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

Exploring disease-causing traits for drug repurposing in critically ill COVID-19 patients: A causal inference approach.
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DOI:
10.1016/j.isci.2023.108185
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发表时间:
2023-11-17
期刊:
影响因子:
5.8
通讯作者:
Schmidt, Marco F.
Schmidt, Marco F.
中科院分区:
综合性期刊2区
文献类型:
--
作者:
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.

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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. Neutrophil cell count plays a causal role for severe COVID-19 disease progression Validated CDK6 and JAK inhibitors as treatment targets for severe COVID-19 Large disease-causing trait datasets increase the power of drug target identification Genetics; Immunology; Microbiology; Association analysis
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