Exploring Novel Biomarkers for Rosacea Through Cohort Study and Mendelian Randomisation

The current therapeutic landscape for rosacea is notably deficient in targeted medications, underscoring an urgent need for the identification of novel biomarkers. Utilising a longitudinal cohort of 54 306 individuals from the UK Biobank (UKB), we conducted a comprehensive assessment of the associations between 2923 serum proteins and the risk for rosacea. Our cohort analysis identified 18 proteins significantly associated with rosacea risk. Next, we complemented the two-sample Mendelian randomisation (TSMR) and Mendelian randomisation (SMR) analysis based on pooled data to identify genetic links between protein targets and rosacea. TSMR analysis refined this list to nine proteins demonstrating significant causal relationships with at least one form of rosacea. Further refinement through SMR and differential expression analysis reduced this to five key proteins, including four (ABHD14B, CHMP6, DBNL and MCFD2) that inhibit rosacea onset and one (MSR1) that promotes it. The differential expression of these five biomarkers was validated by multiple omics datasets as well as in vitro experiments. We calculated the protein score based on the expression levels of these proteins, noting that participants with higher scores demonstrated an increased incidence of rosacea. The integrative examination of proteomic and genetic data from a European adult cohort provides robust causal evidence for several proteins as promising new biomarkers for the development of rosacea treatments.

Authors

Institutions

Publication Details

Journal
Experimental Dermatology
Published
2025-09-01
DOI
https://doi.org/10.1111/exd.70161
Primary Topic
Acne and Rosacea Treatments and Effects
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Novel Biomarkers for Rosacea Through Cohort Study and Mendelian Randomisation

Rui Mao, Ji Li, Tongtong Zhang, Fan Wang
Experimental Dermatology
Acne and Rosacea Treatments and Effects
article

Exploring Novel Biomarkers for Rosacea Through Cohort Study and Mendelian Randomisation

Rui Mao, Ji Li, Tongtong Zhang, Fan Wang
article en

Abstract

The current therapeutic landscape for rosacea is notably deficient in targeted medications, underscoring an urgent need for the identification of novel biomarkers. Utilising a longitudinal cohort of 54 306 individuals from the UK Biobank (UKB), we conducted a comprehensive assessment of the associations between 2923 serum proteins and the risk for rosacea. Our cohort analysis identified 18 proteins significantly associated with rosacea risk. Next, we complemented the two-sample Mendelian randomisation (TSMR) and Mendelian randomisation (SMR) analysis based on pooled data to identify genetic links between protein targets and rosacea. TSMR analysis refined this list to nine proteins demonstrating significant causal relationships with at least one form of rosacea. Further refinement through SMR and differential expression analysis reduced this to five key proteins, including four (ABHD14B, CHMP6, DBNL and MCFD2) that inhibit rosacea onset and one (MSR1) that promotes it. The differential expression of these five biomarkers was validated by multiple omics datasets as well as in vitro experiments. We calculated the protein score based on the expression levels of these proteins, noting that participants with higher scores demonstrated an increased incidence of rosacea. The integrative examination of proteomic and genetic data from a European adult cohort provides robust causal evidence for several proteins as promising new biomarkers for the development of rosacea treatments.

Experimental DermatologyVol. 34(9)
Central South University (CN), Third People's Hospital of Chengdu (CN), Xiangya Hospital Central South University (CN), Chongqing Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 58%
Acne and Rosacea Treatments and Effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.