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鉴定多种与少肌症相关表型的共享代谢生物标志物和潜在干预靶点。

Identifying the Shared Metabolite Biomarkers and Potential Intervention Targets for Multiple Sarcopenia-Related Phenotypes.

机构信息

Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao 266071, China.

出版信息

Int J Mol Sci. 2024 Nov 16;25(22):12310. doi: 10.3390/ijms252212310.

Abstract

The relationship between circulating metabolites and sarcopenia-related phenotypes remains unclear. We explored the causality between circulating metabolites and sarcopenia-related phenotypes. Instrumental variables for the human metabolome were derived from the recently published GWAS, which included 690 plasma metabolites. Summary statistics for four sarcopenia phenotypes (whole-body lean mass (WBLM), usual walking pace, appendicular lean mass (ALM), and handgrip strength (HGS)) (both sexes, males and females) were obtained from relevant GWASs. We used MR to evaluate the association between circulating metabolites and sarcopenia-related phenotypes. Colocalization analysis was utilized to determine whether two associated signals were consistent with a shared causal variant rather than the confounding effect of linkage disequilibrium. Subsequently, we explored associations between modifiable risk factors and sarcopenia-related metabolites to explore which metabolites may serve as potential intervention targets through lifestyle modification. Genetically predicted plasma levels of 95 known metabolites were associated with sarcopenia-related phenotypes, and 27 metabolites were supported by robust evidence of colocalization, among which 13 metabolites had a cross-sarcopenia effect. These metabolites primarily included acyl carnitines, amino acids and their derivatives, and phospholipids. Specifically, our analyses supported causal relationships between 23, 6, and 15 metabolites and ALM, HGS, and WBLM, respectively. Seven relevant metabolites might be associated with six modifiable factors. We identified 27 metabolite biomarkers with robust causal evidence for sarcopenia-related phenotypes, highlighting 13 metabolites with a cross-sarcopenia effect, and prioritized several metabolites as the potential interventional targets of lifestyle changes. Our study provided new insight into the etiology and prevention of sarcopenia.

摘要

循环代谢物与与肌肉减少症相关表型之间的关系尚不清楚。我们探索了循环代谢物与与肌肉减少症相关表型之间的因果关系。人类代谢组学的工具变量源自最近发表的 GWAS,其中包括 690 种血浆代谢物。来自相关 GWAS 的四项与肌肉减少症相关表型(全身瘦体重(WBLM)、常规步行速度、四肢瘦体重(ALM)和握力(HGS))(男女,男性和女性)的汇总统计数据。我们使用 MR 来评估循环代谢物与与肌肉减少症相关表型之间的关联。共定位分析用于确定两个相关信号是否与共享因果变异一致,而不是连锁不平衡的混杂效应。随后,我们探索了可改变的风险因素与与肌肉减少症相关的代谢物之间的关联,以探索哪些代谢物可能通过生活方式改变成为潜在的干预靶点。95 种已知代谢物的遗传预测血浆水平与与肌肉减少症相关表型相关,27 种代谢物得到了共定位稳健证据的支持,其中 13 种代谢物具有跨与肌肉减少症相关的作用。这些代谢物主要包括酰基辅酶 A、氨基酸及其衍生物和磷脂。具体而言,我们的分析支持 23、6 和 15 种代谢物与 ALM、HGS 和 WBLM 之间的因果关系。七个相关代谢物可能与六个可改变的因素有关。我们确定了 27 种具有与肌肉减少症相关表型的稳健因果证据的代谢物生物标志物,突出了 13 种具有跨与肌肉减少症相关作用的代谢物,并确定了几种代谢物作为生活方式改变的潜在干预靶点。我们的研究为与肌肉减少症相关表型的病因和预防提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4977/11594328/8de260709bf8/ijms-25-12310-g001.jpg

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