Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Nat Med. 2024 Jun;30(6):1722-1731. doi: 10.1038/s41591-024-03038-y. Epub 2024 Jun 6.
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.
深入了解肠道微生物群与代谢和衰老之间的关联对于制定干预措施以促进健康长寿至关重要。在一个由 10207 名年龄在 40-93 岁的个体组成的发现队列中,我们使用 21 种代谢参数将个体分为五个簇,称为代谢多疾病簇 (MC),代表不同的代谢亚表型。与被归类为代谢健康的簇 (MC1) 相比,被归类为“肥胖相关混合” (MC4) 和“高血糖” (MC5) 的簇表现出增加了 75%的心血管疾病 (CVD) 风险 (多变量调整后的危险比 (HR): 1.75,95%置信区间 (CI): 1.43-2.14) 和增加了 117% (2.17,1.72-2.74)。这些关联在另一项由 9061 名随访 10.0 年的个体组成的队列中得到了复制。基于对来自发现队列的 4491 个 shotgun 粪便宏基因组的分析,我们发现肠道微生物组成与 MC 和年龄都有关联。接下来,我们使用 55 种年龄特异性微生物物种来捕获生物年龄,开发了一种肠道微生物年龄 (MA) 指标,并在包括 4425 个宏基因组样本的四个外部队列中进行了验证。在年龄在 60 岁或以上的个体中,与 MC1、MC2 或 MC3 相比,MC4 或 MC5 与 CVD 风险增加相关的情况在 MA 较高的个体中更为严重,但在 MA 较低的个体中则减轻,独立于年龄、性别和其他生活方式和饮食因素。这种模式表明,年轻的 MA 似乎可以抵消代谢功能障碍导致的 CVD 风险,这意味着 MA 在代谢不健康的老年人的心血管健康中具有调节作用。