Multi-omics approach to COVID-19: a domain-based literature review

J Transl Med. 2021 Dec 7;19(1):501. doi: 10.1186/s12967-021-03168-8.

Abstract

Background: Omics data, driven by rapid advances in laboratory techniques, have been generated very quickly during the COVID-19 pandemic. Our aim is to use omics data to highlight the involvement of specific pathways, as well as that of cell types and organs, in the pathophysiology of COVID-19, and to highlight their links with clinical phenotypes of SARS-CoV-2 infection.

Methods: The analysis was based on the domain model, where for domain it is intended a conceptual repository, useful to summarize multiple biological pathways involved at different levels. The relevant domains considered in the analysis were: virus, pathways and phenotypes. An interdisciplinary expert working group was defined for each domain, to carry out an independent literature scoping review.

Results: The analysis revealed that dysregulated pathways of innate immune responses, (i.e., complement activation, inflammatory responses, neutrophil activation and degranulation, platelet degranulation) can affect COVID-19 progression and outcomes. These results are consistent with several clinical studies.

Conclusions: Multi-omics approach may help to further investigate unknown aspects of the disease. However, the disease mechanisms are too complex to be explained by a single molecular signature and it is necessary to consider an integrated approach to identify hallmarks of severity.

Keywords: COVID-19; Conceptual domain; Host signatures; Omics; Pathways; Phenotypes; SARS-CoV-2.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • COVID-19*
  • Humans
  • Immunity, Innate
  • Pandemics
  • SARS-CoV-2