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老年人虚弱特征的肠道微生物特征和循环代谢组学特征。

Gut microbial features and circulating metabolomic signatures of frailty in older adults.

机构信息

State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.

State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.

出版信息

Nat Aging. 2024 Sep;4(9):1249-1262. doi: 10.1038/s43587-024-00678-0. Epub 2024 Jul 25.

Abstract

Frailty, a multidimensional indicator of suboptimal aging, reflects cumulative declines across multiple physiological systems. Although age-related changes have been reported in gut microbiota, their role in healthy aging remains unclear. In this study, we calculated frailty index (FI) from 33 health-related items to reflect the overall health status of 1,821 older adults (62-96 years, 55% female) and conducted multi-omics analysis using gut metagenomic sequencing data and plasma metabolomic data. We identified 18 microbial species and 17 metabolites shifted along with frailty severity, with stronger links observed in females. The associations of nine species, including various Clostridium species and Faecalibacterium prausnitzii, with FI were reproducible in two external populations. Plasma glycerol levels, white blood cell count and kidney function partially mediated these associations. A composite microbial score derived from FI significantly predicted 2-year mortality (adjusted hazard ratio across extreme quartiles, 2.86; 95% confidence interval, 1.38-5.93), highlighting the potential of microbiota-based strategies for risk stratification in older adults.

摘要

衰弱是一种多维度的衰老不佳指标,反映了多个生理系统的累积衰退。尽管肠道微生物群已报道了与年龄相关的变化,但它们在健康衰老中的作用仍不清楚。在这项研究中,我们从 33 个与健康相关的项目中计算了衰弱指数(FI),以反映 1821 名老年人(62-96 岁,55%为女性)的整体健康状况,并使用肠道宏基因组测序数据和血浆代谢组学数据进行了多组学分析。我们确定了 18 种微生物物种和 17 种随衰弱严重程度变化的代谢物,在女性中观察到更强的关联。包括各种梭菌属和普拉梭菌在内的九种物种与 FI 的关联在两个外部人群中具有重现性。血浆甘油水平、白细胞计数和肾功能部分介导了这些关联。源自 FI 的综合微生物评分显著预测了 2 年死亡率(极端四分位数之间的调整后危险比,2.86;95%置信区间,1.38-5.93),突出了基于微生物组的策略在老年人风险分层中的潜力。

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