{"database":"BioModels","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Pdf":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2411290001?filename=green24.pdf"],"Svg":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2411290001?filename=green24.svg"],"Xml":["https://www.ebi.ac.uk/biomodels/model/download/MODEL2411290001?filename=green24.xml"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"submitter":["Kieran Smallbone"],"curationStatus":["Non-curated"],"modellingApproach":["ordinary differential equation model"],"levelVersion":["L3V2"],"full_dataset_link":["https://www.ebi.ac.uk/biomodels/MODEL2411290001"],"isPrivate":["false"],"repository":["BioModels"],"modelFormat":["SBML"],"omics_type":["Models"],"tokenised_name":["Green et al, 2024"],"publication_year":["2024"],"submissionId":["MODEL2411290001"],"publication_authors":["Michael H Green"],"first_author":["Michael H Green"],"publication":["10.1016/j.cdnut.2024.104484,\n                            Background\nLimited 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).\n\nObjectives\nObjectives 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.\n\nMethods\nWomen (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.\n\nResults\nModel-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.\n\nConclusions\nSuper-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.\n                            Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States"],"submitter_mail":["kieran.smallbone@ncl.ac.uk"],"publication_doi":["10.1016/j.cdnut.2024.104484"],"submitter_affiliation":["Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, UK."],"additional_accession":[]},"is_claimable":false,"name":"Green et al, 2024","description":"No description","dates":{"last_modification":"2026-06-04","publication":"2025-03-31","submission":"2024-11-29"},"accession":"MODEL2411290001","cross_references":{"chebi":["CHEBI:50211"],"mamo":["MAMO:0000045"],"biomodels__db":["MODEL2411290001"],"taxonomy":["9606"],"doi":["10.1016/j.cdnut.2024.104484"]}}