PreprintCited by 80Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model OrganismsSingle-cell and spatial transcriptomics

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Senolytic therapy alleviates physiological human brain aging and COVID-19 neuropathology

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Preprint — published as 10.1038/s43587-023-00519-6 · Paper page

Abstract

Aging is the primary risk factor for most neurodegenerative diseases, and recently coronavirus disease 2019 (COVID-19) has been associated with severe neurological manifestations that can eventually impact neurodegenerative conditions in the long-term. The progressive accumulation of senescent cells in vivo strongly contributes to brain aging and neurodegenerative co-morbidities but the impact of virus-induced senescence in the aetiology of neuropathologies is unknown. Here, we show that senescent cells accumulate in physiologically aged brain organoids of human origin and that senolytic treatment reduces inflammation and cellular senescence; for which we found that combined treatment with the senolytic drugs dasatinib and quercetin rejuvenates transcriptomic human brain aging clocks. We further interrogated brain frontal cortex regions in postmortem patients who succumbed to severe COVID-19 and observed increased accumulation of senescent cells as compared to age-matched control brains from non-COVID-affected individuals. Moreover, we show that exposure of human brain organoids to SARS-CoV-2 evoked cellular senescence, and that spatial transcriptomic sequencing of virus-induced senescent cells identified a unique SARS-CoV-2 variant-specific inflammatory signature that is different from endogenous naturally-emerging senescent cells. Importantly, following SARS-CoV-2 infection of human brain organoids, treatment with senolytics blocked viral retention and prevented the emergence of senescent corticothalamic and GABAergic neurons. Furthermore, we demonstrate in human ACE2 overexpressing mice that senolytic treatment ameliorates COVID-19 brain pathology following infection with SARS-CoV-2. In vivo treatment with senolytics improved SARS-CoV-2 clinical phenotype and survival, alleviated brain senescence and reactive astrogliosis, promoted survival of dopaminergic neurons, and reduced viral and senescence-associated secretory phenotype gene expression in the brain. Collectively, our findings demonstrate SARS-CoV-2 can trigger cellular senescence in the brain, and that senolytic therapy mitigates senescence-driven brain aging and multiple neuropathological sequelae caused by neurotropic viruses, including SARS-CoV-2.

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Research works printed but not linked: 54

  1. 10.1038/s41591-021-01283-z · DOI · Paper page
  2. 10.1038/s41591-022-01810-6 · DOI · Paper page
  3. 10.1016/j.neuron.2022.10.006 · DOI · Paper page
  4. 10.1016/J.BBI.2021.12.020 · DOI · Paper page
  5. 2022, Fatigue and cognitive impairment after COVID-19: A prospective multicentre study, EClinicalMedicine, 53, 101651, 10.1016/j.eclinm.2022.101651 · DOI
  6. Davis, H. E. , McCorkell, L. , Vogel, J. M. & Topol, E. J. Long COVID: major findings, mechanisms and recommendations. Nat Rev Microbiol (2023).https://doi.org:10.1038/s41579-022-00846-2 · DOI · Paper page
  7. Song, E. et al. Neuroinvasion of SARS-CoV-2 in human and mouse brain. J Exp Med 218 (2021). https://doi.org:10.1084/jem.20202135 · DOI · Paper page
  8. 2020, SARS-CoV-2 infects human neural progenitor cells and brain organoids, Cell Res, 30, 928, 10.1038/s41422-020-0390-x · DOI
  9. 2021, Olfactory transmucosal SARS-CoV-2 invasion as a port of central nervous system entry in individuals with COVID-19, Nat Neurosci, 24, 168, 10.1038/s41593-020-00758-5 · DOI · Paper page
  10. 2020, SARS-CoV-2 Infects the Brain Choroid Plexus and Disrupts the Blood-CSF Barrier in Human Brain Organoids, Cell Stem Cell, 27, 951, 10.1016/j.stem.2020.10.001 · DOI
  11. Samudyata et al. SARS-CoV-2 promotes microglial synapse elimination in human brain organoids. Mol Psychiatry (2022). https://doi.org:10.1038/s41380-022-01786-2 · DOI
  12. Albornoz, E. A. et al. SARS-CoV-2 drives NLRP3 inflammasome activation in human microglia through spike protein. Mol Psychiatry (2022). https://doi.org:10.1038/s41380-022-01831-0 · DOI
  13. 10.1016/j.immuni.2021.06.002 · DOI
  14. 10.1126/science.abd2985 · DOI · Paper page
  15. Stein, S. R. et al. SARS-CoV-2 infection and persistence in the human body and brain at autopsy. Nature (2022). https://doi.org:10.1038/s41586-022-05542-y · DOI
  16. 10.1038/s41586-022-04569-5 3 · DOI · Paper page
  17. Mavrikaki, M. , Lee, J. D. , Solomon, I. H. & Slack, F. J. Severe COVID-19 is associated with molecular signatures of aging in the human brain. Nature Aging (2022). https://doi.org:10.1038/s43587-022-00321-w · DOI
  18. 2021, Virus-induced senescence is a driver and therapeutic target in COVID-19, Nature, 599, 283, 10.1038/s41586-021-03995-1 · DOI · Paper page
  19. Lopez-Otin, C. , Blasco, M. A. , Partridge, L. , Serrano, M. & Kroemer, G. Hallmarks of aging: An expanding universe. Cell (2022). https://doi.org:10.1016/j.cell.2022.11.001 · DOI · Paper page
  20. Di Micco, R. , Krizhanovsky, V. , Baker, D. & d’Adda di Fagagna, F. Cellular senescence in ageing: from mechanisms to therapeutic opportunities. Nat Rev Mol Cell Biol (2020). https://doi.org:10.1038/s41580-020-00314-w · DOI · Paper page
  21. 10.1038/s41593-019-0372-9 · DOI · Paper page
  22. 10.1038/s41586-018-0543-y · DOI · Paper page
  23. 10.1111/acel.13296 · DOI · Paper page
  24. 10.1038/s43587-021-00121-8 · DOI · Paper page
  25. 2022, Cellular senescence and senolytics: the path to the clinic, Nat Med, 28, 1556, 10.1038/s41591-022-01923-y · DOI · Paper page
  26. 2018, Oral administration of fisetin promotes the induction of hippocampal long-term potentiation in vivo, J Pharmacol Sci, 136, 42, 10.1016/j.jphs.2017.12.008 · DOI
  27. 10.1091/mbc.E11-10-0884 · DOI · Paper page
  28. 10.1126/science.abm2052 · DOI · Paper page
  29. 10.15252/embj.2020106230 · DOI · Paper page
  30. Kulasinghe, A. et al. Transcriptomic profiling of cardiac tissues from SARS-CoV-2 patients identifies DNA damage. Immunology (2022). https://doi.org:10.1111/imm.13577 · DOI
  31. 2015, The Molecular Signatures Database (MSigDB) hallmark gene set collection, Cell Syst, 1, 417, 10.1016/j.cels.2015.12.004 · DOI · Paper page
  32. 10.1038/s41467-022-28020-5 · DOI
  33. 10.1523/JNEUROSCI.1325-14.2014 · DOI
  34. 10.1128/JVI.02012-06 · DOI · Paper page
  35. 2015, Cell and brain tissue imaging of the flavonoid fisetin using label-free two-photon microscopy, Neurochem Int, 89, 243, 10.1016/j.neuint.2015.08.003 · DOI
  36. 2021, The Intersection of Parkinson’s Disease, Viral Infections, and COVID-19, Mol Neurobiol, 58, 4477, 10.1007/s12035-021-02408-8 · DOI
  37. 2022, Long-term neurologic outcomes of COVID-19, Nat Med, 28, 2406, 10.1038/s41591-022-02001-z · DOI · Paper page
  38. 10.1038/s41593-020-00783-4 · DOI · Paper page
  39. 2022, Cellular senescence in neuroinflammatory disease: new therapies for old cells?, Trends Mol Med, 28, 850, 10.1016/j.molmed.2022.07.003 · DOI
  40. 10.1016/j.celrep.2017.12.092 · DOI · Paper page
  41. 10.1111/acel.12840 · DOI · Paper page
  42. 10.1016/j.cmet.2018.12.008 · DOI · Paper page
  43. 2022, DNA damage response at telomeres boosts the transcription of SARS-CoV-2 receptor ACE2 during aging, EMBO Rep, 23, e53658, 10.15252/embr.202153658 · DOI · Paper page
  44. 10.1111/acel.12848 · DOI · Paper page
  45. 10.1016/j.bbi.2019.07.003 · DOI
  46. Aguado, J. et al. Inhibition of the cGAS-STING pathway ameliorates the premature senescence hallmarks of Ataxia-Telangiectasia brain organoids. Aging Cell, e13468 (2021). https://doi.org:10.1111/acel.13468 · DOI · Paper page
  47. 10.1038/s41467-021-23779-5 · DOI
  48. 2021, An Optimized High-Throughput Immuno-Plaque Assay for SARS-CoV-2, Front Microbiol, 12, 625136, 10.3389/fmicb.2021.625136 · DOI
  49. 10.1038/s41467-019-13018-3 · DOI · Paper page
  50. 10.1186/s13059-014-0550-8 · DOI · Paper page
  51. 10.1016/j.cmet.2019.06.018 · DOI · Paper page
  52. 10.1073/pnas.0506580102 · DOI · Paper page
  53. 2022, Nucleocapsid Specific Diagnostics for the Detection of Divergent SARS-CoV-2 Variants, Front Immunol, 13, 926262, 10.3389/fimmu.2022.926262 · DOI
  54. 10.1038/s41598-021-82833-w · DOI

Metadata

Authors
Aguado, J., Amarilla, A. A., Taherian Fard, A., Albornoz, E. A., Tyshkovskiy, A., Schwabenland, M., Chaggar, H. K., Modhiran, N., Gómez-Inclán, C., Javed, I., Baradar, A. A., Liang, B., Dharmaratne, M., Pietrogrande, G., Padmanabhan, P., Freney, M. E., Parry, R., Sng, J. D. J., Isaacs, A., Khromykh, A. A., Rojas-Fernandez, A., Davis, T. P., Prinz, M., Bengsch, B., Gladyshev, V. N., Woodruff, T. M., Mar, J. C., Watterson, D., & Wolvetang, E. J.
Affiliations
  • The University of Queensland (AU)
  • Brigham and Women's Hospital (US)
  • University of Freiburg (DE)
  • Broad Institute (US)
Corresponding author
Aguado, Julio
Venue
Nature Aging
Publisher
openRxiv
Published
2023-01-18
Volume
3
Issue
12
Pages
1561-1575
ISSN
2662-8465 (ISSN-L)
OpenAlex
W4388626094
Cited by
80
References
3
Citations by year
2026: 29 · 2025: 29 · 2024: 17 · 2023: 5
FWCI
14.21
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Nature Aging (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UniSA Research Outputs Repository (University of South Australia) (submittedVersion, cc-by)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
Funders
  • Brigham and Women's Hospital
  • Children's Hospital Foundation
  • Broad Institute
  • University of Oxford
  • Deutsche Forschungsgemeinschaft (413517907)
  • Fondation Jérôme Lejeune
  • University of South Australia
  • University of Queensland (UQECR2058457)
  • Albert-Ludwigs-Universität Freiburg
  • Universidad Austral de Chile
  • Lomonosov Moscow State University
  • Agencia Nacional de Investigación y Desarrollo (3220635, 1200427)
  • Medical Research Council
  • Australian Research Council (DP210103401)
  • National Health and Medical Research Council (2012883, 2001408, 2009957)
  • Queensland Brain Institute
  • Medizinische Fakultät der Albert-Ludwigs-Universität Freiburg
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
senolytic therapy, cellular senescence, brain aging, SARS-CoV-2, human brain organoids, age-related inflammation, dopaminergic neurons, neuroinflammation, viral replication, neurodegeneration
MeSH terms
COVID-19, SARS-CoV-2, Senotherapeutics, Aged, Aging, Animals, Brain, Humans, Mice

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