A Molecular Bridge: Connecting Type 2 Diabetes and Alzheimer’s Disease

Author(s): Firoz Ahmed, Juned Asghar Ansari, Zahid Eqbal Ansari, Qamre Alam, Siew Hua Gan, Mohammad A. Kamal, Ejaj Ahmad.

Journal Name: CNS & Neurological Disorders - Drug Targets

Volume 13 , Issue 2 , 2014

Become EABM
Become Reviewer

Abstract:

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.

Keywords: Type 2 diabetes, Alzheimer's disease, bioinformatics, high-throughput sequencing data.

Rights & PermissionsPrintExport Cite as


Article Details

VOLUME: 13
ISSUE: 2
Year: 2014
Page: [312 - 321]
Pages: 10
DOI: 10.2174/18715273113126660133
Price: $58

Article Metrics

PDF: 33