Causal effects of immune cell populations on biological aging: a Mendelian randomization study.

Jingfeng Fu, Wei Wu, Shangren Shen

School of Pharmacy and Medical Technology, Putian University, Putian, 351100, China. [email protected] of Pharmacy and Medical Technology, Putian University, Putian, 351100, China. [email protected]. · pubmed

Paper

Abstract

While immune system involvement in aging is increasingly recognized, causal relationships between specific immune cell populations and biological aging indicators remain unclear. We aimed to identify immune targets influencing aging trajectories to inform future immunomodulatory interventions. We conducted two-sample Mendelian randomization (MR) analysis using immunophenotype GWAS data (3,757 Sardinian participants) and aging phenotype statistics (PhenoAgeAccel: n = 107,460; BioAgeAccel: n = 98,446). Analysis employed IVW methodology with sensitivity analyses including weighted median estimation, MR-Egger regression, MR-PRESSO, and Cochran's Q statistic. Significance was determined using False Discovery Rate (FDR) correction (P

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Research summary

The paper claims to identify causal relationships between specific immune cell populations and biological aging indicators. This research is relevant as it explores the underlying mechanisms of aging and potential immunomodulatory interventions that could influence aging trajectories.

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