Evidence map›Paper›PMID 34503440›Full record

ArticleMolecular medicine (Cambridge, Mass.)2021

Identifying FDA-approved drugs with multimodal properties against COVID-19 using a data-driven approach and a lung organoid model of SARS-CoV-2 entry.

Rodrigo R R Duarte, Dennis C Copertino, Luis P Iñiguez, Jez L Marston, Yaron Bram, Yuling Han, Robert E Schwartz, Shuibing Chen, Douglas F Nixon, Timothy R Powell

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

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  16. Organoid Studies in COVID-19 Research.International journal of stem cells · 2022
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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

10 authors at 2 institutions in 2 countries.

Rodrigo R R Duarte *Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, Cornell University, Belfer Research Building, 5th floor, 413 E. 69th St., New York, NY, 10021, USA. rrd4001@med.cornell.edu.ORCID http://orcid.org/0000-0002-7666-9005
Dennis C Copertino *Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, Cornell University, Belfer Research Building, 5th floor, 413 E. 69th St., New York, NY, 10021, USA.
Luis P IñiguezDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, Cornell University, Belfer Research Building, 5th floor, 413 E. 69th St., New York, NY, 10021, USA.
Jez L MarstonDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, Cornell University, Belfer Research Building, 5th floor, 413 E. 69th St., New York, NY, 10021, USA.
Yaron BramDivision of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA.
Yuling HanDepartment of Surgery, Weill Cornell Medicine, Cornell University, New York, NY, USA.
Robert E Schwartz *Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, USA.
Shuibing Chen *Department of Surgery, Weill Cornell Medicine, Cornell University, New York, NY, USA.
Douglas F Nixon *Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, Cornell University, Belfer Research Building, 5th floor, 413 E. 69th St., New York, NY, 10021, USA.
Timothy R Powell *Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, Cornell University, Belfer Research Building, 5th floor, 413 E. 69th St., New York, NY, 10021, USA.
Cornell University · USKing's College London · GB

Funding

Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior BEX1279/13-0Medical Scientist Training Program T32GM007739NIGMS NIH HHS T32 GM007739
6 · The paper itself

Abstract

backgroundVaccination programs have been launched worldwide to halt the spread of COVID-19. However, the identification of existing, safe compounds with combined treatment and prophylactic properties would be beneficial to individuals who are waiting to be vaccinated, particularly in less economically developed countries, where vaccine availability may be initially limited.

methodsWe used a data-driven approach, combining results from the screening of a large transcriptomic database (L1000) and molecular docking analyses, with in vitro tests using a lung organoid model of SARS-CoV-2 entry, to identify drugs with putative multimodal properties against COVID-19.

resultsOut of thousands of FDA-approved drugs considered, we observed that atorvastatin was the most promising candidate, as its effects negatively correlated with the transcriptional changes associated with infection. Atorvastatin was further predicted to bind to SARS-CoV-2's main protease and RNA-dependent RNA polymerase, and was shown to inhibit viral entry in our lung organoid model.

conclusionsSmall clinical studies reported that general statin use, and specifically, atorvastatin use, are associated with protective effects against COVID-19. Our study corroborrates these findings and supports the investigation of atorvastatin in larger clinical studies. Ultimately, our framework demonstrates one promising way to fast-track the identification of compounds for COVID-19, which could similarly be applied when tackling future pandemics.

Indexed as

COVID-19 Drug TreatmentAntiviral AgentsAtorvastatinCell LineCoronavirus 3C ProteasesCoronavirus RNA-Dependent RNA PolymeraseCOVID-19DoxycyclineDrug ApprovalDrug RepositioningGene Expression RegulationHumansLungModels, BiologicalMolecular Docking SimulationOrganoidsAntiviral AgentsAtorvastatinCoronavirus 3C ProteasesCoronavirus RNA-Dependent RNA PolymeraseDoxycyclineRaloxifene HydrochlorideSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2TrifluoperazineAtorvastatinChemoinformaticsConnectivity mappingCOVID-19Drug repositioningDrug screeningDrug testingLung organoidsMolecular dockingPandemic

Identifiers

PMID34503440
PMCPMC8426591
OpenAlexW3194700632

What OpenQuestion holds

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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.