Sharing large-scale patient data to understand COVID-19 severity

HCS and ASIP member Dr. Alejandro Adam recently co-authored two preprints with collaborators at Albany Medical College, the University of Wisconsin, Madison and the Morgridge Institute for Research. This research, led by Drs. Ariel Jaitovich (Albany Med) and Joshua Coon (UW-Madison), shows how multiplexed measurements, large-scale multi-omics analysis and artificial intelligence can shed light into why some patients quickly recover, while others have a much worse prognosis. The data shows high levels of CCL19, but low levels of PDGF-AA, dysregulation of platelet function, blood coagulation, acute phase response, and endotheliopathy in patients with worse prognosis, providing insight into novel potential therapeutic interventions. All cytokine profiling, metabolomics, lipidomics, proteomics, transcriptomics from a prospective cohort of 120 patients were made freely available to the whole scientific community.

More info:

https://www.medrxiv.org/content/10.1101/2020.05.21.20051300v2
https://www.medrxiv.org/content/10.1101/2020.07.17.20156513v1
https://covid-omics.app


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