Proteomics reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients

被引:8
|
作者
Bauer, Alina [1 ]
Pachl, Elisabeth [1 ,2 ]
Hellmuth, Johannes C. [3 ,4 ]
Kneidinger, Nikolaus [6 ,7 ,8 ]
Heydarian, Motaharehsadat [5 ]
Frankenberger, Marion [5 ]
Stubbe, Hans C. [5 ,9 ]
Ryffel, Bernhard [10 ]
Petrera, Agnese [11 ]
Hauck, Stefanie M. [11 ]
Behr, Juerge [6 ,7 ,8 ]
Kaiser, Rainer [5 ,12 ,13 ]
Scherer, Clemens [12 ,13 ]
Deng, Li [1 ,14 ]
Teupser, Daniel [15 ]
Ahmidi, Narges [2 ]
Muenchhoff, Maximilian [5 ,16 ,17 ,18 ]
Schubert, Benjamin [1 ,19 ]
Hilgendorff, Anne [6 ,7 ,20 ]
机构
[1] Helmholtz Zentrum Munchen, Computat Hlth Dept, German Ctr Lung Res DZL, D-85764 Munich, Germany
[2] Fraunhofer Inst Cognit Syst IKS, Fraunhofer IKS, D-80686 Munich, Germany
[3] Ludwig Maximilians Univ Munchen, Dept Med 3, Univ Hosp, Munich, Germany
[4] German Canc Consortium DKTK, Munich, Germany
[5] Ludwig Maximilians Univ Munchen, Univ Hosp, COVID 19 Registry LMU Munich CORKUM, Munich, Germany
[6] Helmholtz Zentrum Muenchen, Inst Lung Biol & Dis, German Ctr Lung Res DZL, Munich, Germany
[7] Helmholtz Zentrum Muenchen, Comprehens Pneumol Ctr CPC M BioArch, German Ctr Lung Res DZL, Munich, Germany
[8] Ludwig Maximilians Univ Munchen, Univ Hosp, Dept Med 5, German Ctr Lung Res DZL, Munich, Germany
[9] Ludwig Maximilians Univ Munchen, Univ Hosp, Dept Med 2, Munich, Germany
[10] Univ Orleans & Artimmune, Lab Expt & Mol Immunol & Neurogenet INEM, CNRS, UMR 7355, Orleans, France
[11] Helmholtz Zentrum Munchen, Metabol & Prote Core, Munich, Germany
[12] Ludwig Maximilians Univ Munchen, Univ Hosp, Med Klin & Poliklin 1, Munich, Germany
[13] DZHK German Ctr Cardiovasc Res, Partner Site Munich Heart Alliance, Munich, Germany
[14] Tech Univ Munich, Inst Virol, D-81675 Munich, Germany
[15] Ludwig Maximilians Univ Munchen, Univ Hosp, Inst Lab Med, Munich, Germany
[16] LMU Munchen, Max von Pettenkofer Inst, Munich, Germany
[17] LMU Munchen, Gene Ctr, Virol, Natl Reference Ctr Retroviruses, Munich, Germany
[18] German Ctr Infect Res DZIF, Partner Site Munich, Munich, Germany
[19] Tech Univ Munich, Dept Math, D-85748 Garching, Germany
[20] LMU Hosp, Interdisciplinary Social Pediat Ctr iSPZ, Ctr Comprehens Dev Care CDeCLMU, Munich, Germany
关键词
Biomarker; COVID-19; Immune response; NETosis; Proteomics; High-risk patients; THROMBOSIS; PACKAGE;
D O I
10.1016/j.bbadis.2022.166592
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
SARS-CoV-2 remains an acute threat to human health, endangering hospital capacities worldwide. Previous studies have aimed at informing pathophysiologic understanding and identification of disease indicators for risk assessment, monitoring, and therapeutic guidance. While findings start to emerge in the general population, observations in high-risk patients with complex pre-existing conditions are limited.We addressed the gap of existing knowledge with regard to a differentiated understanding of disease dynamics in SARS-CoV-2 infection while specifically considering disease stage and severity. We biomedically characterized quantitative proteomics in a hospitalized cohort of COVID-19 patients with mild to severe symptoms suffering from different (co)-morbidities in comparison to both healthy individuals and patients with non-COVID related inflammation. Deep clinical phenotyping enabled the identification of individual disease trajectories in COVID-19 patients.By the use of the individualized disease phase assignment, proteome analysis revealed a severity dependent general type-2-centered host response side-by-side with a disease specific antiviral immune reaction in early disease. The identification of phenomena such as neutrophil extracellular trap (NET) formation and a pro -coagulatory response characterizing severe disease was successfully validated in a second cohort. Together with the regulation of proteins related to SARS-CoV-2-specific symptoms identified by proteome screening, we not only confirmed results from previous studies but provide novel information for biomarker and therapy development.
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页数:17
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