Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study

• Published in: PloS one Vol. 16; no. 5; p. e0251136
• Main Authors: Sanders, Martijn G. H, Nijsten, Tamar, Verlouw, Joost, Kraaij, Robert, Pardo, Luba M
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 24.05.2021; Public Library of Science (PLoS)
• Subjects: Analysis; Biology and Life Sciences; Care and treatment; Computer and Information Sciences; Cotton; Cross-sectional studies; Data analysis; Data collection; Deoxyribonucleic acid; Dermatitis; Dermatology; Diagnosis; Disease; DNA; DNA sequencing; Editing; Epidemiology; Erythema; Health care facilities; Internal medicine; Medicine; Medicine and Health Sciences; Methodology; Microbiomes; Microbiota (Symbiotic organisms); Microorganisms; Middle age; Polymerase chain reaction; Population; Registration; rRNA 16S; Scalp; Sebaceous gland; Sebaceous glands; Seborrhea; Seborrheic dermatitis; Skin; Skin diseases; Sodium chloride; Taxonomy; Winter climates; Yeast; Netherlands
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0251136

Seborrheic dermatitis (SD) is a chronic inflammatory skin disease with a multifactorial aetiology. Malassezia yeasts have been associated with the disease but the role of bacterial composition in SD has not been thoroughly investigated. To profile the bacterial microbiome of SD patients and compare this with the microbiome of individuals with no inflammatory skin disease (controls). This was a cross sectional study embedded in a population-based study. Skin swabs were taken from naso-labial fold from patients with seborrheic dermatitis (lesional skin: n = 22; non-lesional skin SD: n = 75) and controls (n = 465). Sample collection began in 2016 at the research facility and is still ongoing. Shannon and Chao1 [alpha]- diversity metrics were calculated per group. Associations between the microbiome composition of cases and controls was calculated using multivariate statistics (permANOVA) and univariate statistics. We found an increased [alpha]-diversity between SD lesional cases versus controls (Shannon diversity: Kruskal-Wallis rank sum: Chi-squared: 19.06; global p-value = 7.7x10.sup.-5). Multivariate statistical analysis showed significant associations in microbiome composition when comparing lesional SD skin to controls (p-value = 0.03;R.sup.2 = 0.1%). Seven out of 13 amplicon sequence variants (ASVs) that were significantly different between controls and lesional cases were members of the genus Staphylococcus, most of which showed increased composition in lesional cases, and were closely related to S. capitis S. caprae and S. epidermidis. Microbiome composition differs in patients with seborrheic dermatitis and individuals without diseases. Differences were mainly found in the genus Staphylococcus.