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A physiologically based model of bile acid metabolism in mice

新陈代谢 肝肠循环 生物 背景(考古学) 运输机 体内 生物化学 遗传学 基因 古生物学
作者
Bastian Kister,Alina Viehof,Ulrike Rolle-Kampczyk,Annika Schwentker,Nicole Treichel,Susan Jennings,Theresa H. Wirtz,Lars M. Blank,Mathias Hornef,Martin von Bergen,Thomas Clavel,Lars Kuepfer
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:1
标识
DOI:10.1101/2022.11.10.515857
摘要

Abstract Bile acid (BA) metabolism is a complex system that includes a wide variety of primary and secondary, as well as conjugated and unconjugated BAs that undergo continuous enterohepatic circulation (EHC). Alterations in both composition and dynamics of BAs have been associated with various diseases. However, a mechanistic understanding of the relationship between altered BA metabolism and related diseases is lacking. Computational modeling may support functional analyses of the physiological processes involved in the EHC of BAs along the gut-liver axis. In this study, we developed a physiologically-based model of murine BA metabolism describing synthesis, conjugation, microbial transformations, systemic distribution, excretion and EHC of BAs at the whole-body level. For model development, BA metabolism of specific pathogen-free (SPF) mice was characterized in vivo by measuring BA levels and composition in various organs, expression of transporters along the gut and cecal microbiota composition. We found significantly different BA levels between male and female mice that could only be explained by adjusted expression of the hepatic enzymes and transporters in the model. Of note, this finding was in agreement with experimental observations. The model for SPF mice could also describe equivalent experimental data in germ-free mice by specifically switching of microbial activity in the intestine. The here presented model can therefore facilitate and guide functional analyses of BA metabolism in mice, e.g., the effect of pathophysiological alterations on BA metabolism and translation of results from mouse studies to a clinically relevant context through cross-species extrapolation.
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