An integrative multi-omic analysis defines gut microbiota, mycobiota, and metabolic fingerprints in ulcerative colitis patients.
Humans
Colitis, Ulcerative
/ microbiology
Gastrointestinal Microbiome
Male
Adult
Female
Bacteria
/ classification
Middle Aged
Metabolomics
/ methods
RNA, Ribosomal, 16S
/ genetics
Gas Chromatography-Mass Spectrometry
Feces
/ microbiology
Fungi
/ classification
Dysbiosis
/ microbiology
Metabolome
Aged
Young Adult
Solid Phase Microextraction
Mycobiome
Multiomics
dysbiosis
gut metabolism
gut microbiota
inflammatory bowel disease
intestinal biomarkers
multi-omic integrated approaches
ulcerative colitis
Journal
Frontiers in cellular and infection microbiology
ISSN: 2235-2988
Titre abrégé: Front Cell Infect Microbiol
Pays: Switzerland
ID NLM: 101585359
Informations de publication
Date de publication:
2024
2024
Historique:
received:
05
01
2024
accepted:
18
04
2024
medline:
23
5
2024
pubmed:
23
5
2024
entrez:
23
5
2024
Statut:
epublish
Résumé
Ulcerative colitis (UC) is a multifactorial chronic inflammatory bowel disease (IBD) that affects the large intestine with superficial mucosal inflammation. A dysbiotic gut microbial profile has been associated with UC. Our study aimed to characterize the UC gut bacterial, fungal, and metabolic fingerprints by omic approaches. The 16S rRNA- and ITS2-based metataxonomics and gas chromatography-mass spectrometry/solid phase microextraction (GC-MS/SPME) metabolomic analysis were performed on stool samples of 53 UC patients and 37 healthy subjects (CTRL). Univariate and multivariate approaches were applied to separated and integrated omic data, to define microbiota, mycobiota, and metabolic signatures in UC. The interaction between gut bacteria and fungi was investigated by network analysis. In the UC cohort, we reported the increase of In this study, we identified intestinal bacterial, fungal, and metabolic UC-associated biomarkers. Furthermore, evidence on the relationships between bacterial and fungal ecosystems provides a comprehensive perspective on intestinal dysbiosis and ecological interactions between microorganisms in the framework of UC.
Sections du résumé
Background
UNASSIGNED
Ulcerative colitis (UC) is a multifactorial chronic inflammatory bowel disease (IBD) that affects the large intestine with superficial mucosal inflammation. A dysbiotic gut microbial profile has been associated with UC. Our study aimed to characterize the UC gut bacterial, fungal, and metabolic fingerprints by omic approaches.
Methods
UNASSIGNED
The 16S rRNA- and ITS2-based metataxonomics and gas chromatography-mass spectrometry/solid phase microextraction (GC-MS/SPME) metabolomic analysis were performed on stool samples of 53 UC patients and 37 healthy subjects (CTRL). Univariate and multivariate approaches were applied to separated and integrated omic data, to define microbiota, mycobiota, and metabolic signatures in UC. The interaction between gut bacteria and fungi was investigated by network analysis.
Results
UNASSIGNED
In the UC cohort, we reported the increase of
Conclusion
UNASSIGNED
In this study, we identified intestinal bacterial, fungal, and metabolic UC-associated biomarkers. Furthermore, evidence on the relationships between bacterial and fungal ecosystems provides a comprehensive perspective on intestinal dysbiosis and ecological interactions between microorganisms in the framework of UC.
Identifiants
pubmed: 38779566
doi: 10.3389/fcimb.2024.1366192
pmc: PMC11109417
doi:
Substances chimiques
RNA, Ribosomal, 16S
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1366192Informations de copyright
Copyright © 2024 Scanu, Toto, Petito, Masi, Fidaleo, Puca, Baldelli, Reddel, Vernocchi, Pani, Putignani, Scaldaferri and Del Chierico.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.