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Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment.


ABSTRACT: The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide. Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well as its secondary effects, there is currently a pressing need to generate new insights into the SARS-CoV-2 induced host response. Biomedical data can help to investigate new aspects of the COVID-19 pathogenesis, but source heterogeneity represents a major drawback and limitation. In this work, we applied data integration methods to develop a Unified Knowledge Space (UKS) and used it to identify a new set of genes associated with SARS-CoV-2 host response, both in vitro and in vivo. Functional analysis of these genes reveals possible long-term systemic effects of the infection, such as vascular remodelling and fibrosis. Finally, we identified a set of potentially relevant drugs targeting proteins involved in multiple steps of the host response to the virus.

SUBMITTER: Pavel A 

PROVIDER: S-EPMC7929418 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment.

Pavel Alisa A   Del Giudice Giusy G   Federico Antonio A   Di Lieto Antonio A   Kinaret Pia A S PAS   Serra Angela A   Greco Dario D  

Briefings in bioinformatics 20210301 2


The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide. Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well as its secondary effects, there is currently a pressing need to generate new insights into the SARS-CoV-2 induced host response. Biomedical data can help to investigate new aspects of the COVID-19 pathogenesis, but source heterogeneity represents a major drawback and limitation. In this work, we applied data integr  ...[more]

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