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Without confirmation of the ventilation design conditions (typology and airflow rate), the common practice of identifying unidirectional airflow (UDAF) systems as equivalent to ultra-clean air ventilation systems may be misleading, but also any claims about the ineffectiveness of UDAF systems should be doubted. The aim of this review was to assess and compare ventilation system design conditions for which ultra-clean air (mean <10 cfu/m³) within 50 cm from the wound has been reported. Six medical databases were systematically searched to identify and select studies reporting intraoperative airborne levels expressed as cfu/m³ close to the wound site, and ventilation system design conditions. Available data on confounding factors such as the number of persons present in the operating room, number of door openings, and clothing material were also included. Predictors for achieving mean airborne bacteria levels within <10 cfu/m³ were identified using a penalized multivariate logistic regression model. Twelve studies met the eligibility criteria and were included for analysis. UDAF systems considered had significantly higher air volume flows compared with turbulent ventilation (TV) systems considered. Ultra-clean environments were reported in all UDAF-ventilated (N = 7) rooms compared with four of 11 operating rooms equipped with TV. On multivariate analysis, the total number of air exchange rates (P=0.019; odds ratio (OR) 95% confidence interval (CI): 0.66–0.96) and type of clothing material (P=0.031; OR 95% CI: 0.01–0.71) were significantly associated with achieving mean levels of airborne bacteria <10 cfu/m³. High-volume UDAF systems complying with DIN 1946-4:2008 standards for the airflow rate and ceiling diffuser size unconditionally achieve ultra-clean air close to the wound site. In conclusion, the studied articles demonstrate that high-volume UDAF systems perform as ultra-clean air systems and are superior to TV systems in reducing airborne bacteria levels close to the wound site.

Vector-borne flaviviruses and coronaviruses of zoonotic origins are important human pathogens and represent a serious threat to public health worldwide. Flaviviruses can be found on all continents, apart from Antarctica, where they are transmitted by arthropod vectors causing millions of infections every year. While most of the infections are mild or asymptomatic, flaviviruses like dengue and yellow fever viruses can cause potentially lethal hemorrhagic fever and shock syndrome. Neurotropic flaviviruses like West Nile, Japanese encephalitis, and Tick-borne encephalitis (TBEV) can cause meningoencephalitis with long-term symptoms.  Coronaviruses, and in particular betacoronaviruses of zoonotic origin like SARS (2003) and MERS (2012), have been periodically emerging since the early 2000s causing outbreaks of severe respiratory syndrome. The latest example is SARS-CoV-2 that after causing a cluster of infection in the Chinese city of Wuhan, spread all over the world causing at present over 6.9 million deaths. Although vaccines are essential in preventing infections or severe disease and hospitalization in the case of SARS-CoV-2, antivirals represent an extremely valuable tool for treatment and prevention of current and future flavivirus and coronavirus infections. In the work presented in this thesis we have used a combination of in silico and in vitro techniques to identify and test the activity of potential inhibitors of viral proteases. 

In our first study (paper 1) we unexpectedly identified an HIV protease inhibitor with in vitro activity against ZIKV NS2B-NS3 protease. The inhibitor was identified by virtual screening of a library of known protease inhibitors, evaluated by molecular dynamics simulation and finally tested against recombinant ZIKV protease using a FRET-based enzymatic assay. The same combination of molecular docking and molecular dynamics simulations were also used to correctly predict the activity of a known pan-Flavivirus protease inhibitor against TBEV protease (paper 2). As a result, we were the first to report peptide-based compounds with in vitro activity against TBEV. 

After the outbreak of the COVID-19 we switched our attention to SARS-CoV-2. We first tested the inhibitory effect of the broad-spectrum antiviral nitric oxide (NO) and found that the NO-releasing compound SNAP had a dose dependent inhibitory effect on SARS-CoV-2 replication in cell-based assays (paper 3). We speculated that SNAP could inhibit SARS-COV-2 protease by trans-nitration of the catalytic Cys145 of SARS-CoV-2 main protease and found that SNAP had a dose dependent inhibitory effect on recombinant SARS-CoV-2 Mpro protease activity in an in vitro enzymatic assay. In our last study (paper 4) we identified a new class of potent SARS-CoV-2 protease inhibitors through the affinity screening of DNA-encoded-chemical libraries containing 4.2 billion compounds. The identified compounds inhibited recombinant SARS-CoV-2 protease with IC50 as low as 25 nM and had a dose dependent antiviral effect in the low micromolar range in infected Calu-3 and Caco-2 cell lines. 

Tick-borne encephalitis (TBE) is a severe neurological disorder caused by tick-borne encephalitis virus (TBEV), a member of the Flavivirus genus. Currently, two vaccines are available in Europe against TBEV. However, TBE cases have been rising in Sweden for the past twenty years, and thousands of cases are reported in Europe, emphasizing the need for antiviral treatments against this virus. The NS2B-NS3 protease is essential for flaviviral life cycle and has been studied as a target for the design of inhibitors against several well-known flaviviruses, but not TBEV. In the present study, Compound 86, a known tripeptidic inhibitor of dengue (DENV), West Nile (WNV) and Zika (ZIKV) proteases, was predicted to be active against TBEV protease using a combination of in silico techniques. Further, Compound 86 was found to inhibit recombinant TBEV protease with an IC50 = 0.92 mu M in the in vitro enzymatic assay. Additionally, two more peptidic analogues were synthetized and they displayed inhibitory activities against both TBEV and ZIKV proteases. In particular, Compound 104 inhibited ZIKV protease with an IC50 = 0.25 mu M. These compounds represent the first reported inhibitors of TBEV protease to date and provides valuable information for the further development of TBEV as well as pan-flavivirus protease inhibitors.

Zika virus (ZIKV) is an emerging mosquito-borne flavivirus and infection by ZIKV Asian lineage is known to cause fetal brain anomalies and Guillain-Barrés syndrome. The WHO declared ZIKV a global public health emergency in 2016. However, currently neither vaccines nor antiviral prophylaxis/treatments are available. In this study, we report the identification of a C2-symmetric diol-based Human immunodeficiency virus type-1 (HIV) protease inhibitor active against ZIKV NS2B-NS3 protease. The compound, referred to as 9b, was identified by in silico screening of a library of 6265 protease inhibitors. Molecular dynamics (MD) simulation studies revealed that compound 9b formed a stable complex with ZIKV protease. Interaction analysis of compound 9b's binding pose from the cluster analysis of MD simulations trajectories predicted that 9b mostly interacted with ZIKV NS3. Although designed as an aspartyl protease inhibitor, compound 9b was found to inhibit ZIKV serine protease in vitro with IC₅₀ = 143.25 ± 5.45 µM, in line with the in silico results. Additionally, linear interaction energy method (LIE) was used to estimate binding affinities of compounds 9b and 86 (a known panflavivirus peptide hybrid with IC₅₀ = 1.64 ± 0.015 µM against ZIKV protease). The LIE method correctly predicted the binding affinity of compound 86 to be lower than that of 9b, proving to be superior to the molecular docking methods in scoring and ranking compounds. Since most of the reported ZIKV protease inhibitors are positively charged peptide-hybrids, with our without electrophilic warheads, compound 9b represents a less polar and more drug-like non-peptide hit compound useful for further optimization.Communicated by Ramaswamy Sarma.

The ongoing SARS-CoV-2 pandemic is a global public health emergency posing a high burden on nations' health care systems and economies. Despite the great effort put in the development of vaccines and specific treatments, no prophylaxis or effective therapeutics are currently available. Nitric oxide (NO) is a broad-spectrum antimicrobial and a potent vasodilator that has proved to be effective in reducing SARS-CoV replication and hypoxia in patients with severe acute respiratory syndrome. Given the potential of NO as treatment for SARS-CoV-2 infection, we have evaluated the in vitro antiviral effect of NO on SARS-CoV-2 replication. The NO-donor S-nitroso-N-acetylpenicillamine (SNAP) had a dose dependent inhibitory effect on SARS-CoV-2 replication, while the non S-nitrosated NAP was not active, as expected. Although the viral replication was not completely abolished (at 200 μM and 400 μM), SNAP delayed or completely prevented the development of viral cytopathic effect in treated cells, and the observed protective effect correlated with the level of inhibition of the viral replication. The capacity of the NO released from SNAP to covalently bind and inhibit SARS-CoV-2 3CL recombinant protease in vitro was also tested. The observed reduction in SARS-CoV-2 protease activity was consistent with S-nitrosation of the enzyme active site cysteine.

In vitro screening of large compound libraries with automated high-throughput screening is expensive and time-consuming and requires dedicated infrastructures. Conversely, the selection of DNA-encoded chemical libraries (DECLs) can be rapidly performed with routine equipment available in most laboratories. In this study, we identified novel inhibitors of SARS-CoV-2 main protease (M^pro) through the affinity-based selection of the DELopen library (open access for academics), containing 4.2 billion compounds. The identified inhibitors were peptide-like compounds containing an N-terminal electrophilic group able to form a covalent bond with the nucleophilic Cys145 of M^pro, as confirmed by x-ray crystallography. This DECL selection campaign enabled the discovery of the unoptimized compound SLL11 (IC₅₀ = 30 nM), proving that the rapid exploration of large chemical spaces enabled by DECL technology allows for the direct identification of potent inhibitors avoiding several rounds of iterative medicinal chemistry. As demonstrated further by x-ray crystallography, SLL11 was found to adopt a highly unique U-shaped binding conformation, which allows the N-terminal electrophilic group to loop back to the S1′ subsite while the C-terminal amino acid sits in the S1 subsite. MP1, a close analog of SLL11, showed antiviral activity against SARS-CoV-2 in the low micromolar range when tested in Caco-2 and Calu-3 (EC₅₀ = 2.3 µM) cell lines. As peptide-like compounds can suffer from low cell permeability and metabolic stability, the cyclization of the compounds will be explored in the future to improve their antiviral activity.

We report a new tool for improved serological diagnostics in suspected tick-borne encephalitis (TBE) vaccine failure cases. Due to an increase in the incidence of disease as well as the number of vaccinees, specific and simplified diagnostic methods are needed. Antibody responses to TBE-virus (TBEV) non-structural protein 1 (NS1) are detectable post TBEV infection but not post vaccination. We have used samples from 14 previously confirmed Swedish TBEV vaccine failure patients to study antibody responses against NS1 and whole virus antigens, respectively. Our conclusion is that the detection of antibodies directed to TBEV NS1 antigen is a useful tool to considerably simplify and improve the quality in investigations regarding suspected TBEV infection in vaccinated patients.

Tick-borne encephalitis virus (TBEV) is an important European vaccine-preventable pathogen. Discrimination of vaccine-induced antibodies from those elicited by infection is important. We studied anti-TBEV IgM/IgG responses, including avidity and neutralisation, by multiplex serology in 50 TBEV patients and 50 TBEV vaccinees. Infection induced antibodies reactive to both whole virus (WV) and non-structural protein 1 (NS1) in 48 clinical cases, whereas 47 TBEV vaccinees had WV, but not NS1 antibodies, enabling efficient discrimination of infection/vaccination.

Highly pathogenic avian influenza (HPAI) viruses continue to circulate worldwide, causing numerous outbreaks among bird species and severe public health concerns. H5N1 and H5N8 are the two most fundamental HPAI subtypes detected in birds in the last two decades. The two viruses may compete with each other while sharing the same host population and, thus, suppress the spread of one of the viruses. In this study, we performed a statistical analysis to investigate the temporal correlation of the HPAI H5N1 and HPAI H5N8 subtypes using globally reported data in 2015-2020. This was joined with an in-depth analysis using data generated via our national surveillance program in Egypt. A total of 6412 outbreaks were reported worldwide during this period, with 39% (2529) as H5N1 and 61% (3883) as H5N8. In Egypt, 65% of positive cases were found in backyards, while only 12% were found in farms and 23% in live bird markets. Overall, our findings depict a trade-off between the number of positive H5N1 and H5N8 samples around early 2017, which is suggestive of the potential replacement between the two subtypes. Further research is still required to elucidate the underpinning mechanisms of this competitive dynamic. This, in turn, will implicate the design of effective strategies for disease control.

The significance of the clinical impact of direct-acting antiviral (DAA) resistance-associated substitutions (RASs) in hepatitis C virus (HCV) on treatment failure is unclear. No standardized methods or guidelines for detection of DAA RASs in HCV exist. To facilitate further evaluations of the impact of DAA RASs in HCV, we conducted a systematic review of RAS sequencing protocols, compiled a comprehensive public library of sequencing primers, and provided expert guidance on the most appropriate methods to screen and identify RASs. The development of standardized RAS sequencing protocols is complicated due to a high genetic variability and the need for genotype- and subtype-specific protocols for multiple regions. We have identified several limitations of the available methods and have highlighted areas requiring further research and development. The development, validation, and sharing of standardized methods for all genotypes and subtypes should be a priority.