National Institute for Infectious Diseases, "Lazzaro Spallanzani" - IRCCS, Via Portuense, 292, 00149, Rome, Italy.
Dept. Biology, University of Rome Tor Vergata, Via della Ricerca scientifica 1, Rome, Italy.
J Transl Med. 2021 Dec 7;19(1):501. doi: 10.1186/s12967-021-03168-8.
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.
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.
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.
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.
随着实验室技术的快速进步，在 COVID-19 大流行期间，产生了大量的组学数据。我们的目的是利用组学数据来突出特定途径的参与，以及细胞类型和器官的参与，在 COVID-19 的病理生理学中，并突出它们与 SARS-CoV-2 感染的临床表型的联系。
分析基于域模型，其中域是指一个概念存储库，有助于总结多个不同层次涉及的生物途径。在分析中考虑了相关的域：病毒、途径和表型。为每个域定义了一个跨学科的专家工作组，以进行独立的文献范围审查。
分析表明，先天免疫反应失调的途径（即补体激活、炎症反应、中性粒细胞激活和脱颗粒、血小板脱颗粒）会影响 COVID-19 的进展和结果。这些结果与几项临床研究一致。
多组学方法可以帮助进一步研究疾病的未知方面。然而，疾病机制过于复杂，不能仅用单个分子特征来解释，因此有必要考虑采用综合方法来确定严重程度的特征。
