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ABSTRACT: Introduction
An unprecedented breadth of longitudinal viral and multi-scale immunological data has been gathered during SARS-CoV-2 infection. However, due to the high complexity, non-linearity, multi-dimensionality, mixed anatomic sampling, and possible autocorrelation of available immune data, it is challenging to identify the components of the innate and adaptive immune response that drive viral elimination. Novel mathematical models and analytical approaches are required to synthesize contemporaneously gathered cytokine, transcriptomic, flow cytometry, antibody response, and viral load data into a coherent story of viral control, and ultimately to discriminate drivers of mild versus severe infection.Methods
We investigated a dataset describing innate, SARS-CoV-2 specific
SUBMITTER: Byrne C
PROVIDER: S-EPMC11578959 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature