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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).
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http://dx.doi.org/10.1093/jn/nxz225 | DOI Listing |
Nutr J
September 2025
Department of Life Sciences, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, 412 96, Sweden.
Background: Avenanthramides (AVAs) and Avenacosides (AVEs) are unique to oats (Avena Sativa) and may serve as biomarkers of oat intake. However, information regarding their validity as food intake biomarkers is missing. We aimed to investigate critical validation parameters such as half-lives, dose-response, matrix effects, relative bioavailability under single dose, and in relation to the abundance of Feacalibacterium prausnitzii, and under repeated dosing, to understand the potential applications of AVAs and AVEs as biomarkers of oat intake.
View Article and Find Full Text PDFNucl Med Biol
August 2025
Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
Background: Glutamine is an important metabolic substrate in many aggressive tumors, with comparable importance to glucose metabolism. Utilizing human breast cancer mouse xenograft models, we studied the kinetics of the PET imaging agent, L-5-[C]-glutamine ([C]glutamine or [C]GLN) a biochemical authentic substrate for glutamine metabolism, to further characterize the metabolism of glutamine and downstream labeled metabolites. Studies were performed with and without inhibition of the enzyme, glutaminase (GLS), the first step in glutamine catabolism that generates glutamate, and key target for therapy directed to glutamine-metabolizing cancers.
View Article and Find Full Text PDFFood Res Int
November 2025
Department of Agricultural, Forest and Food Sciences, University of Turin, Largo Braccini 2, 10095 Grugliasco, Italy; Interdepartmental Centre for Grapevines and Wine Sciences, University of Turin, Corso Enotria 2/C, 12051 Alba, Italy. Electronic address:
Microorganisms colonizing grapevines possess diverse functional capabilities that influence the health, growth, productivity and, consequently, wine quality. In this study, spatial and temporal dynamics of the microbiome of Vitis vinifera cv. Barbera grapevine were determined by shotgun sequencing.
View Article and Find Full Text PDFAnn Intern Med
September 2025
Johns Hopkins University School of Medicine, Baltimore, Maryland (M.S., J.J., K.A.G., M.S., A.T.F.).
Background: With antiretroviral therapy, people with HIV can live a normal lifespan and not transmit HIV. The Ryan White HIV/AIDS Program provides care for over half of people with HIV in the United States.
Objective: To estimate how many HIV infections could result from cessation of Ryan White services or interruptions lasting 18 to 42 months.
PLoS Comput Biol
September 2025
Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Compartmental infectious disease models are used to calculate disease transmission, estimate underlying rates, forecast future burden, and compare benefits across intervention scenarios. These models aggregate individuals into compartments, often stratified by characteristics to represent groups that might be intervention targets or otherwise of particular concern. Ideally, model calculation could occur at the most demanding resolution for the overall analysis, but this may be infeasible due to availability of computational resources or empirical data.
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