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Human gut microbiota stratified by (+)-catechin metabolism dynamics reveals colon region-dependent metabolic profile
•Colon region-dependent microbiota composition and metabolic profiles.•Converter-dependent microbial composition and metabolism of (+)-catechin.•Two catechin-metabolizing bacteria were distinguished between converters and colon regions.•Long-term (+)-catechin supplementation enriched catechin-metabo...
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Published in: | Food chemistry 2023-05, Vol.408, p.135203-135203, Article 135203 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Colon region-dependent microbiota composition and metabolic profiles.•Converter-dependent microbial composition and metabolism of (+)-catechin.•Two catechin-metabolizing bacteria were distinguished between converters and colon regions.•Long-term (+)-catechin supplementation enriched catechin-metabolizing bacteria.
Catechins have proven to have several health benefits, yet a huge interindividual variability occurs. The metabolic potency of the colonic microbiota towards catechin is a key determinant of this variability. Microbiota from two donors – previously characterized as a fast and a slow converter– were incubated with (+)-catechin in vitro. The robustness of in vitro metabolic profiles was verified by well-fitted human trials. The colon region-dependent and donor-dependent patterns were reflected in both metabolic features and colonic microbiota composition. Upstream and downstream metabolites were mainly detected in the proximal and distal colons, respectively, and were considered important explanatory variables for microbiota clustering in the corresponding colon regions. Higher abundances of two catechin-metabolizing bacteria, Eggerthella and Flavonifractor were found in the distal colon compared to the proximal colon and in slow converter than fast converter. Additionally, these two bacteria were enriched in treatment samples compared to sham treatment samples. |
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ISSN: | 0308-8146 1873-7072 |
DOI: | 10.1016/j.foodchem.2022.135203 |