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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.2024.1384603</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Associations of sex hormone ratios with metabolic syndrome and inflammation in US adult men and women</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Dubey</surname>
<given-names>Pallavi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Singh</surname>
<given-names>Vishwajeet</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2655300"/>
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<contrib contrib-type="author">
<name>
<surname>Venishetty</surname>
<given-names>Nikit</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Trivedi</surname>
<given-names>Meesha</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Reddy</surname>
<given-names>Sireesha Y.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lakshmanaswamy</surname>
<given-names>Rajkumar</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1339926"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dwivedi</surname>
<given-names>Alok Kumar</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/130725"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Obstetrics and Gynecology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso</institution>, <addr-line>El Paso, TX</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Office of Research, Biostatistics and Epidemiology Consulting Lab, Texas Tech University Health Sciences Center El Paso</institution>, <addr-line>El Paso, TX</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Medical Education, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso</institution>, <addr-line>El Paso, TX</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso</institution>, <addr-line>El Paso, TX</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>L. Frederick Francis Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center El Paso</institution>, <addr-line>El Paso, TX</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Aleksandra Klisic, Primary Health Care Center Podgorica, Montenegro</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Amirmohammad Khalaji, Tehran University of Medical Sciences, Iran</p>
<p>Julieta Palomeque, Universidad Nacional de La Plata, Argentina</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Alok Kumar Dwivedi, <email xlink:href="mailto:alok.dwivedi@ttuhsc.edu">alok.dwivedi@ttuhsc.edu</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;ORCID: Alok Kumar Dwivedi, <uri xlink:href="https://orcid.org/0000-0003-4574-1761">orcid.org/0000-0003-4574-1761</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1384603</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Dubey, Singh, Venishetty, Trivedi, Reddy, Lakshmanaswamy and Dwivedi</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Dubey, Singh, Venishetty, Trivedi, Reddy, Lakshmanaswamy and Dwivedi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Sex hormones play a critical role in sex differences and cardiovascular disease risk associated with metabolic syndrome (MS) and inflammation. However, the associations of sex hormone ratios with metabolic and inflammatory markers are unclear according to sex and age differences. We evaluated the associations of sex hormone ratios with MS and inflammation among males and females.</p>
</sec>
<sec>
<title>Methods</title>
<p>A retrospective cross-sectional study was conducted by including all adults from the National Health and Nutrition Examination Survey cycles 2013-2016 and excluding any pregnant women, heart disease, diabetes, and those currently taking insulin. MS was defined using the National Cholesterol Education Program criteria and a high-sensitivity C-reactive protein (CRP) level&gt;3 mg/L was defined as a high CRP. Measures of MS components and CRP concentrations were also analyzed. The primary exposures were testosterone to estradiol (excess androgen index), testosterone to sex hormone-binding globulin (free androgen index), and estradiol to sex hormone-binding globulin (free estradiol index). The adjusted associations were summarized with a relative risk (RR) and 95% confidence interval (CI).</p>
</sec>
<sec>
<title>Results</title>
<p>This study included 9167 subjects with 4360 males and 4807 females. Increases in free estradiol index were positively associated with MS (RR=1.48; 95%CI: 1.39, 1.58; RR=1.31; 95%CI: 1.22, 1.40) and high CRP (RR=1.49; 95%CI: 1.25, 1.77; RR=1.26; 95%CI: 1.06, 1.50) in men with age&lt;50 years and age&#x2265;50 years, respectively. Similarly, higher free estradiol index was also robustly associated with increased prevalence of MS (RR=1.22; 95%CI: 1.15, 1.28) and high CRP (RR=1.68; 95%CI: 1.48, 1.90) in women with age &#x2265;50 years. Among women with age&lt;50 years, a higher free androgen index was associated with MS (RR=1.34; 95%CI: 1.25, 1.42) and high CRP (RR=1.13; 95%CI: 1.02, 1.25). These associations were unchanged even after adjusting for all sex hormones.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Free estradiol index was consistently and positively associated with MS and high CRP in males of all ages and older females. Free androgen index was positively associated with MS and high CRP in females with age&lt;50 years.</p>
</sec>
</abstract>
<kwd-group>
<kwd>sex hormones</kwd>
<kwd>metabolic syndrome</kwd>
<kwd>C-reactive protein</kwd>
<kwd>cardiovascular disease</kwd>
<kwd>obesity</kwd>
<kwd>inflammation</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="61"/>
<page-count count="10"/>
<word-count count="4699"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cardiovascular Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Metabolic syndrome (MS) increases the risk of cardiovascular disease (CVD) in both sexes and is associated with multiple diseases including sleep apnea, liver disease, polycystic ovary syndrome (PCOS), and hormone-sensitive cancers (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). High atherosclerotic CVD accounts for 33-40% of all mortality in the United States and the European Union (<xref ref-type="bibr" rid="B4">4</xref>). Accumulative evidence indicates that MS-associated CVD risk is highly linked with sex and sex hormones over the lifetime (<xref ref-type="bibr" rid="B5">5</xref>). Although men are more likely to be at risk for CVD than women, the risk of developing CVD increases drastically after menopause in women, particularly in those with menstrual dysfunction. It has been postulated that changes in sex hormones owing to menopause transition or menstrual dysfunction may be contributory factors for adverse CVD risk in postmenopausal women (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). However, MS is often comorbid with systemic low-grade inflammation, making a worse prognosis (<xref ref-type="bibr" rid="B9">9</xref>). Emerging evidence suggests that chronic low-grade inflammation may serve as an independent marker for atherosclerotic CVD. In addition, sex-specific differences have also been observed in MS-associated inflammation (<xref ref-type="bibr" rid="B10">10</xref>). The current prevalence of MS is 34.7% in the United States. A notable increase in MS has become a major global health concern, especially among women, young adults, and some ethnic groups (<xref ref-type="bibr" rid="B11">11</xref>). Since imbalances in the sex hormones and sex chromosomes are associated with the development of metabolic abnormalities and inflammatory diseases, sex hormones may serve as global markers for MS and inflammation-associated CVD outcomes (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Multiple studies have investigated the association between sex hormones and MS in women with PCOS, pre- or postmenopausal women, or men (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B13">13</xref>). A large meta-analysis confirmed the sex-dependent association of total testosterone (TT) and free testosterone with MS while a sex-independent association between sex hormone-binding globulin (SHBG) and MS (<xref ref-type="bibr" rid="B14">14</xref>). Recently, some studies highlighted a balance between TT to estradiol (E) is critical for CVD risk evaluation in men or women (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). Limited studies also evaluated a ratio of TT to SHBG or E to SHBG as a marker for CVD risk (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). However, these studies produced contradictory findings. Although several studies highlight the influence of sex hormones on inflammatory and immune cell functions, limited studies evaluated the role of a ratio of sex hormones on inflammatory markers (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). Several studies demonstrated that C-reactive protein (CRP) and MS are associated with carotid atherosclerosis differently in different sexes indicating different sex hormones might be associated with MS and CRP in different sexes (<xref ref-type="bibr" rid="B31">31</xref>). Despite the potential influence of MS and inflammation on CVD risk, the associations of ratios of sex hormones with metabolic and inflammatory markers are not evaluated according to sex and age groups. A direct comparison of the ratios of sex hormones in association with MS and inflammatory markers may provide a valuable global marker for risk stratification of MS and inflammatory-related diseases.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>This retrospective cross-sectional study was designed using data from the National Health and Nutrition Examination Survey (NHANES), a nationally representative sample of a non-institutionalized population designed to evaluate the health and nutritional status in the United States. This study contains participants from the cycle years of 2013 to 2014 and 2015-2016. The NHANES collects data after obtaining approval from the National Center for Health Statistics Research Ethics Review Board, Centers for Disease Control and Prevention, and receiving written consent from the participants. The study cohort uses a probability sampling design to represent the general US population (<xref ref-type="bibr" rid="B32">32</xref>). The study samples included all adults. Pregnant women, heart disease, diabetes, and currently taking insulin were excluded from the study. Of the total eligible sample (N=10,113), limited missing data on all sex hormones (N=946) were also excluded from the study.</p>
</sec>
<sec id="s2_2">
<title>Exposure assessment</title>
<p>The serum measurements of TT (ng/dL) and E(pg/mL) were obtained using isotope dilution-liquid-chromatography tandem mass spectrometry (ID-LC-MS/MS) method while SHBG(nmol/L) concentrations were obtained using immuno-antibodies and chemo-luminescence methods. The details of quality assessment, data processing, and editing are listed in published studies (<xref ref-type="bibr" rid="B32">32</xref>). We computed three ratios including excess androgen index (EAI) using TT/E, free estradiol index (FEI) using E/SHBG, and free androgen index (FAI) using TT/SHBG by converting all sex hormones in the same units. The z-standardized form of these three exposures was included in the analysis. We also validated associations by categorizing sex hormones into tertiles.</p>
</sec>
<sec id="s2_3">
<title>Metabolic syndrome and inflammatory markers</title>
<p>Trained staff collect blood samples along with laboratory and physical measures from all eligible participants using standardized protocols and methods. The MS was defined by having three of the following components: high blood pressure based on systolic blood pressure (SBP, mmHg) and diastolic blood pressure (DBP, mmHg), high triglyceride (TG, mg/dL), high fasting glucose (FG, nmol/L), increased waist circumference (WC, cm), and low high-density lipoprotein (HDL) using the National Cholesterol Education Program&#x2019;s Adult Treatment Panel III guidelines (<xref ref-type="bibr" rid="B32">32</xref>). A high-sensitivity CRP was measured with the Beckman Coulter UniCel DxC 600 or DxC 660i Synchron Access chemistry analyzers. A CRP level &gt;3mg/L was considered high CRP (<xref ref-type="bibr" rid="B33">33</xref>). We also analyzed CRP concentrations in validation analysis. Additionally, secondary outcomes in the study were the individual components of MS in addition to low-density lipoprotein (LDL). All the laboratory samples and survey data were collected at similar times in the NHANES database.</p>
</sec>
<sec id="s2_4">
<title>Covariates</title>
<p>We retrieved data on demographic and risk factors. The demographic data included ethnicity (Hispanic, non-Hispanic), age (years), marital status (never married, married/living with partners, widowed/divorced/separated), education (&lt;high school, high school graduate, some college degree, college graduate or above), and income in $ (&lt;45k, 45-100k, &gt;100k). Epidemiologic risk factors included physical status (no vs. yes), smoking status (no vs. yes), drinking status (nondrinker/occasional drinker, excessive/binge drinker, unknown), unhealthy diet (no vs. yes), body mass index (BMI-kg/m<sup>2</sup>) levels, and birth control pills (BCP) or hormone use (no vs. yes). A priori, all these covariates excluding BMI were adjusted in multivariable analyses (<xref ref-type="bibr" rid="B34">34</xref>). In addition, BCP/hormone use was also adjusted in the multivariable analysis of female samples.</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>Survey weight-adjusted analysis was performed to describe and analyze data. The quantitative data were summarized with either mean and standard deviation (SD) or median with interquartile range (IQR). Categorical data were presented with frequencies and&#xa0;percentages. Log-transformed sex hormones and CRP concentrations were included in the analyses. All the statistical analyses were performed separately for male and female cohorts. Adjusted association of each sex hormone marker with MS was evaluated using survey-weighted Poisson regression analysis with a log link. However, the adjusted association of each sex hormone marker with each quantitative outcome was determined using survey-weighted linear regression analysis. Owing to a strong interaction between the age group (&lt;50 vs. &#x2265;50 years) and each sex hormone for MS and CRP outcomes, all analyses were conducted by age group (&lt;50 vs. &#x2265;50 years) within each sex. We further validated the associations with primary outcomes by considering the categorized form of each sex hormone using tertiles in the multivariable analyses. The results were further validated by additionally adjusting for the individual sex hormones (TT. E, and SHBG) using double-selection lasso logistic regression models. The LASSO (Least Absolute Shrinkage and Selection Operator) method under the double&#x2013;selection logistic model allows us to adjust for collinear variables. Due to multiple comparisons, the primary results were considered significant at 1% alpha. The results from Poisson regression analysis were described using relative risk (RR) with 95% confidence interval (CI) whereas regression coefficient (RC) and 95%CI were used for summarizing effect sizes obtained from linear regression analyses. All statistical analyses were conducted using STATA 17 and reported using the Strengthening the Reporting of Observational Studies in Epidemiology checklist (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>A total of 9,167 subjects including 4,360 males and 4,807 females were included in the analysis. The study contains subjects with an average age (SD) of 45 (17.1) years, mostly non-Hispanics (84.7%) and married (61.3%). Relatively, male participants were younger, smokers, drinkers, physically active, and overweight or obese than females (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The prevalence of MS and high CRP was 42%, 25.1% in males, and 43.6% and 37.8% in females, respectively. The median E concentration was markedly lower in women with age&#x2265;50 years (22.0 vs. 241.2) while the median SHBG (48.8 vs. 31.7) was significantly higher in males with age&#x2265;50 years without much difference in TT (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). Most sex hormone ratios had an interaction with the age group (&lt;50 years vs. &#x2265;50 years) on both MS and high CRP outcomes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). Accordingly, the association of sex hormones with outcomes was reported separately for each age group.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Subject Characteristics, National Health and Nutrition Examination Survey (2013&#x2013;2016).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Factor</th>
<th valign="top" align="left">Entire cohort<break/>(N=9167)</th>
<th valign="top" align="left">Male<break/>(N=4360)</th>
<th valign="top" align="left">Female<break/>(N=4807)</th>
<th valign="top" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">N (%)</td>
<td valign="top" align="left">N (%)</td>
<td valign="top" align="left">N (%)</td>
<td valign="top" align="left">
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age</bold> (years), mean (SD)</td>
<td valign="top" align="left">45.15 (17.13)</td>
<td valign="top" align="left">43.78 (16.67)</td>
<td valign="top" align="left">46.42(17.45)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<th valign="top" align="left">Ethnicity</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">0.026</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Non-Hispanic</td>
<td valign="top" align="left">6730 (84.69%)</td>
<td valign="top" align="left">3265 (84.09%)</td>
<td valign="top" align="left">3465 (85.24%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Hispanic</td>
<td valign="top" align="left">2437 (15.31%)</td>
<td valign="top" align="left">1095 (15.91%)</td>
<td valign="top" align="left">1342 (14.76%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">Marital Status</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">&lt;0.001</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Never Married</td>
<td valign="top" align="left">1746 (18.60%)</td>
<td valign="top" align="left">891 (20.77%)</td>
<td valign="top" align="left">855 (16.59%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Married/Living with a partner</td>
<td valign="top" align="left">5168 (61.28%)</td>
<td valign="top" align="left">2635 (64.55%)</td>
<td valign="top" align="left">2533 (58.24%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Widowed/Divorced/Separated</td>
<td valign="top" align="left">1720 (16.76%)</td>
<td valign="top" align="left">570 (11.05%)</td>
<td valign="top" align="left">1150 (22.07%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Missing/Refused</td>
<td valign="top" align="left">533 (3.36%)</td>
<td valign="top" align="left">264 (3.63%)</td>
<td valign="top" align="left">269 (3.11%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">Education</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">&lt;0.001</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;&lt; High School</td>
<td valign="top" align="left">1996 (14.54%)</td>
<td valign="top" align="left">1020 (15.95%)</td>
<td valign="top" align="left">976 (13.23%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;High school graduate or GED</td>
<td valign="top" align="left">2109 (21.82%)</td>
<td valign="top" align="left">1062 (23.14%)</td>
<td valign="top" align="left">1047 (20.59%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Some College or AA degree</td>
<td valign="top" align="left">2764 (32.00%)</td>
<td valign="top" align="left">1193 (29.34%)</td>
<td valign="top" align="left">1571 (34.47%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;College graduate or above</td>
<td valign="top" align="left">2294 (31.64%)</td>
<td valign="top" align="left">1084 (31.57%)</td>
<td valign="top" align="left">1210 (31.70%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">Income ($)</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">&lt;0.001</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;&lt; 45k</td>
<td valign="top" align="left">4450 (38.81%)</td>
<td valign="top" align="left">2070 (36.39%)</td>
<td valign="top" align="left">2380 (41.06%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;45-100k</td>
<td valign="top" align="left">1445 (29.67%)</td>
<td valign="top" align="left">1171 (30.60%)</td>
<td valign="top" align="left">1274 (28.80%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;&gt;100k</td>
<td valign="top" align="left">1572 (25.26%)</td>
<td valign="top" align="left">785 (26.66%)</td>
<td valign="top" align="left">787 (23.96%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Missing</td>
<td valign="top" align="left">700 (6.26%)</td>
<td valign="top" align="left">334 (6.34%)</td>
<td valign="top" align="left">366 (6.18%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">Smoking</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">&lt;0.001</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;No</td>
<td valign="top" align="left">5523 (58.62%)</td>
<td valign="top" align="left">2230 (52.55%)</td>
<td valign="top" align="left">3293 (64.26%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Yes</td>
<td valign="top" align="left">3634 (41.38%)</td>
<td valign="top" align="left">2125 (47.45%)</td>
<td valign="top" align="left">1509 (35.74%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">Type of drinker</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">&lt;0.001</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Nondrinkers/occasional drinkers</td>
<td valign="top" align="left">1472 (12.13%)</td>
<td valign="top" align="left">478 (8.84%)</td>
<td valign="top" align="left">994 (15.18%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Excessive/binge drinkers</td>
<td valign="top" align="left">3832 (46.91%)</td>
<td valign="top" align="left">2255 (55.94%)</td>
<td valign="top" align="left">1577 (38.54%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Unknown</td>
<td valign="top" align="left">3863 (40.96%)</td>
<td valign="top" align="left">1627 (35.21%)</td>
<td valign="top" align="left">2236 (46.29%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">Unhealthy diet</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">0.002</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;No</td>
<td valign="top" align="left">6390 (72.77%)</td>
<td valign="top" align="left">3023 (70.43%)</td>
<td valign="top" align="left">3367 (74.93%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Yes</td>
<td valign="top" align="left">2777 (27.23%)</td>
<td valign="top" align="left">1337 (29.57%)</td>
<td valign="top" align="left">1440 (25.07%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">Physical Activity</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">&lt;0.001</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;No</td>
<td valign="top" align="left">2712 (24.74%)</td>
<td valign="top" align="left">1030 (19.29%)</td>
<td valign="top" align="left">1682 (29.80%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Yes</td>
<td valign="top" align="left">6455 (75.26%)</td>
<td valign="top" align="left">3330 (80.71%)</td>
<td valign="top" align="left">3125 (70.20%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">BMI (kg/m<sup>2</sup>)</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left">0.001</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Underweight/Normal</td>
<td valign="top" align="left">3010 (32.01%)</td>
<td valign="top" align="left">1408 (29.18%)</td>
<td valign="top" align="left">1602 (34.64%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Overweight/Obese</td>
<td valign="top" align="left">6075 (67.21%)</td>
<td valign="top" align="left">2913 (69.91%)</td>
<td valign="top" align="left">3162 (64.70%)</td>
<td valign="top" align="left">
</td>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Missing</td>
<td valign="top" align="left">82 (0.78%)</td>
<td valign="top" align="left">39 (0.91%)</td>
<td valign="top" align="left">43 (0.66%)</td>
<td valign="top" align="left">
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">BCP/Hormone</th>
</tr>
<tr>
<td valign="top" align="left">&#xa0;No</td>
<td valign="top" align="left">1338 (10.88%)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">1338 (20.97%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Yes</td>
<td valign="top" align="left">2985 (36.56%)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">2985 (70.49%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#xa0;Unknown</td>
<td valign="top" align="left">4844 (52.56%)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">484 (8.54%)</td>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SD, Standard deviation; BMI, Body Mass Index; BCP, Birth Control Pills; GED, Graduate Equivalent Degree; NA, Not Applicable. Data are expressed with N(%) otherwise specified.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>Associations of sex hormone ratios with MS and CRP in males by age group</title>
<p>Increases in FEI (RR=1.48; 95%CI: 1.39, 1.58) were strongly associated with MS to a greater extent than EAI (RR=0.71; 95%CI: 0.66, 0.76) and FAI levels (RR=1.09; 95%CI: 1.02, 1.16) in males with age &lt;50 years (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The FEI remained strongly associated with MS compared to FAI or EAI even after additionally adjusting for E, TT, and SHBG concentrations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). Moreover, a high FEI was markedly associated with the increased prevalence of MS compared to all sex hormones including low SHBG, TT, or high E (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>). Similarly, increases in FEI (RR=1.49; 95%CI: 1.25, 1.77) were also associated with high CRP to a greater extent than EAI (RR=0.70; 95%CI: 0.62, 0.78) in males with age &lt;50 years. However, the FAI was not associated with high CRP (RR= 0.95; 95%CI: 0.84, 1.08) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). In all sensitivity analyses, increases in FEI remained statistically significantly associated with high CRP after additionally adjusting for E, TT, and SHBG concentrations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>) or CRP concentrations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;5</bold>
</xref>). A high FEI was also&#xa0;markedly associated with high CRP to a greater extent than&#xa0;other&#xa0;combinations of sex hormones (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Adjusted associations of sex hormone ratios with metabolic syndrome (MS) and high C-reactive protein (CRP) in males according to age groups. FEI, Free Estradiol Index; EAI, Excess Androgen Index; FAI, Free Androgen Index; RR, Relative Risk; CI, Confidence Interval. Regression models were adjusted for age, ethnicity, marital status, education, income, physical activity, smoking, drinking, and unhealthy diet.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1384603-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Adjusted associations of categorized sex hormone ratios with metabolic syndrome (MS) and high C-reactive protein (CRP) in males according to age groups. FEI, Free Estradiol Index; EAI, Excess Androgen Index; FAI, Free Androgen Index; RR, Relative Risk; CI, Confidence Interval. T1, First Tertile (reference category); T2, Second Tertile; T3, Third Tertile. Regression models were adjusted for age, ethnicity, marital status, education, income, physical activity, smoking, drinking, and unhealthy diet.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1384603-g002.tif"/>
</fig>
<p>Among males with age&#x2265;50 years, higher FEI levels were strongly associated with MS (RR=1.31; 95%CI: 1.22, 1.40) and high CRP (RR=1.26; 95%CI: 1.06, 1.50). Similarly, increases in EAI were also inversely associated with MS (RR=0.76; 95%CI: 0.71, 0.81) and high CRP (RR= 0.72; 95%CI: 0.62, 0.83). In contrast, FAI was not associated with MS (RR= 1.04; 95%CI: 0.96, 1.13) or high CRP (RR= 0.90; 95%CI: 0.79, 1.03) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The FEI remained the strongest factor positively associated with MS or high CRP in all sensitivity analyses including after additionally adjusting for E, TT, and SHBG concentrations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>) or analysis of CRP concentrations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;5</bold>
</xref>). In the categorized analysis of sex hormones, a high FEI was consistently associated with MS and high CRP than individual sex hormones or their combinations (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<title>Associations of sex hormone ratios with MS and CRP in females by age group</title>
<p>In females of age &lt;50 years, only higher FAI levels were consistently and positively associated with MS (RR= 1.34; 95%CI: 1.25, 1.42) and high CRP (RR=1.13; 95%CI: 1.02, 1.25) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). This association was unchanged in additional adjusted analyses (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;6</bold>
</xref>), categorized analysis of sex hormones or sex hormone ratios (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;7</bold>
</xref>), or analysis of CRP concentrations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;8</bold>
</xref>). In females with age&#x2265;50 years, higher concentrations of FEI (RR=1.22; 95%CI: 1.15, 1.28) were associated with MS to a greater extent than FAI (RR=1.15 95%CI: 1.08, 1.22) or EAI (RR=0.90; 95%CI: 0.86, 0.95). Similarly, higher concentrations of FEI (RR= 1.68; 95%CI: 1.48, 1.90) were markedly associated with high CRP than FAI (RR= 1.39; 95%CI: 1.26, 1.54) or EAI (RR= 0.72; 95%CI: 0.66, 0.79) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). These associations were also confirmed in the categorized analysis of sex hormone ratios (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> or <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;7</bold>
</xref>) or additional adjusted analyses (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;6</bold>
</xref>) or CRP concentration (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;8</bold>
</xref>) analyses.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Adjusted associations of sex hormone ratios with metabolic syndrome (MS) and high C-reactive protein (CRP) in females according to age groups. FEI, Free Estradiol Index; EAI, Excess Androgen Index; FAI, Free Androgen Index; RR, Relative Risk; CI, Confidence Interval. Regression models were adjusted for age, ethnicity, marital status, education, income, physical activity, smoking, drinking, unhealthy diet, and birth control pills/hormone use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1384603-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Adjusted associations of categorized sex hormone ratios with metabolic syndrome (MS) and high C-reactive protein (CRP) in females according to age groups. FEI, Free Estradiol Index; EAI, Excess Androgen Index; FAI, Free Androgen Index; RR, Relative Risk; CI, Confidence Interval. T1, First Tertile (reference category); T2, Second Tertile; T3, Third Tertile. Regression models were adjusted for age, ethnicity, marital status, education, income, physical activity, smoking, drinking, unhealthy diet, and birth control pills/hormone use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1384603-g004.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Associations of sex hormone ratios with individual components of MS by sex and age group</title>
<p>Among males with age&lt;50 years, both EAI and FEI were associated with all individual components of MS. However, a higher FEI (RC=26.3; 95%CI: 19.6, 33.0) was strongly associated with higher triglyceride compared to EAI (RC=-23.8; 95%CI: -30.4, -17.2). The EAI was inversely associated with waist circumference (RC=-8.6; 95%CI:-9.7, -7.6) to a greater extent than FEI (RC=7.1; 95%CI: 6.4, 7.8) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;9</bold>
</xref>). More components of MS were associated with the EAI than the FEI in males with age&#x2265;50 years. Although not statistically significant, the EAI was associated with increased LDL levels (RC=2.3; 95%CI: -0.3, 4.9). Only FAI was markedly associated with all individual components of MS except for triglyceride in females with age&lt;50 years. However, the FEI was associated with all individual components of MS to a greater extent than EAI or FAI among females with age &#x2265;50 years (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;9</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In our study, the FEI was found to be associated with MS and CRP outcomes to a greater extent than EAI or FAI in males across age groups. In addition, the FEI remained greatly associated with MS and CRP outcomes in females with age&#x2265;50 years. However, the FAI was positively associated with MS and CRP in females with age&lt;50 years. These findings were confirmed in multiple sensitivity analyses including after additionally adjusting for each sex hormone concentration. These findings suggest a regular evaluation of sex hormone ratios, particularly FEI in both sexes and FAI in younger women. These evaluations may help physicians to stratify individuals at risk for CVD and develop potential strategies for early management of MS and CRP through maintaining sex hormone ratios.</p>
<p>We observed FEI as the strongest factor associated with MS and high CRP in younger or older men. To the best of our knowledge, there is no study directly evaluating the association between FEI with MS or CRP in young men. In elderly men, only one study reported associations between FEI and MS and inflammatory markers. This study on older Italian men found a strong association between free estradiol and MS supporting our study findings (<xref ref-type="bibr" rid="B36">36</xref>). Our findings that a higher FEI consistently associates with adverse metabolic and inflammatory profiles compared to EAI or FAI in older women have also been supported in emerging studies (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Exogenous E treatment appears to be associated with the increased risk of stroke in postmenopausal women suggesting that reducing free E levels could potentially reduce the risk of MS and inflammation and subsequently CVD events (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B24">24</xref>). As confirmed in multiple studies (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>) and meta-analyses (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B41">41</xref>), SHBG and TT were also inversely associated with MS and high CRP in our study. Although the association between E and MS has been conflicting among men and women (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>), the FEI was positively associated with MS and high CRP even after adjusting for TT, E, and SHBG concentrations indicating the usefulness of FEI in the context of MS and CRP-related diseases.</p>
<p>In addition to FEI, we also observed an inverse association between EAI and MS and high CRP in men. Consistent with our findings, multiple studies reported the protective effects of a high EAI for MS and its components, inflammation, and cardiac events in men (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Contrary to our study findings, a few studies showed that a higher EAI is adversely associated with some metabolic abnormalities (<xref ref-type="bibr" rid="B44">44</xref>) and cerebrovascular disease (<xref ref-type="bibr" rid="B21">21</xref>) in elderly men. These contradictory associations particularly in elderly men may be due to a positive association between a higher TT and LDL cholesterol as observed in our study and other studies (<xref ref-type="bibr" rid="B45">45</xref>). In our healthy women sample, EAI was not consistently associated with MS and CRP outcomes. In contrast, multiple studies reported that a higher EAI is associated with incident MS (<xref ref-type="bibr" rid="B46">46</xref>), cardiometabolic diseases in women with menopause transition (<xref ref-type="bibr" rid="B22">22</xref>), development of CVD in postmenopausal women (<xref ref-type="bibr" rid="B17">17</xref>), and cardiometabolic markers in women with CHD (<xref ref-type="bibr" rid="B15">15</xref>). The role of the EAI in older men and women needs to be further explored after adjusting for SHBG and E levels.</p>
<p>In younger women, FAI was found to be the most critical factor for MS and CRP in our study. Hyperandrogenic profile as measured with FAI has been observed as a typical feature of MS in premenopausal women (<xref ref-type="bibr" rid="B26">26</xref>). A recent study further attested a link between androgenicity and the risk of developing MS before menopause using a Coronary Artery Risk Development in Young Adults (CARDIA) study (<xref ref-type="bibr" rid="B47">47</xref>). In addition to the FEI, we also observed a higher FAI associated with MS and CRP in women with age &#x2265;50 years. Several studies confirmed our findings related to FAI for most metabolic and inflammatory markers in postmenopausal women (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Rexrode et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>) reported a direct comparison of all combinations of sex hormones with CVD events among postmenopausal women without hormonal therapy and demonstrated that higher FAI levels are associated with CVD events. Moreover, Phillips et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>) showed that elevated free testosterone but not SHBG or E is associated with an increased degree of coronary artery disease. These findings confirm the potential utility of the FAI for atherosclerotic CVD risk stratification in women. In our study, the direction of associations of sex hormone ratios with MS and high CRP was generally consistent except in women of ages &lt;50 years. A high FEI was positively associated with MS while inversely associated with high CRP in younger females. In addition, a high FAI was only associated with MS but not with high CRP in younger males while a high EAI was only associated with high CRP but not with MS in younger females. Chen et&#xa0;al. (<xref ref-type="bibr" rid="B31">31</xref>) demonstrated that CRP and MS differently predict carotid atherosclerosis in men and women. They reported CRP levels are associated with extracranial carotid artery plaques in men while MS is associated with common carotid artery intima-media thickness in women. These findings explain the potential sex hormones and sex differences related to MS and CRP-induced diseases as discussed in several studies (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>Although it is unclear how a higher FEI can influence MS and CRP in men and postmenopausal women, a higher FEI above a threshold likely induces hypoandrogenemia in males and hyperandrogenism in postmenopausal females, which is associated with insulin resistance and obesity leading to MS and systematic inflammation (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Since E is primarily produced through the aromatization of TT to E in males, higher free E levels can be detrimental to cardiometabolic outcomes in aging or TT-deficient men. Owing to numerous factors, especially inflammation, insulin resistance, and obesity, the level of biologically active E (FEI) is affected in menopausal women and excess FEI can affect cardiometabolic health as confirmed in several studies (<xref ref-type="bibr" rid="B52">52</xref>). TT and E both are involved in oxidative phosphorylation in the mitochondria affecting adenosine triphosphate production leading to mitochondrial dysfunction, MS, and inflammation (<xref ref-type="bibr" rid="B53">53</xref>). Moreover, deficiency in the functions of androgen receptors and estrogen receptors has the potential to affect metabolic health. Our study also identified SHBG as a consistent marker inversely associated with MS and CRP in both sexes across age groups. In addition to FAI, lower SHBG concentrations emerged to be a robust marker for MS and CRP in our study of younger females. Since SHBG is associated with reduced E to TT ratio levels in older men (<xref ref-type="bibr" rid="B54">54</xref>) and TT in postmenopausal women (<xref ref-type="bibr" rid="B55">55</xref>), lower SHBG can influence free TT and E levels affecting cardiometabolic health in both sexes. Multiple studies confirm that SHBG has a direct effect on metabolic health and diabetes through SHBG polymorphisms and apolipoprotein B (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). Recent studies discovered SHBG in the human heart produced by cardiomyocytes in dilated cardiomyopathy patients, indicating that SHBG transports sex steroids into the heart and may have a direct effect on heart condition (<xref ref-type="bibr" rid="B58">58</xref>). Lifestyle, dietary changes, and treatments can be used to enhance SHBG expressions and functions (<xref ref-type="bibr" rid="B59">59</xref>). In older subjects, estrogen blockers may be used to reduce biologically active E levels. Furthermore, prevention strategies such as minimizing environmental exposures and enhancing immunity may be universally adopted across all populations (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>).</p>
<sec id="s4_1">
<title>Strengths and limitations</title>
<p>To the best of our knowledge, this study for the first time demonstrated the potential association between FEI, MS, and CRP in males and females by age group. Unlike our study, most studies did not report a direct comparison of all sex hormone ratios in adjusted analysis or by age group. Our stringent exclusion criteria and comprehensive and sensitivity analyses attest to the reliability of our findings obtained in this study. Our study is the most comprehensive US population-based study reporting the role of different sex hormone ratios with MS, its components, and inflammatory markers separately for males and females for different age groups. Along with these strengths, our study had some limitations. Owing to cross-sectional analysis, a causal link between sex hormones and MS and inflammatory markers cannot be established with our study. Because of different timing of measurement of sex hormones, a single assessment may not be an appropriate reflection of overall exposure. Although we accounted for all available confounders in this study, some additional unmeasured covariates and hormones may affect the associations in our study. We were unable to directly compute free testosterone or estradiol levels rather indirectly estimated by combining sex hormones with SHBG.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>In our study, increases in FEI appeared to be strongly associated with metabolic and inflammatory markers in males across age groups. In addition, FEI was also markedly associated with a high prevalence of MS and high CRP in females of age&#x2265; 50 years. In younger females, a higher FAI was associated with metabolic and inflammatory markers. In addition, lower SHBG concentrations were also associated with MS and high CRP in both sexes across age groups. These findings confirm the potential role of sex hormone ratios in metabolic and inflammation processes in both sexes. A regular evaluation of sex hormone ratios specific to sex is critical across age groups for CVD risk stratification and early prevention. A longitudinal study is required to validate the findings obtained in our study.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: <uri xlink:href="https://www.cdc.gov/nchs/nhanes/index.htm">https://www.cdc.gov/nchs/nhanes/index.htm</uri>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies involving humans because the study dataset is a publicly available database without PHI. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements because This is a publicly available database (NHANES) without PHI. The NHANES collects data after obtaining approval from the National Center for Health Statistics Research Ethics Review Board, Centers for Disease Control and Prevention, and receiving written consent from the participants.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>PD: Conceptualization, Data curation, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Resources. VS: Data curation, Visualization, Writing &#x2013; review &amp; editing, Formal analysis, Methodology, Software. NV: Data curation, Visualization, Writing &#x2013; review &amp; editing, Project administration, Resources. MT: Data curation, Project administration, Resources, Visualization, Writing &#x2013; review &amp; editing. SR: Resources, Visualization, Writing &#x2013; review &amp; editing, Conceptualization, Supervision, Validation. RL: Conceptualization, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. AD: Conceptualization, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing, Data curation, Investigation, Methodology, Project administration, Writing &#x2013; original draft.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We acknowledge the efforts of researchers, the CDC, and participants involved in the NHANES study and data collection. We also appreciate the input of our biostatistics and epidemiology team in this study.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2024.1384603/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2024.1384603/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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