Exploring the Gut Microbiome and Metabolome in Individuals with Alopecia Areata Disease.
Olga NikoloudakiDaniela PintoMarta Acin AlbiacGiuseppe CelanoAlessio Da RosMaria De AngelisFabio RinaldiMarco GobbettiRaffaella Di CagnoPublished in: Nutrients (2024)
In recent years, heightened attention has been devoted to unravelling the intricate interplay between genetic and environmental factors shaping the gut microbiota and its significance for human health. This study delves into exploring the plausible connection between Alopecia Areata (AA), an autoimmune disease, and the dynamics of the gut microbiome. Examining a cohort of healthy adults and individuals with AA, both the gut microbiota composition and volatile organic compound (VOC) metabolites from faeces and urine were analysed. While overall microbiota composition showed no significant differences, intra-individual variability revealed distinctions related to age, gender, and pathology status, with AA individuals exhibiting reduced species richness and evenness. Differential abundance analysis identified microbial biomarkers for AA, notably Firmicutes, Lachnospirales , and Blautia , while Coprococcus stood out for healthy individuals. The Data Integration Analysis for Biomarker discovery using Latent Components (DIABLO) method further supported these findings including metabolite biomarkers, such as esters of branched chain fatty acids and branched chain amino acids as predictors for AA, suggesting potential links to oxidative stress. Despite certain limitations, the study highlights the complexity of the gut microbiome and its metabolites in the context of AA, while the biomarkers identified could be useful starting points for upcoming studies.
Keyphrases
- human health
- oxidative stress
- risk assessment
- ms ms
- fatty acid
- small molecule
- amino acid
- multiple sclerosis
- genome wide
- gene expression
- working memory
- microbial community
- mental health
- dna damage
- big data
- dna methylation
- mass spectrometry
- machine learning
- high resolution
- induced apoptosis
- drug induced
- artificial intelligence
- diabetic rats
- water soluble
- case control