Yang Yuhan, Sun Ziyi, Lin Jianguo, Wang Qingqing, Sun Xiaoning, Tong Tong, Zhang Xiaoxiao, Li Cheng, Yao Kuiwu
Beijing University of Chinese Medicine, Beijing, China.
Zhejiang Provincial Hospital of Chinese Medicine, Zhejiang, China.
Aging Clin Exp Res. 2025 Jun 17;37(1):188. doi: 10.1007/s40520-025-03104-6.
BACKGROUND/OBJECTIVES: Diets enriched with live microbes offer multiple health benefits. This study aimed to investigate the relationship between dietary intake of live microbes and accelerated biological age, as well as to examine the mediating role of insulin resistance.
The study included 4,909 participants from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2018. Dietary live microbes intake was assessed using a self-report questionnaire. Insulin resistance was measured using the HOMA-IR and plasma insulin levels. Biological age and accelerated aging were assessed using PhenoAge and PhenoAgeAccel. We performed weighted multiple linear regression, logistic regression, restricted cubic spline (RCS) analysis, mediation analyses, and interaction analyses to explore the relationships between dietary live microbe intake, insulin resistance, and accelerated aging.
Higher intake of live dietary microbes, compared to lower intake, was associated with a slower rate of accelerated aging after full adjustment for confounders (β = 0.15; 95% CI: - 0.26 to - 0.04; P = 0.008). RCS curves indicated an L-shaped dose-response relationship (P-nonlinear = 0.0003). Insulin resistance-related metrics (HOMA-IR and insulin) partially mediated these effects, with mediation proportions ranging from 24.65% to 30.03%. Interaction analyses revealed no significant interaction between dietary live microbe intake and other stratification factors regarding phenotypic age.
The intake of dietary live microbes is nonlinearly associated with accelerated biological age. IR partially mediated the relationship.
背景/目的:富含活微生物的饮食具有多种健康益处。本研究旨在调查活微生物的饮食摄入量与生物年龄加速之间的关系,并检验胰岛素抵抗的中介作用。
该研究纳入了2007年至2018年期间进行的美国国家健康与营养检查调查(NHANES)中的4909名参与者。使用自我报告问卷评估饮食中活微生物的摄入量。使用稳态模型评估胰岛素抵抗(HOMA-IR)和血浆胰岛素水平来测量胰岛素抵抗。使用PhenoAge和PhenoAgeAccel评估生物年龄和加速衰老。我们进行了加权多元线性回归、逻辑回归、受限立方样条(RCS)分析、中介分析和交互分析,以探索饮食中活微生物摄入量、胰岛素抵抗和加速衰老之间的关系。
在对混杂因素进行全面调整后,与较低摄入量相比,较高的饮食活微生物摄入量与加速衰老速度较慢相关(β = 0.15;95% CI:-0.26至-0.04;P = 0.008)。RCS曲线表明存在L形剂量反应关系(P-非线性 = 0.0003)。胰岛素抵抗相关指标(HOMA-IR和胰岛素)部分介导了这些效应,中介比例在24.65%至30.03%之间。交互分析显示,饮食中活微生物摄入量与其他表型年龄分层因素之间无显著交互作用。
饮食中活微生物的摄入量与生物年龄加速呈非线性相关。胰岛素抵抗部分介导了这种关系。