Comprehensive Perspective Towards the Management of Proteinopathies by Elucidating Protein Misfolding and Aggregation.

Protein aggregation generic propensity neurodegenerative diseases protein folding landscape protein quality control proteinopathies

Journal

CNS & neurological disorders drug targets
ISSN: 1996-3181
Titre abrégé: CNS Neurol Disord Drug Targets
Pays: United Arab Emirates
ID NLM: 101269155

Informations de publication

Date de publication:
2024
Historique:
received: 20 06 2022
revised: 03 01 2023
accepted: 05 01 2023
pubmed: 7 3 2023
medline: 7 3 2023
entrez: 6 3 2023
Statut: ppublish

Résumé

Protein misfolding and aggregation is the phenomenon of the generic propensity of proteins, considered as a dark side of the protein world, and its exact mechanism is still not deciphered. Understanding the complexity of protein aggregation is currently the primary apprehension and challenge in biology and medicine due to their association with various debilitating human proteinopathies and neurodegenerative diseases. The mechanism of protein aggregation, associated diseases, and the development of efficient therapeutic strategies against these diseases are very challenging. These diseases are caused by different proteins, each protein with different mechanisms and consisting of various microscopic phases or events. These microscopic steps are functioning on different timescales during aggregation. Here, we highlighted the different features and current trends in protein aggregation. The study thoroughly recapitulates the various factors influencing, possible causes, types of aggregates and aggregation, their different proposed mechanisms, and the methods used to study the aggregation. Additionally, the formation and elimination of misfolded or aggregated proteins in the cell, the role of the ruggedness of the protein folding landscape in protein aggregation, proteinopathies, and the challenges for their prevention are comprehensively elucidated. A holistic understanding of different aspects of aggregation, molecular steps governing the various features of protein quality control, and crucial queries about the modulation of these processes and their interactions with other systems in cellular protein quality control can be considered conducive to comprehending the mechanism, designing effective approaches towards prevention of protein aggregation, rationalizing the etiology and development of novel strategies against therapy and management of the proteinopathies.

Identifiants

pubmed: 36876837
pii: CNSNDDT-EPUB-129998
doi: 10.2174/1871527322666230306085937
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

153-180

Subventions

Organisme : Indian Council of Medical Research
ID : ISRM/12/(127)/2020
Organisme : DST-FIST Grants of Govt. of India to Amity School of Applied Sciences, Amity University, Haryana
ID : SR/FST/PS-I/2019/68
Organisme : Jamia Millia Islamia
ID : SR/FST/LSI-541/2012
Organisme : Department of Health Research (DHR) India
ID : R.12014/59/2022-HR

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Ishfaq Ahmad Ahanger (IA)

Department of Clinical Biochemistry, University of Kashmir, Srinagar 190006, India.
Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.
Department of Chemistry, Biochemistry, and Forensic Science, Amity School of Applied Sciences, Amity University Haryana, Gurugram 122 413, Haryana, India.

Ghulam Md Ashraf (GM)

Department of Medical Laboratory Sciences, College of Health Science, and Sharjah Institute of Medical Research, University of Sharjah, Sharjah, United Arab Emirates.

Anurag Sharma (A)

Department of Chemistry, Biochemistry, and Forensic Science, Amity School of Applied Sciences, Amity University Haryana, Gurugram 122 413, Haryana, India.

Asimul Islam (A)

Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.

Classifications MeSH