ABSTRACT
BACKGROUND: Aromatic amines, often used as intermediates for pharmaceutical synthesis, may be mutagenic and therefore pose a challenge as metabolites or impurities in drug development. However, predicting the mutagenicity of aromatic amines using commercially available, quantitative structure-activity relationship (QSAR) tools is difficult and often requires expert review. In this study, we developed a shareable QSAR tool based on nitrenium ion stability. RESULTS: The evaluation using in-house aromatic amine intermediates revealed that our model has prediction accuracy of aromatic amine mutagenicity comparable to that of commercial QSAR tools. The effect of changing the number and position of substituents on the mutagenicity of aromatic amines was successfully explained by the change in the nitrenium ion stability. Furthermore, case studies showed that our QSAR tool can support the expert review with quantitative indicators. CONCLUSIONS: This local QSAR tool will be useful as a quantitative support tool to explain the substituent effects on the mutagenicity of primary aromatic amines. By further refinement through method sharing and standardization, our tool can support the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) M7 expert review with quantitative indicators.
ABSTRACT
Because broad genetic diversity has recently been detected in Torque teno sus viruses (TTSuV1 and TTSuVk2), the viral genome detection method needs to be improved to understand the prevalence of these viruses. Here, we established single PCR-based detection methods for the TTSuV1 and TTSuVk2a genomes with newly designed primer pairs and applied them to investigate the prevalence of TTSuV1 and TTSuVk2a in Japanese pig populations. The results revealed that 98.2% and 81.7% of the pig farms tested positive for the TTSuV1 and TTSuVk2a genomes, respectively, indicating that both TTSuV1 and TTSuVk2a are widespread in Japan.
