Evidence map›Paper›PMID 37653234›Full record

ArticleDermatology and therapy2023

Causal Associations Between Gut Microbiota and Psoriasis: A Mendelian Randomization Study.

Chenyang Zang, Jie Liu, Manyun Mao, Wu Zhu, Wangqing Chen, Baojian Wei

Open access · goldAbstract read
In one paragraph

Article in Dermatology and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Review
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  7. Article
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  9. Observational
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  13. Genetic insights into the gut microbiota and risk of facial skin aging: A Mendelian randomization study.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  14. Review
  15. Causal Relationship of Skin Microbiota on Psoriasis: A Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2024
    Article
  16. Article
  17. Review
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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

6 authors at 4 institutions in 3 countries.

Chenyang ZangThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Jie LiuXiangya School of Medicine, Central South University, Changsha, China.
Manyun MaoThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Wu ZhuThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China. zhuwu70@hotmail.com.
Wangqing ChenThe Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China. lanchen2008@163.com.
Baojian WeiSchool of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, China. bjwei@sdfmu.edu.cn.
Central South University · CNNational University of Defense Technology · CNShandong First Medical University · CNXiangya Hospital Central South University · CN

Funding

National Natural Science Foundation of China 81830096National Natural Science Foundation of China 81974479National Natural Science Foundation of China 82173426National Natural Science Foundation of China 82221002
6 · The paper itself

Abstract

introductionPrevious studies have proposed a possible gut-skin axis, and linked gut microbiota to psoriasis risks. However, there is heterogeneity in existing evidence. Observational research is prone to bias, and it is hard to determine causality. Therefore, this study aims to evaluate possible causal associations between gut microbiota (GM) and psoriasis.

methodsWith published large-scale GWAS (genome-wide association study) summary datasets, two-sample Mendelian randomization (MR) was performed to sort out possible causal roles of GM in psoriasis and arthropathic psoriasis (PsA). The inverse variance weighted (IVW) method was taken as the primary evaluation of causal association. As complements to the IVW method, we also applied MR-Egger, weighted median. Sensitivity analyses were conducted using Cochrane's Q test, MR-Egger intercept test, MR-PRESSO (Mendelian Randomization Pleiotropy RESidual Sum and Outlier) global test, and leave-one-out analysis.

resultsBy primary IVW analysis, we identified nominal protective roles of Bacteroidetes (odds ratio, OR 0.81, P = 0.033) and Prevotella9 (OR 0.87, P = 0.045) in psoriasis risks. Bacteroidia (OR 0.65, P = 0.03), Bacteroidales (OR 0.65, P = 0.03), and Ruminococcaceae UCG002 (OR 0.81, P = 0.038) are nominally associated with lower risks for PsA. On the other hand, Pasteurellales (OR 1.22, P = 0.033), Pasteurellaceae (OR 1.22, P = 0.033), Blautia (OR 1.46, P = 0.014), Methanobrevibacter (OR 1.27, P = 0.026), and Eubacterium fissicatena group (OR 1.21, P = 0.028) are nominal risk factors for PsA. Additionally, E. fissicatena group is a possible risk factor for psoriasis (OR 1.22, P = 0.00018). After false discovery rate (FDR) correction, E. fissicatena group remains a risk factor for psoriasis (P

conclusionWe comprehensively evaluated possible causal associations of GM with psoriasis and arthropathic psoriasis, and identified several nominal associations. E. fissicatena group remains a risk factor for psoriasis after FDR correction. Our results offer promising therapeutic targets for psoriasis clinical management.

Indexed as

Causal analysisGut microbiotaGut–skin axisMendelian randomizationPsoriasis

Identifiers

PMID37653234
PMCPMC10539234
OpenAlexW4386332794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.