ABSTRACT
A high-throughput screening machine learning model for mitochondrial function was constructed, and compounds of Aco-niti Lateralis Radix Praeparata were predicted. Deoxyaconitine with the highest score and benzoylmesaconine with the lowest score among the compounds screened by the model were selected for mitochondrial mechanism analysis. Mitochondrial function data were collected from PubChem and Tox21 databases. Random forest and gradient boosted decision tree algorithms were separately used for mo-deling, and ECFP4(extended connectivity fingerprint, up to four bonds) and Mordred descriptors were employed for training, respectively. Cross-validation test was carried out, and balanced accuracy(BA) and overall accuracy were determined to evaluate the performance of different combinations of models and obtain the optimal algorithm and hyperparameters for modeling. The data of Aconiti Lateralis Radix Praeparata compounds in TCMSP database were collected, and after prediction and screening by the constructed high-throughput screening machine learning model, deoxyaconitine and benzoylmesaconine were selected to measure mitochondrial membrane potential, reactive oxygen species(ROS) level and protein expression of B-cell lymphoma 2(Bcl-2), Bcl-2-associated X protein(Bax) and peroxisome proliferator-activated receptor-γ-coactivator 1α(PGC-1α). The results showed that the model constructed using gradient boosted decision tree+Mordred algorithm performed better, with a cross-validation BA of 0.825 and a test set accuracy of 0.811. Deoxyaconitine and benzoylmesaconine changed the ROS level(P<0.001), mitochondrial membrane potential(P<0.001), and protein expression of Bcl-2(P<0.001, P<0.01) and Bax(P<0.001), and deoxyaconitine increased the expression of PGC-1α protein(P<0.01). The high-throughput screening model for mitochondrial function constructed by gradient boosted decision tree+Mordred algorithm was more accurate than that by random forest+ECFP4 algorithm, which could be used to build an algorithm model for subsequent research. Deoxyaconitine and benzoylmesaconine affected mitochondrial function. However, deoxyaconitine with higher score also affected mitochondrial biosynthesis by regulating PGC-1α protein.
Subject(s)
Aconitum/chemistry , Algorithms , Drugs, Chinese Herbal/chemistry , High-Throughput Screening Assays , Machine Learning , Mitochondria , Reactive Oxygen Species , bcl-2-Associated X ProteinABSTRACT
Objective:Based on the previous studies, to investigate the dissolution behavior of Fuzi Lizhongwan by simultaneously determining the dissolution of benzoylmesaconine, benzoylaconine and benzoylhypaconine in Aconiti Lateralis Radix Praeparata. Method:The simultaneous determination of benzoylmesaconine, benzoylaconine and benzoylhypaconine in Fuzi Lizhongwan was established by HPLC-QQQ-MS. The dissolution amounts of three compositions in 15 batches of Fuzi Lizhongwan from 5 manufacturers at different time points, the cumulative dissolution was calculated and the dissolution curve was drawn. The f2 similarity factor method was adopted to evaluate similarity of dissolution curves of index components in different batches of samples from the same manufacturer, and to evaluate similarity of dissolution curves of samples from different manufacturers based on the same index component. The dissolution model of Fuzi Lizhongwan was concluded by fitting with the dissolution data. Result:When hydrochloric acid solution with pH of 1.2 was used as the dissolution medium, the three alkaloids had the best dissolution effect. The dissolution behavior of three monoester alkaloids in Fuzi Lizhongwan was basically synchronous and the dissolution lasted for 24 h. Three batches of samples from the same manufacturer (manufacturer 1, 3, 4 and 5) appeared to be similar on dissolution behavior, indicating that the dissolution behavior of the majority of samples from different manufacturers was similar. The dissolution behavior of batch 1 sample was different from batch 2 and 3 samples in manufacturer 2, suggesting that the quality of different batches of samples in manufacturer 2 might be different. The fitting results of dissolution data of index components in samples from different manufacturers were consistent, and the Weibull model was the best. Conclusion:Index components in fifteen batches of samples from 5 manufacturers are continuously dissolved within 24 h, indicating that the samples have the characteristics of slow dissolution. The dissolution curves of samples from the same manufacturer are similar to each other, indicating that the quality of different batches of products from most manufacturers is stable. The dissolution behavior of benzoylmesaconine, benzoylaconine and benzoylhypaconine in samples form different manufacturers has some differences, which may be caused by the source of medicinal materials and preparation technology parameters.
ABSTRACT
Objective To establish an HPLC method for the simultaneous determination of the 6 aconitum alkaloids in compoundTengwu Ointment.Methods Chromatographic column was Aglient XDB-C18 column (4.6 mm × 250 mm, 5μm), with the mobile phase A of acetonitrile- tetrahydrofuran (25∶8), phase B was 0.1 mol/L ammonium acetate solution (0.5 mL acetic acid added to the 1000 mL) with gradient elution;the flow rate was 1 mL/min;the detection wavelength was set at 235 nm;the column temperature was 25℃.Results Aconitine was in the good linear range of 0.072-0.648μg (r=0.999 5), with the average recovery of 99.29%, RSD=1.25%. Mesaconitine was in the good linear range of 0.062-0.648μg (r=0.999 5), with the average recovery of 99.12%, RSD=0.85%. Hypaconitine was in the good linear range of 0.064-0.384μg (r=0.999 8), with the average recovery of 99.57%, RSD=1.07%. Benzoylaconine was in the good linear range of 0.056-0.672μg (r=0.999 2), with the average recovery of 98.11%, RSD=0.61%. Benzoylmesaconine was in the good linear range of 0.055-0.993μg (r=0.999 9), with the average recovery of 99.27%, RSD=1.10%. Benzoylhypaconine was in the good linear range of 0.078-0.702μg (r=0.999 8), with the average recovery of 99.08%, RSD=1.38%.Conclusion This method is simple, sensitive, repeatable and accurate, which can be used for determination of aconitum alkaloids in compoundTengwu Ointment.