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

被引:25
作者
Ahmed, Firoz [1 ]
Ansari, Juned Asghar [2 ]
Ansari, Zahid Eqbal [3 ]
Alam, Qamre [4 ]
Gan, Siew Hua [5 ]
Kamal, Mohammad A. [4 ]
Ahmad, Ejaj [1 ]
机构
[1] Aligarh Muslim Univ, Interdisciplinary Biotechnol Unit, Aligarh, Uttar Pradesh, India
[2] Brij Lal Hosp & Res Ctr, Dept Radiol, Haldwani, Uttarakhand, India
[3] Jawaharlal Nehru Med Coll, Dept Community Med, Aligarh, Uttar Pradesh, India
[4] King Abdulaziz Univ, King Fahd Med Res Ctr, Jeddah 21413, Saudi Arabia
[5] Univ Sains Malaysia, Sch Med Sci, Ctr Human Genome, Kubang Kerian 16150, Kelantan, Malaysia
关键词
Type; 2; diabetes; Alzheimer's disease; bioinformatics; high-throughput sequencing data; GLYCOGEN-SYNTHASE KINASE-3; AMYLOID PRECURSOR PROTEIN; INSULIN-RESISTANCE; OXIDATIVE STRESS; BETA PEPTIDE; ER STRESS; DIFFERENTIAL EXPRESSION; APOLIPOPROTEIN-E; GLUCOSE TRANSPORTERS; HYPOTHALAMIC NEURONS;
D O I
10.2174/18715273113126660133
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
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.
引用
收藏
页码:312 / 321
页数:10
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