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Proteomics reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients.
Bauer, Alina; Pachl, Elisabeth; Hellmuth, Johannes C; Kneidinger, Nikolaus; Heydarian, Motaharehsadat; Frankenberger, Marion; Stubbe, Hans C; Ryffel, Bernhard; Petrera, Agnese; Hauck, Stefanie M; Behr, Jürgen; Kaiser, Rainer; Scherer, Clemens; Deng, Li; Teupser, Daniel; Ahmidi, Narges; Muenchhoff, Maximilian; Schubert, Benjamin; Hilgendorff, Anne.
Afiliação
  • Bauer A; Helmholtz Zentrum München, Computational Health Department, Member of the German Center for Lung Research (DZL), 85764 Munich, Germany.
  • Pachl E; Helmholtz Zentrum München, Computational Health Department, Member of the German Center for Lung Research (DZL), 85764 Munich, Germany; Fraunhofer IKS, Fraunhofer Institute for Cognitive Systems IKS, 80686 Munich, Germany.
  • Hellmuth JC; Department of Medicine III, University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), Munich, Germany; COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.
  • Kneidinger N; Institute of Lung Biology and Disease and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Zentrum Muenchen, Member of the German Center for Lung Research (DZL), Munich, Germany; Department of Medicine V, University Hospital, LMU Munich, Member of the German Center for Lung Resea
  • Heydarian M; COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.
  • Frankenberger M; COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.
  • Stubbe HC; COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany; Department of Medicine II, University Hospital, LMU Munich, Munich, Germany.
  • Ryffel B; Laboratory of Experimental and Molecular Immunology and Neurogenetics (INEM), UMR 7355 CNRS-University of Orleans and Artimmune, Orléans, France.
  • Petrera A; Metabolomics and Proteomics Core, Helmholtz Zentrum München, Munich, Germany.
  • Hauck SM; Metabolomics and Proteomics Core, Helmholtz Zentrum München, Munich, Germany.
  • Behr J; Institute of Lung Biology and Disease and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Zentrum Muenchen, Member of the German Center for Lung Research (DZL), Munich, Germany; Department of Medicine V, University Hospital, LMU Munich, Member of the German Center for Lung Resea
  • Kaiser R; COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany; Medizinische Klinik und Poliklinik I, University Hospital, LMU Munich, Munich, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.
  • Scherer C; COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany; Medizinische Klinik und Poliklinik I, University Hospital, LMU Munich, Munich, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.
  • Deng L; Helmholtz Zentrum München, Computational Health Department, Member of the German Center for Lung Research (DZL), 85764 Munich, Germany; Institute of Virology, Technical University of Munich, 81675 Munich, Germany.
  • Teupser D; Institute of Laboratory Medicine, University Hospital, LMU Munich, Munich, Germany.
  • Ahmidi N; Fraunhofer IKS, Fraunhofer Institute for Cognitive Systems IKS, 80686 Munich, Germany.
  • Muenchhoff M; COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany; Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich,
  • Schubert B; Helmholtz Zentrum München, Computational Health Department, Member of the German Center for Lung Research (DZL), 85764 Munich, Germany; Department of Mathematics, Technical University of Munich, 85748 Garching bei München, Germany.
  • Hilgendorff A; Institute of Lung Biology and Disease and Comprehensive Pneumology Center with the CPC-M bioArchive, Helmholtz Zentrum Muenchen, Member of the German Center for Lung Research (DZL), Munich, Germany; Center for Comprehensive Developmental Care (CDeC(LMU)) at the Interdisciplinary Social Pediatric Cen
Biochim Biophys Acta Mol Basis Dis ; 1869(2): 166592, 2023 02.
Article em En | MEDLINE | ID: mdl-36328146
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article