This paper systematically reviews the current status of integrated traditional Chinese and western medicine in the treatment of Helicobacter pylori （Hp） infection， as well as recent progress in clinical and basic research both in China and internationally. It summarizes the advantages of traditional Chinese medicine （TCM） in Hp infection management， including improving Hp eradication rates， enhancing antibiotic sensitivity， reducing antimicrobial resistance， decreasing drug-related adverse effects， and ameliorating gastric mucosal lesions. These advantages are particularly evident in patients who are intolerant to bismuth-containing regimens， those with refractory Hp infection， and individuals with precancerous gastric lesions. An integrated， whole-process management approach and individualized， staged comprehensive treatment strategies combining TCM and western medicine are proposed for Hp infection. Future prevention and control of Hp infection should adopt an integrative Chinese-western medical strategy， emphasizing prevention， strengthening primary care， implementing proactive long-term monitoring， optimizing screening strategies， and advancing the development of novel technologies and mechanistic studies of Chinese herbal interventions. These efforts aim to provide a theoretical basis and practical pathways for the establishment and improvement of Hp infection prevention and control systems.

OBJECTIVES: To propose a hypothesis that aloe-emodin may inhibit scar tissue fibrosis through thrombospondin-1(THBS1)-PI3K-Akt pathway. METHODS: By cultivating fibroblasts derived from scar tissue after cleft palate surgery in humans, aloe emodin of different concentrations (10, 20, 30, 40 and 50 μmol/L) was added to the cells which activity was detected. At the same time, transcriptome sequencing was performed on scar tissue and cells, and bioinformatics methods were used to explore potential targets and signaling pathways of scar tissue fibrosis. RESULTS: Aloe-emodin had a concentration dependent inhibitory effect on fibroblast proliferation,with the 40 μmol/L concentration group showing the most significant effect. The results of tissue and cell sequencing indicated that differentially expressed genes were significantly enriched in extracellular matrix-receptor interaction pathway, and shared a common differential gene which was THBS1. The ORA analysis results indicated that differentially expressed genes, including THBS1, were significantly enriched in the PI3K-Akt signaling pathway. CONCLUSIONS Aloe emodin may inhibit the PI3K-Akt pathway by downregulating THBS1, thereby reducing the proliferation activity of fibroblasts derived from postoperative palatal scar tissue.
Thrombospondin 1/genetics* ; Humans ; Signal Transduction/drug effects* ; Fibroblasts/cytology* ; Proto-Oncogene Proteins c-akt/metabolism* ; Fibrosis ; Phosphatidylinositol 3-Kinases/metabolism* ; Cicatrix/metabolism* ; Cell Proliferation/drug effects* ; Anthraquinones/pharmacology* ; Cells, Cultured

Non-small cell lung cancer(NSCLC)accounts for the majority of lung cancer cases and remains the leading cause of cancer-related mortality worldwide.Firstly,this review explores the limitations of conventional therapies,chemotherapy,radiotherapy,and surgery,focusing on the development of drug resistance and significant toxicity that often hinder their efficacy.Thereafter,advancements in targeted therapies,such as immune checkpoint inhibitors(ICIs)and tyrosine kinase inhibitors(TKIs),are dis-cussed,highlighting their impact on improving outcomes for patients with specific genetic mutations,including c-ros oncogene 1 receptor tyrosine kinase(ROS1),anaplastic lymphoma kinase(ALK),and epidermal growth factor receptor(EGFR).Additionally,the emergence of novel immunotherapies and phytochemicals is examined,emphasizing their potential to overcome therapeutic resistance,particu-larly in advanced-stage diseases.The review also delves into the role of next-generation sequencing(NGS)in enabling personalized treatment approaches and explores the clinical potential of innovative agents,such as bispecific T-cell engagers(BiTEs)and antibody-drug conjugates(ADCs).Finally,we address the socioeconomic barriers that limit the accessibility of these therapies in low-resource settings and propose future research directions aimed at improving the long-term efficacy and accessibility of these treatments.

Notum, a negative feedback regulator of the Wnt signaling, has emerged as a promising target for treating glucocorticoid-induced osteoporosis (GIOP). This study showcases an efficient strategy for discovering the anti-Notum constituents from herbal medicines (HMs) as novel anti-GIOP agents. Firstly, a rapid-responding near-infrared fluorogenic substrate for Notum was rationally engineered for high-throughput identifying the anti-Notum HMs. The results showed that Bu-Gu-Zhi (BGZ), a known anti-osteoporosis herb, potently inhibited Notum in a competitive-inhibition manner. To uncover the key anti-Notum constituents in BGZ, an efficient strategy was adapted via integrating biochemical, phytochemical, computational, and pharmacological assays. Among all identified BGZ constituents, three furanocoumarins were validated as strong Notum inhibitors, while 5-methoxypsoralen (5-MP) showed the most potent anti-Notum activity and favorable safety profiles. Mechanistically, 5-MP acted as a competitive inhibitor of Notum via creating strong hydrophobic interactions with Trp128 and Phe268 in the catalytic cavity of Notum. Cellular assays showed that 5-MP remarkably promoted osteoblast differentiation and activated Wnt signaling in dexamethasone (DXMS)-challenged MC3T3-E1 osteoblasts. In dexamethasone-induced osteoporotic mice, 5-MP strongly elevated bone mineral density (BMD) and improved cancellous and cortical bone thickness. Collectively, this study constructs a high-efficient platform for discovering key anti-Notum constituents from HMs, while 5-MP emerges as a promising anti-GIOP agent.

Non-small cell lung cancer (NSCLC) accounts for the majority of lung cancer cases and remains the leading cause of cancer-related mortality worldwide. Firstly, this review explores the limitations of conventional therapies, chemotherapy, radiotherapy, and surgery, focusing on the development of drug resistance and significant toxicity that often hinder their efficacy. Thereafter, advancements in targeted therapies, such as immune checkpoint inhibitors (ICIs) and tyrosine kinase inhibitors (TKIs), are discussed, highlighting their impact on improving outcomes for patients with specific genetic mutations, including c-ros oncogene 1 receptor tyrosine kinase (ROS1), anaplastic lymphoma kinase (ALK), and epidermal growth factor receptor (EGFR). Additionally, the emergence of novel immunotherapies and phytochemicals is examined, emphasizing their potential to overcome therapeutic resistance, particularly in advanced-stage diseases. The review also delves into the role of next-generation sequencing (NGS) in enabling personalized treatment approaches and explores the clinical potential of innovative agents, such as bispecific T-cell engagers (BiTEs) and antibody-drug conjugates (ADCs). Finally, we address the socioeconomic barriers that limit the accessibility of these therapies in low-resource settings and propose future research directions aimed at improving the long-term efficacy and accessibility of these treatments.

Objective To investigate the spatial distribution patterns and environmental determinants of Lagotis brachystachya Maxim.,a keystone species in Tibetan medicine("Zhi Da Sa Zeng"),under contemporary climatic conditions in China;To provide references for the sustainable utilization of its resources and the ecological protection of alpine grassland areas.Methods Based on the maximum entropy model,the selected species distribution data and environmental factors were added to MaxEnt 4.3.1 software for modeling.The geographical detector was applied to quantify the factors influencing the spatial differentiation of the suitable areas,employing both factor detection and interaction detection functionalities.Additionally,an overlay analysis with land cover types was conducted to quantify the distribution characteristics of grassland within the potential suitable areas for Lagotis brachystachya Maxim..Results Under the current climatic conditions,dominant environmental drivers included elevation,monthly average temperature difference between day and night,average precipitation in June,wind speed in September,solar radiation in August,average precipitation in May,average precipitation in October,among which elevation demonstrated the strongest explanatory power(q=0.37)in habitat suitability analysis.The model prediction results showed that the potential suitable area for Lagotis brachystachya Maxim.was 5.31×105 km2.Considering the type of surface coverage,the main suitable habitat for Lagotis brachystachya Maxim.was grassland,with an area of 4.34×105 km2.The high suitable grassland of areas were mainly distributed in Qinghai Province(Yushu Tibetan Autonomous Prefecture,Huangnan Tibetan Autonomous Prefecture,Golog Tibetan Autonomous Prefecture,Hainan Tibetan Autonomous Prefecture,Haibei Tibetan Autonomous Prefecture),Sichuan Province(Ganzi Tibetan Autonomous Prefecture,Aba Qiang Autonomous Prefecture),Xizang Autonomous Region(Naqu City,Shigatse City,Changdu City),and Gansu Province(Gannan Tibetan Autonomous Prefecture).Conclusion This study can provide references for the protection of wild resources and the selection of domestication and cultivation areas for Lagotis brachystachya Maxim..

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

Objective To investigate the spatial distribution patterns and environmental determinants of Lagotis brachystachya Maxim.,a keystone species in Tibetan medicine("Zhi Da Sa Zeng"),under contemporary climatic conditions in China;To provide references for the sustainable utilization of its resources and the ecological protection of alpine grassland areas.Methods Based on the maximum entropy model,the selected species distribution data and environmental factors were added to MaxEnt 4.3.1 software for modeling.The geographical detector was applied to quantify the factors influencing the spatial differentiation of the suitable areas,employing both factor detection and interaction detection functionalities.Additionally,an overlay analysis with land cover types was conducted to quantify the distribution characteristics of grassland within the potential suitable areas for Lagotis brachystachya Maxim..Results Under the current climatic conditions,dominant environmental drivers included elevation,monthly average temperature difference between day and night,average precipitation in June,wind speed in September,solar radiation in August,average precipitation in May,average precipitation in October,among which elevation demonstrated the strongest explanatory power(q=0.37)in habitat suitability analysis.The model prediction results showed that the potential suitable area for Lagotis brachystachya Maxim.was 5.31×105 km2.Considering the type of surface coverage,the main suitable habitat for Lagotis brachystachya Maxim.was grassland,with an area of 4.34×105 km2.The high suitable grassland of areas were mainly distributed in Qinghai Province(Yushu Tibetan Autonomous Prefecture,Huangnan Tibetan Autonomous Prefecture,Golog Tibetan Autonomous Prefecture,Hainan Tibetan Autonomous Prefecture,Haibei Tibetan Autonomous Prefecture),Sichuan Province(Ganzi Tibetan Autonomous Prefecture,Aba Qiang Autonomous Prefecture),Xizang Autonomous Region(Naqu City,Shigatse City,Changdu City),and Gansu Province(Gannan Tibetan Autonomous Prefecture).Conclusion This study can provide references for the protection of wild resources and the selection of domestication and cultivation areas for Lagotis brachystachya Maxim..

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

Objective To investigate the expression of Midkine(MDK)in cholangiocarcinoma(CCA)and its value in predicting the prognosis of CCA,as well as the potential mechanism of the effect of MDK on the progression of CCA.Methods The data of CCA samples were obtained from TCGA database to analyze the difference in the expression of MDK between cancer tissue and paracancerous tissue and its association with clinical features,and the data collected from GEO database and 11 CCA patients who underwent surgical resection in The Fifth Medical Center of Chinese PLA General Hospital from June 2018 to September 2021 were used for validation.STRING and Cytoscape were used to construct a protein-protein interaction network,and gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were used to investigate the biological functions and tumor-related pathways involving MDK-related genes.In addition,TIMER and TISIDB databases were used to analyze the correlation between MDK expression and immune cell infiltration in CCA tissue.The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups,and the Fisher's exact test was used for comparison of categorical data between two groups.The Kaplan-Meier method was used to plot survival curves,and the Log-rank test was used for comparison between groups.The Spearman correlation analysis was used to investigate the correlation between two variables.Results The expression level of MDK in cancer tissue and paracancerous tissue of CCA patients was compared based on TCGA database,and the results of the non-paired and paired analyses showed that the expression level of MDK in CCA tumor tissue was significantly higher than that in paracancerous tissue(P<0.001).Transcriptome sequencing was performed for the tumor tissue and its corresponding paracancerous tissue from 11 CCA patients,and the results showed that the expression level of MDK in CCA tumor tissue was significantly higher than that in corresponding paracancerous tissue(P<0.01).High expression of MDK was associated with lymph node metastasis(P=0.045)and vascular invasion(P=0.044).Survival analysis showed that compared with the CCA patients with low MDK expression,the CCA patients with high MDK expression had significantly shorter overall survival time(χ2=5.30,P=0.028)and disease-specific survival time(χ2=6.25,P=0.019).The GO and KEGG enrichment analyses showed that the 30 MDK-related genes were closely associated with ubiquitin-mediated proteolysis and affected the prognosis of CCA patients.The TIMER analysis showed that the expression level of MDK was positively correlated with the infiltration of B cells(r=0.356,P=0.035 6)and dendritic cells(r=0.409,P=0.014 7)in tumor microenvironment of CCA;the TISIDB analysis showed that the expression level of MDK was positively correlated with CXCL16(r=0.465,P=0.004 67)and was negatively correlated with CXCL12(r=-0.389,P=0.019 7)and CXCR5(r=-0.393,P=0.018 5),and it was also negatively correlated with the immune checkpoint regulators VTCN1(r=-0.393,P=0.018 3),LTA(r=-0.380,P=0.022 7),and PVR(r=-0.350,P=0.037 3).Conclusion High expression of MDK is associated with poor prognosis in CCA patients,and MDK has the potential of being used as a molecular marker for predicting the prognosis of CCA.MDK may promote the development and progression of CCA by regulating ubiquitin-mediated proteolysis and the infiltration of B cells and dendritic cells.