营养不良
混淆
表观遗传学
医学
全国健康与营养检查调查
临床营养学
老年学
环境卫生
内科学
生物
人口
遗传学
基因
作者
A.L. Zhou,Qun Ye,Yonghui Wei,Weidong Li
摘要
BACKGROUND: We investigated relationships between nutrition assessment tools (Controlling Nutritional Status [CONUT], Geriatric Nutritional Risk Index [GNRI], and Naples Prognostic Score [NPS]) and epigenetic clocks, evaluating malnutrition's impact on biological aging. METHODS: Using National Health and Nutrition Examination Survey database (1999-2002), 2532 participants aged ≥50 years were assessed with three nutrition tools and analyzed against 12 epigenetic clocks using multiple linear regression models adjusted for confounding factors. RESULTS: Malnutrition prevalence rates were 13.5% (CONUT), 4.2% (GNRI), and 46.8% (NPS). Compared with no-risk groups, moderate-to-severe malnutrition showed significant epigenetic age acceleration, particularly in NPS assessment. GrimAge2Mort demonstrated up to 4.19 years acceleration (in NPS model 3, P < 0.01), DunedinPoAm showed significant increase (in NPS model 3, β = 0.083, P < 0.01), and YangCell significantly decreased (in NPS model 3, β = -0.019, P < 0.01). These associations remained significant after adjusting for confounding factors. A clear dose-response relationship existed between malnutrition and epigenetic age acceleration. CONCLUSION: This study provides first systematic evidence of significant associations between malnutrition and epigenetic age acceleration, particularly in moderate-to-severe malnutrition, leading to substantial biological aging acceleration. GrimAge2Mort, DunedinPoAm, and YangCell emerged as stable indicators for assessing nutrition-related biological aging. These findings provide new insights into malnutrition's impact on aging and offer important references for clinical nutrition intervention strategies.
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