Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β （TGF-β） regulates cell differentiation， proliferation， apoptosis， and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years， with the continuous exploration of the mechanism of liver cancer， it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine （TCM） provides a unique perspective for the classification， diagnosis， and treatment of liver cancer with its comprehensive regulatory effects of multi-components， multi-targets， and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest， apoptosis， autophagy， et al， while the pro-cancerous mechanisms included promoting cancer cell proliferation， invasion and metastasis， immunosuppression， angiogenesis， et al. The TCM compounds intervening this pathway were sorted out， including Jianpi Huayu compound， Fuyang Baoyuan compound， Yipi Yanggan compound， Fuzheng Jiedu compound， compound Astragalus and Salvia， Biejia Jianwan， Dahuang Zhechong pill， and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea， Dendrobii Caulis， Gleditsia sinensis， and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids， alkaloids， glycosides， phenolics， terpenoids， polysaccharides， and other kinds of compounds. At the same time， it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells， blocking the cell cycle， and inhibiting liver cancer cell proliferation， migration， invasion， angiogenesis， immune escape， etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal， thereby exerting positive anti-tumor effects， opening up a new direction for the precise targeted treatment of liver cancer， and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.

Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β （TGF-β） regulates cell differentiation， proliferation， apoptosis， and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years， with the continuous exploration of the mechanism of liver cancer， it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine （TCM） provides a unique perspective for the classification， diagnosis， and treatment of liver cancer with its comprehensive regulatory effects of multi-components， multi-targets， and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest， apoptosis， autophagy， et al， while the pro-cancerous mechanisms included promoting cancer cell proliferation， invasion and metastasis， immunosuppression， angiogenesis， et al. The TCM compounds intervening this pathway were sorted out， including Jianpi Huayu compound， Fuyang Baoyuan compound， Yipi Yanggan compound， Fuzheng Jiedu compound， compound Astragalus and Salvia， Biejia Jianwan， Dahuang Zhechong pill， and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea， Dendrobii Caulis， Gleditsia sinensis， and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids， alkaloids， glycosides， phenolics， terpenoids， polysaccharides， and other kinds of compounds. At the same time， it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells， blocking the cell cycle， and inhibiting liver cancer cell proliferation， migration， invasion， angiogenesis， immune escape， etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal， thereby exerting positive anti-tumor effects， opening up a new direction for the precise targeted treatment of liver cancer， and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.

With the widespread application of deep learning technology in radiotherapy, increasing attention has been directed toward enhancing the precision and personalization of intelligent radiotherapy for osteosarcoma. This review summarizes the recent advances in the application of deep learning to osteosarcoma image preprocessing, automatic target volume delineation, dose prediction and treatment plan optimization, early efficacy assessment, and follow-up monitoring. Bottlenecks such as data sharing, model generalization, and interpretability are analyzed. This review aims to provide a comprehensive reference for technological iteration and clinical implementation in this field, as well as a scientific basis for the determination of future research directions and the development of standardized guidelines.

bjective　To analyze the drug resistance screening status and drug resistance influencing factors of high-risk groups of drug-resistant pulmonary tuberculosis in Qingdao, and to understand the inclusion of rifampicin patients in treatment, so as to provide a reference for the prevention and treatment of drug-resistant pulmonary tuberculosis. Methods　The medical records of 726 cases of drug-resistant pulmonary tuberculosis among high-risk populations registered in Qingdao from 2018 to 2022 were obtained from the National Health Insurance Information System of the China Center for Disease Control and Prevention. The drug resistance to five anti-tuberculosis drugs, namely isoniazid (INH), rifampicin (RFP), ethambutol (EMB), levofloxacin (Lfx), and amikacin (Am), in the high-risk populations of drug-resistant pulmonary tuberculosis was analyzed. Univariate and multivariate logistic regression were used toidentify factors influencing rifampicin resistance, and the detection and inclusion of treatment for rifampicin-resistant patients were evaluated. Results　Of the 726 subjects, 278 were drug-resistant, with a total drug resistance rate of 38.29%. The drug resistance for the five anti-tuberculosis drugs in descending order was: INH 25.90%(188/726), RFP 22.87%(166/726), Lfx 14.19%(103/726), EMB 11.29%(82/726), Am 2.48%(18/726). Analysis of the drug resistance spectrum showed that among those resistant to one drug, RFP was most common, accounting for 13.67% (38/278); among those resistant to two drugs, INH+RFP was predominant, accounting for 15.83% (44/278); among those resistant to three drugs, INH+RFP+Lfx was most frequent, at 7.19% (22/278); and among those resistant to four drugs, INH+RFP+EMB+Lfx was highest, at 6.12% (17/278). Multivariate logistic regression analysis of rifampicin resistance showed that compared with patients under 25 years of age, the risk of developing rifampicin resistance was lower in the groups aged 45 to under 65 and those aged 65 and above (OR=0.356, 95%CI: 0.181-0.700; OR=0.352, 95%CI: 0.170-0.729). Compared with migrant patients in other provinces, local patients from within the same county or district had a lower risk of developing rifampicin resistance (OR=0.599, 95%CI:0.383-0.962). Compared with patients who were smear-positive at the end of the second month of initial treatment, the risk of developing rifampicin resistance was higher in patients with relapse/return, failure of retreatment/chronic, and other categories of patients (OR=9.380, 95%CI:3.717-23.671;OR=25.749, 95%CI:8.037-82.490; OR=36.651, 95%CI:8.438-159.201). Conclusions　The situation of drug-resistant pulmonary tuberculosis in Qingdao cannot be ignored. Individuals under 25 years old, migrants from other provinces, and patients with relapse/return, failure of retreatment/chronic, and other categories are significant risk factors for developing rifampicin resistance in the high-risk groups of drug-resistant pulmonary tuberculosis.

OBJECTIVE To construct the simulated traditional Chinese medicine pharmacy based on virtual simulation technology， and assist in the development of the new mode of traditional Chinese medicine dispensing education training. METHODS The field research and questionnaire surveys were conducted to identify the needs of Chinese medicine students and practitioners for the content and presentation of knowledge on the construction of simulated traditional Chinese medicine pharmacy. Taking the laws and regulations on the construction of traditional Chinese medicine pharmacy and the related teaching materials and literature on traditional Chinese medicine preparation as the knowledge source， the virtual simulation technology was applied to build a simulated traditional Chinese medicine pharmacy so as to achieve the functions of browsing the traditional Chinese medicine pharmacy， learning the knowledge of traditional Chinese medicine preparation and practical skills training. A multi-site simulated traditional Chinese medicine pharmacy evaluation scale study was conducted based on platform operational testing. RESULTS A simulated traditional Chinese medicine pharmacy was constructed， consisting of four core modules： video teaching， animation video， simulated pharmacy， and simulated experience. The overall score of evaluation scale was 93.31， with all entries scoring above 80； the ones with evaluation scales above 90 accounted for 92.31% （60/65）. CONCLUSIONS Simulated traditional Chinese medicine pharmacy based on virtual simulation technology meets the learning needs of users and enhances the teaching effect of traditional Chinese medicine dispensing technology training.

Objective To analyze TCM master Yan Zhenghua's medication rules of ascending,descending,floating and sinking properties for the treatment of respiratory diseases,inherit his valuable academic experience.Methods Using four books edited by Professor Yan Zhenghua's disciples as the main source,Professor Yan Zhenghua's prescriptions for clinical treatment of respiratory diseases were systematically collected and analyzed.Statistical analysis was conducted on the patients'gender and age,differentiation of diseases and syndrome types of the prescriptions,as well as the properties of ascending,descending,floating and sinking,dosage,and commonly used pairs of Chinese materia medica.Results Totally 208 prescriptions were included in this study,involving 178 kinds of Chinese materia medica and 64 kinds of monarch drug,most of them were descending and sinking drug,and the whole prescription was mainly descending and sinking.On average,each prescription used 13.2 kinds of Chinese materia medica,and most dosage points were within the range of conventional dosage.Among later adding medicines,Houttuyniae Herba had the highest frequency of use.The medicinal pairs of Asteris Radix et Rhizoma-Cynanchi Stauntonii Rhizoma et Radix,Cynanchi Stauntonii Rhizoma et Radix-Stemonae Radix and Asteris Radix et Rhizoma-Stemonae Radix were often used.Armeniacae Semen Amarum,Fritillariae Thunbergii Bulbus,and Asteris Radix et Rhizoma were commonly used in those descending and sinking prescriptions.Conclusion In the treatment of respiratory diseases,Professor Yan Zhenghua prefers to use descending and sinking drugs with ascending and floating drugs and dual trend drugs to regulate qi activity,and has the characteristics of Menghe medical school,which is"mild and flexible medication".

Objective To investigate the beneficial effect of Kai-Xin-San combined with fluoxetine in improving depression-like behaviors on chronic unpredictable mild stress(CUMS)induced depression model mice.Methods The present study aimed to assess the potential of Kai-Xin-San in combination with fluoxetine to ameliorate depression-like behaviors in a CUMS induced mouse depression model.Behavioral tests,such as the sucrose preference test were employed to evaluate the efficacy of the treatment.Additionally,the levels of suppressed stress factors were measured using the ELISA method.The morphology of hippocampal tissue was evaluated using the HE staining method,Nissl Staining and TUNEL staining methods.Furthermore,western blotting analysis was utilized to determine the expression levels of proteins such as Caspase-3,and Caspase-9.Results The co-administration of Kai-Xin-San and fluoxetine resulted in a significant increase in sucrose preference rate in model mice.This effect was comparable to that of fluoxetine alone at the standard clinical dose.Furthermore,the combination treatment up-regulated the levels of suppressed stress factors,reduced the apoptosis of hippocampus induced by depression and regulated the apoptosis signaling pathway in hippocampus.Conclusion The combination of Kai-Xin-San and fluoxetine has been shown to be an effective treatment for depression-like behavior in animal models,resulting in a reduction in the required clinical dosage of fluoxetine.This effect may be attributed to the up-regulation of neurotransmitter expression,inhibition of stress axis activation,and central nervous inflammation.

TCM dispensing is the most basic clinical pharmaceutical work of TCM.In recent years,based on the 9 key technologies of TCM dispensing,the TCM dispensing industry has ushered in great development,and innovative TCM dispensing information system and intelligent dispensing equipment have appeared.This article sorted out the current situation of TCM dispensing industry and looked forward to its future development route.The results showed that the introduction of new technology and new equipment in the key technical links of procurement acceptance,dispensing review,TCM decocting,medication guidance and so on have improved the quality of dispensing service and ensured the quality and safety of medication.In the development of modern TCM dispensing industry,it is necessary to improve the quality control standard system,service standard system and core equipment standard system in the standardization of dispensing technology;in terms of talent cultivation in the field of dispensing,it is necessary to focus on restructuring and building new educational models to cultivate new medical talents that intersect medical and engineering fields;in terms of informatization and intelligence,it is necessary to develop intelligent equipment that is more in line with the characteristics of TCM,and further promote and improve the"shared TCM pharmacy"model.Through improving the content of TCM clinical pharmaceutical care,developing new technology and equipment of TCM dispensing,and improving the level of dispensing service and education,it is expected to gradually realize the standardization,informatization and intelligent development of modern TCM dispensing industry.

Background and Aims:Sonodynamic therapy(SDT)is an emerging tumor treatment method that primarily utilizes low-intensity ultrasound(US)to activate sonosensitizers,leading to the production of cytotoxic reactive oxygen species(ROS)that kill cells.This study was conducted with an attempt to develop a novel nanoparticle(NPs)formulation containing a sonosensitizer and the small interfering RNA(siRRS1)of tumor-related gene RRS1 to observe its anticancer effects on colon cancer,to provide new strategies for colon cancer treatment. Methods:RRS1 RNA-Seq data were downloaded from the TCGA and GEO databases,and clinical pathological data were collected from 80 patients with colon cancer at Hunan Provincial People's Hospital.The expression of RRS1 in colon cancer and its relationship with prognosis were analyzed.The proliferation and apoptosis of colon cancer cells transfected with siRRS1 were observed.The sonosensitizer tetra(4-carboxyphenyl)porphyrin(TCPP),gene carrier DSPE-PEI,and siRRS1 were assembled into TCPP@DSPE-PEI-siRRS1 NPs(T@D-siRRS1 NPs).After structural characterization and examination of cellular uptake and ROS generation capabilities in vitro,the anticancer effects of T@D-siRRS1 NPs on colon cancer were assessed in cell experiments and tumor-bearing mouse models. Results:Both database analysis and clinical specimen testing indicated that RRS1 expression in colon cancer tissues was higher than that in adjacent normal tissues,and high expression was associated with poor prognosis(HR=1.88,95％CI=1.27-2.79,P=0.002).Univariate and multivariate analyses showed that RRS 1 mRNA expression was an independent risk factor for overall survival in colon cancer patients(HR=1.354,95％CI=1.447-2.215,P=0.031).Knockdown of RRS1 significantly reduced the proliferation capacity of colon cancer cells and increased apoptosis(both P＜0.05).Characterization results showed that the particles were uniform and stable;T@D-siRRS1 NPs entered cells through endocytosis,where TCPP could generate singlet oxygen(1O2)under ultrasound irradiation.Subsequent in vitro and in vivo experimental results demonstrated that transfection with NPs carrying siRRS1 or TCPP(T@D-control siRNA,T@D-siRRS1)combined with US resulted in varying degrees of growth inhibition in colon cancer cells,with the T@D-siRRS1 NPs+US treatment showing the strongest effect(all P＜0.05).Moreover,no significant damage was observed in the vital organs of mice treated with T@D-siRRS1 NPs+US. Conclusion:T@D-siRRS1 NPs plus US integrate SDT and gene therapy,producing an effective synergistic cytotoxic effect on colon cancer cells.Additionally,T@D-siRRS1 NPs demonstrate good safety and biocompatibility,suggesting potential for clinical application.

In order to make the shared traditional Chinese medicine （TCM） pharmacy develop more efficiently and normatively at the grass-roots level， using the “shared TCM pharmacy” as the retrieval word， this paper uses the literature research method to retrieve the reports， documents and policies from CNKI， the websites of people’s governments at all levels， the official websites of the State Administration of Traditional Chinese Medicine， people.com， China News Network， Xinhua News and other platforms before May 20， 2022， sort out the development mode and history of two “Internet plus” TCM pharmacies， namely “shared TCM pharmacies” and “smart TCM pharmacies”， and compare them with each other. Combined with the actual work of community hospitals and community service centers （stations）， the necessity and advantages （such as reducing the costs of the intermediate links of drug circulation and standardizing the grass-roots drug use process） of the development of “shared TCM pharmacy” are obtained from the perspective of primary medical care. Combined with the current situation of the promotion and application of shared TCM pharmacy in county medical communities， it is concluded that the shared TCM pharmacy should be further constructed from four aspects： improving the work process of drug centralized procurement under the background of normalization， improving the compatibility and synchronization of the whole process dispensing information system module， unifying pharmaceutical services and personnel training， defining the authority of data query and clarifying the boundaries of patient privacy to further build a shared TCM pharmacy. Finally， it integrates information technology， summarizes the definition of shared TCM pharmacy and its future construction direction， and provides reference for the next development of shared TCM pharmacy at the grass-roots level.