Poly (ADP-ribose) polymerase-1 as a promising drug target for neurodegenerative diseases
- PMID: 33387580
- DOI: 10.1016/j.lfs.2020.118975
Poly (ADP-ribose) polymerase-1 as a promising drug target for neurodegenerative diseases
Abstract
Aims: Poly (ADP-ribose) polymerase- (PARP)-1 is predominantly triggered by DNA damage. Overexpression of PARP-1 is known for its association with the pathogenesis of several CNS disorders, such as Stroke, Parkinson's disease (PD), Alzheimer's disease (AD), Huntington (HD) and Amyotrophic lateral sclerosis (ALS). NAD+ depletion resulted PARP related cell death only happened when the trial used extreme high oxidization treatment. Inhibition of PARP1/2 may induce replication related cell death due to un-repaired DNA damage. This review has discussed PARP-1 modulated downstream pathways in neurodegeneration and various FDA approved PARP-1 inhibitors.
Materials and methods: A systematic literature review of PubMed, Medline, Bentham, Scopus and EMBASE (Elsevier) databases was carried out to understand the nature of the extensive work done on mechanistic role of Poly (ADP-ribose) polymerase and its inhibition in Neurodegenerative diseases.
Key findings: Several researchers have put forward number of potential treatments, of which PARP-1 enzyme has been regarded as a potent target intended for the handling of neurodegenerative ailments. Targeting PARP using its chemical inhibitors in various neurodegenerative may have therapeutic outcomes by reducing neuronal death mediated by PARPi. Numerous PARP-1 inhibitors have been studied in neurodegenerative diseases but they haven't been clinically evaluated.
Significance: In this review, the pathological role of PARP-1 in various neurodegenerative diseases has been discussed along with the therapeutic role of PARP-1 inhibitors in various neurodegenerative diseases.
Keywords: ASK-JNK signalling; Caspases; NF-κB signalling; Neurodegenerative diseases; PARP (poly (ADP-ribose) polymerase); PARP-1 inhibitors; PI3K signalling; Parthanatos.
Copyright © 2020 Elsevier Inc. All rights reserved.
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