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Article: Pharmacological Mechanisms of Tinglizi against Chronic Heart Failure Determined by Network Pharmacology and Molecular Docking.

Luo, Liangtao / Wang, Haowen / Huang, Guowei / Zhang, Lu / Li, Xiuwei / Ma, Chongyang / Wang, Xing

Evidence-based complementary and alternative medicine : eCAM

2022 Volume 2022, Page(s) 2152399

Abstract: Objective: Tinglizi has been extensively used to treat chronic heart failure (CHF) in modern times, but the material basis and pharmacological mechanisms are still unclear. To explore the material basis and corresponding potential targets and to ... ...

Abstract	Objective: Tinglizi has been extensively used to treat chronic heart failure (CHF) in modern times, but the material basis and pharmacological mechanisms are still unclear. To explore the material basis and corresponding potential targets and to elucidate the mechanism of Tinglizi, network pharmacology and molecular docking methods were utilized. Methods: The main chemical compounds and potential targets of Tinglizi were collected from the pharmacological database analysis platform (TCMSP). The corresponding genes of related action targets were queried through gene cards and UniProt database. The corresponding genes of CHF-related targets were searched through Disgenet database, and the intersection targets were obtained by drawing Venn map with the target genes related to pharmacodynamic components. Then, drug targets and disease targets were intersected and put into STRING database to establish a protein interaction network. The "active ingredient-CHF target" network was constructed with Cytoscape 3.8.2. Finally, Gene Ontology (GO) Enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of intersection targets were analyzed using metascape. With the aid of SYBYL software, the key active ingredients and core targets were docked at molecular level, and the results were visualized by PyMOL software. Molecular docking was carried out to investigate interactions between active compounds and potential targets. Results: A total of 12 active components in Tinglizi were chosen from the TCMSP database, and 193 corresponding targets were predicted. Twenty-nine potential targets of Tinglizi on CHF were obtained, of which nine were the core targets of this study. Twenty GO items were obtained by GO function enrichment analysis ( Conclusion: Through network pharmacology and molecular docking technology, we found that the main components of Tinglizi in the treatment of CHF are quercetin, kaempferol,
Language	English
Publishing date	2022-01-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	2171158-6
ISSN	1741-4288 ; 1741-427X
ISSN (online)	1741-4288
ISSN	1741-427X
DOI	10.1155/2022/2152399
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Identification of the potential crucial genes in invasive ductal carcinoma using bioinformatics analysis.

Li, Chunguang / Luo, Liangtao / Wei, Sheng / Wang, Xiongbiao

Oncotarget

2017 Volume 9, Issue 6, Page(s) 6800–6813

Abstract: Invasive ductal carcinoma (IDC) is a common histological type of breast cancer. The aim of this study was to identify the potential crucial genes associated with IDC and to provide valid biological information for further investigations. The gene ... ...

Abstract	Invasive ductal carcinoma (IDC) is a common histological type of breast cancer. The aim of this study was to identify the potential crucial genes associated with IDC and to provide valid biological information for further investigations. The gene expression profiles of GSE10780 which contained 42 histologically normal breast tissues and 143 IDC tissues were downloaded from the GEO database. Functional and pathway enrichment analysis of differentially expressed genes (DEGs) were performed and protein-protein interaction (PPI) network was analyzed using Cytoscape. In total, 999 DEGs were identified, including 667 up-regulated and 332 down-regulated DEGs. Gene ontology analysis demonstrated that most DEGs were significantly enriched in mitotic cell cycle, adhesion and protein binding process. Through PPI network analysis, a significant module was screened out, and the top 10 hub genes, CDK1, CCNB1, CENPE, CENPA, PLK1, CDC20, MAD2L1, HIST1H2BK, KIF2C and CCNA2 were identified from the PPI network. The expression levels of the 10 genes were validated in Oncomine database. KIF2C, MAD2L1 and PLK1 were associated with the overall survival. And we used cBioPortal to explore the genetic alterations of hub genes and potential drugs. In conclusion, the present study identified DEGs between normal and IDC samples, which could improve our understanding of the molecular mechanisms in the development of IDC, and these candidate genes might be used as therapeutic targets for IDC.
Language	English
Publishing date	2017-12-13
Publishing country	United States
Document type	Journal Article
ZDB-ID	2560162-3
ISSN	1949-2553 ; 1949-2553
ISSN (online)	1949-2553
ISSN	1949-2553
DOI	10.18632/oncotarget.23239
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Study on the Differences between Traditional Chinese Medicine Syndromes in NYHA I-IV Classification of Chronic Heart Failure.

Shi, Jun / Luo, Liangtao / Chen, Jing / Wang, Juan / Zhao, Huihui / Wang, Wei

Evidence-based complementary and alternative medicine : eCAM

2019 Volume 2019, Page(s) 2543413

Abstract: Objectives: This study investigated the distribution of characteristics of traditional Chinese medicine syndromes and their association with symptoms in 1027 patients with chronic heart failure (CHF).: Methods: An observational study was performed by ...

Abstract	Objectives: This study investigated the distribution of characteristics of traditional Chinese medicine syndromes and their association with symptoms in 1027 patients with chronic heart failure (CHF). Methods: An observational study was performed by researchers, collecting data from 1036 patients with CHF from 24 Chinese medicine hospitals from May 2009 to December 2014. Due to incomplete information from nine patients, 1027 patients with CHF were analysed. The distribution of syndromes in CHF and association between high-frequency syndromes and symptoms were investigated. Results: The primary syndromes were qi deficiency, blood stasis, fluid retention, yin deficiency, phlegm turbidity, and yang deficiency. The primary sites of disease were the heart, kidney, lung, and spleen. In patients with CHF of differing cardiac function, there was no significant difference in the frequency of yin deficiency (P>0.05). The distribution of yang deficiency was significantly different between New York Heat Association (NYHA) classes II, III, and IV and between classes I+II and III+IV (P<0.05). The frequency of phlegm turbidity was significantly different between NYHA classes II and III, between classes III and IV, and between classes I+II and III+IV (P<0.05). The frequency of fluid retention was significantly different between NYHA classes I and IV, between classes II, III, and IV, and between classes I+II and III+IV (P<0.05). Regarding associations between syndromes and symptoms, qi deficiency was diagnosed in 87.43% of patients with insomnia and spiritlessness; blood stasis in 84.85% of patients with spontaneous sweating + cyanosis of the lips; fluid retention in 75% of patients with a hard pulse and oedema; and yin deficiency in 72.92% of patients with feverish sensation in the chest, palms, and soles and spontaneous sweating. Conclusions: The frequency of yang deficiency and fluid retention was higher and that of phlegm turbidity was lower in classes III and IV than in classes I and II.
Language	English
Publishing date	2019-02-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	2171158-6
ISSN	1741-4288 ; 1741-427X
ISSN (online)	1741-4288
ISSN	1741-427X
DOI	10.1155/2019/2543413
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Article: Chinese Herbal Medicine in the Treatment of Chronic Heart Failure: Three-Stage Study Protocol for a Randomized Controlled Trial.

Luo, Liangtao / Chen, Jianxin / Guo, Shuzhen / Wang, Juan / Gao, Kuo / Zhang, Peng / Chen, Chan / Zhao, Huihui / Wang, Wei

Evidence-based complementary and alternative medicine : eCAM

2015 Volume 2015, Page(s) 927160

Abstract: Background. Chinese herbal medicine (CHM) has been used in the treatment of chronic heart failure (CHF) for a long time. Treatment based on syndrome differentiation and the main characteristic of TCM is the fundamental principle of TCM practice. In this ... ...

Abstract	Background. Chinese herbal medicine (CHM) has been used in the treatment of chronic heart failure (CHF) for a long time. Treatment based on syndrome differentiation and the main characteristic of TCM is the fundamental principle of TCM practice. In this study protocol, we have designed a trial to assess the efficacy and safety of CHM on CHF based on syndrome differentiation. Methods/Design. This is a three-stage trial of CHM in the treatment of CHF. The first stage is a literature review aiming to explore the common syndromes of CHF. The second is a multicentral, randomized, placebo-controlled trial to evaluate the efficacy and safety of CHM for the treatment of CHF. The third is a multicentral, randomized controlled clinical trial aiming to make cost-effectiveness analysis and evaluate the feasibility, compliance, and universality of CHM on CHF. Discussion. This trial will evaluate the efficacy, safety, feasibility, compliance, and universality of CHM on CHF. The expected outcome is to provide evidence-based recommendations for CHM on CHF and develop a prescription of CHM in the treatment of CHF. This trial is registered with NCT01939236 (Stage Two of the whole trial).
Language	English
Publishing date	2015-05-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	2171158-6
ISSN	1741-4288 ; 1741-427X
ISSN (online)	1741-4288
ISSN	1741-427X
DOI	10.1155/2015/927160
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Article: Plasma metabolomics combined with personalized diagnosis guided by Chinese medicine reveals subtypes of chronic heart failure

Wang, Juan / Guo, Shuzhen / Gao, Kuo / Shi, Qi / Fu, Bangze / Chen, Chan / Luo, Liangtao / Deng, Dong / Zhao, Huihui / Wang, Wei

Beijing University of Chinese Medicine Journal of traditional Chinese medical sciences. 2015 Apr., v. 2, no. 2

2015

Abstract: Chronic heart failure (CHF) is characterized by insufficient blood supply from heart to meet the body's metabolic demands. Integrating Western and traditional Chinese medicine to treat CHF has proved a validated therapeutic approach. In recent years, ... ...

Abstract	Chronic heart failure (CHF) is characterized by insufficient blood supply from heart to meet the body's metabolic demands. Integrating Western and traditional Chinese medicine to treat CHF has proved a validated therapeutic approach. In recent years, metabolomics has been regarded as a potential platform to provide biomarkers for disease-subtypes.To examine 38 patients, combined NMR plasma metabolomics and traditional Chinese medicine diagnosis in order to identify diagnostic biomarkers for two CHF syndrome subtypes.After processing the spectra, orthogonal partial least square discriminant analysis was performed, and the contributing NMR signals were analyzed using Y-scrambling statistical validation with good reliability.Plasma metabolic patterns of yin deficiency and yang deficiency patients were clearly discriminated. The yin-deficiency group had increased level of lactate, glycoprotein, lipoprotein and lower levels of glucose, valine and proline. The yang-deficiency group had higher levels of lactate, glycoprotein and pyruvic acid, and lower levels of glucose and lipoprotein. Potential biomarkers of CHF based on the two traditional Chinese medicine syndromes indicated alternative modes of metabolites and metabolic pathways in the disease, e.g. dysfunction of energy utilization and disturbance in fatty acids, amino acids.This study suggests that combining metabolomics with traditional Chinese medicine diagnosis can reveal metabolic signatures for CHF syndrome subtypes. The plasma metabolites identified might be of special clinical relevance for subtypes of CHF, which could lead to further understanding of mechanisms involved and an improvement in personalized treatment for CHF.
Keywords	Oriental traditional medicine ; biomarkers ; discriminant analysis ; energy ; glucose ; glycoproteins ; heart ; heart failure ; lactic acid ; least squares ; lipoproteins ; metabolites ; metabolomics ; proline ; pyruvic acid ; therapeutics ; valine
Language	English
Dates of publication	2015-04
Size	p. 80-90.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	2834228-8
ISSN	2095-7548 ; 2589-0395
ISSN	2095-7548 ; 2589-0395
DOI	10.1016/j.jtcms.2016.01.009
Database	NAL-Catalogue (AGRICOLA)

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Article: Tongxinluo Inhibits Renal Fibrosis in Diabetic Nephropathy: Involvement of the Suppression of Intercellular Transfer of TGF-[Formula: see text]1-Containing Exosomes from GECs to GMCs.

Wu, Xiao-Ming / Gao, Yan-Bin / Xu, Li-Ping / Zou, Da-Wei / Zhu, Zhi-Yao / Wang, Xiao-Lei / Yao, Wei-Jie / Luo, Liang-Tao / Tong, Yu / Tian, Nian-Xiu / Han, Zhe-Ji / Dang, Wan-Yu

The American journal of Chinese medicine

2017 Volume 45, Issue 5, Page(s) 1075–1092

Abstract: Glomerular mesangial cells (GMCs) activation is implicated in the pathogenesis of diabetic nephropathy (DN). Our previous study revealed that high glucose (HG)-treated glomerular endothelial cells (GECs) produce an increased number of TGF-[Formula: see ... ...

Abstract	Glomerular mesangial cells (GMCs) activation is implicated in the pathogenesis of diabetic nephropathy (DN). Our previous study revealed that high glucose (HG)-treated glomerular endothelial cells (GECs) produce an increased number of TGF-[Formula: see text]1-containing exosomes to activate GMCs through the TGF-[Formula: see text]1/Smad3 signaling pathway. We also identified that Tongxinluo (TXL), a traditional Chinese medicine, has beneficial effects on the treatment of DN in DN patients and type 2 diabetic mice. However, it remained elusive whether TXL could ameliorate renal structure and function through suppression of intercellular transfer of TGF-[Formula: see text]1-containing exosomes from GECs to GMCs. In this study, we demonstrate that TXL can inhibit the secretion of TGF-[Formula: see text]1-containing exosomes from HG-treated GECs. Furthermore, exosomes produced by HG induced-GECs treated with TXL cannot trigger GMC activation, proliferation and extracellular matrix (ECM) overproduction both in vitro and in vivo. These results suggest that TXL can prevent the transfer of TGF-[Formula: see text]1 from GECs to GMCs via exosomes, which may be one of the mechanisms of TXL in the treatment of DN.
MeSH term(s)	Animals ; Cell Communication/drug effects ; Cell Communication/genetics ; Cells, Cultured ; Diabetic Nephropathies/drug therapy ; Diabetic Nephropathies/genetics ; Diabetic Nephropathies/pathology ; Disease Models, Animal ; Drugs, Chinese Herbal/pharmacology ; Drugs, Chinese Herbal/therapeutic use ; Endothelial Cells/metabolism ; Exome/genetics ; Fibrosis ; Kidney/pathology ; Kidney Glomerulus/cytology ; Mesangial Cells/metabolism ; Mice ; Mice, Inbred C57BL ; Mice, Inbred Strains ; Phytotherapy ; Signal Transduction/drug effects ; Signal Transduction/genetics ; Transforming Growth Factor beta1/genetics ; Transforming Growth Factor beta1/metabolism
Chemical Substances	Drugs, Chinese Herbal ; Transforming Growth Factor beta1 ; tongxinluo
Language	English
Publishing date	2017
Publishing country	Singapore
Document type	Journal Article
ZDB-ID	193085-0
ISSN	0192-415X ; 0090-2942
ISSN	0192-415X ; 0090-2942
DOI	10.1142/S0192415X17500586
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Exosomes from high glucose-treated glomerular endothelial cells trigger the epithelial-mesenchymal transition and dysfunction of podocytes.

Wu, Xiaoming / Gao, Yanbin / Xu, Liping / Dang, Wanyu / Yan, Huimin / Zou, Dawei / Zhu, Zhiyao / Luo, Liangtao / Tian, Nianxiu / Wang, Xiaolei / Tong, Yu / Han, Zheji

Scientific reports

2017 Volume 7, Issue 1, Page(s) 9371

Abstract: New data indicate that abnormal glomerular endothelial cell (GEC)-podocyte crosstalk plays a critical role in diabetic nephropathy (DN). The aim of our study is to investigate the role of exosomes from high glucose (HG)-treated GECs in the epithelial- ... ...

Abstract	New data indicate that abnormal glomerular endothelial cell (GEC)-podocyte crosstalk plays a critical role in diabetic nephropathy (DN). The aim of our study is to investigate the role of exosomes from high glucose (HG)-treated GECs in the epithelial-mesenchymal transition (EMT) and dysfunction of podocytes. In this study, exosomes were extracted from GEC culture supernatants and podocytes were incubated with the GEC-derived exosomes. Here, we demonstrate that HG induces the endothelial-mesenchymal transition (EndoMT) of GECs and HG-treated cells undergoing the EndoMT secrete more exosomes than normal glucose (NG)-treated GECs. We show that GEC-derived exosomes can be internalized by podocytes and exosomes from HG-treated cells undergoing an EndoMT-like process can trigger the podocyte EMT and barrier dysfunction. Our study reveals that TGF-β1 mRNA is enriched in exosomes from HG-treated GECs and probably mediates the EMT and dysfunction of podocytes. In addition, our experimental results illustrate that canonical Wnt/β-catenin signaling is involved in the exosome-induced podocyte EMT. Our findings suggest the importance of paracrine communication via exosomes between cells undergoing the EndoMT and podocytes for renal fibrosis in DN. Thus, protecting GECs from the EndoMT and inhibiting TGF-β1-containing exosomes release from GECs is necessary to manage renal fibrosis in DN.
MeSH term(s)	Animals ; Biomarkers ; Cells, Cultured ; Diabetic Nephropathies/etiology ; Diabetic Nephropathies/metabolism ; Endocytosis ; Endothelial Cells/drug effects ; Endothelial Cells/metabolism ; Epithelial-Mesenchymal Transition ; Exosomes/metabolism ; Exosomes/ultrastructure ; Gene Expression ; Glucose/metabolism ; Glucose/pharmacology ; Kidney Glomerulus/metabolism ; Kidney Glomerulus/pathology ; Mice ; Permeability ; Phenotype ; Podocytes/drug effects ; Podocytes/metabolism ; Transforming Growth Factor beta1/genetics ; Transforming Growth Factor beta1/metabolism ; Wnt Signaling Pathway
Chemical Substances	Biomarkers ; Transforming Growth Factor beta1 ; Glucose (IY9XDZ35W2)
Language	English
Publishing date	2017-08-24
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-017-09907-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Chinese herbal medicine for chronic heart failure: a multicenter, randomized, double-blind, placebo-controlled trial

Luo, Liangtao / Wang, Juan / Han, Aiqing / Zhang, Peng / Guo, Shuzhen / Chen, Chan / Xu, Xuegong / Lin, Qian / Zhao, Huihui / Wang, Wei

Beijing University of Chinese Medicine Journal of traditional Chinese medical sciences. 2014 Oct. 01, v. 1, no. 2

2014

Abstract: The purpose of this study was to assess the efficacy and safety of Chinese herbal medicine (CHM) in the treatment of chronic heart failure (CHF) patients according to syndrome differentiation.In this multicenter, randomized, double-blind, placebo- ... ...

Abstract	The purpose of this study was to assess the efficacy and safety of Chinese herbal medicine (CHM) in the treatment of chronic heart failure (CHF) patients according to syndrome differentiation.In this multicenter, randomized, double-blind, placebo-controlled clinical trial, a total of 220 CHF patients were assigned to receive CHM or placebo granules without decoction according to syndrome differentiation in addition to their standard western treatment for 4 weeks. The change in the left ventricular ejection fraction (LVEF) was the primary outcome, and the changes in the TCM syndrome scores (TCM-SS) and New York Heart Association functional classification (NYHA-FC) were the secondary outcomes.After 4 weeks of treatment, the mean changes in the LVEF (13.1 ± 9.78 vs. 7.34 ± 7.40, P < 0.001) and the TCM syndrome scores (−34.2 ± 24.6 vs. −23.5 ± 25.2, P = 0.002) were better in the CHM group than in the placebo group. After two weeks of treatment, the mean changes in the LVEF (9.26 ± 7.83 vs. 4.72 ± 5.60, P < 0.001) and the TCM syndrome scores (−23.5 ± 18.6 vs. −14.0 ± 15.9, P < 0.001) were better in the CHM group than in the placebo group. In addition, repeated-measures analysis of variance (ANOVA) indicated significant time course effects of CHM versus placebo in the LVEF and TCM syndrome cores (P < 0.001 for all). The distention of the jugular vein (P = 0.021), expectoration (P = 0.044), abdominal distention (P = 0.004), and rib pain (P = 0.005) were significantly less in the CHM group than in the placebo group after two weeks of treatment. Fatigue (P = 0.001), less gas and lazy words (P = 0.001), dizziness (P = 0.003), gasping for breath (P = 0.027), abdominal distention (P = 0.011), nausea (P = 0.001) and emesis (P = 0.012) were significantly less in the CHM group than in the placebo group after treatment for four weeks. After four weeks of treatment, the change in the NYHA functional classification in the CHM group was better than that in the placebo group (P < 0.001). There was one death in the placebo group, and one patient in the CHM group experienced atrial fibrillation.CHM treatment according to syndrome differentiation effectively improved the LVEF, TCM-SS, and NYHA-FC in patients with CHF and also appeared to be safe. Thus, CHM treatment could be used as an adjuvant therapy in the treatment of CHF (Clinical trial registration: NCT01939236).
Keywords	adjuvants ; analysis of variance ; death ; heart failure ; herbal medicines ; jugular vein ; nausea ; pain ; patients ; placebos ; therapeutics ; vomiting
Language	English
Dates of publication	2014-1001
Size	p. 98-108.
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	2834228-8
ISSN	2095-7548 ; 2589-0395
ISSN	2095-7548 ; 2589-0395
DOI	10.1016/j.jtcms.2014.11.010
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Clinical data mining of phenotypic network in angina pectoris of coronary heart disease.

Chen, Jianxin / Lu, Peng / Zuo, Xiaohan / Shi, Qi / Zhao, Huihui / Luo, Liangtao / Yi, Jianqiang / Zheng, Chenglong / Yang, Yi / Wang, Wei

Evidence-based complementary and alternative medicine : eCAM

2012 Volume 2012, Page(s) 546230

Abstract: Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China. The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past. In this paper, we proposed four MI-based association algorithms ...

Abstract	Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China. The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past. In this paper, we proposed four MI-based association algorithms to analyze phenotype networks of CHD, and established scale of syndromes to automatically generate the diagnosis of patients based on their phenotypes. We also compared the change of core syndromes that CHD were combined with other diseases, and presented the different phenotype spectra.
Language	English
Publishing date	2012-06-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	2171158-6
ISSN	1741-4288 ; 1741-427X
ISSN (online)	1741-4288
ISSN	1741-427X
DOI	10.1155/2012/546230
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Article ; Online: In silico syndrome prediction for coronary artery disease in traditional chinese medicine.

Lu, Peng / Chen, Jianxin / Zhao, Huihui / Gao, Yibo / Luo, Liangtao / Zuo, Xiaohan / Shi, Qi / Yang, Yiping / Yi, Jianqiang / Wang, Wei

Evidence-based complementary and alternative medicine : eCAM

2012 Volume 2012, Page(s) 142584

Abstract: Coronary artery disease (CAD) is the leading causes of deaths in the world. The differentiation of syndrome (ZHENG) is the criterion of diagnosis and therapeutic in TCM. Therefore, syndrome prediction in silico can be improving the performance of ... ...

Abstract	Coronary artery disease (CAD) is the leading causes of deaths in the world. The differentiation of syndrome (ZHENG) is the criterion of diagnosis and therapeutic in TCM. Therefore, syndrome prediction in silico can be improving the performance of treatment. In this paper, we present a Bayesian network framework to construct a high-confidence syndrome predictor based on the optimum subset, that is, collected by Support Vector Machine (SVM) feature selection. Syndrome of CAD can be divided into asthenia and sthenia syndromes. According to the hierarchical characteristics of syndrome, we firstly label every case three types of syndrome (asthenia, sthenia, or both) to solve several syndromes with some patients. On basis of the three syndromes' classes, we design SVM feature selection to achieve the optimum symptom subset and compare this subset with Markov blanket feature select using ROC. Using this subset, the six predictors of CAD's syndrome are constructed by the Bayesian network technique. We also design Naïve Bayes, C4.5 Logistic, Radial basis function (RBF) network compared with Bayesian network. In a conclusion, the Bayesian network method based on the optimum symptoms shows a practical method to predict six syndromes of CAD in TCM.
Language	English
Publishing date	2012-04-10
Publishing country	United States
Document type	Journal Article
ZDB-ID	2171158-6
ISSN	1741-4288 ; 1741-427X
ISSN (online)	1741-4288
ISSN	1741-427X
DOI	10.1155/2012/142584
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