Arabinoxylan and Pectin Metabolism in Crohn’s Disease Microbiota: An In Silico Study

• Published in: International journal of molecular sciences Vol. 23; no. 13; p. 7093
• Main Authors: Sabater, Carlos, Calvete-Torre, Inés, Ruiz, Lorena, Margolles, Abelardo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2022; MDPI
• Subjects: arabinoxylan; Arabinoxylans; Bacteria; Bioinformatics; carbohydrate metabolism; Carbohydrates; Computer applications; Crohn's disease; Crohns disease; cross-feeding; Dysbacteriosis; Enzymes; Genomes; Glycosidases; Inflammatory bowel disease; Inflammatory bowel diseases; Metabolism; metagenome-assembled genomes; Metagenomics; Microbiota; Microorganisms; Pectin; Prebiotics; Syntrophism; Ulcerative colitis
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms23137093

Inflammatory bowel disease is a chronic disorder including ulcerative colitis and Crohn’s disease (CD). Gut dysbiosis is often associated with CD, and metagenomics allows a better understanding of the microbial communities involved. The objective of this study was to reconstruct in silico carbohydrate metabolic capabilities from metagenome-assembled genomes (MAGs) obtained from healthy and CD individuals. This computational method was developed as a mean to aid rationally designed prebiotic interventions to rebalance CD dysbiosis, with a focus on metabolism of emergent prebiotics derived from arabinoxylan and pectin. Up to 1196 and 1577 MAGs were recovered from CD and healthy people, respectively. MAGs of Akkermansia muciniphila, Barnesiella viscericola DSM 18177 and Paraprevotella xylaniphila YIT 11841 showed a wide range of unique and specific enzymes acting on arabinoxylan and pectin. These glycosidases were also found in MAGs recovered from CD patients. Interestingly, these arabinoxylan and pectin degraders are predicted to exhibit metabolic interactions with other gut microbes reduced in CD. Thus, administration of arabinoxylan and pectin may ameliorate dysbiosis in CD by promoting species with key metabolic functions, capable of cross-feeding other beneficial species. These computational methods may be of special interest for the rational design of prebiotic ingredients targeting at CD.