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首页> 外文期刊>Journal of Biosciences and Medicines >Mathematical Modeling of a Metabolic Network to Study the Impact of Food Contaminants on Genomic Methylation and DNA Instability
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Mathematical Modeling of a Metabolic Network to Study the Impact of Food Contaminants on Genomic Methylation and DNA Instability

机译:研究食物污染物对基因组甲基化和DNA不稳定性的影响的代谢网络数学模型

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Environmental contamination of food is a worldwide public health problem. Folate mediated one- carbon metabolism plays an important role in epigenetic regulation of gene expression and mutagenesis. Many contaminants in food cause cancer through epigenetic mechanisms and/or DNA instability i.e. default methylation of uracil to thymine, subsequent to the decrease of 5-methylte- trahydrofolate (5 mTHF) pool in the one-carbon metabolism network. Evaluating consequences of an exposure to food contaminants based on systems biology approaches is a promising alternative field of investigation. This report presents a dynamic mathematical modeling for the study of the alteration in the one-carbon metabolism network by environmental factors. It provides a model for predicting “the impact of arbitrary contaminants that can induce the 5 mTHF deficiency. The model allows for a given experimental condition, the analysis of DNA methylation activity and dumping methylation in the de novo pathway of DNA synthesis.
机译:食物的环境污染是世界范围内的公共卫生问题。叶酸介导的一碳代谢在基因表达和诱变的表观遗传调控中起重要作用。食物中的许多污染物是通过表观遗传机制和/或DNA不稳定(即尿嘧啶默认甲基化为胸腺嘧啶)导致癌症的,随后一碳代谢网络中的5-甲基四氢叶酸(5 mTHF)库减少。基于系统生物学方法评估食物污染物暴露的后果是一个有希望的替代研究领域。本报告提出了一种动态数学模型,用于研究环境因素对一碳代谢网络的影响。它提供了一个模型来预测“可能导致5 mTHF缺乏的任意污染物的影响”。该模型考虑了给定的实验条件,DNA甲基化活性的分析以及DNA合成从头途径中的倾销甲基化。

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