<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/MODEL2312190001?filename=ford20.pdf</Pdf><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL2312190001?filename=ford20.xml</Xml><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL2312190001?filename=ford20_sedml.xml</Xml><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL2312190001?filename=ford20.saam</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Kieran Smallbone</submitter><curationStatus>Non-curated</curationStatus><modellingApproach>differential equation model</modellingApproach><levelVersion>L3V2</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/MODEL2312190001</full_dataset_link><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Ford2020   whole body vitamin A metabolism in humans</tokenised_name><publication_year>2020</publication_year><submissionId>MODEL2312190001</submissionId><publication_authors>Jennifer Lynn Ford, Joanne Balmer Green, Marjorie J Haskell, Shaikh M Ahmad, Dora Inés Mazariegos Cordero, Anthony Oxley, Reina Engle-Stone, Georg Lietz, Michael H Green</publication_authors><first_author>Jennifer Lynn Ford</first_author><publication>10.1093/jn/nxz225,
                            Background

Model-based compartmental analysis has been used to describe and quantify whole-body vitamin A metabolism and estimate total body stores (TBS) in animals and humans.

Objectives

We applied compartmental modeling and a super-child design to estimate retinol kinetic parameters and TBS for young children in Bangladesh, Guatemala, and the Philippines.

Methods

Children ingested [13C10]retinyl acetate and 1 or 2 blood samples were collected from each child from 6 h to 28 d after dosing. Temporal data for fraction of dose in plasma [13C10]retinol were modeled using WinSAAM software and a 6-component model with vitamin A intake included as weighted data.&lt;h4>Results&lt;/h4>Model-predicted TBS was 198, 533, and 1062 μmol for the Bangladeshi (age, 9-17 mo), Filipino (12-18 mo), and Guatemalan children (35-65 mo). Retinol kinetics were similar for Filipino and Guatemalan groups and generally faster for Bangladeshi children, although fractional transfer of plasma retinol to a larger exchangeable storage pool was the same for the 3 groups. Recycling to plasma from that pool was ∼2.5 times faster in the Bangladeshi children compared with the other groups and the recycling number was 2-3 times greater. Differences in kinetics between groups are likely related to differences in vitamin A stores and intakes (geometric means: 352, 727, and 764 μg retinol activity equivalents/d for the Bangladeshi, Filipino, and Guatemalan children, respectively).

Conclusions

By collecting 1 or 2 blood samples from each child to generate a composite plasma tracer data set with a minimum of 5 children/time, group TBS and retinol kinetics can be estimated in children by compartmental analysis; inclusion of vitamin A intake data increases confidence in model predictions. The super-child modeling approach is an effective technique for comparing vitamin A status among children from different populations. These trials were registered at www.clinicaltrials.gov as NCT03000543 (Bangladesh), NCT03345147 (Guatemala), and NCT03030339 (Philippines).. 2, 150.
                            Pennsylvania State University</publication><submitter_mail>kieran.smallbone@ncl.ac.uk</submitter_mail><publication_doi>10.1093/jn/nxz225</publication_doi><submitter_affiliation>Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, UK.</submitter_affiliation></additional><is_claimable>false</is_claimable><name>Ford2020 - whole-body vitamin A metabolism in humans</name><description>No description</description><dates><last_modification>2024-05-22</last_modification><publication>2024-03-01</publication><submission>2023-12-19</submission></dates><accession>MODEL2312190001</accession><cross_references><chebi>CHEBI:50211</chebi><mamo>MAMO:0000045</mamo><mamo>MAMO:0000046</mamo><biomodels__db>MODEL2312190001</biomodels__db><go>GO:0006776</go><taxonomy>9606</taxonomy><doi>10.1093/jn/nxz225</doi></cross_references></HashMap>