Abstract Purpose: To evaluate the toxicity of Erbitux as well as its biosimilar APZ001 antibody (APZ001) in pre-clinical animal models including mice, rabbits and cynomolgus monkeys. Methods: We performed analysis of normal behavior activity, autonomic and non-autonomic nervous functions, nervous-muscle functions, nervous excitability and sensorimotor functions on CD-1 mice. Subsequently, we studied that effects of APZ001 and Erbitux on respiratory system, cardiovascular system and kidney in Cynomolgus monkey models and performed local tolerance experiments on New Zealand rabbits. Results: The comparisons between APZ001 and Erbitux showed no significant differences in mice autonomic nervous system, nervous muscle functions, non-autonomic nervous functions, nervous excitability and sensorimotor functions between treated and untreated group (p>0.05). APZ001 and Erbitux showed negative effect on CD-1 mice in the present of pentobarbital sodium anesthesia (p>0.05). Single administrations of high, medium or low doses of APZ001 did not lead to monkey urine volume alterations (p>0.05). In human tissues, APZ001 and Erbitux showed positive signals in endocardium, lung type II alveolar epithelial cell and surrounding vessels, but showed negative results in kidney and liver tissues. No hemolysis phenomenon and serious side-effects in vessels and muscles were observed in rabbits when administrated with APZ001 and Erbitux respectively. Conclusion: The safety comparisons between APZ001 antibody and Erbitux showed that these two antibodies showed highly similarities in mice, rabbits and cynomolgus monkey animal models in consideration of pharmaceutical effects, indicating APZ001 might be a suitable substitute for Erbitux.

The quantitative structure property relationship (QSPR) for the boiling point (Tb) of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) was investigated. The molecular distance-edge vector (MDEV) index was used as the structural descriptor. The quantitative relationship between the MDEV index and Tb was modeled by using multivariate linear regression (MLR) and artificial neural network (ANN), respectively. Leave-one-out cross validation and external validation were carried out to assess the prediction performance of the models developed. For the MLR method, the prediction root mean square relative error (RMSRE) of leave-one-out cross validation and external validation was 1.77 and 1.23, respectively. For the ANN method, the prediction RMSRE of leave-one-out cross validation and external validation was 1.65 and 1.16, respectively. A quantitative relationship between the MDEV index and Tb of PCDD/Fs was demonstrated. Both MLR and ANN are practicable for modeling this relationship. The MLR model and ANN model developed can be used to predict the Tb of PCDD/Fs. Thus, the Tb of each PCDD/F was predicted by the developed models.

The application of automated correlation optimized warping (ACOW) to the correction of retention time shift in the chromatographic fingerprints of Radix Puerariae thomsonii (RPT) was investigated. Twenty-seven samples were extracted from 9 batches of RPT products. The fingerprints of the 27 samples were established by the HPLC method. Because there is a retention time shift in the established fingerprints, the quality of these samples cannot be correctly evaluated by using similarity estimation and principal component analysis (PCA). Thus, the ACOW method was used to align these fingerprints. In the ACOW procedure, the warping parameters, which have a significant influence on the alignment result, were optimized by an automated algorithm. After correcting the retention time shift, the quality of these RPT samples was correctly evaluated by similarity estimation and PCA. It is demonstrated that ACOW is a practical method for aligning the chromatographic fingerprints of RPT. The combination of ACOW, similarity estimation, and PCA is shown to be a promising method for evaluating the quality of Traditional Chinese Medicine.