Differential white blood cell count and epigenetic clocks: a bidirectional Mendelian randomization study

被引:1
作者
Sun, Manli [1 ]
Yang, Huan [1 ]
Hu, Yang [2 ]
Fan, Jiaqi [3 ]
Duan, Mingjing [1 ]
Ruan, Jingqi [1 ]
Li, Shichang [1 ]
Xu, Yang [1 ]
Han, Yue [4 ]
机构
[1] Second Hosp Heilongjiang Prov, Drug Clin Trail Ctr, 209 Jiangdu St, Harbin, Peoples R China
[2] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin, Peoples R China
[3] Harbin Med Univ, Coll Publ Hlth, Harbin, Peoples R China
[4] Second Hosp Heilongjiang Prov, 209 Jiangdu St, Harbin, Peoples R China
关键词
Mendelian randomization (MR); White blood cell; Lymphocyte cell; Neutrophil cell; Aging; Epigenetic age acceleration; LYMPHOCYTE SUBSETS; IMMUNE-SYSTEM; CD4(+); INNATE; MEMORY; BIAS; AGE;
D O I
10.1186/s13148-024-01717-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundHuman aging and white blood cell (WBC) count are complex traits influenced by multiple genetic factors. Predictors of chronological age have been developed using epigenetic clocks. However, the bidirectional causal effects between epigenetic clocks and WBC count have not been fully examined. MethodsThis study employed Mendelian randomization (MR) to analyze summary statistics from four epigenetic clocks involving 34,710 participants, alongside data from the Blood Cell Consortium encompassing 563,946 individuals. We primarily explored bidirectional causal relationships using the random-effects inverse-variance weighted method, supplemented by additional MR methods for comprehensive analysis. Additionally, multivariate MR was applied to investigate independent effects of WBC count on epigenetic age acceleration. ResultsIn the two-sample univariate MR (UVMR) analysis, we observed that a decrease in lymphocyte count markedly accelerated aging according to the PhenoAge, GrimAge, and HannumAge metrics (all P < 0.01, beta < 0), though it did not affect Intrinsic Epigenetic Age Acceleration (IEAA). Conversely, an increase in neutrophil count significantly elevated PhenoAge levels (beta: 0.38; 95% CI 0.14, 0.61; P = 1.65E-03 < 0.01). Reverse MR revealed no significant causal impacts of epigenetic clocks on overall WBC counts. Furthermore, in multivariate MR, the impact of lymphocyte counts on epigenetic aging metrics remained statistically significant. We also identified a marked causal association between neutrophil counts and PhenoAge, GrimAge, and HannumAge, with respective results showing strong associations (PhenoAge beta: 0.78; 95% CI 0.47, 1.09; P = 8.26E-07; GrimAge beta: 0.55; 95% CI 0.31, 0.79; P = 5.50E-06; HannumAge beta: 0.42; 95% CI 0.18, 0.67; P = 6.30E-04). Likewise, eosinophil cell count demonstrated significant association with HannumAge (beta: 0.33; 95% CI 0.13, 0.53; P = 1.43E-03 < 0.01). ConclusionThese findings demonstrated that within WBCs, lymphocyte and neutrophil counts exert irreversible and independent causal effects on the acceleration of PhenoAge, GrimAge, and HannumAge. Our findings highlight the critical role of WBCs in influencing epigenetic clocks and underscore the importance of considering immune parameters when interpreting epigenetic age.
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页数:8
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