Coronaviruses are a family of viruses that cause disease in mammals and birds. In humans, coronaviruses cause infections on the respiratory tract that can be fatal. These viruses can cause both mild illnesses such as the common cold and lethal illnesses such as SARS, MERS, and COVID-19. Air transmission represents the principal mode by which people become infected by SARS-CoV-2. To reduce the risks of air transmission of this powerful pathogen, we devised a method of inactivation based on the propagation of electromagnetic waves in the area to be sanitized. We optimized the conditions in a controlled laboratory environment mimicking a natural airborne virus transmission and consistently achieved a 90% (tenfold) reduction of infectivity after a short treatment using a Radio Frequency (RF) wave emission with a power level that is safe for people according to most regulatory agencies, including those in Europe, USA, and Japan. To the best of our knowledge, this is the first time that SARS-CoV-2 has been shown to be inactivated through RF wave emission under conditions compatible with the presence of human beings and animals. Additional in-depth studies are warranted to extend the results to other viruses and to explore the potential implementation of this technology in different environmental conditions.

Despite new antivirals are being approved against SARS-CoV-2 they suffer from significant constraints and are not indicated for hospitalized patients, who are left with few antiviral options. Repurposed drugs have previously shown controversial clinical results and it remains difficult to understand why certain trials delivered positive results and other trials failed. Our manuscript contributes to explaining the puzzle: this might have been caused by a suboptimal drug exposure and, consequently, an incomplete virus suppression, also because the drugs have mostly been used as add-on monotherapies. As with other viruses (e.g., HIV and HCV) identifying synergistic combinations among such drugs could overcome monotherapy-related limitations. In a cell culture model for SARS-CoV-2 infection the following stringent criteria were adopted to assess drug combinations: 1) identify robust, synergistic antiviral activity with no increase in cytotoxicity, 2) identify the lowest drug concentration inhibiting the virus by 100% (LIC₁₀₀) and 3) understand whether the LIC₁₀₀ could be reached in the lung at clinically indicated drug doses. Among several combinations tested, remdesivir with either azithromycin or ivermectin synergistically increased the antiviral activity with no increase in cytotoxicity, improving the therapeutic index and lowering the LIC₁₀₀ of every one of the drugs to levels that are expected to be achievable and maintained in the lung for a therapeutically relevant period of time. These results are consistent with recent clinical observations showing that intensive care unit admission was significantly delayed by the combination of AZI and RDV, but not by RDV alone, and could have immediate implications for the treatment of hospitalized patients with COVID-19 as the proposed “drug cocktails” should have antiviral activity against present and future SARS-CoV-2 variants without significant overlapping toxicity, while minimizing the onset of drug resistance. Our results also provide a validated methodology to help sort out which combination of drugs are most likely to be efficacious in vivo, based on their in vitro activity, potential synergy and PK profiles.

The emergence of SARS-CoV-2 variants requires close monitoring to prevent the reoccurrence of a new pandemic in the near future. The Omicron variant, in particular, is one of the fastest-spreading viruses, showing a high ability to infect people and evade neutralization by antibodies elicited upon infection or vaccination. Therefore, the search for broad-spectrum antivirals that can inhibit the infectious capacity of SARS-CoV-2 is still the focus of intense research. In the present work, hyperbranched poly-L-lysine nanopolymers, which have shown an excellent ability to block the original strain of SARS-CoV-2 infection, were modified with L-arginine. A thermal reaction at 240 °C catalyzed by boric acid yielded Lys-Arg hyperbranched nanopolymers. The ability of these nanopolymers to inhibit viral replication were assessed for the original, Delta, and Omicron strains of SARS-CoV-2 together with their cytotoxicity. A reliable indication of the safety profile and effectiveness of the various polymeric compositions in inhibiting or suppressing viral infection was obtained by the evaluation of the therapeutic index in an in vitro prevention model. The hyperbranched L-arginine-modified nanopolymers exhibited a twelve-fold greater therapeutic index when tested with the original strain. The nanopolymers could also effectively limit the replication of the Omicron strain in a cell culture.

SARS-CoV-2 is inactivated in aerosol (its primary mode of transmission) by means of radiated microwaves at frequencies that have been experimentally determined. Such frequencies are best predicted by the mathematical model suggested by Taylor, Margueritat and Saviot. The alignment between such mathematical prediction and the outcomes of our experiments serves to reinforce the efficacy of the radiated microwave technology and its promise in mitigating the transmission of SARS-CoV-2 in its naturally airborne state.

Although disease enhancement by antibodies has been described for corona and other viruses, nobody can predict whether such antibodies induced by the vaccine will not be harmful, especially after reinfection with a different strain. Alternative vaccines could induce memory T-cell responses, in the absence of antibodies, to kill newly infected cells. Preclinical testing of such precision vaccines is performed in silico without animal experiments since epitopes predicted to bind to three HLA class I molecules of a subject activate cytotoxic T-cell response with more than 80% probability. Data science can be utilized to select the immunogenic vaccine peptides from the coronavirus replicase protein and estimate the immune response rate in an HLA-genotyped population. Employing accessible platform technologies, a set of precision vaccines could be co-developed with an HLA-genotype based companion diagnostic to identify the vaccine that most likely induces responses in the subject. The goal of precision vaccination is to convert the deadly COVID-19 into asymptomatic disease and to avoid the potential risk of disease enhancement. READ ARTICLE (https://precisionnanomedicine.com/article/12561)

T cell-based immunotherapies increasingly include personalized neoantigen vaccines that target tumor-specific mutations. However, despite their promise, current neoantigen vaccines show limited and unpredictable clinical benefit, with T cell responses observed in only a subset of patients. To overcome these limitations, we developed the VERDI (Vaccine Epitopes Ranked by Digital Intelligence) System—a cloud-based computational platform that integrates a patient’s human leukocyte antigen (HLA) class I and II genotype with selected tumor-associated antigens (TAAs), including cancer-testis antigens (CTAs), to identify peptides with high predicted immunogenicity and low risk of immune-related adverse events (irAEs). Using the VERDI System, we designed ten personalized peptide vaccines for a patient with metastatic signet ring cell carcinoma (SRCC), a rare and aggressive gastric cancer with limited treatment options. All ten VERDI vaccines were well tolerated and consistently induced tumor-specific T cell responses following a single administration, without the need for checkpoint inhibitors. The patient survived for 15 months—substantially longer than the reported median survival of 5.6 months in metastatic SRCC—highlighting the potential of this individualized, predictive vaccine platform to improve outcomes in advanced cancer.