SARS-CoV-2 RNAemia and proteomic trajectories inform prognostication in COVID-19 patients admitted to intensive care.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
07 06 2021
Historique:
received: 05 11 2020
accepted: 28 04 2021
entrez: 8 6 2021
pubmed: 9 6 2021
medline: 22 6 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34099652
doi: 10.1038/s41467-021-23494-1
pii: 10.1038/s41467-021-23494-1
pmc: PMC8184784
doi:

Substances chimiques

Antibodies, Neutralizing 0
Antigens, Neoplasm 0
Biomarkers, Tumor 0
LGALS3BP protein, human 0
RNA, Viral 0
Serum Amyloid P-Component 0
Spike Glycoprotein, Coronavirus 0
spike protein, SARS-CoV-2 0
PTX3 protein 148591-49-5
C-Reactive Protein 9007-41-4

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3406

Subventions

Organisme : Department of Health
ID : CS-2016-16-011
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RM/17/3/33381
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/16/14/32397
Pays : United Kingdom
Organisme : British Heart Foundation
ID : CH/16/3/32406
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/18/60/34181
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RE/18/2/34213
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V040162/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC/PC/15068
Pays : United Kingdom
Organisme : Wellcome Trust
ID : FC001093
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R017751/1
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/19/58/34895
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/19/11/34633
Pays : United Kingdom
Organisme : British Heart Foundation
ID : PG/17/48/32956
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/17/65/33481
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 106292/Z/14/Z
Pays : United Kingdom
Organisme : British Heart Foundation
ID : SP/17/10/33219
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Arthritis Research UK
ID : FC001093
Pays : United Kingdom
Organisme : Medical Research Council
ID : FC001093
Pays : United Kingdom
Organisme : Cancer Research UK
Pays : United Kingdom
Organisme : Cancer Research UK
ID : FC001093
Pays : United Kingdom
Organisme : British Heart Foundation
ID : CH/1999001/11735
Pays : United Kingdom

Références

Knaus, W. A., Draper, E. A., Wagner, D. P. & Zimmerman, J. E. APACHE II: a severity of disease classification system. Crit. Care Med. 13, 818–829 (1985).
pubmed: 3928249 doi: 10.1097/00003246-198510000-00009
Vincent, J. L. et al. The S. O. F. A. (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 22, 707–710 (1996).
pubmed: 8844239 doi: 10.1007/BF01709751
Sinha, P. et al. Prevalence of phenotypes of acute respiratory distress syndrome in critically ill patients with COVID-19: a prospective observational study. Lancet Respir. Med. 8, 1209–1218 (2020).
Zou, X. et al. Acute physiology and chronic health evaluation II score as a predictor of hospital mortality in patients of coronavirus disease 2019. Crit. Care Med. 48, e657–e665 (2020).
pubmed: 32697506 pmcid: 7217128 doi: 10.1097/CCM.0000000000004411
Intensive Care National Audit And Research Centre. ICNARC Report on COVID-19 in Critical Care 31 July 2020. (2020).
Gupta, R. K. et al. Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study. Eur. Respir. J. https://doi.org/10.1183/13993003.03498-2020 (2020).
Andersson, M. I. et al. SARS-CoV-2 RNA detected in blood products from patients with COVID-19 is not associated with infectious virus. Wellcome Open Res 5, 181 (2020).
pubmed: 33283055 pmcid: 7689603 doi: 10.12688/wellcomeopenres.16002.2
Xu, D. et al. Relationship between serum SARS-CoV-2 nucleic acid(RNAemia) and organ damage in COVID-19 patients: a cohort study. Clin. Infect. Dis. https://doi.org/10.1093/cid/ciaa1085 (2020).
Fajnzylber, J. et al. SARS-CoV-2 viral load is associated with increased disease severity and mortality. Nat. Commun. 11, 5493 (2020).
pubmed: 33127906 pmcid: 7603483 doi: 10.1038/s41467-020-19057-5
Prebensen, C. et al. Severe acute respiratory syndrome coronavirus 2 RNA in plasma is associated with intensive care unit admission and mortality in patients hospitalized with coronavirus disease 2019. Clin. Infect. Dis. https://doi.org/10.1093/cid/ciaa1338 (2020).
Laing, A. G. et al. A dynamic COVID-19 immune signature includes associations with poor prognosis. Nat. Med. https://doi.org/10.1038/s41591-020-1038-6 (2020).
Carter, M. J. et al. Peripheral immunophenotypes in children with multisystem inflammatory syndrome associated with SARS-CoV-2 infection. Nat. Med. https://doi.org/10.1038/s41591-020-1054-6 (2020).
Seow, J. et al. Longitudinal observation and decline of neutralizing antibody responses in the three months following SARS-CoV-2 infection in humans. Nat. Microbiol. https://doi.org/10.1038/s41564-020-00813-8 (2020).
Chen, X. et al. Detectablevoronavirus 2 viral load (RNAemia) is closely correlated with drastically elevated interleukin 6 level in critically Ill patients with coronavirus disease 2019. Clin. Infect. Dis. https://doi.org/10.1093/cid/ciaa449 (2020).
Bermejo-Martin, J. F. et al. Viral RNA load in plasma is associated with critical illness and a dysregulated host response in COVID-19. Crit. Care 24, 691 (2020).
pubmed: 33317616 pmcid: 7734467 doi: 10.1186/s13054-020-03398-0
Veras, F. P. et al. SARS-CoV-2–triggered neutrophil extracellular traps mediate COVID-19 pathology. J. Exp. Med. 217, e20201129 (2020).
Zaid, Y. et al. Platelets can associate with SARS-Cov-2 RNA and are hyperactivated in COVID-19. Circ. Res. https://doi.org/10.1161/CIRCRESAHA.120.317703 (2020).
Zhang, S. et al. SARS-CoV-2 binds platelet ACE2 to enhance thrombosis in COVID-19. J. Hematol. Oncol. 13, 120 (2020).
pubmed: 32887634 pmcid: 7471641 doi: 10.1186/s13045-020-00954-7
Shen, B. et al. Proteomic and metabolomic characterization of COVID-19 patient sera. Cell 182, 59–72.e15 (2020).
pubmed: 32492406 pmcid: 7254001 doi: 10.1016/j.cell.2020.05.032
Messner, C. B. et al. Ultra-high-throughput clinical proteomics reveals classifiers of COVID-19 infection. Cell Syst. 11, 11–24.e4 (2020).
pubmed: 32619549 pmcid: 7264033 doi: 10.1016/j.cels.2020.05.012
Overmyer, K. A. et al. Large-scale multi-omic analysis of COVID-19 severity. Cell Syst. https://doi.org/10.1016/J.CELS.2020.10.003 (2020).
Di, B. et al. Identification and validation of predictive factors for progression to severe COVID-19 pneumonia by proteomics. Signal Transduct. Target. Ther. 5, 217 (2020).
pubmed: 33011738 pmcid: 7532335 doi: 10.1038/s41392-020-00333-1
Singer, M. et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). J. Am. Med. Assoc. 315, 801 (2016).
doi: 10.1001/jama.2016.0287
Shankar-Hari, M. et al. Developing a new definition and assessing new clinical criteria for septic shock: for the Third International Consensus definitions for sepsis and septic shock (Sepsis-3). J. Am. Med. Assoc. 315, 775–787 (2016).
doi: 10.1001/jama.2016.0289
Wilson, J. K. & Shankar-Hari, M. Immunological subpopulations within critically Ill COVID-19 patients. Chest https://doi.org/10.1016/j.chest.2021.01.023 (2021).
Gupta, A. et al. Extrapulmonary manifestations of COVID-19. Nat. Med. 26, 1017–1032 (2020).
doi: 10.1038/s41591-020-0968-3 pubmed: 32651579
Shankar-Hari, M. et al. Early PREdiction of sepsis using leukocyte surface biomarkers: the ExPRES-sepsis cohort study. Intensive Care Med. 44, 1836–1848 (2018).
pubmed: 30291379 doi: 10.1007/s00134-018-5389-0
Jones, T. K. et al. Plasma sRAGE acts as a genetically regulated causal intermediate in sepsis-associated acute respiratory distress syndrome. Am. J. Respir. Crit. Care Med. 201, 47–56 (2020).
pubmed: 31487195 pmcid: 6938154 doi: 10.1164/rccm.201810-2033OC
Jabaudon, M. et al. Plasma sRAGE is independently associated with increased mortality in ARDS: a meta-analysis of individual patient data. Intensive Care Med. 44, 1388–1399 (2018).
pubmed: 30051136 pmcid: 6132684 doi: 10.1007/s00134-018-5327-1
Jabaudon, M. et al. Soluble form of the receptor for advanced glycation end products is a marker of acute lung injury but not of severe sepsis in critically ill patients. Crit. Care Med. 39, 480–488 (2011).
pubmed: 21220996 doi: 10.1097/CCM.0b013e318206b3ca
Cuello, F. et al. Redox state of pentraxin 3 as a novel biomarker for resolution of inflammation and survival in sepsis. Mol. Cell. Proteom. 13, 2545–2557 (2014).
doi: 10.1074/mcp.M114.039446
Mauri, T. et al. Persisting high levels of plasma pentraxin 3 over the first days after severe sepsis and septic shock onset are associated with mortality. Intensive Care Med. 36, 621–629 (2010).
pubmed: 20119647 doi: 10.1007/s00134-010-1752-5
Muller, B. et al. Circulating levels of the long pentraxin PTX3 correlate with severity of infection in critically ill patients. Crit. Care Med. 29, 1404–1407 (2001).
pubmed: 11445697 doi: 10.1097/00003246-200107000-00017
Porte, R. et al. The long pentraxin PTX3 as a humoral innate immunity functional player and biomarker of infections and sepsis. Front. Immunol. 10, 794 (2019).
pubmed: 31031772 pmcid: 6473065 doi: 10.3389/fimmu.2019.00794
Williamson, E. J. et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature https://doi.org/10.1038/s41586-020-2521-4 (2020).
von Rhein, C. et al. Comparison of potency assays to assess SARS-CoV-2 neutralizing antibody capacity in COVID-19 convalescent plasma. J. Virol. Methods 114031 (2020). https://doi.org/10.1016/J.JVIROMET.2020.114031
Dupuis, N., Muller, S., Treiber, T. & Escher, C. Evaluation of PQ500, a 500-plasma protein blood panel in NSCLC subjects using high-throughput MRM mass spectrometry. J. Clin. Oncol. 37, 110–110 (2019).
doi: 10.1200/JCO.2019.37.8_suppl.110
Filbin, M. R. et al. Longitudinal proteomic analysis of plasma from patients with severe COVID-19 reveal patient survival-associated signatures, tissue-specific cell death, and cell-cell interactions. Cell Reports Med. 100287 (2021).
Ma, Y. J. et al. Heterocomplexes of mannose-binding lectin and the pentraxins PTX3 or serum amyloid P component trigger cross-activation of the complement system. J. Biol. Chem. 286, 3405–3417 (2011).
pubmed: 21106539 doi: 10.1074/jbc.M110.190637
Brunetta, E. et al. Macrophage expression and prognostic significance of the long pentraxin PTX3 in COVID-19. Nat. Immunol. 22, 19–24 (2021).
pubmed: 33208929 doi: 10.1038/s41590-020-00832-x
Ou, X. et al. Characterization of spike glycoprotein of SARS-CoV-2 on virus entry and its immune cross-reactivity with SARS-CoV. Nat. Commun. 11, 1620 (2020).
pubmed: 32221306 pmcid: 7100515 doi: 10.1038/s41467-020-15562-9
Xia, S. et al. Inhibition of SARS-CoV-2 (previously 2019-nCoV) infection by a highly potent pan-coronavirus fusion inhibitor targeting its spike protein that harbors a high capacity to mediate membrane fusion. Cell Res. 30, 343–355 (2020).
pubmed: 32231345 pmcid: 7104723 doi: 10.1038/s41422-020-0305-x
Buchrieser, J. et al. Syncytia formation by SARS‐CoV‐2‐infected cells. EMBO J. 39, e106267 (2020).
pubmed: 33051876 pmcid: 7646020 doi: 10.15252/embj.2020106267
Bussani, R. et al. Persistence of viral RNA, pneumocyte syncytia and thrombosis are hallmarks of advanced COVID-19 pathology. EBioMedicine 61, 103104 (2020).
pubmed: 33158808 pmcid: 7677597 doi: 10.1016/j.ebiom.2020.103104
Braga, L. et al. Drugs that inhibit TMEM16 proteins block SARS-CoV-2 spike-induced syncytia. Nature https://doi.org/10.1038/s41586-021-03491-6 (2021).
Lu, M. et al. Real-time conformational dynamics of SARS-CoV-2 spikes on virus particles. Cell Host Microbe 28, 880–891.e8 (2020).
pubmed: 33242391 pmcid: 7664471 doi: 10.1016/j.chom.2020.11.001
Vincent, J.-L. Endpoints in sepsis trials: More than just 28-day mortality? Crit. Care Med. 32, S209–S213 (2004).
pubmed: 15118519 doi: 10.1097/01.CCM.0000126124.41743.86
Pujadas, E. et al. SARS-CoV-2 viral load predicts COVID-19 mortality. Lancet Respir. Med. 8, e70 (2020).
Sánchez-Cerrillo, I. et al. COVID-19 severity associates with pulmonary redistribution of CD1c+ DC and inflammatory transitional and nonclassical monocytes. J. Clin. Investig. https://doi.org/10.1172/JCI140335 (2020).
Camporota, L. et al. Outcomes in mechanically ventilated patients with hypoxaemic respiratory failure caused by COVID-19. Br. J. Anaesth. 125, e480–e483 (2020).
pubmed: 32962855 doi: 10.1016/j.bja.2020.08.047
Fish, M. et al. Cellular and molecular mechanisms of IMMunE dysfunction and Recovery from SEpsis-related critical illness in adults: an observational cohort study (IMMERSE) protocol paper. J. Intensive Care Soc. https://doi.org/10.1177/1751143720966286 (2020).
ARDS Definition Task Force, R. et al. Acute respiratory distress syndrome: the Berlin Definition. J. Am. Med. Assoc. 307, 2526–2533 (2012).
Saha, R. et al. Impact of differences in acute respiratory distress syndrome randomised controlled trial inclusion and exclusion criteria: systematic review and meta-analysis. Br. J. Anaesth. https://doi.org/10.1016/J.BJA.2021.02.027 (2021).
Joshi, A., Rienks, M., Theofilatos, K. & Mayr, M. Systems biology in cardiovascular disease: a multiomics approach. Nat. Rev. Cardiol. https://doi.org/10.1038/s41569-020-00477-1 (2020).
Holter, J. C. et al. Systemic complement activation is associated with respiratory failure in COVID-19 hospitalized patients. Proc. Natl Acad. Sci. USA 117, 25018–25025 (2020).
pubmed: 32943538 doi: 10.1073/pnas.2010540117 pmcid: 7547220
Ramlall, V. et al. Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection. Nat. Med. https://doi.org/10.1038/s41591-020-1021-2 (2020).
Gralinski, L. E. et al. Complement activation contributes to severe acute respiratory syndrome coronavirus pathogenesis. MBio 9, e01753-18 (2018).
Galbraith, M. D. et al. Seroconversion stages COVID19 into distinct pathophysiological states. Elife 10, e65508 (2021).
Risitano, A. M. et al. Complement as a target in COVID-19? Nat. Rev. Immunol. 20, 343–344 (2020).
pubmed: 32327719 doi: 10.1038/s41577-020-0320-7
Song, W.-C. & FitzGerald, G. A. COVID-19, microangiopathy, hemostatic activation, and complement. J. Clin. Investig. 130, 3950–3953 (2020).
pubmed: 32459663 pmcid: 7410042
Yu, J. et al. Direct activation of the alternative complement pathway by SARS-CoV-2 spike proteins is blocked by factor D inhibition. Blood 136, 2080–2089 (2020).
pubmed: 32877502 doi: 10.1182/blood.2020008248
Zhou, Y. et al. A single asparagine-linked glycosylation site of the severe acute respiratory syndrome coronavirus spike glycoprotein facilitates inhibition by mannose-binding lectin through multiple mechanisms. J. Virol. 84, 8753–8764 (2010).
pubmed: 20573835 pmcid: 2919028 doi: 10.1128/JVI.00554-10
Ip, W. K. E. et al. Mannose-binding lectin in severe acute respiratory syndrome coronavirus infection. J. Infect. Dis. 191, 1697–1704 (2005).
pubmed: 15838797 doi: 10.1086/429631
Polycarpou, A. et al. Rationale for targeting complement in COVID‐19. EMBO Mol. Med. 12, e12642 (2020).
Jordan, J. E., Montalto, M. C. & Stahl, G. L. Inhibition of mannose-binding lectin reduces postischemic myocardial reperfusion injury. Circulation 104, 1413–1418 (2001).
pubmed: 11560858 doi: 10.1161/hc3601.095578
Schafranski, M. D., Stier, A., Nisihara, R. & Messias-Reason, I. J. T. Significantly increased levels of mannose-binding lectin (MBL) in rheumatic heart disease: a beneficial role for MBL deficiency. Clin. Exp. Immunol. 138, 521–525 (2004).
pubmed: 15544631 pmcid: 1809230 doi: 10.1111/j.1365-2249.2004.02645.x
Deban, L. et al. Binding of the long pentraxin PTX3 to factor H: interacting domains and function in the regulation of complement activation. J. Immunol. 181, 8433–8440 (2008).
pubmed: 19050261 doi: 10.4049/jimmunol.181.12.8433
Braunschweig, A. & Józsi, M. Human pentraxin 3 binds to the complement regulator C4b-binding protein. PLoS ONE 6, e23991 (2011).
pubmed: 21915248 pmcid: 3161823 doi: 10.1371/journal.pone.0023991
Ma, Y. J. & Garred, P. Pentraxins in complement activation and regulation. Front. Immunol. 9, 3046 (2018).
pubmed: 30619374 pmcid: 6305747 doi: 10.3389/fimmu.2018.03046
Burnap, S. A. et al. A proteomics-based assessment of inflammation signatures in endotoxemia. Mol. Cell. Proteomics https://doi.org/10.1074/mcp.RA120.002305 (2020).
Gisby, J. et al. Longitudinal proteomic profiling of dialysis patients with COVID-19 reveals markers of severity and predictors of death. Elife 10, e64827 (2021).
Jaillon, S. et al. The humoral pattern recognition receptor PTX3 is stored in neutrophil granules and localizes in extracellular traps. J. Exp. Med. 204, 793–804 (2007).
pubmed: 17389238 pmcid: 2118544 doi: 10.1084/jem.20061301
Caniglia, J. L., Asuthkar, S., Tsung, A. J., Guda, M. R. & Velpula, K. K. Immunopathology of galectin-3: an increasingly promising target in COVID-19. F1000Research 9, 1078 (2020).
pubmed: 33082935 pmcid: 7536583 doi: 10.12688/f1000research.25979.2
Peng, G. et al. Crystal structure of bovine coronavirus spike protein lectin domain. J. Biol. Chem. 287, 41931–41938 (2012).
pubmed: 23091051 pmcid: 3516740 doi: 10.1074/jbc.M112.418210
Li, F. Receptor recognition mechanisms of coronaviruses: a decade of structural studies. J. Virol. 89, 1954–1964 (2015).
pubmed: 25428871 doi: 10.1128/JVI.02615-14
Sethi, A., Sanam, S., Munagalasetty, S., Jayanthi, S. & Alvala, M. Understanding the role of galectin inhibitors as potential candidates for SARS-CoV-2 spike protein: in silico studies. RSC Adv. 10, 29873–29884 (2020).
doi: 10.1039/D0RA04795C pubmed: 35518264 pmcid: 9056307
Ullrich, A. et al. The secreted tumor-associated antigen 90K is a potent immune stimulator. J. Biol. Chem. 269, 18401–18407 (1994).
pubmed: 8034587 doi: 10.1016/S0021-9258(17)32322-0
Loimaranta, V., Hepojoki, J., Laaksoaho, O. & Pulliainen, A. T. Galectin‐3‐binding protein: a multitask glycoprotein with innate immunity functions in viral and bacterial infections. J. Leukoc. Biol. 104, 777–786 (2018).
pubmed: 29882603 doi: 10.1002/JLB.3VMR0118-036R
Denard, J. et al. Human galectin 3 binding protein interacts with recombinant adeno-associated virus type 6. J. Virol. 86, 6620–6631 (2012).
pubmed: 22496229 pmcid: 3393578 doi: 10.1128/JVI.00297-12
Wang, Q., Zhang, X., Han, Y., Wang, X. & Gao, G. M2BP inhibits HIV-1 virion production in a vimentin filaments-dependent manner. Sci. Rep. 6, 32736 (2016).
pubmed: 27604950 pmcid: 5015019 doi: 10.1038/srep32736
Chua, C. C., Rahimi, N., Forsten-Williams, K. & Nugent, M. A. Heparan sulfate proteoglycans function as receptors for fibroblast growth factor-2 activation of extracellular signal-regulated kinases 1 and 2. Circ. Res. 94, 316–323 (2004).
pubmed: 14684627 doi: 10.1161/01.RES.0000112965.70691.AC
Chang, H. C., Samaniego, F., Nair, B. C., Buonaguro, L. & Ensoli, B. HIV-1 Tat protein exits from cells via a leaderless secretory pathway and binds to extracellular matrix-associated heparan sulfate proteoglycans through its basic region. AIDS 11, 1421–1431 (1997).
pubmed: 9342064 doi: 10.1097/00002030-199712000-00006
Filbin, M. R. et al. Longitudinal proteomic analysis of plasma from patients with severe COVID-19 reveal patient survival-associated signatures, tissue-specific cell death, and cell-cell interactions. Cell Reports Med. 100287, https://doi.org/10.1016/j.xcrm.2021.100287 (2021).
Shankar-Hari, M. & Rubenfeld, G. D. Population enrichment for critical care trials: phenotypes and differential outcomes. Curr. Opin. Crit. Care 25, 489–497 (2019).
pubmed: 31335383 doi: 10.1097/MCC.0000000000000641
Rochwerg, B. et al. A living WHO guideline on drugs for covid-19. Br. Med. J. 370, m3379 (2020).
Liu, C. et al. Time-resolved systems immunology reveals a late juncture linked to fatal COVID-19. Cell 184, 1836–1857.e22 (2021).
pubmed: 33713619 pmcid: 7874909 doi: 10.1016/j.cell.2021.02.018
Ding, M. et al. An optimized sensitive method for quantitation of DNA/RNA viruses in heparinized and cyropreserved plasma. J. Virol. Methods 176, 1–8 (2011).
pubmed: 21645549 pmcid: 3143304 doi: 10.1016/j.jviromet.2011.05.012
Kaudewitz, D. et al. Impact of intravenous heparin on quantification of circulating microRNAs in patients with coronary artery disease. Thromb. Haemost. 110, 609–615 (2013).
pubmed: 23803974 doi: 10.1160/TH13-05-0368
Schulte, C. et al. Comparative analysis of circulating noncoding RNAs versus protein biomarkers in the detection of myocardial injury. Circ. Res. 125, 328–340 (2019).
pubmed: 31159652 pmcid: 6641471 doi: 10.1161/CIRCRESAHA.119.314937
Vogels, C. B. F. et al. Analytical sensitivity and efficiency comparisons of SARS-CoV-2 RT–qPCR primer–probe sets. Nat. Microbiol. https://doi.org/10.1038/s41564-020-0761-6 (2020).
Troyanskaya, O. et al. Missing value estimation methods for DNA microarrays. Bioinformatics 17, 520–525 (2001).
pubmed: 11395428 doi: 10.1093/bioinformatics/17.6.520
Ali, H. et al. Cellular TRIM33 restrains HIV-1 infection by targeting viral integrase for proteasomal degradation. Nat. Commun. 10, 926 (2019).
pubmed: 30804369 pmcid: 6389893 doi: 10.1038/s41467-019-08810-0
Saeys, Y., Inza, I. & Larranaga, P. A review of feature selection techniques in bioinformatics. Bioinformatics 23, 2507–2517 (2007).
doi: 10.1093/bioinformatics/btm344 pubmed: 17720704
Cortes, C. & Vapnik, V. Support-vector networks. Mach. Learn. 20, 273–297 (1995).
doi: 10.1007/BF00994018
Chawla, N. V., Bowyer, K. W., Hall, L. O. & Kegelmeyer, W. P. SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321–357 (2002).
doi: 10.1613/jair.953
Pedregosa, F. et al. Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825–2830 (2011).
Ojala, M. & Garrica, G. C. Permutation tests for studying classifier performance. J. Mach. Learn. Res. 11, 1833–1863 (2010).

Auteurs

Clemens Gutmann (C)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Kaloyan Takov (K)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Sean A Burnap (SA)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Bhawana Singh (B)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Hashim Ali (H)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Konstantinos Theofilatos (K)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Ella Reed (E)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Maria Hasman (M)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Adam Nabeebaccus (A)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.
King's College Hospital NHS Foundation Trust, London, UK.

Matthew Fish (M)

Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK.
Department of Intensive Care Medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Mark Jw McPhail (MJ)

King's College Hospital NHS Foundation Trust, London, UK.
Department of Inflammation Biology, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Institute of Liver Studies, King's College Hospital, London, UK.

Kevin O'Gallagher (K)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.
King's College Hospital NHS Foundation Trust, London, UK.

Lukas E Schmidt (LE)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Christian Cassel (C)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Marieke Rienks (M)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Xiaoke Yin (X)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Georg Auzinger (G)

King's College Hospital NHS Foundation Trust, London, UK.

Salvatore Napoli (S)

Department of Inflammation Biology, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

Salma F Mujib (SF)

Institute of Liver Studies, King's College Hospital, London, UK.

Francesca Trovato (F)

King's College Hospital NHS Foundation Trust, London, UK.
Department of Inflammation Biology, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Institute of Liver Studies, King's College Hospital, London, UK.

Barnaby Sanderson (B)

Department of Intensive Care Medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Blair Merrick (B)

Clinical Infection and Diagnostics Research group, Department of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Umar Niazi (U)

NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

Mansoor Saqi (M)

NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

Konstantina Dimitrakopoulou (K)

NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

Rafael Fernández-Leiro (R)

Structural Biology Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.

Silke Braun (S)

Medical Clinic I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany.

Romy Kronstein-Wiedemann (R)

Experimental Transfusion Medicine, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Dresden, Germany.

Katie J Doores (KJ)

Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK.

Jonathan D Edgeworth (JD)

Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK.
Clinical Infection and Diagnostics Research group, Department of Infection, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Ajay M Shah (AM)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.
King's College Hospital NHS Foundation Trust, London, UK.

Stefan R Bornstein (SR)

Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
Department of Diabetes, School of Life Course Science and Medicine, King's College London, London, UK.

Torsten Tonn (T)

Experimental Transfusion Medicine, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
Institute for Transfusion Medicine, German Red Cross Blood Donation Service North East, Dresden, Germany.

Adrian C Hayday (AC)

Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK.
The Francis Crick Institute, London, UK.

Mauro Giacca (M)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK.

Manu Shankar-Hari (M)

Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK. manu.shankar-hari@kcl.ac.uk.
Department of Intensive Care Medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK. manu.shankar-hari@kcl.ac.uk.

Manuel Mayr (M)

King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, London, UK. manuel.mayr@kcl.ac.uk.
Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany. manuel.mayr@kcl.ac.uk.

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