Cargando…

Prediction of Methionine and Homocysteine levels in Zucker diabetic fatty (ZDF) rats as a T2DM animal model after consumption of a Methionine-rich diet

BACKGROUND: Although alterations in the methionine metabolism cycle (MMC) have been associated with vascular complications of diabetes, there have not been consistent results about the levels of methionine and homocysteine in type 2 diabetes mellitus (T2DM). The aim of the current study was to predi...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Nayoung, Chae, Jung-woo, Jeon, Jihyun, Lee, Jaeyeon, Back, Hyun-moon, Song, Byungjeong, Kwon, Kwang-il, Kim, Sang Kyum, Yun, Hwi-yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807833/
https://www.ncbi.nlm.nih.gov/pubmed/29449868
http://dx.doi.org/10.1186/s12986-018-0247-1
_version_ 1783299354841317376
author Han, Nayoung
Chae, Jung-woo
Jeon, Jihyun
Lee, Jaeyeon
Back, Hyun-moon
Song, Byungjeong
Kwon, Kwang-il
Kim, Sang Kyum
Yun, Hwi-yeol
author_facet Han, Nayoung
Chae, Jung-woo
Jeon, Jihyun
Lee, Jaeyeon
Back, Hyun-moon
Song, Byungjeong
Kwon, Kwang-il
Kim, Sang Kyum
Yun, Hwi-yeol
author_sort Han, Nayoung
collection PubMed
description BACKGROUND: Although alterations in the methionine metabolism cycle (MMC) have been associated with vascular complications of diabetes, there have not been consistent results about the levels of methionine and homocysteine in type 2 diabetes mellitus (T2DM). The aim of the current study was to predict changes in plasma methionine and homocysteine concentrations after simulated consumption of methionine-rich foods, following the development of a mathematical model for MMC in Zucker Diabetic Fatty (ZDF) rats, as a representative T2DM animal model. METHOD: The model building and simulation were performed using NONMEM® (ver. 7.3.0) assisted by Perl-Speaks-NONMEM (PsN, ver. 4.3.0). Model parameters were derived using first-order conditional estimation method with interactions permitted among the parameters (FOCE-INTER). NCA was conducted using Phoenix (ver. 6.4.0). For all tests, we considered a P-value < 0.05 to reflect statistical significance. RESULTS: Our model featured seven compartments that considered all parts of the cycle by applying non-linear mixed effects model. Conversion of S-adenosyl-L-homocysteine (SAH) to homocysteine increased and the metabolism of homocysteine was reduced under diabetic conditions, and consequently homocysteine accumulated in the elimination phase. Using our model, we performed simulations to compare the changes in plasma methionine and homocysteine concentrations between ZDF and normal rats, by multiple administrations of the methionine-rich diet of 1 mmol/kg, daily for 60 days. The levels of methionine and homocysteine were elevated approximately two- and three-fold, respectively, in ZDF rats, while there were no changes observed in the normal control rats. CONCLUSION: These results can be interpreted to mean that both methionine and homocysteine will accumulate in patients with T2DM, who regularly consume high-methionine foods.
format Online
Article
Text
id pubmed-5807833
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-58078332018-02-15 Prediction of Methionine and Homocysteine levels in Zucker diabetic fatty (ZDF) rats as a T2DM animal model after consumption of a Methionine-rich diet Han, Nayoung Chae, Jung-woo Jeon, Jihyun Lee, Jaeyeon Back, Hyun-moon Song, Byungjeong Kwon, Kwang-il Kim, Sang Kyum Yun, Hwi-yeol Nutr Metab (Lond) Research BACKGROUND: Although alterations in the methionine metabolism cycle (MMC) have been associated with vascular complications of diabetes, there have not been consistent results about the levels of methionine and homocysteine in type 2 diabetes mellitus (T2DM). The aim of the current study was to predict changes in plasma methionine and homocysteine concentrations after simulated consumption of methionine-rich foods, following the development of a mathematical model for MMC in Zucker Diabetic Fatty (ZDF) rats, as a representative T2DM animal model. METHOD: The model building and simulation were performed using NONMEM® (ver. 7.3.0) assisted by Perl-Speaks-NONMEM (PsN, ver. 4.3.0). Model parameters were derived using first-order conditional estimation method with interactions permitted among the parameters (FOCE-INTER). NCA was conducted using Phoenix (ver. 6.4.0). For all tests, we considered a P-value < 0.05 to reflect statistical significance. RESULTS: Our model featured seven compartments that considered all parts of the cycle by applying non-linear mixed effects model. Conversion of S-adenosyl-L-homocysteine (SAH) to homocysteine increased and the metabolism of homocysteine was reduced under diabetic conditions, and consequently homocysteine accumulated in the elimination phase. Using our model, we performed simulations to compare the changes in plasma methionine and homocysteine concentrations between ZDF and normal rats, by multiple administrations of the methionine-rich diet of 1 mmol/kg, daily for 60 days. The levels of methionine and homocysteine were elevated approximately two- and three-fold, respectively, in ZDF rats, while there were no changes observed in the normal control rats. CONCLUSION: These results can be interpreted to mean that both methionine and homocysteine will accumulate in patients with T2DM, who regularly consume high-methionine foods. BioMed Central 2018-02-10 /pmc/articles/PMC5807833/ /pubmed/29449868 http://dx.doi.org/10.1186/s12986-018-0247-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Han, Nayoung
Chae, Jung-woo
Jeon, Jihyun
Lee, Jaeyeon
Back, Hyun-moon
Song, Byungjeong
Kwon, Kwang-il
Kim, Sang Kyum
Yun, Hwi-yeol
Prediction of Methionine and Homocysteine levels in Zucker diabetic fatty (ZDF) rats as a T2DM animal model after consumption of a Methionine-rich diet
title Prediction of Methionine and Homocysteine levels in Zucker diabetic fatty (ZDF) rats as a T2DM animal model after consumption of a Methionine-rich diet
title_full Prediction of Methionine and Homocysteine levels in Zucker diabetic fatty (ZDF) rats as a T2DM animal model after consumption of a Methionine-rich diet
title_fullStr Prediction of Methionine and Homocysteine levels in Zucker diabetic fatty (ZDF) rats as a T2DM animal model after consumption of a Methionine-rich diet
title_full_unstemmed Prediction of Methionine and Homocysteine levels in Zucker diabetic fatty (ZDF) rats as a T2DM animal model after consumption of a Methionine-rich diet
title_short Prediction of Methionine and Homocysteine levels in Zucker diabetic fatty (ZDF) rats as a T2DM animal model after consumption of a Methionine-rich diet
title_sort prediction of methionine and homocysteine levels in zucker diabetic fatty (zdf) rats as a t2dm animal model after consumption of a methionine-rich diet
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807833/
https://www.ncbi.nlm.nih.gov/pubmed/29449868
http://dx.doi.org/10.1186/s12986-018-0247-1
work_keys_str_mv AT hannayoung predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet
AT chaejungwoo predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet
AT jeonjihyun predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet
AT leejaeyeon predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet
AT backhyunmoon predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet
AT songbyungjeong predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet
AT kwonkwangil predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet
AT kimsangkyum predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet
AT yunhwiyeol predictionofmethionineandhomocysteinelevelsinzuckerdiabeticfattyzdfratsasat2dmanimalmodelafterconsumptionofamethioninerichdiet