Jennifer Lynn Ford1, Joanne Balmer Green1, Marjorie J Haskell2, Shaikh M Ahmad3, Dora Inés Mazariegos Cordero4, Anthony Oxley5, Reina Engle-Stone2, Georg Lietz5, Michael H Green1. 1. Department of Nutritional Sciences, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA. 2. Program in International and Community Nutrition, Department of Nutrition, University of California, Davis, Davis, CA, USA. 3. International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh. 4. Laboratorio de Bioquímica Nutricional, Unidad de Nutrición y Micronutrientes, Instituto de Nutrición de Centroamérica y Panamá, Guatemala City, Guatemala. 5. Human Nutrition Research Centre, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Abstract
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. RESULTS: 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).
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. RESULTS: 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).
Authors: Georg Lietz; Harold C Furr; Bryan M Gannon; Michael H Green; Marjorie Haskell; Veronica Lopez-Teros; Janet A Novotny; Amanda C Palmer; Robert M Russell; Sherry A Tanumihardjo; Carolien A Van Loo-Bouwman Journal: Food Nutr Bull Date: 2016-04-06 Impact factor: 2.069
Authors: Anthony Oxley; Philip Berry; Gordon A Taylor; Joseph Cowell; Michael J Hall; John Hesketh; Georg Lietz; Alan V Boddy Journal: J Lipid Res Date: 2013-10-24 Impact factor: 5.922
Authors: Veronica Lopez-Teros; Jennifer Lynn Ford; Michael H Green; Guangwen Tang; Michael A Grusak; Luis Quihui-Cota; Tawanda Muzhingi; Mariela Paz-Cassini; Humberto Astiazaran-Garcia Journal: J Nutr Date: 2017-09-20 Impact factor: 4.798
Authors: Harold C Furr; Michael H Green; Marjorie Haskell; Najat Mokhtar; Penelope Nestel; Sam Newton; Judy D Ribaya-Mercado; Guangwen Tang; Sherry Tanumihardjo; Emorn Wasantwisut Journal: Public Health Nutr Date: 2005-09 Impact factor: 4.022
Authors: H C Furr; O Amedee-Manesme; A J Clifford; H R Bergen; A D Jones; D P Anderson; J A Olson Journal: Am J Clin Nutr Date: 1989-04 Impact factor: 7.045
Authors: Michael H Green; Jennifer Lynn Ford; Joanne Balmer Green; Philip Berry; Alan V Boddy; Anthony Oxley; Georg Lietz Journal: J Nutr Date: 2016-08-10 Impact factor: 4.798
Authors: Jesse Sheftel; Ashley R Valentine; Angela K Hull; Tetra Fadjarwati; Bryan M Gannon; Christopher R Davis; Sherry A Tanumihardjo Journal: Am J Clin Nutr Date: 2021-05-08 Impact factor: 7.045
Authors: Reina Engle-Stone; Jody C Miller; Maria Fatima Dolly Reario; Charles D Arnold; Ame Stormer; Eleanore Lafuente; Anthony Oxley; Mario V Capanzana; Carl Vincent D Cabanilla; Jennifer Lynn Ford; Adam Clark; Thirumalaisamy P Velavan; Kenneth H Brown; Georg Lietz; Marjorie J Haskell Journal: Curr Dev Nutr Date: 2022-07-25
Authors: Caitlin D French; Joanne E Arsenault; Charles D Arnold; Demewoz Haile; Hanqi Luo; Kevin W Dodd; Stephen A Vosti; Carolyn M Slupsky; Reina Engle-Stone Journal: Adv Nutr Date: 2021-03-31 Impact factor: 8.701
Authors: Anthony Oxley; Reina Engle-Stone; Jody C Miller; M F Dolly Reario; Ame Stormer; Mario V Capanzana; Carl V D Cabanilla; Marjorie J Haskell; Georg Lietz Journal: J Nutr Date: 2021-05-11 Impact factor: 4.798