Effectiveness and safety of seven oral Chinese patent medicines as adjuvant therapy for cancer-related anemia: A systematic review and network meta-analysis of randomized controlled trials

Objective:To evaluate the effectiveness and safety of seven oral Chinese patent medicines(CPMs)as adjuvant therapy for cancer-related anemia(CRA)by network meta-analysis(NMA).Methods:A literature search to obtain randomized controlled trials(RCTs)of seven oral CPMs in the adjuvant treatment of CRA was conducted in multiple databases from the inception to April 2022.The RevMan5.3 and R 4.1.1 software were used for NMA.Results:We ultimately included 29 RCTs with 2140 patients.Traditional meta-analysis showed that Fufang E'jiao syrup(FFEJS),Shengxuebao mixture(SXBM),Shengxuening tablets(SXNT),Jianpi Shengxue granules(JPSXG),and Yixuesheng capsule(YXSC)combined with basic Western treatment(BWT)could improve the hemoglobin(HGB)level.JPSXG combined with BWT could improve the red blood cell(RBC).FFEJS combined with BWT improved the Karnofsky performance status(KPS).NMA showed that FFEJS,JPSXG,SXBM,and SXNT plus BWT improved HGB better than Shengxue tablets(SXT)plus BWT,with top three ranking results being JPSXG plus BWT>SXNT plus BWT>FFEJS plus BWT.FFEJS plus BWT,JPSXG plus BWT,SXBM plus BWT,SXNT plus BWT,and SXT plus BWT improved RBC better than BWT,with top three ranking results being SXNT plus BWT>JPSXG plus BWT>FFEJS plus BWT.In terms of the KPS score,compared with SXT plus BWT,FFEJS,JPSXG,SXBM,SXNT,and Yizhong Shengxue capsule(YZSXC)plus BWT had higher KPS,with top three ranking results being SXBM plus BWT>JPSXG plus BWT>FFEJS plus BWT.Conclusions:Our NMA demonstrated that seven oral CPMs used as adjuvant treatment of CRA had a definite clinical effect.JPSXG not only increases the levels of HGB and RBC to enhance the clinical effect but also improves patients'quality of life.More accurate conclusions need to be verified by more high-quality RCTs.

Effectiveness and safety of traditional Chinese medicine for diabetic retinopathy:A systematic review and network meta-analysis of randomized clinical trials

BACKGROUND Diabetic retinopathy(DR)is currently recognized as one of the most serious diabetic microangiopathies and a major cause of adult blindness.Commonly used clinical approaches include etiological control,microvascular improvement,and surgical intervention,but they are ineffective and have many side effects.Oral Chinese medicine(OCM)has been used for thousands of years to treat DR and is still widely used today,but it is unclear which OCM is more effective for DR.AIM To estimate relative effectiveness and safety profiles for different classes of OCMs for DR,and provide rankings of the available OCMs.METHODS The search time frame was from the creation of the database to January 2023.RevMan 5.3 and Stata 14.0 software were used to perform the systematic review and Network meta-analyses(NMA).RESULTS A total of 107 studies and 9710 patients were included,including 4767 cases in the test group and 4973 cases in the control group.Based on previous studies and clinical reports,and combined with the recommendations of Chinese guidelines for the prevention and treatment of DR,9 OCMs were finally included in this study,namely Compound Xueshuantong Capsules,Qiming Granules,Compound Danshen Dripping Pills,Hexue Mingmu Tablets(HXMM),Qiju Dihuang Pills(QJDH),Shuangdan Mingmu Capsules(SDMM),Danggui Buxue Decoction(DGBX),Xuefu Zhuyu Decoction and Buyang Huanwu Decoction.When these nine OCMs were analyzed in combination with conventional western medicine treatment(CT)compared with CT alone,the NMA results showed that HXMM+CT has better intervention effect on the overall efficacy of DR patients,HXMM+CT has better effect on improving patients'visual acuity,SDMM+CT has better effect on inhibiting vascular endothelial growth factor,DGBX+CT has better effect on reducing fundus hemorrhage area,HXMM+CT has better effect on reducing fasting blood glucose,and QJDH+CT has better effect on reducing glycated hemoglobin.When there are not enough clinical indicators for reference,SDMM+CT or HXMM+CT treatments can be chosen because they are effective for more indicators and demonstrate multidimensional efficacy.CONCLUSION This study provides evidence that combining OCMs with CT leads to better outcomes in all aspects of DR compared to using CT alone.Based on the findings,we highly recommend the use of SDMM or HXMM for the treatment of DR.These two OCMs have demonstrated outstanding efficacy across multiple indicators.

Integration of network pharmacology and bone marrow mesenchymal stem cells experimental research to reveal the molecular mechanisms for Hai Honghua medicinal liquor against osteoporosis

Background:Hai Honghua medicinal liquor(HHML)formula has been used in clinical practice for a long time,mainly for the treatment of freshly closed fractures,to promote osteogenesis,to increase bone mass,and thus to promote fracture healing.However,the underlying mechanisms of HHML in the treatment of osteoporosis(OP)are still unclear.Methods:Firstly,Traditional Chinese Medicines Systems Pharmacology Database and Analysis Platform and The Encyclopedia of Traditional Chinese Medicine were used to screen the targets of the active compounds of HHML.At the same time,OP targets were identified through GeneCards,Online Mendelian Inheritance in Man,DisGeNET,Therapeutic Target Database,Comparative Toxicogenomics Database and Human Phenotype Ontology databases.Next,protein-protein interaction and pathway networks were constructed for compound-disease common targets,and core targets and compounds were screened for molecular docking.Furthermore,rat bone marrow mesenchymal stem cells were extracted as model cells,and the osteogenic effects of HHML were verified via in vitro experiments.Results:Total of 343 common targets of HHML-OP and the top 10 target proteins in the protein-protein interaction network are TP53,AKT1,STAT3,HSP90AA1,ESR1,TNF,IL6,MAPK1,MAPK3 and MAPK8.Enrichment analysis yielded that the key molecular pathway was the PI3K/Akt signaling pathway.Molecular docking analysis showed that baicalein,erysodienone and naringenin docked with the target proteins AKT1,STAT3 and TP53,respectively,with low binding energy and high affinity.In addition,In vitro experiments demonstrated that HHML promoted the proliferation of bone marrow mesenchymal stem cells;compared with the control group,HHML-treated cells showed enhanced alkaline phosphatase staining,promoted the expression of OCN,RUNX2,BSP,and COL1 mRNAs as well as the expression of PI3K and AKT phosphorylated proteins.Secondly,the expression of target proteins revealed that HHML promoted the phosphorylation of STAT3 protein and inhibited the expression of P53.Conclusions:Our study investigated that HHML treatment with OP promotes bone formation possibly through activation of the PI3K/Akt signaling pathway and may involve STAT3 and TP53 target interactions.

The basic core traditional C hinese medicine for the prevention and treatment of COVID-19 and its active mechanisms

Background:COVID-19 has had a dramatic impact on human health,economies,societies,and livelihoods around the world.Traditional Chinese medicine(TCM)formulae have played an important role in the prevention and treatment of COVID-19.WHO evaluated the role of TCM in treating of COVID-19 and encouraged other countries to promote the use of TCM formulae.However,the key is to find the basic core traditional Chinese medicine(BC-TCM)among those formulae.Methods:For the first time,we mined the data of TCM formulae in CNIPA and analyzed herb characteristics and association rules.We then determined the BC-TCM and screened main compounds and therapeutic targets.Finally,the potential molecular mechanisms were explored by using enrichment analyses and molecular docking.Results:This study screened 123 patented TCM formulae,including 312 herbs.According to frequency statistics and association rules,nine herbs(Gan Cao,Jin Yinhua,Guang Huoxiang,Fu Ling,Huang Qi,Jie Geng,Lian Qiao,Cang Zhu,Ku Xingren)were selected as the BC-TCM.The BC-TCM involved 166 main compounds and 48 therapeutic targets.The active compounds Hederagenin,Spinasterol,Beta-sitosterol,and Liquiritin had high binding activity to the COVID-19 targets 3CL,ACE2,and core targets RELA,HSP90AA1,STAT3,MAPK3,and TP53 according to molecular docking results.Interestingly,Hederagenin might be a potential compound for the prevention and treatment of COVID-19.Conclusion:Our research predicted and confirmed the preventive therapeutic effect of BC-TCM on COVID-19.This has the potential to broaden the scope of TCM,guide people in using clinical formulae,and provide valuable insights for future TCM discovery research.

Effectiveness and safety of traditional Chinese medicine decoction for diabetic gastroparesis:A network meta-analysis

BACKGROUND Diabetic gastroparesis(DGP)is a prevalent complication of diabetes that impairs people's quality of life and places a significant financial burden on them.The gastrointestinal symptoms of DGP patients can be improved by several Traditional Chinese Medicine(TCM)decoctions that have been shown to be effective in treating the disease.There are still many unanswered questions regarding the identification of appropriate therapeutic agents for the treatment of DGP in clinical practice.AIM To analyze the efficacy of several TCM decoctions in the treatment of DGP using Bayesian network meta-analysis for reference.METHODS PubMed,EMBASE,Cochrane Library,Web of Science,China National Knowledge Infrastructure,The China Biology Medicine DVD,Wanfang,and CQVIP were searched from inception to September 17,2022,to collect randomized controlled trials(RCTs)about TCM decoctions for DGP.Clinical effects and symptom scores were the primary outcomes.Additionally,we assessed motilin(MOT),somatostatin(SS),gastrin(GAS),gastric emptying rate,gastric emptying time,and adverse drug events as secondary outcomes.RESULTS A total of 67 eligible RCTs involving 4790 DGP patients and 7 TCM decoctions were included.The results of network meta-analysis(NMA)and surface under the cumulative ranking curve showed that with western medicine(WM)as a common control,the Banxia Xiexin Decoction(BXXD)+WM was most effective in clinical effects and enhancing early satiety scores;the Simo decoction(SMD)+WM was most effective in improving nausea and vomiting scores and anorexia scores,bloating scores;the Chaishao Liujunzi Decoction(CSLJD)was most effective in MOT,the Zhishi Xiaopi Decoction(ZSXPD)was most effective in SS and upgrading emptying rate;the Jianpi Xiaozhi Decoction was most effective in GAS;the CSLJD+WM was most effective in improving gastric emptying time.CONCLUSION These NMA results suggest that the BXXD+WM and SMD+WM may be one of the potential optimal treatments.Due to various limitations,further large-sample,double-blind,multi-center randomized RCTs are needed.

Network Meta-analysis of nerve block combined with Chinese medicine for lumbar disc herniation

Objective:To evaluate the clinical efficacy of Chinese medicine methods(acupuncture,tui na,acupuncture knife,traditional Chinese medicine,traction)combined with nerve block treatment for lumbar disc herniation using Bayesian mesh Meta-analysis.Methods:Randomized controlled studies of TCM methods combined with nerve block for lumbar disc herniation in CNKI,Wanfang,Vip,China Biomedical Literature Library,Pubmed,Web of science,and The Cochrance Library databases were searched for the period from the establishment of each database to May 2021.2 researchers independently followed the developed nerf criteria to Screening was performed.Bayesian model mesh Meta-analysis was performed using R,RStudio,and addis-1.16.6 software.Results:Twenty-seven papers with a total of 2074 subjects were finally included,involving six interventions,namely nerve block alone,herbal medicine combined with nerve block,acupuncture combined with nerve block,acupuncture combined with nerve block,traction combined with nerve block,and tui na combined with nerve block.The results of the net analysis showed that(1)in terms of efficiency,all interventions were better than simple nerve block except for traction combined nerve block,and acupuncture,acupuncture,tui-na and Chinese medicine combined nerve block were better than traction combined nerve block respectively,and the probability ranked first for acupuncture combined nerve block.(2)On the VAS score,except for traction combined with nerve block,other interventions were superior to simple nerve block,and the combination of herbal medicine,acupuncture,and acupuncture respectively was superior to traction combined with nerve block,and the intervention with the best probability ranking result was herbal medicine combined with nerve block.(3)There was no statistical difference between the two interventions compared in terms of JOA scores,and the probability ranked first for herbal medicine combined nerve block.Conclusion:Chinese medicine combined nerve block was superior to nerve block alone,and Chinese medicine combined nerve block and acupuncture combined nerve block measures were more effective in the treatment of LDH,and traction combined nerve block was less effective.

Methodological survey of using Bayesian Network for predicting pharmacology-based bioactivities of Chinese medicines:a scoping review

Background:It seems to be numerous unclear black-box mechanisms of Chinese Medicines(CMs)with multiple bioactivities in the real-world clinical practice.Meanwhile,prior prediction is necessary before the implementation of pharmacodynamics-pharmacokinetics-based researches.With emergent ML techniques for TCM domain,Bayesian Network(BN)has shown its potentials for CM-bioactivity prediction and syndromes identification in Traditional Chinese Medicine(TCM),benefited from many advantages,such as flexibility in addressing,data-driven and probability-based inference under complex uncertainty.Although BN has been extensively used in TCM,the scarcity of researches on refining methodological features of BN-modelling for optimization poses a significant challenge.Our goal is to present methodological overview of BN-modelling for CM-bioactivities prediction towards pharmacology,which tends to acquire a sequence of intimations for boosting in-depth and optimized CM-BN collaboration based on detected gaps.Methods:We performed systematic search of 13 databases from their inception to November 10th 2022 regardless of language written,which excluded unindexed journals and clinical trial registries,using the 3 keywords(CM,Pharmacology,BN).And full-text original researches with the given subject were under consideration.Afterwards,selection of eligible studies,data refinement and inspection were totally conducted by 6 review authors.Results:A total of 7 studies involving 17 BN models were included for synthesis and refinement,based on existing literatures and databases with 2 modelling functions:regression and tagging.There were 3 prediction patterns:property-bioactivity,efficacy-bioactivity and constituent-bioactivity inference,covering 8 feature-utilized efficacies,5 feature-utilized properties and 10 feature-utilized constituents.Thereafter,without an independent validation dataset,established BNs were mostly utilized to predict the root-node probabilities of unknown data.Indeed,incomplete report on modelling samples,directed acyclic graphs,conditional probability tables and algorithms hindered us from gathering information.Conclusion:A spot of studies were found in this work.And current evidence suggested that some breakthroughs should be achieved in CM-BN integration in the future.At last,to our knowledge,we preliminarily proposed certain recommendations and elicited implications for future work.

Discovering the efficacy and mechanism of Chinese herbal medicine for distal symmetric polyneuropathy via integrating meta-analysis and network pharmacology analysis

Objective Chinese herbal medicine(CHM)has been commonly used in Distal Symmetric Polyneuropathy(DSPN)treatment with satisfactory clinical effects,but the underlying pharmacological mechanism of CHM on DSPN remains unclear.We aimed to identify frequently used clinically effective CHM and its potential pharmacological mechanisms for DSPN by conducting meta-analysis and network pharmacology analysis.Methods We searched both Chinese and English databases from March 1990 to October 2022.Studies that met the inclusion criteria were selected for meta-analysis.After extracting the relevant data,we performed meta-analysis and frequency analysis.The active compounds and predicted targets of high-frequency herbs and DSPN-related targets were extracted from public databases.Then we conducted network construction,Gene Ontology(GO)enrichment,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis to discover the potential pharmacological mechanisms.Results Sixteen articles were selected for meta-analysis,and nine high-frequency CHMs were identified,including Radix Astragali seu Hedysari,Rhizoma Ligustici,Caulis Spatholobi,Radix Salviae Miltiorrhizae,Radix Paeoniae Alba,Flos Carthami,Radix Notoginseng,Radix Rehmanniae Recens,Rhizoma Corydalis.Fourteen hub targets including STAT3,CTNNB1,MAPK14,SRC,AKT1,TP53,EGFR,JUN,RELA,MAPK1,FOS,CCND1,HSP90AA1,MYC,and ten active compounds including Quercetin,Kaempferol,Luteolin,Apigenin,beta-sitosterol,Stigmasterol,Caffeic Acid,Aeginetic Acid,Vanillin,and Lauric Acid were identified by network analysis.Enrichment analysis showed that the biological process of hub targets included transcriptional regulation,cell proliferation,redox processes,apoptosis processes,ERK1 and ERK2 cascades,hypoxia reactions,MAPK cascades,and inflammatory responses.The main signalling pathways included HIF,TNF,and PI3K-AKT pathways.Conclusion Nine herbs were involved in the clinical therapeutic effect of CHM on DSPN treatment,and they may exert an anti-DSPN effect by regulating cell proliferation,apoptosis,and redox processes.

Progress in the Application of Network Pharmacology in Mongolian Medicine Research

This paper summarizes the status quo of Mongolian medicine research,the basic research ideas and contents of network pharmacology,the latest development of network pharmacology technology in the field of Mongolian medicine research,the application progress,future development direction and existing problems in the research of Mongolian medicine,so as to provide new ideas and new methods for the scientific research of traditional medicine.

Network pharmacology and verification experiment-based prediction of active components and potential targets of Alpiniae Oxyphyllae Fructus-Saposhnikoviae Radix(Yizhiren-Fangfeng)for treatment of diabetic kidney disease

Background:In this study,we analyzed the potential active components,related crucial targets and possible signaling pathway mechanisms of Alpiniae Oxyphyllae Fructus and Saposhnikoviae Radix(AOF-SR)herb pairs in the treatment of diabetic kidney disease(DKD)using network pharmacology and verification experiments.Methods:The active compounds and potential targets of AOF-SR were derived from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,The Encyclopedia of Traditional Chinese Medicine,and PubChem databases,and the potential therapeutic targets of DKD were derived from the OMIM,Drugbank,and DisGeNET databases.The“compounds-diseases-targets”network was constructed using Cytoscape 3.6.0.ClusterMaker functionality in Cytoscape is being used to screen important targets for AOF-SR treatment of DKD.Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of important targets were performed using DAVID database.In addition,according to the predicted results of network pharmacology,HK-2 cells were used to construct DKD model for verification experiment.HK-2 cells were divided into control group,high glucose(HG)group and AOF-SR(HG+AOF-SR)group to detect survival rate and expression of key proteins in NF-κB and PI3K/Akt signaling pathways.Results:A total of 38 compounds were selected from AOF-SR,of which 23 were Alpiniae Oxyphyllae Fructus and 15 were Saposhnikoviae Radix.Through enrichment analysis of 82 important targets,88 signaling pathways were identified;some of these pathways,such as the NF-κB,PI3K-Akt,IL-17,and JAK/STAT signaling pathways,regulate the pathological process of DKD.In verification experiment,the HK-2 cells survival rate was higher in the HG+AOF-SR group than in the HG group(P<0.05).Moreover,western blotting results showed that the expression levels of NF-κB,p-PI3K,and p-Akt in HG+AOF-SR group were significantly lower than those in HG group(P<0.05).Conclusion:Overall,this study revealed the active compounds,important targets and possible mechanisms of AOF-SR treatment for DKD,and conducted preliminary verification experiments on its correctness,provided novel insights into the treatment of DKD by AOF-SR.

Network pharmacology and data analysis method to explore the traditional Chinese medicine regulates ferroptosis key genes in the occurrence and prognosis of lupus nephritis

Purpose:To explore the traditional Chinese medicine(TCM)regulates ferroptosis key genes in the occurrence and development of lupus nephritis(LN)based on biological information database.Patients and methods:Ferroptosis related genes were identified based on FerrDb database and literature retrieval.Used the OMIM,Gene Cards,Drug Bank to obtain the targets of LN.Cytoscapes 3.8.2 software and STRING database were used to analyze protein-protein interaction(PPI)network.Metacape software and Weishengxin were used to analyze the gene ontology(GO)classification and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis.UniProt Database and Traditional Chinese Systems Pharmacology Database and Analysis Platform analysis platform were used to obtain the data table of key TCM and related targets.Cytoscapes 3.8.2 software was used to analyze the PPI network.Results:A total of 401 ferroptosis-related genes,361 LN related genes and 21“Ferroptosis-LN”intersection genes were obtained.Ferroptosis in the occurrence and prognosis of LN mainly involved the inflammatory response,cell activation,positive regulation of chemokine production and it was mainly involved in necroptosis,inflammatory bowel disease,ferroptosis and other pathways.A total of 412 TCMs containing key genes of“Ferroptosis-LN”were acquired.The most key genes were contained in Mahuang,Gehua,Baiguo,Chuanniuxi,Jinyinhua.15 key genes of“TCM-LN”were obtained.5 ferroptosis-related key genes in LN regulated by TCM were obtained,which were IL1β,TLR4,IFNG,STAT3 and HMOX1.Conclusion:TCM,such as Mahuang,Gehua,Baiguo,Chuanniuxi,Jinyinhua,may affect the occurrence and development of LN through the key ferroptosis genes,such as IL1B,TLR4,IFNG,STAT3 and HMOX1.

A retrospective study on professor Gui-Qi Xuan’s experience in traditional Chinese medicine treatment on attention-deficit hyperactivity disorder: based on data mining and network pharmacology

Background:To investigate the clinical medication approach of Professor Guiqi Xuan(Prof.Xuan)in treating pediatric patients with attention-deficit hyperactivity disorder(ADHD)and the potential mechanism of the core herbal prescription.Methods:Following medical record information pretreatment,the Traditional Chinese Medicine(TCM)inheritance computing platform system V3.0 was utilized to analyze the standardized data.The associate rules were summarized to identify the core prescription for treating ADHD.The extracted core herbal prescription’s active compounds and potential targets were used to establish a protein-protein interaction network of active ingredient-disease targets.Cytoscape 3.9.1 software was used to analyze the network’s topological parameters to obtain the key active ingredients and their targets.The Bioconductor data package of R4.0.2 was used to analyze the gene ontology biological functions and Kyoto Encyclopedia of Genes and Genomes pathways of key targets.Results:Two hundred and twenty-seven entries derived from TCM record information were selected.Through data mining,it was found that 62.5%of pediatric patients had short-tempered behavior,nearly half had sleep problems,and 30%-40%had picky eating and polyphagia issues.The highest-frequency syndrome type was kidney deficiency and liver hyperactivity.Deficiency,fire,phlegm,and dyspeptic food were the main pathological factors for ADHD.Prof.Xuan’s treatment of ADHD mainly focused on replenishing kidney essence and subduing Yang(active,external,ascending,warm,bright,functional and excited pertain to Yang).The core herbal prescription for ADHD included Yuan-zhi,Yi-zhi,Gui-jia,Bai-shao,Long-chi,Ci-shi,Shi-chang-pu,Yu-jin,Fu-shen,and Huang-jing.The protein-protein interaction network showed that MAOA,ADRB2,FOS,MAOB,and SLC6A3 were the five key targets essential in treating ADHD with core herbal prescriptions.The gene ontology biological function of crucial targets mainly involved G protein-coupled amine receptor activity,catecholamine binding,and neurotransmitter transmembrane transporter activity.Analysis of Kyoto Encyclopedia of Genes and Genomes pathways showed that the dopaminergic synapse signaling and neuroactive ligand-receptor interaction pathways were significantly enriched and may be the primary routes for the main treatment of ADHD.Conclusion:Prof.Xuan’s treatment of ADHD has achieved satisfactory clinical effects by supplementing the kidney,replenishing the essence,opening the orifices,nourishing the Yin(static,internal,descending,cold,dim,organic,depressed and pertain to Yin),and subduing the Yang.The major prescription predominantly affects catecholamine binding,neuroactive ligand-receptor interaction,G protein-coupled amine receptor function,and signaling pathways for dopaminergic synapses.Our findings showed that the methodology and software used in this research could explore and analyze the mechanism behind Prof.Xuan’s clinical medication rule for treating ADHD in children.

Identifying medication regularity of traditional Chinese medicine and potential pharmacological mechanism of Jiedu Sangen decoction in colorectal cancer treatment by data mining and network pharmacology

Objective:Colorectal cancer(CRC)is one of the most common malignancies in the world,and traditional Chinese medicine(TCM)is widely used in its treatment in China.However,the medication rules of TCM for CRC treatment remain unclear.Therefore,data mining combined with network pharmacology was utilized to establish treatment principles and rules.Methods:The CRC cases treated at Zhejiang Provincial Hospital of Chinese Medicine from January 1,2016 to October 31,2021 were analyzed using data mining methods.UPLC-Q/TOF-MS analysis was performed to identify the chemical composition of Jiedu Sangen decoction(JSD).Network pharmacology was used to reveal the therapeutic mechanism of JSD.Results:A total of 312 cases 2,998 prescriptions that met the inclusion criteria used 343 kinds of traditional Chinese medicines.The nature of the herbs used in treatment was mainly warm and mild.The taste was mainly sweet,bitter,and pungent.The meridian tropisms were mainly the spleen meridian,followed by lung and stomach meridians.Tonifying and replenishing herbs were the most frequently used in treatment.High-frequency herbs were classified into 11 categories by cluster analysis,and 42 association rules were obtained by association rule analysis.Combined with complex network analysis,3 core prescriptions for clinical CRC treatment were obtained.Jiedu Sangen decoction contains 64 chemical ingredients,out of which 31 active ingredients were identified,including polydatin,caffeic acid,and glutamic acid,along with 130 potential targets such as AKT1,SRC,and MAPK1.Jiedu Sangen decoction may play a role in regulating inflammation,immunity,metabolism,and hormones in the development of CRC via pathways such as the relaxin signaling pathway,IL-17 signaling pathway,prolactin signaling pathway,and T cell receptor signaling pathway.Conclusions:This study summarizes the treatment and medication principles for clinical CRC treatment,promoting the inheritance and development of the traditional Chinese medical experience.

Network Curriculum Design of Traditional Chinese Medicine Pharmacy Specialty Formed by Introducing Guangxi Minority Medicine

Starting from the background and significance of the development and design of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine,this paper discusses the teaching design scheme and module construction of the network course in the development process,and summarizes the design,production and construction experience of the network course.Through practice,the teaching effect and achievement of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine are obvious.

Analysis of the rule of medication of compound Chinese traditional patent medicine for digestive system tumors based on data mining

Objective:Based on the data mining method,explore the medication rules of Chinese patent medicines for the treatment of digestive system tumors.Method:Based on the"Chinese Traditional Medicine Prescription Database"in https://db.yaozh.com/,collect Chinese patent medicines for the treatment of digestive system tumors,establish an Excel table,and use the ancient and modern medical case cloud platform(V2.2.1)to perform frequency statistics,association rules,and drugs on the data Clustering and complex network analysis.Results:A total of 36 Chinese patent medicines for the treatment of digestive system tumors were screened.The medicinal properties were mainly warm and cold,the taste was bitter and sweet,and the meridians were mainly liver and spleen meridians.High frequency Chinese medicine include Astragalus,Scutellaria-barbata,Ginseng,Curcuma,Triangle,Atractylodes,Hedyotis diffusa,etc.Correlation analysis obtained 17 drug combinations,High-frequency drug pairs include Scutellaria-barbata-Astragalus,Ginseng-Astragalus,Curcuma-Astragalus,Scutellaria-barbata-Curcuma,etc.Cluster analysis found 3 types of drugs.The core drug network is composed of 27 drugs,and the core compatibility network consists of 3 groups of drugs.Conclusion:The Chinese patent compound medicine for the treatment of digestive system tumors has the characteristics of combining cold and warming,replenishing and reducing treatment,and treating the liver and spleen at the same time.The medicine is mainly used to replenish qi and invigorate the spleen,promote blood circulation and remove blood stasis,and clear away heat and detoxification.Replenish qi,nourish yin,invigorate blood,and detoxify are mainly compatible with each other,reflecting the pathogenesis characteristics of"deficiency,stasis,and toxin"in digestive system tumors.Data mining can provide references for the prescription and compatibility of Chinese patent medicines.

Study on the mechanism of “Ligusticum chuanxiong Hort.-Salvia miltiorrhiza” couplet medicine for coronary heart disease based on network pharmacology

Objective:To study the active components and gene targets of“Ligusticum chuanxiong Hort.-Salvia miltiorrhiza”couplet medicine for the treatment of coronary heart disease(CHD)based on network pharmacology,and to explore its mechanism.Methods:Based on oral bioavailability(OB)>30%and drug-like(DL)>0.18,the active components of“Ligusticum chuanxiong Hort.-Salvia miltiorrhiza”for CHD were screened and the targets of treating CHD were predicted by using TCMSP and GeneCards database.The active component-CHD target network was established by Cytoscape 3.7.2 software.The protein-protein interaction(PPI)network was constructed by utilizing String database.Finally,GO enrichment analysis and KEGG pathway enrichment analysis were performed by using Bioconductor and R language.Results:The study predicted 72 active components in total,including 7 Ligusticum chuanxiong Hort.and 65 Salvia miltiorrhiza,such asβ-sitosterol,tanshinone.Totally 96 target genen of active components were obtained,including PTGS1,NCOA2,NOS2,etc.Results of GO enrichment analysis showed 142 biological processes,related to adrenergic receptor activity,G protein-coupled amine receptor activity,etc.KEGG pathway enrichment analysis showed 131 pathways,including PI3K-Akt signaling pathway,IL-17 signaling pathway,HIF-1 signaling pathway,etc.Conclusion:“Ligusticum chuanxiong Hort.-Salvia miltiorrhiza”couplet medicine exerts therapeutic effects on CHD from multiple targets as PTGS1,PTGS2 and adrenergic receptor activity and PI3K-Akt signaling pathway.The study can provide reference for further researches on its mechanism and the pharmacological effects of Shenzhi Tongxin Capsule.

Pharmaceutical Rules of Traditional Chinese Medicine For Stroke Based on Dictionary of Prescriptions and Complex Network Analysis

Objective:Taking the Dictionary of Prescriptions as a clue,we collected effective prescriptions for treating Stroke,and systematically summarized the medication and compatibility rules of the core Chinese medicines for treating Stroke.Methods:A database of prescriptions for stroke based on complex relationship analysis system of traditional Chinese medicine was established.From the point of view of complex network,the hierarchy of drug compatibility rules of compound prescriptions(such as courtiers and envoys)was analyzed,the statistical characteristics of complex networks were analyzed,and an attempt was made to explain the characteristics of complex networks of drugs for stroke.Results:A total of 974 prescriptions were collected,including 1040 Chinese herbs.The core Chinese herbal medicines with nodal degree(>500)for Stroke were divaricate saposhnikovia root,liquorice root,Chinese angelica,tall gastrodia tuber,incised notopterygium rhizome and root.The compatibility relationship of the core Chinese medicines in the treatment of stroke is divaricate saposhnikovia root-liquorice root,ephedra-divaricate saposhnikovia root,divaricate saposhnikovia root-sichuan lovage rhizome,divaricate saposhnikovia root-Chinese angelica in order of frequency.Conclusion:Through the analysis of the common network structure of effective prescriptions for Stroke,the core prescription compatibility structure reflecting the prescription thinking and clinical characteristics was found.

Chinese patent medicine for stable angina pectoris:protocol for a systematic review and network meta-analysis

Stable angina pectoris is a common condition that affects a wide group of patients with coronary artery diseases.A number of Chinese patent drugs based on classic herbal formulations are available for angina management.A network meta-analysis is proposed to assess the relative efficacy and safety of commonly used drugs for stable angina and generate a clinically meaningful ranking for each important outcome.We composed a list of 24 widely-used oral blood-quickening Chinese patent drugs from literature review and expert consultation.Three English and five Chinese electronic databases will be searched up to July 2021 for randomised clinical trials comparing between drugs on the list or with nitrates or placebo for stable angina.Unpublished data or grey literature will be sought through trial registries and correspondence to the report authors.Two reviewers independently screen literature,extract data and assess clinical and methodological features of included studies.The WinBUGS software will be used to perform network meta-analysis and the Stata 13.0 software to generate graphic demonstrations of the results.Primary outcomes are the incidence of cardiovascular events and changes in angina frequency,duration and intensity.We will use the surface under the cumulative ranking curve and the mean value for the numeric presentation of efficacy and safety ranking probabilities of multiple treatments.Heterogeneity and inconsistency will be assessed using appropriate statistical tests,and subgroup analysis and network meta-regression will be resorted when necessary.The quality of evidence for each outcome will be graded with the web-based GRADEpro GDT.

Mechanism analysis of Traditional Chinese Medicine in treatment of Diabetic Nephropathy based on network pharmacology and Traditional Chinese Medicine inheritance support system

糖尿病肾病为糖尿病最为严重的并发症之一,早期以水肿、蛋白尿为主要临床表现,后期随着病情发展严重者则会出现肾小球硬化及肾间质纤维化,预后差,目前中医药在治疗糖尿病肾病方面有一定的优势。目前关于中医药治疗糖尿病肾病的研究越来越多,但大多集中于研究糖尿病肾病的中医分型及病因病机的总结,缺少针对中药处方作用机制的深入研究与归纳整理。本文采用中医传承系统及网络药理学BATMAN-TCM软件,搜集整理相关文献,对近十年来经临床实践及动物实验验证对治疗糖尿病肾病的确有显著疗效的中医药处方进行分析,研究其核心用药配伍规律及治疗糖尿病肾病的潜在作用信号通路和靶点。研究发现,中医药治疗糖尿病肾病的核心中药配伍味山茱萸、茯苓、山药三味中药,此配伍富集与糖尿病肾病的信号传导通路及靶点有密切的联系,并且对蛋白尿、糖代谢紊乱、水肿等临床症状的改善有积极作用,深入探讨核心配伍山茱萸、茯苓、山药三味中药对糖尿病肾病的治疗效果,以期为中医药治疗糖尿病肾病的研究及临床治疗提供参考。