Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The pandemic potential of influenza A viruses (IAV) depends on the infectivity of the host, transmissibility of the virus, and susceptibility of the recipient. While virus traits supporting IAV transmission have been studied in detail using ferret and guinea pig models, there is limited understanding of host traits determining transmissibility and susceptibility because current animal models of transmission are not sufficiently tractable. Although mice remain the primary model to study IAV immunity and pathogenesis, the efficiency of IAV transmission in adult mice has been inconsistent. Here we describe an infant mouse model that supports efficient transmission of IAV. We demonstrate that transmission in this model requires young age, close contact, shedding of virus particles from the upper respiratory tract (URT) of infected pups, the use of a transmissible virus strain, and a susceptible recipient. We characterize shedding as a marker of infectiousness that predicts the efficiency of transmission among different influenza virus strains. We also demonstrate that transmissibility and susceptibility to IAV can be inhibited by humoral immunity via maternal-infant transfer of IAV-specific immunoglobulins and modifications to the URT milieu, via sialidase activity of colonizing Due to its simplicity and efficiency, this model can be used to dissect the host's contribution to IAV transmission and explore new methods to limit contagion. This study provides insight into the role of the virus strain, age, immunity, and URT flora on IAV shedding and transmission efficiency. Using the infant mouse model, we found that (i) differences in viral shedding of various IAV strains are dependent on specific hemagglutinin (HA) and/or neuraminidase (NA) proteins, (ii) host age plays a key role in the efficiency of IAV transmission, (iii) levels of IAV-specific immunoglobulins are necessary to limit infectiousness, transmission, and susceptibility to IAV, and (iv) expression of sialidases by colonizing antagonizes transmission by limiting the acquisition of IAV in recipient hosts. Our findings highlight the need for strategies that limit IAV shedding and the importance of understanding the function of the URT bacterial composition in IAV transmission. This work reinforces the significance of a tractable animal model to study both viral and host traits affecting IAV contagion and its potential for optimizing vaccines and therapeutics that target disease spread.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299224PMC
http://dx.doi.org/10.1128/mBio.02359-18DOI Listing

Publication Analysis

Top Keywords

iav transmission
20
iav
15
transmission
13
infant mouse
12
mouse model
12
influenza virus
8
humoral immunity
8
host traits
8
transmissibility susceptibility
8
model study
8

Similar Publications

Wastewater surveillance of SARS-CoV-2 and influenza in a dynamic university community: understanding how wastewater measurements correspond to reported cases.

Sci Total Environ

September 2025

Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA; Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16801, USA. Electronic address:

Wastewater surveillance is increasingly an effective public health tool for responding to epidemics and preparing for annual cycles of respiratory illnesses. We measured genetic markers from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), influenza A virus (IAV) and influenza B virus (IBV) in untreated wastewater of a university campus and its local residential community over a four-year period using digital Polymerase Chain Reaction (PCR) methods. These data were then analyzed and compared to clinical case data reported to the state by zip code.

View Article and Find Full Text PDF

Surveillance of swine influenza A virus (swIAV) traditionally focuses on respiratory matrices, yet emerging evidence suggests that fecal shedding and secondary environmental contamination may also contribute to viral dissemination. In this study, we collected and analyzed nasal, rectal, environmental, milk, and colostrum samples from naturally infected pigs in a commercial farm in Minas Gerais, Brazil. IAV RNA was detected in 25% of samples, including 42% from asymptomatic animals, with nasal swabs showing higher detection rates (30%) than rectal swabs (20%), though rectal Ct values were consistently higher, indicative of lower viral loads.

View Article and Find Full Text PDF

Background: Influenza A virus (IAV) poses a significant threat to animal health globally, with its ability to overcome species barriers and cause pandemics. Rapid and accurate IAV subtypes and host source prediction is crucial for effective surveillance and pandemic preparedness. Deep learning has emerged as a powerful tool for analyzing viral genomic sequences, offering new ways to uncover hidden patterns associated with viral characteristics and host adaptation.

View Article and Find Full Text PDF

Influenza A viruses (IAVs) have historically posed significant public health threats, causing severe pandemics. Viral host specificity is typically constrained by host barriers, limiting the range of species that can be infected. However, these barriers are not absolute, and occasionally, cross-species transmission occurs, leading to human outbreaks.

View Article and Find Full Text PDF

The dynamics of common respiratory pathogens in southern china under the context of COVID-19 pandemic and prediction of mycoplasma pneumonia (2018-2023).

J Virol Methods

December 2025

National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China. Electronic address:

This study investigates the epidemiological characteristics of common respiratory pathogens across three distinct periods: before, during and after the COVID-19 pandemic, We aimed to determine whether new trends in the transmission of respiratory pathogens would emerge as non-pharmaceutical intervention (NPIs) were gradually lifted. We analyzed the differences observed between the pre-epidemic, epidemic and post-epidemic periods. An autoregressive integrated moving average (ARIMA) time series model was employed to predict future trends of Mycoplasma pneumoniae (MP) infections.

View Article and Find Full Text PDF