The causal relationship between blood cell traits and aging: a Mendelian randomization study
Abstract Background The global population is aging rapidly, raising significant concerns about public health issues. Routine blood tests, which assess blood cell traits, are commonly performed clinical laboratory tests. Understanding the intricate relationship between blood cell traits and aging is...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
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| Series: | BMC Geriatrics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12877-025-06051-z |
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| Summary: | Abstract Background The global population is aging rapidly, raising significant concerns about public health issues. Routine blood tests, which assess blood cell traits, are commonly performed clinical laboratory tests. Understanding the intricate relationship between blood cell traits and aging is vital for identifying individuals at risk of early decline in health. Methods This study employed bidirectional Mendelian randomization (MR) to explore causal links between 36 blood cell traits and aging indicators, including frailty index (FI), telomere length (TL), and epigenetic aging clocks. Univariate MR analysis primarily used inverse variance weighted, MR-Egger, weighted median, and weighted mode methods. Multivariate MR was applied to investigate independent effects of each blood cell trait on aging utilizing multivariable inverse variance-weighted techniques. Furthermore, the mediating effects of nine potential mediators, such as 25-hydroxyvitamin D, C-reactive protein, and cholesterol levels on the causal relationship between blood cell traits and aging were examined by a mediation analysis. Results The study revealed significant causal associations: eosinophil counts were positively associated with FI (odds ratio (OR) = 1.063, p = 1.4e-07). Mean corpuscular volume (MCV) was linked to telomere length (OR = 0.978, p = 0.0001). Lymphocyte counts showed causal connections with epigenetic aging clocks (GrimAge acceleration: OR = 0.614, p = 7.0e-08; Hannum age acceleration: OR = 0.519, p = 5.4e-11; and PhenoAge acceleration: OR = 0.519, p = 5.4e-11). Conclusion This MR study uncovered significant causal relationships between blood cell traits such as eosinophil counts, MCV, and lymphocyte counts, with aging indicators. Monitoring these traits in routine blood tests can provide valuable insights for assessing age-related health risks and promoting healthy aging. |
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| ISSN: | 1471-2318 |