Dynamics of Dysbiosis in the Skin and Gut Microbiome of Burn Patients

Burn Injuries, Microbiome, Microbiome Dysbiosis, Skin Disease

Burn Injury, Skin Microbiome, Gut Microbiome, Dysbiosis, 16S rRNA Sequencing

This prospective observational cohort study aims to investigate the longitudinal changes in the skin and gut microbiome of burn patients after injury and compare them with healthy controls. Burn injuries are known to induce systemic physiological and immune responses that may lead to widespread microbial dysbiosis (microbial imbalance) beyond the injured site. However, the dynamics of microbial community changes in both burned and non-burned skin, as well as the gut, remain poorly understood. In this study, a total of 660 participants will be enrolled, including 600 burn patients and 60 healthy controls. For burn patients, skin swabs from burned scars and matched non-burned skin, stool samples, and physiological skin measurements will be collected at multiple time points (baseline, 3 months, 6 months, 12 months, and 24 months). Healthy controls will provide skin and stool samples at baseline only. Microbial profiling will be performed using 16S ribosomal RNA (rRNA) gene sequencing, and functional prediction will be analyzed using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States 2 (PICRUSt2). Physiological skin-barrier measurements, including transepidermal water loss (TEWL), hydration, pH, erythema, and elasticity, will be assessed using standardized instruments. Blood biomarkers, including C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), will also be measured. The findings of this study will improve our understanding of burn-related microbial dysbiosis, provide insights into microbiome-driven skin-barrier recovery, and inform potential therapeutic strategies for long-term burn care.

This is a prospective, observational cohort study conducted at the Burn Institute of Hallym University Hangang Sacred Heart Hospital. The study aims to characterize temporal changes in the skin and gut microbiome of burn patients compared with healthy controls and to identify potential links between microbiome dynamics, skin-barrier recovery, and systemic immune responses. A total of 660 participants will be enrolled, including 600 burn patients and 60 healthy controls. Burn patients will be followed longitudinally for 24 months, with sample collection and clinical measurements performed at baseline (within 7 days after hospital admission), 3 months, 6 months, 12 months, and 24 months after injury. Healthy controls will provide single-timepoint samples for comparison. Sample Collection Skin Microbiome: Swabs will be collected from burned scars and matched non-burned skin sites. Gut Microbiome: Stool samples will be collected for 16S ribosomal RNA (rRNA) gene sequencing. Skin Physiological Measurements: Transepidermal water loss (TEWL), hydration, erythema, melanin index, elasticity, and pH levels will be measured using standardized instruments (Corneometer®, Tewameter®, Mexameter®, Cutometer®, and pH meter). Blood Biomarkers: Erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), interleukin-6 (IL-6), and other systemic inflammatory markers will be analyzed. Microbiome Profiling DNA extraction and 16S rRNA gene sequencing will be performed using Illumina sequencing platforms. Bioinformatic processing will be conducted using the Quantitative Insights Into Microbial Ecology 2 (QIIME2) pipeline. Functional prediction of microbial metabolic pathways will be analyzed with Phylogenetic Investigation of Communities by Reconstruction of Unobserved States 2 (PICRUSt2). Beta diversity and alpha diversity indices will be calculated, and taxonomic differences between groups will be assessed using Linear Discriminant Analysis Effect Size (LEfSe). Clinical Relevance Microbiome dysbiosis (microbial imbalance) after burn injury may extend beyond local wounds and affect non-burned skin and the gut, contributing to impaired skin-barrier function, immune dysregulation, and delayed recovery. Understanding these relationships may help develop microbiome-targeted therapeutic interventions, improve wound healing, and optimize long-term patient care.

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South Korea