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An in vitro model for microbial fructoselysine degradation shows substantial interindividual differences in metabolic capacities of human fecal slurries. | LitMetric

An in vitro model for microbial fructoselysine degradation shows substantial interindividual differences in metabolic capacities of human fecal slurries.

Toxicol In Vitro

Division of Toxicology, Wageningen University and Research, P.O. Box 8000, 6700 EA Wageningen, the Netherlands; Wageningen Food Safety Research (WFSR), part of Wageningen University and Research, P.O. Box 230, 6700 AE Wageningen, the Netherlands.

Published: April 2021

Fructoselysine is formed upon heating during processing of food products, and being a key intermediate in advanced glycation end product formation considered to be potentially hazardous to human health. Human gut microbes can degrade fructoselysine to yield the short chain fatty acid butyrate. However, quantitative information on these biochemical reactions is lacking, and interindividual differences therein are not well established. Anaerobic incubations with pooled and individual human fecal slurries were optimized and applied to derive quantitative kinetic information for these biochemical reactions. Of 16 individuals tested, 11 were fructoselysine metabolizers, with V, K and kcat-values varying up to 14.6-fold, 9.5-fold, and 4.4-fold, respectively. Following fructoselysine exposure, 10 of these 11 metabolizers produced significantly increased butyrate concentrations, varying up to 8.6-fold. Bacterial taxonomic profiling of the fecal samples revealed differential abundant taxa for these reactions (e.g. families Ruminococcaceae, Christenellaceae), and Ruminococcus_1 showed the strongest correlation with fructoselysine degradation and butyrate production (ρ ≥ 0.8). This study highlights substantial interindividual differences in gut microbial degradation of fructoselysine. The presented method allows for quantification of gut microbial degradation kinetics for foodborne xenobiotics, and interindividual differences therein, which can be used to refine prediction of internal exposure.

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Source
http://dx.doi.org/10.1016/j.tiv.2021.105078DOI Listing

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