Evidence map›Paper›PMID 39218780›Full record

ArticleSkin 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

Skin microbiome and causal relationships in three dermatological diseases: Evidence from Mendelian randomization and Bayesian weighting.

Xiaojian Li, Shiyu Chen, Shupeng Chen, Shiping Cheng, Hongrong Lan, Yunbo Wu, Guirong Qiu, Lingjin Zhang

Abstract read
In one paragraph

Article in 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. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Cosmetic Interventions for Skin Microbiome Modulation: Current Strategies and Future Directions.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) · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Skin microbiome and causal relationships in three dermatological diseases: Evidence from Mendelian randomization and Bayesian weighting.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
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.

Xiaojian LiClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, China.ORCID https://orcid.org/0000-0002-9131-4659
Shiyu ChenClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, China.
Shupeng ChenClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, China.
Shiping ChengClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, China.
Hongrong LanClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, China.
Yunbo WuClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, China.
Guirong QiuClinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, China.ORCID https://orcid.org/0000-0003-3136-6673
Lingjin ZhangDermatology Department, Shenzhen Luohu Hospital of Traditional Chinese Medicine, Shenzhen, China.

Funding

Luohu District Soft Science Research Program LX202402017National Natural Science Foundation of China Youth Science Fund Projec 82205038Technology Innovation Team of Jiangxi University of Chinese Medicine CXTD 220090
6 · The paper itself

Abstract

backgroundAtopic dermatitis (AD), psoriasis (PSO), rosacea, and other related immune skin diseases are affected by multiple complex factors such as genetic and microbial components. This research investigates the causal relationships between specific skin microbiota and these diseases by using Mendelian randomization (MR), and Bayesian weighted Mendelian randomization (BWMR).

methodsWe utilized genome-wide association study (GWAS) data to analyze the associations between various skin bacteria and three dermatological diseases. Single nucleotide polymorphisms (SNPs) served as instrumental variables (IVs) in MR methods, including inverse variance weighted (IVW), and MR Egger. BWMR was employed to validate results and address pleiotropy.

resultsThe IVW analysis identified significant associations between specific skin microbiota and dermatological diseases. ASV006_Dry, ASV076_Dry, and Haemophilus_Dry were significantly positively associated with AD, whereas Kocuria_Dry was negatively associated. In PSO, ASV005_Dry was negatively associated, whereas ASV004_Dry, Rothia_Dry, and Streptococcus_Moist showed positive associations. For rosacea, ASV023_Dry was significantly positively associated, while ASV016_Moist, Finegoldia_Dry, and Rhodobacteraceae_Moist were significantly negatively associated. These results were corroborated by BWMR analysis.

conclusionBacterial species such as Finegoldia, Rothia, and Streptococcus play crucial roles in the pathogenesis of AD, PSO, and rosacea. Understanding these microbial interactions can aid in developing targeted treatments and preventive strategies, enhancing patient outcomes and quality of life.

Indexed as

Bayes TheoremDermatitis, AtopicGenome-Wide Association StudyMendelian Randomization AnalysisMicrobiotaPolymorphism, Single NucleotideHumansPsoriasisRosaceaSkinSkin Diseasesatopic dermatitisfinegoldiamendelian randomizationpsoriasisrosaceaskin microbiome

Identifiers

PMID39218780
PMCPMC11366447

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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.