Bao Shifu, Jimu Weibu, Mu Nai, Yan Fang, Xing Shuxing, Li Tao, Zhou Zheng
Department of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Department of Orthopedics, Chengdu Fifth People's Hospital, Chengdu, China.
Front Nutr. 2025 Jan 6;11:1503702. doi: 10.3389/fnut.2024.1503702. eCollection 2024.
Muscle mass plays a pivotal role in health maintenance, yet its connection to biological aging remains underexplored. This study investigates the association between appendicular skeletal muscle mass index (ASMI) and phenotypic age(PhenoAge), while examining the mediating role of systemic inflammation.
The analysis included 7,440 participants from the NHANES 2011-2018. Phenotypic Age Acceleration (PhenoAgeAccel) was calculated as the residuals from regressing PhenoAge on chronological age. Multivariable linear regression analyses were performed to assess the association between ASMI and PhenoAgeAccel. Mediation analysis was conducted to quantify the extent to which systemic inflammation contributes to this association.
Our analysis revealed that higher ASMI is linked to slower biological aging, as evidenced by lower PhenoAgeAccel ( = -0.48, 95% CI: -0.66 to -0.29, = 0.0001). Systemic inflammation partially mediated this effect, with a mediation proportion of 35.1%. The association varied notably across demographic and health-related subgroups, being particularly significant in females, individuals with obesity, and those with lower physical activity.
These findings highlight the critical importance of muscle mass in slowing biological aging, with systemic inflammation emerging as a key biological mediator. The public health implications are substantial, suggesting that targeted interventions-such as resistance training, anti-inflammatory diets, and personalized medical approaches-could play a pivotal role in decelerating biological aging and improving long-term health outcomes.
肌肉量在维持健康方面起着关键作用,但其与生物衰老的联系仍未得到充分探索。本研究调查了四肢骨骼肌质量指数(ASMI)与表型年龄(PhenoAge)之间的关联,同时检验全身炎症的中介作用。
分析纳入了2011 - 2018年美国国家健康与营养检查调查(NHANES)的7440名参与者。表型年龄加速(PhenoAgeAccel)通过将表型年龄对实足年龄进行回归后的残差计算得出。进行多变量线性回归分析以评估ASMI与PhenoAgeAccel之间的关联。进行中介分析以量化全身炎症对这种关联的贡献程度。
我们的分析表明,较高的ASMI与较慢的生物衰老相关,较低的PhenoAgeAccel证明了这一点(β = -0.48,95%置信区间:-0.66至-0.29,P = 0.0001)。全身炎症部分介导了这种效应,中介比例为35.1%。这种关联在不同人口统计学和健康相关亚组中差异显著,在女性、肥胖个体和身体活动较少的个体中尤为明显。
这些发现突出了肌肉量在减缓生物衰老中的关键重要性,全身炎症成为关键的生物中介。对公共卫生具有重要意义,表明针对性干预措施,如抗阻训练、抗炎饮食和个性化医疗方法,可能在减缓生物衰老和改善长期健康结果方面发挥关键作用。