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Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature.

Antonio Cappuccio1, Daniel G Chawla2, Xi Chen3

  • 1Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Cell Systems
|December 22, 2022
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Summary

A new COVID-19 host response signature in blood was identified using multi-omics data. This robust signature accurately detects COVID-19 without cross-reactivity, offering improved diagnostic potential.

Keywords:
COVID-19cross-reactivityepigenomicshost response signatureinterpretabilityoptimizationplasmablastsrobustnesstranscriptomicsviral infection diagnosis

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Area of Science:

  • Immunology
  • Genomics
  • Pathogenesis

Background:

  • Understanding SARS-CoV-2 pathogenesis requires identifying host response signatures.
  • Existing diagnostic tools for COVID-19 can be improved through host response analysis.

Purpose of the Study:

  • To identify a robust and interpretable COVID-19 host response signature in blood.
  • To validate the signature's accuracy and specificity across diverse cohorts.
  • To explore the potential of this signature for improving diagnostic capabilities.

Main Methods:

  • Applied a multi-objective optimization framework to multi-omics data.
  • Validated the identified signature across multiple independent COVID-19 cohorts.
  • Utilized cell-type deconvolution and single-cell data analysis for interpretation.

Main Results:

  • Identified a novel COVID-19 signature regulated at transcriptional and epigenetic levels.
  • Demonstrated high specificity, with no cross-reactivity with other infections or comorbidities in 8,630 subjects.
  • Revealed complementary roles of plasmablasts (detection) and memory T cells (specificity).

Conclusions:

  • The identified signature is robust, interpretable, and specific for COVID-19 detection.
  • This framework offers a significant improvement over previously reported signatures.
  • The methodology is broadly applicable to other disease contexts.