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Protein homeostasis and aging in neurodegeneration
Open accessAbstract
Genetic and environmental factors responsible for numerous neurodegenerative diseases vary between disorders, yet age remains a universal risk factor. Age-associated decline in protein homeostasis, or proteostasis, enables disease-linked proteins to adopt aberrant tertiary structures, accumulate as higher-ordered aggregates, and cause a myriad of cellular dysfunctions and neuronal death. However, recent findings suggest that the assembly of disease proteins into tightly ordered aggregates can significantly delay proteotoxic onset. Furthermore, manipulation of metabolic pathways through key signaling components extends lifespan, bolsters proteostasis networks, and delays the onset of proteotoxicity. Thus, understanding the relationship between proteostasis and aging has provided important insights into neurodegeneration.
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Cites
Soluble protein oligomers in neurodegeneration: lessons from the Alzheimer's amyloid β-peptide
Haass, C., & Selkoe, D. J. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2101 · Cited by 4,744
Resveratrol improves health and survival of mice on a high-calorie diet
Baur, J. A., Pearson, K. J., Price, N. L., Jamieson, H. A., Lerin, C., Kalra, A., Prabhu, V. V., Allard, J. S., Lopez-Lluch, G., Lewis, K., et al. (2006) · Nature · doi:10.1038/nature05354 · Cited by 4,290
Common structure of soluble amyloid oligomers implies common mechanism of pathogenesis
Kayed, R., Head, E., Thompson, J. L., McIntire, T. M., Milton, S. C., Cotman, C. W., & Glabe, C. G. (2003) · Science · doi:10.1126/science.1079469 · Cited by 4,064
Suppression of basal autophagy in neural cells causes neurodegenerative disease in mice
Hara, T., Nakamura, K., Matsui, M., Yamamoto, A., Nakahara, Y., Suzuki-Migishima, R., Yokoyama, M., Mishima, K., Saito, I., Okano, H., et al. (2006) · Nature · doi:10.1038/nature04724 · Cited by 3,882
Rapamycin fed late in life extends lifespan in genetically heterogeneous mice
Harrison, D. E., Strong, R., Sharp, Z. D., Nelson, J. F., Astle, C. M., Flurkey, K., Nadon, N. L., Wilkinson, J. E., Frenkel, K., Carter, C. S., et al. (2009) · Nature · doi:10.1038/nature08221 · Cited by 3,766
Shankar, G. M., Li, S., Mehta, T. H., Garcia-Munoz, A., Shepardson, N. E., Smith, I., Brett, F. M., Farrell, M. A., Rowan, M. J., Lemere, C. A., et al. (2008) · Nature Medicine · doi:10.1038/nm1782 · Cited by 3,685
Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668
Ravikumar, B., Vacher, C., Berger, Z., Davies, J. E., Luo, S., Oroz, L. G., Scaravilli, F., Easton, D. F., Duden, R., O'Kane, C. J., et al. (2004) · Nature Genetics · doi:10.1038/ng1362 · Cited by 2,347
Kaeberlein, M., McVey, M., & Guarente, L. (1999) · Genes & Development · doi:10.1101/gad.13.19.2570 · Cited by 2,253 · cited 2×
“The role of sirtuins in aging was first discovered in S. cerevisiae as depletion of Sir2 shortened replicative lifespan, whereas overexpression lengthened replicative lifespan (Kaeberlein et al., 1999).”
IGF-1 receptor regulates lifespan and resistance to oxidative stress in mice
Holzenberger, M., Dupont, J., Ducos, B., Leneuve, P., Géloën, A., Even, P. C., Cervera, P., & Le Bouc, Y. (2003) · Nature · doi:10.1038/nature01298 · Cited by 2,109
Cited by
A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease
Brehme, M., Voisine, C., Rolland, T., Wachi, S., Soper, J. H., Zhu, Y., Orton, K., Villella, A., Garza, D., Vidal, M., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.09.042 · Cited by 584
Widespread Proteome Remodeling and Aggregation in Aging C. elegans
Walther, D. M., Kasturi, P., Zheng, M., Pinkert, S., Vecchi, G., Ciryam, P., Morimoto, R. I., Dobson, C. M., Vendruscolo, M., Mann, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.03.032 · Cited by 569
Aging, Rejuvenation, and Epigenetic Reprogramming: Resetting the Aging Clock
Rando, T. A., & Chang, H. Y. (2012) · Cell · doi:10.1016/j.cell.2012.01.003 · Cited by 520
Cribbs, D. H., Berchtold, N. C., Perreau, V., Coleman, P. D., Rogers, J., Tenner, A. J., & Cotman, C. W. (2012) · Journal of Neuroinflammation · doi:10.1186/1742-2094-9-179 · Cited by 499
Gómez-Virgilio, L., Silva-Lucero, M.-D.-C., Flores-Morelos, D.-S., Gallardo-Nieto, J., Lopez-Toledo, G., Abarca-Fernandez, A.-M., Zacapala-Gómez, A.-E., Luna-Muñoz, J., Montiel-Sosa, F., Soto-Rojas, L. O., et al. (2022) · Cells · doi:10.3390/cells11152262 · Cited by 431
Gut-seeded α-synuclein fibrils promote gut dysfunction and brain pathology specifically in aged mice
Challis, C., Hori, A., Sampson, T. R., Yoo, B. B., Challis, R. C., Hamilton, A. M., Mazmanian, S. K., Volpicelli-Daley, L. A., & Gradinaru, V. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0589-7 · Cited by 405
Pharmacological approaches to restore mitochondrial function
Andreux, P. A., Houtkooper, R. H., & Auwerx, J. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4023 · Cited by 383
Repairing mitochondrial dysfunction in disease
Sorrentino, V., Menzies, K. J., & Auwerx, J. (2018) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010716-104908 · Cited by 337
Chaperone-mediated autophagy prevents collapse of the neuronal metastable proteome
Bourdenx, M., Martín-Segura, A., Scrivo, A., Rodriguez-Navarro, J. A., Kaushik, S., Tasset, I., Diaz, A., Storm, N. J., Xin, Q., Juste, Y. R., et al. (2021) · Cell · doi:10.1016/j.cell.2021.03.048 · Cited by 337
Salminen, A., Ojala, J., Kaarniranta, K., Haapasalo, A., Hiltunen, M., & Soininen, H. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07738.x · Cited by 333
Mammalian/mechanistic target of rapamycin (mTOR) complexes in neurodegeneration
Querfurth, H., & Lee, H.-K. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00428-5 · Cited by 288
Cellular and epigenetic drivers of stem cell ageing
Ermolaeva, M., Neri, F., Ori, A., & Rudolph, K. L. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0020-3 · Cited by 272
ER stress and UPR in Alzheimer’s disease: mechanisms, pathogenesis, treatments
Ajoolabady, A., Lindholm, D., Ren, J., & Pratico, D. (2022) · Cell Death & Disease · doi:10.1038/s41419-022-05153-5 · Cited by 261
Firefly luciferase mutants as sensors of proteome stress
Gupta, R., Kasturi, P., Bracher, A., Loew, C., Zheng, M., Villella, A., Garza, D., Hartl, F. U., & Raychaudhuri, S. (2011) · Nature Methods · doi:10.1038/nmeth.1697 · Cited by 219
Ma, T., Chen, Y., Vingtdeux, V., Zhao, H., Viollet, B., Marambaud, P., & Klann, E. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1694-14.2014 · Cited by 191
Skeletal muscle autophagy and its role in sarcopenia and organismal aging
Jiao, J., & Demontis, F. (2017) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2017.03.009 · Cited by 184
Emerging role of p62/sequestosome-1 in the pathogenesis of Alzheimer's disease
Salminen, A., Kaarniranta, K., Haapasalo, A., Hiltunen, M., Soininen, H., & Alafuzoff, I. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.11.005 · Cited by 153
The aging lysosome: An essential catalyst for late-onset neurodegenerative diseases
Nixon, R. A. (2020) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2020.140443 · Cited by 149
The Essential Role of Soluble Aβ Oligomers in Alzheimer’s Disease
Wang, Z.-X., Tan, L., Liu, J., & Yu, J.-T. (2016) · Molecular Neurobiology · doi:10.1007/s12035-015-9143-0 · Cited by 110
Proteostasis and lysosomal repair deficits in transdifferentiated neurons of Alzheimer’s disease
Chou, C.-C., Vest, R., Prado, M. A., Wilson-Grady, J., Paulo, J. A., Shibuya, Y., Moran-Losada, P., Lee, T.-T., Luo, J., Gygi, S. P., et al. (2025) · Nature Cell Biology · doi:10.1038/s41556-025-01623-y · Cited by 94
Dehghan, E., Zhang, Y., Saremi, B., Yadavali, S., Hakimi, A., Dehghani, M., Goodarzi, M., Tu, X., Robertson, S., Lin, R., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-02394-3 · Cited by 92
Contribution of proteases to the hallmarks of aging and to age-related neurodegeneration
Rai, M., Curley, M., Coleman, Z., & Demontis, F. (2022) · Aging Cell · doi:10.1111/acel.13603 · Cited by 72
Calió, M. L., Henriques, E., Siena, A., Bertoncini, C. R. A., Gil-Mohapel, J., & Rosenstock, T. R. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00679 · Cited by 64
Chen, Y.-A., Peng, Y.-J., Hu, M.-C., Huang, J.-J., Chien, Y.-C., Wu, J.-T., Chen, T.-Y., & Tang, C.-Y. (2015) · Scientific Reports · doi:10.1038/srep10667 · Cited by 61
Lee, H.-K., Kwon, B., Lemere, C. A., de la Monte, S., Itamura, K., Ha, A. Y., & Querfurth, H. W. (2017) · Journal of Alzheimer's Disease · doi:10.3233/jad-161029 · Cited by 57
Heat Shock Factor 2 Protects against Proteotoxicity by Maintaining Cell-Cell Adhesion
Joutsen, J., Da Silva, A. J., Luoto, J. C., Budzynski, M. A., Nylund, A. S., de Thonel, A., Concordet, J.-P., Mezger, V., Sabéran-Djoneidi, D., Henriksson, E., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2019.12.037 · Cited by 51
Chaperone-Mediated Autophagy and Its Emerging Role in Hematological Malignancies
Robert, G., Jacquel, A., & Auberger, P. (2019) · Cells · doi:10.3390/cells8101260 · Cited by 45
DEGRONOPEDIA: a web server for proteome-wide inspection of degrons
Szulc, N. A., Stefaniak, F., Piechota, M., Soszyńska, A., Piórkowska, G., Cappannini, A., Bujnicki, J. M., Maniaci, C., & Pokrzywa, W. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae238 · Cited by 35
What lysosomes actually tell us about Parkinson’s disease?
Bourdenx, M., & Dehay, B. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.02.008 · Cited by 26
Higgins, R., Kabbaj, M.-H., Hatcher, A., & Wang, Y. (2018) · PLOS ONE · doi:10.1371/journal.pone.0191490 · Cited by 22
Immunity, stem cells, and aging
Devaraj, E., Anbalagan, M., Ileng Kumaran, R., & Bhaskaran, N. (2021) · Stem Cells and Aging · doi:10.1016/b978-0-12-820071-1.00006-2 · Cited by 8
Metadata
- Authors
- Douglas, P. M., & Dillin, A.
- Venue
- Journal of Cell Biology
- Publisher
- Rockefeller University Press
- Published
- 2010-09-06
- Volume
- 190
- Issue
- 5
- Pages
- 719-729
- ISSN
- 0021-9525 (ISSN-L)
- 1540-8140
- OpenAlex
- W2137209191
- Cited by
- 372
- References
- 37
- FWCI
- 6.52
- Type
- journal article
- Language
- en
- Open access
- green
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