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SARS-CoV-2 proteins

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    SARS-CoV-2 RNAemia and proteomic biomarker trajectory inform prognostication in COVID-19 MESHD patients admitted to intensive care

    Authors: Manuel Mayr; Clemens Gutmann; Kaloyan Takov; Sean Burnap; Bhawana Singh; Konstantinos Theofilatos; Ella Reed; Maria Hasman; Adam Nabeebaccus; Matthew Fish; Mark McPhail; Kevin O'Gallagher; Lukas Schmidt; Christian Cassel; Marieke Rienks; Xiaoke Yin; Georg Auzinger; Salvatore Napoli; Salma Mujib; Francesca Trovato; Barnaby Sanderson; Blair Merrick; Umar Niazi; Mansoor Saqi; Konstantina Dimitrakopoulou; Silke Braun; Romy Kronstein-Wiedemann; Katie Doores; Jonathan Edgeworth; Ajay Shah; Stefan Bornstein; Torsten Tonn; Adrian Hayday; Manu Shankar-Hari

    doi:10.21203/rs.3.rs-101592/v1 Date: 2020-11-02 Source: ResearchSquare

    Prognostic characteristics inform risk stratification in intensive care unit (ICU) patients with coronavirus disease 2019 MESHD ( COVID-19 MESHD). We obtained blood samples (n = 474) from hospitalized COVID-19 MESHD patients (n = 123), non- COVID-19 MESHD ICU sepsis MESHD patients (n = 25) and healthy controls (n = 30). Severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2) RNA was detected in plasma or serum (RNAemia) of COVID-19 MESHD ICU patients when neutralizing antibody response was low. RNAemia was associated with higher 28-day ICU mortality (hazard ratio [HR], 1.84 [95% CI, 1.22–2.77] adjusted for age and sex). In longitudinal comparisons, COVID-19 MESHD ICU patients had a distinct proteomic trajectory associated with RNAemia and mortality. Among COVID-19 MESHD-enriched proteins, galectin-3 binding protein HGNC ( LGALS3BP HGNC) and proteins of the complement system were identified as interaction partners of SARS-CoV-2 spike PROTEIN glycoprotein. Finally, machine learning identified ‘Age, RNAemia’ and ‘Age, pentraxin-3 HGNC ( PTX3 HGNC)’ as the best binary signatures associated with 28-day ICU mortality.

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MeSH Disease
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SARS-CoV-2 Proteins


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