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Golden Syrian hamster as a model to study cardiovascular complications associated with SARS-CoV-2 infection
- Source :
- eLife, eLife, Vol 11 (2022)
- Publication Year :
- 2022
- Publisher :
- eLife Sciences Publications, Ltd, 2022.
-
Abstract
- Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in the Golden Syrian hamster causes lung pathology that resembles human coronavirus disease (COVID-19). However, extrapulmonary pathologies associated with SARS-CoV-2 infection and post-COVID sequelae remain to be understood. Here, we show, using a hamster model, that the early phase of SARS-CoV-2 infection leads to an acute inflammatory response and lung pathologies, while the late phase of infection causes cardiovascular complications (CVCs) characterized by ventricular wall thickening associated with increased ventricular mass/body mass ratio and interstitial coronary fibrosis. Molecular profiling further substantiated our findings of CVC as SARS-CoV-2-infected hamsters showed elevated levels of serum cardiac troponin I, cholesterol, low-density lipoprotein, and long-chain fatty acid triglycerides. Serum metabolomics profiling of SARS-CoV-2-infected hamsters identified N-acetylneuraminate, a functional metabolite found to be associated with CVC, as a metabolic marker was found to be common between SARS-CoV-2-infected hamsters and COVID-19 patients. Together, we propose hamsters as a suitable animal model to study post-COVID sequelae associated with CVC, which could be extended to therapeutic interventions.
- Subjects :
- QH301-705.5
Science
General Biochemistry, Genetics and Molecular Biology
Animals
Humans
Biology (General)
Triglycerides
Microbiology and Infectious Disease
General Immunology and Microbiology
Mesocricetus
SARS-CoV-2
General Neuroscience
cardiovascular
Troponin I
COVID-19
General Medicine
hamster
Lipoproteins, LDL
Disease Models, Animal
Cholesterol
Cardiovascular Diseases
SARS-CoV2
Medicine
Female
Other
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 2050084X
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- eLife
- Accession number :
- edsair.doi.dedup.....859f72b9c9e421d77d24d7d72c11d3a6