Evidence map›Paper›PMID 33569598›Full record

ArticleBriefings in bioinformatics2021

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

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

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  5. A Multi-Dimensional Approach to Map Disease Relationships Challenges Classical Disease Views.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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  18. Network analytics for drug repurposing in COVID-19.Briefings in bioinformatics · 2022
    Article
  19. Article
  20. Network Analysis of Microarray Data.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Alisa PavelFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Giusy Del GiudiceFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Antonio FedericoFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Antonio Di LietoDepartment of Forensic Psychiatry, Aarhus University, Aarhus, Denmark.
Pia A S KinaretInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Angela SerraFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Dario GrecoFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Tampere University · FIUniversity of Helsinki · FIAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19 Drug TreatmentAntiviral AgentsCOVID-19Genes, ViralHumansSARS-CoV-2TranscriptomeAntiviral AgentscoronavirusCOVID-19data integrationdrug repositioningdrug targetingmulti-layer network analysisSARS-CoV-2unified knowledge spacevirus–host interaction

Identifiers

PMID33569598
PMCPMC7929418
OpenAlexW3126541761

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.