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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.2022.876775</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Lipid Profile in Patients With Primary Ovarian Insufficiency: A Systematic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Ling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1680976"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Hanfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Minglu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kong</surname>
<given-names>Weizheng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jiang</surname>
<given-names>Mei</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/884672"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Chinese Medicine, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Mara Marongiu, National Research Council (CNR), Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Amanda Vincent, Monash University, Australia; Fatih Durmusoglu, Istanbul Medipol University, Turkey; Lawrence Merle Nelson, Mary Elizabeth Conover Foundation, Inc., United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mei Jiang, <email xlink:href="mailto:jmtcm@bucm.edu.cn">jmtcm@bucm.edu.cn</email> </p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Reproduction, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>876775</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Huang, Wang, Shi, Kong and Jiang</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Huang, Wang, Shi, Kong and Jiang</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>Backgrounds</title>
<p>A large number of studies have investigated the effect of early menopause on cardiovascular disease (CVD) outcomes and the relationship between the levels of lipid profile and primary ovarian insufficiency (POI). However, the results are inconsistent. The aim of this meta-analysis was to assess whether the levels of total cholesterol (TC), triglyceride (TG), high density lipoprotein (HDL) and low density lipoprotein (LDL) changed in women with POI relative to healthy controls.</p>
</sec>
<sec>
<title>Methods</title>
<p>To identify eligible studies, references published prior to December 2021 were searched in the PubMed, Embase, Cochrane Library and Web of Science databases. DerSimonian-Laird random-effects model was used to estimate the overall standard mean difference (SMD) between POI and healthy control subjects. Subgroup analysis and sensitivity analysis were preformed, and publication bias was assessed.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 12 studies featuring 846 women with primary ovarian insufficiency and 959 healthy women were selected for analysis. The meta-analysis showed that the levels of TC (SMD: 0.60; 95% CI: 0.32 to 0.89; <italic>P</italic>&lt;0.0001), TG (SMD: 0.36; 95% CI: 0.12 to 0.60; <italic>P=</italic>0.003), LDL (SMD: 0.46; 95% CI: 0.16 to 0.76; <italic>P=</italic>0.003) were significantly increased in women with POI. There was no significant change in the level of HDL (SMD: 0.25; 95% CI: -0.12 to 0.61; <italic>P=</italic>0.19). Subgroup analysis showed that the heterogeneity in this meta-analysis of the correlation between lipid profile and POI might come from by region, sample size, number of cases, mean body mass index (BMI) value of cases and mean age of cases.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Scientific evidence suggests that the lipid profile levels were altered in patients with primary ovarian insufficiency compared to healthy controls. Therefore, we recommend that early medical intervention (e.g., hormone replacement therapy) to minimize the risk of CVD morbidity and mortality associated with dyslipidemia in patients with POI.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>PROSPERO, identifier CRD42021297088</p>
</sec>
</abstract>
<kwd-group>
<kwd>primary ovarian insufficiency</kwd>
<kwd>lipid profile</kwd>
<kwd>cardiovascular disease</kwd>
<kwd>meta-analysis</kwd>
<kwd>dyslipidemia</kwd>
</kwd-group>
<contract-num rid="cn001">New Teacher Foundation of Beijing University of Chinese Medicine</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="55"/>
<page-count count="10"/>
<word-count count="5587"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Cardiovascular disease (CVD) is the leading cause of mortality among women worldwide (<xref ref-type="bibr" rid="B1">1</xref>). The incidence of CVD increases significantly after menopause but is rarely seen in premenopausal women (<xref ref-type="bibr" rid="B2">2</xref>). Postmenopausal women are at increased risk of cardiovascular and metabolic diseases because of the deficiency of estradiol and the central distribution of body fat (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>The mechanism of postmenopausal dyslipidemia leading to CVD has been clarified (<xref ref-type="bibr" rid="B1">1</xref>). Studies have confirmed that the levels of serum total cholesterol (TC), triglyceride (TG) and low density lipoprotein (LDL) increased in postmenopausal women, while the level of serum high density lipoprotein (HDL) decreased (<xref ref-type="bibr" rid="B4">4</xref>). Elevated level of serum LDL is often regarded as a sign of hyperlipidemia, which increases the risk of coronary heart disease. Moreover, the incidence of atherosclerosis increases with the level of LDL as a result of oxidative modification of LDL. Oxidized LDL deposits on the arterial wall of cardio-cerebral vascular areas and gradually forms atherosclerotic plaques. The atherosclerotic plaques block the corresponding blood vessels, lead to atherosclerosis and increase the risk of CVD (<xref ref-type="bibr" rid="B5">5</xref>). Studies have shown that even if the level of serum LDL is normal, partial oxidation which leads to atherosclerosis cannot be ruled out (<xref ref-type="bibr" rid="B6">6</xref>). In addition, elevated levels of serum TC and TG are also the factors of the deficiency in antioxidant mechanism, which contributes to subclinical atherosclerosis (<xref ref-type="bibr" rid="B7">7</xref>). Therefore, these changes are partly responsible for the increased incidence of CVD in postmenopausal women.</p>
<p>A number of studies have investigated the effect of earlier age at menopause on CVD outcomes (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Compared to women with menopause at the age of 49~55 years, women with early menopause have an approximately 80% increased risk of mortality from CVD (<xref ref-type="bibr" rid="B11">11</xref>). Primary ovarian insufficiency (POI), which is a typical disease characterized by early menopause (before age 40years) in women, is defined as amenorrhea for four months and an elevated follicle stimulating hormone (FSH) level&gt;25IU/L (measured twice at least four weeks apart) in women under 40 years old (<xref ref-type="bibr" rid="B12">12</xref>). Hence, POI, by virtue of early menopause and chronic estradiol deficiency, is a risk factor for CVD.</p>
<p>Knowledge of the potential associations of lipid profile with diminished ovarian response to FSH has public health significance for reducing the risk of cardiovascular morbidity and mortality in women. POI may provide important information to disentangle the effects of menopause and age on lipid profile. Thus, this systematic review and meta-analysis aimed to evaluate the levels of serum lipid profile in women with POI and healthy controls.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Reporting Guidelines</title>
<p>This systematic review and meta-analysis was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (<xref ref-type="bibr" rid="B13">13</xref>), and was prospectively registered on PROSPERO (registration number: CRD42021297088). This study was conducted according to the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines (<xref ref-type="bibr" rid="B14">14</xref>).</p>
</sec>
<sec id="s2_2">
<title>Search Strategy</title>
<p>The PICO (population/intervention/comparison/outcome) components were as follows: P (women before the age of 40), I (women with primary ovarian insufficiency), C (healthy women), O (serum levels of lipid profile including TC, TG, HDL, and LDL). To identify eligible studies, an exhaustive literature search was performed in the PubMed, Embase, Cochrane Library and Web of Science databases (with language was restricted to English; without restricting by location and journal) through December 2021 to identify published studies using the following keywords: &#x201c;primary ovarian insufficiency&#x201d; OR &#x201c;premature ovarian insufficiency&#x201d; OR &#x201c;premature ovarian failure&#x201d; OR &#x201c;premature menopause&#x201d; OR &#x201c;POI&#x201d; OR &#x201c;POF&#x201d; OR &#x201c;menopause premature&#x201d; OR &#x201c;early menopause&#x201d; AND &#x201c;lipid profile&#x201d; OR &#x201c;total cholesterol&#x201d; OR &#x201c;TC&#x201d; OR &#x201c;triglycerides&#x201d; OR &#x201c;TG&#x201d; OR &#x201c;high-density lipoprotein&#x201d; OR &#x201c;HDL&#x201d; OR &#x201c;low-density lipoprotein&#x201d; OR &#x201c;LDL&#x201d;.</p>
</sec>
<sec id="s2_3">
<title>Inclusion and Exclusion Criteria</title>
<p>The inclusion criteria for eligible studies were as follows: (1) original human observational studies (case-control, cross-sectional, or longitudinal design); (2) all subjects involved in studies had no gynecological surgery or undergone therapy that could induce menopause; (3) studies focusing on the association between at least one of the serum lipid profile levels including TC, TG, HDL, and LDL with POI; and (4) studies included data on the levels of serum lipid profile for patients with POI and healthy individuals.</p>
<p>The exclusion criteria were as follows: (1) laboratory or animals studies; (2) reviews or case reports; (3) repeated publications; (4) studies without healthy control groups; (5) studies not providing exact data on the levels of serum lipid profile; (6) studies involved subjects were older than 40 years; and (7) studies with sample size &lt;10.</p>
</sec>
<sec id="s2_4">
<title>Study Selection and Data Extraction</title>
<p>Literature screening and data extraction were independently done by two researchers (LH and HW). Differences between two reviewers were addressed in consultation with a third reviewer (MJ). Firstly, references were imported into EndNote, and duplicates were identified. Secondly, literature titles and abstracts were screened, and those did not meet the inclusion criteria were excluded. Finally, the full text of the references were read, and the studies were further excluded according to the inclusion and exclusion criteria. PRISMA flowchart explaining the selection process was shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The data including the levels of serum TC, TG, HDL and LDL [mean &#xb1; standard deviation (SD)] were extracted from the references, and all data were rechecked by MJ.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow chart of the selection process. From (<xref ref-type="bibr" rid="B15">15</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-876775-g001.tif"/>
</fig>
</sec>
<sec id="s2_5">
<title>Quality Assessment</title>
<p>The quality assessment of eligible studies was performed according to the Newcastle-Ottawa Scale (NOS) star system (<xref ref-type="bibr" rid="B16">16</xref>), and all included studies were rated above 7.</p>
</sec>
<sec id="s2_6">
<title>Statistical Analysis</title>
<p>The extracted data from the included studies were analyzed with a meta-analysis. Since the existing references were not consistent with regard to units, the pooled standardized mean difference (SMD) and 95% confidence intervals (CI) were used to determine the associations between lipid profile and POI. Heterogeneity in the studies was tested using Cochran&#x2019;s Q two-sided test of homogeneity (<xref ref-type="bibr" rid="B17">17</xref>). If I-square (<italic>I<sup>2</sup>
</italic>) &lt;50%, a Mantel-Haenszel fixed-effect model was used, otherwise, a DerSimonian-Laird random-effects modelwas used (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Subgroup analysis was performed to identify associations between the levels of serum lipid profile and the characteristics of studies to examine if this could explain heterogeneity.Sensitivity analysis was performed to test the robustness of the pooled SMD by excluding each study. Funnel plot method (in cases where the number of included references were &#x2265; 10) was used to test publication bias. All analyses were performed using RevMan software, and <italic>P</italic>&lt;0.05was considered to be statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Literature Search</title>
<p>From the initial 140 articles, 105 were excluded after reading titles and abstracts because they did not meet the inclusion criteria. 35 articles were included for full-text assessment, from which 23 were excluded: two without healthy controls; two involved subjects were older than 40 years; one involved data cannot be extracted; one repeated publication; seventeen research topic inappropriate. A total of 12 eligible papers were included (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), all of the studies featured a case-control design and included individual data from 846 cases and 959 healthy controls (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). The baseline characteristics, such as author, year, region, number of case/control subjects, age, body mass index (BMI), lipid profile and primary conclusion included in the studies were shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary characteristics of studies and participants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">No.</th>
<th valign="top" rowspan="2" align="center">Study</th>
<th valign="top" rowspan="2" align="center">Region</th>
<th valign="top" colspan="2" align="center">Women (n) (Cases vs.Control)</th>
<th valign="top" colspan="2" align="center">Age (years) (Cases vs. Control)</th>
<th valign="top" rowspan="2" align="center">Age at diagnosis of POI (years)</th>
<th valign="top" colspan="2" align="center">BMI (kg/m<sup>2</sup>) (Cases vs. Control)</th>
<th valign="top" colspan="2" align="center">HRT/OC used</th>
<th valign="top" rowspan="2" align="center">Lipid profile</th>
<th valign="top" rowspan="2" align="center">Primary conclusion</th>
</tr>
<tr>
<th valign="top" align="center">POI</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">POI</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">POI</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">POI</th>
<th valign="top" align="center">Control</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1.&#x2003;</td>
<td valign="top" align="left">Falsetti<break/> (1999) (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">Italy<break/> (Brescia)</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">32.6 &#xb1; 7.3</td>
<td valign="top" align="center">35 &#xb1; 3.5</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">22.9 &#xb1; 3.8</td>
<td valign="top" align="center">22.2 &#xb1; 2.2</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">TC,LDL,HDL</td>
<td valign="top" align="left">Serum TC and LDL increased, serum HDL decreased in POI</td>
</tr>
<tr>
<td valign="top" align="left">2.&#x2003;</td>
<td valign="top" align="left">Ostberg<break/> (2005) (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Britain<break/> (London)</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">33.0 &#xb1; 7.0</td>
<td valign="top" align="center">33.5 &#xb1; 6.5</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">22.9 &#xb1; 3.4</td>
<td valign="top" align="center">23.7 &#xb1; 3.2</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,LDL,HDL</td>
<td valign="top" align="left">Serum TG increased, serum TC, LDL and HDL remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">3.&#x2003;</td>
<td valign="top" align="left">Knauff<break/> (2008) (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">Netherlands<break/> (Utrecht,Rotterdam)</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">198</td>
<td valign="top" align="center">33.8 &#xb1; 5.6</td>
<td valign="top" align="center">30.3 &#xb1; 2.9</td>
<td valign="top" align="center">31.8 &#xb1; 6.3</td>
<td valign="top" align="center">24.9 &#xb1; 4.3</td>
<td valign="top" align="center">24.3 &#xb1; 4.8</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,LDL,HDL</td>
<td valign="top" align="left">Serum TG increased,serum HDL decreased, serum TC and LDL remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">4.&#x2003;</td>
<td valign="top" align="left">Gulhan<break/> (2012) (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Turkey<break/> (Izmir)</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">36.8 &#xb1; 1.8</td>
<td valign="top" align="center">36.0 &#xb1; 2.3</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">25.9 &#xb1; 4.9</td>
<td valign="top" align="center">24.8 &#xb1; 4.6</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,HDL,LDL</td>
<td valign="top" align="left">Serum TC and LDL increased, serum TG and HDL remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">5.&#x2003;</td>
<td valign="top" align="left">Kulaksizoglu<break/> (2013) (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">Turkey<break/> (Konya)</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">36.83 &#xb1; 2.72</td>
<td valign="top" align="center">37.15 &#xb1; 1.88</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">30.33 &#xb1; 5.59</td>
<td valign="top" align="center">29.62 &#xb1; 3.48</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,HDL,LDL</td>
<td valign="top" align="left">Serum TC,HDL and LDL increased, serum TG remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">6.&#x2003;</td>
<td valign="top" align="left">Ates<break/> (2014) (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">Turkey<break/> (Istanbul)</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">35.23 &#xb1; 4.58</td>
<td valign="top" align="center">35.47 &#xb1; 4.49</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">25.79 &#xb1; 4.10</td>
<td valign="top" align="center">26.09 &#xb1; 3.80</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,HDL,LDL</td>
<td valign="top" align="left">Serum TC and HDL increased, serum TG and LDL remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">7.&#x2003;</td>
<td valign="top" align="left">A&#x11f;a&#xe7;ayak<break/> (2016) (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">Turkey<break/> (Diyarbak&#x131;r)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">28.9 &#xb1; 6.8</td>
<td valign="top" align="center">29.2 &#xb1; 5.0</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">24.1 &#xb1; 4.2</td>
<td valign="top" align="center">23.2 &#xb1; 3.3</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC</td>
<td valign="top" align="left">Serum TC remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">8.&#x2003;</td>
<td valign="top" align="left">AbdulAzeez<break/> (2018) (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Nigeria<break/> (Kwara)</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">26.4 &#xb1; 5.2</td>
<td valign="top" align="center">26.4 &#xb1; 5.5</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">TC,TG,LDL,HDL</td>
<td valign="top" align="left">Serum TC,HDL,TG and LDL increased in POI</td>
</tr>
<tr>
<td valign="top" align="left">9.&#x2003;</td>
<td valign="top" align="left">Podfigurna<break/> (2018) (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">Poland<break/> (Poznan)</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">30.70 &#xb1; 6.90</td>
<td valign="top" align="center">27.30 &#xb1; 4.50</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">23.54 &#xb1; 4.55</td>
<td valign="top" align="center">28.62 &#xb1; 5.30</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,LDL,HDL</td>
<td valign="top" align="left">Serum TC,HDL increased, serum TG,LDL remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">10.&#x2003;</td>
<td valign="top" align="left">Bozkaya<break/> (2020) (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">Turkey<break/> (Ankara)</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">30.94 &#xb1; 5.58</td>
<td valign="top" align="center">28.53 &#xb1; 5.09</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">25.90 &#xb1; 4.22</td>
<td valign="top" align="center">24.47 &#xb1; 3.89</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,LDL,HDL</td>
<td valign="top" align="left">Serum TC,TG,LDL and HDL remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">11.&#x2003;</td>
<td valign="top" align="left">Cekici<break/> (2021)<break/> (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Turkey<break/> (Gaziantep)</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">73</td>
<td valign="top" align="center">32.5 &#xb1; 4.7</td>
<td valign="top" align="center">31.0 &#xb1; 4.9</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">23.6 &#xb1; 4.3</td>
<td valign="top" align="center">22.7 &#xb1; 5.3</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,LDL,HDL</td>
<td valign="top" align="left">Serum TC,LDL increased,serum TG,HDL remained unchanged in POI</td>
</tr>
<tr>
<td valign="top" align="left">12.&#x2003;</td>
<td valign="top" align="left">Huang<break/> (2021) (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">China<break/> (Hangzhou)</td>
<td valign="top" align="center">303</td>
<td valign="top" align="center">303</td>
<td valign="top" align="center">34.78 &#xb1; 5.42</td>
<td valign="top" align="center">34.68 &#xb1; 4.80</td>
<td valign="top" align="center">34.08 &#xb1; 5.21</td>
<td valign="top" align="center">21.44 &#xb1; 2.75</td>
<td valign="top" align="center">21.25 &#xb1; 2.92</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">No</td>
<td valign="top" align="left">TC,TG,LDL,HDL</td>
<td valign="top" align="left">Serum TG increased, serum HDL decreased, serum TC,LDL remained unchanged in POI</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; HRT, hormone replacement therapy; OC, oral contraceptive; TC, Total cholesterol; TG, Triglyceride; HDL, high density lipoprotein; LDL, low density lipoprotein; NA, not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Meta-Analysis Results</title>
<p>Twelve studies (<italic>n</italic>=1805 participants) compared the serum TC level between primary ovarian insufficiency women and healthy controls (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>), and there was significant heterogeneity among the studies (<italic>I<sup>2 </sup>= </italic>86%; <italic>P</italic>&lt;0.00001). Primary ovarian insufficiency was significantly associated with an increased serum TC level (SMD: 0.60; 95% CI: 0.32 to 0.89; <italic>P</italic>&lt;0.0001).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot of the levels of serum lipid profile in cases and healthy controls. Weights are from random effects analysis. <bold>(A)</bold> Meta-analysis of total cholesterol. <bold>(B)</bold> Meta-analysis of triglyceride. <bold>(C)</bold> Meta-analysis of high density lipoprotein. <bold>(D)</bold> Meta-analysis of low density lipoprotein. CI, confidence interval; SD, standard difference.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-876775-g002.tif"/>
</fig>
<p>Nine studies (<italic>n</italic>=1069 participants) compared the serum TG level between primary ovarian insufficiency women and healthy controls (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>), and there was significant heterogeneity among the studies (<italic>I<sup>2 </sup>= </italic>72%; <italic>P</italic>=0.0004). Primary ovarian insufficiency was significantly associated with an increased serum TG level (SMD: 0.36; 95% CI: 0.12 to 0.60; <italic>P=</italic>0.003).</p>
<p>Eleven studies (<italic>n</italic>=1745 participants) compared the serum HDL level between primary ovarian insufficiency women and healthy controls (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>), and there was significant heterogeneity among the studies (<italic>I<sup>2 </sup>= </italic>92%; <italic>P</italic>&lt;0.00001). There was no significant association between primary ovarian insufficiency and serum HDL level (SMD: 0.25; 95% CI: -0.12 to 0.61; <italic>P=</italic>0.19).</p>
<p>Eleven studies (<italic>n</italic>=1745 participants) compared the serum LDL level between primary ovarian insufficiency women and healthy controls (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>), and there was significant heterogeneity among the studies (<italic>I<sup>2</sup>
</italic> = 88%; <italic>P</italic>&lt;0.00001). Primary ovarian insufficiency was significantly associated with an increased serum LDL level (SMD: 0.46; 95% CI: 0.16 to 0.76; <italic>P=</italic>0.003).</p>
</sec>
<sec id="s3_3">
<title>Results of Subgroup Analysis</title>
<p>To search for the sources of heterogeneity and more accurately assess the differences between primary ovarian insufficiency women and healthy controls, subgroup analyses were conducted by geographical location, sample size, number of cases, mean BMI value of cases and mean age of cases.</p>
<p>As for geographical location (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), a higher TC level was found in African (<italic>p</italic>&lt;0.0001) and Turkish (<italic>p</italic>&lt;0.00001) women with POI than in healthy controls, but not in Asian (<italic>p</italic>=0.16) and European cases (<italic>p</italic>=0.08), and the heterogeneity of Turkish subgroup decreased (<italic>I<sup>2 </sup>= </italic>0%). A higher TG level was found in African (<italic>p</italic>&lt;0.00001) and Turkish (<italic>p</italic>=0.02) women with POI than in healthy controls, but not in European cases (<italic>p</italic>=0.08), and the heterogeneity of Turkish (<italic>I<sup>2 </sup>= </italic>22%) subgroup and European (<italic>I<sup>2 </sup>= </italic>43%) subgroup decreased. A higher HDL level was found in African (<italic>p</italic>&lt;0.00001) women with POI than in healthy controls, while a lower level was found in Asian (<italic>p</italic>&lt;0.0001) cases but not in European(<italic>p</italic>=0.95) and Turkish (<italic>p</italic>=0.06) cases, and the heterogeneity of Turkish subgroup decreased (<italic>I<sup>2 </sup>= </italic>53%). A higher LDL level was found in African (<italic>p</italic>&lt;0.00001) and Turkish (<italic>p</italic>&lt;0.00001) women with POI than in healthy controls, but not in Asian (<italic>p</italic>=0.09) and European (<italic>p</italic>=0.16) cases, and the heterogeneity of Turkish subgroup decreased (<italic>I<sup>2 </sup>= </italic>16%).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Subgroup analysis to investigate the relationship between geographical location and TC, TG, HDL, LDL.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Lipid parameters</th>
<th valign="top" colspan="4" align="center">Geographical location</th>
</tr>
<tr>
<th valign="top" align="center">Africa</th>
<th valign="top" align="center">Asia</th>
<th valign="top" align="center">Europe</th>
<th valign="top" align="center">Central Asia</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>TC</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">95%</td>
<td valign="top" align="center">0%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="center">0.88 (0.45, 1.32)</td>
<td valign="top" align="center">0.12 (-0.04,0.27)</td>
<td valign="top" align="center">0.77 (-0.09,1.63)</td>
<td valign="top" align="center">0.58 (0.41,0.75)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.0001</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.00001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>TG</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">43%</td>
<td valign="top" align="center">22%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="left">1.31 (0.85, 1.77)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.24 (-0.03,0.51)</td>
<td valign="top" align="center">0.24 (0.04,0.44)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.00001</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>HDL</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">92%</td>
<td valign="top" align="center">53%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="left">1.84 (1.34, 2.34)</td>
<td valign="top" align="center">-0.36 (-0.52,-0.20)</td>
<td valign="top" align="center">0.02 (-0.65,0.70)</td>
<td valign="top" align="center">0.26 (-0.01,0.52)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.00001</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.0001</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>LDL</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">90%</td>
<td valign="top" align="center">16%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="left">1.25 (0.80, 1.71)</td>
<td valign="top" align="center">-0.14 (-0.30,0.02)</td>
<td valign="top" align="center">0.45 (-0.17,1.07)</td>
<td valign="top" align="center">0.47 (0.27,0.66)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.00001</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.00001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TC, Total cholesterol; TG, Triglyceride; HDL, high density lipoprotein; LDL, low density lipoprotein; SMD, standard mean difference.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>As for sample size (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), the TC level in the cases was higher than that in healthy controls (<italic>p</italic>&lt;0.00001) with sample size&lt;200, while in the subgroup with sample size&#x2265;200. There was no correlation of TC level in the cases and healthy controls (<italic>p</italic>=0.09), and this subgroup had no heterogeneity (<italic>I<sup>2 </sup>= </italic>0%). The TG level in the cases was higher than that in healthy controls (<italic>p</italic>=0.008) with sample size&lt;200, while it was not associated with POI (<italic>p</italic>=0.07) in the subgroup of sample size&#x2265;200. In the subgroup with sample size&lt;200 (<italic>p</italic>=0.23) and sample size&#x2265;200 (<italic>p</italic>=0.21), there was no statistical difference in HDL level between the cases and healthy controls. LDL level was higher in women with POI than in healthy controls (<italic>p</italic>&lt;0.00001) with sample size&lt;200. However, in the subgroup with sample size &#x2265;200, serum LDL was not associated with POI (<italic>p</italic>=0.10), and there was no heterogeneity (<italic>I<sup>2 </sup>= </italic>0%) in this subgroup.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Subgroup analysis to investigate the relationship between sample size, number of cases and TC, TG, HDL, LDL.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Lipid parameters</th>
<th valign="top" colspan="2" align="center">Sample size</th>
<th valign="top" colspan="2" align="center">Cases</th>
</tr>
<tr>
<th valign="top" align="center">&lt;200</th>
<th valign="top" align="center">&#x2265;200</th>
<th valign="top" align="center">&lt;50</th>
<th valign="top" align="center">&#x2265;50</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>TC</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">78%</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="center">75%</td>
<td valign="top" align="center">92%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="center">0.72 (0.43, 1.02)</td>
<td valign="top" align="center">0.11 (-0.02, 0.25)</td>
<td valign="top" align="center">0.57 (0.18, 0.96)</td>
<td valign="top" align="center">0.64 (0.22, 1.05)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.00001</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>TG</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">72%</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="center">85%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="left">0.35 (0.09, 0.61)</td>
<td valign="top" align="center">0.23 (-0.02, 0.48)</td>
<td valign="top" align="center">0.41 (0.19, 0.64)</td>
<td valign="top" align="center">0.33 (-0.06, 0.73)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">0.0004</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>HDL</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">91%</td>
<td valign="top" align="center">79%</td>
<td valign="top" align="center">92%</td>
<td valign="top" align="center">93%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="left">0.27 (-0.17, 0.70)</td>
<td valign="top" align="center">-0.21 (-0.53, 0.12)</td>
<td valign="top" align="center">0.27 (-0.41, 0.95)</td>
<td valign="top" align="center">0.43</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.21 (-0.24, 0.67)</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>LDL</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">72%</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="center">59%</td>
<td valign="top" align="center">93%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="left">0.61 (0.34, 0.87)</td>
<td valign="top" align="center">-0.11 (-0.25, 0.02)</td>
<td valign="top" align="center">0.45 (0.12, 0.77)</td>
<td valign="top" align="center">0.48 (0.03, 0.92)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">&lt;0.00001</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TC, Total cholesterol; TG, Triglyceride; HDL, high density lipoprotein; LDL, low density lipoprotein; SMD, standard mean difference.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>As for number of cases (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>), in the subgroup with cases &lt;50 (<italic>p</italic>=0.004) and cases &#x2265;50 (<italic>p</italic>=0.003), the TC level in women with POI was higher than that in healthy controls. Women with POI had a higher TG level than the healthy controls (<italic>p</italic>=0.0004) with cases &lt;50, but not in the subgroup with cases&#x2265;50 (<italic>p</italic>=0.10),and there was no heterogeneity in this subgroup (<italic>I<sup>2</sup>
</italic> = 0%).In the subgroup with cases &lt;50 (<italic>p</italic>=0.43) and cases &#x2265;50 (<italic>p</italic>=0.35), serum HDL was not associated with POI. In the subgroup with cases&lt;50 (<italic>p</italic>=0.007) and cases&#x2265;50 (<italic>p</italic>=0.04), the LDL level in the cases was higher than in healthy controls, while the heterogeneity was reduced in the subgroup with the number of cases&lt;50 (<italic>I<sup>2 </sup>= </italic>59%).</p>
<p>As for the mean BMI value of cases (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>), patients with the mean BMI&lt;25 kg/m<sup>2</sup> had a higher TC level than the healthy controls (<italic>p</italic>=0.006). Meanwhile, the subgroup with the mean BMI&#x2265;25 kg/m<sup>2</sup> had the same conclusion (<italic>p</italic>&lt;0.00001), and no heterogeneity was found in this subgroup (<italic>I<sup>2 </sup>= </italic>0%). The results showed that patients with the mean BMI&lt;25 kg/m<sup>2</sup> had a higher TG level than healthy controls (<italic>p</italic>=0.01), but not in the subgroup with the mean BMI&#x2265;25 kg/m<sup>2</sup> (<italic>p</italic>=0.10), and the heterogeneity of this subgroup decreased (<italic>I<sup>2 </sup>= </italic>36%). In the subgroup with the mean BMI of cases &lt;25 kg/m<sup>2</sup>, there was no correlation of serum HDL in women with POI and healthy controls (<italic>p</italic>=0.42), and the same conclusion was found in the subgroup with the mean BMI of cases&#x2265;25 kg/m<sup>2</sup> (<italic>p</italic>=0.05), however, the heterogeneity of this subgroup decreased (<italic>I<sup>2 </sup>= </italic>55%).The results showed that patients with the mean BMI&lt;25 kg/m<sup>2</sup> had a higher LDL level than healthy controls (<italic>p</italic>=0.02), meanwhile, the subgroup with the mean BMI&#x2265;25 kg/m<sup>2</sup> had the same conclusion (<italic>p</italic>=0.0006), and no heterogeneity was found in this subgroup (<italic>I<sup>2 </sup>= </italic>0%).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Subgroup analysis to investigate the relationship between mean BMI value of cases, mean age of cases and TC, TG, HDL, LDL.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Lipid parameters</th>
<th valign="top" colspan="2" align="center">BMI (kg/m<sup>2</sup>)</th>
<th valign="top" colspan="2" align="center">Age (years)</th>
</tr>
<tr>
<th valign="top" align="center">&lt;25</th>
<th valign="top" align="center">&#x2265;25</th>
<th valign="top" align="center">&lt;35</th>
<th valign="top" align="center">&#x2265;35</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>TC</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">92%</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="center">90%</td>
<td valign="top" align="center">0%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="center">0.62 (0.18, 1.06)</td>
<td valign="top" align="center">0.52 (0.31, 0.73)</td>
<td valign="top" align="center">0.63 (0.26, 0.99)</td>
<td valign="top" align="left">0.54 (0.31, 0.78)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.00001</td>
<td valign="top" align="center">0.0008</td>
<td valign="top" align="center">
<italic>&lt;</italic>0.00001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>TG</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">82%</td>
<td valign="top" align="center">36%</td>
<td valign="top" align="center">77%</td>
<td valign="top" align="center">53%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="center">0.48 (0.09, 0.86)</td>
<td valign="top" align="center">0.22 (-0.04, 0.48)</td>
<td valign="top" align="center">0.45 (0.13, 0.78)</td>
<td valign="top" align="center">0.19 (-0.15, 0.52)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>HDL</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">94%</td>
<td valign="top" align="center">55%</td>
<td valign="top" align="center">94%</td>
<td valign="top" align="center">0%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="center">0.21 (-0.30, 0.73)</td>
<td valign="top" align="center">0.32 (0.00, 0.63)</td>
<td valign="top" align="center">0.17 (-0.30, 0.63)</td>
<td valign="top" align="center">0.45 (0.22,0.68)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.0001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>LDL</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>No. of studies</bold>
</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>I<sup>2</sup>
</italic>
</bold>
</td>
<td valign="top" align="center">92%</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="center">91%</td>
<td valign="top" align="center">0%</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SMD (95%CI)</bold>
</td>
<td valign="top" align="center">0.51 (0.07, 0.95)</td>
<td valign="top" align="center">0.36 (0.19, 0.57)</td>
<td valign="top" align="center">0.50 (0.10, 0.90)</td>
<td valign="top" align="center">0.34 (0.11, 0.57)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>
<italic>P</italic>
</bold>
</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.0006</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; TC, Total cholesterol; TG, Triglyceride; HDL, high density lipoprotein; LDL, low density lipoprotein; SMD ,standard mean difference.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>As for the mean age of cases (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>), women under the age of 35 with POI had a higher TC level than healthy controls (<italic>p</italic>=0.0008), and the same conclusion was found in women over 35 with POI (<italic>p</italic>&lt;0.00001), meanwhile, there was no heterogeneity in this subgroup (<italic>I<sup>2 </sup>= </italic>0%). The results showed that women under the age of 35 with POI had a higher TG level than healthy controls (<italic>p</italic>=0.006), but in the subgroup with the mean age of cases &#x2265;35, TG level was not associated with POI (<italic>p</italic>=0.28), and the heterogeneity was reduced in this subgroup (<italic>I<sup>2 </sup>= </italic>53%). In the subgroup with the mean age of cases&lt;35, serum HDL was not associated with primary ovarian insufficiency (<italic>p</italic>=0.48). While in the subgroup with the mean age of cases &#x2265;35, the HDL level in the cases was higher than that in healthy controls (<italic>p</italic>=0.0001), and there was no heterogeneity in this subgroup (<italic>I<sup>2 </sup>= </italic>0%). In the subgroup with the mean age of cases &lt;35 (<italic>p</italic>=0.01) and &#x2265;35 (<italic>p</italic>=0.003), the LDL level in the cases was higher than that in healthy controls, and there was no heterogeneity in the subgroup with the mean age &#x2265;35 (<italic>I<sup>2 </sup>= </italic>0%).</p>
</sec>
<sec id="s3_4">
<title>Sensitivity Analysis</title>
<p>As for TC, HDL and LDL levels, there was no qualitative change in the total effect size after removing the studies one by one, indicating that the meta-analysis results were stable and reliable.As for TG level, the results of this meta-analysis were weakly stable and sensitive to AbdulAzeez&#x2019;s study (<xref ref-type="bibr" rid="B20">20</xref>). After removing this study, the heterogeneity decreased (<italic>I<sup>2 </sup>= </italic>19%; <italic>p</italic>=0.28), TG level in women with POI was still higher than that in healthy controls (SMD: 0.24; 95% CI: 0.09 to 0.38; <italic>P</italic>=0.001).</p>
</sec>
</sec>
<sec id="s4">
<title>Publication Bias</title>
<p>The funnel plot method was used to detect publication bias, regarding TC, HDL and LDL, the shape of the funnel plots was not obviously asymmetric (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), indicated that there was no significant evidence of publication bias in this meta-analysis. The publication bias for TG was not assessed, as the Cochrane Handbook for Systematic Reviews of Interventions (<uri xlink:href="http://www.cochranehandbook.org">www.cochranehandbook.org</uri>) stated that the test for publication bias yields unreliable results when &lt;10 studies were included.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Funnel plot analysis to detect publication bias. <bold>(A)</bold> Funnel plot for total cholesterol. <bold>(B)</bold> Funnel plot for high density lipoprotein. <bold>(C)</bold> Funnel plot for low density lipoprotein. SMD, standard mean difference.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-876775-g003.tif"/>
</fig>
</sec>
<sec id="s5" sec-type="discussion">
<title>Discussion</title>
<p>To our knowledge, this is the first meta-analysis to explore the relationship between lipid profile and POI. A total of 12 studies were selected in this meta-analysis, and 1805 women were represented. The subgroup analyses based on region, sample size, number of cases, mean BMI value of cases and mean age of cases were performed. This meta-analysis indicated that levels of serum lipid profile were remarkably altered in patients with primary ovarian insufficiency: levels of serum TC, TG and LDL in women with POI were significantly higher than that in healthy controls, however, no significant difference was observed regarding the level of serum HDL between women with POI and healthy controls.</p>
<p>Women with POI present several risk factors for the occurrence and development of CVD: autonomic and endothelial dysfunction, insulin dysfunction, abnormal lipid profile (<xref ref-type="bibr" rid="B33">33</xref>), genetic variants associated with early menopause (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Diminished ovarian response to FSH is thought to cause the occurrence and development of atherosclerosis based on non-human primate models (<xref ref-type="bibr" rid="B36">36</xref>) and studies of hypothalamic angiography (<xref ref-type="bibr" rid="B37">37</xref>). Moreover, women with POI have been demonstrated to have impaired endothelial function regarded as a precursor to atherosclerosis (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B38">38</xref>). It has been reported that women during the menopause transition exhibit abnormal lipid profile, including increased serum levels of TC, LDL, TG and decreased level of HDL (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B39">39</xref>). In the same way, early impairment of ovarian function result in earlier or worse lipid profile alterations which lead to CVD in women with POI. Futhermore, genome-wide association studies have identified genetic overlap between the age associated decline in reproduction, lipid regulation and glucose regulation (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Hence, early menopause is associated with the subsequent CVD, conversely, women who experience CVD events prematurely (before age 35 years) have POI due to the genetic factors and the compromised vasculature following CVD events (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>The beneficial effects of intact ovarian function on lipid profile are generally ascribed to estradiol. Endogenous estradiol acts like an antioxidant, which has vasodilating and protective effects on cardiovascular system. It has also proven that estradiol promotes the degradation and excretion of blood fat, decreases the levels of serum TC and LDL, alters the distribution of TC in the body and reduces the accumulation of TC in the artery walls (<xref ref-type="bibr" rid="B43">43</xref>). Meanwhile, estradiol inhibits the activity of liver lipase, decelerates the degradation rate of HDL, accelerates the removal of LDL particles by liver and reduces the levels of serum TC and LDL by strengthening the activity of LDL receptors, thus improving lipid metabolism (<xref ref-type="bibr" rid="B44">44</xref>). In addition, estradiol deficiency leads to the activation of the renin-angiotensin system, the upregulation of the vasoconstrictor endothelin and the impairment of nitricoxide-mediated vasodilation. Endothelin and angiotensin II augment the oxidative stress, which may further contribute to atherosclerosis (<xref ref-type="bibr" rid="B45">45</xref>). Meanwhile, decreased estradiol reduces the release of nitric oxide by vascular endothelial cells by reducing the sensitivity of estrogen receptors, thereby increases the cardiac load (<xref ref-type="bibr" rid="B46">46</xref>). Thus, women with POI have a higher rate of CVD morbidity and mortality later in life due to estradiol deficiency for longer than women with natural menopause (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>Hormone replacement therapy (HRT) has been recommended by international guidelines for women with POI for many years (<xref ref-type="bibr" rid="B12">12</xref>). HRT is an exogenous supplement, which can relieve clinical symptoms, prevent the occurrence and development of diseases, and reduce the long-term complications with high disability rate and fatality rate (e.g., cardiovascular disease), and improve living standards (<xref ref-type="bibr" rid="B12">12</xref>) of women with POI. It has been reported that HRT can regulate lipid metabolism, strengthen LDL clearance, reduce the levels of serum TC, TG, LDL, improve lipoprotein composition ratio, and reduce the risk of cardiovascular events (<xref ref-type="bibr" rid="B49">49</xref>). HRT and simvastatin have similar lipid-regulating effects (<xref ref-type="bibr" rid="B50">50</xref>). In addition, the second report of the National Cholesterol Education Program recommends HRT as a treatment for dyslipidemia in postmenopausal women. Importantly, a 1-mg/dl increase in HDL level may be associated with a 3%~5% decrease in CVD, and again a 1% reduction in TC level equals a 2% reduction in CVD, however, this could only be achieved with HRT (<xref ref-type="bibr" rid="B51">51</xref>). Unfortunately, the acceptance rate of HRT in women with POI is extremely low (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>Subgroup analysis was conducted to further explore the source of heterogeneity and more accurately evaluate the correlation between lipid profile and POI. Heterogeneity in this meta-analysis of the correlation between TC and POI might come from region, sample size, mean BMI value of cases and mean age of cases. The correlation between TG and POI might come from region, sample size, number of cases, mean BMI value of cases and mean age of cases. The correlation between HDL and POI might come from region, mean BMI value of cases and mean age of cases. And the correlation between LDL and POI might come from region,sample size, number of cases, mean BMI value of cases and mean age of cases. (1) Because there is considerable overlap in Turkey of people with European ethnicity as well as west Asian (<xref ref-type="bibr" rid="B53">53</xref>), the regions in this meta-analysis were divided into Europe, Africa, Asia and Central Asia. People in different regions have different dietary habits, lifestyles and economic levels, which have different effects on levels of serum lipid profile; (2) all references included in this meta-analysis were designed as case-control studies. In case-control study, if the sample size or the number of cases is enormous, the research results will be affected by more confounders; (3) BMI&#x2265;25 kg/m<sup>2</sup> is diagnosed as overweight (<xref ref-type="bibr" rid="B54">54</xref>), overweight has significant impact on serum lipid profile, therefore, BMI value may be one of the sources of heterogeneity; and (4) ovarian reserve function is related to physiological age, in the reproductive domain, age&gt;35 is considered as advanced age, and ovarian function significantly declines (<xref ref-type="bibr" rid="B55">55</xref>), thus physiological age is regarded as one of the sources of heterogeneity.</p>
<p>Part of the sources of heterogeneity was found by subgroup analysis, however, the heterogeneity was still obvious, hence, sensitivity analysis was conducted. In this meta-analysis,the combined results of the correlation between TG level and POI were sensitive to AbdulAzeez&#x2019;s study (<xref ref-type="bibr" rid="B20">20</xref>), and the <italic>P</italic> values of the combined results were all less than 0.05 before and after the exclusion of the references. However, after excluding the references, the heterogeneity decreased (<italic>I<sup>2</sup>
</italic> decreased from 72% to 19%), therefore, AbdulAzeez&#x2019;s study (<xref ref-type="bibr" rid="B20">20</xref>) had significant impact on the heterogeneity of the combined results. After careful reading of the references, we found TG level in the study was estimated using glycerol-3 phosphate oxidase method, distinguishing from other studies using enzymatic and colorimetric methods. In addition, BMI value of the participants included in the study was not mentioned, and these confounders might cause heterogeneity. Sensitivity analysis revealed that the combined results of the correlation between TC, HDL, LDL levels and POI were stable and reliable. Moreover, no significant evidence of publication bias was found in this study, which also increased the credibility of this meta-analysis.</p>
<p>Nevertheless, a number of limitations in this meta-analysis should be acknowledged. Firstly, obvious heterogeneity existed among the original studies due to differences in sample size, background of subjects, diagnostic criteria of POI, and methods used to detect the levels of serum lipid profile. Secondly, the subgroup analyses of HRT using and mean age at diagnosis of POI were unable to be conducted due to the incomplete data. While the heterogeneity may relate to duration of POI rather than age per se, and the HDL level may be similar between POI and healthy controls due to the effect of HRT. Thirdly, the main confounders (e.g., diet or physical activity) influencing the lipid profile of patients in original studies were not adjusted. Finally, the references included in this study were all case-control studies, which would limit causal inference. Therefore, more cohort studies are needed to predict how the lipid profile in women with POI will develop over time. For these reasons, we recommend that our conclusions should be viewed conservatively.</p>
<p>In summary, this systematic review and meta-analysis demonstrated that the levels of serum TC, TG and LDL were significantly higher in subjects with POI. These mean that women who loss of ovarian function at a very young age will lead to some degree of changes in the lipid profile, increasing the risk of CVD. Therefore, we recommend that lipid profile should be evaluated and comprehensively studied to ensure that early medical intervention (especially HRT) and minimize the risk of CVD morbidity and mortality associated with dyslipidemia in patients with POI. Moreover, further studies are required to verify the relationship between serum HDL level and POI.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>LH, HW, MS, WK and MJ: literature search, screening, and data extraction. LH, HW, MS, WK: data analysis and results visualization. LH and HW: manuscript draft. MJ: manuscript modification. All authors reviewed the final version of the manuscript and approve it for publication. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grant from the National Natural Science Foundation of China (No. 81904240) and New Teacher Foundation of Beijing University of Chinese Medicine (No. 2021-JYB-XJSJJ-011).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Virani</surname> <given-names>SS</given-names>
</name>
<name>
<surname>Alonso</surname> <given-names>A</given-names>
</name>
<name>
<surname>Benjamin</surname> <given-names>EJ</given-names>
</name>
<name>
<surname>Bittencourt</surname> <given-names>M</given-names>
</name>
<name>
<surname>Tsao</surname> <given-names>CW</given-names>
</name>
</person-group>. <article-title>Heart Disease and Stroke Statistics&#x2014;2020 Update: A Report From the American Heart Association</article-title>. <source>Circulation</source> (<year>2020</year>) <volume>141</volume>(<issue>9</issue>):<page-range>e139&#x2013;596</page-range>. doi: <pub-id pub-id-type="doi">10.1161/CIR.0000000000000757</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Colditz</surname> <given-names>GA</given-names>
</name>
<name>
<surname>Willett</surname> <given-names>WC</given-names>
</name>
<name>
<surname>Stampfer</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Rosner</surname> <given-names>B</given-names>
</name>
<name>
<surname>Speizer</surname> <given-names>FE</given-names>
</name>
<name>
<surname>Hennekens</surname> <given-names>CH</given-names>
</name>
</person-group>. <article-title>Menopause and the Risk of Coronary Heart Disease in Women</article-title>. <source>New Engl J Med</source> (<year>1987</year>) <volume>316</volume>(<issue>18</issue>):<fpage>1105</fpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJM198704303161801</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Umland</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Rinaldi</surname> <given-names>C</given-names>
</name>
<name>
<surname>Parks</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Boyce</surname> <given-names>EG</given-names>
</name>
</person-group>. <article-title>The Impact of Estrogen Replacement Therapy and Raloxifene on Osteoporosis, Cardiovascular Disease, and Gynecologic Cancers</article-title>. <source>Ann Pharmacother</source> (<year>1999</year>) <volume>33</volume>(<issue>12</issue>):<page-range>1315&#x2013;28</page-range>. doi: <pub-id pub-id-type="doi">10.1345/aph.18463</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ambikairajah</surname> <given-names>A</given-names>
</name>
<name>
<surname>Walsh</surname> <given-names>E</given-names>
</name>
<name>
<surname>Cherbuin</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Lipid Profile Differences During Menopause: A Review With Meta-Analysis</article-title>. <source>Menopause</source> (<year>2019</year>) <volume>26</volume>(<issue>11</issue>):<page-range>1327&#x2013;33</page-range>. doi: <pub-id pub-id-type="doi">10.1097/GME.0000000000001403</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lorenzo</surname> <given-names>C</given-names>
</name>
<name>
<surname>Delgado</surname> <given-names>P</given-names>
</name>
<name>
<surname>Busse</surname> <given-names>CE</given-names>
</name>
<name>
<surname>Sanz-Bravo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ramiro</surname> <given-names>AR</given-names>
</name>
</person-group>. <article-title>ALDH4A1 is an Atherosclerosis Auto-Antigen Targeted by Protective Antibodies</article-title>. <source>Nature</source> (<year>2021</year>) <volume>589</volume>(<issue>7841</issue>):<fpage>1</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41586-020-2993-2</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Keidar</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Angiotensin, LDL Peroxidation and Atherosclerosis</article-title>. <source>Life Sci</source> (<year>1998</year>) <volume>63</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0024-3205(98)00014-9</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Al-Aubaidy</surname> <given-names>HA</given-names>
</name>
<name>
<surname>Jelinek</surname> <given-names>HF</given-names>
</name>
</person-group>. <article-title>Oxidative Stress and Triglycerides as Predictors of Subclinical Atherosclerosis in Prediabetes</article-title>. <source>Redox Rep</source> (<year>2014</year>) <volume>19</volume>(<issue>2</issue>):<fpage>87</fpage>&#x2013;<lpage>91</lpage>. doi: <pub-id pub-id-type="doi">10.1179/1351000213Y.0000000080</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khoudary</surname> <given-names>S</given-names>
</name>
<name>
<surname>Aggarwal</surname> <given-names>B</given-names>
</name>
<name>
<surname>Beckie</surname> <given-names>TM</given-names>
</name>
<name>
<surname>Hodis</surname> <given-names>HN</given-names>
</name>
<name>
<surname>Allison</surname> <given-names>MA</given-names>
</name>
</person-group>. <article-title>Menopause Transition and Cardiovascular Disease Risk: Implications for Timing of Early Prevention: A Scientific Statement From the American Heart Association</article-title>. <source>Circulation</source> (<year>2020</year>) <volume>142</volume>(<issue>25</issue>):<page-range>e506&#x2013;32</page-range>. doi: <pub-id pub-id-type="doi">10.1161/CIR.0000000000000912</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muka</surname> <given-names>T</given-names>
</name>
<name>
<surname>Oliver-Williams</surname> <given-names>C</given-names>
</name>
<name>
<surname>Kunutsor</surname> <given-names>S</given-names>
</name>
<name>
<surname>Laven</surname> <given-names>J</given-names>
</name>
<name>
<surname>Fauser</surname> <given-names>B</given-names>
</name>
<name>
<surname>Chowdhury</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Association of Age at Onset of Menopause and Time Since Onset of Menopause With Cardiovascular Outcomes, Intermediate Vascular Traits, and All-Cause Mortality: A Systematic Review and Meta-Analysis</article-title>. <source>JAMA Cardiol</source> (<year>2016</year>) <volume>1</volume>:<page-range>767&#x2013;76</page-range>. doi: <pub-id pub-id-type="doi">10.1001/jamacardio.2016.2415</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Hsin-Fang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Dobson</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>Nirmala</surname> <given-names>P</given-names>
</name>
<name>
<surname>Brunner</surname> <given-names>EJ</given-names>
</name>
<name>
<surname>Diana</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Type of Menopause, Age of Menopause and Variations in the Risk of Incident Cardiovascular Disease: Pooled Analysis of Individual Data From 10 International Studies</article-title>. <source>Hum Reprod</source> (<year>2020</year>) <volume>35</volume>(<issue>8</issue>):<page-range>1933&#x2013;43</page-range>. doi: <pub-id pub-id-type="doi">10.1093/humrep/deaa124</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jacobsen</surname> <given-names>BK</given-names>
</name>
<name>
<surname>Knutsen</surname> <given-names>SF</given-names>
</name>
<name>
<surname>Fraser</surname> <given-names>GE</given-names>
</name>
</person-group>. <article-title>Age at Natural Menopause and Total Mortality and Mortality From Ischemic Heart Disease: The Adventist Health Study</article-title>. <source>J Clin Epidemiol</source> (<year>1999</year>) <volume>52</volume>(<issue>4</issue>):<page-range>303&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S0895-4356(98)00170-X</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Webber</surname> <given-names>L</given-names>
</name>
<name>
<surname>Davies</surname> <given-names>M</given-names>
</name>
<name>
<surname>Anderson</surname> <given-names>R</given-names>
</name>
<name>
<surname>Bartlett</surname> <given-names>J</given-names>
</name>
<name>
<surname>Braat</surname> <given-names>D</given-names>
</name>
<name>
<surname>Cartwright</surname> <given-names>B</given-names>
</name>
<etal/>
</person-group>. <article-title>ESHRE Guideline: Management of Women With Premature Ovarian Insufficiency</article-title>. <source>Hum Reprod</source> (<year>2016</year>) <volume>31</volume>(<issue>5</issue>):<page-range>926&#x2013;37</page-range>. doi: <pub-id pub-id-type="doi">10.1093/humrep/dew027</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moher</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liberati</surname> <given-names>A</given-names>
</name>
<name>
<surname>Tetzlaff</surname> <given-names>J</given-names>
</name>
<name>
<surname>Altman</surname> <given-names>DG</given-names>
</name>
</person-group>. <article-title>Methods of Systematic Reviews and Meta-Analysis Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement</article-title>. <source>PloS Med</source> (<year>2009</year>) <volume>8</volume>(<issue>7</issue>):<page-range>336&#x2013;41</page-range>. doi: <pub-id pub-id-type="doi">10.1371/journal.pmed.1000097</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stroup</surname> <given-names>DF</given-names>
</name>
</person-group>. <article-title>Meta-Analysis of Observational Studies in Epidemiology: A Proposal for Reporting</article-title>. <source>JAMA</source> (<year>2000</year>) <volume>283</volume>(<issue>15</issue>):<page-range>2008&#x2013;12</page-range>. doi: <pub-id pub-id-type="doi">10.1001/jama.283.15.2008</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moher</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liberati</surname> <given-names>A</given-names>
</name>
<name>
<surname>Tetzlaff</surname> <given-names>J</given-names>
</name>
<name>
<surname>Altman</surname> <given-names>DG</given-names>
</name>
</person-group>. <article-title>The PRISMA Group. Preferred Reporting Items for Systematic Reviews and MetaAnalyses: The PRISMA Statement</article-title>. <source>PLoS Med</source> (<year>2009</year>) <volume>6</volume>(<issue>7</issue>):<elocation-id>e1000097</elocation-id>. doi: <pub-id pub-id-type="doi">10.1371/journal.pmed1000097</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stang</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Critical Evaluation of the Newcastle-Ottawa Scale for the Assessment of the Quality of Nonrandomized Studies in Meta-Analyses</article-title>. <source>Eur J Epidemiol</source> (<year>2010</year>) <volume>25</volume>(<issue>9</issue>):<page-range>603&#x2013;5</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s10654-010-9491-z</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hardy</surname> <given-names>RJ</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>SG</given-names>
</name>
</person-group>. <article-title>Detecting and Describing Heterogeneity in Meta-Analysis</article-title>. <source>Stat Med</source> (<year>1998</year>) <volume>17</volume>(<issue>8</issue>):<page-range>841&#x2013;56</page-range>. doi: <pub-id pub-id-type="doi">10.1002/(SICI)1097-0258(19980430)17:8&lt;841::AID-SIM781&gt;3.0.CO;2-D</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>DerSimonian</surname> <given-names>R</given-names>
</name>
<name>
<surname>Laird</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Meta-Analysis in Clinical Trials</article-title>. <source>Control Clin Trials</source> (<year>1986</year>) <volume>7</volume>(<issue>3</issue>):<page-range>177&#x2013;88</page-range>. doi: <pub-id pub-id-type="doi">10.1016/0197-2456(86)90046-2</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>G</given-names>
</name>
<name>
<surname>Berahmand</surname> <given-names>F</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>The Effect of Gum Consumption on Anthropometric Characteristics and Cardiac Disorders: A Systematic Review and Meta-Analysis of Randomized Controlled Trials</article-title>. <source>Complement Therapies Med</source> (<year>2020</year>) <volume>54</volume>:<fpage>102578</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ctim.2020.102578</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>AbdulAzeez</surname> <given-names>IM</given-names>
</name>
<name>
<surname>Biliaminu</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Okesina</surname> <given-names>AB</given-names>
</name>
<name>
<surname>Olatinwo</surname> <given-names>AWO</given-names>
</name>
<name>
<surname>Omokanye</surname> <given-names>LO</given-names>
</name>
</person-group>. <article-title>Lipid Profile in Subfertile Clients With Premature Ovarian Failure: University of Ilorin Teaching Hospital Experience</article-title>. <source>J Krishna Institute Med Sci Univ</source> (<year>2018</year>) <volume>7</volume>(<issue>2</issue>):<page-range>62&#x2013;7</page-range>.</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>A&#x11f;a&#xe7;ayak</surname> <given-names>E</given-names>
</name>
<name>
<surname>Yaman G&#xf6;r&#xfc;k</surname> <given-names>N</given-names>
</name>
<name>
<surname>K&#xfc;sen</surname> <given-names>H</given-names>
</name>
<name>
<surname>Yaman Tun&#xe7;</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ba&#x15f;arano&#x11f;lu</surname> <given-names>S</given-names>
</name>
<name>
<surname>&#x130;&#xe7;en</surname> <given-names>MS</given-names>
</name>
<etal/>
</person-group>. <article-title>Role of Inflammation and Oxidative Stress in the Etiology of Primary Ovarian Insufficiency</article-title>. <source>Turkish J Obstet Gynecol</source> (<year>2016</year>) <volume>13</volume>(<issue>3</issue>):<page-range>109&#x2013;15</page-range>. doi: <pub-id pub-id-type="doi">10.4274/tjod.00334</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ates</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yesil</surname> <given-names>G</given-names>
</name>
<name>
<surname>Sevket</surname> <given-names>O</given-names>
</name>
<name>
<surname>Molla</surname> <given-names>T</given-names>
</name>
<name>
<surname>Yildiz</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Comparison of Metabolic Profile and Abdominal Fat Distribution Between Karyotypically Normal Women With Premature Ovarian Insufficiency and Age Matched Controls</article-title>. <source>Maturitas</source> (<year>2014</year>) <volume>79</volume>(<issue>3</issue>):<page-range>306&#x2013;10</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.maturitas.2014.07.008</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bozkaya</surname> <given-names>V</given-names>
</name>
<name>
<surname>Yumusak</surname> <given-names>OH</given-names>
</name>
<name>
<surname>Ozaksit</surname> <given-names>G</given-names>
</name>
<name>
<surname>Tenekecio&#x11f;lu</surname> <given-names>E</given-names>
</name>
<name>
<surname>G&#xfc;l Ibri&#x15f;im</surname> <given-names>E</given-names>
</name>
<name>
<surname>Alkan</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>The Role of Oxidative Stress on Subclinical Atherosclerosis in Premature Ovarian Insufficiency and Relationship With Carotid Intima-Media Thickness</article-title>. <source>Gynecol Endocrinol Off J Int Soc Gynecol Endocrinol</source> (<year>2020</year>) <volume>36</volume>(<issue>8</issue>):<page-range>687&#x2013;92</page-range>. doi: <pub-id pub-id-type="doi">10.1080/09513590.2020.1766439</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cekici</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Kilic</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ovayolu</surname> <given-names>A</given-names>
</name>
<name>
<surname>Saracoglu</surname> <given-names>E</given-names>
</name>
<name>
<surname>Duzen</surname> <given-names>&#x130;V</given-names>
</name>
<name>
<surname>Yilmaz</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Prediction of Lipoprotein-Associated Phospholipase A2 and Inflammatory Markers in Subclinical Atherosclerosis in Premature Ovarian Failure Patients</article-title>. <source>Acta Cardiol Sin</source> (<year>2021</year>) <volume>37</volume>(<issue>1</issue>):<page-range>30&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.6515/ACS.202101_37(1).20200730A</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Falsetti</surname> <given-names>L</given-names>
</name>
<name>
<surname>Scalchi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Villani</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Bugari</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Premature Ovarian Failure</article-title>. <source>Gynecol Endocrinol Off J Int Soc Gynecol Endocrinol</source> (<year>1999</year>) <volume>13</volume>(<issue>3</issue>):<page-range>189&#x2013;95</page-range>. doi: <pub-id pub-id-type="doi">10.3109/09513599909167554</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gulhan</surname> <given-names>I</given-names>
</name>
<name>
<surname>Bozkaya</surname> <given-names>G</given-names>
</name>
<name>
<surname>Uyar</surname> <given-names>I</given-names>
</name>
<name>
<surname>Oztekin</surname> <given-names>D</given-names>
</name>
<name>
<surname>Pamuk</surname> <given-names>BO</given-names>
</name>
<name>
<surname>Dogan</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Serum Lipid Levels in Women With Premature Ovarian Failure</article-title>. <source>Menopause</source> (<year>2012</year>) <volume>19</volume>(<issue>11</issue>):<page-range>1231&#x2013;4</page-range>. doi: <pub-id pub-id-type="doi">10.1097/gme.0b013e318254102b</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lv</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Qi</surname> <given-names>T</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Meng</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ying</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Metabolic Profile of Women With Premature Ovarian Insufficiency Compared With That of Age-Matched Healthy Controls</article-title>. <source>Maturitas</source> (<year>2021</year>) <volume>148</volume>:<page-range>33&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.maturitas.2021.04.003</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Knauff</surname> <given-names>EA</given-names>
</name>
<name>
<surname>Westerveld</surname> <given-names>HE</given-names>
</name>
<name>
<surname>Goverde</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>Eijkemans</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Valkenburg</surname> <given-names>O</given-names>
</name>
<name>
<surname>van Santbrink</surname> <given-names>EJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Lipid Profile of Women With Premature Ovarian Failure</article-title>. <source>Menopause</source> (<year>2008</year>) <volume>15</volume>(<issue>5</issue>):<page-range>919&#x2013;23</page-range>. doi: <pub-id pub-id-type="doi">10.1097/gme.0b013e31816b4509</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kulaksizoglu</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ipekci</surname> <given-names>SH</given-names>
</name>
<name>
<surname>Kebapcilar</surname> <given-names>L</given-names>
</name>
<name>
<surname>Kebapcilar</surname> <given-names>AG</given-names>
</name>
<name>
<surname>Korkmaz</surname> <given-names>H</given-names>
</name>
<name>
<surname>Akyurek</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Risk Factors for Diabetes Mellitus in Women With Primary Ovarian Insufficiency</article-title>. <source>Biol Trace Element Res</source> (<year>2013</year>) <volume>154</volume>(<issue>3</issue>):<page-range>313&#x2013;20</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s12011-013-9738-0</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ostberg</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Attar</surname> <given-names>MJH</given-names>
</name>
<name>
<surname>Mohamed-Ali</surname> <given-names>V</given-names>
</name>
<name>
<surname>Conway</surname> <given-names>GS</given-names>
</name>
</person-group>. <article-title>Adipokine Dysregulation in Turner Syndrome: Comparison of Circulating Interleukin-6 and Leptin Concentrations With Measures of Adiposity and C-Reactive Protein</article-title>. <source>J Clin Endocrinol Metab</source> (<year>2005</year>) <volume>90</volume>(<issue>5</issue>):<page-range>2948&#x2013;53</page-range>. doi: <pub-id pub-id-type="doi">10.1210/jc.2004-1966</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Podfigurna</surname> <given-names>A</given-names>
</name>
<name>
<surname>Stellmach</surname> <given-names>A</given-names>
</name>
<name>
<surname>Szeliga</surname> <given-names>A</given-names>
</name>
<name>
<surname>Czyzyk</surname> <given-names>A</given-names>
</name>
<name>
<surname>Meczekalski</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Metabolic Profile of Patients With Premature Ovarian Insufficiency</article-title>. <source>J Clin Med</source> (<year>2018</year>) <volume>7</volume>(<issue>10</issue>):<fpage>374</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm7100374</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Podfigurna</surname> <given-names>A</given-names>
</name>
<name>
<surname>Stellmach</surname> <given-names>A</given-names>
</name>
<name>
<surname>Szeliga</surname> <given-names>A</given-names>
</name>
<name>
<surname>Czyzyk</surname> <given-names>A</given-names>
</name>
<name>
<surname>Meczekalski</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Metabolic Profile of Patients With Premature Ovarian Insufficiency</article-title>. <source>J Clin Med</source> (<year>2018</year>) <volume>7</volume>(<issue>10</issue>):<fpage>374</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm7100374</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Podfigurna</surname> <given-names>A</given-names>
</name>
<name>
<surname>M&#x119;czekalski</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Cardiovascular Health in Patients With Premature Ovarian Insufficiency. Management of Long-Term Consequences</article-title>. <source>Menopausal Rev</source> (<year>2018</year>) <volume>17</volume>(<issue>3</issue>):<page-range>109&#x2013;11</page-range>. doi: <pub-id pub-id-type="doi">10.5114/pm.2018.78551</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Louwers</surname> <given-names>YV</given-names>
</name>
<name>
<surname>Visser</surname> <given-names>JA</given-names>
</name>
</person-group>. <article-title>Shared Genetics Between Age at Menopause, Early Menopause, POI and Other Traits</article-title>. <source>Front Genet</source> (<year>2021</year>) <volume>12</volume>:<elocation-id>676546</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fgene.2021.676546</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schipper</surname> <given-names>I</given-names>
</name>
<name>
<surname>Louwers</surname> <given-names>YV</given-names>
</name>
</person-group>. <article-title>Premature and Early Menopause in Relation to Cardiovascular Disease</article-title>. <source>Semin Reprod Med</source> (<year>2020</year>) <volume>38</volume>(<issue>4-05</issue>):<page-range>270&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1055/s-0040-1722318</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tadin-Strapps</surname> <given-names>M</given-names>
</name>
<name>
<surname>Robinson</surname> <given-names>M</given-names>
</name>
<name>
<surname>Le Voci</surname> <given-names>L</given-names>
</name>
<name>
<surname>Andrews</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yendluri</surname> <given-names>S</given-names>
</name>
<name>
<surname>Williams</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Development of Lipoprotein(a) siRNAs for Mechanism of Action Studies in non-Human Primate Models of Atherosclerosis</article-title>. <source>J Cardiovasc Transl Res</source> (<year>2015</year>) <volume>8</volume>(<issue>1</issue>):<fpage>44</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12265-014-9605-1</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Torbati</surname> <given-names>T</given-names>
</name>
<name>
<surname>Suppogu</surname> <given-names>N</given-names>
</name>
<name>
<surname>Cook-Wiens</surname> <given-names>G</given-names>
</name>
<name>
<surname>Berga</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shufelt</surname> <given-names>CL</given-names>
</name>
</person-group>. <article-title>SAT-LB99 Inflammation May Mediate Coronary Artery Disease in Women With Hypothalamic Hypoestrogenemia: Findings From the NHLBI-Sponsored Women's Ischemia Syndrome Evaluation (WISE)</article-title>. <source>J Endocrine Soc</source> (<year>2020</year>) <volume>4</volume>(<supplement>Supplement_1</supplement>):<page-range>111&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1210/jendso/bvaa046.2078</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Honigberg</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Zekavat</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Aragam</surname> <given-names>K</given-names>
</name>
<name>
<surname>Finneran</surname> <given-names>P</given-names>
</name>
<name>
<surname>Klarin</surname> <given-names>D</given-names>
</name>
<name>
<surname>Bhatt</surname> <given-names>DL</given-names>
</name>
<etal/>
</person-group>. <article-title>Association of Premature Natural and Surgical Menopause With Incident Cardiovascular Disease</article-title>. <source>Jama</source> (<year>2019</year>) <volume>322</volume>(<issue>24</issue>):<page-range>2411&#x2013;21</page-range>. doi: <pub-id pub-id-type="doi">10.1001/jama.2019.19191</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>X</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>G</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Exploring the Link Between Number of Years Since Menopause and Metabolic Syndrome Among Women in Rural China: A Cross-Sectional Observational Study</article-title>. <source>Gynecol Endocrinol</source> (<year>2018</year>) <volume>34</volume>(<issue>8</issue>):<page-range>670&#x2013;4</page-range>. doi: <pub-id pub-id-type="doi">10.1080/09513590.2018.1441400</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Day</surname> <given-names>FR</given-names>
</name>
<name>
<surname>Ruth</surname> <given-names>KS</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Lunetta</surname> <given-names>KL</given-names>
</name>
<name>
<surname>Pervjakova</surname> <given-names>N</given-names>
</name>
<name>
<surname>Chasman</surname> <given-names>DI</given-names>
</name>
<etal/>
</person-group>. <article-title>Large-Scale Genomic Analyses Link Reproductive Aging to Hypothalamic Signaling, Breast Cancer Susceptibility and BRCA1-Mediated DNA Repair</article-title>. <source>Nat Genet</source> (<year>2015</year>) <volume>47</volume>(<issue>11</issue>):<page-range>1294&#x2013;303</page-range>. doi: <pub-id pub-id-type="doi">10.1038/ng.3412</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sarnowski</surname> <given-names>C</given-names>
</name>
<name>
<surname>Kavousi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Isaacs</surname> <given-names>S</given-names>
</name>
<name>
<surname>Demerath</surname> <given-names>EW</given-names>
</name>
<name>
<surname>Broer</surname> <given-names>L</given-names>
</name>
<name>
<surname>Muka</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Genetic Variants Associated With Earlier Age at Menopause Increase the Risk of Cardiovascular Events in Women</article-title>. <source>Menopause</source> (<year>2018</year>) <volume>25</volume>(<issue>4</issue>):<page-range>451&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1097/GME.0000000000001017</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Chung</surname> <given-names>HF</given-names>
</name>
<name>
<surname>Pandeya</surname> <given-names>N</given-names>
</name>
<name>
<surname>Dobson</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>Hardy</surname> <given-names>R</given-names>
</name>
<name>
<surname>Kuh</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Premenopausal Cardiovascular Disease and Age at Natural Menopause: A Pooled Analysis of Over 170,000 Women</article-title>. <source>Eur J Epidemiol</source> (<year>2019</year>) <volume>34</volume>(<issue>3</issue>):<page-range>235&#x2013;46</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s10654-019-00490-w</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gower</surname> <given-names>BA</given-names>
</name>
<name>
<surname>Nagy</surname> <given-names>TR</given-names>
</name>
<name>
<surname>Goran</surname> <given-names>MI</given-names>
</name>
<name>
<surname>Toth</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Poehlman</surname> <given-names>ET</given-names>
</name>
</person-group>. <article-title>Fat Distribution and Plasma Lipid-Lipoprotein Concentrations in Pre- and Postmenopausal Women</article-title>. <source>Int J Obes</source> (<year>1998</year>) <volume>22</volume>(<issue>7</issue>):<page-range>605&#x2013;11</page-range>. doi: <pub-id pub-id-type="doi">10.1038/sj.ijo.0800633</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Knopp</surname> <given-names>RH</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Lau</surname> <given-names>J</given-names>
</name>
<name>
<surname>Walden</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Sex Hormones and Lipid Interactions: Implications for Cardiovascular Disease in Women</article-title>. <source>Endocrinologist</source> (<year>1994</year>) <volume>4</volume>(<issue>4</issue>):<fpage>286</fpage>&#x2013;<lpage>301</lpage>. doi: <pub-id pub-id-type="doi">10.1097/00019616-199407000-00008</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Abramson</surname> <given-names>BL</given-names>
</name>
<name>
<surname>Melvin</surname> <given-names>RG</given-names>
</name>
</person-group>. <article-title>Cardiovascular Risk in Women: Focus on Hypertension</article-title>. <source>Can J Cardiol</source> (<year>2014</year>) <volume>30</volume>(<issue>5</issue>):<page-range>553&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.cjca.2014.02.014</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bechmann</surname> <given-names>N</given-names>
</name>
<name>
<surname>Kniess</surname> <given-names>T</given-names>
</name>
<name>
<surname>Pietzsch</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Nitric Oxide-Releasing Selective Estrogen Receptor Modulators (NO-SERMs): A Bifunctional Approach to Improve the Therapeutic Index</article-title>. <source>J Medicinal Chem</source> (<year>2019</year>) <volume>62</volume>(<issue>14</issue>):<page-range>471&#x2013;85</page-range>. doi: <pub-id pub-id-type="doi">10.1021/acs.jmedchem.9b00171</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bernhardt</surname> <given-names>L</given-names>
</name>
<name>
<surname>Lawson</surname> <given-names>CA</given-names>
</name>
</person-group>. <article-title>Early Menopause and Risk of Cardiovascular Disease: An Issue for Young Women</article-title>. <source>Lancet Public Health</source> (<year>2019</year>) <volume>4</volume>(<issue>11</issue>):<page-range>e539&#x2013;40</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S2468-2667(19)30184-7</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Chung</surname> <given-names>H</given-names>
</name>
<name>
<surname>Dobson</surname> <given-names>A</given-names>
</name>
<name>
<surname>Pandeya</surname> <given-names>N</given-names>
</name>
<name>
<surname>Giles</surname> <given-names>G</given-names>
</name>
<name>
<surname>Bruinsma</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Age at Natural Menopause and Risk of Incident Cardiovascular Disease: A Pooled Analysis of Individual Patient Data</article-title>. <source>Lancet Public Health</source> (<year>2019</year>) <volume>4</volume>(<issue>11</issue>):<page-range>e553&#x2013;64</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S2468-2667(19)30155-0</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miller</surname> <given-names>VT</given-names>
</name>
</person-group>. <article-title>Effects of Estrogen or Estrogen\/ Progestin Regimens on Heart Disease Risk Factors in Postmenopausal Women</article-title>. <source>JAMA</source> (<year>1995</year>) <volume>273</volume>(<issue>3</issue>):<page-range>199&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1001/jama.1995.03520270033028</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Darling</surname> <given-names>GM</given-names>
</name>
<name>
<surname>Johns</surname> <given-names>A</given-names>
</name>
<name>
<surname>McCloud</surname> <given-names>PI</given-names>
</name>
<name>
<surname>Davis</surname> <given-names>SR</given-names>
</name>
</person-group>. <article-title>Estrogen and Progestin Compared With Simvastatin for Hypercholesterolemia in Postmenopausal Women</article-title>. <source>New Engl J Med</source> (<year>1997</year>) <volume>337</volume>(<issue>9</issue>):<fpage>595</fpage>&#x2013;<lpage>601</lpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJM199708283370903</pub-id>
</citation>
</ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rossouw</surname> <given-names>JE</given-names>
</name>
</person-group>. <article-title>Hormone Replacement Therapy and Cardiovascular Disease</article-title>. <source>Curr Opin Lipidol</source> (<year>1999</year>) <volume>10</volume>(<issue>5</issue>):<page-range>429&#x2013;34</page-range>. doi: <pub-id pub-id-type="doi">10.1097/00041433-199910000-00007</pub-id>
</citation>
</ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Webber</surname> <given-names>L</given-names>
</name>
<name>
<surname>Anderson</surname> <given-names>RA</given-names>
</name>
<name>
<surname>Davies</surname> <given-names>M</given-names>
</name>
<name>
<surname>Janse</surname> <given-names>F</given-names>
</name>
<name>
<surname>Vermeulen</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>HRT for Women With Premature Ovarian Insufficiency: A Comprehensive Review</article-title>. <source>Hum Reprod Open</source> (<year>2017</year>) <volume>2017</volume>(<issue>2</issue>):<fpage>hox007</fpage>. doi: <pub-id pub-id-type="doi">10.1093/hropen/hox007</pub-id>
</citation>
</ref>
<ref id="B53">
<label>53</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alkan</surname> <given-names>C</given-names>
</name>
<name>
<surname>Kavak</surname> <given-names>P</given-names>
</name>
<name>
<surname>Somel</surname> <given-names>M</given-names>
</name>
<name>
<surname>Gokcumen</surname> <given-names>O</given-names>
</name>
<name>
<surname>Ugurlu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Saygi</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Whole Genome Sequencing of Turkish Genomes Reveals Functional Private Alleles and Impact of Genetic Interactions With Europe, Asia and Africa</article-title>. <source>BMC Genomics</source> (<year>2014</year>) <volume>15</volume>(<issue>1</issue>):<fpage>963</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1471-2164-15-963</pub-id>
</citation>
</ref>
<ref id="B54">
<label>54</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ian</surname> <given-names>RH</given-names>
</name>
<name>
<surname>Jens</surname> <given-names>E</given-names>
</name>
<name>
<surname>Gilbert</surname> <given-names>MR</given-names>
</name>
<name>
<surname>Armstrong</surname> <given-names>TS</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>W</given-names>
</name>
<name>
<surname>De</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>The Association Between BMI and BSA&#x2013;temozolomide-Induced Myelosuppression Toxicities: A Correlative Analysis of NRG Oncology RTOG 0525</article-title>. <source>Neuro Oncol Pract</source> (<year>2019</year>) <volume>6)</volume>:<fpage>6</fpage>. doi: <pub-id pub-id-type="doi">10.1093/nop/npz006</pub-id>
</citation>
</ref>
<ref id="B55">
<label>55</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>LaPolt</surname> <given-names>PS</given-names>
</name>
</person-group>. <article-title>Progesterone Implants Delay Age-Related Declines in Regular Estrous Cyclicity and the Ovarian Follicular Reserve in Long-Evans Rats</article-title>. <source>Biol Reprod</source> (<year>1998</year>) <volume>59</volume>(<issue>1</issue>):<fpage>197</fpage>&#x2013;<lpage>201</lpage>. doi: <pub-id pub-id-type="doi">10.1095/biolreprod59.1.197</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>