1.Analysis of the changes in the chemical components in Fructus Trichosanthes, before and after the processing of steaming,based on the PCA and PLS-DA algorithms
Chun-Cai ZOU ; Qian-Ni ZONG ; Hai-Yan YAN
Journal of International Pharmaceutical Research 2017;44(10):984-987
Objective To analyze the changes in the chemical components in Fructus Trichosanthes before and after the pro?cessing of steaming,so as to explore the material basis of the pharmacodynamic changes between Trichosanthes and steamed Tricho-santhes.Methods The peaks matching data of Fructus Trichosanthes and steamed Fructus Trichosanthes were obtained by using the similarity evaluation system for chromatographic fingerprints of traditional Chinese materia medica.The principal component analysis (PCA)model and the partial least squares discriminant analysis(PLS-DA)model for the analysis of the Fructus Trichosanthes and steamed Fructus Trichosanthes data were established using the SIMCA-P 11 statistical software for PCA and PLS-DA,from which the score chart,load chart and Variable Importance(VIP)value were obtained,so as to identify the main different components in Fructus Trichosanthes and steamed Fructus Trichosanthes.Results The PCA(R2X=0.96,Q2=0.552)model and PLS-DA(R2Y=0.917,Q2=0.579)model were established,and 8 chromatographic peaks with significant difference in peak area were selected.Among them,two of the chromatographic peaks were assigned to be 5-hydroxy methyl furfural and vanilla acid,and 5-hydroxy methyl furfural had the largest VIP value.In addition,an unknown component was also found in the steamed Fructus Trichosanthes,which was generated in the process of steaming and needed to be identified in future studies.Conclusion The content of some chemical components in Fruc?tus Trichosanthes were changed after the process of steaming,and the processing of steaming also caused the formation of an unknown chemical component.5-Hydroxy methyl furfural and vanillic acid seem to be a likely choice for exploring the material basis of the phar?macodynamic changes in Fructus Trichosanthes after the processing of steaming.
2.Based on infrared spectrum to study the changes in the intrinsic chemicalcomponents in Trichosanthes before and after steaming
Hai-Yan YAN ; Qian-Ni ZONG ; Chun-Cai ZOU
Journal of International Pharmaceutical Research 2017;44(9):905-908
Objective To analyze the change in infrared(IR)spectral information and to screen out the classification of major compounds affecting information difference in IR spectra of Trichosanthes before and after steaming. Methods The similarity between the original IR fingerprint and the first derivative IR fingerprint of Trichosanthes and their steamed products was calculated by using the Computer Aided Similarity Evaluation System. The principal component analysis(PCA)model and the partial least squares dis-criminant analysis(PLS-DA)model of IR spectral data of Trichosanthes before and after steaming were established by using SIMCA-P 11 statistical software for PCA and PLS-DA,and the classification of major compounds affecting information difference in IR spectra of Trichosanthes before and after steaming was selected by 3D scatter plot,load 3D scatter plot and variable important in project(VIP) value. Results The similarity between the original IR fingerprint and first derivative IR fingerprint of Trichosanthes and their steamed products were 0.9165 and 0.2832. Seven VIP>1 spectral peaks were screened out by using SIMCA-P 11 statistical software,of which,the absorption peak of 1456 cm-1 was νc=c,the absorption peak of 1726 cm-1 was νc=o and the VIP values were 1.6290 and 1.4256 respectively. Conclusion The categories of compounds of Trichosanthes before and after steaming did not change,but the chemical components changed. Compounds of Trichosanthes before and after steaming affect the difference in IR spectral information may mainly contain C=C-C=C or C=O or both of them.
3.Spectrum-activity relationship of trichosanthis fructus and trichosanthis fructus strip pieces for rat myocardial ischemia-reperfusion injury.
Chun-Cai ZOU ; Qian-Ni ZONG ; Hai-Yan YAN
China Journal of Chinese Materia Medica 2018;43(1):92-99
To investigate the spectrum-activity relationship of Trichosanthis Fructus and Trichosanthis Fructus strip pieces for rat myocardial ischemia-reperfusion injury. HPLC fingerprints of Trichosanthis Fructus and Trichosanthis Fructus strip pieces were established, and the values of creatinekinase-MB (CK-MB), myoglobin (MYO) and cardiac troponin-T (cTNT) in 3 dose groups (2.25, 13.5, 27.0 g·kg⁻¹, equivalent to the crude herb g·kg⁻¹) of Trichosanthis Fructus and Trichosanthis Fructus strip pieces with myocardial ischemia-reperfusion injury in rats were measured, and the grey relational analysis was used to study the spectrum-activity relationship of Trichosanthis Fructus and Trichosanthis Fructus strip pieces for rat myocardial ischemia-reperfusion injury. With the dosage increase from 2.25 g·kg⁻¹ to 27.0 g·kg⁻¹, the correlation degree of spectrum-activity relationship of Trichosanthis Fructus and Trichosanthis Fructus strip pieces was also enhanced, but the change trend was different between these two groups. According to the frequency of the top 10 peaks in the correlation degree, peak 17, 14, 16, 19, 32, 12, 26, 30, 4, 6 and 2 were the basic effective substances group of Trichosanthis Fructus, peak 6,14,12,32,30,4 and 6 were the basic effective substances group of Trichosanthis Fructus strip pieces. Peak 6, 14, 12, 32, 30, 4 and 26 in fingerprints of Trichosanthis Fructus and Trichosanthis Fructus strip pieces were the main common pharmacodynamic substance base, among them, peak 6 was 5-hydroxymethyl furfural, peak 14 was vanillic acid and the peak 28 was rutin, but the correlation degree with the efficacy was different. The effect of Trichosanthis Fructus and Trichosanthis Fructus strip pieces on rat myocardial ischemia-reperfusion injury was due to the synergistic effect of the effective substance groups related to the dosage. The essential pharmacodynamic substance groups of Trichosanthis Fructus and Trichosanthis Fructus strip pieces were different, but they shared a common active ingredient group.
Animals
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Chromatography, High Pressure Liquid
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Creatine Kinase, MB Form
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blood
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Cucurbitaceae
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chemistry
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Drugs, Chinese Herbal
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pharmacology
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Fruit
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chemistry
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Myocardial Reperfusion Injury
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drug therapy
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Myoglobin
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blood
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Rats
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Troponin T
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blood
4.Clustering analysis of risk factors in high-incidence areas of esophageal cancer in Yanting county
Ruiwu LUO ; Heng HUANG ; Hao CHENG ; Siyu NI ; Siyi FU ; Qinchun QIAN ; Junjie YANG ; Xinlong CHEN ; Hanyu HUANG ; Zhengdong ZONG ; Yujuan ZHAO ; Yuhe QIN ; Chengcheng HE ; Ye WU ; Hongying WEN ; Dong TIAN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2024;31(03):385-391
Objective To investigate the dietary patterns of rural residents in the high-incidence areas of esophageal cancer (EC), and to explore the clustering and influencing factors of risk factors associated with high-incidence characteristics. Methods A special structured questionnaire was applied to conduct a face-to-face survey on the dietary patterns of rural residents in Yanting county of Sichuan Province from July to August 2021. Univariate and multivariate logistic regression models were used to analyze the influencing factors of risk factor clustering for EC. Results There were 838 valid questionnaires in this study. A total of 90.8% of rural residents used clean water such as tap water. In the past one year, the people who ate fruits and vegetables, soybean products, onions and garlic in high frequency accounted for 69.5%, 32.8% and 74.5%, respectively; the people who ate kimchi, pickled vegetables, sauerkraut, barbecue, hot food and mildew food in low frequency accounted for 59.2%, 79.6%, 68.2%, 90.3%, 80.9% and 90.3%, respectively. The clustering of risk factors for EC was found in 73.3% of residents, and the aggregation of two risk factors was the most common mode (28.2%), among which tumor history and preserved food was the main clustering pattern (4.6%). The logistic regression model revealed that the gender, age, marital status and occupation were independent influencing factors for the risk factors clustering of EC (P<0.05). Conclusion A majority of rural residents in high-incidence areas of EC in Yanting county have good eating habits, but the clustering of some risk factors is still at a high level. Gender, age, marital status, and occupation are influencing factors of the risk factors clustering of EC.