Evidence map›Paper›PMID 42016305›Full record

ArticlePsoriasis (Auckland, N.Z.)2026

Genetic Evidence Linking Immune Cell Subsets to Psoriatic Arthritis Susceptibility: A Mendelian Randomization Study.

Huiwei Wang, Mingxuan Ma, Chenfeng Wang, Yu Zhen, Shanshan Li

Abstract read
In one paragraph

Article in Psoriasis (Auckland, N.Z.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Huiwei Wang *Department of Dermatology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin Province, People's Republic of China.ORCID 0000-0002-8055-4104
Mingxuan Ma *Department of Dermatology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin Province, People's Republic of China.
Chenfeng Wang *Department of Orthopaedic Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Yu ZhenDepartment of Dermatology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin Province, People's Republic of China.
Shanshan LiDepartment of Dermatology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Psoriatic arthritis (PsA) involves intricate immune-mediated pathways that extend beyond the well-characterized IL-23/IL-17 axis. Given that many patients show inadequate responses to current therapies, identifying novel immune drivers is essential. To clarify how specific immune cell populations influence PsA susceptibility, we performed a bidirectional two-sample Mendelian randomization (MR) study. Methods: We used genetic instruments for immune traits from a GWAS of 3,757 European individuals and PsA summary data from the IEU database (5,065 cases and 21,286 controls). Applying inverse variance weighting as our principal method. Results: At a nominal significance level ( Conclusion: Our findings map the genetic underpinnings of immune dysregulation in PsA and provide a hypothesis-generating resource for therapeutic strategies targeting B cell stimulation. The preliminary nature and uncertainty of these associations necessitates further investigation and validation in independent, larger cohorts alongside current cytokine-directed approaches.

Indexed as

genome-wide association studiesimmunocyte phenotypeMendelian randomizationpsoriatic arthritissingle nucleotide polymorphisms

Identifiers

PMID42016305
PMCPMC13094571

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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.