Evidence map›Paper›PMID 37965141›Full record

ArticleiScience2023

Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach.

Hannes A Baukmann, Justin L Cope, Colin Bannard, Alexander R E C Schwinges, Margaretha R J Lamparter, Sarah Groves, Charles N J Ravarani, Borko Amulic, Joern E Klinger, Marco F Schmidt

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Hannes A Baukmannbiotx.ai GmbH, Am Mühlenberg 11, 14476 Potsdam, Germany.
Justin L Copebiotx.ai GmbH, Am Mühlenberg 11, 14476 Potsdam, Germany.
Colin BannardUniversity of Manchester, Oxford Road, Manchester M13 9PL, UK.
Alexander R E C Schwingesbiotx.ai GmbH, Am Mühlenberg 11, 14476 Potsdam, Germany.
Margaretha R J Lamparterbiotx.ai GmbH, Am Mühlenberg 11, 14476 Potsdam, Germany.
Sarah GrovesSchool of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol BS8 1DT, UK.
Charles N J Ravaranibiotx.ai GmbH, Am Mühlenberg 11, 14476 Potsdam, Germany.
Borko AmulicSchool of Cellular and Molecular Medicine, Faculty of Life Sciences, University of Bristol, Bristol BS8 1DT, UK.
Joern E Klingerbiotx.ai GmbH, Am Mühlenberg 11, 14476 Potsdam, Germany.
Marco F Schmidtbiotx.ai GmbH, Am Mühlenberg 11, 14476 Potsdam, Germany.
University of Manchester · GB

Funding

Medical Research Council MR/R02149X/1
6 · The paper itself

Abstract

Despite recent development of vaccines to prevent SARS-CoV-2 infection, treatment of critically ill COVID-19 patients remains an important goal. In principle, genome-wide association studies (GWASs) provide a shortcut to the clinical evidence needed to repurpose existing drugs; however, genes identified frequently lack a causal disease link. We report an alternative method for finding drug repurposing targets, focusing on disease-causing traits beyond immediate disease genetics. Sixty blood cell types and biochemistries, and body mass index, were screened on a cohort of critically ill COVID-19 cases and controls that exhibited mild symptoms after infection, yielding high neutrophil cell count as a possible causal trait for critical illness. Our methodology identified CDK6 and janus kinase (JAK) inhibitors as treatment targets that were validated in an

Indexed as

Association analysisGeneticsImmunologyMicrobiology

Identifiers

PMID37965141
PMCPMC10641251
OpenAlexW4387574122

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.