Department of Biostatistics, The University of Michigan, Ann Arbor, MI, USA.
Sci Total Environ. 2013 Mar 15;448:72-8. doi: 10.1016/j.scitotenv.2012.10.087. Epub 2012 Nov 23.
There is a paucity of prospective cohort studies investigating the impact of environmental factors on the development of cardiometabolic (CM) disorders like type II diabetes (T2DM). The objective of the Air-Pollution and Cardiometabolic Diseases (AIRCMD) study is to investigate the impact of personal level air pollution measures [personal black carbon (BC)/sulfate measures] and ambient fine particulate matter [(PM2.5)/NO2] levels on propensity to type II diabetes in Beijing, China. Subjects with metabolic syndrome will undergo four repeated study visits within each season over a one year period following an initial screening visit. At each study visit, subjects will be monitored for sub-acute exposure to personal and ambient measures of air-pollution exposure and will undergo a series of functional CM outcomes. The primary endpoints include independent associations between integrated 5-day mean exposure to PM2.5 and BC and homeostasis model assessment of insulin resistance (HOMA-IR) measures, 24-hour mean diastolic and mean arterial pressure and endothelial-dependent vasodilatation. The secondary endpoints will explore the mechanistic explanation for a causal relationship between exposures and propensity for type II diabetes and will include additional functional outcomes such as arterial compliance, heart rate variability and plasma adipokines. The novel aspects of the study include the launch of infrastructure for future translational investigations in highly polluted urbanized environments and the creation of novel methodologies for linking personalized exposure measurements with functional CM outcomes. We believe that AIRCMD will allow for unprecedented new investigations into the association between environmental risk factors and CM disorders.
前瞻性队列研究对于调查环境因素对心血管代谢(CM)疾病(如 2 型糖尿病(T2DM))发展的影响较少。空气污染与心血管代谢疾病(AIRCMD)研究的目的是调查个人水平的空气污染措施[个人黑碳(BC)/硫酸盐措施]和环境细颗粒物[(PM2.5)/NO2]水平对中国北京 2 型糖尿病发病倾向的影响。代谢综合征患者将在初始筛选访问后的一年时间内,每个季节进行四次重复研究访问。在每次研究访问中,将监测受试者亚急性暴露于个人和环境的空气污染暴露措施,并进行一系列功能 CM 结果的监测。主要终点包括综合 5 天平均 PM2.5 和 BC 暴露与稳态模型评估胰岛素抵抗(HOMA-IR)指标、24 小时平均舒张压和平均动脉压以及内皮依赖性血管舒张之间的独立关联。次要终点将探索暴露与 2 型糖尿病发病倾向之间因果关系的机制解释,并包括其他功能结果,如动脉顺应性、心率变异性和血浆脂肪因子。该研究的新颖之处在于为在高度污染的城市化环境中进行未来的转化研究奠定了基础,并为将个性化暴露测量与功能 CM 结果联系起来创建了新的方法。我们相信,AIRCMD 将允许对环境风险因素与 CM 疾病之间的关联进行前所未有的新研究。