The impact of serum uric acid on biological aging and mortality risk: insights from the NHANES and CHARLS cohorts

尿酸 纵向研究 医学 内科学 全国健康与营养检查调查 高尿酸血症 老年学 环境卫生 重症监护医学 人口 病理
作者
Cong Zhao,Ling Zhao,Yang Liu,Lidan Sun,Xinrong Li,Yaoxian Wang,Weiwei Sun
出处
期刊:Frontiers in Nutrition [Frontiers Media]
卷期号:12: 1569798-1569798 被引量:1
标识
DOI:10.3389/fnut.2025.1569798
摘要

Background Serum uric acid (SUA), a byproduct of purine metabolism, exerts both antioxidant and pro-inflammatory effects, making its role in aging and chronic diseases a subject of ongoing debate. Despite this, the mechanisms by which SUA influences the aging process remain poorly understood. Methods We analyzed data from the NHANES (1999–2010) and CHARLS (2011–2015) cohorts to investigate SUA’s impact on biological aging. Generalized linear regression models assessed SUA’s effect on biological aging markers [ΔKDM-BA, ΔPhenoAge, and allostatic load (AL)], while Cox regression models estimated its association with all-cause and premature mortality. Dose–response relationships between SUA levels and aging markers (ΔKDM-BA, ΔPhenoAge, and AL), as well as all-cause and premature mortality, were evaluated using restricted cubic splines (RCS). Results In both cohorts, elevated SUA levels were significantly associated with accelerated aging. In the NHANES cohort, for each 1 mg/dL increase in SUA, ΔKDM-BA increased by 0.52 years (95% CI: 0.43–0.61, p < 0.0001), and AL increased by 0.38 (95% CI: 0.29–0.47, p < 0.0001). In the CHARLS cohort, SUA was similarly linked to an increase in ΔKDM-BA by 0.65 years (95% CI: 0.57–0.74, p < 0.0001) and AL by 0.15 (95% CI: 0.12–0.18, p < 0.0001). RCS analysis revealed a nonlinear association between SUA and ΔKDM-BA in NHANES, with a more pronounced acceleration of aging when SUA levels exceeded 4.16 mg/dL (nonlinear p < 0.0001). In CHARLS, SUA showed a nonlinear relationship with ΔKDM-BA (nonlinear p = 0.01). Additionally, in NHANES, SUA levels were associated with increased all-cause (HR: 1.04, 95% CI: 1.01–1.07, p = 0.01) and premature mortality (HR: 1.06, 95% CI: 1.00–1.13, p = 0.046). RCS analysis further demonstrated a U-shaped nonlinear relationship between SUA levels and both all-cause and premature mortality. In contrast, SUA did not show a significant association with mortality outcomes in the CHARLS cohort. Conclusion Elevated SUA is associated with accelerated biological aging in both U.S. and Chinese populations, but its link to mortality was evident only in the NHANES cohort. These findings highlight SUA as a potential aging marker and call for further population-specific investigation.
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