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.
Montaldo, C., Messina, F., Abbate, I., Antonioli, M., Bordoni, V., Aiello, A., et al. (2021). Multi-omics approach to COVID-19: a domain-based literature review. JOURNAL OF TRANSLATIONAL MEDICINE, 19(1), 501 [10.1186/s12967-021-03168-8].
|Titolo:||Multi-omics approach to COVID-19: a domain-based literature review|
|Data di pubblicazione:||2021|
|Citazione:||Montaldo, C., Messina, F., Abbate, I., Antonioli, M., Bordoni, V., Aiello, A., et al. (2021). Multi-omics approach to COVID-19: a domain-based literature review. JOURNAL OF TRANSLATIONAL MEDICINE, 19(1), 501 [10.1186/s12967-021-03168-8].|
|Appare nelle tipologie:||1.1 Articolo in rivista|