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.
CNS & Neurological Disorders - Drug Targets
Title:A Molecular Bridge: Connecting Type 2 Diabetes and Alzheimer’s Disease
Volume: 13 Issue: 2
Author(s): Firoz Ahmed, Juned Asghar Ansari, Zahid Eqbal Ansari, Qamre Alam, Siew Hua Gan, Mohammad A. Kamal and Ejaj Ahmad
Affiliation:
Keywords: Type 2 diabetes, Alzheimer's disease, bioinformatics, high-throughput sequencing data.
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.
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Cite this article as:
Ahmed Firoz, Ansari Asghar Juned, Ansari Eqbal Zahid, Alam Qamre, Gan Hua Siew, Kamal A. Mohammad and Ahmad Ejaj, A Molecular Bridge: Connecting Type 2 Diabetes and Alzheimer’s Disease, CNS & Neurological Disorders - Drug Targets 2014; 13 (2) . https://dx.doi.org/10.2174/18715273113126660133
DOI https://dx.doi.org/10.2174/18715273113126660133 |
Print ISSN 1871-5273 |
Publisher Name Bentham Science Publisher |
Online ISSN 1996-3181 |
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