Evidence map›Paper›PMID 38348026›Full record

ArticleFrontiers in immunology2024

Causal relationship between immune cells and neurodegenerative diseases: a two-sample Mendelian randomisation study.

Chao Tang, Xiaoyang Lei, Yaqi Ding, Sushuang Yang, Yayu Ma, Dian He

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Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Chao TangDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Xiaoyang LeiDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Yaqi DingDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Sushuang YangDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Yayu MaDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Dian HeDepartment of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is increasing evidence that the types of immune cells are associated with various neurodegenerative diseases. However, it is currently unclear whether these associations reflect causal relationships. Objective: To elucidate the causal relationship between immune cells and neurodegenerative diseases, we conducted a two-sample Mendelian randomization (MR) analysis. Materials and methods: The exposure and outcome GWAS data used in this study were obtained from an open-access database (https://gwas.mrcieu.ac.uk/), the study employed two-sample MR analysis to assess the causal relationship between 731 immune cell features and four neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS). All immune cell data was obtained from Multiple MR methods were used to minimize bias and obtain reliable estimates of the causal relationship between the variables of interest and the outcomes. Instrumental variable selection criteria were restricted to ensure the accuracy and effectiveness of the causal relationship between species of immune cells and the risk of these neurodegenerative diseases. Results: The study identified potential causal relationships between various immune cells and different neurodegenerative diseases. Specifically, we found that 8 different types of immune cells have potential causal relationships with AD, 1 type of immune cells has potential causal relationships with PD, 6 different types of immune cells have potential causal relationships with ALS, and 6 different types of immune cells have potential causal relationships with MS. Conclusion: Our study, through genetic means, demonstrates close causal associations between the specific types of immune cells and AD, PD, ALS and MS, providing useful guidance for future clinical researches.

Indexed as

Alzheimer DiseaseAmyotrophic Lateral SclerosisMultiple SclerosisNeurodegenerative DiseasesParkinson DiseaseCausalityHumansAlzheimer’s diseaseamyotrophic lateral sclerosisimmune cellsMendelian randomizationmultiple sclerosisneurodegenerative diseasesParkinson’s disease

Identifiers

PMID38348026
PMCPMC10859421

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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 OpenQuestion graph.