JOURNAL ARTICLE

The Relationship Between Ribosome-Associated Quality Control and Neurological Disorders.

  • Published In: Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2025, v. 80, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wang, Juan; Wang, Jianhua; Cao, Hanshuai; Xing, Yingming; Wang, Zhuoran; Ma, Jing; Zhao, Rongjuan; Zhang, Wei; Guo, Junhong; Chang, Xueli 3 of 3

Abstract

This article focuses on ribosome-associated quality control (RQC), a conserved eukaryotic mechanism that detects and resolves stalled ribosomes to maintain protein homeostasis, and its emerging role in neurological disorders. It details the molecular pathways of RQC, including key factors such as Zinc Finger Protein 598 (ZNF598), Listerin, and nuclear export mediator factor (NEMF), and explains how dysfunction in these pathways contributes to neurodegenerative diseases like Alzheimer's disease, Huntington's disease, amyotrophic lateral sclerosis, and Parkinson's disease, as well as neurodevelopmental disorders. The review highlights evidence linking RQC impairment to pathological protein aggregation and neuronal damage, and discusses potential therapeutic strategies targeting RQC components to mitigate these conditions. Further research is emphasized as necessary to fully elucidate RQC’s mechanisms in neurological disease pathogenesis and to develop effective interventions.

Additional Information

  • Source:Journals of Gerontology Series A: Biological Sciences & Medical Sciences. 2025/04, Vol. 80, Issue 4, p1
  • Document Type:Literature Review
  • Subject Area:Consumer Health
  • Publication Date:2025
  • ISSN:1079-5006
  • DOI:10.1093/gerona/glae304
  • Accession Number:184408769
  • Copyright Statement:Copyright of Journals of Gerontology Series A: Biological Sciences & Medical Sciences is the property of Oxford University Press / USA 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.)

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