Unknown

Dataset Information

0

Protein lifetimes in aged brains reveal a proteostatic adaptation linking physiological aging to neurodegeneration.


ABSTRACT: Aging is a prominent risk factor for neurodegenerative disorders (NDDs); however, the molecular mechanisms rendering the aged brain particularly susceptible to neurodegeneration remain unclear. Here, we aim to determine the link between physiological aging and NDDs by exploring protein turnover using metabolic labeling and quantitative pulse-SILAC proteomics. By comparing protein lifetimes between physiologically aged and young adult mice, we found that in aged brains protein lifetimes are increased by ~20% and that aging affects distinct pathways linked to NDDs. Specifically, a set of neuroprotective proteins are longer-lived in aged brains, while some mitochondrial proteins linked to neurodegeneration are shorter-lived. Strikingly, we observed a previously unknown alteration in proteostasis that correlates to parsimonious turnover of proteins with high biosynthetic costs, revealing an overall metabolic adaptation that preludes neurodegeneration. Our findings suggest that future therapeutic paradigms, aimed at addressing these metabolic adaptations, might be able to delay NDD onset.

SUBMITTER: Kluever V 

PROVIDER: S-EPMC9122331 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Protein lifetimes in aged brains reveal a proteostatic adaptation linking physiological aging to neurodegeneration.

Kluever Verena V   Russo Belisa B   Mandad Sunit S   Kumar Nisha Hemandhar NH   Alevra Mihai M   Ori Alessandro A   Rizzoli Silvio O SO   Urlaub Henning H   Schneider Anja A   Fornasiero Eugenio F EF  

Science advances 20220520 20


Aging is a prominent risk factor for neurodegenerative disorders (NDDs); however, the molecular mechanisms rendering the aged brain particularly susceptible to neurodegeneration remain unclear. Here, we aim to determine the link between physiological aging and NDDs by exploring protein turnover using metabolic labeling and quantitative pulse-SILAC proteomics. By comparing protein lifetimes between physiologically aged and young adult mice, we found that in aged brains protein lifetimes are incre  ...[more]

Similar Datasets

| S-EPMC5526976 | biostudies-other
| S-EPMC8762400 | biostudies-literature
| S-EPMC7666177 | biostudies-literature
| S-EPMC9954025 | biostudies-literature
| S-EPMC4321442 | biostudies-literature
| S-EPMC7438837 | biostudies-literature
2019-08-09 | GSE135584 | GEO
| S-EPMC2677799 | biostudies-literature
| S-EPMC11601267 | biostudies-literature
| S-EPMC11695630 | biostudies-literature