Microbiome predictors of candidiasis following corticosteroids in oral lichen planus

Objectives: Topical corticosteroid therapy (TCST) is the primary treatment for oral lichen planus (OLP), but an increased risk of oral candidiasis remains a common adverse effect. This study aimed to identify microbial predictors of candidiasis risk by comparing baseline oral bacteriome and mycobiome profiles of OLP patients who developed candidiasis following TCST with those who did not. Methods: A nested case-control study was conducted among twelve participants from an ongoing randomized controlled trial. Baseline oral rinse samples were collected from symptomatic OLP patients prior to TCST—six who later developed candidiasis (based on clinical and microbiological criteria) at 2–4 weeks post-treatment and six matched controls who did not. Samples were cultured on Sabouraud-dextrose agar with antibiotics to quantify Candida colonization, and DNA was extracted for 16S rRNA and ITS sequencing (Illumina MiSeq) to profile bacterial and fungal communities. Bioinformatics analysis included relative abundance, α-diversity, β-diversity (UNIFRAC), and LEfSe analyses using QIIME2. Results: At baseline, 67% of patients who later developed candidiasis exhibited high Candida colonization compared to 33% in the control group. Both groups showed dominance of Streptococcus and Candida genera; however, the candidiasis group demonstrated significantly lower bacterial α-diversity (Shannon index, p = 0.041), while fungal α-diversity remained similar. Bacterial β-diversity (unweighted UNIFRAC, p = 0.013) differed significantly between groups, but not fungal profiles. LEfSe analysis identified enrichment of Streptococcaceae and several bacterial taxa in the candidiasis group, while distinct bacterial and fungal taxa were enriched among controls. Conclusions: OLP patients who developed oral candidiasis following TCST exhibited lower bacterial diversity and higher baseline Candida colonization before treatment. Specific bacterial taxa, including Streptococcus spp., may serve as potential microbial biomarkers for predicting candidiasis risk. These findings underscore the potential role of the oral microbiome in guiding personalized management strategies for OLP patients receiving corticosteroid therapy.

Authors

Institutions

Publication Details

Journal
Indian Journal of Dental Research
Published
2026-03-01
DOI
https://doi.org/10.4103/ijdr_202637s1_abs_05
Primary Topic
Oral Health Pathology and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microbiome predictors of candidiasis following corticosteroids in oral lichen planus

Pornpan Piboonratanakit, Paswach Wiriyakijja, Oranart Matangkasombut, Thritamon Kabtum et al.
Indian Journal of Dental Research
Oral Health Pathology and Treatment
article

Microbiome predictors of candidiasis following corticosteroids in oral lichen planus

Pornpan Piboonratanakit, Paswach Wiriyakijja, Oranart Matangkasombut, Thritamon Kabtum, Pacharawan Kongsith, Panipak Assawasongsilp, Thanyaporn Cheeaboonkana
article en

Abstract

Objectives: Topical corticosteroid therapy (TCST) is the primary treatment for oral lichen planus (OLP), but an increased risk of oral candidiasis remains a common adverse effect. This study aimed to identify microbial predictors of candidiasis risk by comparing baseline oral bacteriome and mycobiome profiles of OLP patients who developed candidiasis following TCST with those who did not. Methods: A nested case-control study was conducted among twelve participants from an ongoing randomized controlled trial. Baseline oral rinse samples were collected from symptomatic OLP patients prior to TCST—six who later developed candidiasis (based on clinical and microbiological criteria) at 2–4 weeks post-treatment and six matched controls who did not. Samples were cultured on Sabouraud-dextrose agar with antibiotics to quantify Candida colonization, and DNA was extracted for 16S rRNA and ITS sequencing (Illumina MiSeq) to profile bacterial and fungal communities. Bioinformatics analysis included relative abundance, α-diversity, β-diversity (UNIFRAC), and LEfSe analyses using QIIME2. Results: At baseline, 67% of patients who later developed candidiasis exhibited high Candida colonization compared to 33% in the control group. Both groups showed dominance of Streptococcus and Candida genera; however, the candidiasis group demonstrated significantly lower bacterial α-diversity (Shannon index, p = 0.041), while fungal α-diversity remained similar. Bacterial β-diversity (unweighted UNIFRAC, p = 0.013) differed significantly between groups, but not fungal profiles. LEfSe analysis identified enrichment of Streptococcaceae and several bacterial taxa in the candidiasis group, while distinct bacterial and fungal taxa were enriched among controls. Conclusions: OLP patients who developed oral candidiasis following TCST exhibited lower bacterial diversity and higher baseline Candida colonization before treatment. Specific bacterial taxa, including Streptococcus spp., may serve as potential microbial biomarkers for predicting candidiasis risk. These findings underscore the potential role of the oral microbiome in guiding personalized management strategies for OLP patients receiving corticosteroid therapy.

Indian Journal of Dental ResearchVol. 37(Suppl 1)
Chulalongkorn University (TH)
Openalex Percentile: Top 8%
Oral Health Pathology and Treatment
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.