Programmable antivirals targeting critical conserved viral RNA secondary structures from influenza A virus and SARS-CoV-2

Influenza A virus’s (IAV’s) frequent genetic changes challenge vaccine strategies and engender resistance to current drugs. We sought to identify conserved and essential RNA secondary structures within IAV’s genome that are predicted to have greater constraints on mutation in response to therapeutic targeting. We identified and genetically validated an RNA structure (packaging stem–loop 2 (PSL2)) that mediates in vitro packaging and in vivo disease and is conserved across all known IAV isolates. A PSL2-targeting locked nucleic acid (LNA), administered 3 d after, or 14 d before, a lethal IAV inoculum provided 100% survival in mice, led to the development of strong immunity to rechallenge with a tenfold lethal inoculum, evaded attempts to select for resistance and retained full potency against neuraminidase inhibitor-resistant virus. Use of an analogous approach to target SARS-CoV-2, prophylactic administration of LNAs specific for highly conserved RNA structures in the viral genome, protected hamsters from efficient transmission of the SARS-CoV-2 USA_WA1/2020 variant. These findings highlight the potential applicability of this approach to any virus of interest via a process we term ‘programmable antivirals’, with implications for antiviral prophylaxis and post-exposure therapy

A Delay Differential Model for Pandemic Influenza with Antiviral Treatment

The use of antiviral drugs has been recognized as the primary public health strategy for mitigating the severity of a new influenza pandemic strain. However, the success of this strategy requires the prompt onset of therapy within 48 hours of the appearance of clinical symptoms. This requirement may be captured by a compartmental model that monitors the density of infected individuals in terms of the time elapsed since the onset of symptoms. We show that such a model can be expressed by a system of delay differential equations with both discrete and distributed delays. The model is analyzed to derive the criterion for disease control based on two critical factors: (i) the profile of treatment rate; and (ii) the level of treatment as a function of time lag in commencing therapy. Numerical results are also obtained to illustrate the feasible region of disease control. Our findings show that due to uncertainty in the attack rate of a pandemic strain, initiating therapy immediately upon diagnosis can significantly increase the likelihood of disease control and substantially reduce the required community-level of treatment. This suggests that reliable diagnostic methods for influenza cases should be rapidly implemented within an antiviral treatment strategy

Reducing the Burden of Influenza-Associated Complications with Antiviral Therapy

INTRODUCTION: Influenza imposes an annual burden on individuals, society, and healthcare systems. This burden is increased by the development of complications that are often more severe than the primary infection. Here, we examine the main complications associated with influenza and review the effectiveness of antiviral therapy in reducing the incidence of such events. MATERIAL AND METHODS: The content of this review is taken from the study of the authors' extensive collection of reference materials, examination of the bibliographical content of relevant papers, and the results of Medline searches. RESULTS: The most commonly encountered complications in adults are sinusitis, pharyngitis, bronchitis, and, particularly in the elderly, bacterial pneumonia. Such complications may exacerbate pulmonary complaints. Children are particularly prone to post-influenza croup and otitis media. Complications involving the central nervous system, heart, or skeletal muscle also occur in influenza patients. Influenza-associated complications impose sizeable healthcare costs in terms of outpatient contacts, hospitalizations, and antibiotic use. Vaccination is the primary prevention strategy for influenza and its complications, but has limitations. Neuraminidase inhibitors have demonstrated efficacy in reducing the incidence of influenza-associated complications in populations with different ages and risks. CONCLUSIONS: Influenza complications place a large burden on healthcare providers and society. Neuraminidase inhibitors can reduce the incidence of such complications, particularly in high-risk groups