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CNS & Neurological Disorders - Drug Targets


ISSN (Print): 1871-5273
ISSN (Online): 1996-3181

Review Article

Extending Arms of Insulin Resistance from Diabetes to Alzheimer’s Disease: Identification of Potential Therapeutic Targets

Author(s): Smriti Gupta, Nitin Kumar Singhal, Subramaniam Ganesh and Rajat Sandhir*

Volume 18 , Issue 3 , 2019

Page: [172 - 184] Pages: 13

DOI: 10.2174/1871527317666181114163515

Price: $65


Background & Objective: Type 3 diabetes (T3D) is chronic insulin resistant state of brain which shares pathology with sporadic Alzheimer’s disease (sAD). Insulin signaling is a highly conserved pathway in the living systems that orchestrate cell growth, repair, maintenance, energy homeostasis and reproduction. Although insulin is primarily studied as a key molecule in diabetes mellitus, its role has recently been implicated in the development of Alzheimer’s disease (AD). Severe complications in brain of diabetic patients and metabolically compromised status is evident in brain of AD patients. Underlying shared pathology of two disorders draws a trajectory from peripheral insulin resistance to insulin unresponsiveness in the central nervous system (CNS). As insulin has a pivotal role in AD, it is not an overreach to address diabetic condition in AD brain as T3D. Insulin signaling is indispensable to nervous system and it is vital for neuronal growth, repair, and maintenance of chemical milieu at synapses. Downstream mediators of insulin signaling pathway work as a regulatory hub for aggregation and clearance of unfolded proteins like Aβ and tau.

Conclusion: In this review, we discuss the regulatory roles of insulin as a pivotal molecule in brain with the understanding of defective insulin signaling as a key pathological mechanism in sAD. This article also highlights ongoing trials of targeting insulin signaling as a therapeutic manifestation to treat diabetic condition in brain.

Keywords: Alzheimer's disease, Amyloid beta, GSK3β, Insulin, Insulin degrading enzyme, miRNA, Type 3 Diabetes.

Graphical Abstract
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