Department of The First Clinical medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Department of Health Science, Shandong University of Traditional Chinese Medicine, Jinan, China.
Arch Gerontol Geriatr. 2024 Aug;123:105412. doi: 10.1016/j.archger.2024.105412. Epub 2024 Mar 21.
Observational studies suggest an association between sarcopenia-related traits and brain aging, but whether this association reflects a causal relationship remains unclear. This study aims to employ Mendelian randomization (MR) methods to investigate the causal impact of sarcopenia-related traits on brain aging.
This study presents a comprehensive analysis of genome-wide association study (GWAS) summary data associated with sarcopenia-related traits. The data were derived from a large-scale cohort, encompassing measures such as grip strength, lean body mass, and walking pace. Measurements of brain aging were obtained from neuroimaging genetics, utilizing meta-analysis (ENIGMA) to combine magnetic resonance imaging (MRI) data from 33,992 participants. The primary methodology employed in this analysis was the inverse-variance-weighted method (IVW). Additionally, sensitivity analyses were conducted, to assess heterogeneity and pleiotropy.
Appendicular lean mass(ALM) is negatively correlated with Pallidum aging; Whole body fat-free mass shows a negative correlation with Amygdala aging; Leg fat-free mass (left) and Leg fat-free mass (right) are negatively correlated with Pallidum aging; Usual walking pace is positively correlated with Nucleus Accumbens aging. Cerebellum WM aging is negatively correlated with Leg fat-free mass (left) and Leg fat-free mass (right); Hippocampus aging is negatively correlated with Hand grip strength (left) and Hand grip strength (right). Ventricles aging is positively correlated with Usual walking pace; Nucleus Accumbens aging is positively correlated with Leg fat-free mass (left) and Leg fat-free mass (right); Putamen aging is positively correlated with ALM.
Our study confirms that reduced muscle mass speeds up brain aging. Walking too fast raises the risk of brain aging, while maintaining or increasing appendicular lean mass, overall muscle mass, and muscle mass in both legs lowers the risk of brain aging.
观察性研究表明,与肌肉减少症相关的特征与大脑衰老之间存在关联,但这种关联是否反映因果关系尚不清楚。本研究旨在采用孟德尔随机化(MR)方法研究与肌肉减少症相关的特征对大脑衰老的因果影响。
本研究对与肌肉减少症相关特征相关的全基因组关联研究(GWAS)汇总数据进行了综合分析。这些数据来自一个大型队列,包括握力、瘦体重和行走速度等指标。大脑衰老的测量值来自神经影像学遗传学,利用磁共振成像(MRI)数据的元分析(ENIGMA)将 33992 名参与者的数据进行了合并。该分析采用的主要方法是逆方差加权法(IVW)。此外,还进行了敏感性分析,以评估异质性和多效性。
四肢瘦质量(ALM)与苍白球老化呈负相关;全身去脂体重与杏仁核老化呈负相关;左腿和右腿去脂肌肉量与苍白球老化呈负相关;通常行走速度与伏隔核老化呈正相关。小脑白质老化与左腿和右腿去脂肌肉量呈负相关;海马体老化与左手握力和右手握力呈负相关。脑室老化与通常行走速度呈正相关;伏隔核老化与左腿和右腿去脂肌肉量呈正相关;壳核老化与 ALM 呈正相关。
本研究证实,肌肉质量减少会加速大脑衰老。行走速度过快会增加大脑衰老的风险,而保持或增加四肢瘦质量、全身肌肉质量和双腿肌肉质量会降低大脑衰老的风险。