Exploring the associations of plasma proteins with frailty based on Mendelian randomization.

IF 2.9 4区 医学 Q3 IMMUNOLOGY BMC Immunology Pub Date : 2024-12-23 DOI:10.1186/s12865-024-00677-1
Shuhui Chen, Hao Lin, Bin Liu, Hejing Pan, Yaling Xu, Yingying Mao, Lin Huang
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Abstract

Background: Frailty is an emerging global burden of disease, characterized as an age-related clinical syndrome. Recent studies have suggested a potential link of circulating protein levels with the onset of frailty. This study aims to analyze the potential causal relationships of plasma proteins with frailty using a Mendelian Randomization (MR) study design.

Methods: Associations of plasma proteins with frailty were assessed using inverse variance weighted (IVW), MR-Egger regression, weighted median, maximum-likelihood method, and MR-PRESSO test. Protein-protein interaction network construction and gene ontology functional enrichment analysis were conducted based on MR-identified target proteins.

Results: After false discovery rate (FDR) correction, MR analysis identified five plasma proteins, including BIRC2 [OR = 0.978, 95%CI (0.967-0.990)] and PSME1 [OR = 0.936, 95%CI (0.909-0.965)], as protective factors against frailty, and 49 proteins, including APOB [OR = 1.053, 95%CI (1.037-1.069)] and CYP3A4 [OR = 1.098, 95%CI (1.068-1.128)], as risk factors. Network analysis suggested BIRC2, PSME1, APOE, and CTNNB1 as key intervention targets.

Conclusion: This study employed MR design to investigate the association of circulating plasma proteins with frailty, identified five proteins negatively associated with frailty risk and 49 proteins positively associated with frailty.

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基于孟德尔随机化的血浆蛋白与脆弱性的相关性研究。
背景:虚弱是一种新兴的全球疾病负担,其特征是一种与年龄相关的临床综合征。最近的研究表明,循环蛋白水平与虚弱的发生有潜在的联系。本研究旨在利用孟德尔随机化(MR)研究设计分析血浆蛋白与脆弱之间的潜在因果关系。方法:采用反方差加权(IVW)、MR-Egger回归、加权中位数、最大似然法和MR-PRESSO检验评估血浆蛋白与脆性的相关性。基于核磁共振鉴定的靶蛋白进行蛋白-蛋白互作网络构建和基因本体功能富集分析。结果:经错误发现率(FDR)校正后,MR分析鉴定出5种血浆蛋白BIRC2 [OR = 0.978, 95%CI(0.967 ~ 0.990)]和PSME1 [OR = 0.936, 95%CI(0.909 ~ 0.965)]为衰弱保护因子,49种血浆蛋白APOB [OR = 1.053, 95%CI(1.037 ~ 1.069)]和CYP3A4 [OR = 1.098, 95%CI(1.068 ~ 1.128)]为衰弱危险因子。网络分析提示BIRC2、PSME1、APOE、CTNNB1是关键干预靶点。结论:本研究采用MR设计研究循环血浆蛋白与衰弱的关系,鉴定出5种蛋白与衰弱风险负相关,49种蛋白与衰弱风险正相关。
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来源期刊
BMC Immunology
BMC Immunology 医学-免疫学
CiteScore
5.50
自引率
0.00%
发文量
54
审稿时长
1 months
期刊介绍: BMC Immunology is an open access journal publishing original peer-reviewed research articles in molecular, cellular, tissue-level, organismal, functional, and developmental aspects of the immune system as well as clinical studies and animal models of human diseases.
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