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ObjectiveTo explore the mechanism of Tangbikang granules （TBK） against diabetic peripheral neuropathy （DPN） based on network pharmacology and in-vivo experiment. MethodThe active components in medicinals of TBK and their target genes were searched from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. The active components of the medicinals which are not included in TCMSP were searched from previous research. After the analysis of drug-likeness by SwissADME， the target genes of them were predicted with SwissTargetPrediction. DPN-related target genes were retrieved from GeneCards. The common targets of the disease and the prescription were the hub genes of TBK against DPN， which were uploaded to Metascape for Gene Ontology （GO） term enrichment and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis. High-sugar and high-fat diet and low-dose streptozotocin （STZ， ip） were employed to induce diabetes in rats， and then the model rats were respectively treated with low-dose （0.625 g·kg-1）， medium-dose （1.25 g·kg-1）， and high-dose （2.5 g·kg-1） TBK for 12 weeks. Sensory nerve conduction velocity （SNCV） was evaluated. After hematoxylin and eosin （HE） staining， the sciatic nerve was observed under light microscope to examine the nerve damage. Real-time PCR was performed to detect the gene expression of adenosine monophosphate-activated protein kinase （AMPK） pathway-related targets in rat sciatic nerve， and Western blot to measure the protein expression of AMPK and phosphorylated （p）-AMPK in rat sciatic nerve. ResultThe main active components of TBK， such as quercetin， kaempferol， β-sitosterol， leech pteridine A， stigmasterol， and baicalein were screened out， mainly acting on interleukin-6 （IL-6）， tumor necrosis factor （TNF）， protein kinase B （Akt）， JUN， and HSP90AA1 and signaling pathways such as AMPK， nuclear factor-κB （NF-κB）， and Janus kinase/signal transducer and activator of transcription （JAK/STAT）. Molecular docking results showed that β-sitosterol and stigmasterol had high binding affinity with IL-6， TNF， JUN， and HSP90AA1. As for the animal experiment， compared with the normal group， model group had low SNCV of sciatic nerve （P<0.01）， disordered and loose myelinated nerve fibers with axonotmesis and demyelinization， low mRNA expression of AMPKα， AMPKβ， peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α）， Sirtuin 3 （SirT3）， mitochondrial transcription factor A （TFAM）， and low p-AMPK/AMPK ratio in sciatic nerve （P<0.05， P<0.01）. Compared with the model group， TBK of the three doses raised the SNCV （P<0.01）， restored nerve morphology and nerve compactness， and increased the mRNA expression of AMPKα， AMPKβ， PGC-1α， SirT3， and TFAM （P<0.05， P<0.01）. The ratio of p-AMPK/AMPK in the high-dose and medium-dose TBK groups was higher than that in the model group （P<0.01）， while the protein expression in the low-dose TBK group was insignificantly different from that in the model group. ConclusionTBK exerts therapeutic effect on DPN through multiple pathways and targets. The mechanism is that it activates and regulates AMPK/PGC-1α/SirT3 signaling， which lays a basis for further study of TBK in the treatment of DPN.
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OBJECTIVE：To estab lish“TCM Data Analysis Platform Based on Strategy Pattern ”（TCMDP），and to analyze the medication rules of TCM prescription against primary hepatic carcinoma （PHC），so as to provide reference for TCM prescription screening. METHODS ：According to the idea of strategy pattern ，TCMDP software was developed ，and the frequency statistics，association，clustering，classification and other methods and the different algorithms covered were encapsulated. Effective TCM prescriptions against PHC were collected and screened from 4 tertiary-grade class-A hospitals in Nanchang city and CNKI ， PubMed. A database of prescriptions for PHC （PDOPHC）was established ，and TCM prescriptions in the data base were put into TCMDP. Clustering algorithm modified by CMC-DD ，modified WD-Get Rules algorithm after merging depth and width search and frequency statistics were used to analyze the distribution of prescription syndrome. Taking phlegm-blood stasis syndrome type （TYPHC）as example ，data mining was carried out on drug efficacy category ，four properties ，five flavors and channel tropism ， drug property combination ，key couplet medicines and key drug combination. RESULTS ：A total of 907 TCM prescriptions against PHC were collected ，mainly involving 10 syndrome types ，such as phlegm-blood stasis syndrome ，deficiency of the vital essential and blood stasis syndrome and liver and spleen blood stasis syndrome. TCM related to TYPHC commonly used in pre- scriptions were tonifying deficiency medicine ， phlegm-re- solving medicine ，promoting blood circulation and removing blood stasi s medicine ，etc．Four properties were mostly cold ，warm and calm ；the five flavors were most ly swe et，bitter and pungent ；channel tropism were mostly spleen ，liver，stomach， lung，heart and kidney ；drug combination were mostly warming-sweet-spleen ，warming-pungent-spleen and cold-bitter-liver ，etc.； there were 36 couplet medicines with frequency ≥30 times；there were 31 strong association rules and 8 key drug combinations in the prescriptions. WD-Get Rules results showed that in the TCM prescriptions against PHC ，Atractylodes macrocephala ，Codonopsis pilosula，Poria cocos and Glycyrrhiza uralensis were in the key position. They were often combined with many kinds of drugs ， which were related to the effect of Sijunzi decoction on strengthening Qi and tonifying spleen. CMC-DD results showed that therapy for TYPHC focused on strengthening the spleen and stomach ，replenishing Qi and blood ；and at the same time ，it treated TYPHC with phlegm-blood stasis syndrome from multiple angles ，such as soothing the liver and regulating Qi ，eliminating phlegm ，clearing heat and detoxification ，promoting blood circulation and nourishing Yin. CONCLUSIONS ：Clinical treatment of TYPHC mainly adopts the methods of invigorating the spleen and replenishing Qi ，soothing the liver and regulating Qi ，promoting blood circulation and removing blood stasis ，which conforms to the medication principle of “strengthening the body and eliminating pathogenic factors”. The application of TCMDP can realize the data mining and analysis of TCM in multi-level and multi-directional way ， which provides a new and effective way for the mining and research of compatibility rules of TCM prescriptions.
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OBJECTIVE： To study the mechanism of Prunus persica-Carthamus tinctorius couplet medicine in the treatment of osteonecrosis of the femoral head （ONFH）. METHODS： The network pharmacology was adopted. The active components of P. persica -C. tinctorius couplet medicine and ONFH target were screened through TCM systematic pharmacological analysis platform target （TCMSP）， DRAR-CPI， hnuman gene database （GeneCards） and online medelian inheritance in man （OMIM） using oral availability of compounds （OB）＞30％ and drug like （DL）＞0.18 as standard. Network topology attribute analysis software Cytoscape 3.6.0 was utilized to construct the active components-ONFH targets network. Target protein interaction network was established on the basis of STRING database， and top 5 target proteins in the list of connectivity were screened， and molecular docking server was used to predict the combination activity of active components from P. persica -C. tinctorius couplet medicine. The biological processes of target gene ontology （GO） and metabolic pathways in Kyoto encyclopedia of genes and genomes （KEGG） were enriched and analyzed by DAVID. RESULTS： A total of 44 active components were screened from P. persica -C. tinctorius couplet medicine， including baicalin， quercetin， etc.， and 78 targets related to ONFH including VEGF， VEGI， CRP， etc. Through analysis of molecular docking server， binding activity of active components of P. persica -C. tinctorius couplet medicine to target protein was strong. GO and KEGG pathway enrichment analysis showed that biological process of P. persica -C. tinctorius couplet medicine for ONFH was related with negative regulation of apoptosis process and positive regulation of nuclear factor-κB transcription factor， mainly through regulating secretory glycoprotein signaling pathway， melanogenesis signaling pathway， VEGF signaling pathway， signaling pathway of basal cell carcinoma， adenosine-activated protein kinase signaling pathway. CONCLUSIONS： This study preliminarily validates the major targets and pathways of P. persica -C. tinctorius couplet medicine for ONFH， which lay a foundation for further study on their pharmacological action.
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The paper analyzes the deficiencies of the traditional Hospital Information System (HIS),establishes the hospital data mining and analysis platform,introduces the platform architecture,builds the data mining models themed by analysis of hospital leaders,supervision and management of antibacterial drugs,analysis of hospital quality,analysis of single disease,expenditure control by medical insurance,etc.,and puts forward the smart solutions to improve the service tevel of hospitals on the basis of above.