Proteomics

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Targeted MS based multi-omic analysis of blood plasma from COVID-19 patients to predict survival

ABSTRACT: Molecular signatures to discriminate patients based on risk of severe disease and mortality from COVID-19 infection are urgently required by the global medical community. Although non-targeted methods are useful for comprehensive ‘omic coverage, targeted MS-based approaches generally provide higher precision, and improved inter-laboratory reproducibility, allowing for more realistic materialization of true biomarkers via validation studies in independent cohorts. We found a relatively small subset of molecular features that can be used to predict the chances of survival of hospitalized COVID-19 patients within the first day of admission, using a robust LC-MRM setup which is already available in many clinical laboratories.

ORGANISM(S): Homo Sapiens

SUBMITTER: Claudia Gaither  

PROVIDER: PXD027959 | panorama | Thu Aug 18 00:00:00 GMT+01:00 2022

REPOSITORIES: PanoramaPublic

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Publications

Early Prediction of COVID-19 Patient Survival by Targeted Plasma Multi-Omics and Machine Learning.

Richard Vincent R VR   Gaither Claudia C   Popp Robert R   Chaplygina Daria D   Brzhozovskiy Alexander A   Kononikhin Alexey A   Mohammed Yassene Y   Zahedi René P RP   Nikolaev Evgeny N EN   Borchers Christoph H CH  

Molecular & cellular proteomics : MCP 20220803 10

The recent surge of coronavirus disease 2019 (COVID-19) hospitalizations severely challenges healthcare systems around the globe and has increased the demand for reliable tests predictive of disease severity and mortality. Using multiplexed targeted mass spectrometry assays on a robust triple quadrupole MS setup which is available in many clinical laboratories, we determined the precise concentrations of hundreds of proteins and metabolites in plasma from hospitalized COVID-19 patients. We obser  ...[more]