Characterization of Gut Microbiota in Patients with Active Spreading Vitiligo Based on Whole-Genome Shotgun Sequencing

Vitiligo is an autoimmune skin disease with a significant psychological burden and complex pathogenesis. While genetic factors contribute approximately 30% to its development, recent evidence suggests a crucial role of the gut microbiome in autoimmune diseases. This study investigated differences in gut microbiome composition and metabolic pathways between active spreading vitiligo patients and healthy controls using shotgun whole-genome sequencing in a Korean cohort. Taxonomic profiling reveals distinct characteristics in microbial community structure, with vitiligo patients showing an imbalanced proportion dominated by Actinomycetota and Bacteroidota. The vitiligo group exhibited significantly reduced abundance of specific species including <i>Faecalibacterium prausnitzii, Faecalibacteriumduncaniae</i>, and <i>Meamonas funiformis</i>, and increased <i>Bifidobacterium bifidum</i> compared to healthy controls. Metabolic pathway analysis identified significant enrichment in O-glycan biosynthesis pathways in vitiligo patients, while healthy controls showed enrichment in riboflavin metabolism and bacterial chemotaxis pathways. These findings provide new insights into the gut-skin axis in vitiligo pathogenesis and suggest potential therapeutic targets through microbiota modulation.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-03-24
DOI
https://doi.org/10.3390/ijms26072939
Citations
1
Primary Topic
melanin and skin pigmentation
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of Gut Microbiota in Patients with Active Spreading Vitiligo Based on Whole-Genome Shotgun Sequencing

Ji Hae Lee, Jung Min Bae, Wei Song, Ji Hae Shin et al.
1 citations
International Journal of Molecular Sciences
melanin and skin pigmentation
1.15
article

Characterization of Gut Microbiota in Patients with Active Spreading Vitiligo Based on Whole-Genome Shotgun Sequencing

Ji Hae Lee, Jung Min Bae, Wei Song, Ji Hae Shin, Hyun Jeong Ju, Minho Lee, Young Bok Lee
article en
1 citations

Abstract

Vitiligo is an autoimmune skin disease with a significant psychological burden and complex pathogenesis. While genetic factors contribute approximately 30% to its development, recent evidence suggests a crucial role of the gut microbiome in autoimmune diseases. This study investigated differences in gut microbiome composition and metabolic pathways between active spreading vitiligo patients and healthy controls using shotgun whole-genome sequencing in a Korean cohort. Taxonomic profiling reveals distinct characteristics in microbial community structure, with vitiligo patients showing an imbalanced proportion dominated by Actinomycetota and Bacteroidota. The vitiligo group exhibited significantly reduced abundance of specific species including <i>Faecalibacterium prausnitzii, Faecalibacteriumduncaniae</i>, and <i>Meamonas funiformis</i>, and increased <i>Bifidobacterium bifidum</i> compared to healthy controls. Metabolic pathway analysis identified significant enrichment in O-glycan biosynthesis pathways in vitiligo patients, while healthy controls showed enrichment in riboflavin metabolism and bacterial chemotaxis pathways. These findings provide new insights into the gut-skin axis in vitiligo pathogenesis and suggest potential therapeutic targets through microbiota modulation.

International Journal of Molecular SciencesVol. 26(7)
Dongguk University (KR), The Catholic University of Korea St. Vincent's Hospital (KR), The Catholic University of Korea Uijeongbu St. Mary's Hospital (KR), Catholic University of Korea (KR)
Openalex Percentile: Top 26%
melanin and skin pigmentation
1.15
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.