Evidence map›Paper›PMID 33637768›Full record

ArticleScientific data2021

A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection.

Bernhard Ellinger, Denisa Bojkova, Andrea Zaliani, Jindrich Cinatl, Carsten Claussen, Sandra Westhaus, Oliver Keminer, Jeanette Reinshagen, Maria Kuzikov, Markus Wolf and 3 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Discovery of PLACS omega · 2023
    Article
  8. Review
  9. Review
  10. Effect of farnesyltransferase inhibitors on SARS-CoV-2.Journal of global antimicrobial resistance · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

13 authors at 2 institutions in 1 country.

Bernhard Ellinger *Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Hamburg, 22525, Germany. corona.repurposing@ime.fraunhofer.de.
Denisa Bojkova *University Hospital Frankfurt, 60590, Frankfurt am Main, Germany.
Andrea ZalianiFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Hamburg, 22525, Germany.
Jindrich CinatlUniversity Hospital Frankfurt, 60590, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-6744-2087
Carsten ClaussenFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Hamburg, 22525, Germany.
Sandra WesthausUniversity Hospital Frankfurt, 60590, Frankfurt am Main, Germany.
Oliver KeminerFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Hamburg, 22525, Germany.ORCID http://orcid.org/0000-0003-1473-469X
Jeanette ReinshagenFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Hamburg, 22525, Germany.ORCID http://orcid.org/0000-0002-8080-9170
Maria KuzikovFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Hamburg, 22525, Germany.
Markus WolfFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Hamburg, 22525, Germany.
Gerd GeisslingerPharmazentrum Frankfurt/ZAFES, Institut für Klinische Pharmakologie, Klinikum der Goethe-Universität Frankfurt, 60590, Frankfurt am Main, Germany.
Philip GribbonFraunhofer Institute for Translational Medicine and Pharmacology ITMP, Hamburg, 22525, Germany.ORCID http://orcid.org/0000-0001-7655-2459
Sandra CiesekUniversity Hospital Frankfurt, 60590, Frankfurt am Main, Germany.ORCID http://orcid.org/0000-0002-1802-7565
Fraunhofer Institute for Translational Medicine and Pharmacology · DEGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 is a novel coronavirus responsible for the COVID-19 pandemic, in which acute respiratory infections are associated with high socio-economic burden. We applied high-content screening to a well-defined collection of 5632 compounds including 3488 that have undergone previous clinical investigations across 600 indications. The compounds were screened by microscopy for their ability to inhibit SARS-CoV-2 cytopathicity in the human epithelial colorectal adenocarcinoma cell line, Caco-2. The primary screen identified 258 hits that inhibited cytopathicity by more than 75%, most of which were not previously known to be active against SARS-CoV-2 in vitro. These compounds were tested in an eight-point dose response screen using the same image-based cytopathicity readout. For the 67 most active molecules, cytotoxicity data were generated to confirm activity against SARS-CoV-2. We verified the ability of known inhibitors camostat, nafamostat, lopinavir, mefloquine, papaverine and cetylpyridinium to reduce the cytopathic effects of SARS-CoV-2, providing confidence in the validity of the assay. The high-content screening data are suitable for reanalysis across numerous drug classes and indications and may yield additional insights into SARS-CoV-2 mechanisms and potential therapeutic strategies.

Indexed as

Drug RepositioningAntiviral AgentsBenzamidinesCaco-2 CellsCetylpyridiniumCOVID-19Drug Evaluation, PreclinicalEstersGuanidinesHumansLopinavirMefloquinePapaverineSARS-CoV-2Antiviral AgentsBenzamidinescamostatCetylpyridiniumEstersGuanidinesLopinavirMefloquinenafamostatPapaverine

Identifiers

PMID33637768
PMCPMC7910569
OpenAlexW3130872060

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.