Evidence map›Paper›PMID 38459464›Full record

ArticleBMC immunology2024

Causal relationship between immune cells and telomere length: mendelian randomization analysis.

Yujian Li, Shenglin Lai, Xuan Kan

Abstract read
In one paragraph

Article in BMC immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yujian LiDepartment of Pediatrics, General Hospital of Tianjin Medical University, No.154, Anshan Road, Heping District, Tianjin, 300052, China.
Shenglin LaiDepartment of Pediatrics, General Hospital of Tianjin Medical University, No.154, Anshan Road, Heping District, Tianjin, 300052, China.
Xuan KanDepartment of Pediatrics, General Hospital of Tianjin Medical University, No.154, Anshan Road, Heping District, Tianjin, 300052, China. ashelykx@126.com.

Funding

Tianjin Key Medical Discipline (Specialty) Construction Project TJYX2DXK-068CTianjin Medical University General Hospital Clinical Research Program 22ZYYLCCG03
6 · The paper itself

Abstract

backgroundThe causal relationship between immune cells and telomere length remains controversial.

methodsData on the immune cells were obtained from a previous study with 3,757 participants. Data on telomere length were obtained from the OpenGWAS database. Genome-Wide Association Study (GWAS) data were obtained and screened for eligible instrumental variables (IVs) using the TwoSampleMR package and the Phenoscanner database. To investigate the genetic causality between immune cells and telomere length, Mendelian randomization (MR) analysis and Bayesian weighted Mendelian randomization (BWMR) analysis were used.

resultsMR analysis showed that there is indeed a genetic causal relationship between immune cells and telomere length. A total of 16 immune cells were successfully validated. A positive correlation was found between telomere length and immune cells such as CD28 + CD45RA + CD8br %CD8br (OR = 1.002, 95%CI: 1.000-1.003). A negative correlation was found between telomere length and immune cells such as Transitional AC (OR = 0.991, 95%CI: 0.984-0.997) (P < 0.05). Reverse MR analysis similarly confirmed that telomere length can affect four types of immune cells, including CD25 on IgD + CD24- (OR = 1.291, 95%CI: 1.060-1.571), at the genetic level.

conclusionThere is indeed a mutual genetic causality between immune cells and telomere length, which will provide theoretical basis and support for more subsequent clinical studies.

Indexed as

Genome-Wide Association StudyMendelian Randomization AnalysisBayes TheoremCD28 AntigensHumansTelomereCD28 AntigensGenetic causalityImmune cellMendelian randomizationTelomere length

Identifiers

PMID38459464
PMCPMC10924351

What Socratic holds

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Registered trials

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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 Socratic graph.