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Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach
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 identi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641251/ https://www.ncbi.nlm.nih.gov/pubmed/37965141 http://dx.doi.org/10.1016/j.isci.2023.108185 |
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author | Baukmann, Hannes A. Cope, Justin L. Bannard, Colin Schwinges, Alexander R.E.C. Lamparter, Margaretha R.J. Groves, Sarah Ravarani, Charles N.J. Amulic, Borko Klinger, Joern E. Schmidt, Marco F. |
author_facet | Baukmann, Hannes A. Cope, Justin L. Bannard, Colin Schwinges, Alexander R.E.C. Lamparter, Margaretha R.J. Groves, Sarah Ravarani, Charles N.J. Amulic, Borko Klinger, Joern E. Schmidt, Marco F. |
author_sort | Baukmann, Hannes A. |
collection | PubMed |
description | 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 ex vivo neutrophil extracellular trap (NET) formation assay. Our methodology demonstrates the increased power for drug target identification by leveraging large disease-causing trait datasets. |
format | Online Article Text |
id | pubmed-10641251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106412512023-11-14 Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach Baukmann, Hannes A. Cope, Justin L. Bannard, Colin Schwinges, Alexander R.E.C. Lamparter, Margaretha R.J. Groves, Sarah Ravarani, Charles N.J. Amulic, Borko Klinger, Joern E. Schmidt, Marco F. iScience Article 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 ex vivo neutrophil extracellular trap (NET) formation assay. Our methodology demonstrates the increased power for drug target identification by leveraging large disease-causing trait datasets. Elsevier 2023-10-12 /pmc/articles/PMC10641251/ /pubmed/37965141 http://dx.doi.org/10.1016/j.isci.2023.108185 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Baukmann, Hannes A. Cope, Justin L. Bannard, Colin Schwinges, Alexander R.E.C. Lamparter, Margaretha R.J. Groves, Sarah Ravarani, Charles N.J. Amulic, Borko Klinger, Joern E. Schmidt, Marco F. Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach |
title | Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach |
title_full | Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach |
title_fullStr | Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach |
title_full_unstemmed | Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach |
title_short | Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach |
title_sort | exploring disease-causing traits for drug repurposing in critically ill covid-19 patients: a causal inference approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641251/ https://www.ncbi.nlm.nih.gov/pubmed/37965141 http://dx.doi.org/10.1016/j.isci.2023.108185 |
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