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Mechanism Prediction of Monotropein for the Treatment of Colorectal Cancer by Network Pharmacology Analysis
LI Chong, HOU Shao-Zhen, ZHOU Hua
2020, 3(1): 1-10. doi: 10.1016/j.dcmed.2020.03.001
[Abstract](122) [FullText HTML] (81) [PDF 8306KB](7)
ObjectiveTo discover the pharmacological mechanisms of monotropein in colorectal cancer by network pharmacology methods.MethodsThe main-candidate-target network was constructed by the prediction of targets of monotropein, collection of therapeutic targets of colorectal cancer drugs, and construction of the target network and layers of screening. The data were interpreted by pathway enrichment and target score calculation.ResultsThis study: (1) Demonstrated the potential of monotropein to be a multi-target drug against colorectal cancer using a computational approach; (2) Discovered 10 candidate targets of monotropein, among which protein kinase B (AKT1) exhibited the highest relevance and importance to colorectal cancer and proto-oncogene tyrosine-protein kinase Src (SRC), Bruton’s tyrosine kinase (BTK), and heat shock protein HSP 90-alpha (HSP90AA1) also exhibited high relevance; (3) Observed 32 possible pathways related to the effects of monotropein on colorectal cancer, which might explain the mechanism of its action; and (4) Established a method to assess the importance of targets in the network.ConclusionsThis study offered clues for the mechanism of the bioactivities of monotropein against colorectal cancer by network analysis. Monotropein has the potential to be a multi-target drug against colorectal cancer, which lays the foundation for its clinical applications and further study.
SZZYY2020-1 Contents
2020, 3(1): 1-3.
[Abstract](82) [FullText HTML] (66) [PDF 123KB](0)
Research on the Correlation Between Physical Examination Indexes and TCM Constitutions Using the RBF Neural Network
LUO Yue, LIU Yu-Nan, LIN Bing, WEN Chuan-Biao
2020, 3(1): 11-19. doi: 10.1016/j.dcmed.2020.03.002
[Abstract](104) [FullText HTML] (68) [PDF 876KB](4)
ObjectiveTo establish correlation models between various physical examination indexes and traditional Chinese medicine (TCM) constitutions, and explore their relationships based on the radial basis function (RBF) neural network.MethodsThe raw data of physical examination indexes and TMC constitutions of 650 subjects who underwent a physical examination were cleaned, classified and sorted, on the basis of which valid data were retrieved and categorized into a training dataset and a test dataset. Subsequently, the RBF neural network was applied to the valid samples in the training set to establish correlation models between various physical examination indexes and TCM constitutions. The accuracy and the error margin of the correlation model were then verified using the valid samples in the test set.ResultsOf all selected samples, the highest accuracy rates were 80% for the blood lipid index - TCM constitution model; 100% for the renal function index - TCM constitution model; 100% for the blood routine (male) index - TCM constitution model; 88.8% for the blood routine (female) index - TCM constitution model; 84.1% for the urine routine index - TCM constitution model; and 100% for the blood transfusion index - TCM constitution model.ConclusionsThe samples selected in this study suggested that there is a strong correlation between physical examination indexes and TCM constitutions, making it feasible to apply the established correlation models to TCM constitution identification.
Regularity of Wind-dispelling Medication Prescribed by LI Dong-Yuan: A Data Mining Technology-based Study
WANG Zhao-Yi, HUANG Zheng-De, YANG Ping, REN Ting, LI Xin-Hui
2020, 3(1): 20-33. doi: 10.1016/j.dcmed.2020.03.003
[Abstract](100) [FullText HTML] (62) [PDF 744KB](1)
ObjectiveTo extract and analyze information on the regularity with which wind-dispelling medication was prescribed by LI Dong-Yuan and many doctors of his school of thought and to provide theoretical basis and ideas for modern clinical application to facilitate the use, research, and development of these medications.MethodsOriginal data on wind-dispelling medication described in LI Dong-Yuan’s works were collected, sorted and organized. Data mining and comprehensive analysis were performed by using a series of data processing softwares, such as SPSS 22.0, Modeler 18.0 and xMiner. By reviewing LI Dong-Yuan's writings on wind-dispelling medication, the number of prescriptions for wind-dispelling medication were counted. Frequency of use of wind-dispelling medication was determined, and association rules analysis, factor analysis, and core drug network analysis were used to reveal associations of the symptoms of syndromes and treatment with wind-dispelling medication and to reveal the regularity with which these medications were prescribed by LI Dong-Yuan.ResultsA total of 356 prescriptions and 121 flavors of wind-dispelling medication were observed. Among them, five kinds of medicinal properties, seven kinds of medicinal tastes, and 12 kinds of meridians were identified. Furthermore, herbs were divided into 18 categories according to their efficacy. Statistical analysis showed that there were 23 wind-dispelling medications that were prescribed with a frequency of ≥ 60. The mainly used drugs were Saposhnikoviae Radix (Fang Feng, 防风), Bupleuri Radix (Chai Hu, 柴胡), Cimicifugae Rhizoma (Sheng Ma, 升麻), Notopterygii Rhizoma Et Radix (Qiang Huo, 羌活), Puerariae Lobatae Radix (Ge Gen, 葛根), Chuanxiong Rhizoma (Chuan Xiong, 川芎), and Ephedrae Herba (Ma Huang, 麻黄). In addition, we analyzed the association rules wind-dispelling medication and obtained 23 one-to-one drug association rules and 11 multiple-to-one drug association rules. The core drug network analysis data visualization showed core drugs used in the treatment of external wind assailing the exterior (wind-cold, wind-heat, wind-dampness, etc.), wind-stroke, and tonifying middle and replenishing Qi. Factor analysis was performed on the drugs used by LI Dong-Yuan, and finally 4 groups of wind medicine combinations were obtained.ConclusionsThis data mining-based study on the regularity of wind-dispelling medication described in LI Dong-Yuan's works is of great significance, because it reveals the clinical application of its theoretical formulae and medications.
Effect of Electroacupuncture on Platelet-derived Growth Factor and the Ultrastructure of Mitochondria in Rats with Diabetic Gastroparesis
WEI Xing, PENG Yan, ZHAO Dong-Feng, XIAO Xiao-Juan, LIN Ya-Ping
2020, 3(1): 34-43. doi: 10.1016/j.dcmed.2020.03.004
[Abstract](113) [FullText HTML] (37) [PDF 820KB](4)
ObjectiveTo observe the effect of electroacupuncture (EA) at the pressure points Zu San Li (ST36), San Yin Jiao (SP6) and Liang Men (ST21) on platelet-derived growth factor (PDGF) and the ultrastructure of mitochondria in rats with diabetic gastroparesis (DGP).MethodsSixty Sprague Dawley (SD) rats were randomly separated into a normal control group (NC, n = 10) and a modeling group (n = 50). Rats in the modeling group received an injection of 2% streptozotocin (STZ) and a high-fat and high-glucose diet for eight weeks to establish a DGP rat model. At the same time, blood glucose and a general symptom score were recorded every week. After modeling, 30 successfully modeled rats were randomly separated into the following groups: the DGP group (n = 10), the EA group (n = 10) and the metoclopramide (MP) group (n = 10). After three weeks of intervention, the gastrointestinal propulsive rate was measured by measuring the optical density (OD). The concentration of Ca2+ was determined by fluorescence immunoassay, and levels of serum insulin (INS) and PDGF were determined by ELISA. The ultrastructure of mitochondria was observed with transmission electron microscopy.Results(1) After intervention, levels of blood glucose and the general symptom score were greatly decreased in the EA group compared to the DGP group (P < 0.01). Compared with the DGP group, the gastric emptying rate and the intestinal propulsive rate of the EA group was significantly improved (P < 0.01), and there was no statistically significant difference between the EA and the NC groups. (2) Compared with the NC group, the levels of INS in the DGP group markedly decreased (P < 0.05), but there was no significant difference of INS levels between the EA and the MP groups. (3) Compared with the DGP group, the concentration of Ca2+ in the EA and the MP groups significantly increased (P < 0.01, P < 0.05, respectively). (4) Compared with the NC group, the average OD of PDGF in the DGP group was significantly higher (P < 0.01). Compared with the DGP group, levels of PDGF in the EA group increased significantly (P < 0.01). (5) There were abundant mitochondria with a clear structure and complete cristae in the NC group. However, in the DGP group, mitochondria were severely swollen, partly vacuolated, and cristae were either fractured, absent, or shortened. In the EA group, mitochondria were slightly swollen, with clear cristae.ConclusionsElectroacupuncture at the points Zu San Li (ST36), San Yin Jiao (SP6) and Liang Men (ST21) may improve gastric motility in DGP by up-regulating the amount of PDGF and improving the ultrastructure of mitochondria.
Clinical Intelligent Diagnosis Path Based on the Chief Complaint
ZHOU Xiao-Qing, TONG Tian-Hao, ZENG Yi-Di, ZHONG Lu
2020, 3(1): 44-49. doi: 10.1016/j.dcmed.2020.03.005
[Abstract](109) [FullText HTML] (33) [PDF 456KB](0)
Goals of traditional Chinese medicine (TCM) include precision, accuracy, and recognition by clinical practice. Establishment of a diagnosis and treatment system that closely conforms to the principle-method-recipe-medicines system and derivation of an accurate diagnosis and treatment plan should be considerations of TCM. Artificial intelligence research based on computer technology is one of the effective ways to solve this problem. In the research of intelligent diagnosis path, reflecting the characteristics of the overall view and dialectical treatment of TCM such as “Combination of four diagnostic methods” “overall examination” “combination of disease and syndrome” and “treatment individualized to patient, season and locality” are key for successful research of artificial intelligence in TCM diagnosis or recognition by clinical practice.
Discussion on Etiology and Pathogenesis of Corona Virus Disease 2019 from “Cold-dampness and Insidious Dryness”
LU Fang-Guo, WU TAO, XIAO Wen-Ming, WANG Ping, ZHAO Cheng
2020, 3(1): 50-54. doi: 10.1016/j.dcmed.2020.03.006
[Abstract](130) [FullText HTML] (32) [PDF 438KB](0)
Based on the characteristics of the epidemic situation and the authors’ understanding of the related ancient books and documents, this paper explores the etiology and pathogenesis of Corona Virus Disease 2019 (COVID-19) from 5 aspects: abnormal climate in “warm winter”, unique geographical location, pathogenesis evolution of cold and dampness mixed with insidious dryness, transmission and change of “triple energizer” of toxic pathogens, and game between healthy Qi and toxic pathogens. Combined with the special treatment of traditional Chinese medicine (TCM), the purpose is to make a modest contribution to curbing the epidemic situation with TCM.
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2020, 3(1): 55-56.
[Abstract](45) [FullText HTML] (34) [PDF 143KB](1)