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2D-DIGE 作为一种策略,用于鉴定不同体重指数的墨西哥 2 型糖尿病患者的血清生物标志物。

2D-DIGE as a strategy to identify serum biomarkers in Mexican patients with Type-2 diabetes with different body mass index.

机构信息

IPICyT, Instituto Potosino de Investigación Científica y Tecnológica A.C. Camino a la Presa San Jose No. 2055, Lomas 4a sección, San Luis Potosí, San Luis Potosí, 78216, Mexico.

Juridiscción Sanitaria No. 1, Centros de Salud San Luis Potosi, San Luis Potosi, Mexico.

出版信息

Sci Rep. 2017 Apr 20;7:46536. doi: 10.1038/srep46536.

Abstract

Obesity and type 2 diabetes(T2D) are the most prevalent and serious metabolic diseases affecting people worldwide. However racial and ethnic disparities seems to be a risk factor for their development. Mexico has been named as one of the largest populations with the highest prevalence of diabetes and obesity. The aim of this study was to identify novel T2D-associated proteins in Mexican patients. Blood samples were collected from 62 Mexican patients with T2D and they were grouped according to their body mass index(BMI). A panel of 10 diabetes and obesity serum markers was determined using MAGPIX. A comparative proteomics study was performed using two-dimensional difference in-gel electrophoresis(2D-DIGE) followed by mass spectrometry(LC-MS/MS). We detected 113 spots differentially accumulated, in which 64 unique proteins were identified, proteins that were involved in metabolism pathways, molecular transport, and cellular signalling. Four proteins(14-3-3, ApoH, ZAG, and OTO3) showing diabetes-related variation and also changes in relation to obesity were selected for further validation by western blotting. Our results reveal new diabetes related proteins present in the Mexican population. These could provide additional insight into the understanding of diabetes development in Mexican population and may also be useful candidate biomarkers.

摘要

肥胖症和 2 型糖尿病(T2D)是全球最普遍和严重的代谢性疾病,然而,种族和民族差异似乎是其发展的一个风险因素。墨西哥被称为糖尿病和肥胖症患病率最高的最大人群之一。本研究旨在鉴定墨西哥患者中与 2 型糖尿病相关的新型蛋白质。从 62 名患有 T2D 的墨西哥患者中采集血液样本,并根据其体重指数(BMI)进行分组。使用 MAGPIX 测定了 10 种糖尿病和肥胖症血清标志物的检测。通过二维差异凝胶电泳(2D-DIGE)和质谱(LC-MS/MS)进行比较蛋白质组学研究。我们检测到 113 个差异积累的斑点,其中鉴定出 64 种独特的蛋白质,这些蛋白质参与代谢途径、分子转运和细胞信号转导。选择四个表现出与糖尿病相关变化且与肥胖相关变化的蛋白质(14-3-3、ApoH、ZAG 和 OTO3),通过蛋白质印迹法进一步验证。我们的研究结果揭示了墨西哥人群中存在的与糖尿病相关的新型蛋白质。这些可能为理解墨西哥人群中糖尿病的发展提供更多的见解,也可能是有用的候选生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4122/5397846/d9dd78afd473/srep46536-f1.jpg

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