SARS-CoV-2 RNAemia and proteomic trajectories inform prognostication in COVID-19 patients admitted to intensive careMore about Open Access at the Crick
Authors listClemens Gutmann Kaloyan Takov Sean A Burnap Bhawana Singh Hashim Ali Konstantinos Theofilatos Ella Reed Maria Hasman Adam Nabeebaccus Matthew Fish Mark Jw McPhail Kevin O'Gallagher Lukas E Schmidt Christian Cassel Marieke Rienks Xiaoke Yin Georg Auzinger Salvatore Napoli Salma F Mujib Francesca Trovato Barnaby Sanderson Blair Merrick Umar Niazi Mansoor Saqi Konstantina Dimitrakopoulou Rafael Fernández-Leiro Silke Braun Romy Kronstein-Wiedemann Katie J Doores Jonathan D Edgeworth Ajay M Shah Stefan R Bornstein Torsten Tonn Adrian Hayday Mauro Giacca Manu Shankar-Hari Manuel Mayr
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Prognostic characteristics inform risk stratification in intensive care unit (ICU) patients with coronavirus disease 2019 (COVID-19). We obtained blood samples (n = 474) from hospitalized COVID-19 patients (n = 123), non-COVID-19 ICU sepsis patients (n = 25) and healthy controls (n = 30). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was detected in plasma or serum (RNAemia) of COVID-19 ICU patients when neutralizing antibody response was low. RNAemia is associated with higher 28-day ICU mortality (hazard ratio [HR], 1.84 [95% CI, 1.22-2.77] adjusted for age and sex). RNAemia is comparable in performance to the best protein predictors. Mannose binding lectin 2 and pentraxin-3 (PTX3), two activators of the complement pathway of the innate immune system, are positively associated with mortality. Machine learning identified 'Age, RNAemia' and 'Age, PTX3' as the best binary signatures associated with 28-day ICU mortality. In longitudinal comparisons, COVID-19 ICU patients have a distinct proteomic trajectory associated with mortality, with recovery of many liver-derived proteins indicating survival. Finally, proteins of the complement system and galectin-3-binding protein (LGALS3BP) are identified as interaction partners of SARS-CoV-2 spike glycoprotein. LGALS3BP overexpression inhibits spike-pseudoparticle uptake and spike-induced cell-cell fusion in vitro.
Journal Nature Communications
Issue number 1