Georg Lietz1, Harold C Furr2, Bryan M Gannon2, Michael H Green3, Marjorie Haskell4, Veronica Lopez-Teros5, Janet A Novotny6, Amanda C Palmer7, Robert M Russell8, Sherry A Tanumihardjo2, Carolien A Van Loo-Bouwman9. 1. Newcastle University, Newcastle, United Kingdom georg.lietz@ncl.ac.uk. 2. University of Wisconsin-Madison, Madison, WI, USA. 3. Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA. 4. Program in International and Community Nutrition and Department of Nutrition, University of California, Davis, CA, USA. 5. Universidad de Sonora, Hermosillo, Mexico. 6. Beltsville Human Nutrition Research Center, United States Department of Agriculture, Beltsville, MD, USA. 7. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. 8. Tufts University, Boston, MA, USA. 9. Radboud University Medical Center, Nijmegen, the Netherlands.
Abstract
BACKGROUND: Retinol isotope dilution (RID) methodology provides a quantitative estimate of total body vitamin A (VA) stores and is the best method currently available for assessing VA status in adults and children. The methodology has also been used to test the efficacy of VA interventions in a number of low-income countries. Infections, micronutrient deficiencies (eg, iron and zinc), liver disease, physiological age, pregnancy, and lactation are known or hypothesized to influence the accuracy of estimating total body VA stores using the isotope dilution technique. OBJECTIVE: Our objectives were to review the strengths and limitations of RID methods, to discuss what is known about the impact of various factors on results, and to summarize contributions of model-based compartmental analysis to assessing VA status. METHODS: Relevant published literature is reviewed and discussed. RESULTS: Various equations and compartmental modeling have been used to estimate the total body VA stores using stable isotopes, including a newer 3-day equation that provides an estimate of total body VA stores in healthy adults. At present, there is insufficient information on absorption of the isotope tracer, and there is a need to further investigate how various factors impact the application of RID techniques in field studies. CONCLUSIONS: Isotope dilution methodology can provide useful estimates of total body VA stores in apparently healthy populations under controlled study conditions. However, more research is needed to determine whether the method is suitable for use in settings where there is a high prevalence of infection, iron deficiency, and/or liver disease.
BACKGROUND:Retinolisotope dilution (RID) methodology provides a quantitative estimate of total body vitamin A (VA) stores and is the best method currently available for assessing VA status in adults and children. The methodology has also been used to test the efficacy of VA interventions in a number of low-income countries. Infections, micronutrient deficiencies (eg, iron and zinc), liver disease, physiological age, pregnancy, and lactation are known or hypothesized to influence the accuracy of estimating total body VA stores using the isotope dilution technique. OBJECTIVE: Our objectives were to review the strengths and limitations of RID methods, to discuss what is known about the impact of various factors on results, and to summarize contributions of model-based compartmental analysis to assessing VA status. METHODS: Relevant published literature is reviewed and discussed. RESULTS: Various equations and compartmental modeling have been used to estimate the total body VA stores using stable isotopes, including a newer 3-day equation that provides an estimate of total body VA stores in healthy adults. At present, there is insufficient information on absorption of the isotope tracer, and there is a need to further investigate how various factors impact the application of RID techniques in field studies. CONCLUSIONS:Isotope dilution methodology can provide useful estimates of total body VA stores in apparently healthy populations under controlled study conditions. However, more research is needed to determine whether the method is suitable for use in settings where there is a high prevalence of infection, iron deficiency, and/or liver disease.
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
Authors: Madhulika Chaudhary-Webb; Rosemary L Schleicher; Juergen G Erhardt; Elizabeth C Pendergrast; Christine M Pfeiffer Journal: J Appl Lab Med Date: 2019-03-11
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: 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