Published August 9, 2022 | Version v1

Removal of senescent cells reduces the viral load and attenuates pulmonary and systemic inflammation in SARS-CoV-2-infected, aged hamsters

Description

Older age is one of the strongest risk factors for coronavirus disease 2019 (COVID-19) morbidity and mortality. In an older adult, the chronic accumulation of senescent cells can interfere with the immune system and accentuate inflammation. Here, we sought to determine whether age-associated cellular senescence contributes to the severity of COVID-19 by studying the well-established golden hamster model of severe acute respiratory syndrome coronavirus (SARS-CoV-2)-driven lung disease. We found that aged hamsters (22 months of age) accumulate senescent cells in the lungs and that the senolytic drug ABT-263 (a Bcl-2-family inhibitor) depletes these cells at baseline and during a SARS-CoV-2 infection (when the senescent cell count is typically elevated). Relative to young hamsters (2 months of age), aged hamsters had a greater viral load during the acute phase of infection and displayed higher levels of fibrosis and worse body weight recovery during the post-acute phase. Interestingly, early treatment with ABT-263 was associated with a significantly lower pulmonary viral load and an amelioration of COVID-19-like lung disease in aged (but not young) animals. ABT-263 treatment of aged animals was also associated with lower pulmonary and systemic levels of senescence-associated secretory phenotype factors. We conclude that the removal of senescent cells via treatment with a senolytic reduces the pathologic severity of SARS-CoV-2 infection in aged hamsters. As several senolytics have recently moved into early-stage clinical trials, our present findings have clear clinical relevance.

Files

Files (112.6 kB)

Name Size
md5:151b8f4225ff4194722f53a0c9e016dd
22.3 kB Download
md5:bf95f9a030045cc1601a4b6d261bb965
15.6 kB Download
md5:7366b3b50a63856c8a16320193b4bb8c
10.1 kB Download
md5:4819d4fa8e686b572353c065849fa8ca
13.8 kB Download
md5:2e99b8c078c05127382e79e7a047df05
17.5 kB Download
md5:09d8b9655849a6109e549dae0feacbea
10.1 kB Download
md5:3dc0d0f28b6552c8e8af018b66c4f101
11.6 kB Download
md5:9241147125fa436389c50a06cec23365
11.5 kB Download