Musaad Salma, Haynes Erin N
Division of Epidemiology and Biostatistics, Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Epidemiol Rev. 2007;29:98-114. doi: 10.1093/epirev/mxm005. Epub 2007 May 10.
Obesity is a major risk factor for cardiovascular diseases, but the mechanisms for increased cardiovascular risk in obesity are still unclear. Inflammation and increased oxidative stress are two potential mechanisms proposed to play a major role in the morbidity associated with obesity. Studies that investigate these mechanisms rely on biomarkers, but validated biomarkers for obesity-related cardiovascular outcomes are lacking. By finding optimal biomarkers, diagnostic criteria for cardiovascular diseases can be refined in the obese beyond "traditional" risk factors to identify early pathologic processes. The objective of this review is to identify potential early biomarkers resulting from obesity and associated with cardiovascular disease. Studies were initially identified through the search engine PubMed by using the keywords "obesity" and "biomarker." Subsequently, combinations of the keywords "obesity," "biomarker," "cardiovascular risk," "adipose tissue," "adipokine," "adipocytokine," and "oxidative stress" were used. The SOURCE database and Online Mendelian Inheritance in Man (OMIM) were used to obtain more information on the biomarkers. Results of the searches yielded a large number of potential biomarkers that occur in obesity and which either correlate with traditional cardiovascular risk factors or predict subsequent cardiovascular events. Several biomarkers are promising regarding their biologic properties, but they require further validation in humans.
肥胖是心血管疾病的主要危险因素,但肥胖增加心血管疾病风险的机制仍不清楚。炎症和氧化应激增加是被认为在肥胖相关发病机制中起主要作用的两个潜在机制。研究这些机制依赖于生物标志物,但缺乏针对肥胖相关心血管结局的经过验证的生物标志物。通过找到最佳生物标志物,可以在肥胖人群中完善心血管疾病的诊断标准,超越“传统”危险因素,以识别早期病理过程。本综述的目的是识别由肥胖导致的、与心血管疾病相关的潜在早期生物标志物。最初通过使用关键词“肥胖”和“生物标志物”在搜索引擎PubMed中检索相关研究。随后,使用了“肥胖”、“生物标志物”、“心血管风险”、“脂肪组织”、“脂肪因子”、“脂肪细胞因子”和“氧化应激”等关键词的组合。利用SOURCE数据库和《人类孟德尔遗传》(OMIM)获取有关生物标志物的更多信息。检索结果产生了大量在肥胖中出现的潜在生物标志物,它们要么与传统心血管危险因素相关,要么预测随后的心血管事件。几种生物标志物在生物学特性方面很有前景,但它们需要在人体中进一步验证。