Literature DB >> 24059321

Common cellular and molecular mechanisms underlying Alzheimer's disease and type 2 diabetes: a knowledge-driven approach.

Kalamegam Gauthaman, Peter Natesan Pushparaj, Manoharan Rajeshkumar, Kothandaraman Narasimhan, Mohammed Al-Qahtani, Nam Sang Cheung, Jayapal Manikandan1.   

Abstract

The relationship between the two age-related diseases namely, Alzheimer's disease (AD) and type II diabetes mellitus (T2DM), is gaining much attention in research because of the alarming forecast on both increasing incidence and economic burden. Recent research studies have identified some of the existing links, between AD and T2DM, such as the dysfunctional glucose metabolism and insulin signaling, stress and inflammation, defective protein processing and the role of advanced glycation end products. It is, therefore, crucial to understand the cellular and molecular mechanisms to identify the common linking mechanisms involved in the pathogenesis of both AD and T2DM. Genome wide association studies may lead to identification of novel targets and provide clues for possible interventional strategies to limit the progression of these two age-related diseases. Hence, the purpose of the present review is to provide an update, on the various possible linking cellular and molecular mechanisms, including our experience on the use of high throughput applications to investigate the molecular mechanisms underneath the neurodegeneration in animal models. Besides, using this knowledge-driven approach, we discuss how the current technological advancements can effectively be used to identify possible associations between these age-related diseases.

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Year:  2014        PMID: 24059321     DOI: 10.2174/18715273113126660138

Source DB:  PubMed          Journal:  CNS Neurol Disord Drug Targets        ISSN: 1871-5273            Impact factor:   4.388


  1 in total

1.  Decoding the Role of Astrocytes in the Entorhinal Cortex in Alzheimer's Disease Using High-Dimensional Single-Nucleus RNA Sequencing Data and Next-Generation Knowledge Discovery Methodologies: Focus on Drugs and Natural Product Remedies for Dementia.

Authors:  Peter Natesan Pushparaj; Gauthaman Kalamegam; Khalid Hussain Wali Sait; Mahmood Rasool
Journal:  Front Pharmacol       Date:  2022-02-28       Impact factor: 5.810

  1 in total

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