ArticleMicroorganisms2023
Exploring the Association between Gut Microbiota and Inflammatory Skin Diseases: A Two-Sample Mendelian Randomization Analysis.
Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- The association between atopic dermatitis and rosacea: a comprehensive review from comorbidities to pathogenic mechanisms.Frontiers in immunology · 2026Review
- Mendelian randomization studies in atopic dermatitis: causal insights across omics layers.Frontiers in immunology · 2026Review
- The gut‑skin axis: Emerging insights in understanding and treating skin diseases through gut microbiome modulation (Review).International journal of molecular medicine · 2025Review
- The gut-skin axis: a bi-directional, microbiota-driven relationship with therapeutic potential.Gut microbes · 2025Review
- A study revealed the impact of gut microbiota on acne vulgaris: Evidence based on Mendelian randomization.Medicine · 2025Article
- The Microecological-Immune Axis in Pediatric Allergic Diseases: Imbalance Mechanisms and Regulatory Interventions.Nutrients · 2025Review
- Inflammation biomarkers mediate causal inference of the effect of skin microbiota on the risk of allergic diseases.AMB Express · 2025Article
- Assessing the influence of plasma metabolites on chronic skin ulcer risk: a two-sample Mendelian randomization study.Scientific reports · 2025Article
- Oral administration ofFrontiers in immunology · 2025Article
- Exploring the association between skin microbiota and inflammatory skin diseases: a two-sample Mendelian randomization analysis.Archives of dermatological research · 2024Article
- Immune cell trafficking: a novel perspective on the gut-skin axis.Inflammation and regeneration · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging research underscores the substantial link between gut flora and various inflammatory skin diseases. We hypothesize that there exists a complex gut-skin axis, possibly affecting the progression of conditions such as eczema, acne, psoriasis, and rosacea. However, the precise nature of the causal connection between gut flora and skin diseases remains unestablished. In this study, we started by compiling summary data from genome-wide association studies (GWAS) featuring 211 unique gut microbiota and four types of skin conditions. We scrutinized these data across different taxonomic strata. Subsequently, we leveraged Mendelian randomization (MR) to ascertain if there is a causal link between gut microbiota and these skin conditions. We also performed a bidirectional MR analysis to identify the causality's direction. By utilizing Mendelian randomization, we identified 26 causal connections between the gut microbiome and four recognized inflammatory skin conditions, including 9 positive and 17 negative causal directions. Additional sensitivity analyses of these results revealed no evidence of pleiotropy or heterogeneity. Our MR analysis suggests a causal connection between gut microbiota and skin diseases, potentially providing groundbreaking perspectives for future mechanistic and clinical studies on microbiota-affected skin conditions.
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Registered trials
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.