Advanced glycation end products and their circulating receptors predict cardiovascular disease mortality in older community-dwelling women.

晚期糖基化终产物及其循环受体可预测老年社区居住女性的心血管疾病死亡率

阅读:12
作者:Semba Richard D, Ferrucci Luigi, Sun Kai, Beck Justine, Dalal Mansi, Varadhan Ravi, Walston Jeremy, Guralnik Jack M, Fried Linda P
AIMS: To characterize the relationship between advanced glycation end products (AGEs) and circulating receptors for AGEs (RAGE) with cardiovascular disease mortality. METHODS: The relationships between serum AGEs, total RAGE (sRAGE), and endogenous secretory RAGE (esRAGE), and mortality were characterized in 559 community-dwelling women, double dagger 65 years, in Baltimore, Maryland. RESULTS: During 4.5 years of follow-up, 123 (22%) women died, of whom 54 died with cardiovascular disease. The measure of serum AGEs was carboxymethyl-lysine (CML), a dominant AGE. Serum CML predicted cardiovascular disease mortality (Hazards Ratio [HR] for highest vs lower three quartiles, 1.94, 95% Confidence Interval [CI] 1.08-3.48, p=0.026), after adjusting for age, race, body mass index, and renal insufficiency. Serum sRAGE (ng/mL) and esRAGE (ng/mL) predicted cardiovascular disease mortality (HR per 1 Standard Deviation [SD] 1.27, 95% CI 0.98-1.65, p=0.07; HR 1.28, 95% CI 1.02-1.63, p=0.03), after adjusting for the same covariates. Among non-diabetic women, serum CML, sRAGE, and esRAGE, respectively, predicted cardiovascular disease mortality (HR for highest vs lower three quartiles, 2.29, 95% CI 1.21-4.34, p=0.01; HR per 1 SD, 1.24, 95% CI 0.92-1.65, p=0.16; HR per 1 SD 1.45, 95% CI 1.08-1.93, p=0.01), after adjusting for the same covariates. CONCLUSIONS: High circulating AGEs and RAGE predict cardiovascular disease mortality among older community-dwelling women. AGEs are a potential target for interventions, as serum AGEs can be lowered by change in dietary pattern and pharmacological treatment.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。