Gut Microbiota, Metabolic Markers, and Systemic Inflammation in Young Women with Self-Reported Rosacea: An Exploratory Cross-Sectional Study

Background: Rosacea is a chronic inflammatory dermatosis with emerging links to the gut–skin axis, yet integrative data connecting fecal microbiota with metabolic and immune parameters remain scarce. Methods: Within a cohort of Croatian women (N = 300, aged 30–35), participants with self-reported physician-diagnosed rosacea (n = 19) were compared to controls (n = 281). Assessments included validated questionnaires, anthropometrics, fasting blood parameters, and fecal 16S rRNA gene sequencing (QIIME2). Taxonomic profiling at four levels (899 features) used Mann–Whitney U tests with per-level Benjamini–Hochberg FDR correction. This study follows STROBE and STORMS guidelines. Results: On the host side, rosacea was nominally associated with higher BMI (p = 0.037), poorer sleep quality (p = 0.038), elevated monocytes (p = 0.031), and higher HOMA-B (p = 0.013); these comparisons were not corrected for multiple testing. Fecal 16S rRNA analysis (rosacea n = 18, controls n = 265) identified 15 nominally significant genera, including depleted Bifidobacterium (p = 0.007), Roseburia (p = 0.033), and enriched Anaerostignum (p < 0.001). However, no taxon survived FDR correction at any taxonomic level (lowest q = 0.165), and the total number of nominally significant features (48/899, 5.3%) did not exceed chance expectation (binomial p = 0.340). All key taxa remained nominally significant after BMI adjustment. An exploratory Random Forest classifier (five genera + HOMA-B + cortisol) achieved LOOCV AUC = 0.785, but feature selection on the training data limits interpretation. Conclusions: In this narrowly age-defined female cohort, host-side metabolic and immune differences reached nominal significance without multiple-testing correction. Fecal microbiota differences were exclusively exploratory: no taxon survived FDR correction, and the overall signal did not exceed chance expectation. The pattern of findings is compatible with—but does not constitute evidence for—a gut–skin axis contribution to rosacea. Confirmation in adequately powered cohorts with clinical rosacea verification, comprehensive confounder capture, and pre-registered analyses is required before any mechanistic or clinical conclusions can be drawn.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2026-05-27
DOI
https://doi.org/10.3390/jcm15114130
Primary Topic
Acne and Rosacea Treatments and Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gut Microbiota, Metabolic Markers, and Systemic Inflammation in Young Women with Self-Reported Rosacea: An Exploratory Cross-Sectional Study

Valentina Borko, Romia Gregorović, Paola Pavačić, Olga Gornik et al.
Journal of Clinical Medicine
Acne and Rosacea Treatments and Effects
article

Gut Microbiota, Metabolic Markers, and Systemic Inflammation in Young Women with Self-Reported Rosacea: An Exploratory Cross-Sectional Study

Valentina Borko, Romia Gregorović, Paola Pavačić, Olga Gornik, Andrija Karačić, Željana Bolanča, Karlo Zeman, Emanuela Krpan, Ana-Marija Liberati Pršo, Sara Kralj, Helena Čičak
article en

Abstract

Background: Rosacea is a chronic inflammatory dermatosis with emerging links to the gut–skin axis, yet integrative data connecting fecal microbiota with metabolic and immune parameters remain scarce. Methods: Within a cohort of Croatian women (N = 300, aged 30–35), participants with self-reported physician-diagnosed rosacea (n = 19) were compared to controls (n = 281). Assessments included validated questionnaires, anthropometrics, fasting blood parameters, and fecal 16S rRNA gene sequencing (QIIME2). Taxonomic profiling at four levels (899 features) used Mann–Whitney U tests with per-level Benjamini–Hochberg FDR correction. This study follows STROBE and STORMS guidelines. Results: On the host side, rosacea was nominally associated with higher BMI (p = 0.037), poorer sleep quality (p = 0.038), elevated monocytes (p = 0.031), and higher HOMA-B (p = 0.013); these comparisons were not corrected for multiple testing. Fecal 16S rRNA analysis (rosacea n = 18, controls n = 265) identified 15 nominally significant genera, including depleted Bifidobacterium (p = 0.007), Roseburia (p = 0.033), and enriched Anaerostignum (p < 0.001). However, no taxon survived FDR correction at any taxonomic level (lowest q = 0.165), and the total number of nominally significant features (48/899, 5.3%) did not exceed chance expectation (binomial p = 0.340). All key taxa remained nominally significant after BMI adjustment. An exploratory Random Forest classifier (five genera + HOMA-B + cortisol) achieved LOOCV AUC = 0.785, but feature selection on the training data limits interpretation. Conclusions: In this narrowly age-defined female cohort, host-side metabolic and immune differences reached nominal significance without multiple-testing correction. Fecal microbiota differences were exclusively exploratory: no taxon survived FDR correction, and the overall signal did not exceed chance expectation. The pattern of findings is compatible with—but does not constitute evidence for—a gut–skin axis contribution to rosacea. Confirmation in adequately powered cohorts with clinical rosacea verification, comprehensive confounder capture, and pre-registered analyses is required before any mechanistic or clinical conclusions can be drawn.

Journal of Clinical MedicineVol. 15(11)
University Hospital Centre Zagreb (HR), University of Zagreb (HR), Klinička bolnica "Sveti Duh" (HR), Psychiatric Hospital Sveti Ivan (HR), Children's Hospital Zagreb (HR)
Gender equality
Openalex Percentile: Top 6%
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.