Your browser doesn't support javascript.
loading
High dimensional profiling identifies specific immune types along the recovery trajectories of critically ill COVID19 patients.
Penttilä, P A; Van Gassen, S; Panovska, D; Vanderbeke, L; Van Herck, Y; Quintelier, K; Emmaneel, A; Filtjens, J; Malengier-Devlies, B; Ahmadzadeh, K; Van Mol, P; Borràs, D M; Antoranz, A; Bosisio, F M; Wauters, E; Martinod, K; Matthys, P; Saeys, Y; Garg, A D; Wauters, J; De Smet, F.
Afiliación
  • Penttilä PA; KU Leuven Flow and Mass Cytometry Facility, KU Leuven, Leuven, Belgium.
  • Van Gassen S; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
  • Panovska D; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
  • Vanderbeke L; Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Van Herck Y; Laboratory of Clinical Bacteriology and Mycology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
  • Quintelier K; Laboratory of Experimental Oncology, Department of Oncology,, KU Leuven, Leuven, Belgium.
  • Emmaneel A; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
  • Filtjens J; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
  • Malengier-Devlies B; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
  • Ahmadzadeh K; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
  • Van Mol P; Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
  • Borràs DM; Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
  • Antoranz A; Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
  • Bosisio FM; Laboratory of Translational Genetics, Department of Human Genetics, VIB-KU Leuven, Leuven, Belgium.
  • Wauters E; Laboratory for Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine (CMM), KU Leuven, Leuven, Belgium.
  • Martinod K; Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Matthys P; Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Saeys Y; Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
  • Garg AD; Center for Molecular and Vascular Biology, Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
  • Wauters J; Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.
  • De Smet F; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
Cell Mol Life Sci ; 78(8): 3987-4002, 2021 Apr.
Article en En | MEDLINE | ID: mdl-33715015
The COVID-19 pandemic poses a major burden on healthcare and economic systems across the globe. Even though a majority of the population develops only minor symptoms upon SARS-CoV-2 infection, a significant number are hospitalized at intensive care units (ICU) requiring critical care. While insights into the early stages of the disease are rapidly expanding, the dynamic immunological processes occurring in critically ill patients throughout their recovery at ICU are far less understood. Here, we have analysed whole blood samples serially collected from 40 surviving COVID-19 patients throughout their recovery in ICU using high-dimensional cytometry by time-of-flight (CyTOF) and cytokine multiplexing. Based on the neutrophil-to-lymphocyte ratio (NLR), we defined four sequential immunotypes during recovery that correlated to various clinical parameters, including the level of respiratory support at concomitant sampling times. We identified classical monocytes as the first immune cell type to recover by restoration of HLA-DR-positivity and the reduction of immunosuppressive CD163 + monocytes, followed by the recovery of CD8 + and CD4 + T cell and non-classical monocyte populations. The identified immunotypes also correlated to aberrant cytokine and acute-phase reactant levels. Finally, integrative analysis of cytokines and immune cell profiles showed a shift from an initially dysregulated immune response to a more coordinated immunogenic interplay, highlighting the importance of longitudinal sampling to understand the pathophysiology underlying recovery from severe COVID-19.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Crítica / SARS-CoV-2 / COVID-19 / Recuento de Leucocitos Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Cell Mol Life Sci Asunto de la revista: BIOLOGIA MOLECULAR Año: 2021 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Crítica / SARS-CoV-2 / COVID-19 / Recuento de Leucocitos Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Cell Mol Life Sci Asunto de la revista: BIOLOGIA MOLECULAR Año: 2021 Tipo del documento: Article País de afiliación: Bélgica Pais de publicación: Suiza