Integrated longitudinal multiomics study identifies immune programs associated with acute COVID-19 severity and mortality
Jeremy P. Gygi; Cole Maguire; Ravi K. Patel; Pramod Shinde; Anna Konstorum; Casey P. Shannon; Leqi Xu; Annmarie Hoch · 2024 · Journal of Clinical Investigation
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUNDPatients hospitalized for COVID-19 exhibit diverse clinical outcomes, with outcomes for some individuals diverging over time even though their initial disease severity appears similar to that of other patients. A systematic evaluation of molecular and cellular profiles over the full disease course can link immune programs and their coordination with progression heterogeneity.METHODSWe performed deep immunophenotyping and conducted longitudinal multiomics modeling, integrating 10 assays for 1,152 Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) study participants and identif
Abstract by Jeremy P. Gygi; Cole Maguire; Ravi K. Patel; Pramod Shinde; Anna Konstorum; Casey P. Shannon; Leqi Xu; Annmarie Hoch, Journal of Clinical Investigation (2024) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1172/jci176640