Susceptibility of Fat Tissue to SARS-CoV-2 Infection in Female hACE2 Mouse Model.
Hariprasad ThangavelDhanya DhanyalayamKezia LizardoNeelam OswalEnriko DolgovDavid S PerlinJyothi F NagajyothiPublished in: International journal of molecular sciences (2023)
The coronavirus disease (COVID-19) is a highly contagious viral illness caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). COVID-19 has had a catastrophic effect globally causing millions of deaths worldwide and causing long-lasting health complications in COVID-19 survivors. Recent studies including ours have highlighted that adipose tissue can act as a reservoir where SARS-CoV-2 can persist and cause long-term health problems. Here, we evaluated the effect of SARS-CoV-2 infection on adipose tissue physiology and the pathogenesis of fat loss in a murine COVID-19 model using humanized angiotensin-converting enzyme 2 (hACE2) mice. Since epidemiological studies reported a higher mortality rate of COVID-19 in males than in females, we examined hACE2 mice of both sexes and performed a comparative analysis. Our study revealed for the first time that: (a) viral loads in adipose tissue and the lungs differ between males and females in hACE2 mice; (b) an inverse relationship exists between the viral loads in the lungs and adipose tissue, and it differs between males and females; and (c) CoV-2 infection alters immune signaling and cell death signaling differently in SARS-CoV-2 infected male and female mice. Overall, our data suggest that adipose tissue and loss of fat cells could play important roles in determining susceptibility to CoV-2 infection in a sex-dependent manner.
Keyphrases
- sars cov
- adipose tissue
- respiratory syndrome coronavirus
- coronavirus disease
- insulin resistance
- high fat diet induced
- high fat diet
- cell death
- mental health
- healthcare
- mouse model
- public health
- angiotensin converting enzyme
- risk factors
- type diabetes
- cell cycle arrest
- young adults
- health information
- fatty acid
- metabolic syndrome
- cardiovascular events
- human health
- coronary artery disease
- single cell
- cell proliferation
- social media
- data analysis