[HTML][HTML] IP-10 and MCP-1 as biomarkers associated with disease severity of COVID-19

Y Chen, J Wang, C Liu, L Su, D Zhang, J Fan… - Molecular …, 2020 - Springer
Y Chen, J Wang, C Liu, L Su, D Zhang, J Fan, Y Yang, M Xiao, J Xie, Y Xu, Y Li, S Zhang
Molecular Medicine, 2020Springer
Background COVID-19 is a viral respiratory disease caused by the severe acute respiratory
syndrome-Coronavirus type 2 (SARS-CoV-2). Patients with this disease may be more prone
to venous or arterial thrombosis because of the activation of many factors involved in it,
including inflammation, platelet activation and endothelial dysfunction. Interferon gamma
inducible protein-10 (IP-10), monocyte chemoattractant protein-1 (MCP-1) and macrophage
inflammatory protein 1-alpha (MIP1α) are cytokines related to thrombosis. Therefore, this …
Background
COVID-19 is a viral respiratory disease caused by the severe acute respiratory syndrome-Coronavirus type 2 (SARS-CoV-2). Patients with this disease may be more prone to venous or arterial thrombosis because of the activation of many factors involved in it, including inflammation, platelet activation and endothelial dysfunction. Interferon gamma inducible protein-10 (IP-10), monocyte chemoattractant protein-1 (MCP-1) and macrophage inflammatory protein 1-alpha (MIP1α) are cytokines related to thrombosis. Therefore, this study focused on these three indicators in COVID-19, with the hope to find biomarkers that are associated with patients’ outcome.
Methods
This is a retrospective single-center study involving 74 severe and critically ill COVID-19 patients recruited from the ICU department of the Tongji Hospital in Wuhan, China. The patients were divided into two groups: severe patients and critically ill patients. The serum IP-10, MCP-1 and MIP1α level in both groups was detected using the enzyme-linked immunosorbent assay (ELISA) kit. The clinical symptoms, laboratory test results, and the outcome of COVID-19 patients were retrospectively analyzed.
Results
The serum IP-10 and MCP-1 level in critically ill patients was significantly higher than that in severe patients (P < 0.001). However, no statistical difference in MIP1α between the two groups was found. The analysis of dynamic changes showed that these indicators remarkably increased in patients with poor prognosis. Since the selected patients were severe or critically ill, no significant difference was observed between survival and death.
Conclusions
IP-10 and MCP-1 are biomarkers associated with the severity of COVID-19 disease and can be related to the risk of death in COVID-19 patients.
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