Literature DB >> 9781391

Development of a compartmental model describing the dynamics of vitamin A metabolism in men.

D von Reinersdorff1, M H Green, J B Green.   

Abstract

Model-based compartmental analysis was used with the Simulation, Analysis and Modeling (SAAM) computer programs to analyze data on plasma retinoid kinetics in adult male subjects for 7 d after a single oral dose of 105 mumol of [8,9,19-13C]retinyl palmitate. We present here the data for one subject and discuss in detail the steps taken to develop a physiologically-based compartmental model that describes the dynamic behavior of plasma retinyl esters, [12C]retinol, [8,9,19-13C]retinol, and the sum of [12C] and [13C]retinol. First an absorption model was developed to fit data on the plasma appearance and disappearance of retinyl esters; this was used as input in development of models for labeled and unlabeled retinol. The large oral load of labeled vitamin A perturbed the unlabeled tracee system, and thus parallel models for tracer and tracee were developed; and a time-variant fractional transfer coefficient was incorporated into the tracee model. Following the absorption model, four-compartment models were developed to describe the dynamics of both labeled and unlabeled retinol. These models predict that, in spite of the large vitamin A load, the absorption efficiency was 34%; hepatic (presumably parenchymal cell) processing of the absorbed dose was essentially complete by 24 h; and, by 7 days, approximately 80% of the absorbed dose was in a compartment that presumably represents stored liver retinyl esters. The model also predicts that approximately 50 mumol of retinol passed through the plasma each day, compared to an estimated utilization rate of 4 mumol/day. This project provides unique and important information about whole-body vitamin A dynamic in humans, and presents approaches to specific modeling issues that may be encountered by others.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9781391     DOI: 10.1007/978-1-4899-1959-5_13

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  9 in total

1.  Use of laboratory studies for the design, explanation, and validation of human micronutrient intervention studies.

Authors:  A Catharine Ross
Journal:  J Nutr       Date:  2011-11-16       Impact factor: 4.798

2.  Development of a Compartmental Model to Investigate the Influence of Inflammation on Predictions of Vitamin A Total Body Stores by Retinol Isotope Dilution in Theoretical Humans.

Authors:  Michael H Green; Jennifer Lynn Ford; Joanne Balmer Green
Journal:  J Nutr       Date:  2021-03-11       Impact factor: 4.798

3.  Duration of Retinol Isotope Dilution Studies with Compartmental Modeling Affects Model Complexity, Kinetic Parameters, and Calculated Vitamin A Stores in US Women.

Authors:  Bryan M Gannon; Ashley R Valentine; Christopher R Davis; Julie A Howe; Sherry A Tanumihardjo
Journal:  J Nutr       Date:  2018-08-01       Impact factor: 4.798

Review 4.  Hepatic metabolism of retinoids and disease associations.

Authors:  Yohei Shirakami; Seung-Ah Lee; Robin D Clugston; William S Blaner
Journal:  Biochim Biophys Acta       Date:  2011-07-01

5.  Orally ingested (13)C(2)-retinol is incorporated into hepatic retinyl esters in a nonhuman primate (Macaca mulatta) model of hypervitaminosis A.

Authors:  Anne L Escaron; Sherry A Tanumihardjo
Journal:  Comp Med       Date:  2010-02       Impact factor: 0.982

6.  Plasma turnover of 3,4-didehydroretinol (vitamin A2) increases in vitamin A-deficient rats fed low versus high dietary fat.

Authors:  Anne L Escaron; Michael H Green; Sherry A Tanumihardjo
Journal:  J Lipid Res       Date:  2008-11-30       Impact factor: 5.922

7.  13C natural abundance in serum retinol acts as a biomarker for increases in dietary provitamin A.

Authors:  Julie A Howe; Ashley R Valentine; Angela K Hull; Sherry A Tanumihardjo
Journal:  Exp Biol Med (Maywood)       Date:  2008-12-30

8.  Inclusion of Vitamin A Intake Data Provides Improved Compartmental Model-Derived Estimates of Vitamin A Total Body Stores and Disposal Rate in Older Adults.

Authors:  Michael H Green; Jennifer Lynn Ford; Joanne Balmer Green
Journal:  J Nutr       Date:  2019-07-01       Impact factor: 4.798

9.  A Population-Based (Super-Child) Approach for Predicting Vitamin A Total Body Stores and Retinol Kinetics in Children Is Validated by the Application of Model-Based Compartmental Analysis to Theoretical Data.

Authors:  Jennifer Lynn Ford; Joanne Balmer Green; Michael H Green
Journal:  Curr Dev Nutr       Date:  2018-11-24
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.