Autor: |
Vasanthi Avadhanula, Chad J. Creighton, Laura Ferlic-Stark, Richard Sucgang, Yiqun Zhang, Divya Nagaraj, Erin G Nicholson, Anubama Rajan, Vipin Kumar Menon, Harshavardhan Doddapaneni, Donna M Muzny, Ginger A Metcalf, Sara Joan Javornik Cregeen, Kristi L Hoffman, Richard A Gibbs, Joseph J Petrosino, Pedro A Piedra |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
bioRxiv |
Popis: |
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. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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