Multi-cohort analysis of host immune response identifies conserved protective and detrimental modules associated with severity irrespective of virus
Preprint
Abstract
SARS-CoV-2 pandemic, the fourth pandemic of the decade, has underscored gaps in global pandemic preparedness and the need for generalizable tests to avert overwhelming healthcare systems worldwide, irrespective of a virus. We integrated 4,780 blood transcriptome profiles from patients infected with one of 16 viruses across 34 independent cohorts from 18 countries, and 71 scRNA-seq profiles of 264,224 immune cells across three independent cohorts. We found a myeloid cell-dominated conserved host response associated with severity. It showed increased hematopoiesis, myelopoiesis, and myeloid-derived suppressor cells with increased severity. We identified four gene modules that delineate distinct trajectories associated with mild and severe outcomes, and show the interferon response was decoupled from protective host response during severe viral infection. These modules distinguished non-severe from severe viral infection with clinically useful accuracy. Together, our findings provide insights into immune response dynamics during viral infection, and identify factors that may influence patient outcomes.Keywords
All Related Versions
- Published version: Immunity, 54 (4), 753.
This publication has 57 references indexed in Scilit:
- Orosomucoid 1 drives opportunistic infections through the polarization of monocytes to the M2b phenotypeCytokine, 2015
- Vitamin D–dependent induction of cathelicidin in human macrophages results in cytotoxicity against high-grade B cell lymphomaScience Translational Medicine, 2015
- Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2Genome Biology, 2014
- IFITM-Family Proteins: The Cell's First Line of Antiviral DefenseAnnual Review of Virology, 2014
- STAR: ultrafast universal RNA-seq alignerBioinformatics, 2012
- Qualimap: evaluating next-generation sequencing alignment dataBioinformatics, 2012
- Demand-adapted regulation of early hematopoiesis in infection and inflammationBlood, 2012
- Adjusting batch effects in microarray expression data using empirical Bayes methodsBiostatistics, 2006
- Empirical bayes methods and false discovery rates for microarraysGenetic Epidemiology, 2002
- Thioredoxin, a Redox Enzyme Released in Infection and Inflammation, Is a Unique Chemoattractant for Neutrophils, Monocytes, and T CellsJournal of Experimental Medicine, 1999