Proteomic and Metabolomic Characterization of COVID-19 Patient Sera B Shen et al, Cell, May 27, 2020

Hot Topics of the Day|PHGKB

 Coronavirus

Proteomic and Metabolomic Characterization of COVID-19 Patient Sera
B Shen et al, Cell, May 27, 2020

93 proteins show differential expression in severe COVID-19 patient sera. 204 metabolites in COVID-19 patient sera correlate with disease severity. A model composed of 29 serum factors shows patient stratification potential. Pathway analysis highlights metabolic and immune dysregulation in COVID-19 patients.

Remdesivir — An Important First Step
R Dolin et al, NEJM, May 27, 2020

Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach
J Xue et al, ARXIV, May 26, 2020

CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort
D Culler et al, ARXIV, May 27, 2020

Asymptomatic Transmission, the Achilles’ Heel of Current Strategies to Control Covid-19
M Ghandi et al NEJM, May 27,2020

The rapid spread of Covid-19 across the United States and the globe, the clear evidence of SARS-CoV-2 transmission from asymptomatic persons,5 and the eventual need to relax current social distancing practices argue for broadened SARS-CoV-2 testing to include asymptomatic persons in prioritized settings.

Impact of Comorbidities on the Expression of SARS-CoV-2 Viral Entry-Related Genes
JD Breidenbach et al, BIORXIV, May 27, 2020

Geospatial precision simulations of community confined human interactions during SARS-CoV-2 transmission reveals bimodal intervention outcomes
B Goldenbogen et al, MEDRXIV, May 27, 2020

Multivariate Prediction Network Model for epidemic progression to study the effects of lockdown time and coverage on a closed community on theoretical and real scenarios of COVID-19.
DM Abramov et al, MEDRXIV, May 27, 2020

Automated and partially-automated contact tracing: a rapid systematic review to inform the control of COVID-19
I Braithwaite et al, MEDRXIV, May 28, 2020