Han Nayoung, Chae Jung-Woo, Jeon Jihyun, Lee Jaeyeon, Back Hyun-Moon, Song Byungjeong, Kwon Kwang-Il, Kim Sang Kyum, Yun Hwi-Yeol
1College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826 Republic of Korea.
2College of Pharmacy, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134 Republic of Korea.
Nutr Metab (Lond). 2018 Feb 10;15:14. doi: 10.1186/s12986-018-0247-1. eCollection 2018.
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.
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 -value < 0.05 to reflect statistical significance.
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.
These results can be interpreted to mean that both methionine and homocysteine will accumulate in patients with T2DM, who regularly consume high-methionine foods.
尽管蛋氨酸代谢循环(MMC)的改变与糖尿病血管并发症有关,但2型糖尿病(T2DM)患者蛋氨酸和同型半胱氨酸水平的研究结果并不一致。本研究的目的是在建立Zucker糖尿病脂肪大鼠(ZDF)(一种具有代表性的T2DM动物模型)MMC数学模型后,预测模拟食用富含蛋氨酸的食物后血浆蛋氨酸和同型半胱氨酸浓度的变化。
使用Perl-Speaks-NONMEM(PsN,版本4.3.0)辅助的NONMEM®(版本7.3.0)进行模型构建和模拟。模型参数采用允许参数间相互作用的一阶条件估计法(FOCE-INTER)推导得出。使用Phoenix(版本6.4.0)进行非房室分析(NCA)。对于所有检验,我们认为P值<0.05具有统计学意义。
我们的模型具有七个房室,通过应用非线性混合效应模型考虑了循环的所有部分。在糖尿病条件下,S-腺苷-L-同型半胱氨酸(SAH)向同型半胱氨酸的转化增加,同型半胱氨酸的代谢减少,因此在消除阶段同型半胱氨酸积累。使用我们的模型,我们进行了模拟,通过每天多次给予1 mmol/kg富含蛋氨酸的饮食,持续60天,比较ZDF大鼠和正常大鼠血浆蛋氨酸和同型半胱氨酸浓度的变化。ZDF大鼠的蛋氨酸和同型半胱氨酸水平分别升高了约两倍和三倍,而正常对照大鼠未观察到变化。
这些结果可以解释为,经常食用高蛋氨酸食物的T2DM患者体内蛋氨酸和同型半胱氨酸都会积累。