Ageing promotes microglial accumulation of slow-degrading synaptic proteins

Neurodegenerative diseases affect 1 in 12 people globally and remain incurable. Central to their pathogenesis is a loss of neuronal protein maintenance and the accumulation of protein aggregates with ageing<sup>1,2</sup>. Here we engineered bioorthogonal tools<sup>3</sup> that enabled us to tag the nascent neuronal proteome and study its turnover with ageing, its propensity to aggregate and its interaction with microglia. We show that neuronal protein half-life approximately doubles on average between 4-month-old and 24-month-old mice, with the stability of individual proteins differing among brain regions. Furthermore, we describe the aged neuronal 'aggregome', which encompasses 1,726 proteins, nearly half of which show reduced degradation with age. The aggregome includes well-known proteins linked to diseases and numerous proteins previously not associated with neurodegeneration. Notably, we demonstrate that neuronal proteins accumulate in aged microglia, with 54% also displaying reduced degradation and/or aggregation with age. Among these proteins, synaptic proteins are highly enriched, which suggests that there is a cascade of events that emerge from impaired synaptic protein turnover and aggregation to the disposal of these proteins, possibly through microglial engulfment of synapses. These findings reveal the substantial loss of neuronal proteome maintenance with ageing, which could be causal for age-related synapse loss and cognitive decline.

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Journal
Nature
Published
2026-01-21
DOI
https://doi.org/10.1038/s41586-025-09987-9
Citations
4
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
122.53
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article

Ageing promotes microglial accumulation of slow-degrading synaptic proteins

Ali Ghoochani, Andreas Keller, Tom H. Cheung, Ian H. Guldner et al.
4 citations
Nature
Neuroinflammation and Neurodegeneration Mechanisms
122.53
article

Ageing promotes microglial accumulation of slow-degrading synaptic proteins

Ali Ghoochani, Andreas Keller, Tom H. Cheung, Ian H. Guldner, Ernst H. Pulido, Michael Sasner, Viktoria Wagner, Zimin Guo, Carolyn R. Bertozzi, Abu-Remaileh Monther, Ning-Sum To, Barbara T Meese, Nannan Lu, Sophia W. Golub, Tony Wyss-Coray, Yann Le Guen, Pui Shuen Wong, Patricia Moran-Losada, Jian Luo, Emma Lundberg, Andrew C. Yang, Sophia M. Shi, Dylan Garceau, Kelly Chen, Johannes F. Hevler, Hamilton Se-Hwee Oh
article en
4 citations

Abstract

Neurodegenerative diseases affect 1 in 12 people globally and remain incurable. Central to their pathogenesis is a loss of neuronal protein maintenance and the accumulation of protein aggregates with ageing<sup>1,2</sup>. Here we engineered bioorthogonal tools<sup>3</sup> that enabled us to tag the nascent neuronal proteome and study its turnover with ageing, its propensity to aggregate and its interaction with microglia. We show that neuronal protein half-life approximately doubles on average between 4-month-old and 24-month-old mice, with the stability of individual proteins differing among brain regions. Furthermore, we describe the aged neuronal 'aggregome', which encompasses 1,726 proteins, nearly half of which show reduced degradation with age. The aggregome includes well-known proteins linked to diseases and numerous proteins previously not associated with neurodegeneration. Notably, we demonstrate that neuronal proteins accumulate in aged microglia, with 54% also displaying reduced degradation and/or aggregation with age. Among these proteins, synaptic proteins are highly enriched, which suggests that there is a cascade of events that emerge from impaired synaptic protein turnover and aggregation to the disposal of these proteins, possibly through microglial engulfment of synapses. These findings reveal the substantial loss of neuronal proteome maintenance with ageing, which could be causal for age-related synapse loss and cognitive decline.

NatureVol. 650(8103)
Gladstone Institutes (US), Howard Hughes Medical Institute (US), University of California, San Francisco (US), Neurosciences Institute (US), Hong Kong University of Science and Technology (HK), Science for Life Laboratory (SE), HKUST Shenzhen Research Institute (CN), Jackson Laboratory (US), Chan Zuckerberg Initiative (United States) (US), Stanford Medicine (US), KTH Royal Institute of Technology (SE), University of Hong Kong (HK), Saarland University (DE), Stanford University (US)
Openalex Percentile: Top 0%
Neuroinflammation and Neurodegeneration Mechanisms
122.53
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