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ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol.
Sec. Clinical Infectious Diseases
Volume 14 - 2024 | doi: 10.3389/fcimb.2024.1380855

Unravelling the acute respiratory infection landscape: virus type, viral load, health status and coinfection do matter Provisionally Accepted

 Hortense Petat1* Sandrine Corbet2 Bryce Leterrier3  Astrid VABRET2  Meriadeg Ar Gouilh2
  • 1Centre Hospitalier Universitaire (CHU) de Rouen, France
  • 2Centre Hospitalier Universitaire de Caen, France
  • 3Université de Rouen, France

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Introduction: Acute respiratory infections (ARI) are the most common infections in the general population and are mainly caused by respiratory viruses. Detecting several viruses in a respiratory sample is common. To better understand these viral codetections and potential interferences, we tested for the presence of viruses and developed quantitative PCR (Polymerase Chain Reaction) for the viruses most prevalent in coinfections: human rhinovirus (HRV) and respiratory syncytial virus (RSV), and quantified their viral loads according to coinfections and health status, age, cellular abundance and other variables.
Material and methods: Samples from two different cohorts were analyzed: one included hospitalized infants under 12 months of age with acute bronchiolitis (n=719) and the other primary care patients of all ages with symptoms of ARI (n=685). We performed Multiplex PCR on nasopharyngeal swabs, and quantitative PCR on samples positive for HRV or/and RSV to determine viral loads (VL). Cellular abundance (CA) was also estimated by qPCR targeting the GAPDH gene. Genotyping was performed either directly from first-line molecular panel or by PCR and sequencing for HRV.
Results: The risks of viral codetection were 4.1 (IC95[1.8; 10.0]) and 93.9 1 (IC95[48.7; 190.7]) higher in infants hospitalized for bronchiolitis than in infants in primary care for RSV and HRV respectively (p<0.001). CA was higher in samples positive for multiple viruses than in mono-infected or negative samples (p<0.001), and higher in samples positive for RSV (p<0.001) and HRV (p<0.001) than in negative samples. We found a positive correlation between CA and VL for both RSV and HRV. HRV VL was higher in children than in the elderly (p<0.05), but not RSV VL. HRV VL was higher when detected alone than in samples coinfected with RSV-A and with RSV-B. There was a significant increase of RSV-A VL when codetecting with HRV (p=0.001) and when co-detecting with RSV-B+HRV versus RSV-A+ RSV-B (p=0.02).
Conclusion: Many parameters influence the natural history of respiratory viral infections, and quantifying respiratory viral loads can help disentangle their contributions to viral outcome.

Keywords: respiratory viral load, Viral respiratory infections, respiratory syncytial virus, Rhinovirus, respiratory viral co-infections

Received: 02 Feb 2024; Accepted: 24 Apr 2024.

Copyright: © 2024 Petat, Corbet, Leterrier, VABRET and Ar Gouilh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Hortense Petat, Centre Hospitalier Universitaire (CHU) de Rouen, Rouen, France