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分析血细胞在衰老中的因果作用:一项孟德尔随机化研究。

Analyzing the causal role of blood cells in aging: a Mendelian randomization study.

机构信息

The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, 510900, China.

出版信息

Biogerontology. 2024 Nov 4;26(1):7. doi: 10.1007/s10522-024-10148-0.

DOI:10.1007/s10522-024-10148-0
PMID:39495328
Abstract

Blood cells are crucial components of the human body, closely linked to the aging process. This study aims to explore the causal relationship between 91 blood cell phenotypes and aging through Mendelian randomization (MR) analysis. Exposure data from genome-wide association studies (GWAS) was extracted from the GWAS of blood cell perturbation phenotypes in 2,600 European individuals. Initial analysis utilized GWAS data related to aging from the GWAS Catalog database GCST90014288, with inverse-variance weighting as the primary method for causal analysis. Sensitivity analyses included Cochran's Q test, MR-Egger intercept test, MR-PRESSO, and leave-one-out analysis. For significant associations, replication and meta-analysis were conducted using independent aging GWAS data from GCST90014300. Initial analysis revealed that environmental peroxide-impacted red blood cells and ciprofloxacin-impacted reticulocytes accelerated aging. Additionally, elevated neutrophil levels were found to accelerate aging, while LiCl-impacted neutrophils reduced aging risk. Replication and meta-analysis showed consistent results: ciprofloxacin-impacted reticulocytes and elevated neutrophil levels increased the risk of aging, while LiCl-impacted neutrophils reduced the risk. RBCs showed no significant impact on aging progression. Sensitivity analyses confirmed the robustness and reliability of these positive findings. Our study provides evidence of a causal relationship between three blood cell disturbance phenotypes and human aging.

摘要

血细胞是人体的重要组成部分,与衰老过程密切相关。本研究旨在通过孟德尔随机化(MR)分析探讨 91 种血细胞表型与衰老之间的因果关系。从 2600 名欧洲个体的血细胞扰动表型全基因组关联研究(GWAS)中提取了暴露数据。初步分析利用了 GWAS Catalog 数据库 GCST90014288 中与衰老相关的 GWAS 数据,以逆方差加权作为因果分析的主要方法。敏感性分析包括 Cochran's Q 检验、MR-Egger 截距检验、MR-PRESSO 和逐一剔除分析。对于显著关联,使用来自 GCST90014300 的独立衰老 GWAS 数据进行复制和荟萃分析。初步分析表明,环境过氧化氢影响的红细胞和环丙沙星影响的网织红细胞加速了衰老。此外,发现中性粒细胞水平升高会加速衰老,而氯化锂影响的中性粒细胞则降低了衰老风险。复制和荟萃分析显示出一致的结果:环丙沙星影响的网织红细胞和中性粒细胞水平升高增加了衰老的风险,而氯化锂影响的中性粒细胞降低了风险。RBC 对衰老进程没有显著影响。敏感性分析证实了这些阳性发现的稳健性和可靠性。本研究提供了三种血细胞干扰表型与人类衰老之间存在因果关系的证据。

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