Evidence map›Paper›PMID 38632320›Full record

ArticleScientific reports2024

Assessing causal relationships between gut microbiota and psoriasis: evidence from two sample Mendelian randomization analysis.

Yuan Li, Gaihe Chen, Xiaohuan Hu, Yunlei Bao, Chuyan Wu, Ni Zeng, Feng Jiang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Protective and Reparative Effects ofJournal of microbiology and biotechnology · 2025
    Article
  6. Article
  7. Review
  8. Psoriasis.Nature reviews. Disease primers · 2025
    Review
  9. Article
  10. Review
  11. Skin microbiome and dermatologic disorders.The Journal of clinical investigation · 2025
    Review
  12. Review
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

7 authors at 3 institutions in 1 country.

Yuan Li *Department of Dermatology, The Fifth People's Hospital of Hainan Province, Haikou, China.
Gaihe Chen *Department of Dermatology, The Fifth People's Hospital of Hainan Province, Haikou, China.
Xiaohuan Hu *Department of Dermatology, The Fifth People's Hospital of Hainan Province, Haikou, China.
Yunlei BaoDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Chuyan WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. chuyan_w@hotmail.com.
Ni ZengDepartment of Dermatology, Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, China. jennyfantasyzmu@hotmail.com.
Feng JiangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. dxyjiang@163.com.
Obstetrics and Gynecology Hospital of Fudan University · CNJiangsu Province Hospital · CNZunyi Medical University · CN

Funding

Hainan Province Clinical Medical Center, The Excellent Talent Team of Hainan Province No.QRCBT202121
6 · The paper itself

Abstract

Mounting data hints that the gut microbiota's role may be pivotal in understanding the emergence of psoriasis. However, discerning a direct causal link is yet elusive. In this exploration, we adopted a Mendelian randomization (MR) strategy to probe the prospective causal interplay between the gut's microbial landscape and the predisposition to psoriasis. Genetic markers acting as instrumental variables for gut microbiota were extrapolated from a genome-wide association study (GWAS) encompassing 18,340 individuals. A separate GWAS yielded summary data for psoriasis, which covered 337,159 patients and 433,201 control subjects. The primary analysis hinged on inverse variance weighting (IVW). Additional methods like the weighted median approach and MR-Egger regression were employed to validate the integrity of our findings. Intriguing correlations emerged between psoriasis risk and eight specific bacterial traits. To illustrate: Mollicutes presented an odds ratio (OR) of 1.003 with a 95% confidence interval (CI) spanning 1.001-1.005 (p = 0.016), while the family. Victivallaceae revealed an OR of 0.998 with CI values between 0.997 and 0.999 (p = 0.023). Eubacterium (coprostanoligenes group) revealed an OR of 0.997 with CI values between 0.994 and 0.999 (p = 0.027). Eubacterium (fissicatena group) revealed an OR of 0.997 with CI values between 0.996 and 0.999 (p = 0.005). Holdemania revealed an OR of 1.001 with CI values 1-1.003 (p = 0.034). Lachnospiraceae (NK4A136 group) revealed an OR of 0.997 with CI values between 0.995 and 0.999 (p = 0.046). Lactococcus revealed an OR of 0.998 with CI values between 0.996 and 0.999 (p = 0.008). Tenericutes revealed an OR of 1.003 with CI values between 1.001 and 1.006 (p = 0.016). Sensitivity analysis for these bacterial features yielded congruent outcomes, reinforcing statistically significant ties between the eight bacterial entities and psoriasis. This comprehensive probe underscores emerging evidence pointing towards a plausible causal nexus between diverse gut microbiota and the onset of psoriasis. It beckons further research to unravel the intricacies of how the gut's microbial constituents might sway psoriasis's pathogenesis.

Indexed as

EubacterialesEubacteriumGastrointestinal MicrobiomeTenericutesGenome-Wide Association StudyHumansMendelian Randomization AnalysisProspective StudiesGeneticsGut microbiotaGWASMendelian randomizationPsoriasis

Identifiers

PMID38632320
PMCPMC11024213
OpenAlexW4394890634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.