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Instability of personal human metabotype is linked to all-cause mortality

机译:个人人类代谢型的不稳定性与全因死亡率有关

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摘要

Disruption of metabolic homeostasis is an important factor in many diseases. Various metabolites have been linked to higher risk of morbidity and all-cause mortality using metabolomics in large population-based cohorts. In these studies, baseline metabolite levels were compared across subjects to identify associations with health outcomes, implying the existence of ‘healthy’ concentration ranges that are equally applicable to all individuals. Here, we focused on intra-individual changes in metabolite levels over time and their link to mortality, potentially allowing more personalized risk assessment. We analysed targeted metabolomics data for 134 blood metabolites from 1409 participants in the population-based CARLA cohort at baseline and after four years. Metabotypes of the majority of participants (59%) were extremely stable over time indicated by high correlation between the subjects’ metabolite profiles at the two time points. Metabotype instability and, in particular, decrease of valine were associated with higher risk of all-cause mortality in 7.9 years of follow-up (hazard ratio (HR) = 1.5(95%CI = 1.0–2.3) and 0.2(95%CI = 0.1–0.3)) after multifactorial adjustment. Excluding deaths that occurred in the first year after metabolite profiling showed similar results (HR = 1.8(95%CI = 1.1–2.8)). Lower metabotype stability was also associated with incident cardiovascular disease (OR = 1.2(95%CI = 1.0–1.3)). Therefore, changes in the personal metabotype might be a valuable indicator of pre-clinical disease.
机译:代谢稳态的破坏是许多疾病的重要因素。在大型人群中,使用代谢组学方法已经将各种代谢物与较高的​​发病率和全因死亡率联系起来。在这些研究中,比较了受试者之间的基线代谢物水平,以确定与健康结果的相关性,这表明存在“健康”浓度范围,该范围同样适用于所有个体。在这里,我们着眼于个体内部代谢物水平随时间的变化及其与死亡率的联系,从而可能进行更个性化的风险评估。我们分析了基线和四年后基于人群的CARLA队列中来自1409名参与者的134种血液代谢物的目标代谢组学数据。大多数受试者(59%)的代谢型在一段时间内都非常稳定,这表明受试者在两个时间点的代谢产物之间存在高度相关性。在7.9年的随访中,代谢型的不稳定性,尤其是缬氨酸的降低与全因死亡率较高相关(危险比(HR)= 1.5(95%CI = 1.0-2.3)和0.2(95%CI) = 0.1–0.3))。排除代谢物谱分析后第一年的死亡情况,结果相似(HR = 1.8(95%CI = 1.1-2.8))。较低的代谢型稳定性也与心血管疾病的发生有关(OR = 1.2(95%CI = 1.0-1.3))。因此,个人代谢型的改变可能是临床前疾病的重要指标。

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