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Glial-derived mitochondrial signals affect neuronal proteostasis and aging

Raz Bar‐Ziv, Naibedya Dutta, Adam Hruby, Edward Sukarto, Maxim Averbukh, Athena Alcala, Hope R. Henderson, Jenni Durieux, Sarah U. Tronnes, Qazi Ahmad, Theodore Bolas, J. M. Perez, Julian G. Dishart, Matthew Vega, Gilberto Garcia

Science Advances · 2023 · ▲ 43 citations

Abstract

The nervous system plays a critical role in maintaining whole-organism homeostasis; neurons experiencing mitochondrial stress can coordinate the induction of protective cellular pathways, such as the mitochondrial unfolded protein response (UPR MT ), between tissues. However, these studies largely ignored nonneuronal cells of the nervous system. Here, we found that UPR MT activation in four astrocyte-like glial cells in the nematode, Caenorhabditis elegans , can promote protein homeostasis by alleviating protein aggregation in neurons. Unexpectedly, we find that glial cells use small clear vesicles (SCVs) to signal to neurons, which then relay the signal to the periphery using dense-core vesicles (DCVs). This work underlines the importance of glia in establishing and regulating protein homeostasis within the nervous system, which can then affect neuron-mediated effects in organismal homeostasis and longevity.

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Provenance

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OpenAlex
DOI
10.1126/sciadv.adi1411
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2026-06-09 MST

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APA
Bar‐Ziv, R., Dutta, N., Hruby, A., Sukarto, E., Averbukh, M., Alcala, A., Henderson, H.R., Durieux, J., Tronnes, S.U., Ahmad, Q., Bolas, T., Perez, J.M., Dishart, J.G., Vega, M., Garcia, G., Higuchi‐Sanabria, R., &amp; Dillin, A. (2023). Glial-derived mitochondrial signals affect neuronal proteostasis and aging. <em>Science Advances</em>. https://doi.org/10.1126/sciadv.adi1411
Vancouver
Bar‐Ziv R, Dutta N, Hruby A, Sukarto E, Averbukh M, Alcala A, et al. Glial-derived mitochondrial signals affect neuronal proteostasis and aging. Science Advances. 2023. doi:10.1126/sciadv.adi1411.
BibTeX
@article{raz2023Gliald, title = {Glial-derived mitochondrial signals affect neuronal proteostasis and aging}, author = {Raz Bar‐Ziv and Naibedya Dutta and Adam Hruby and Edward Sukarto and Maxim Averbukh and Athena Alcala and Hope R. Henderson and Jenni Durieux and Sarah U. Tronnes and Qazi Ahmad and Theodore Bolas and J. M. Perez and Julian G. Dishart and Matthew Vega and Gilberto Garcia and Ryo Higuchi‐Sanabria and Andrew Dillin}, journal = {Science Advances}, year = {2023}, doi = {10.1126/sciadv.adi1411}, }

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