Yu Bing, Heiss Gerardo, Alexander Danny, Grams Morgan E, Boerwinkle Eric
Am J Epidemiol. 2016 Apr 1;183(7):650-6. doi: 10.1093/aje/kwv213. Epub 2016 Mar 7.
Early and accurate identification of people at high risk of premature death may assist in the targeting of preventive therapies in order to improve overall health. To identify novel biomarkers for all-cause mortality, we performed untargeted metabolomics in the Atherosclerosis Risk in Communities (ARIC) Study. We included 1,887 eligible ARIC African Americans, and 671 deaths occurred during a median follow-up period of 22.5 years (1987-2011). Chromatography and mass spectroscopy identified and quantitated 204 serum metabolites, and Cox proportional hazards models were used to analyze the longitudinal associations with all-cause and cardiovascular mortality. Nine metabolites, including cotinine, mannose, glycocholate, pregnendiol disulfate, α-hydroxyisovalerate, N-acetylalanine, andro-steroid monosulfate 2, uridine, and γ-glutamyl-leucine, showed independent associations with all-cause mortality, with an average risk change of 18% per standard-deviation increase in metabolite level (P < 1.23 × 10(-4)). A metabolite risk score, created on the basis of the weighted levels of the identified metabolites, improved the predictive ability of all-cause mortality over traditional risk factors (bias-corrected Harrell's C statistic 0.752 vs. 0.730). Mannose and glycocholate were associated with cardiovascular mortality (P < 1.23 × 10(-4)), but predictive ability was not improved beyond the traditional risk factors. This metabolomic analysis revealed potential novel biomarkers for all-cause mortality beyond the traditional risk factors.
尽早准确识别过早死亡高风险人群,可能有助于针对性地采取预防治疗措施,以改善整体健康状况。为了识别全因死亡率的新型生物标志物,我们在社区动脉粥样硬化风险(ARIC)研究中进行了非靶向代谢组学研究。我们纳入了1887名符合条件的ARIC非裔美国人,在中位随访期22.5年(1987 - 2011年)期间有671人死亡。通过色谱和质谱法鉴定并定量了204种血清代谢物,并使用Cox比例风险模型分析与全因死亡率和心血管死亡率的纵向关联。九种代谢物,包括可替宁、甘露糖、甘氨胆酸盐、孕二醇二硫酸盐、α-羟基异戊酸、N-乙酰丙氨酸、雄甾酮单硫酸盐2、尿苷和γ-谷氨酰亮氨酸,显示出与全因死亡率的独立关联,代谢物水平每增加一个标准差,平均风险变化为18%(P < 1.23×10⁻⁴)。基于所鉴定代谢物的加权水平创建的代谢物风险评分,相对于传统风险因素提高了全因死亡率的预测能力(偏差校正的Harrell氏C统计量为0.752对0.730)。甘露糖和甘氨胆酸盐与心血管死亡率相关(P < 1.23×10⁻⁴),但预测能力并未超过传统风险因素。这项代谢组学分析揭示了传统风险因素之外全因死亡率的潜在新型生物标志物。