4.8 Article

Sex hormone-binding globulin and the free androgen index are related to cardiovascular risk factors in multiethnic premenopausal and perimenopausal women enrolled in the study of women across the nation (SWAN)

期刊

CIRCULATION
卷 111, 期 10, 页码 1242-1249

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/01.CIR.0000157697.54255.CE

关键词

hormones; aging; sex; menopause; risk factors

资金

  1. NIA NIH HHS [U01 AG012554, U01 AG012495, U01 AG012505, U01 AG012553, U01 AG012546, U01 AG012539, U01 AG012535, U01 AG012531] Funding Source: Medline
  2. NINR NIH HHS [U01 NR04061] Funding Source: Medline

向作者/读者索取更多资源

Background - Recent clinical trials have shifted attention away from estrogens and toward androgens and sex hormone - binding globulin (SHBG) as potential mediators of increasing cardiovascular (CV) risk in women at midlife. Methods and Results - The correlation between reproductive hormones and CV risk factors was evaluated in a multiethnic (white, black, Hispanic, Chinese, and Japanese) sample of 3297 premenopausal and perimenopausal women. Testosterone and estradiol (E-2) were evaluated along with SHBG and the free androgen index (FAI), the amount of testosterone not bound by SHBG. Low SHBG and high FAI were strongly and consistently related to elevated CV risk factors (higher insulin, glucose, and hemostatic and inflammatory markers and adverse lipids) even after controlling for body mass index (P < 0.001 for all). Low levels of E-2 were associated with elevated CV risk factors to a lesser degree. These observations were consistent across the 5 ethnic groups. Compared with whites, blacks had higher levels of SHBG and lower levels of FAI, and Chinese had lower levels of SHBG and higher levels of FAI. Conclusions - Low SHBG and high FAI are strongly associated with CV risk factors in racially diverse women, and thus, androgens likely play a role in the CV risk profile of perimenopausal women.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据