Literature DB >> 28931584

Use of a "Super-child" Approach to Assess the Vitamin A Equivalence of Moringa oleifera Leaves, Develop a Compartmental Model for Vitamin A Kinetics, and Estimate Vitamin A Total Body Stores in Young Mexican Children.

Veronica Lopez-Teros1, Jennifer Lynn Ford2, Michael H Green2, Guangwen Tang3, Michael A Grusak4, Luis Quihui-Cota5, Tawanda Muzhingi6, Mariela Paz-Cassini5, Humberto Astiazaran-Garcia7.   

Abstract

Background: Worldwide, an estimated 250 million children <5 y old are vitamin A (VA) deficient. In Mexico, despite ongoing efforts to reduce VA deficiency, it remains an important public health problem; thus, food-based interventions that increase the availability and consumption of provitamin A-rich foods should be considered.Objective: The objectives were to assess the VA equivalence of 2H-labeled Moringa oleifera (MO) leaves and to estimate both total body stores (TBS) of VA and plasma retinol kinetics in young Mexican children.
Methods: β-Carotene was intrinsically labeled by growing MO plants in a 2H2O nutrient solution. Fifteen well-nourished children (17-35 mo old) consumed puréed MO leaves (1 mg β-carotene) and a reference dose of [13C10]retinyl acetate (1 mg) in oil. Blood (2 samples/child) was collected 10 times (2 or 3 children each time) over 35 d. The bioefficacy of MO leaves was calculated from areas under the composite "super-child" plasma isotope response curves, and MO VA equivalence was estimated through the use of these values; a compartmental model was developed to predict VA TBS and retinol kinetics through the use of composite plasma [13C10]retinol data. TBS were also estimated with isotope dilution.
Results: The relative bioefficacy of β-carotene retinol activity equivalents from MO was 28%; VA equivalence was 3.3:1 by weight (0.56 μmol retinol:1 μmol β-carotene). Kinetics of plasma retinol indicate more rapid plasma appearance and turnover and more extensive recycling in these children than are observed in adults. Model-predicted mean TBS (823 μmol) was similar to values predicted using a retinol isotope dilution equation applied to data from 3 to 6 d after dosing (mean ± SD: 832 ± 176 μmol; n = 7).Conclusions: The super-child approach can be used to estimate population carotenoid bioefficacy and VA equivalence, VA status, and parameters of retinol metabolism from a composite data set. Our results provide initial estimates of retinol kinetics in well-nourished young children with adequate VA stores and demonstrate that MO leaves may be an important source of VA.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  bioefficacy; compartmental analysis; retinol isotope dilution; retinol kinetics; β-carotene bioconversion

Mesh:

Substances:

Year:  2017        PMID: 28931584     DOI: 10.3945/jn.117.256974

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  20 in total

1.  Retinol isotope dilution accurately predicts liver reserves in piglets but overestimates reserves in lactating sows.

Authors:  Jesse Sheftel; Rebecca L Surles; Sherry A Tanumihardjo
Journal:  Exp Biol Med (Maywood)       Date:  2019-03-19

2.  Better Predictions of Vitamin A Total Body Stores by the Retinol Isotope Dilution Method Are Possible with Deeper Understanding of the Mathematics and by Applying Compartmental Modeling.

Authors:  Michael H Green; Joanne Balmer Green; Jennifer Lynn Ford
Journal:  J Nutr       Date:  2020-05-01       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

4.  Use of Model-Based Compartmental Analysis and a Super-Child Design to Study Whole-Body Retinol Kinetics and Vitamin A Total Body Stores in Children from 3 Lower-Income Countries.

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
Journal:  J Nutr       Date:  2020-02-01       Impact factor: 4.798

5.  Prediction of Vitamin A Stores in Young Children Provides Insights into the Adequacy of Current Dietary Reference Intakes.

Authors:  Jennifer Lynn Ford; Veronica Lopez-Teros
Journal:  Curr Dev Nutr       Date:  2020-07-13

6.  Filipino Children with High Usual Vitamin A Intakes and Exposure to Multiple Sources of Vitamin A Have Elevated Total Body Stores of Vitamin A But Do Not Show Clear Evidence of Vitamin A Toxicity.

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

7.  Liver retinol estimated by 13C-retinol isotope dilution at 7 versus 14 days in Burkinabe schoolchildren.

Authors:  Jean F Bationo; Augustin N Zeba; Nadine D Coulibaly; Jesse Sheftel; Christopher R Davis; Imael H N Bassole; Nicolas Barro; Jean B Ouedraogo; Sherry A Tanumihardjo
Journal:  Exp Biol Med (Maywood)       Date:  2019-09-23

8.  Use of Model-Based Compartmental Analysis and Theoretical Data to Further Explore Choice of Sampling Time for Assessing Vitamin A Status in Groups and Individual Human Subjects by the Retinol Isotope Dilution Method.

Authors:  Michael H Green; Joanne Balmer Green
Journal:  J Nutr       Date:  2021-07-01       Impact factor: 4.798

Review 9.  Bioactive Components in Moringa Oleifera Leaves Protect against Chronic Disease.

Authors:  Marcela Vergara-Jimenez; Manal Mused Almatrafi; Maria Luz Fernandez
Journal:  Antioxidants (Basel)       Date:  2017-11-16

10.  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
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