Different Prognostic Role of Soluble PD-L1 in the Course of Severe and Non-Severe COVID-19.
Francesco SabbatinoPasquale PaglianoCarmine SellittoBerenice StefanelliGraziamaria CorbiValentina ManzoEmanuela De BellisLuigi LiguoriFrancesco Antonio SalzanoStefano PepeFilippelli AmeliaValeria ContiPublished in: Journal of clinical medicine (2023)
Understanding the link between COVID-19 and patient immune characteristics is crucial. We previously demonstrated that high levels of the soluble Programmed Death-Ligand1 (sPD-L1) at the beginning of the infection correlated with low lymphocyte number and high C-reactive protein (CRP), longer length of stay (LOS), and death. This study investigated whether sPD-L1 can be a prognosis biomarker during COVID-19. Severe and non-severe COVID-19 patients were enrolled at the University Hospital of Salerno. During hospitalization, at admission, and after 12-14 days, patients' data were collected, and sPD-L1 levels were measured by enzyme-linked immunosorbent assay. The peripheral lymphocyte number negatively correlated with the time of negativization ( p = 0.006), length of stay (LOS) ( p = 0.032), and CRP ( p = 0.004), while sPD-L1 positively correlated with LOS ( p = 0.015). Patients with increased sPD-L1 and lymphocyte number showed a shorter LOS than those with decreased sPD-L1 and lymphocyte number ( p = 0.038) and those with increased sPD-L1 and decreased lymphocyte number ( p = 0.025). Moreover, patients with increased sPD-L1 and decreased CRP had a shorter LOS than those with increased sPD-L1 and CRP ( p = 0.034) and those with decreased sPD-L1 and CRP ( p = 0.048). In conclusion, while at an early phase of COVID-19, sPD-L1 promotes an immune escape, later, it might act to dampen an excessive immune response, proving its role in COVID-19 prognosis.
Keyphrases
- sars cov
- coronavirus disease
- immune response
- early onset
- peripheral blood
- end stage renal disease
- emergency department
- chronic kidney disease
- high throughput
- machine learning
- physical activity
- body mass index
- mass spectrometry
- dendritic cells
- deep learning
- high resolution
- patient reported outcomes
- single cell
- chemotherapy induced