AI Article Synopsis

  • Infection with the novel coronavirus SARS-CoV-2 can lead to various forms of COVID-19, with some patients progressing to critical stages requiring ICU care and mechanical ventilation.
  • This study analyzed immune response parameters in blood samples from 109 COVID-19 patients to identify biomarkers that could predict who might develop severe disease.
  • Findings showed that patients with severe COVID-19 had a strong inflammatory response but poor immune function, highlighting the need to improve cytotoxic responses against the virus while managing excessive inflammation.

Article Abstract

Infection by novel coronavirus SARS-CoV-2 causes different presentations of COVID-19 and some patients may progress to a critical, fatal form of the disease that requires their admission to ICU and invasive mechanical ventilation. In order to predict in advance which patients could be more susceptible to develop a critical form of COVID-19, it is essential to define the most adequate biomarkers. In this study, we analyzed several parameters related to the cellular immune response in blood samples from 109 patients with different presentations of COVID-19 who were recruited in Hospitals and Primary Healthcare Centers in Madrid, Spain, during the first pandemic peak between April and June 2020. Hospitalized patients with the most severe forms of COVID-19 showed a potent inflammatory response that was not translated into an efficient immune response. Despite the high levels of effector cytotoxic cell populations such as NK, NKT and CD8+ T cells, they displayed immune exhaustion markers and poor cytotoxic functionality against target cells infected with pseudotyped SARS-CoV-2 or cells lacking MHC class I molecules. Moreover, patients with critical COVID-19 showed low levels of the highly cytotoxic TCRγδ+ CD8+ T cell subpopulation. Conversely, CD4 count was greatly reduced in association to high levels of Tregs, low plasma IL-2 and impaired Th1 differentiation. The relative importance of these immunological parameters to predict COVID-19 severity was analyzed by Random Forest algorithm and we concluded that the most important features were related to an efficient cytotoxic response. Therefore, efforts to fight against SARS-CoV-2 infection should be focused not only to decrease the disproportionate inflammatory response, but also to elicit an efficient cytotoxic response against the infected cells and to reduce viral replication.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187764PMC
http://dx.doi.org/10.3389/fimmu.2021.665329DOI Listing

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