Evidence map›Paper›PMID 35718334›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2022

In silico drug repurposing against SARS-CoV-2 using an integrative transcriptomic profiling approach: Hydrocortisone and Benzhydrocodone as potential drug candidates against COVID-19.

SeyedehMozhdeh Mirmohammadi, Anvarsadat Kianmehr, Amir Sabbaghian, Alireza Mohebbi, Hamid Shahbazmohammadi, Mehdi Sheykharabi, Zahra Bazzi

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In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

SeyedehMozhdeh MirmohammadiInfectious Diseases Research Center, Golestan University of Medical Sciences, Gorgan, Iran; Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Anvarsadat KianmehrInfectious Diseases Research Center, Golestan University of Medical Sciences, Gorgan, Iran; Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Golestan University of Medical Sciences, Gorgan, Iran. Electronic address: kiabiotpro@yahoo.com.
Amir SabbaghianDepartment of Molecular Medicine, School of Advanced Technologies in Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Alireza MohebbiVista Aria Rena Gene Inc., 4913817644 Gorgan, Iran.
Hamid ShahbazmohammadiEnzyme Technology Laboratory, Department of Biochemistry, Genetic and Metabolism Research Group, Pasteur Institute of Iran, Tehran, Iran.
Mehdi SheykharabiDepartment of Medical Nanotechnology, School of Advanced technologies in Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Zahra BazziDepartment of Medical Biotechnology, School of Advanced Technologies in Medicine, Golestan University of Medical Sciences, Gorgan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 pathogenesis is mainly attributed to dysregulated antiviral immune response, the prominent hallmark of COVID-19. As no established drugs are available against SARS-CoV-2 and developing new ones would be a big challenge, repurposing of existing drugs holds promise against COVID-19. Here, we used a signature-based strategy to delve into cellular responses to SARS-CoV-2 infection in order to identify potential host contributors in COVID-19 pathogenesis and to find repurposable drugs using in silico approaches. We scrutinized transcriptomic profile of various human alveolar cell sources infected with SARS-CoV-2 to determine up-regulated genes specific to COVID-19. Enrichment analysis revealed that the up-regulated genes were involved mainly in viral infectious disease, immune system, and signal transduction pathways. Analysis of protein-protein interaction network and COVID-19 molecular pathway resulted in identifying several anti-viral proteins as well as 11 host pro-viral proteins, ADAR, HBEGF, MMP9, USP18, JUN, FOS, IRF2, ICAM1, IFI35, CASP1, and STAT3. Finally, molecular docking of up-regulated proteins and all FDA-approved drugs revealed that both Hydrocortisone and Benzhydrocodone possess high binding affinity for all pro-viral proteins. The suggested repurposed drugs should be subject to complementary in vitro and in vivo experiments in order to be evaluated in detail prior to clinical studies in potential management of COVID-19.

Indexed as

Antiviral AgentsCOVID-19 Drug TreatmentHydrocodoneHydrocortisoneSARS-CoV-2Drug RepositioningHumansMolecular Docking SimulationTranscriptomeAntiviral AgentsHydrocodoneHydrocortisoneCOVID-19Drug repurposingIn silicoSARS-CoV-2Transcriptomics

Identifiers

PMID35718334
PMCPMC9212771

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Registered trials

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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.