Purohit Sharad, Sharma Ashok, She Jin-Xiong
Center for Biotechnology and Genomic Medicine (CBGM), Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA ; Department of Pathology, Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA.
Center for Biotechnology and Genomic Medicine (CBGM), Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA ; Department of Biostatistics and Epidemiology, Medical College of Georgia, Georgia Regents University, 1120 15th Street, Augusta, GA 30912, USA.
Biomed Res Int. 2015;2015:326918. doi: 10.1155/2015/326918. Epub 2015 Mar 25.
Complex interactions between a series of environmental factors and genes result in progression to clinical type 1 diabetes in genetically susceptible individuals. Despite several decades of research in the area, these interactions remain poorly understood. Several studies have yielded associations of certain foods, infections, and immunizations with the onset and progression of diabetes autoimmunity, but most findings are still inconclusive. Environmental triggers are difficult to identify mainly due to (i) large number and complex nature of environmental exposures, including bacteria, viruses, dietary factors, and environmental pollutants, (ii) reliance on low throughput technology, (iii) less efforts in quantifying host response, (iv) long silent period between the exposure and clinical onset of T1D which may lead to loss of the exposure fingerprints, and (v) limited sample sets. Recent development in multiplex technologies has enabled systematic evaluation of different classes of molecules or macroparticles in a high throughput manner. However, the use of multiplex assays in type 1 diabetes research is limited to cytokine assays. In this review, we will discuss the potential use of multiplex high throughput technologies in identification of environmental triggers and host response in type 1 diabetes.
一系列环境因素与基因之间的复杂相互作用,会导致遗传易感性个体发展为临床1型糖尿病。尽管该领域已进行了数十年的研究,但这些相互作用仍未得到充分理解。多项研究已得出某些食物、感染和免疫接种与糖尿病自身免疫的发生及进展之间存在关联,但大多数研究结果仍无定论。环境触发因素难以确定,主要原因包括:(i)环境暴露的数量众多且性质复杂,包括细菌、病毒、饮食因素和环境污染物;(ii)依赖低通量技术;(iii)在量化宿主反应方面投入的精力较少;(iv)从暴露到1型糖尿病临床发病之间存在较长的沉默期,这可能导致暴露指纹的丢失;以及(v)样本集有限。多重技术的最新发展使得能够以高通量方式对不同类别的分子或大颗粒进行系统评估。然而,多重检测在1型糖尿病研究中的应用仅限于细胞因子检测。在本综述中,我们将讨论多重高通量技术在识别1型糖尿病环境触发因素和宿主反应方面的潜在用途。