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DOI 10.3390/medicina61020189

Медицинская библиотека · Medicina (Kaunas, Lithuania) · 2025

Lymphocyte Inhibition Mechanisms and Immune Checkpoints in COVID-19: Insights into Prognostic Markers and Disease Severity.

Schniederova Martina, Bobcakova Anna, Grendar Marian, Markocsy Adam, Ceres Andrej, Cibulka Michal, Dobrota Dusan, Jesenak Milos

СтатьяНаблюдательное исследованиеПеревод в очереди

Аннотация

Background and

Objectives

Immune checkpoint inhibitors such as PD-1 and TIM-3 play an important role in regulating the host immune response and are proposed as potential prognostic markers and therapeutic targets in severe cases of COVID-19. We evaluated the expression of PD-1 and TIM-3 on T cells, as well as the concentration of sPD-1 in plasma, to clarify the role of these molecules in patients infected with SARS-CoV-2. Materials and

Methods

In this retrospective observational study, we analysed the expression of PD-1 and TIM-3 on CD4+ and CD8+ T cells upon admission and after 7 days of hospitalisation in 770 adult patients. We also evaluated sPD-1 levels in the plasma of 145 patients at different stages of COVID-19 and of 11 control subjects. Molecules were determined using conventional flow cytometry and ELISA and the data were statistically processed.

Results

We observed a significantly higher expression of PD-1 on CD4+ cells in deceased patients than in those with mild-to-moderate disease. All patients with COVID-19 exhibited a significantly higher expression of TIM-3 on both CD4+ and CD8+ T cells compared to controls. After 1 week of hospitalisation, there was no significant change in PD-1 or TIM-3 expression on CD4+ or CD8+ T cells across the studied groups. sPD-1 concentrations were not significantly different between survivors and non-survivors. Plasma sPD-1 levels did not correlate with PD-1 expression on T cells, but a significant correlation was observed between CD4+ PD-1 and CD8+ PD-1. Using machine-learning algorithms, we supported our observations and confirmed immunological variables capable of predicting survival, with AUC = 0.786.

Conclusions

Analysis of the immune response may be useful for monitoring and predicting the course of COVID-19 upon admission. However, it is essential to evaluate complex immune parameters in conjunction with other key clinical and laboratory indicators.

Для цитирования: Schniederova Martina, Bobcakova Anna, Grendar Marian, Markocsy Adam, Ceres Andrej, Cibulka Michal, Dobrota Dusan, Jesenak Milos. Lymphocyte Inhibition Mechanisms and Immune Checkpoints in COVID-19: Insights into Prognostic Markers and Disease Severity.. Medicina (Kaunas, Lithuania). 2025. DOI: 10.3390/medicina61020189.

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