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Early cellular and molecular signatures correlate with severity of West Nile Virus infection

Authors :
Ho-Joon Lee
Yujiao Zhao
Ira Fleming
Sameet Mehta
Xiaomei Wang
Brent Vander Wyk
Shannon E. Ronca
Heather Kang
Chih-Hung Chou
Benoit Fatou
Kinga K. Smolen
Ofer Levy
Clary B. Clish
Ramnik J. Xavier
Hanno Steen
David A. Hafler
J. Christopher Love
Alex K. Shalek
Leying Guan
Kristy O. Murray
Steven H. Kleinstein
Ruth R. Montgomery
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

Infection with West Nile Virus (WNV) can drive a wide range of responses, from asymptomatic to flu-like symptoms/fever or severe cases of encephalitis and death. To identify cellular and molecular signatures distinguishing WNV severity, we employed systems profiling of peripheral blood from asymptomatic and severely ill individuals infected with WNV. We interrogated immune responses longitudinally from acute infection through convalescence at 3 months and 1 year employing multiplexed single cell protein and transcriptional profiling (CyTOF and Seq-Well) complemented with matched serum proteomics and metabolomics. At the acute time point, we detected both an elevated proportion of pro-inflammatory markers in innate immune cell types and reduced frequency of regulatory T cell activity in participants with severe infection compared to those with asymptomatic infection. Single-cell transcriptomics of paired samples revealed that asymptomatic donors had higher expression of genes associated with innate immune pathways, in particular anti-inflammatory CD16+monocytes at the acute time point. A multi-omics analysis identified factors--beyond those from individual analyses--that distinguished immune state trajectory between severity groups. Here we highlighted the potential of systems immunology using multiple cell-type and cell-state-specific analyses to identify correlates of infection severity and host cellular activity contributing to an effective anti-viral response.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........84c96e4caceba737f2c89d1b143cf744
Full Text :
https://doi.org/10.1101/2023.05.14.540642