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血浆代谢物与全因死亡率的未来风险之间的关联。

The association between plasma metabolites and future risk of all-cause mortality.

机构信息

Department of Clinical Science, Lund University, Malmö, Sweden.

Department of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.

出版信息

J Intern Med. 2022 Nov;292(5):804-815. doi: 10.1111/joim.13540. Epub 2022 Jul 26.

Abstract

BACKGROUND

Metabolite profiles provide snapshots of the overall effect of numerous exposures accumulated over life courses, which may lead to health outcomes in the future.

OBJECTIVE

We hypothesized that the risk of all-cause mortality is linked to alterations in metabolism earlier in life, which are reflected in plasma metabolite profiles. We aimed to identify plasma metabolites associated with future risk of all-cause mortality.

METHODS

Through metabolomics, 110 metabolites were measured in 3833 individuals from the Malmö Diet and Cancer-Cardiovascular Cohort (MDC-CC). A total of 1574 deaths occurred within an average follow-up time of 22.2 years. Metabolites that were significantly associated with all-cause mortality in MDC-CC were replicated in 1500 individuals from Malmö Preventive Project re-examination (MPP), among whom 715 deaths occurred within an average follow-up time of 11.3 years.

RESULTS

Twenty two metabolites were significantly associated with all-cause mortality in MDC-CC, of which 13 were replicated in MPP. Levels of trigonelline, glutamate, dimethylglycine, C18-1-carnitine, C16-1-carnitine, C14-1-carnitine, and 1-methyladenosine were associated with an increased risk, while levels of valine, tryptophan, lysine, leucine, histidine, and 2-aminoisobutyrate were associated with a decreased risk of all-cause mortality.

CONCLUSION

We used metabolomics in two Swedish prospective cohorts and identified replicable associations between 13 metabolites and future risk of all-cause mortality. Novel associations between five metabolites-C18-1-carnitine, C16-1-carnitine, C14-1-carnitine, trigonelline, and 2-aminoisobutyrate-and all-cause mortality were discovered. These findings suggest potential new biomarkers for the prediction of mortality and provide insights for understanding the biochemical pathways that lead to mortality.

摘要

背景

代谢物谱提供了一生中积累的大量暴露的综合影响的快照,这可能导致未来的健康结果。

目的

我们假设,一生中代谢的早期变化与全因死亡率的风险有关,这些变化反映在血浆代谢物谱中。我们旨在确定与全因死亡率未来风险相关的血浆代谢物。

方法

通过代谢组学,在来自马尔默饮食与癌症-心血管队列(MDC-CC)的 3833 人中测量了 110 种代谢物。在平均 22.2 年的随访期间,共有 1574 人死亡。在马尔默预防项目再检查(MPP)中,在 1500 名个体中复制了与全因死亡率显著相关的代谢物,其中 715 人在平均 11.3 年的随访期间死亡。

结果

在 MDC-CC 中,有 22 种代谢物与全因死亡率显著相关,其中 13 种在 MPP 中得到复制。三磷酸鸟苷、谷氨酸、二甲基甘氨酸、C18-1-肉碱、C16-1-肉碱、C14-1-肉碱和 1-甲基腺苷与全因死亡率增加相关,而缬氨酸、色氨酸、赖氨酸、亮氨酸、组氨酸和 2-氨基异丁酸与全因死亡率降低相关。

结论

我们在两个瑞典前瞻性队列中使用代谢组学方法,确定了 13 种代谢物与全因死亡率未来风险之间可复制的关联。还发现了 5 种代谢物(C18-1-肉碱、C16-1-肉碱、C14-1-肉碱、三磷酸鸟苷和 2-氨基异丁酸)与全因死亡率之间的新关联。这些发现提示了用于预测死亡率的潜在新型生物标志物,并为理解导致死亡率的生化途径提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8b9/9796397/40237b7ae67d/JOIM-292-804-g001.jpg

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