Evidence map›Paper›PMID 38655262›Full record

ArticleFrontiers in immunology2024

Causal relationship between the immune cells and ankylosing spondylitis: univariable, bidirectional, and multivariable Mendelian randomization.

Chaofan Qin, Qingshuai Yu, Zhongliang Deng, You Zhang, Mingxin Chen, Xin Wang, Tao Hu, Bo Lei, Zhengjian Yan, Si Cheng

Open access · goldAbstract read
In one paragraph

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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, 4 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Chaofan Qin *Department of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Qingshuai Yu *Department of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Zhongliang DengDepartment of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
You ZhangDepartment of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Mingxin ChenDepartment of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Xin WangDepartment of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Tao HuDepartment of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Bo LeiDepartment of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Zhengjian YanDepartment of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Si ChengDepartment of Orthopedics, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Second Affiliated Hospital of Chongqing Medical University · CNChongqing Medical University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ankylosing spondylitis (AS) is an autoimmune disease that affects millions of individuals. Immune cells have been recognized as having a crucial role in the pathogenesis of AS. However, their relationship has not been fully explored. Methods: We chose to employ Mendelian randomization (MR) to investigate the potential correlation between immune cells and AS. We sourced the data on immune cells from the latest genome-wide association studies (GWASs). We obtained data on AS from the FinnGen consortium. Our comprehensive univariable MR analysis covered 731 immune cells to explore its potential causal relationship with AS. The primary analysis method was inverse-variance weighted (IVW). Additionally, we used Cochran's Q test and the MR-Egger intercept test to assess the presence of pleiotropy and heterogeneity. We examined whether our results could be influenced by individual single-nucleotide polymorphisms (SNPs) using the leave-one-out test. We conducted a bidirectional MR to investigate the reverse relationship. We also applied multivariable MR to decrease the potential influence between the immune cells. Results: Overall, our univariable MR analysis revealed eight immune cells associated with AS. Among these, four immune cells contributed to an increased risk of AS, while four immune cells were identified as protective factors for AS. However, the Bonferroni test confirmed only one risk factor and one protective factor with a significance level of p < 6.84E-05. CD8 on effector memory CD8 Conclusions: Our findings indicated a potential link between immune cells and AS, which could provide a new idea for future research. Nevertheless, the specific underlying mechanisms require further exploration.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyMendelian Randomization AnalysisPolymorphism, Single NucleotideSpondylitis, AnkylosingHumansankylosing spondylitisbidirectional Mendelian randomizationimmune cellsmultivariable Mendelian randomizationunivariable Mendelian randomization

Identifiers

PMID38655262
PMCPMC11035830
OpenAlexW4394618992

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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 OpenQuestion graph.