Literature DB >> 3100308

Simulation of the metabolism and enterohepatic circulation of endogenous chenodeoxycholic acid in man using a physiological pharmacokinetic model.

G Molino, A F Hofmann, C Cravetto, G Belforte, B Bona.   

Abstract

The metabolism and enterohepatic circulation of chenodeoxycholic acid (CDC), a major primary bile acid in man, has been stimulated using a multicompartmental physiological pharmacokinetic model which was previously reported and used to simulate the metabolism of cholic acid. The model features compartments and linear transfer coefficients. Compartments, which are defined as the pools of single chemical species in well defined anatomical volumes, are aggregated into nine 'spaces' based on anatomical and physiological considerations (liver, gall-bladder, bile ducts, duodeno-jejunum, ileum, colon, portal blood, sinusoidal blood, and general circulation). Each space contains several compartments which correspond to the compounds present in that space, for example, the compound in question and its biotransformation products. For CDC (as for cholic acid in the previous simulation) each space contains three compartments corresponding to the unconjugated bile acid, its glycine amidate, and its taurine amidate. Transfer coefficients, which denote the fractional amount of the compartment's contents exiting per unit time, are categorized according to function: flow, for example gall-bladder contraction (which involves transfer of all substances contained in the space at the same fractional rate); biotransformation (which transfers the substrate from one compartment to another within the same space); or transport (which denotes movements between contiguous compartments, belonging to different spaces across a diffusion membrane or a cellular barrier). The model is made time-dependent by incorporating meals which trigger gall-bladder emptying and modify intestinal flow. The transfer coefficients in the cholic acid model were modified for the CDC model since there is indirect evidence that CDC amidates (probably chenodeoxycholylglycine) are absorbed from the duodeno-jejunum and the first pass hepatic clearance of CDC species differs from that of cholyl species. The model was then used with all existing experimental data to simulate CDC metabolism in healthy humans over a 24-h period during which three meals were ingested. Satisfactory agreement was obtained between simulated and experimental data indicating that this model continues to be useful for describing the metabolism of bile acids and may also be of value for describing the metabolism of drugs whose metabolism is similar to that of bile acids.

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Year:  1986        PMID: 3100308     DOI: 10.1111/j.1365-2362.1986.tb01015.x

Source DB:  PubMed          Journal:  Eur J Clin Invest        ISSN: 0014-2972            Impact factor:   4.686


  8 in total

1.  Fecal bile acids, short-chain fatty acids, and bacteria after ileal pouch-anal anastomosis do not differ in patients with pouchitis.

Authors:  W J Sandborn; W J Tremaine; K P Batts; J H Pemberton; S S Rossi; A F Hofmann; G J Gores; S F Phillips
Journal:  Dig Dis Sci       Date:  1995-07       Impact factor: 3.199

2.  A Systems Model for Ursodeoxycholic Acid Metabolism in Healthy and Patients With Primary Biliary Cirrhosis.

Authors:  P Zuo; R L Dobbins; R L O'Connor-Semmes; M A Young
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-08-18

3.  Metabolic Profile of Obeticholic Acid and Endogenous Bile Acids in Rats with Decompensated Liver Cirrhosis.

Authors:  A Roda; R Aldini; C Camborata; S Spinozzi; P Franco; M Cont; A D'Errico; F Vasuri; A Degiovanni; L Maroni; L Adorini
Journal:  Clin Transl Sci       Date:  2017-05-23       Impact factor: 4.689

4.  Comparative potency of obeticholic acid and natural bile acids on FXR in hepatic and intestinal in vitro cell models.

Authors:  Yuanyuan Zhang; Carl LaCerte; Sanjay Kansra; Jonathan P Jackson; Kenneth R Brouwer; Jeffrey E Edwards
Journal:  Pharmacol Res Perspect       Date:  2017-12

5.  Modeling and Experimental Studies of Obeticholic Acid Exposure and the Impact of Cirrhosis Stage.

Authors:  J E Edwards; C LaCerte; T Peyret; N H Gosselin; J F Marier; A F Hofmann; D Shapiro
Journal:  Clin Transl Sci       Date:  2016-10-15       Impact factor: 4.689

6.  In Silico Analysis Identifies Intestinal Transit as a Key Determinant of Systemic Bile Acid Metabolism.

Authors:  Fianne L P Sips; Hannah M Eggink; Peter A J Hilbers; Maarten R Soeters; Albert K Groen; Natal A W van Riel
Journal:  Front Physiol       Date:  2018-06-08       Impact factor: 4.566

7.  A Physiology-Based Model of Bile Acid Distribution and Metabolism Under Healthy and Pathologic Conditions in Human Beings.

Authors:  Veronika Voronova; Victor Sokolov; Amani Al-Khaifi; Sara Straniero; Chanchal Kumar; Kirill Peskov; Gabriel Helmlinger; Mats Rudling; Bo Angelin
Journal:  Cell Mol Gastroenterol Hepatol       Date:  2020-02-26

8.  Model-based data analysis of individual human postprandial plasma bile acid responses indicates a major role for the gallbladder and intestine.

Authors:  Emma C E Meessen; Fianne L P Sips; Hannah M Eggink; Martijn Koehorst; Johannes A Romijn; Albert K Groen; Natal A W van Riel; Maarten R Soeters
Journal:  Physiol Rep       Date:  2020-03
  8 in total

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