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Decoding the skin microbiota: A Mendelian randomization study reveals new insights into acne causality
Jie Zhou1,2, Yixin Xu1,2, Haitao Wang3
1Department of General Surgery, The Wujin Hospital Affiliated with Jiangsu University, Changzhou, China.
Medicine
|June 17, 2025
Summary
This study reveals that increased Staphylococcus and Propionibacterium acnes on oily skin may cause acne. Conversely, certain Corynebacterium and Staphylococcus strains appear protective against acne development.
Area of Science:
- Dermatology and Microbiology
- Genetics and Epidemiology
Background:
- The relationship between skin microbiota and acne pathogenesis is complex and debated.
- Previous research has not fully elucidated the causal links between specific skin microbes and acne development.
Purpose of the Study:
- To investigate the causal relationship between skin microbiota in sebaceous areas and acne risk using Mendelian randomization.
- To identify specific microbial taxa that influence acne development.
Main Methods:
- Utilized genome-wide association studies (GWAS) data from public databases.
- Performed bidirectional Mendelian randomization (MR) analysis on microbiota data from sebaceous skin and acne.
- Employed inverse-variance weighted (IVW) method with sensitivity analyses including heterogeneity and pleiotropy testing.
Main Results:
- Increased abundance of Staphylococcus and Propionibacterium acnes in sebaceous skin showed a causal link to higher acne risk (P < 0.05).
- Specific unclassified strains, ASV004 (Corynebacterium) and ASV008 (Staphylococcus), demonstrated a protective effect, reducing acne incidence (P < 0.05).
- No evidence of reverse causality, horizontal pleiotropy, or heterogeneity was found, supporting the robustness of the findings.
Conclusions:
- This study provides evidence for a causal role of specific skin bacteria in acne development.
- Identified both risk and protective microbial factors, offering new insights into acne pathogenesis.
- Supports the use of MR in dissecting the complex interplay between the skin microbiome and dermatological conditions.

