Abstract

Ageing is a major risk factor for the development of many diseases, prominently including neurodegenerative disorders such as Alzheimer disease and Parkinson disease. A hallmark of many age-related diseases is the dysfunction in protein homeostasis (proteostasis), leading to the accumulation of protein aggregates. In healthy cells, a complex proteostasis network, comprising molecular chaperones and proteolytic machineries and their regulators, operates to ensure the maintenance of proteostasis. These factors coordinate protein synthesis with polypeptide folding, the conservation of protein conformation and protein degradation. However, sustaining proteome balance is a challenging task in the face of various external and endogenous stresses that accumulate during ageing. These stresses lead to the decline of proteostasis network capacity and proteome integrity. The resulting accumulation of misfolded and aggregated proteins affects, in particular, postmitotic cell types such as neurons, manifesting in disease. Recent analyses of proteome-wide changes that occur during ageing inform strategies to improve proteostasis. The possibilities of pharmacological augmentation of the capacity of proteostasis networks hold great promise for delaying the onset of age-related pathologies associated with proteome deterioration and for extending healthspan.

Keywords

ProteostasisProteomeBiologyProtein foldingCell biologyAgeingProteolysisNeuroscienceBioinformaticsBiochemistryGenetics

MeSH Terms

Alzheimer DiseaseAnimalsHumansMolecular ChaperonesParkinson DiseaseProtein FoldingProteolysisProteostasis

Affiliated Institutions

Related Publications

Publication Info

Year
2019
Type
review
Volume
20
Issue
7
Pages
421-435
Citations
1477
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1477
OpenAlex
38
Influential

Cite This

Mark S. Hipp, Prasad Kasturi, F. Ulrich Hartl (2019). The proteostasis network and its decline in ageing. Nature Reviews Molecular Cell Biology , 20 (7) , 421-435. https://doi.org/10.1038/s41580-019-0101-y

Identifiers

DOI
10.1038/s41580-019-0101-y
PMID
30733602

Data Quality

Data completeness: 81%