Expression Pattern of Cholesterol 25-Hydroxylase and Serum Level of 25-Hydroxycholesterol and Relevant Inflammatory Cytokines in Patients with Varying Disease Severity of COVID-19.
Mona RoozbehaniMohammad Hossein RazizadehHossein KeyvaniFatemeh NejatiSharareh SoleymaniLeila MousavizadehPublished in: Viral immunology (2023)
Cholesterol 25-hydroxylase ( CH25H ) and its product 25-hydroxycholesterol (25HC) showed antiviral effects against various viruses in vitro . CH25H expression is regulated in mice by pro-inflammatory cytokine interferons (IFNs) in mice but data on its possible correlation with IFNs in humans are still unclear. We examined gene expression of CH25H , IFN - α , and IFN - β and serum levels of 25HC in Iranian patients with mild and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Fifty intensive care unit (ICU) patients and outpatients with SARS-CoV-2 and 25 healthy controls were studied. Gene expression of CH25H and relevant inflammatory cytokines was quantified in peripheral blood mononuclear cells by real-time polymerase chain reaction. The expression of CH25H and serum levels of 25HC were significantly higher in ICU patients with SARS-CoV-2. Notably, IFN - α levels increased in healthy controls. However, compared to healthy controls, IFN - β was considerably higher in outpatients. Finally, statistical analysis shows that no correlation was found between CH25H and IFN - α expression; nevertheless, a lower correlation was found with IFN - β . The data revealed that CH25H and 25HC levels increase after SARS-CoV-2 infection. In other words, decreased levels of those factors in severe patients compared with mild patients may indicate the importance of their function in controlling the progression of the disease.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- gene expression
- intensive care unit
- end stage renal disease
- poor prognosis
- dendritic cells
- room temperature
- ejection fraction
- chronic kidney disease
- newly diagnosed
- coronavirus disease
- peritoneal dialysis
- dna methylation
- binding protein
- machine learning
- long non coding rna
- electronic health record
- deep learning
- patient reported
- data analysis
- insulin resistance
- artificial intelligence