Evidence map›Paper›PMID 38348088›Full record

ArticleClinical, cosmetic and investigational dermatology2024

Revealing the Impact of Gut Microbiota on Acne Through Mendelian Randomization Analysis.

Xiaotian Ji, Shuhui Wu, Dan Zhao, Qi Bai, Yun Wang, Ke Gong, Huie Zheng, Mingfang Zhu

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. A New Insight into Acne Pathogenesis: Multi-Omics Links a Metabolite toClinical, cosmetic and investigational dermatology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Gut microbiota and psoriasis: pathogenesis, targeted therapy, and future directions.Frontiers in cellular and infection microbiology · 2024
    Review
  7. 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

8 authors at 2 institutions in 1 country.

Xiaotian JiDepartment of Dermatology, the Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, People's Republic of China.ORCID 0009-0002-0432-278X
Shuhui WuDepartment of Dermatology, the Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, People's Republic of China.
Dan ZhaoDepartment of Dermatology, the Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, People's Republic of China.ORCID 0009-0007-7491-5026
Qi BaiDepartment of Dermatology, the Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, People's Republic of China.
Yun WangDepartment of Dermatology, the Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, People's Republic of China.ORCID 0000-0003-0832-6569
Ke GongDepartment of Traditional Chinese Medicine, Cangzhou Central Hospital, Cangzhou, People's Republic of China.
Huie ZhengDepartment of Dermatology, the Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, People's Republic of China.
Mingfang ZhuDepartment of Dermatology, the Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, People's Republic of China.
Second Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CNCangzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between acne and gut microbiota has garnered considerable attention; nevertheless, given the substantial diversity within gut microbiota, the precise cause-and-effect relationship linking specific microbial species to acne remains elusive. To address this gap in knowledge, our study utilized Mendelian randomization analysis to elucidate a potential causal link between gut microbiota composition and acne development while also investigating underlying mechanisms involving microbial factors associated with metabolic disorders. Materials and Methods: The independent single nucleotide polymorphisms (SNPs) closely associated with 196 gut microbiota samples (N=18340) were selected as variable tools. The relationship between gut microbiota and acne (N=212438) was analyzed using the Twosample package in R4.3.1, employing various methods including inverse variance weighting (IVW), weighted median, MR-Egger, Simple-mode, and Weighted-mode. To ensure the stability of the estimates, a series of sensitivity analyses were conducted, such as Cochran's Q-test, MR-Egger intercept analysis, leave-one-out analysis, and funnel plots. Additionally, the impact of each instrumental variable was calculated. Results: In the Mendelian randomization analysis, we identified twelve microbial taxa potentially associated with acne: family.Bacteroidaceae, family.Clostridiaceae1, genus.Allisonella, genus.Bacteroides, genus.Butyricimonas, genus.Clostridiumsensustricto1, and genus.Coprococcus3. These seven bacterial groups were found to be potential risk factors for acne. Conversely, family.Lactobacillaceae and genus.Ruminococcustorquesgroup along with genus.CandidatusSoleaferrea, genus.Fusicatenibacter, family.Lactobacillaceae, and genus.Lactobacillus exhibited a protective effect against acne. Furthermore, our investigation revealed that some of these microbial taxa have been implicated in metabolic diseases through previous studies. Importantly though, no causal relationship was observed in the reverse Mendelian randomization analysis.

Indexed as

acnegut microbiotaMendelian randomizationmetabolic disease

Identifiers

PMID38348088
PMCPMC10860601
OpenAlexW4391648736

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.