疾病
计算生物学
生物信息学
机制(生物学)
2型糖尿病
基因组学
生物信息学
蛋白质组学
生物
阿尔茨海默病
基因
医学
遗传学
糖尿病
基因组
病理
哲学
内分泌学
认识论
作者
Firoz Ahmed,Jamil A Ansari,Zahid Ansari,Qamre Alam,Siew Hua Gan,Mohammad Amjad Kamal,Ejaj Ahmad
出处
期刊:Cns & Neurological Disorders-drug Targets
[Bentham Science Publishers]
日期:2014-04-01
卷期号:13 (2): 312-321
被引量:28
标识
DOI:10.2174/18715273113126660133
摘要
Type 2 diabetes (T2D) and Alzheimer's disease (AD) are complex diseases commonly associated with aging. Accumulating evidence indicates a connection between these two diseases at the molecular level. Much of what we currently know about T2D and AD is derived from in vivo and in vitro studies. However, further research and characterization of molecules is necessary to establish a strong connection between T2D and AD. In silico studies play a major role in finding non-evident patterns of gene expression and gene network connectivity. In this review, we give a brief introduction to T2D and AD and then describe the risk factors and molecules that are commonly associated with these diseases. Finally, we discuss the future directions and applications of bioinformatics that can provide greater insight into the relationship between these two diseases. Analysis and integration of high-throughput data on genomics, transcriptomics, proteomics and metabolomics from normal and disease tissues would be very useful to improve our understanding of the mechanism behind disease initiation and the connection between these two diseases. We encourage researchers to use bioinformatics approaches to identify genes and their regulatory pathways that are commonly affected in T2D and AD, as these genes and pathways could be potential biomarkers and targets for disease treatment.
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