OBJECTIVES: To investigate the synergistic mechanism of the traditional Chinese medicine Rosa laevigata Michx. (RLM) for treatment of pulmonary arterial hypertension (PAH). METHODS: Network pharmacological analysis was carried out to screen the active ingredients of RLM and PAH disease targets and construct the "component-target-disease" interaction network, followed by gene enrichment analysis and molecular docking studies. In the cell experiments, primary cultures of rat pulmonary arterial smooth muscle cells were exposed to hypoxia for 24 h and treated with solvent or 100, 200 and 300 mg/mL RLM, and the changes in cell proliferation were detected using Western blotting for PCNA and immunofluorescence staining. In the animal experiment, male SD rats were randomized into 5 control group, monocrotaline (MCT) solvent group, and MCT with RLM (100, 200 and 300 mg/mL) treatment groups. HE staining and immunofluorescence staining were used to observe histopathological changes in the pulmonary blood vessels of the rats. RESULTS: Seven core active ingredients (including β-sitosterol and kaempferol) in RLM and 39 key disease targets were identified, and molecular docking showed that SRC was a high-affinity target. KEGG enrichment analysis showed that the differential genes were significantly enriched in calcium signaling and PI3K-AKT pathways. In rat pulmonary arterial smooth muscle cells, hypoxic exposure significantly up-regulated cellular expression of PCNA and phosphorylation levels of Src and AKT1, which were obviously lowered by RLM treatment. In RLM-treated rat models, the mean pulmonary artery pressure and right ventricular hypertrophy index (Fulton index) were significantly reduced, the tricuspid annular plane systolic excursion (TAPSE) was improved, and pulmonary vascular wall thickening and fibrosis were obviously ameliorated. CONCLUSIONS RLM inhibits pulmonary arterial smooth muscle cell proliferation in rat models of hypertension possibly by regulating the Src-AKT1 axis, suggesting the potential of RLM as a new natural drug for treatment of pulmonary hypertension.
Animals ; Cell Proliferation/drug effects* ; Proto-Oncogene Proteins c-akt/metabolism* ; Rats, Sprague-Dawley ; Pulmonary Artery/cytology* ; Male ; Rats ; Myocytes, Smooth Muscle/cytology* ; Hypertension, Pulmonary/pathology* ; Drugs, Chinese Herbal/pharmacology* ; Signal Transduction/drug effects* ; Muscle, Smooth, Vascular/cytology* ; src-Family Kinases/metabolism* ; Cells, Cultured

Objective To analyze the influencing factors for poor prognosis in elderly patients with CHD and left ventricular dysfunction(LVD)treated by CABG,and to construct a logistic predic-tion model.Methods A total of 199 elderly CHD patients with LVD undergoing CABG in Zhu-jiang Hospital from April 2020 to April 2023 were retrospectively enrolled.After 1 year of follow-up,according to whether MACCE occurred after surgery,they were divided into MACCE group(24 cases)and non-MACCE group(175 cases).The clinical data were compared between the two groups.Multivariate logistic regression analysis was used to analyze the influencing factors for poor prognosis,and a logistic prediction model was constructed.Results The MACCE group had significantly larger proportions of hypertension,diabetes,chronic kidney disease,NYHA gradeⅢand multi-vessel disease,and smaller proportion of non-cardiopulmonary bypass than the non-MACCE group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that diabetes(OR=2.328,95％CI:1.469-3.690,P=0.000),NYH A grade(OR=2.181,95％CI:1.184-4.021,P=0.013),multi-vessel disease(OR=1.996,95％CI:1.187-3.355,P=0.009),and non-cardiopulmonary bypass(OR=0.660,95％CI:0.541-0.806,P=0.000)were independent influen-cing factors for poor prognosis in the patients after CABG.The AUC value of the constructed pre-diction model in predicting poor prognosis was 0.822(95％CI:0.721-0.923),with a sensitivity of 66.70％and a specificity of 80.60％.Conclusion Diabetes,NYHA grade,multi-vessel disease and non-cardiopulmonary bypass are independent influencing factors for poor prognosis in elderly CHD patients complicated with LVD after CABG.The constructed logistic prediction model has certain predictive value for poor prognosis in these elderly patients.

Objective To analyze the effect of the activation rate of peripheral blood monocytes on the recovery of patients after liver transplantation and to initially explore the possible influencing factors for differences in monocyte activation rates. Methods A total of 139 patients who underwent orthotopic liver transplantation from September 2020 to June 2023 at Department of Liver Surgery and Transplantation of Zhongshan Hospital, Fudan University were selected. The proportion of CD14^＋HLA-DR^＋ monocytes in peripheral blood was defined as the monocyte activation rate. The difference in monocyte activation rates between postoperative day 7 (POD7) and postoperative day 1 (POD1) was calculated as Δ, and patients were divided into Δ＞0 group (n＝73) and Δ＜0 group (n＝66). The two groups were compared in terms of complete blood count, liver and kidney function, coagulation indicators, infection indicators, ICU length of stay, total length of hospitalization, and 90-day mortality. Changes in the proportions of different monocytes subsets (Mo0, Mo1, Mo2, and Mo3) and HLA-DR expression in peripheral blood on POD1 and POD7 were detected using flow cytometry. Results The ICU length of stay in the Δ＜0 group was significantly longer than that in the Δ＞0 group (18[12, 26] days vs 14[10, 20.5] days, P＝0.018). On POD1, the proportion of Mo0 in the Δ＞0 group was significantly lower than that in the Δ＜0 group (P＜0.05); on POD7, the proportion of Mo0 in the Δ＞0 group was significantly lower than that in the Δ＜0 group (P＜0.001), while the proportions of Mo1, Mo2, and Mo3 were significantly higher than those in the Δ＜0 group (P＜0.001). Compared to POD1, the HLA-DR expression level of Mo0 in peripheral blood of patients with liver transplantation significantly decreased on POD7 (P＜0.01), while there was no significant difference in HLA-DR expression levels of Mo1, Mo2, and Mo3. Conclusions Increased proportion of Mo0 (CD14^lowCD16⁻HLA-DR^low) among peripheral blood monocyte subsets may be one of the influencing factors for the differences in monocyte activation rates in patients with liver transplantation. The difference in monocyte activation rate can serve as a new clinical indicator for assessing changes in the immune status and postoperative recovery of patients with liver transplantation.

ObjectiveCardiovascular diseases pose a major public health challenge in China. The burden of cardiovascular disease associated with high low-density lipoprotein cholesterol （LDL-C） has increased steadily nationwide. A comprehensive analysis of secular trends in cardiovascular disease burden and its determinants is crucial for developing targeted interventions and evidence-based health policies. MethodsBased on data from the Global Burden of Disease Study 2021， we analyzed the trends in deaths， disability-adjusted life years （DALYs）， age-standardized mortality rates （ASMR）， and age-standardized DALY rates （ASDR） of cardiovascular diseases attributable to high LDL-C in China from 1990 to 2021 using Joinpoint regression analysis. An age-period-cohort model was applied to assess the contributions of age， period， and cohort effects to changes in the cardiovascular disease burden attributable to high LDL-C. Projections of the high LDL-C-attributable cardiovascular disease burden in China from 2022 to 2030 were generated using a Bayesian age-period-cohort model. ResultsBetween 1990 and 2021， China saw a substantial rise in both deaths and disability-adjusted life years （DALYs） from cardiovascular disease linked to high LDL-C. Joinpoint regression revealed key turning points in this trend： an overall increase continued until 2004， after which the burden began to fall starting in 2011. Throughout this period， age-standardized mortality and DALY rates were consistently higher in males than in females. Age-period-cohort analysis further indicated that mortality and DALY rates due to high LDL-C increased almost exponentially with age， while period and cohort risks generally decreased over time. Projections suggest a continued decline in age-standardized mortality rates from LDL-C-related cardiovascular disease for both Chinese men and women by 2030. ConclusionRapid population growth and accelerated ageing in China emerge as primary drivers of the escalating cardiovascular diseases burden linked to elevated LDL-C. The burden of cardiovascular diseases is higher in men compared to women. By 2030， the burden of cardiovascular disease caused by high LDL-C in China will remain severe. These findings underscore the critical need for gender-specific screening protocols， age-tailored interventions， and personalized management frameworks to mitigate this public health challenge.

A qualitative analysis by high-performance liquid chromatography coupled with time-of-flight mass spectrometry (HPLC-QTOF-MS/MS) was performed for the identification of main constituents in Gentiana veitchiorum. High-performance liquid chromatography (HPLC) was developed for the quantification of seven major components, including loganic acid (1), swertiamarin (2), gentiopicroside (3), sweroside (4), isoorientin (5), isoscoparin (6), and gentiournoside A (7). A total of 42 compounds, including 31 flavonoids, and 11 Iridoids, were identified based on their retention behaviors, and MS fragment information. Furthermore, regression equations for these seven chemical components were established, with good linear relationships (r2 > 0.9999), and the sample recovery rate was 97.02%-103.08%. This method was successfully applied for simultaneous determination of seven components in 7 batches of G. veitchiorum samples by HPLC-UV method. The method established in this study is simple and reliable, capable of qualitatively and quantitatively analyzing the main chemical components of G. veitchiorum, and is applicable to its quality evaluation.

With the advancement of China's healthcare reform,enhancing the capacity of primary healthcare services has become a pivotal task.Colorectal cancer,one of the most prevalent malignancies in China,highlights the critical importance of early screening and diagnosis to improve patient survival rates.This study,guided by the principles of Party building and Xi Jinping Thought on Socialism with Chinese Characteristics,examines the implementation and outcomes of a rural outreach program focused on colorectal cancer screening and diagnostic technologies.By promoting the dissemination of colorectal cancer screening initiatives,the paper aims to provide empirical evidence to support the deepening of primary-care services,foster high-quality ad-vancement of grassroots health services,and align with the national Healthy China Initiative,thereby more effectively safeguarding population health.

Pancreatic cancer is a highly malignant tumor,and its incidence rate has been slowly increasing since 2000.Although the improvement of diagnosis and treatment has led to an increase in the five-year survival rate of pancreatic cancer compared to 50 years ago,it remains one of the discouraging tumor diseases regarding its prognosis.In 2024,many achievements were made in the research of early screening,disease mechanism,clinical diagnosis and treatment of pancreatic cancer,showing a good prospect for clinical application.In early screening,artificial intelligence(AI)technology has empowered early diagnosis and screening of pancreatic cancer,pushing clinical diagnosis and treatment to a new level.Additionally,improvements in the accuracy of technologies such as liquid biopsy have provided new directions for early screening of pancreatic cancer.In terms of research on disease pathogenesis,3D genome mapping technology has revealed the polyclonal origin and genetic heterogeneity of pancreatic intraepithelial neoplasm(PanIN).In basic research,a branched organ simulation system that mimics the unique structural characteristics of pancreatic cancer provides a new model for in vitro studies of pancreatic cancer.Lactate,an important tumor metabolite,links the metabolic microenvironment of pancreatic cancer with epigenetic changes,revealing potential therapeutic targets.Defects in the histone H3K36 trimethyltransferase SETD2 contribute to endogenous epigenetic dysregulation in pancreatic cancer and promote mitochondrial oxidative phosphorylation(OXPHOS)and tumor progression.The platelet-derived growth factor receptor(PDGFR)axis,which facilitates communication between stromal cells and cancer cells,forms a bidirectional secretory circuit and may become a new therapeutic target.Chimeric antigen receptor macrophage(CAR-M)therapy targeting the tyrosine kinase receptor c-MET demonstrates potential for synergistic enhancement with chemotherapy drugs.Macrophages in the pancreatic cancer microenvironment promote the development of pancreatic cancer cachexia through the CCL5/TRAF6/nuclear factor-κB(NF-κB)pathway,suggesting that macrophages could be an effective target for predicting and intervening in the development of pancreatic cancer cachexia.In terms of advancements in diagnosis and treatment,surgery following neoadjuvant chemotherapy can improve overall survival(OS)in resectable and borderline resectable patients,but further optimization of neoadjuvant chemotherapy protocols is needed.The first clinically effective KRASG12D-targeted drug has been reported,and research on inhibitors of a wide range of KRAS mutants is continually emerging.Patient stratification based on glycolysis-related scores(GRS)can further guide the selection of treatment protocols."Intelligent exosomes"(ExoSmart)enhance cellular uptake capacity to assist in improving chemotherapy efficacy.The implementation of clinical trials combining immunotherapy with chemotherapy is expected to synergistically improve the efficacy of pancreatic cancer treatment.Pembrolizumab and anlotinib combined with albumin-bound paclitaxel/gemcitabine(PAAG)have shown great efficacy and safety in first-line treatment of metastatic pancreatic cancer(mPC)patients.The cancer vaccine ELI-002 2P,which targets KRAS mutation-encoded neoantigens,can induce an antitumor immune response.Oncolytic adenovirus therapy can synergistically improve the efficacy of treatment in advanced pancreatic ductal adenocarcinoma patients when combined with chemotherapy.This article reviewed the latest major progress in the field of basic research and diagnosis and treatment of pancreatic cancer in 2024.

Objective To establish a method for predicting the risk of endometrial cancer(EC)and endometrial atypical hyperplasia(AH)in women with postmenopausal bleeding(PMB)by collecting clinical data on routine medical history.Methods The clinical data of a total of 408 PMB patients admitted to Fuxing Hospital,Capital Medical University were consecutively collected in this retrospective study from December 2013 to December 2023.According to the results of endometrial pathology,patients were divided into case group and control group.EC and AH were included in the malignant group(case group)and the other endometrial pathologies were included in the non-malignant group(control group).Clinical data,including clinical history,high risk factors,and common gynecological ultrasound measurement indicators,were collected and studied by univariate and multivariate Logistic regression analysis.Results The mean age of 408 patients was(60.4±7.8)years.A total of 74 cases(18.1％)were in case group and 334 cases(81.9％)were in control group.Based on Logistic regression analysis,the best predictors of endometrial malignant lesions were selected to create a"LRDNT"(light bleeding,recurrent bleeding,diabetes,non-uniform echogenicity & thickness)model.LRDNT scores range from 0 to 22.The score of LRDNT ≥15 has the largest Yoden index,and the sensitivity to predict endometrial malignant lesions is 79.73％,the specificity is 80.84％,and the prediction accuracy is 80.64％.Conclusions The risk prediction model LRDNT,which combines clinical information and common gynecological ultrasound measurement indicators of PMB patients,can help clinicians classify patients at high and low risk of endometrial malignant lesions,and optimize the strategy of diagnosis and treatment.

Objective The aim of this study was to develop a method for the determination of nine vulcanizing agents and accelerators in pharmaceutical rubber stoppers by headspace gas chromatography with sulfur chemiluminescence detector(HS-GC-SCD).Methods A DB-1 capillary column(30 m×0.32 mm×0.25 μm)was used with He as the carrier gas.The injection port temperature was 220 ℃,the split ratio was 10∶1,and the carrier gas flow rate was 1.5 mL·min-1.The temperature program was as follows:the starting temperature was 40 ℃,and it was increased to 60 ℃ at a rate of 5 ℃ per minute,and then to 260 ℃ at a rate of 15℃per minute.SCD detector parameters:base temperature was 280℃,combustion chamber temperature was 800 ℃,air flow rate was 60 mL·min-1,and hydrogen flow rate was 40 mL·min-1.Results The sample pretreatment method was simple and convenient,and it effectively reduced the extraction loss.The methodological results showed that all sulfides showed good linear relationships within the concentration range(r2≥ 0.990).The RSD was less than 2％;and the average recovery rate was 86.4％-97.5％.From the analysis of the sample test results,free sulfur is commonly found in rubber stoppers.Among all the samples of the vulcanization system,the free sulfur detected in the sulfur vulcanization system is higher than the free sulfur produced by degradation of other vulcanization systems.Conclusions This method is simple to operate,compared with other existing detection methods.HS-GC-SCD has a smaller matrix effect,higher sensitivity and selectivity,and is appropriate for quantifying the concentrations of sulfide present in various rubber stoppers.