Mechanistic and therapeutic implications of EphA‐4 receptor tyrosine kinase in the pathogenesis of Alzheimer's disease.
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| Title: | Mechanistic and therapeutic implications of EphA‐4 receptor tyrosine kinase in the pathogenesis of Alzheimer's disease. |
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| Authors: | Ganguly, Devargya (AUTHOR), Thomas, Joshua Abby (AUTHOR), Ali, Abid (AUTHOR), Kumar, Rahul (AUTHOR) |
| Source: | European Journal of Neuroscience. Nov2022, Vol. 56 Issue 9, p5532-5546. 15p. 1 Diagram, 1 Chart. |
| Subjects: | Alzheimer's disease, Kinases, Protein-tyrosine kinases, Apolipoprotein E4, Peptides, Neural development, Pathogenesis |
| Abstract: | Erythropoietin‐producing hepatoma (Eph) receptors belong to a family of tyrosine kinase receptors that plays a pivotal role in the development of the brain. Eph can be divided broadly into two groups, namely, EphA and EphB, comprising nine and five members, respectively. In recent years, the role of EphA‐4 has become increasingly apparent in the onset of Alzheimer's disease (AD). Emerging evidence suggests that EphA‐4 results in synaptic dysfunction, which in turn promotes the progression of AD. Moreover, pharmacological or genetic ablation of EphA‐4 in the murine model of AD can alleviate the symptoms. The current review summarizes different pathways by which EphA‐4 can influence pathogenesis. Since, majority of the studies had reported the protective effect of EphA‐4 inhibition during AD, designing therapeutics based on decreasing its enzymatic activity might be necessary for introducing the novel interventions. Therefore, the review described peptide and nanobodies inhibitors of EphA‐4 that exhibit the potential to modulate EphA‐4 and could be used as lead molecules for the targeted therapy of AD. [ABSTRACT FROM AUTHOR] |
| Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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