ArticleBMC geriatrics2025
The causal relationship between blood cell traits and aging: a Mendelian randomization study.
Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Causal relationships between blood metabolites and glioblastoma risk: a large-scale Mendelian randomization study.Discover oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundThe 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.
methodsThis 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.
resultsThe 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).
conclusionThis 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.