Lees Ty, Nassif Najah, Simpson Ann, Shad-Kaneez Fatima, Martiniello-Wilks Rosetta, Lin Yiguang, Jones Allan, Qu Xianqin, Lal Sara
a Neuroscience Research Unit , School of Life Sciences, Faculty of Science, University of Technology Sydney , Broadway , NSW , Australia.
b Chronic Disease Solutions Team , School of Life Sciences, Faculty of Science, University of Technology Sydney , Broadway , NSW , Australia.
Biomarkers. 2017 Nov;22(7):604-613. doi: 10.1080/1354750X.2017.1279216. Epub 2017 Jan 24.
Diabetes is a growing global metabolic epidemic. Current research is focussing on exploring how the biological processes and clinical outcomes of diabetes are related and developing novel biomarkers to measure these relationships, as this can subsequently improve diagnostic, therapeutic and management capacity.
The objective of this study is to identify the most recent advances in molecular biomarkers of diabetes and directions that warrant further research.
Using a systematic search strategy, the MEDLINE, CINAHL and OVID MEDLINE databases were canvassed for articles that investigated molecular biomarkers for diabetes. Initial selections were made based on article title, whilst final inclusion was informed by a critical appraisal of the full text of each article.
The systematic search returned 246 records, of which 113 were unique. Following screening, 29 records were included in the final review. Three main research strategies (the development of novel technologies, broad biomarker panels, and targeted approaches) identified a number of potential biomarkers for diabetes including miR-126, C-reactive protein, 2-aminoadipic acid and betatrophin.
The most promising research avenue identified is the detection and quantification of micro RNA. Further, the utilisation of functionalised electrodes as a means to detect biomarker compounds also warrants attention.
糖尿病是一种在全球范围内日益严重的代谢性流行病。当前的研究重点是探索糖尿病的生物学过程与临床结果之间的关系，并开发新的生物标志物来衡量这些关系，因为这随后可以提高诊断、治疗和管理能力。
本研究的目的是确定糖尿病分子生物标志物的最新进展以及值得进一步研究的方向。
采用系统检索策略，在MEDLINE、CINAHL和OVID MEDLINE数据库中搜索研究糖尿病分子生物标志物的文章。最初的筛选基于文章标题，而最终的纳入则通过对每篇文章全文的严格评估来确定。
系统检索返回246条记录，其中113条是唯一的。经过筛选，29条记录被纳入最终综述。三种主要的研究策略（新技术的开发、广泛的生物标志物组和靶向方法）确定了一些潜在的糖尿病生物标志物，包括miR-126、C反应蛋白、2-氨基己二酸和β细胞素。
确定的最有前景的研究途径是检测和定量微小RNA。此外，利用功能化电极作为检测生物标志物化合物的手段也值得关注。
