Chrome Extension
WeChat Mini Program
Use on ChatGLM

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

iScience(2023)

Cited 0|Views6
No score
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 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.
More
Translated text
Key words
drug,patients,traits,disease-causing
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined