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Longitudinal host transcriptional responses to SARS-CoV-2 infection in adults with extremely high viral load.
Avadhanula, Vasanthi; Creighton, Chad; Ferlic-Stark, Laura; Sucgang, Richard; Zhang, Yiqun; Nagaraj, Divya; Nicholson, Erin; Rajan, Anubama; Menon, Vipin; Doddapaneni, Harshavardhan; Muzny, Donna; Metcalf, Ginger; Cregeen, Sara Javornik; Hoffman, Kristi; Gibbs, Richard; Petrosino, Joseph; Piedra, Pedro.
Affiliation
  • Avadhanula V; Baylor College of Medicine.
  • Creighton C; Baylor College of Medicine.
  • Ferlic-Stark L; Baylor College of Medicine.
  • Sucgang R; Houston Methodist.
  • Zhang Y; Baylor College of Medicine.
  • Nagaraj D; Baylor College of Medicine.
  • Nicholson E; Baylor College of Medicine.
  • Rajan A; Baylor College of Medicine.
  • Menon V; Baylor College of Medicine.
  • Doddapaneni H; Baylor College of Medicine.
  • Muzny D; Baylor College of Medicine.
  • Metcalf G; Baylor College of Medicine.
  • Cregeen SJ; Baylor College of Medicine.
  • Hoffman K; Baylor College of Medicine.
  • Gibbs R; Baylor College of Medicine.
  • Petrosino J; Baylor College of Medicine.
  • Piedra P; Baylor College of Medicine.
Res Sq ; 2023 Jun 05.
Article in En | MEDLINE | ID: mdl-37333115
ABSTRACT
Current understanding of viral dynamics of SARS-CoV-2 and host responses driving the pathogenic mechanisms in COVID-19 is rapidly evolving. Here, we conducted a longitudinal study to investigate gene expression patterns during acute SARS-CoV-2 illness. Cases included SARS-CoV-2 infected individuals with extremely high viral loads early in their illness, individuals having low SARS-CoV-2 viral loads early in their infection, and individuals testing negative for SARS-CoV-2. We could identify widespread transcriptional host responses to SARS-CoV-2 infection that were initially most strongly manifested in patients with extremely high initial viral loads, then attenuating within the patient over time as viral loads decreased. Genes correlated with SARS-CoV-2 viral load over time were similarly differentially expressed across independent datasets of SARS-CoV-2 infected lung and upper airway cells, from both in vitro systems and patient samples. We also generated expression data on the human nose organoid model during SARS-CoV-2 infection. The human nose organoid-generated host transcriptional response captured many aspects of responses observed in the above patient samples, while suggesting the existence of distinct host responses to SARS-CoV-2 depending on the cellular context, involving both epithelial and cellular immune responses. Our findings provide a catalog of SARS-CoV-2 host response genes changing over time.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies Language: En Journal: Res Sq Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies Language: En Journal: Res Sq Year: 2023 Document type: Article