<HashMap><database>BioModels</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Pdf>https://www.ebi.ac.uk/biomodels/model/download/MODEL2411290001?filename=green24.pdf</Pdf><Svg>https://www.ebi.ac.uk/biomodels/model/download/MODEL2411290001?filename=green24.svg</Svg><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL2411290001?filename=green24.xml</Xml></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Kieran Smallbone</submitter><curationStatus>Non-curated</curationStatus><modellingApproach>ordinary differential equation model</modellingApproach><levelVersion>L3V2</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/MODEL2411290001</full_dataset_link><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Green et al, 2024</tokenised_name><publication_year>2024</publication_year><submissionId>MODEL2411290001</submissionId><publication_authors>Michael H Green</publication_authors><first_author>Michael H Green</first_author><publication>10.1016/j.cdnut.2024.104484,
                            Background
Limited data are available on vitamin A kinetics and total body stores (TBS) in women. Such information can be obtained using compartmental modeling and retinol isotope dilution (RID).

Objectives
Objectives were to apply population-based (“super-subject”) modeling to determine retinol kinetics in nonpregnant Ghanaian women of reproductive age and to use RID to predict TBS in the group and its individuals.

Methods
Women (n = 89) ingested a dose of [2H6]retinyl acetate and blood samples (3/woman) were collected from 6 h to 91 d, with all participants sampled at 14 d, about half at either 21 or 28 d, and each at one other time. Composite data (plasma retinol fraction of dose; FDp) were analyzed using Simulation, Analysis and Modeling software to obtain kinetic parameters, TBS, and other state variables as well as model-derived values for the RID composite coefficient FaS. The latter were used in the RID equation TBS (μmol) = FaS × 1/SAp (where SAp is plasma retinol specific activity) to predict TBS at various times.

Results
Model-predicted TBS was 973 μmol (n = 87). Geometric mean RID-predicted TBS was 965, 926, and 1006 μmol at 14, 21, and 28 d, respectively, with wide ranges [for example, 252–3848 μmol on day 14 (n = 86)]; TBS predictions were similar at later times. Participants had a mean 2 y of vitamin A in stores and estimated liver vitamin A concentrations in the normal range. Model-predicted vitamin A disposal rate was 1.3 μmol/d and plasma recycling number was 37.

Conclusions
Super-subject modeling provides an estimate of group mean TBS as well as group-specific values for the RID coefficient FaS; the latter can be used to confidently predict TBS by RID for individual participants in the group under study or in similar individuals at 14 d or more after isotope ingestion.. 11, 8.
                            Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States</publication><submitter_mail>kieran.smallbone@ncl.ac.uk</submitter_mail><publication_doi>10.1016/j.cdnut.2024.104484</publication_doi><submitter_affiliation>Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, UK.</submitter_affiliation></additional><is_claimable>false</is_claimable><name>Green et al, 2024</name><description>No description</description><dates><last_modification>2026-06-04</last_modification><publication>2025-03-31</publication><submission>2024-11-29</submission></dates><accession>MODEL2411290001</accession><cross_references><chebi>CHEBI:50211</chebi><mamo>MAMO:0000045</mamo><biomodels__db>MODEL2411290001</biomodels__db><taxonomy>9606</taxonomy><doi>10.1016/j.cdnut.2024.104484</doi></cross_references></HashMap>