Longitudinal host transcriptional responses to SARS-CoV-2 infection in adults with extremely high viral load

V Vasanthi Avadhanula C Chad J. Creighton (Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine) L Laura Ferlic-Stark D Divya Nagaraj Y Yiqun Zhang (Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University) R Richard Sucgang E Erin G. Nicholson A Anubama Rajan V Vipin Kumar Menon H Harshavardhan Doddapaneni D Donna Marie Muzny G Ginger A. Metcalf S Sara Joan Javornik Cregeen K Kristi Louise Hoffman R Richard A. Gibbs J Joseph F. Petrosino P Pedro A. Piedra

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.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 1
Published January 16, 2025
Pages e0317033
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (17)

V

Vasanthi Avadhanula

C

Chad J. Creighton

Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine

L

Laura Ferlic-Stark

D

Divya Nagaraj

Y

Yiqun Zhang

Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University

R

Richard Sucgang

E

Erin G. Nicholson

A

Anubama Rajan

V

Vipin Kumar Menon

H

Harshavardhan Doddapaneni

D

Donna Marie Muzny

G

Ginger A. Metcalf

S

Sara Joan Javornik Cregeen

K

Kristi Louise Hoffman

R

Richard A. Gibbs

J

Joseph F. Petrosino

P

Pedro A. Piedra