Evidence map›Paper›PMID 39261978›Full record

ArticleJournal of cellular and molecular medicine2024

Causal association between B cell count and psoriasis using two-sample Mendelian randomization.

Zongfeng Zhao, Jie Cheng, Jian Zhu, Sheng Lu, Hongli Lv, Xiujuan Wu

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Zongfeng ZhaoCentral Laboratory, Shanghai Xuhui Central Hospital, Shanghai, China.
Jie ChengDepartment of Urology, Shanghai Xuhui Central Hospital, Shanghai, China.
Jian ZhuDepartment of Dermatology, Shanghai Xuhui Central Hospital, Shanghai, China.
Sheng LuDepartment of Dermatology, Shanghai Xuhui Central Hospital, Shanghai, China.
Hongli LvDepartment of Dermatology, Jia Ding Central Hospital, Shanghai, China.
Xiujuan WuDepartment of Dermatology, Shanghai Xuhui Central Hospital, Shanghai, China.ORCID 0000-0002-5475-4989

Funding

Jiangsu University Research Project Grant no. JDYY2023093Xuhui District Medical Research Project Grant no. SHXH202002
6 · The paper itself

Abstract

To investigate the causality between B cell count and psoriasis by Mendelian randomization (MR). Collected B cell count and psoriasis data from IEU Open GWAS Project. Employed inverse variance weighting (IVW), MR-Egger, WM, weighted mode for analysis, ensuring result robustness. Assessed horizontal pleiotropy with MR-Egger, detected outliers using MR-PRESSO and examined instrumental variables heterogeneity with Cochran's Q-test. The IVW method suggested an association between a genetically predicted memory B cell count and the risk of psoriasis vulgaris. IVW results also showed no causality between other exposure factors and the corresponding outcomes. Also, the global test of MR-PRESSO analysis showed a significant association between a genetically predicted transitional absolute B cell count and the lower risk of psoriasis vulgaris. MR-Egger regression showed that horizontal pleiotropy did not influence the analysis results. We found that memory B cell absolute counts are associated with a lower risk of psoriasis. These data further elucidate the role of memory B cells in psoriasis and provide new options for psoriasis treatment.

Indexed as

Genome-Wide Association StudyMendelian Randomization AnalysisPsoriasisB-LymphocytesGenetic Predisposition to DiseaseHumansLymphocyte CountPolymorphism, Single NucleotideRisk FactorsB cell countMendelian randomizationpsoriasis

Identifiers

PMID39261978
PMCPMC11390492

What OpenQuestion 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 OpenQuestion graph.