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Heterogeneous immunological recovery trajectories revealed in post-acute COVID-19
Yapeng Su; Dan Yuan; Daniel G Chen; Kai Wang; Jongchan Choi; Chengzhen L Dai; Sunga Hong; Rongyu Zhang; Jingyi Xie; Sarah Li; Kelsey Scherler; Ana-Jimena Pavlovitch-Bedzyk; Shen Dong; Christopher Lausted; Rachel H Ng; Inyoul Lee; Shannon Fallen; Sergey A Kornilov; Priyanka Baloni; Venkata R Duvvuri; Kristin G Anderson; Jing Li; Fan Yang; Clifford Rostomily; Pamela Troisch; Brett Smith; Jing Zhou; Sean Mackay; Kim Murry; Rick Edmark; Lesley Jones; Yong Zhou; Lee Rowen; Rachel Liu; William Chour; William R Berrington; Julie A Wallick; Heather A Algren; Terri Wrin; Christos Petropoulos; Wei Wei; Nathan D Price; Naeha Subramanian; Jennifer Hadlock; Andrew T Magis; Antoni Ribas; Lewis L Lanier; Scott D Boyd; Jeffery A Bluestone; Leroy Hood; Raphael Gottardo; Philip D Greenberg; Mark M Davis; Jason D Goldman; James R Heath.
Afiliación
  • Yapeng Su; Institute for Systems Biology
  • Dan Yuan; Institute for Systems Biology
  • Daniel G Chen; Institute for Systems Biology
  • Kai Wang; Institute for Systems Biology
  • Jongchan Choi; Institute for Systems Biology
  • Chengzhen L Dai; Institute for Systems Biology
  • Sunga Hong; Institute for Systems Biology
  • Rongyu Zhang; Institute for Systems Biology
  • Jingyi Xie; Institute for Systems Biology
  • Sarah Li; Institute for Systems Biology
  • Kelsey Scherler; Institute for Systems Biology
  • Ana-Jimena Pavlovitch-Bedzyk; Stanford University
  • Shen Dong; Institute for Systems Biology
  • Christopher Lausted; Institute for Systems Biology
  • Rachel H Ng; Institute for Systems Biology
  • Inyoul Lee; Institute for Systems Biology
  • Shannon Fallen; Institute for Systems Biology
  • Sergey A Kornilov; Institute for Systems Biology
  • Priyanka Baloni; Institute for Systems Biology
  • Venkata R Duvvuri; Institute for Systems Biology
  • Kristin G Anderson; Fred Hutch Cancer Research Center
  • Jing Li; Stanford University
  • Fan Yang; Stanford University
  • Clifford Rostomily; Institute for Systems Biology
  • Pamela Troisch; Institute for Systems Biology
  • Brett Smith; Institute for Systems Biology
  • Jing Zhou; Isoplexis Corporation
  • Sean Mackay; Isoplexis Corporation
  • Kim Murry; Institute for Systems Biology
  • Rick Edmark; Institute for Systems Biology
  • Lesley Jones; Institute for Systems Biology
  • Yong Zhou; Institute for Systems Biology
  • Lee Rowen; Institute for Systems Biology
  • Rachel Liu; Institute for Systems Biology
  • William Chour; Institute for Systems Biology
  • William R Berrington; Swedish Medical Center
  • Julie A Wallick; Swedish Medical Center
  • Heather A Algren; Swedish Medical Center
  • Terri Wrin; Monogram Biosciences
  • Christos Petropoulos; Monogram Biosciences
  • Wei Wei; Institute for Systems Biology
  • Nathan D Price; Institute for Systems Biology
  • Naeha Subramanian; Institute for Systems Biology
  • Jennifer Hadlock; Institute for Systems Biology
  • Andrew T Magis; Institute for Systems Biology
  • Antoni Ribas; UCLA
  • Lewis L Lanier; UCSF
  • Scott D Boyd; Stanford University
  • Jeffery A Bluestone; UCSF
  • Leroy Hood; Institute for Systems Biology
  • Raphael Gottardo; Fred Hutch Cancer Research Center
  • Philip D Greenberg; Fred Hutch Cancer Research Center
  • Mark M Davis; Stanford University
  • Jason D Goldman; Swedish Medical Center
  • James R Heath; Institute for Systems Biology
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21254004
ABSTRACT
The immunological picture of how different patients recover from COVID-19, and how those recovery trajectories are influenced by infection severity, remain unclear. We investigated 140 COVID-19 patients from diagnosis to convalescence using clinical data, viral load assessments, and multi-omic analyses of blood plasma and circulating immune cells. Immune-phenotype dynamics resolved four recovery trajectories. One trajectory signals a return to pre-infection healthy baseline, while the other three are characterized by differing fractions of persistent cytotoxic and proliferative T cells, distinct B cell maturation processes, and memory-like innate immunity. We resolve a small panel of plasma proteins that, when measured at diagnosis, can predict patient survival and recovery-trajectory commitment. Our study offers novel insights into post-acute immunological outcomes of COVID-19 that likely influence long-term adverse sequelae.
Licencia
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Prognostic_studies Idioma: En Año: 2021 Tipo del documento: Preprint