VITAMIN A VALUES OF WILD-CAUGHT CUBAN TREE FROGS (OSTEOPILUS SEPTENTRIONALIS) AND MARINE TOADS (RHINELLA MARINA) IN WHOLE BODY, LIVER, AND SERUM

2014 ◽  
Vol 45 (4) ◽  
pp. 892-895 ◽  
Author(s):  
Kathleen E. Sullivan ◽  
Greg Fleming ◽  
Scott Terrell ◽  
Dustin Smith ◽  
Frank Ridgley ◽  
...  
Zoo Biology ◽  
2021 ◽  
Author(s):  
Tarra Freel ◽  
Elizabeth Koutsos ◽  
Larry J. Minter ◽  
Troy Tollefson ◽  
Frank Ridgley ◽  
...  

2020 ◽  
Vol 150 (6) ◽  
pp. 1644-1651 ◽  
Author(s):  
Veronica Lopez-Teros ◽  
Jennifer L Ford ◽  
Michael H Green ◽  
Brianda Monreal-Barraza ◽  
Lilian García-Miranda ◽  
...  

ABSTRACT Background Retinol isotope dilution (RID) and model-based compartmental analysis are recognized techniques for assessing vitamin A (VA) status. Recent studies have shown that RID predictions of VA total body stores (TBS) can be improved by using modeling and that VA kinetics and TBS in children can be effectively studied by applying population modeling (“super-child” approach) to a composite data set. Objectives The objectives were to model whole-body retinol kinetics and predict VA TBS in a group of Mexican preschoolers using the super-child approach and to use model predictions of RID coefficients to estimate TBS by RID in individuals. Methods Twenty-four healthy Mexican children (aged 3–6 y) received an oral dose (2.96 μmol) of [13C10]retinyl acetate in corn oil. Blood samples were collected from 8 h to 21 d after dosing, with each child sampled at 4 d and at 1 other time. Composite data for plasma labeled retinol compared with time were analyzed using a 6-component model to obtain group retinol kinetic parameters and pool sizes. Model-predicted TBS was compared with mean RID predictions at 4 d; RID estimates at 4 d were compared with those calculated at 7–21 d. Results Model-predicted TBS was 1097 μmol, equivalent to ∼2.4 y-worth of VA; using model-derived coefficients, group mean RID-predicted TBS was 1096 μmol (IQR: 836–1492 μmol). TBS at 4 d compared with a later time was similar (P = 0.33). The model predicted that retinol spent 1.5 h in plasma during each transit and recycled to plasma 13 times before utilization. Conclusions The super-child modeling approach provides information on whole-body VA kinetics and can be used with RID to estimate TBS at any time between 4 and 21 d postdose. The high TBS predicted for these children suggests positive VA balance, likely due to large-dose VA supplements, and warrants further investigation.


2005 ◽  
Vol 135 (4) ◽  
pp. 746-752 ◽  
Author(s):  
Christopher J. Cifelli ◽  
Joanne Balmer Green ◽  
Michael H. Green

2014 ◽  
Vol 55 (8) ◽  
pp. 1738-1749 ◽  
Author(s):  
Libo Tan ◽  
Amanda E. Wray ◽  
Michael H. Green ◽  
A. Catharine Ross

2013 ◽  
Vol 111 (6) ◽  
pp. 968-978 ◽  
Author(s):  
Michael R. La Frano ◽  
Chenghao Zhu ◽  
Betty J. Burri

There is a general lack of knowledge regarding the absorption and tissue storage of the provitamin A carotenoid β-cryptoxanthin. The present study investigated the whole-body tissue distribution of β-cryptoxanthin in an appropriate small animal model, the Mongolian gerbil (Meriones unguiculatus), for human provitamin A carotenoid metabolism. After 5 d of carotenoid depletion, five gerbils were euthanised for baseline measurements. The remaining gerbils were placed in three weight-matched treatment groups (n 8). All the groups received 20 μg/d of β-cryptoxanthin from tangerine concentrate, while the second and third groups received an additional 20 and 40 μg/d of pure β-cryptoxanthin (CX40 and CX60), respectively, for 21 d. During the last 2 d of the study, urine and faecal samples of two gerbils from each treatment group were collected. β-Cryptoxanthin was detected in the whole blood, and in twelve of the fourteen tissues analysed. Most tissues resembled the liver, in which the concentrations of β-cryptoxanthin were significantly higher in the CX60 (17·8 (sem 0·7) μg/organ; P= 0·004) and CX40 (16·2 (sem 0·9) μg/organ; P= 0·006) groups than in the CX20 group (13·3 (sem 0·4) μg/organ). However, in intestinal tissues, the concentrations of β-cryptoxanthin increased only in the CX60 group. Despite elevated vitamin A concentrations in tissues at baseline due to pre-study diets containing high levels of vitamin A, β-cryptoxanthin maintained those vitamin A stores. These results indicate that β-cryptoxanthin is stored in many tissues, potentially suggesting that its functions are widespread.


2019 ◽  
Vol 150 (5) ◽  
pp. 989-993 ◽  
Author(s):  
Michael H Green ◽  
Joanne Balmer Green ◽  
Jennifer Lynn Ford

ABSTRACT Retinol isotope dilution (RID) is a well-accepted technique for assessing vitamin A status [i.e., total body stores (TBS)]. Here, in an effort to increase understanding of the method, we briefly review RID equations and discuss their included variables and their coefficients (i.e., assumptions that account for the efficiency of absorption of an orally administered tracer dose of vitamin A, mixing of the dose with endogenous vitamin A, and loss due to utilization). Then, we focus on contributions of another technique, model-based compartmental analysis and especially the “super-person” approach, that advance the RID method. Specifically, we explain how adding this modeling component, which involves taking 1 additional blood sample from each subject, provides population-specific estimates for the RID coefficients that can be used in the equation instead of values derived from the literature; using model-derived RID coefficients results in improved confidence in predictions of TBS for both a group and its individuals. We note that work is still needed to identify the optimal time for applying RID in different groups and to quantify vitamin A absorption efficiency. Finally, we mention other contributions of modeling, including the use of theoretical data to verify the accuracy of RID predictions and the additional knowledge that model-based compartmental analysis provides about whole-body vitamin A kinetics.


2011 ◽  
Vol 141 (3) ◽  
pp. 428-432 ◽  
Author(s):  
Marjorie J. Haskell ◽  
Kazi M. Jamil ◽  
Janet M. Peerson ◽  
Mohammed A. Wahed ◽  
Kenneth H. Brown

2016 ◽  
Vol 37 (2_suppl) ◽  
pp. S87-S103 ◽  
Author(s):  
Georg Lietz ◽  
Harold C. Furr ◽  
Bryan M. Gannon ◽  
Michael H. Green ◽  
Marjorie Haskell ◽  
...  

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