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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...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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
Descripción
Sumario: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.