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新冠病毒感染中的淋巴细胞抑制机制与免疫检查点:对预后标志物和疾病严重程度的见解

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

作者信息

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

机构信息

Institute of Clinical Immunology and Medical Genetics, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin University Hospital, 03659 Martin, Slovakia.

Department of Pulmonology and Phthisiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin University Hospital, 03659 Martin, Slovakia.

出版信息

Medicina (Kaunas). 2025 Jan 22;61(2):189. doi: 10.3390/medicina61020189.

Abstract

: 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. 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. 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. 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.

摘要

免疫检查点抑制剂如PD - 1和TIM - 3在调节宿主免疫反应中起重要作用,并被提议作为重症COVID - 19病例的潜在预后标志物和治疗靶点。我们评估了T细胞上PD - 1和TIM - 3的表达以及血浆中sPD - 1的浓度,以阐明这些分子在感染SARS-CoV-2患者中的作用。在这项回顾性观察研究中,我们分析了770例成年患者入院时和住院7天后CD4和CD8 T细胞上PD - 1和TIM - 3的表达。我们还评估了145例处于COVID - 19不同阶段的患者以及11名对照受试者血浆中的sPD - 1水平。使用传统流式细胞术和酶联免疫吸附测定法测定分子,并对数据进行统计学处理。我们观察到死亡患者CD4细胞上PD - 1的表达明显高于轻至中度疾病患者。与对照组相比,所有COVID - 19患者CD4和CD8 T细胞上TIM - 3的表达均明显更高。住院1周后,各研究组CD4或CD8 T细胞上PD - 1或TIM - 3的表达无明显变化。幸存者和非幸存者之间sPD - 1浓度无明显差异。血浆sPD - 1水平与T细胞上PD - 1的表达无相关性,但观察到CD4 PD - 1和CD8 PD - 1之间存在显著相关性。使用机器学习算法,我们支持了我们的观察结果,并确认了能够预测生存的免疫变量,曲线下面积(AUC)= 0.786。免疫反应分析可能有助于在入院时监测和预测COVID - 19的病程。然而,结合其他关键临床和实验室指标评估复杂的免疫参数至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e462/11857393/5c8554cc988f/medicina-61-00189-g001.jpg

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