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- Title
Predictive metagenomic analysis identifies specific bacterial metabolic pathways in hidradenitis suppurativa tunnels.
- Authors
Ring, Hans Christian; Thorsen, Jonathan; Lilje, Berit; Bay, Lene; Bjarnsholt, Thomas; Fuursted, Kurt; Saunte, Ditte Marie; Jemec, Gregor Borut; Thomsen, Simon Francis
- Abstract
This article discusses a study that used predictive metagenomic analysis to identify specific bacterial metabolic pathways in hidradenitis suppurativa (HS) tunnels. HS is a chronic inflammatory skin disease characterized by nodules, abscesses, tunnels, and scarring. Previous studies have identified metabolic pathways associated with inflamed nodules and follicular samples in HS patients, but no studies have investigated the metabolic pathways in HS tunnels. The study found that certain taxa, including Prevotella and Porphyromonas, were associated with HS tunnels and correlated with specific metabolic pathways, such as amino acid metabolism and glycosaminoglycan metabolism. These findings provide new insights into the potential therapeutic targets for HS treatment.
- Subjects
HIDRADENITIS suppurativa; TUNNELS; METAGENOMICS; AMINO acid metabolism; NODULAR disease
- Publication
Journal of the European Academy of Dermatology & Venereology, 2024, Vol 38, Issue 1, pe63
- ISSN
0926-9959
- Publication type
Article
- DOI
10.1111/jdv.19433