Biology subjects

Rockey, N. C.

Publications and source records attributed to Rockey, N. C..

6 recordsLinked to original sources

bioRxiv2026

Relative humidity differentially modulates decay of structurally distinct respiratory viruses in deposited human saliva particles

Respiratory viruses pose a major threat to human health. Environmental virus persistence in respiratory secretions is essential for successful spread, yet studies have focused largely on a select few viruses in non-physiological matrices. Here, we compared the stability of structurally distinct human respiratory viruses, adenovirus, influenza virus, and rhinovirus, in deposited particles of pooled human saliva under indoor-relevant relative humidity (RH) conditions. Adenovirus exhibited <2.2-log10 decay over 6 h regardless of RH, while rhinovirus exhibited significantly greater degradation (>3.8-log10, at 50% and 80% RH). Influenza virus showed minimal decay at 20% and 50% RH but degraded significantly more (3-log10) at 80% RH. To distinguish aspects of human saliva that are key determinants in driving virus decay, we recapitulated saliva composition using the inorganic solute and protein concentrations determined via ion-coupled plasma mass spectrometry and proteomics, respectively. Rhinovirus was significantly more stable in simulated saliva than in human saliva at 50% RH, while influenza virus and adenovirus behaved similarly in both matrices. These findings emphasize virus-specific environmental persistence and highlight limitations of relying on a single virus and particle matrix for defining public health strategies. Ultimately, these insights will contribute to approaches for mitigating environmental transmission of distinct respiratory pathogens.

microbiology↗

bioRxiv2024

Potential pandemic risk of circulating swine H1N2 influenza viruses

Influenza A viruses in swine have considerable genetic diversity and continue to pose a pandemic threat to humans. They were the source of the most recent influenza pandemic, and since 2010, novel swine viruses have spilled over into humans more than 400 times in the United States. Although these zoonotic infections generally result in mild illness with limited onward human transmission, the potential for sustained transmission of an emerging influenza virus between individuals due to lack of population level immunity is of great concern. Compiling the literature on pandemic threat assessment, we established a pipeline to characterize and triage influenza viruses for their pandemic risk and examined the pandemic potential of two widespread swine origin viruses. Our analysis revealed that a panel of human sera collected from healthy adults in 2020 has no cross-reactive neutralizing antibodies against an -H1 clade strain but do against a {gamma}-H1 clade strain. Swine H1N2 virus from the -H1 clade (-swH1N2) replicated efficiently in human airway cultures and exhibited phenotypic signatures similar to the human H1N1 pandemic strain from 2009 (H1N1pdm09). Furthermore, -swH1N2 was capable of efficient airborne transmission to both naive ferrets and ferrets with prior seasonal influenza immunity. Ferrets with H1N1pdm09 pre-existing immunity had reduced -swH1N2 viral shedding from the upper respiratory tract and cleared the infection faster. Despite this, H1N1pdm09-immune ferrets that became infected via the air could still onward transmit -swH1N2 with an efficiency of 50%. Taken together, these results indicate that this -swH1N2 strain has a higher pandemic potential, but a moderate level of impact since there is reduced replication fitness in animals with prior immunity.

microbiology↗

bioRxiv2023

Ventilation does not affect influenza virus transmission efficiency in a ferret playpen setup

Sustained community spread of influenza viruses relies on efficient person-to-person transmission. Current experimental transmission systems do not mimic environmental conditions (e.g., air exchange rates, flow patterns), host behaviors or exposure durations relevant to real-world settings. Therefore, results from these traditional systems may not be representative of influenza virus transmission in humans. To address this pitfall, we developed a modified, more realistic transmission setup and used it to investigate the impact of ventilation rates on transmission in a close-range, play-based scenario. In this setup, four immunologically naive recipient ferrets were exposed to a donor ferret infected with a genetically barcoded 2009 H1N1 virus (H1N1pdm09) for four hours. The ferrets interacted in a shared space that included toys, similar to a child care setting. The transmission efficiency was determined under conditions of low and high ventilation rates; air exchange rates of [~] 1.3 hr-1 and 23 hr-1, respectively. Despite the large difference in ventilation rate, transmission efficiency was the same, 50% in two independent replicate studies. The presence of infectious virus or viral RNA on surfaces and in air throughout the exposure area was similar regardless of ventilation rate. While high viral genetic diversity in donor ferret nasal washes was maintained during infection, recipient ferret nasal washes displayed low diversity, revealing a narrow transmission bottleneck regardless of ventilation rate. Our findings indicate that in exposures characterized by frequent close-range, play-based interactions and the presence of fomites, ventilation does not significantly impact transmission efficiency. SignificanceImproved ventilation in building has the potential to reduce transmission of respiratory viruses, but its effect in different settings is not well understood. We developed a novel system to study influenza virus transmission in the ferret animal model in an environment that mimics a child care center. We demonstrate that increased ventilation is not effective at disrupting transmission in this setting, suggesting that transmission occurs mainly at close-range or via fomites. Multiple interventions are needed to reduce the spread of influenza virus in this type of setting.

microbiology↗

bioRxiv2023

Linear Mixed Model of Virus Disinfection by Chlorine to Harmonize Data Collected Across Broad Environmental Conditions

Despite the critical importance of virus disinfection by chlorine, we lack a fundamental understanding of the relative susceptibility of different viruses to chlorine and robust quantitative relationships between virus disinfection rate constants and environmental parameters. We conducted a rapid systematic review of virus inactivation by free chlorine and used the resulting data set to develop a linear mixed model that estimates chlorine inactivation rate constants for viruses based on experimental conditions. Over 550 data points were collected in our systematic review, representing 82 viruses over a broad range of environmental conditions. The harmonized inactivation rate constants under reference conditions (pH = 7.53, T = 20 {degrees}C, [Cl-] < 50 mM) spanned 4 orders of magnitude, ranging from 0.0196 to 1150 L mg-1 min-1 and uncovered important trends between viruses. Whereas common surrogate bacteriophage MS2 does not serve as a conservative chlorine disinfection surrogate for many human viruses, CVB5 was one of the most resistant viruses in the dataset. The model quantifies the role of pH, temperature, and chloride levels across viruses, and an online tool allows users to predict rate constants for viruses and conditions of interest. Results from the model highlighted potential shortcomings in current USEPA disinfection guidelines. SynopsisViruses must be adequately removed by disinfection processes to protect public health. We review data on virus inactivation of chlorine to determine what concentrations of chlorine are required to remove viruses and whether current regulations are adequately protective.

microbiology↗

bioRxiv2023

Seasonal influenza viruses decay more rapidly at intermediate humidity in droplets containing saliva compared to respiratory mucus

Expulsions of virus-laden aerosols or droplets are an important source of onward respiratory virus transmission and can originate from both the oral and nasal cavity of an infected host. However, the presence of infectious influenza virus in the oral cavity during infection has not been widely considered, and thus little work has explored the environmental persistence of influenza virus in oral cavity expulsions that may facilitate transmission. Using the ferret model, we detected infectious virus in the nasal and oral cavities, suggesting that virus can be expelled into the environment from either anatomical site. We also assessed the stability of two influenza A viruses (H1N1 and H3N2) in droplets of human saliva or respiratory mucus over a range of relative humidities. We observed that influenza virus infectivity decays rapidly in saliva droplets at intermediate relative humidity, while viruses in airway surface liquid droplets retain infectivity. Virus inactivation was not associated with bulk protein content, salt content, or droplet drying time. Instead, we found that saliva droplets exhibited distinct inactivation kinetics during the wet and dry phases at intermediate relative humidity and that droplet residue morphology may lead to the elevated first-order inactivation rate observed during the dry phase. Additionally, distinct differences in crystalline structure and nanobead localization were observed between saliva and airway surface liquid droplets. Together, our work demonstrates that different respiratory fluids exhibit unique virus persistence profiles and suggests that influenza viruses expelled from the oral cavity may contribute to virus transmission in low and high humidity environments. ImportanceDetermining how viruses persist in the environment is important for mitigating transmission risk. Expelled infectious droplets and aerosols are composed of respiratory fluids, including saliva and complex mucus mixtures, but how influenza viruses survive in such fluids is largely unknown. Here, we find that infectious influenza virus is present in the oral cavity of infected ferrets, suggesting that saliva-containing expulsions can play a role in onward transmission. Additionally, influenza virus in droplets composed of saliva degrades more rapidly than virus within respiratory mucus. Droplet composition impacts the crystalline structure and virus localization in dried droplets. These results suggest that viruses from distinct sites in the respiratory tract could have variable persistence in the environment, which will impact viral transmission fitness.

microbiology↗

bioRxiv2020

Predictive modeling of virus inactivation by UV

Disinfection strategies are commonly applied to inactivate pathogenic viruses in water, food, air, and on surfaces to prevent the spread of infectious diseases. Determining how quickly viruses are inactivated to mitigate health risks is not always feasible due to biosafety restrictions or difficulties with virus culturability. Therefore, methods that would rapidly predict kinetics of virus inactivation by UV254 would be valuable, particularly for emerging and difficult-to-culture viruses. We conducted a rapid systematic literature review to collect high-quality inactivation rate constants for a wide range of viruses. Using these data and basic virus information (e.g., genome sequence attributes), we developed and evaluated four different model classes, including linear and non-linear approaches, to find the top performing prediction model. For both the (+) ssRNA and dsDNA virus types, multiple linear regressions were the top performing model classes. In both cases, the cross-validated root mean squared relative prediction errors were similar to those associated with experimental rate constants. We tested the models by predicting and measuring inactivation rate constants for two viruses that were not identified in our systematic review, including a (+) ssRNA mouse coronavirus and a dsDNA marine bacteriophage; the predicted rate constants were within 7% and 71% of the experimental rate constants, respectively. Finally, we applied our models to predict the UV254 rate constants of several viruses for which high-quality UV254 inactivation data are not available. Our models will be valuable for predicting inactivation kinetics of emerging or difficult-to-culture viruses.

microbiology↗