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Multi-cohort analysis of host immune response identifies conserved protective and detrimental modules associated with severity irrespective of virus
Hong Zheng; Aditya M Rao; Denis Dermadi; Jiaying Toh; Lara Murphy Jones; Michele Donato; Yiran Liu; Yapeng Su; Minas Karagiannis; Theodoros Marantos; Yehudit Hasin-Brumshtein; Yudong D He; Evangelos J Giamarellos-Bourboulis; Jim Heath; Purvesh Khatri.
Afiliação
  • Hong Zheng; Stanford University
  • Aditya M Rao; Stanford University
  • Denis Dermadi; Stanford University
  • Jiaying Toh; Stanford University
  • Lara Murphy Jones; Stanford University
  • Michele Donato; Stanford University
  • Yiran Liu; Stanford University
  • Yapeng Su; Institute for Systems Biology
  • Minas Karagiannis; National and Kapodistrian University of Athens
  • Theodoros Marantos; National and Kapodistrian University of Athens
  • Yehudit Hasin-Brumshtein; Inflammatix, Inc
  • Yudong D He; Inflammatix, Inc
  • Evangelos J Giamarellos-Bourboulis; National and Kapodistrian University of Athens
  • Jim Heath; Institute for Systems Biology
  • Purvesh Khatri; Stanford University
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20205880
ABSTRACT
SARS-CoV-2 pandemic, the fourth pandemic of the decade, has underscored gaps in global pandemic preparedness and the need for generalizable tests to avert overwhelming healthcare systems worldwide, irrespective of a virus. We integrated 4,780 blood transcriptome profiles from patients infected with one of 16 viruses across 34 independent cohorts from 18 countries, and 71 scRNA-seq profiles of 264,224 immune cells across three independent cohorts. We found a myeloid cell-dominated conserved host response associated with severity. It showed increased hematopoiesis, myelopoiesis, and myeloid-derived suppressor cells with increased severity. We identified four gene modules that delineate distinct trajectories associated with mild and severe outcomes, and show the interferon response was decoupled from protective host response during severe viral infection. These modules distinguished non-severe from severe viral infection with clinically useful accuracy. Together, our findings provide insights into immune response dynamics during viral infection, and identify factors that may influence patient outcomes.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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