Concise Overview of Glypromate Neuropeptide Research: From Chemistry to Pharmacological Applications in Neurosciences.
Sara C Silva-ReisIvo E Sampaio-DiasVera M CostaXavier Cruz CorreiaHugo F Costa-AlmeidaXerardo García-MeraJosé E Rodríguez-BorgesPublished in: ACS chemical neuroscience (2023)
Neurodegenerative diseases of the central nervous system (CNS) pose a serious health concern worldwide, with a particular incidence in developed countries as a result of life expectancy increase and the absence of restorative treatments. Presently, treatments for these neurological conditions are focused on managing the symptoms and/or slowing down their progression. As so, the research on novel neuroprotective drugs is of high interest. Glypromate (glycyl-l-prolyl-l-glutamic acid, also known as GPE), an endogenous small peptide widespread in the brain, holds great promise to tackle neurodegenerative diseases such as Parkinson's, Alzheimer's, and Huntington's, s well as other CNS-related disorders like Rett and Down's syndromes. However, the limited pharmacokinetic properties of Glypromate hinder its clinical application. As such, intense research has been devoted to leveraging the pharmacokinetic profile of this neuropeptide. This review aims to offer an updated perspective on Glypromate research by exploring the vast array of chemical derivatizations of more than 100 analogs described in the literature over the past two decades. The collection and discussion of the most relevant structure-activity relationships will hopefully guide the discovery of new Glypromate-based neuroprotective drugs.
Keyphrases
- cerebral ischemia
- blood brain barrier
- subarachnoid hemorrhage
- high throughput
- healthcare
- public health
- systematic review
- small molecule
- brain injury
- risk factors
- mental health
- cognitive decline
- big data
- high resolution
- white matter
- drug induced
- resting state
- health information
- molecular docking
- drug discovery
- human health
- machine learning
- depressive symptoms
- deep learning
- artificial intelligence
- single cell