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BTV is a prototype double-stranded RNA virus in the genus Orbivirus, family Reoviridae. BTV is one of the most important diseases of domestic livestock, including sheep, goat, cattle and other domestic animals, with $3 billion/year loss worldwide1,2. The exotic BTV serotype is an important animal pathogen listed in the "USDA High Consequence Livestock Pathogens." Recently, the re-emerging of BTV has caused a major outbreak of disease in cattle and sheep in several countries across Northern Europe3,4. As a result of its economic significance and as a model system, BTV has been the subject of extensive molecular, genetic and structural studies, and several vaccines have been developed. However, due to the lack of proper assays for antiviral drug discovery, there are no antivirals available against BTV.
In a recent high throughput screening (HTS) campaign using BTV as the model system, we developed, optimized and validated a CPE-based assay to identify potential broad-spectrum antivirals against arboviruses5. CPE-based assay is a well-recognized assay that has been used in antiviral drug discovery against a number of viruses that induced rapid and observable CPE/apoptosis5-7. In our system, post BTV infection, CPE is evident in vertebrate cells, including HeLa, BSR, and HEK 293T8. BTV-induced CPE could be monitored and quantified using various cell viability detection methods, including the CellTiter Glo cell viability reagent kit (CTG kit)9. This kit determines the number of viable cells in culture based on quantitation of cellular ATP presented, which signals the presence of metabolically active living cells. Under optimized conditions, the CPE-based assay presented here showed its feasibility with the "mix and measure" one step protocol, and flexibility with stable luminescent signals. Meanwhile, toxic compounds reducing cell viability will be excluded in this CPE-based assay. The CPE-based assay showed its robustness and reliability for antiviral drug discovery against BTV, and has been used to screen the NIH Molecular Libraries Small Molecule Repository (MLSMR), which leads to the identification of six novel cluster of potential antiviral lead compound(s)5.
When a potential antiviral compound has been identified using the CPE-based assay, it will need to be subjected to the ten-concentration dose-response assay to determine the range of antiviral efficacy and cytotoxicity2. The antiviral efficacy, represented as the 50% inhibitory concentration (IC50) or the 50% effective concentration (EC50), is the concentration of a drug which inhibits virus-induced CPE halfway between the baseline and maximum. The cytotoxicity of the antivirals, i.e. the 50% cytotoxicity concentration (CC50), is the concentration of a drug inducing 50% of cytotoxicity between the baseline and maximum. The selective index (SI), denoted as 50% SI (SI50) is calculated from CC50/IC50 which determines the specificity of the antiviral against virus-induced CPE. The IC50 (or EC50), CC50 and SI50 values are critical measures to determine whether an antiviral compound is potent and selective for further drug development.
When an antiviral showed no overt toxicity in vitro, yet prevented virus induced CPE and the productive viral life-cycle, it is important to characterize its MoA2. We initiated such characterization by carrying out ToA assay to determine the possible step(s) of viral life-cycle that is affected by the antiviral. Generally, antiviral compound were added to cells at different times pre- or post-virus infection. If the antivirals were added to the infected cells post to its target step during the course of infection, it would result in lower activity when compared to the one which was added prior to the step. Thus, ToA study is critical for determining the antiviral efficacy of a compound, and its potential target, either on the viral life-cycle or the host machinery involved in the viral life-cycle.
For all three assays, cell viability was determined using the CTG kit following manufacturer's instruction5. This detection system outputs adequate luminescence signals that could be analyzed using various in-house software. Each assay was validated and performed at least in triplicate with eight replicas. For all the obtained data, three parameters, including mean value (AVE), standard deviation (STDEV), and co-efficient variation (CV) were analyzed to determine the robustness of the assay. Once the robustness of the assay has been determined, the data will be further analyzed and plotted using various biostatics and graphic tools2.