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基于代谢组学方法鉴定2型糖尿病冠心病患者的代谢生物标志物

Identification of metabolic biomarkers in patients with type 2 diabetic coronary heart diseases based on metabolomic approach.

作者信息

Liu Xinfeng, Gao Jian, Chen Jianxin, Wang Zhiyong, Shi Qi, Man Hongxue, Guo Shuzhen, Wang Yingfeng, Li Zhongfeng, Wang Wei

机构信息

Department of Chemistry, Capital Normal University, Beijing 100048, China.

Beijing University of Chinese Medicine, Beijing 100029, China.

出版信息

Sci Rep. 2016 Jul 29;6:30785. doi: 10.1038/srep30785.

DOI:10.1038/srep30785
PMID:27470195
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4965763/
Abstract

Type 2 diabetic coronary heart disease (T2DM-CHD) is a kind of serious and complex disease. Great attention has been paid to exploring its mechanism; however, the detailed understanding of T2DM-CHD is still limited. Plasma samples from 15 healthy controls, 13 coronary heart disease (CHD) patients, 15 type 2 diabetes mellitus (T2DM) patients and 28 T2DM-CHD patients were analyzed in this research. The potential biomarkers of CHD and T2DM were detected and screened out by (1)H NMR-based plasma metabolic profiling and multivariate data analysis. About 11 and 12 representative metabolites of CHD and T2DM were identified respectively, mainly including alanine, arginine, proline, glutamine, creatinine and acetate. Then the diagnostic model was further constructed based on the previous metabolites of CHD and T2DM to detect T2DM-CHD with satisfying sensitivity of 92.9%, specificity of 93.3% and accuracy of 93.2%, validating the robustness of (1)H NMR-based plasma metabolic profiling to diagnostic strategy. The results demonstrated that the NMR-based metabolomics approach processed good performance to identify diagnostic plasma biomarkers and most identified metabolites related to T2DM and CHD could be considered as predictors of T2DM-CHD as well as the therapeutic targets for prevention, which provided new insight into diagnosing and forecasting of complex diseases.

摘要

2型糖尿病冠心病(T2DM-CHD)是一种严重且复杂的疾病。人们对探索其发病机制给予了极大关注;然而,对T2DM-CHD的详细了解仍然有限。本研究分析了15名健康对照者、13名冠心病(CHD)患者、15名2型糖尿病(T2DM)患者和28名T2DM-CHD患者的血浆样本。通过基于氢核磁共振(¹H NMR)的血浆代谢谱分析和多变量数据分析检测并筛选出CHD和T2DM的潜在生物标志物。分别鉴定出约11种和12种CHD和T2DM的代表性代谢物,主要包括丙氨酸、精氨酸、脯氨酸、谷氨酰胺、肌酐和乙酸盐。然后基于先前鉴定出的CHD和T2DM的代谢物进一步构建诊断模型,用于检测T2DM-CHD,其灵敏度达92.9%,特异性达93.3%,准确率达93.2%,验证了基于¹H NMR的血浆代谢谱分析在诊断策略方面的稳健性。结果表明,基于核磁共振的代谢组学方法在识别诊断性血浆生物标志物方面表现良好,大多数鉴定出的与T2DM和CHD相关的代谢物可被视为T2DM-CHD的预测指标以及预防的治疗靶点,这为复杂疾病的诊断和预测提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/5f019d1e378c/srep30785-f9.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/5f019d1e378c/srep30785-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/10ce3b6d5527/srep30785-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/45e272e2938c/srep30785-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/768cce394be3/srep30785-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/ace6ece7e3c0/srep30785-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/60a158bba3d9/srep30785-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/0342e1abbd52/srep30785-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/4b5575f7bd2d/srep30785-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/8ee366cf03fa/srep30785-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57e6/4965763/5f019d1e378c/srep30785-f9.jpg

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