Biomedicines · 2021 · 16 citations · 38 references
MedicineDermatologyMicrobiologyHost-pathogen InteractionsInflammationInnate ImmunityHair DisordersHair Follicle DisordersInflammatory DermatosesInflammatory Skin DiseasesInflammatory Skin DisordersSkin MicrobiomeAlopecia DisordersCutaneous Microbiome DysbiosisDefensin ExpressionFollicular InflammationHair Loss PathogenesisInnate Cytokine ResponsesScalp InfectionSkin Of The Scalp
Despite their distinct clinical manifestation, frontal fibrosing alopecia (FFA) and lichen planopilaris (LPP) display similar histopathologic features. Aberrant innate immune responses to endogenous or exogenous triggers have been discussed as factors that could drive inflammatory cascades and the collapse of the stem cell niche. In this exploratory study, we investigate the bacterial composition of scalp skin and plucked hair follicles (HF) of patients with FFA, LPP and alopecia areata circumscripta (AAc), as well as healthy individuals, in relation to cellular infiltrates and the expression of defense mediators. The most abundant genus in lesional and non-lesional HFs of LPP and FFA patients was Staphylococcus, while Lawsonella dominated in healthy individuals and in AAc patients. We observed statistically significant differences in the ratio of Firmicutes to Actinobacteria between healthy scalp, lesional, and non-lesional sites of FFA and LPP patients. This marked dysbiosis in FFA and LPP in compartments close to the bulge was associated with increased HβD1 and HβD2 expression along the HFs from lesional sites, while IL-17A was increased in lesional HF from AAc patients. The data encourage further studies on how exogenous factors and molecular interactions across the HF epithelium could contribute to disease onset and propagation.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Topographical and Temporal Diversity of the Human Skin Microbiome
Elizabeth A. Grice, Heidi H. Kong, Sean Conlan et al. · Science · 2009 · 3K citations