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2 型糖尿病临床研究中的心血管生物标志物。

Cardiovascular biomarkers in clinical studies of type 2 diabetes.

机构信息

Department of Medicine and Aging Sciences, G. d'Annunzio University, Chieti, Italy.

Aging and Translational Medicine Research Center, CeSI-Met, G. d'Annunzio' University, Chieti, Italy.

出版信息

Diabetes Obes Metab. 2018 Jun;20(6):1350-1360. doi: 10.1111/dom.13247. Epub 2018 Mar 5.

Abstract

When planning cardiovascular (CV) studies in type 2 diabetes (T2D), selection of CV biomarkers is a complex issue. Because the pathophysiology of CV disease (CVD) in T2D is multifactorial, ideally, the selected CV biomarkers should cover all aspects of the known pathophysiology of the disease. This will allow the researcher to distinguish between effects on different aspects of the pathophysiology. To this end, we discuss a host of biomarkers grouped according to their role in the pathogenesis of CVD, namely: (1) cardiac damage biomarkers; (2) inflammatory biomarkers; and (3) novel biomarkers (oxidative stress and endothelial dysfunction biomarkers). Within each category we present the best currently validated biomarkers, with special focus on the population of interest (people with T2D). For each individual biomarker, we discuss the physiological role, validation in the general population and in people with T2D, analytical methodology, modifying factors, effects of glucose-lowering drugs, and interpretation. This approach will provide clinical researchers with the information necessary for planning, conducting and interpreting results from clinical trials. Furthermore, a systematic approach to selection of CV biomarkers in T2D research will improve the quality of future research.

摘要

在规划 2 型糖尿病(T2D)的心血管(CV)研究时,CV 生物标志物的选择是一个复杂的问题。由于 T2D 中 CV 疾病(CVD)的病理生理学是多因素的,理想情况下,所选的 CV 生物标志物应涵盖该疾病已知病理生理学的所有方面。这将使研究人员能够区分对病理生理学不同方面的影响。为此,我们根据它们在 CVD 发病机制中的作用,讨论了许多分组的生物标志物,即:(1)心脏损伤生物标志物;(2)炎症生物标志物;和(3)新型生物标志物(氧化应激和内皮功能障碍生物标志物)。在每个类别中,我们介绍了目前经过最佳验证的生物标志物,并特别关注目标人群(T2D 患者)。对于每个单独的生物标志物,我们讨论了其生理作用、在一般人群和 T2D 患者中的验证、分析方法、修饰因素、降糖药物的影响以及解释。这种方法将为临床研究人员提供规划、进行和解释临床试验结果所需的信息。此外,对 T2D 研究中 CV 生物标志物的系统选择将提高未来研究的质量。

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