Zhao Jiaxuan, Yang Kun, Lu Yunfei, Zhou Linfeng, Fu Haoran, Feng Jingbo, Wu Jinghua
Department of Clinical Laboratory, North China University of Science and Technology Affiliated Tangshan Maternal and Child Health Care Hospital, Tangshan, China.
Key Laboratory of Molecular Medicine for Abnormal Development and Related Diseases in Tangshan City, Tangshan, China.
Sci Rep. 2024 Sep 16;14(1):21594. doi: 10.1038/s41598-024-72281-7.
Shortening of telomere length (TL) is correlated with many age-related disorders and is a hallmark of biological aging. This study used proteome-wide Mendelian randomization to identify the protein biomarkers associated with telomere length. Protein quantitative trait loci (pQTL) were derived from two studies, the deCODE Health study (4907 plasma proteins) and the UK Biobank Pharma Proteomics Project (2923 plasma proteins). Summary data from genome-wide association studies (GWAS) for TL were obtained from the UK Biobank (472,174 cases) and GWAS Catalog (418,401 cases). The association between proteins and TL was further assessed using colocalization and summary data-based Mendelian randomization (SMR) analyses. The protein-protein network, druggability assessment, and phenome-wide MR were used to further evaluate the potential biological effects, druggability, and safety of the target proteins. Proteome-wide MR analysis identified 22 plasma proteins that were causally associated with telomere length. Five of these proteins (APOE, SPRED2, MAX, RALY, and PSMB1) had the highest evidence of association with TL and should be prioritized. This study revealed telomere length-related protein biomarkers, providing new insights into the development of new treatment targets for chronic diseases and anti-aging intervention strategies.
端粒长度(TL)缩短与许多年龄相关疾病相关,是生物衰老的一个标志。本研究使用全蛋白质组孟德尔随机化来识别与端粒长度相关的蛋白质生物标志物。蛋白质定量性状位点(pQTL)来自两项研究,即deCODE健康研究(4907种血浆蛋白)和英国生物银行药物蛋白质组学项目(2923种血浆蛋白)。端粒长度全基因组关联研究(GWAS)的汇总数据来自英国生物银行(472,174例)和GWAS目录(418,401例)。使用共定位和基于汇总数据的孟德尔随机化(SMR)分析进一步评估蛋白质与端粒长度之间的关联。蛋白质-蛋白质网络、成药可能性评估和全表型孟德尔随机化用于进一步评估目标蛋白质的潜在生物学效应、成药可能性和安全性。全蛋白质组孟德尔随机化分析确定了22种与端粒长度有因果关系的血浆蛋白。其中五种蛋白质(载脂蛋白E、Sprouty相关蛋白2、Myc相关因子X、RALY和蛋白酶体β型亚基1)与端粒长度的关联证据最强,应优先考虑。本研究揭示了与端粒长度相关的蛋白质生物标志物,为慢性疾病新治疗靶点的开发和抗衰老干预策略提供了新的见解。