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Divergent age-associated and metabolism-associated gut microbiome signatures modulate cardiovascular disease risk.

Tiange WangZhun ShiHuahui RenYanan HouJieli LuFangming YangChaojie YeKui WuMing-Ling ChenXue LiuDong LiuLijie KongRuizhi ZhengJie ZhengMian LiYu XuZhiyun ZhaoYuhong ChenHuanming YangJian WangGuang NingJunhua LiHuanzi ZhongYu-Fang BiWei-Qing Wang
Published in: Nature medicine (2024)
Insight into associations between the gut microbiome with metabolism and aging is crucial for tailoring interventions to promote healthy longevity. In a discovery cohort of 10,207 individuals aged 40-93 years, we used 21 metabolic parameters to classify individuals into five clusters, termed metabolic multimorbidity clusters (MCs), that represent different metabolic subphenotypes. Compared to the cluster classified as metabolically healthy (MC1), clusters classified as 'obesity-related mixed' (MC4) and 'hyperglycemia' (MC5) exhibited an increased 11.1-year cardiovascular disease (CVD) risk by 75% (multivariable-adjusted hazard ratio (HR): 1.75, 95% confidence interval (CI): 1.43-2.14) and by 117% (2.17, 1.72-2.74), respectively. These associations were replicated in a second cohort of 9,061 individuals with a 10.0-year follow-up. Based on analysis of 4,491 shotgun fecal metagenomes from the discovery cohort, we found that gut microbial composition was associated with both MCs and age. Next, using 55 age-specific microbial species to capture biological age, we developed a gut microbial age (MA) metric, which was validated in four external cohorts comprising 4,425 metagenomic samples. Among individuals aged 60 years or older, the increased CVD risk associated with MC4 or MC5, as compared to MC1, MC2 or MC3, was exacerbated in individuals with high MA but diminished in individuals with low MA, independent of age, sex and other lifestyle and dietary factors. This pattern, in which younger MA appears to counteract the CVD risk attributable to metabolic dysfunction, implies a modulating role of MA in cardiovascular health for metabolically unhealthy older people.
Keyphrases
  • cardiovascular disease
  • microbial community
  • type diabetes
  • metabolic syndrome
  • physical activity
  • small molecule
  • weight loss
  • signaling pathway
  • insulin resistance
  • high throughput
  • skeletal muscle
  • cardiovascular events