| 基于GC-MS的妊娠糖尿病小鼠尿液代谢组学研究 |
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| 引用本文： | 王彬,陈君君,王军,苟小军,张若曦.基于GC-MS的妊娠糖尿病小鼠尿液代谢组学研究[J].医学研究杂志,2018,47(8):82-87. |
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| 作者姓名： | 王彬 陈君君 王军 苟小军 张若曦 |
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| 作者单位： | 201306 上海健康医学院附属第六人民医院东院;200233 上海市第六人民医院,201306 上海健康医学院附属第六人民医院东院;200233 上海市第六人民医院,201306 上海健康医学院附属第六人民医院东院;200233 上海市第六人民医院,201999 上海市宝山区中西医结合医院,200437 上海中医药大学附属岳阳中西医结合医院 |
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| 基金项目： | 上海市卫生和计划生育委员会科研基金资助项目（20164Y0072）；上海健康医学院种子基金资助项目（HMSF-16-22-015）；上海市第六人民医院东院院级基金资助项目（院人才2015012） |
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| 摘 要： | 目的 运用代谢组学考察妊娠糖尿病小鼠机体内源性代谢物的变化。方法 采用高脂高糖饲料喂养妊娠小鼠建立妊娠糖尿病小鼠模型，将小鼠分为正常组（NB）、正常饮食妊娠组（NP）、高脂高糖饮食未妊娠组（HB）和妊娠糖尿病模型（HP）组，收集小鼠尿液，应用GC-MS的方法检测各组小鼠尿液中代谢物，利用主成分分析法和偏最小二乘-判别分析对各组小鼠尿液进行代谢组学的分析。观察各组间代谢轮廓差异并寻找生物标志物。结果 利用主成分分析法和偏最小二乘-判别分析能将样本分开，谱库分析得到18种生物标志物。结论 基于气相色谱-质谱联用仪的代谢组学可以很好的从内源性代谢物的变化过程反应妊娠糖尿病的发生情况，为妊娠糖尿病的早期诊断提供参考。
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| 关 键 词： | 妊娠糖尿病 代谢组学 生物标志物 代谢紊乱 |
| 收稿时间： | 2017/10/25 0:00:00 |
| 修稿时间： | 2017/11/6 0:00:00 |
Urinary Metabonomics Study of Gestational Diabetes Mellitus Rats |
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| Wang Bin,Chen Junjun,Wang Jun.Urinary Metabonomics Study of Gestational Diabetes Mellitus Rats[J].Journal of Medical Research,2018,47(8):82-87. |
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| Authors: | Wang Bin Chen Junjun Wang Jun |
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| Institution: | Shanghai Sixth People''s Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai 201306, China,Shanghai Sixth People''s Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai 201306, China,Shanghai Sixth People''s Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai 201306, China |
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| Abstract: | Objective To study the influences and variation of gestational diabetes mellitus rats on endogenous metabolites of urinary in rats by using metabonomic method. Methods The pregnant rats were fed on high fat and glucose (HFG) diet to induce gestational diabetes mellitus. Mice were divided into nomal group, normal diet without pregnant group, HFG diet without pregnant group and gestational diabetes mellitus group. The urinary samples were underwent preparation, derivation and GC/MS analysis. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) was performed to detect the metabolic profile difference between the four groups. Results Through the metabonomic research, 18 biomarkers were found. Conclusion Metabonomic study based on GC-MS shows a good recognition of gestational diabetes mellitus rats which will provide reference for early diagnosis of gestational diabetes mellitus. |
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| Keywords: | Gestational diabetes mellitus Metabonomics Biomarkers Metabolic disorders |
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