Potentially predictive humoral immune response markers in CO
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Researchers have recently published a paper which identifies five immune response markers which, collectively, were able to correctly classify both convalescent COVID-19 patients and those who did not survive the disease. The study was published in the journal Immunity.

Researchers responsible for the enrollment, collection, and management of the clinical work in this study, collected samples hospitalized COVID-19 patients. Overall, this study used samples from a cohort of 22 individuals, 12 of whom recovered, and 10 of whom died.

The team used systems serology technique, an approach that relies on 60+ assays to create a detailed profile of the immune response, to compare the immune responses of those who had survived to those who had not.

This immunodominance shift could be detected by measuring five immune response markers:
-- IgM and IgA1 responses to S protein and antibody-dependent complement deposit
-- IgM, and IgA2 response to N protein.

Using these five markers, researchers were able to build a model that could correctly classify clinical samples as belonging to deceased or convalesced individuals. In order to verify this model, 40 clinical COVID-19 samples from Boston, 20 from convalesced individuals and 20 from deceased patients, were assayed.

The results showed the same S protein to N protein shift in immunodominance in deceased individuals compared to convalesced ones. Furthermore, in the samples analyzed, this immunodominance shift was more predictive of recovery or death than using demographic factors such as age or sex.

Source: https://www.sciencedirect.com/science/article/pii/S1074761320303277
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