ReviewJournal of translational medicine2021
Multi-omics approach to COVID-19: a domain-based literature review.
Review in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Molecular exploration of host-pathogen interactions in severeFrontiers in medicine · 2025Pooled it
- Pitfalls in complement analysis: A systematic literature review of assessing complement activation.Frontiers in immunology · 2022Pooled it
- HLA-E-restricted SARS-CoV-2 epitopes drive CD8Journal of translational medicine · 2026Article
- Potential Resistance Mechanisms Exhibited by Cystic Fibrosis Patients Against SARS-CoV-2.Viruses · 2025Review
- Innate immune response in COVID-19: single-cell multi-omics profile of NK lymphocytes in a clinical case series.Cell communication and signaling : CCS · 2024Article
- COVID-19: A complex disease with a unique metabolic signature.PLoS pathogens · 2023Article
- Multiplatform analyses reveal distinct drivers of systemic pathogenesis in adult versus pediatric severe acute COVID-19.Nature communications · 2023Article
- Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS.Molecular medicine (Cambridge, Mass.) · 2023Article
- Lung T cell response in COVID-19.Frontiers in immunology · 2023Review
- The immune response as a double-edged sword: The lesson learnt during the COVID-19 pandemic.Immunology · 2022Review
- Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS.medRxiv : the preprint server for health sciences · 2022Article
- An integrated analysis and comparison of serum, saliva and sebum for COVID-19 metabolomics.Scientific reports · 2022Article
- Kinetics of the B- and T-Cell Immune Responses After 6 Months From SARS-CoV-2 mRNA Vaccination in Patients With Rheumatoid Arthritis.Frontiers in immunology · 2022Article
- Network Embedding Across Multiple Tissues and Data Modalities Elucidates the Context of Host Factors Important for COVID-19 Infection.Frontiers in genetics · 2022Article
- Rare Variants in Inborn Errors of Immunity Genes Associated With Covid-19 Severity.Frontiers in cellular and infection microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
backgroundOmics 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.
methodsThe 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.
resultsThe 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.
conclusionsMulti-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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.