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  1. TI=Distinctive features of SARS CoV 2 specific T cells predict recovery from severe COVID 19
  2. AU=Anand Praveen

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  1. Artikel ; Online: Distinctive features of SARS-CoV-2-specific T cells predict recovery from severe COVID-19.

    Neidleman, Jason / Luo, Xiaoyu / George, Ashley F / McGregor, Matthew / Yang, Junkai / Yun, Cassandra / Murray, Victoria / Gill, Gurjot / Greene, Warner C / Vasquez, Joshua / Lee, Sulggi A / Ghosn, Eliver / Lynch, Kara L / Roan, Nadia R

    Cell reports

    2021  Band 36, Heft 3, Seite(n) 109414

    Abstract: ... numbers of SARS-CoV-2-specific T cells capable of homeostatic proliferation. In contrast, fatal COVID-19 ... immunity, little is known about the phenotypic features of SARS-CoV-2-specific T cells associated ... with recovery from severe coronavirus disease 2019 (COVID-19). We analyze T cells from 34 individuals with COVID ...

    Abstract Although T cells are likely players in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunity, little is known about the phenotypic features of SARS-CoV-2-specific T cells associated with recovery from severe coronavirus disease 2019 (COVID-19). We analyze T cells from 34 individuals with COVID-19 with severity ranging from mild (outpatient) to critical, culminating in death. Relative to individuals who succumbed, individuals who recovered from severe COVID-19 harbor elevated and increasing numbers of SARS-CoV-2-specific T cells capable of homeostatic proliferation. In contrast, fatal COVID-19 cases display elevated numbers of SARS-CoV-2-specific regulatory T cells and a time-dependent escalation in activated bystander CXCR4
    Sprache Englisch
    Erscheinungsdatum 2021-06-29
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2649101-1
    ISSN 2211-1247 ; 2211-1247
    ISSN (online) 2211-1247
    ISSN 2211-1247
    DOI 10.1016/j.celrep.2021.109414
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

  2. Artikel: Distinctive features of SARS-CoV-2-specific T cells predict recovery from severe COVID-19.

    Neidleman, Jason / Luo, Xiaoyu / George, Ashley F / McGregor, Matthew / Yang, Junkai / Yun, Cassandra / Murray, Victoria / Gill, Gurjot / Greene, Warner C / Vasquez, Joshua / Lee, Sulggi / Ghosn, Eliver / Lynch, Kara / Roan, Nadia R

    medRxiv : the preprint server for health sciences

    2021  

    Abstract: ... features of SARS-CoV-2-specific T cells associated with recovery from severe COVID-19. We analyzed T cells ... proliferation. In contrast, fatal COVID-19 displayed elevated numbers of SARS-CoV-2-specific regulatory T cells ... harbored elevated and increasing numbers of SARS-CoV-2-specific T cells capable of homeostatic ...

    Abstract Although T cells are likely players in SARS-CoV-2 immunity, little is known about the phenotypic features of SARS-CoV-2-specific T cells associated with recovery from severe COVID-19. We analyzed T cells from longitudinal specimens of 34 COVID-19 patients with severities ranging from mild (outpatient) to critical culminating in death. Relative to patients that succumbed, individuals that recovered from severe COVID-19 harbored elevated and increasing numbers of SARS-CoV-2-specific T cells capable of homeostatic proliferation. In contrast, fatal COVID-19 displayed elevated numbers of SARS-CoV-2-specific regulatory T cells and a time-dependent escalation in activated bystander CXCR4+ T cells. Together with the demonstration of increased proportions of inflammatory CXCR4+ T cells in the lungs of severe COVID-19 patients, these results support a model whereby lung-homing T cells activated through bystander effects contribute to immunopathology, while a robust, non-suppressive SARS-CoV-2-specific T cell response limits pathogenesis and promotes recovery from severe COVID-19.
    Sprache Englisch
    Erscheinungsdatum 2021-02-05
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2021.01.22.21250054
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

  3. Artikel ; Online: Distinctive features of SARS-CoV-2-specific T cells predict recovery from severe COVID-19

    Neidleman, Jason / Luo, Xiaoyu / George, Ashley F. / McGregor, Matthew / Yang, Junkai / Yun, Cassandra / Murray, Victoria / Gill, Gurjot / Greene, Warner C. / Vasquez, Joshua / Lee, Sulggi / Ghosn, Eliver / Lynch, Kara / Roan, Nadia R.

    medRxiv

    Abstract: ... features of SARS-CoV-2-specific T cells associated with recovery from severe COVID-19. We analyzed T cells ... proliferation. In contrast, fatal COVID-19 displayed elevated numbers of SARS-CoV-2-specific regulatory T cells ... harbored elevated and increasing numbers of SARS-CoV-2-specific T cells capable of homeostatic ...

    Abstract Although T cells are likely players in SARS-CoV-2 immunity, little is known about the phenotypic features of SARS-CoV-2-specific T cells associated with recovery from severe COVID-19. We analyzed T cells from longitudinal specimens of 34 COVID-19 patients with severities ranging from mild (outpatient) to critical culminating in death. Relative to patients that succumbed, individuals that recovered from severe COVID-19 harbored elevated and increasing numbers of SARS-CoV-2-specific T cells capable of homeostatic proliferation. In contrast, fatal COVID-19 displayed elevated numbers of SARS-CoV-2-specific regulatory T cells and a time-dependent escalation in activated bystander CXCR4+ T cells. Together with the demonstration of increased proportions of inflammatory CXCR4+ T cells in the lungs of severe COVID-19 patients, these results support a model whereby lung-homing T cells activated through bystander effects contribute to immunopathology, while a robust, non-suppressive SARS-CoV-2-specific T cell response limits pathogenesis and promotes recovery from severe COVID-19.
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2021-01-28
    Verlag Cold Spring Harbor Laboratory Press
    Dokumenttyp Artikel ; Online
    DOI 10.1101/2021.01.22.21250054
    Datenquelle COVID19

    Kategorien

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