Relation of serum levels of sex hormone binding globulin to coronary heart disease in postmenopausal women
Abstract
Hyperandrogenemia and low levels of sex hormone binding globulin (SHBG) are frequently found in women with metabolic syndrome, which is characterized by low high-density lipoprotein cholesterol, hypertriglyceridemia, obesity, and hyperinsulinemia. The specific contribution of these various factors to coronary heart disease (CHD) is controversial. The coronary angiograms of 87 consecutive postmenopausal women were evaluated using 2 semiquantitative scoring systems to estimate the extent of focal and diffuse vessel wall alterations. Fasting sera were analyzed for levels of glucose, lipids, insulin, leptin, dehydroepiandrosterone sulfate, testosterone, and SHBG. Obesity was assessed by measuring body mass index, waist-to-hip ratio, skinfold thicknesses, and body impedance. After adjusting for age, there were significant differences in 55 women with CHD compared with 32 women without CHD: higher levels of low-density lipoprotein cholesterol (159 +/- 51 vs 132 +/- 39 mg/dl), apolipoprotein B (121 +/- 33 vs 102 +/- 29 mg/dl), triglycerides (115 vs 91 mg/dl), and basal insulin (7.5 vs 4.6 mU/L), as well as lower levels of high-density lipoprotein cholesterol (59.9 +/- 18.0 vs 69.0 +/- 17.1 mg/dl), SHBG (44.6 vs 68.1 nmol/L) and the quantitative insulin sensitivity check index (0.66 +/- 0.41 vs 0.93 +/- 0.73). Multivariate analysis by logistic regression identified age (odds ratio [OR] 1.22, 95% confidence intervals [CI] 1.09 to 1.37), smoking (OR 11.46, 95% CI 2.56 to 51.39), SHBG (…
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Low SHBG levels contribute to long term consequences of METS; associations between low SHBG and higher risk of coronary and peripheral artery disease have been found, independent of other cardiovascular risk factors.
“Furthermore, low SHBG levels also contribute to long term consequences of METS. Associations between low SHBG and higher risk of coronary and peripheral artery disease have been found, independent of other cardiovascular risk factors [137, 138].”
From Role of sex hormone-binding globulin in the free hormone hypothesis and the relevance of free testosterone in androgen physiology (2022) · cites this paper as [138]
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- Authors
- Reinecke, H., Bogdanski, J., Woltering, A., Breithardt, G. Ü., Assmann, G., Kerber, S., & von Eckardstein, A.
- Affiliations
- University of Münster (DE)
- University Hospital Münster (DE)
- Venue
- The American Journal of Cardiology
- Publisher
- Elsevier BV
- Published
- 2002-08
- Volume
- 90
- Issue
- 4
- Pages
- 364-368
- ISSN
- 0002-9149 (ISSN-L)
- OpenAlex
- W2050941311
- Cited by
- 78
- References
- 31
- Citations by year
- 2026: 2 · 2025: 1 · 2023: 2 · 2022: 2 · 2021: 2 · 2017: 1 · 2016: 1 · 2015: 2 · 2014: 1 · 2013: 5 · 2012: 7
- FWCI
- 2.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hormonal and reproductive studies
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Menopause: Health Impacts and Treatments
- Keywords
- sex hormone-binding globulin, coronary artery disease, postmenopausal women, metabolic syndrome, hyperandrogenemia, apolipoprotein B, dyslipidemia, insulin resistance, obesity, hypertriglyceridemia, low HDL cholesterol, coronary angiography, risk factors, smoking, dehydroepiandrosterone sulfate, testosterone, leptin
- MeSH terms
- Androgens, Apolipoproteins, Blood Glucose, Body Composition, Coronary Artery Disease, Female, Humans, Insulin, Lipids, Cholesterol, HDL, Cholesterol, LDL, Middle Aged, Obesity, Radiography, Regression Analysis, Sex Hormone-Binding Globulin, Triglycerides, Postmenopause
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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