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001-es BibID:	BIBFORM123693
035-os BibID:	(Scopus)85196765295 (WOS)001260805100001
Első szerző:	Yang, Ying
Cím:	Exploratory multi-omics analysis reveals host-microbe interactions associated with disease severity in psoriatic skin / Ying Yang, Peter Olah, Zoltan Radai, Guilherme Maia, Alexander Salava, Ville Salo, Jonathan Barker, Antti Lauerma, Björn Andersson, Bernhard Homey, Nanna Fyhrquist, Harri Alenius
Dátum:	2024
ISSN:	2352-3964
Megjegyzések:	Background: Psoriasis (Pso) is a chronic inflammatory skin disease that poses both physical and psychological challenges. Dysbiosis of the skin microbiome has been implicated in Pso, yet a comprehensive multi-omics analysis of host-microbe interactions is still lacking. To bridge this gap, we conducted an exploratory study by adopting the integrated approach that combines whole metagenomic shotgun sequencing with skin transcriptomics. Methods: This was a cross-sectional study, adult patients with plaque-type Psoriasis (Pso) and healthy volunteers were included. Skin microbiota samples and biopsies were collected from both lesional and non-lesional skin areas on the lower back. Weighted Gene Correlation Network Analysis (WGCNA) was employed for co-expression network analysis, and cell deconvolution was conducted to estimate cell fractions. Taxonomic and functional features of the microbiome were identified using whole metagenomic shotgun sequencing. Association between host genes and microbes was analyzed using Spearman correlation. Findings: Host anti-viral responses and interferon-related networks were identified and correlated with the severity of psoriasis. The skin microbiome showed a greater prevalence of Corynebacterium simulans in the PASI severe-moderate groups, which correlated with interferon-induced host genes. Two distinct psoriatic clusters with varying disease severities were identified. Variations in the expression of cell apoptosis-associated antimicrobial peptides (AMPs) and microbial aerobic respiration I pathway may partly account for these differences in disease severity. Interpretation: Our multi-omics analysis revealed for the first time anti-viral responses and the presence of C. simulans associated with psoriasis severity. It also identified two psoriatic subtypes with distinct AMP and metabolic pathway expression. Our study provides new insights into understanding the host-microbe interaction in psoriasis and lays the groundwork for developing subtype-specific strategies for managing this chronic skin disease.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Microbiome Multi-omics Psoriasis Skin Transcriptome
Megjelenés:	EBioMedicine. - 105 (2024), p. 1-16. -
További szerzők:	Oláh Péter (bőrgyógyász) Rádai Zoltán (1991-) (biológus) Maia, Guilherme Salava, Alexander Salo, Ville Barker, Jonathan Lauerma, Antti I. Andersson, Björn Homey, Bernhard Fyhrquist, Nanna Alenius, Harri
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