.24 &#xb1; 5.02</td>
<td valign="middle" align="center">161.24 &#xb1; 5.08</td>
<td valign="middle" align="center">0.9887</td>
<td valign="middle" align="center">0.7548</td>
<td valign="middle" align="center">0.87 &#xb1; 0.07</td>
<td valign="middle" align="center">0.87 &#xb1; 0.07</td>
<td valign="middle" align="center">0.7101</td>
<td valign="middle" align="center">0.7328</td>
<td valign="top" align="center">0.8666</td>
<td valign="top" align="center">0.8638</td>
</tr>
<tr>
<td valign="middle" align="center">Systolic pressure (mmHg)</td>
<td valign="middle" align="center">112.00 &#xb1; 9.33</td>
<td valign="middle" align="center">112.07 &#xb1; 8.59</td>
<td valign="middle" align="center">0.9024</td>
<td valign="middle" align="center">0.8631</td>
<td valign="middle" align="center">112.61 &#xb1; 9.49</td>
<td valign="middle" align="center">112.48 &#xb1; 8.51</td>
<td valign="middle" align="center">0.8248</td>
<td valign="middle" align="center">0.8321</td>
<td valign="middle" align="center">0.486</td>
<td valign="top" align="center">0.4861</td>
</tr>
<tr>
<td valign="middle" align="center">Diastolic pressure (mmHg)</td>
<td valign="middle" align="center">74.80 &#xb1; 7.86</td>
<td valign="middle" align="center">74.95 &#xb1; 7.54</td>
<td valign="middle" align="center">0.7725</td>
<td valign="middle" align="center">0.7577</td>
<td valign="middle" align="center">74.91 &#xb1; 7.93</td>
<td valign="middle" align="center">75.48 &#xb1; 7.73</td>
<td valign="middle" align="center">0.2598</td>
<td valign="middle" align="center">0.2525</td>
<td valign="middle" align="center">0.3863</td>
<td valign="top" align="center">0.3822</td>
</tr>
<tr>
<td valign="middle" align="center">Respiration (beats/min)</td>
<td valign="middle" align="center">18.09 &#xb1; 1.69</td>
<td valign="middle" align="center">17.96 &#xb1; 1.72</td>
<td valign="middle" align="center">0.2204</td>
<td valign="middle" align="center">0.2308</td>
<td valign="middle" align="center">18.01 &#xb1; 1.51</td>
<td valign="middle" align="center">18.02 &#xb1; 1.76</td>
<td valign="middle" align="center">0.8988</td>
<td valign="middle" align="center">0.9181</td>
<td valign="middle" align="center">0.109</td>
<td valign="top" align="center">0.1162</td>
</tr>
<tr>
<td valign="middle" align="center">Pulse (beats/min)</td>
<td valign="middle" align="center">75.91 &#xb1; 6.33</td>
<td valign="middle" align="center">76.03 &#xb1; 6.39</td>
<td valign="middle" align="center">0.7769</td>
<td valign="middle" align="center">0.7647</td>
<td valign="middle" align="center">76.22 &#xb1; 6.15</td>
<td valign="middle" align="center">76.20 &#xb1; 5.94</td>
<td valign="middle" align="center">0.9668</td>
<td valign="middle" align="center">0.9624</td>
<td valign="middle" align="center">0.8016</td>
<td valign="top" align="center">0.8114</td>
</tr>
<tr>
<td valign="middle" align="center">Ferriman-Gallwey</td>
<td valign="middle" align="center">3.14 &#xb1; 2.85</td>
<td valign="middle" align="center">2.81 &#xb1; 2.70</td>
<td valign="middle" align="center">0.0639</td>
<td valign="middle" align="center">0.0670</td>
<td valign="middle" align="center">2.93 &#xb1; 2.76</td>
<td valign="middle" align="center">2.67 &#xb1; 2.66</td>
<td valign="middle" align="center">0.1420</td>
<td valign="middle" align="center">0.1465</td>
<td valign="middle" align="center">0.5203</td>
<td valign="top" align="center">0.5105</td>
</tr>
<tr>
<td valign="middle" align="center">Acne score</td>
<td valign="middle" align="center">0.70 &#xb1; 0.46</td>
<td valign="middle" align="center">0.24 &#xb1; 0.43</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.65 &#xb1; 0.48</td>
<td valign="middle" align="center">0.27 &#xb1; 0.44</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.0096</td>
<td valign="top" align="center">0.0102</td>
</tr>
<tr>
<td valign="middle" align="center">Acanthosis nigricans</td>
<td valign="middle" align="center">1.21 &#xb1; 0.47</td>
<td valign="middle" align="center">0.18 &#xb1; 0.44</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">1.21 &#xb1; 0.48</td>
<td valign="middle" align="center">0.19 &#xb1; 0.44</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.81</td>
<td valign="top" align="center">0.8395</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Metabolic parameters</th>
</tr>
<tr>
<td valign="middle" align="center">HOMA-IR</td>
<td valign="middle" align="center">23.82 &#xb1; 28.76</td>
<td valign="middle" align="center">26.24 &#xb1; 33.12</td>
<td valign="middle" align="center">0.2381</td>
<td valign="middle" align="center">0.2310</td>
<td valign="middle" align="center">21.68 &#xb1; 21.29</td>
<td valign="middle" align="center">23.28 &#xb1; 22.70</td>
<td valign="middle" align="center">0.2706</td>
<td valign="middle" align="center">0.2659</td>
<td valign="top" align="center">0.8554</td>
<td valign="top" align="center">0.8736</td>
</tr>
<tr>
<td valign="middle" align="center">Metabolic syndrome</td>
<td valign="middle" align="center">71(14.2)</td>
<td valign="middle" align="center">57(11.4)</td>
<td valign="middle" align="center">0.1851</td>
<td valign="middle" align="center">0.1831</td>
<td valign="middle" align="center">83(16.6)</td>
<td valign="middle" align="center">68(13.6)</td>
<td valign="middle" align="center">0.1852</td>
<td valign="middle" align="center">0.1840</td>
<td valign="middle" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="middle" align="center">FPG (mmol/L)</td>
<td valign="middle" align="center">5.07 &#xb1; 0.93</td>
<td valign="middle" align="center">5.07 &#xb1; 1.27</td>
<td valign="middle" align="center">0.9712</td>
<td valign="middle" align="center">0.9980</td>
<td valign="middle" align="center">5.01 &#xb1; 1.04</td>
<td valign="middle" align="center">4.99 &#xb1; 1.19</td>
<td valign="middle" align="center">0.7457</td>
<td valign="middle" align="center">0.6999</td>
<td valign="middle" align="center">0.5941</td>
<td valign="top" align="center">0.5654</td>
</tr>
<tr>
<td valign="middle" align="center">FINS (pmol/L)</td>
<td valign="middle" align="center">99.18 &#xb1; 96.88</td>
<td valign="middle" align="center">107.25 &#xb1; 105.13</td>
<td valign="middle" align="center">0.2243</td>
<td valign="middle" align="center">0.2199</td>
<td valign="middle" align="center">92.97 &#xb1; 78.74</td>
<td valign="middle" align="center">100.59 &#xb1; 86.67</td>
<td valign="middle" align="center">0.1609</td>
<td valign="middle" align="center">0.1565</td>
<td valign="middle" align="center">0.8581</td>
<td valign="top" align="center">0.8393</td>
</tr>
<tr>
<td valign="middle" align="center">Hcy (&#x3bc;mol/L)</td>
<td valign="middle" align="center">8.39 &#xb1; 5.07</td>
<td valign="middle" align="center">6.76 &#xb1; 4.29</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">8.29 &#xb1; 4.64</td>
<td valign="middle" align="center">6.26 &#xb1; 3.69</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.1128</td>
<td valign="middle" align="center">0.0972</td>
</tr>
<tr>
<td valign="middle" align="center">HDL-C (mmol/L)</td>
<td valign="middle" align="center">1.29 &#xb1; 0.36</td>
<td valign="middle" align="center">1.33 &#xb1; 0.41</td>
<td valign="middle" align="center">0.1140</td>
<td valign="middle" align="center">0.1175</td>
<td valign="middle" align="center">1.26 &#xb1; 0.38</td>
<td valign="middle" align="center">1.29 &#xb1; 0.39</td>
<td valign="middle" align="center">0.2772</td>
<td valign="middle" align="center">0.2872</td>
<td valign="middle" align="center">0.6753</td>
<td valign="middle" align="center">0.6600</td>
</tr>
<tr>
<td valign="middle" align="center">LDL-C (mmol/L)</td>
<td valign="middle" align="center">3.00 &#xb1; 0.89</td>
<td valign="middle" align="center">2.86 &#xb1; 1.06</td>
<td valign="middle" align="center">0.0346</td>
<td valign="middle" align="center">0.0365</td>
<td valign="middle" align="center">2.93 &#xb1; 0.86</td>
<td valign="middle" align="center">2.75 &#xb1; 0.91</td>
<td valign="middle" align="center">0.0012</td>
<td valign="middle" align="center">0.0012</td>
<td valign="middle" align="center">0.6249</td>
<td valign="top" align="center">0.5895</td>
</tr>
<tr>
<td valign="middle" align="center">Lipoprotein &#x3b1;(mg/L)</td>
<td valign="middle" align="center">132.65 &#xb1; 101.58</td>
<td valign="middle" align="center">187.75 &#xb1; 111.97</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">126.32 &#xb1; 97.97</td>
<td valign="middle" align="center">176.7 &#xb1; 113.90</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.4808</td>
<td valign="top" align="center">0.5429</td>
</tr>
<tr>
<td valign="middle" align="center">Total cholesterol (mmol/L)</td>
<td valign="middle" align="center">4.80 &#xb1; 1.10</td>
<td valign="middle" align="center">4.65 &#xb1; 1.28</td>
<td valign="middle" align="center">0.0610</td>
<td valign="middle" align="center">0.0691</td>
<td valign="middle" align="center">4.68 &#xb1; 1.07</td>
<td valign="middle" align="center">4.51 &#xb1; 1.16</td>
<td valign="middle" align="center">0.0213</td>
<td valign="middle" align="center">0.0204</td>
<td valign="middle" align="center">0.9273</td>
<td valign="top" align="center">0.8891</td>
</tr>
<tr>
<td valign="middle" align="center">Triglyceride (mmol/L)</td>
<td valign="middle" align="center">1.59 &#xb1; 0.95</td>
<td valign="middle" align="center">1.49 &#xb1; 0.85</td>
<td valign="middle" align="center">0.0969</td>
<td valign="middle" align="center">0.1055</td>
<td valign="middle" align="center">1.55 &#xb1; 0.87</td>
<td valign="middle" align="center">1.56 &#xb1; 0.98</td>
<td valign="middle" align="center">0.8853</td>
<td valign="middle" align="center">0.8612</td>
<td valign="middle" align="center">0.046</td>
<td valign="top" align="center">0.0476</td>
</tr>
<tr>
<td valign="middle" align="center">Apolipoprotein A1(g/L)</td>
<td valign="middle" align="center">1.53 &#xb1; 0.31</td>
<td valign="middle" align="center">1.57 &#xb1; 0.38</td>
<td valign="middle" align="center">0.0382</td>
<td valign="middle" align="center">0.0403</td>
<td valign="middle" align="center">1.49 &#xb1; 0.32</td>
<td valign="middle" align="center">1.54 &#xb1; 0.36</td>
<td valign="middle" align="center">0.0202</td>
<td valign="middle" align="center">0.0223</td>
<td valign="middle" align="center">0.63</td>
<td valign="top" align="center">0.6351</td>
</tr>
<tr>
<td valign="middle" align="center">Apolipoprotein B (g/L)</td>
<td valign="middle" align="center">0.91 &#xb1; 0.29</td>
<td valign="middle" align="center">0.88 &#xb1; 0.33</td>
<td valign="middle" align="center">0.2024</td>
<td valign="middle" align="center">0.2166</td>
<td valign="middle" align="center">0.89 &#xb1; 0.28</td>
<td valign="middle" align="center">0.86 &#xb1; 0.29</td>
<td valign="middle" align="center">0.1231</td>
<td valign="middle" align="center">0.1269</td>
<td valign="middle" align="center">0.8685</td>
<td valign="top" align="center">0.8823</td>
</tr>
<tr>
<td valign="middle" align="center">ApoA1/ApoB</td>
<td valign="middle" align="center">1.84 &#xb1; 0.70</td>
<td valign="middle" align="center">1.99 &#xb1; 0.77</td>
<td valign="middle" align="center">0.0023</td>
<td valign="middle" align="center">0.0024</td>
<td valign="middle" align="center">1.80 &#xb1; 0.59</td>
<td valign="middle" align="center">1.94 &#xb1; 0.66</td>
<td valign="middle" align="center">0.0007</td>
<td valign="middle" align="center">0.0008</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Serum ion test</th>
</tr>
<tr>
<td valign="middle" align="center">Ca (mmol/L)</td>
<td valign="middle" align="center">1.95 &#xb1; 0.43</td>
<td valign="middle" align="center">2.04 &#xb1; 0.55</td>
<td valign="middle" align="center">0.0026</td>
<td valign="middle" align="center">0.0025</td>
<td valign="middle" align="center">1.96 &#xb1; 0.39</td>
<td valign="middle" align="center">2.02 &#xb1; 0.55</td>
<td valign="middle" align="center">0.0703</td>
<td valign="middle" align="center">0.0608</td>
<td valign="middle" align="center">0.2101</td>
<td valign="top" align="center">0.1942</td>
</tr>
<tr>
<td valign="middle" align="center">P (mmol/L)</td>
<td valign="middle" align="center">1.13 &#xb1; 0.26</td>
<td valign="middle" align="center">1.11 &#xb1; 0.30</td>
<td valign="middle" align="center">0.4308</td>
<td valign="middle" align="center">0.4418</td>
<td valign="middle" align="center">1.15 &#xb1; 0.34</td>
<td valign="middle" align="center">1.13 &#xb1; 0.38</td>
<td valign="middle" align="center">0.5444</td>
<td valign="middle" align="center">0.6009</td>
<td valign="middle" align="center">0.8068</td>
<td valign="top" align="center">0.7768</td>
</tr>
<tr>
<td valign="middle" align="center">Mg (mmol/L)</td>
<td valign="middle" align="center">0.86 &#xb1; 0.18</td>
<td valign="middle" align="center">0.88 &#xb1; 0.21</td>
<td valign="middle" align="center">0.2758</td>
<td valign="middle" align="center">0.2735</td>
<td valign="middle" align="center">0.87 &#xb1; 0.15</td>
<td valign="middle" align="center">0.87 &#xb1; 0.21</td>
<td valign="middle" align="center">0.7689</td>
<td valign="middle" align="center">0.7219</td>
<td valign="middle" align="center">0.3738</td>
<td valign="top" align="center">0.3536</td>
</tr>
<tr>
<td valign="middle" align="center">K (mmol/L)</td>
<td valign="middle" align="center">4.14 &#xb1; 0.92</td>
<td valign="middle" align="center">4.44 &#xb1; 1.97</td>
<td valign="middle" align="center">0.0032</td>
<td valign="middle" align="center">0.0032</td>
<td valign="middle" align="center">4.23 &#xb1; 0.88</td>
<td valign="middle" align="center">4.32 &#xb1; 1.73</td>
<td valign="middle" align="center">0.3369</td>
<td valign="middle" align="center">0.3435</td>
<td valign="middle" align="center">0.0516</td>
<td valign="top" align="center">0.0502</td>
</tr>
<tr>
<td valign="middle" align="center">Na (mmol/L)</td>
<td valign="middle" align="center">135.66 &#xb1; 16.12</td>
<td valign="middle" align="center">136.96 &#xb1; 22.03</td>
<td valign="middle" align="center">0.3085</td>
<td valign="middle" align="center">0.3129</td>
<td valign="middle" align="center">136.53 &#xb1; 14.21</td>
<td valign="middle" align="center">136.61 &#xb1; 22.21</td>
<td valign="middle" align="center">0.9485</td>
<td valign="middle" align="center">0.9258</td>
<td valign="middle" align="center">0.233</td>
<td valign="top" align="center">0.2180</td>
</tr>
<tr>
<td valign="middle" align="center">Cl (mmol/L)</td>
<td valign="middle" align="center">93.39 &#xb1; 12.24</td>
<td valign="middle" align="center">97.88 &#xb1; 17.92</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">94.08 &#xb1; 10.86</td>
<td valign="middle" align="center">97.60 &#xb1; 18.04</td>
<td valign="middle" align="center">0.0003</td>
<td valign="middle" align="center">0.0003</td>
<td valign="middle" align="center">0.2471</td>
<td valign="top" align="center">0.2324</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are median (IQR).</p>
</fn>
<fn>
<p>p-values represent comparison before and after treatment within acupuncture and sham acupuncture groups.</p>
</fn>
<fn id="fnT3_1">
<label>a</label>
<p>p-values represent comparison before and after treatment within acupuncture and sham acupuncture groups after adjusting clomiphene and reproductive outcome.</p>
</fn>
<fn>
<p>p1-values represent comparison of the difference value before and after treatment between acupuncture and sham acupuncture groups.</p>
</fn>
<fn id="fnT3_2">
<label>a</label>
<p>p1-values represent comparison of the difference value before and after treatment between acupuncture and sham acupuncture groups after adjusting clomiphene and reproductive outcome.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Metabolic parameters</title>
<p>The level of serum Hcy was significantly decreased after treatment in both groups (adjusted <italic>p</italic>&lt; 0.001). Additionally, the levels of LDL-C and Apo A1 were significantly decreased, while the serum levels of lipoprotein &#x3b1;, Apo A1/Apo B, and TC were significantly increased after acupuncture treatment (adjusted <italic>p</italic>&lt; 0.05). By contrast, no significant differences in HOMA-IR, MetS, FPG, FINS, Hcy, HDL-C, LDL-C, lipoprotein &#x3b1;, TC, Apo A1, and Apo B (except for TG) were found when comparing pre-treatment and post-treatment or between acupuncture and sham acupuncture (adjusted <italic>p</italic> = 0.0476) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Serum ions</title>
<p>The levels of serum Cl, serum Ca, and serum K were both significantly increased in the acupuncture group after intervention of 4 months compared with pre-treatment (adjusted <italic>p</italic>&lt; 0.05). Also, the levels of Cl were increased in the sham acupuncture group. There were no significant differences in P, Mg, and Na when comparing pre-treatment and post-treatment or between acupuncture and sham acupuncture (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>The quality-of-life scales</title>
<p>The total scores, role-physical (RP) scores, and role-emotional (RE) scores of SF-36 were significantly increased after 4 months&#x2019; acupuncture intervention (adjusted <italic>p</italic>&lt; 0.05),but equally, the total score and emotion domain scores of ChiQOL scale were also significantly increased. By contrast, the scores on physical functioning (PF) and health transition (HT) of SF-36 were significantly decreased after intervention (adjusted <italic>p</italic>&lt; 0.05). Those same changes were found in the sham acupuncture group.</p>
<p>There were no significant differences in bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), RE, mental health (MH), and HT scores of SF-36 and total scores, emotion, body hair, weight, infertility problems of PCOSQOL, Physical Form Domain, and Spirit Domain of ChiQOL scores when comparing pre-treatment and post-treatment or between acupuncture and sham acupuncture, as well as SAS and SDS scores (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Quality of life outcomes score from pre-treatment to post-treatment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left"/>
<th valign="middle" colspan="4" align="center">Acupuncture group</th>
<th valign="middle" colspan="4" align="center">Sham acupuncture group</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>    <tr>
<th valign="middle" align="center">Pre-treatment<break/>(<italic>n</italic> = 458)</th>
<th valign="middle" align="center">Post-treatment<break/>(<italic>n</italic> = 458)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
<italic>p</italic>
</th>
<th valign="middle" align="center">Pre-treatment<break/>(<italic>n</italic> = 468)</th>
<th valign="middle" align="center">Post-treatment<break/>(<italic>n</italic> = 468)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>p</italic>1</th>
<th valign="middle" align="center">
<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
<italic>p</italic>1</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">SAS score</td>
<td valign="middle" align="center">33.71 &#xb1; 6.93</td>
<td valign="middle" align="center">34.50 &#xb1; 7.35</td>
<td valign="middle" align="center">0.0840</td>
<td valign="middle" align="center">0.0780</td>
<td valign="middle" align="center">33.86 &#xb1; 6.82</td>
<td valign="middle" align="center">34.20 &#xb1; 7.13</td>
<td valign="middle" align="center">0.4532</td>
<td valign="middle" align="center">0.4610</td>
<td valign="middle" align="center">0.1727</td>
<td valign="middle" align="center">0.1734</td>
</tr>
<tr>
<td valign="middle" align="center">SDS score</td>
<td valign="middle" align="center">35.24 &#xb1; 8.61</td>
<td valign="middle" align="center">36.13 &#xb1; 8.61</td>
<td valign="middle" align="center">0.1095</td>
<td valign="middle" align="center">0.1023</td>
<td valign="middle" align="center">35.48 &#xb1; 8.21</td>
<td valign="middle" align="center">36.09 &#xb1; 8.40</td>
<td valign="middle" align="center">0.2570</td>
<td valign="middle" align="center">0.2620</td>
<td valign="middle" align="center">0.3955</td>
<td valign="middle" align="center">0.4055</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>PCOSQOL score</bold>
</td>
<td valign="middle" align="center">127.88 &#xb1; 28.38</td>
<td valign="middle" align="center">128.71 &#xb1; 28.08</td>
<td valign="middle" align="center">0.6488</td>
<td valign="middle" align="center">0.6907</td>
<td valign="middle" align="center">127.09 &#xb1; 29.47</td>
<td valign="middle" align="center">127.05 &#xb1; 28.94</td>
<td valign="middle" align="center">0.9834</td>
<td valign="middle" align="center">0.9521</td>
<td valign="middle" align="center">0.7371</td>
<td valign="middle" align="center">0.7532</td>
</tr>
<tr>
<td valign="middle" align="center">Emotions</td>
<td valign="middle" align="center">4.27 &#xb1; 1.11</td>
<td valign="middle" align="center">4.25 &#xb1; 1.10</td>
<td valign="middle" align="center">0.8180</td>
<td valign="middle" align="center">0.7721</td>
<td valign="middle" align="center">4.31 &#xb1; 1.14</td>
<td valign="middle" align="center">4.24 &#xb1; 1.08</td>
<td valign="middle" align="center">0.3498</td>
<td valign="middle" align="center">0.3255</td>
<td valign="middle" align="center">0.4056</td>
<td valign="middle" align="center">0.4030</td>
</tr>
<tr>
<td valign="middle" align="center">Body hair</td>
<td valign="middle" align="center">5.31 &#xb1; 1.52</td>
<td valign="middle" align="center">5.27 &#xb1; 1.52</td>
<td valign="middle" align="center">0.6960</td>
<td valign="middle" align="center">0.7000</td>
<td valign="middle" align="center">5.25 &#xb1; 1.61</td>
<td valign="middle" align="center">5.21 &#xb1; 1.51</td>
<td valign="middle" align="center">0.6924</td>
<td valign="middle" align="center">0.6721</td>
<td valign="middle" align="center">0.735</td>
<td valign="middle" align="center">0.7378</td>
</tr>
<tr>
<td valign="middle" align="center">Weight</td>
<td valign="middle" align="center">4.29 &#xb1; 1.72</td>
<td valign="middle" align="center">4.31 &#xb1; 1.64</td>
<td valign="middle" align="center">0.8319</td>
<td valign="middle" align="center">0.8780</td>
<td valign="middle" align="center">4.20 &#xb1; 1.69</td>
<td valign="middle" align="center">4.23 &#xb1; 1.66</td>
<td valign="middle" align="center">0.8295</td>
<td valign="middle" align="center">0.8744</td>
<td valign="middle" align="center">0.588</td>
<td valign="middle" align="center">0.5646</td>
</tr>
<tr>
<td valign="middle" align="center">Infertility</td>
<td valign="middle" align="center">3.65 &#xb1; 1.35</td>
<td valign="middle" align="center">3.73 &#xb1; 1.30</td>
<td valign="middle" align="center">0.3455</td>
<td valign="middle" align="center">0.3746</td>
<td valign="middle" align="center">3.64 &#xb1; 1.41</td>
<td valign="middle" align="center">3.63 &#xb1; 1.43</td>
<td valign="middle" align="center">0.9385</td>
<td valign="middle" align="center">0.9116</td>
<td valign="middle" align="center">0.1827</td>
<td valign="middle" align="center">0.1866</td>
</tr>
<tr>
<td valign="middle" align="center">Menstrual problems</td>
<td valign="middle" align="center">4.41 &#xb1; 1.10</td>
<td valign="middle" align="center">4.41 &#xb1; 1.12</td>
<td valign="middle" align="center">0.9750</td>
<td valign="middle" align="center">0.9552</td>
<td valign="middle" align="center">4.35 &#xb1; 1.14</td>
<td valign="middle" align="center">4.32 &#xb1; 1.15</td>
<td valign="middle" align="center">0.7299</td>
<td valign="middle" align="center">0.7449</td>
<td valign="middle" align="center">0.7393</td>
<td valign="middle" align="center">0.7563</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SF</bold>-<bold>36 score</bold>
</td>
<td valign="middle" align="center">104.15 &#xb1; 4.52</td>
<td valign="middle" align="center">106.89 &#xb1; 5.78</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">104.06 &#xb1; 4.54</td>
<td valign="middle" align="center">106.78 &#xb1; 5.93</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.8016</td>
<td valign="middle" align="center">0.7700</td>
</tr>
<tr>
<td valign="middle" align="center">Physical functioning</td>
<td valign="middle" align="center">93.36 &#xb1; 9.70</td>
<td valign="middle" align="center">91.65 &#xb1; 11.53</td>
<td valign="middle" align="center">0.0125</td>
<td valign="middle" align="center">0.0129</td>
<td valign="middle" align="center">93.29 &#xb1; 9.53</td>
<td valign="middle" align="center">91.31 &#xb1; 11.43</td>
<td valign="middle" align="center">0.0034</td>
<td valign="middle" align="center">0.0034</td>
<td valign="middle" align="center">0.9231</td>
<td valign="middle" align="center">0.9268</td>
</tr>
<tr>
<td valign="middle" align="center">Role-physical</td>
<td valign="middle" align="center">23.35 &#xb1; 29.99</td>
<td valign="middle" align="center">71.48 &#xb1; 32.39</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">21.49 &#xb1; 30.55</td>
<td valign="middle" align="center">74.04 &#xb1; 32.23</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.1552</td>
<td valign="middle" align="center">0.1594</td>
</tr>
<tr>
<td valign="middle" align="center">Bodily pain</td>
<td valign="middle" align="center">77.64 &#xb1; 12.96</td>
<td valign="middle" align="center">76.78 &#xb1; 13.21</td>
<td valign="middle" align="center">0.3105</td>
<td valign="middle" align="center">0.2987</td>
<td valign="middle" align="center">76.75 &#xb1; 13.68</td>
<td valign="middle" align="center">75.80 &#xb1; 13.80</td>
<td valign="middle" align="center">0.2821</td>
<td valign="middle" align="center">0.3107</td>
<td valign="middle" align="center">0.95</td>
<td valign="middle" align="center">0.9026</td>
</tr>
<tr>
<td valign="middle" align="center">General health</td>
<td valign="middle" align="center">52.91 &#xb1; 11.64</td>
<td valign="middle" align="center">53.60 &#xb1; 11.56</td>
<td valign="middle" align="center">0.3558</td>
<td valign="middle" align="center">0.3726</td>
<td valign="middle" align="center">53.39 &#xb1; 12.20</td>
<td valign="middle" align="center">54.00 &#xb1; 11.86</td>
<td valign="middle" align="center">0.4276</td>
<td valign="middle" align="center">0.4243</td>
<td valign="middle" align="center">0.8012</td>
<td valign="middle" align="center">0.8245</td>
</tr>
<tr>
<td valign="middle" align="center">Vitality</td>
<td valign="middle" align="center">42.73 &#xb1; 11.92</td>
<td valign="middle" align="center">43.93 &#xb1; 11.97</td>
<td valign="middle" align="center">0.1203</td>
<td valign="middle" align="center">0.1213</td>
<td valign="middle" align="center">42.20 &#xb1; 12.36</td>
<td valign="middle" align="center">42.91 &#xb1; 12.21</td>
<td valign="middle" align="center">0.3652</td>
<td valign="middle" align="center">0.3451</td>
<td valign="middle" align="center">0.5652</td>
<td valign="middle" align="center">0.5629</td>
</tr>
<tr>
<td valign="middle" align="center">Social functioning</td>
<td valign="middle" align="center">49.00 &#xb1; 13.09</td>
<td valign="middle" align="center">49.49 &#xb1; 11.79</td>
<td valign="middle" align="center">0.5464</td>
<td valign="middle" align="center">0.5464</td>
<td valign="middle" align="center">48.95 &#xb1; 10.97</td>
<td valign="middle" align="center">49.41 &#xb1; 12.15</td>
<td valign="middle" align="center">0.5280</td>
<td valign="middle" align="center">0.4826</td>
<td valign="middle" align="center">0.8944</td>
<td valign="middle" align="center">0.8264</td>
</tr>
<tr>
<td valign="middle" align="center">Role-emotional</td>
<td valign="middle" align="center">26.40 &#xb1; 34.62</td>
<td valign="middle" align="center">71.43 &#xb1; 36.43</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">24.23 &#xb1; 34.90</td>
<td valign="middle" align="center">73.40 &#xb1; 36.16</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.2813</td>
<td valign="middle" align="center">0.2930</td>
</tr>
<tr>
<td valign="middle" align="center">Mental health</td>
<td valign="middle" align="center">60.02 &#xb1; 10.46</td>
<td valign="middle" align="center">58.87 &#xb1; 10.56</td>
<td valign="middle" align="center">0.0902</td>
<td valign="middle" align="center">0.0875</td>
<td valign="middle" align="center">60.84 &#xb1; 9.89</td>
<td valign="middle" align="center">59.35 &#xb1; 10.83</td>
<td valign="middle" align="center">0.0255</td>
<td valign="middle" align="center">0.0247</td>
<td valign="middle" align="center">0.8506</td>
<td valign="middle" align="center">0.8769</td>
</tr>
<tr>
<td valign="middle" align="center">Health transition</td>
<td valign="middle" align="center">48.55 &#xb1; 25.80</td>
<td valign="middle" align="center">42.48 &#xb1; 26.33</td>
<td valign="middle" align="center">0.0003</td>
<td valign="middle" align="center">0.0003</td>
<td valign="middle" align="center">47.29 &#xb1; 25.62</td>
<td valign="middle" align="center">39.89 &#xb1; 26.15</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">&lt;0.0001</td>
<td valign="middle" align="center">0.7356</td>
<td valign="middle" align="center">0.7150</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>ChiQOL score</bold>
</td>
<td valign="middle" align="center">148.20 &#xb1; 11.04</td>
<td valign="middle" align="center">149.80 &#xb1; 11.12</td>
<td valign="middle" align="center">0.0254</td>
<td valign="middle" align="center">0.0268</td>
<td valign="middle" align="center">148.22 &#xb1; 11.28</td>
<td valign="middle" align="center">149.78 &#xb1; 12.32</td>
<td valign="middle" align="center">0.0410</td>
<td valign="middle" align="center">0.0391</td>
<td valign="middle" align="center">0.6637</td>
<td valign="middle" align="center">0.6693</td>
</tr>
<tr>
<td valign="middle" align="center">Physical form domain</td>
<td valign="middle" align="center">3.35 &#xb1; 0.80</td>
<td valign="middle" align="center">3.34 &#xb1; 0.82</td>
<td valign="middle" align="center">0.9104</td>
<td valign="middle" align="center">0.8837</td>
<td valign="middle" align="center">3.25 &#xb1; 0.85</td>
<td valign="middle" align="center">3.27 &#xb1; 0.80</td>
<td valign="middle" align="center">0.6912</td>
<td valign="middle" align="center">0.7051</td>
<td valign="middle" align="center">0.5796</td>
<td valign="middle" align="center">0.5996</td>
</tr>
<tr>
<td valign="middle" align="center">Spirit domain</td>
<td valign="middle" align="center">95.53 &#xb1; 8.36</td>
<td valign="middle" align="center">96.34 &#xb1; 8.48</td>
<td valign="middle" align="center">0.1386</td>
<td valign="middle" align="center">0.1435</td>
<td valign="middle" align="center">95.58 &#xb1; 8.21</td>
<td valign="middle" align="center">96.18 &#xb1; 8.86</td>
<td valign="middle" align="center">0.2791</td>
<td valign="middle" align="center">0.2620</td>
<td valign="middle" align="center">0.3763</td>
<td valign="middle" align="center">0.3953</td>
</tr>
<tr>
<td valign="middle" align="center">Emotion domain</td>
<td valign="middle" align="center">49.32 &#xb1; 7.04</td>
<td valign="middle" align="center">51.12 &#xb1; 7.36</td>
<td valign="middle" align="center">0.0350</td>
<td valign="middle" align="center">0.0353</td>
<td valign="middle" align="center">49.39 &#xb1; 7.03</td>
<td valign="middle" align="center">50.33 &#xb1; 7.44</td>
<td valign="middle" align="center">0.0445</td>
<td valign="middle" align="center">0.0451</td>
<td valign="middle" align="center">0.8141</td>
<td valign="middle" align="center">0.8332</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are median (IQR).</p>
</fn>
<fn>
<p>p-values represent comparison before and after treatment within acupuncture and sham acupuncture groups.</p>
</fn>
<fn id="fnT4_1">
<label>a</label>
<p>p-values represent comparison before and after treatment within acupuncture and sham acupuncture groups after adjusting clomiphene and reproductive outcome.</p>
</fn>
<fn>
<p>p1-values represent comparison of the difference value before and after treatment between acupuncture and sham acupuncture groups.</p>
</fn>
<fn id="fnT4_3">
<label>b</label>
<p>p1-values represent comparison of the difference value before and after treatment between acupuncture and sham acupuncture groups after adjusting clomiphene and reproductive outcome.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our results showed that total scores and RP and RE scores in the SF-36 scale after treatment in the two groups were significantly higher than before treatment, whereas PF, MH, and HT scores were significantly lower than those before treatment, after adjusting clomiphene and reproductive outcome. In the ChiQOL scale, the significant increase in total scores and emotion domain scores was observed in the two groups compared with pre-treatment. These findings indicated that acupuncture could improve the emotion domain of PCOS patients, and the same effects were found in sham acupuncture. The SF-36 questionnaire-a is a concise health survey that comprehensively summarizes the survival quality of respondents; it contains 36 items divided into nine areas of HRQoL. Our study revealed that acupuncture significantly improved the scores of RP and RE in SF-36 of patients with PCOS, which were decreased after acupuncture treatment in previous research (<xref ref-type="bibr" rid="B3">3</xref>). The ChiQOL questionnaire is a new universal scale based on TCM (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). The total scores and emotion domain scores in the ChiQOL questionnaire were significantly increased after acupuncture intervention, which indicated that acupuncture could improve the quality of life of Chinese people; Dong et&#xa0;al.&#x2019;s study had the same results (<xref ref-type="bibr" rid="B3">3</xref>). Some research reported that acupuncture played a significant improvement in the physical form domain and a significantly and continuously improved trend in the vitality domain (<xref ref-type="bibr" rid="B32">32</xref>), but in our study, the scores of PF, MH, and HT in SF-36 were decreased after acupuncture intervention, which may be related to the physical and mental health damage caused by long-term infertility of PCOS and could not be corrected by acupuncture. Moreover, sham acupuncture was not completely useless; the same effects were found in sham acupuncture group. The PCOSQ as the only validated disease-specific questionnaire has been used to evaluate the HRQoL of women with PCOS currently, which has been administered to understand women experiences of emotions, body hair, weight, infertility, and menstrual problems of PCOS symptomatology in detail (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>). It has been revealed that acupuncture plays a significant role in ameliorating negative emotion in PCOS patients, which was decreased in SAS and SDS scores and increased in PCOSQ scores (<xref ref-type="bibr" rid="B23">23</xref>), but no differences in PCOSQ, SAS, and SDS scores were observed in our study.</p>
<p>The level of serum Hcy was significantly decreased after treatment in both groups (adjusted <italic>p</italic>&lt; 0.001). Additionally, the levels of LDL-C and Apo A1 were significantly decreased, while the serum levels of lipoprotein &#x3b1;, Apo A1/Apo B, and TC were significantly increased after acupuncture treatment (adjusted <italic>p</italic>&lt; 0.05). It is a controversial issue whether acupuncture can improve lipid metabolism in patients with PCOS. A previous study indicated that acupuncture could improve TG levels in lipid metabolism of PCOS (<xref ref-type="bibr" rid="B34">34</xref>), whereas acupuncture had no effect on LDL-C, TG, and TC in lipid metabolism, as illustrated in another study (<xref ref-type="bibr" rid="B35">35</xref>). Our study found that the TG in lipid metabolism indicators was significantly different between two groups after treatment. Our findings showed that acupuncture was closely associated with a decrease in the level of LDL-C and an increase in the level of lipoprotein &#x3b1; and Apo A1, and slightly increased the ratio of Apo A1/Apo B in lipid profiles in patients with PCOS, while the sham acupuncture group could increase the TC level. Lai et&#xa0;al.&#x2019;s clinical trials reported that the LDL-C level was reduced by acupuncture treatment (<xref ref-type="bibr" rid="B36">36</xref>); the same results have been found in our study. However, no significant change in HDL-C levels after acupuncture treatment was reported in our study, and the finding was not consistent with another study (<xref ref-type="bibr" rid="B37">37</xref>). Furthermore, acupuncture could significantly improve the acne symptoms of patients with PCOS, while other biological features such as BMI, WHR, and AN were not improved, compared with the sham acupuncture group. However, no significant differences in HOMA-IR, MetS, FPG, FINS, Hcy, HDL-C, LDL-C, lipoprotein &#x3b1;, TC, Apo A1, and Apo B (except for TG) were found when comparing pre-treatment and post-treatment or between acupuncture and sham acupuncture (adjusted <italic>p</italic> = 0.0476).</p>
<p>Our research found that acupuncture can regulate emotion and improve abnormal lipid metabolism and ion disorders, and these may have a certain relationship. Poor mental health was significantly associated with elevated levels of TG and LDL-C. A recent cross-sectional study demonstrated that female participants who experienced high stress showed higher levels of LDL-C compared with the low-stress participants, suggesting that higher levels of blood lipids and lipoprotein &#x3b1; were related with psychological stress and emotional disorders (<xref ref-type="bibr" rid="B38">38</xref>). The same was found in patients with non-alcoholic fatty liver disease (NAFLD). There were impaired health status in NAFLD patients, including physical, emotional, mental, and social wellbeing (<xref ref-type="bibr" rid="B39">39</xref>), which also presented a complex, bidirectional relationship with lipid metabolism (<xref ref-type="bibr" rid="B40">40</xref>). As acupuncture could reduce the accumulation of intra-abdominal fat, inhibit lipid absorption in the small intestine, and downregulate the level of blood lipid, acupuncture may have potentially variable beneficial effects on improving the lipid metabolism in the presence of abnormal liver metabolism (<xref ref-type="bibr" rid="B41">41</xref>). These studies have suggested that there is a relationship between lipid metabolism and emotional domain. Our findings indicated that the role of acupuncture in improving emotion domain seemed to be related to the improvement of metabolic disorders in women with PCOS. Acupuncture treatment was found to positively improve leptin sensitivity in brain, thereby altering hepatic lipid metabolism and reducing depression-like behavior in chronic restraint stress mice (<xref ref-type="bibr" rid="B42">42</xref>). Clinical studies and lines of evidence from laboratory indicated that acupuncture regulates the endocrine system and modulates relevant molecules of metabolism in patients of simple obesity (<xref ref-type="bibr" rid="B43">43</xref>). As for the detection of dyslipidemia in both PCOS-like and obese rats, representative indices such as TG, TC, LDL-C, and Apo E were increased, while HDL-C was decreased. Moreover, there was also a certain degree of liver dysfunction, and all these abnormal changes could be reverted or improved with electroacupuncture (<xref ref-type="bibr" rid="B44">44</xref>). Therefore, the improvement of PCOS may represent a positive step towards relieving mental symptoms and preventing mental complications by improving lipid metabolism. Moreover, in the perspective of TCM theory, the liver governs emotions, while the main organ of lipid metabolism is the liver.</p>
<p>We found that the changes of emotion and lipid provided molecular biological evidence for the scientific connotation of the theory of liver governing emotion in TCM. A previous study also found that acupuncture could effectively modify hepatic lipid metabolism by increasing the sensitivity to leptin. This is consistent with the theory of liver master sentiment in TCM (<xref ref-type="bibr" rid="B45">45</xref>). We also found that the effect of acupuncture on emotion and lipid metabolism played a role in sham acupuncture, probably due to the physiological effects of shallow acupuncture by stimulating the skin and causing afferent nerve activity, which, in turn, affects the corresponding functional areas of the brain, producing a &#x201c;limbic contact response&#x201d; (<xref ref-type="bibr" rid="B46">46</xref>). In addition, the patient&#x2019;s cognition of the acupuncturist; the patient&#x2019;s knowledge, attitudes, and behaviors; the patient&#x2019;s relationship with acupuncturist; and the trial environment increased the non-specific effects of acupuncture and sham acupuncture by prompting patients to change their healthy lifestyle (<xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>Additionally, we found that the levels of serum Cl, serum Ca, and serum K have been both significantly increased in the acupuncture group after an intervention of 4 months compared with pre-treatment (adjusted <italic>p</italic>&lt; 0.05). Also, the level of Cl was increased in the sham acupuncture group. It was reported that acupuncture could change the concentration of Ca<sup>2+</sup> on the meridian line, which was one of the key factors of acupuncture effect, and the relationship between Ca<sup>2+</sup> and acupuncture effect implied that Ca<sup>2+</sup> was closely related to the neuroendocrine&#x2013;immune network at acupoint (<xref ref-type="bibr" rid="B48">48</xref>). Studies on the mechanism of acupuncture seemed to suggest that the direct consequence in connection to acupuncture was the necessity of increasing intracellular Ca<sup>2+</sup> (<xref ref-type="bibr" rid="B49">49</xref>). Since acupuncture was capable of delivering the extra Ca<sup>2+</sup>, the improvement of ions in patients with PCOS seems to coincide with its ability.</p>
<p>In our study, a decrease in Hcy levels after acupuncture intervention was of novel interest. Studies have illustrated that elevated concentration of Hcy can affect blood vessels, which may have contributed to the deterioration of atherosclerosis and endothelial dysfunction by damaging the blood vessel, thus increasing the risk of CVD (<xref ref-type="bibr" rid="B50">50</xref>). Hcy may play a role in the long-term complications of PCOS, especially the arterial stiffness of CVD (<xref ref-type="bibr" rid="B51">51</xref>), but it is not clear whether it is connected with the metabolism of PCOS. It is well known that the level of Hcy is elevated in women with PCOS. A meta-analysis has shown that the Hcy level in obese patients with PCOS is significantly higher than that in nonobese patients (<xref ref-type="bibr" rid="B52">52</xref>), which showed that Hcy seems to be related to fat metabolism. Additionally, hyperhomocysteinemia contributes to elevated pregnancy loss and reduced ovulation in PCOS, indicating that the higher Hcy level leads to reproductive defects (<xref ref-type="bibr" rid="B53">53</xref>). Our study also found that acupuncture could reduce Hcy levels, but unfortunately did not have an effect on the live birth rate (<xref ref-type="bibr" rid="B16">16</xref>), which was worthy of further study in the future. Nevertheless, no significant differences in HOMA-IR, MetS, FPG, and FINS were found when comparing pre-treatment and post-treatment or between acupuncture and sham acupuncture, which was consistent with Dong&#x2019;s report (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<sec id="s4_1">
<label>4.1</label>
<title>Strengths and limitations</title>
<p>This research is the first study to use the most comprehensive scale to evaluate the effect of acupuncture on women with PCOS, and it is found that acupuncture can regulate emotion and lipid metabolism disorder, which may have a correlation, based on 1,000 PCOS women from randomized controlled trials that include the factorial design, adequate power, similar withdrawal rates among groups, and high adherence to treatment. Furthermore, acupuncture had a positive effect on levels of serum Ca, serum K, and serum Cl, which may also be another mechanism of acupuncture regulating emotion.</p>
<p>However, there were some limitations in our study. Firstly, both acupuncture and sham acupuncture played a role in the present study, and it was not clear what the specific mechanism was. On the one hand, sham acupuncture may have a comforting needle effect, and on the other hand, the techniques of acupuncturists may be different, although our acupuncturists had undergone several rounds of standardized and uniform training. Secondly, there was subjectivity in the assessment of acupuncture scale by PCOS patients. Although our research assistants have undergone intensive training on a regular basis, the particular variations in individual indicators may be caused by the subjective reasons of the research assistants. Thirdly, the subgroup analysis was not carried out based on BMI, which may lead to the deviation of the research results. Finally, the article only determined the potential relationships, and the specific mechanisms of the regulatory effect of acupuncture on emotion and lipid metabolism need to be further investigated.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>Acupuncture can improve not only the emotional changes in SF-36 scale scores and ChiQOL scale scores, but also lipid metabolism. There is a correlation between emotional change and lipid metabolism. Meanwhile, acupuncture can regulate the changes of serum Ca, K, and Cl ions, which may be another mechanism of acupuncture in the treatment of PCOS. Moreover, sham acupuncture may not be completely ineffective, which may be related to the improvement in some aspects of patients with PCOS through the placebo effect.</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, and further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The Regional Ethics Committee at The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine on December 15, 2011 (No: 2010HZYLL-010). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Inclusion of identifiable human data. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>HC, CW, and XW initiated, designed, and supervised the study. HC, LW, CM, LL, WZ, and HG analyzed the data. HC, BS, and DZ drafted the manuscript. YW, CW, and XW revised the manuscript. All authors have read and approved the final version of the manuscript accepted for publication. All authors accept responsibility for the accuracy and integrity of all aspects of the study.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (No. 82004404), the China Postdoctoral Science Foundation (Grant Nos. 2021T140188 and 2018M641886), the Academic Experience Inheritance Project of Famous TCM Experts, and the second batch of TCM clinical outstanding talents training program in Heilongjiang Province.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank all the participants for their valuable contribution to this trial.</p>
</ack>
<sec id="s10" 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="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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