Evidence map›Paper›PMID 33312453›Full record

ArticleComputational and structural biotechnology journal2021

Transcriptomic signatures and repurposing drugs for COVID-19 patients: findings of bioinformatics analyses.

Guobing Li, Shasha Ruan, Xiaolu Zhao, Qi Liu, Yali Dou, Fengbiao Mao

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.5field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
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  4. Exploring the Therapeutic Potential ofMolecules (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Databases, Knowledgebases, and Software Tools for Virus Informatics.Advances in experimental medicine and biology · 2022
    Article
  11. Article
  12. Scale bar of aging trajectories for screening personal rejuvenation treatments.Computational and structural biotechnology journal · 2022
    Article
  13. Article
  14. In silico drug repurposing in COVID-19: A network-based analysis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Article
  15. Review
  16. Article
  17. Review
  18. Article
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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

6 authors at 4 institutions in 2 countries.

Guobing LiCenter of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China.
Shasha RuanDepartment of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Xiaolu ZhaoCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.
Qi LiuStem Cell Program, Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA 02115, USA.
Yali DouDepartment of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
Fengbiao MaoCenter of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China.
Peking University · CNBoston Children's Hospital · USUniversity of Michigan · USWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus SARS-CoV-2 is damaging the world's social and economic fabrics seriously. Effective drugs are urgently needed to decrease the high mortality rate of COVID-19 patients. Unfortunately, effective antiviral drugs or vaccines are currently unavailable. Herein, we systematically evaluated the effect of SARS-CoV-2 on gene expression of both lung tissue and blood from COVID-19 patients using transcriptome profiling. Differential gene expression analysis revealed potential core mechanism of COVID-19-induced pneumonia in which IFN-α, IFN-β, IFN-γ, TNF and IL6 triggered cytokine storm mediated by neutrophil, macrophage, B and DC cells. Weighted gene correlation network analysis identified two gene modules that are highly correlated with clinical traits of COVID-19 patients, and confirmed that over-activation of immune system-mediated cytokine release syndrome is the underlying pathogenic mechanism for acute phase of COVID-19 infection. It suggested that anti-inflammatory therapies may be promising regimens for COVID-19 patients. Furthermore, drug repurposing analysis of thousands of drugs revealed that TNFα inhibitor etanercept and γ-aminobutyric acid-B receptor (GABABR) agonist baclofen showed most significant reversal power to COVID-19 gene signature, so we are highly optimistic about their clinical use for COVID-19 treatment. In addition, our results suggested that adalimumab, tocilizumab, rituximab and glucocorticoids may also have beneficial effects in restoring normal transcriptome, but not chloroquine, hydroxychloroquine or interferons. Controlled clinical trials of these candidate drugs are needed in search of effective COVID-19 treatment in current crisis.

Identifiers

PMID33312453
PMCPMC7719282
OpenAlexW3103199050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.