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1.
Chinese Pharmacological Bulletin ; (12): 1816-1822, 2022.
Article in Chinese | WPRIM | ID: wpr-1014251

ABSTRACT

Aim To evaluate the protective effect of Dexrazoxane(Dex)on onco-Cardiology caused by chemotherapeutic drugs other than anthracycline antitumor drugs using zebrafish embryos, including:cisplatin, paclitaxel, vincristine sulfate, 5-fluorouracil and cyclophosphamide. Methods Zebrafish embryos at 24 hpf(hours post-fertilization)were exposed to different concentrations of drugs. The survival rate and the overall animal morphology at 48 hpf, 72 hpf and 96 hpf were observed with a microscope. Heart rate, ventricular contraction fraction, ventricular volume, and cardiac output were measured and calculated by video recordings made with a VCD system. The protective effect of Dex was evaluated using the established model of onco-Cardiology induced by anti-tumor drugs other than anthracyclines. Results In terms of acute toxicity, cisplatin, vincristine sulfate, 5-fluorouracil and cyclophosphamide all significantly reduced the survival rate of zebrafish embryos. The LC50 value was 437.655, 25.538, 65.606 and 19.021 mmol·L-1, respectively. In addition to paclitaxel, the other four anti-tumor drugs all showed significant changes in overall animal morphology and cardiac function indicators. In the study of the protective effect of Dex on four kinds of tumor heart diseases except anthracyclines, only cisplatin had a significant protective effect, which could improve the cardiotoxicity caused by cisplatin. The optimal concentration of Dex was 80 μmol·L-1. Conclusions Zebrafish models of drug toxicity caused by cisplatin, vincristine sulfate, 5-fluorouracil, and cyclophosphamide is established, which proves that Dex only has a protective effect on the toxicity caused by cisplatin.

2.
Chinese Journal of Biotechnology ; (12): 514-519, 2007.
Article in Chinese | WPRIM | ID: wpr-327994

ABSTRACT

The principal component analysis (PCA) was applied to the data processing in training sets, the new principal components were then used as input data for support vector machine model. A prediction model for optimum pH of chitinase was established based on uniform design. When The regularized constant C, epsilon and Gamma were 10, 0.7 and 0.5 respectively, the calculated pHs fitted the reported optimum pHs of chitinase very well and the MAPEs (Mean Absolute Percent Error) was 3.76%. At the same time, the predicted pHs fitted the reported optimum pHs well and the MAE (Mean Absolute Error) was 0.42 pH unit. It was superior in fittings and predictions compared to the model based on back propagation (BP) neural network.


Subject(s)
Animals , Humans , Algorithms , Chitinases , Chemistry , Metabolism , Hydrogen-Ion Concentration , Models, Biological , Models, Statistical , Neural Networks, Computer , Principal Component Analysis
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