Language
English
Publication Date
1-1-2025
Journal
PLoS One
DOI
10.1371/journal.pone.0317033
PMID
39820858
PMCID
PMC11737797
PubMedCentral® Posted Date
1-16-2025
PubMedCentral® Full Text Version
Post-print
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 and magnitude of these host responses were significantly correlated to viral load.
Keywords
Humans, COVID-19, Viral Load, SARS-CoV-2, Longitudinal Studies, Adult, Lung, Host-Pathogen Interactions, Male, Female
Published Open-Access
yes
Recommended Citation
Avadhanula, Vasanthi; Creighton, Chad J; Ferlic-Stark, Laura; et al., "Longitudinal Host Transcriptional Responses to SARS-CoV-2 Infection in Adults With Extremely High Viral Load" (2025). Faculty and Staff Publications. 2175.
https://digitalcommons.library.tmc.edu/baylor_docs/2175
Included in
Biological Phenomena, Cell Phenomena, and Immunity Commons, Biomedical Informatics Commons, COVID-19 Commons, Epidemiology Commons, Genetics and Genomics Commons, Medical Genetics Commons, Medical Molecular Biology Commons, Medical Specialties Commons