Aim To systematically investigate the ac-tive components,targets,and regulatory pathways of Po-lygonum capitatum in intervening atherosclerosis(AS)through network pharmacology,molecular docking and animal experiments.Methods Active components of Polygonum capitatum and AS-related targets were screened and identified through database searches.Protein-protein interaction(PPI)network analysis was performed using the STRING database,followed by GO and KEGG enrichment analyses via the David plat-form.Molecular docking validation was conducted with AutoDock.An AS model was established in Syrian golden hamsters fed a high-fat diet.Predicted pathways and targets were validated using qPCR,ELISA,and histopathological assessment of aortic and hepatic tis-sues via HE staining.Results Network pharmacology identified 27 potential active components of Polygonum capitatum(primarily flavonoids such as quercetin and luteolin)and 110 drug-disease intersection targets,in-cluding core targets MMP-9,ALB,and AKT1.GO and KEGG analyses enriched 593 and 125 pathways,re-spectively,with the NF-κB inflammatory pathway,TNF signaling pathway and lipid metabolism/atherosclerosis pathways highlighted as key mechanisms.Animal ex-periments demonstrated that Polygonum capitatum im-proved serum lipid profiles(reduced TC,TG,LDL-C)in AS hamsters,suppressed the MMP-9/NF-κB signa-ling pathway(downregulated MMP-9,p65 phosphoryla-tion,TNF-α,and IL-6),and inhibited VSMC synthetic phenotypic transformation(upregulated α-SMA and myocardin)by downregulating MCPIP1.Additionally,Polygonum capitatum ameliorated aortic lesions and he-patic lipid deposition in AS hamsters.Conclusions Polygonum capitatum alleviates AS by synergistically regulating the MMP-9/NF-κB/MCPIP1 axis through flavonoid components,suppressing vascular inflammato-ry cascades and maintaining VSMC contractile pheno-types.This reflects Polygonum capitatum's multi-com-ponent,multi-pathway,and multi-target characteristics in combating AS.

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

Big Data ; Humans ; Data Management

Aim To systematically investigate the ac-tive components,targets,and regulatory pathways of Po-lygonum capitatum in intervening atherosclerosis(AS)through network pharmacology,molecular docking and animal experiments.Methods Active components of Polygonum capitatum and AS-related targets were screened and identified through database searches.Protein-protein interaction(PPI)network analysis was performed using the STRING database,followed by GO and KEGG enrichment analyses via the David plat-form.Molecular docking validation was conducted with AutoDock.An AS model was established in Syrian golden hamsters fed a high-fat diet.Predicted pathways and targets were validated using qPCR,ELISA,and histopathological assessment of aortic and hepatic tis-sues via HE staining.Results Network pharmacology identified 27 potential active components of Polygonum capitatum(primarily flavonoids such as quercetin and luteolin)and 110 drug-disease intersection targets,in-cluding core targets MMP-9,ALB,and AKT1.GO and KEGG analyses enriched 593 and 125 pathways,re-spectively,with the NF-κB inflammatory pathway,TNF signaling pathway and lipid metabolism/atherosclerosis pathways highlighted as key mechanisms.Animal ex-periments demonstrated that Polygonum capitatum im-proved serum lipid profiles(reduced TC,TG,LDL-C)in AS hamsters,suppressed the MMP-9/NF-κB signa-ling pathway(downregulated MMP-9,p65 phosphoryla-tion,TNF-α,and IL-6),and inhibited VSMC synthetic phenotypic transformation(upregulated α-SMA and myocardin)by downregulating MCPIP1.Additionally,Polygonum capitatum ameliorated aortic lesions and he-patic lipid deposition in AS hamsters.Conclusions Polygonum capitatum alleviates AS by synergistically regulating the MMP-9/NF-κB/MCPIP1 axis through flavonoid components,suppressing vascular inflammato-ry cascades and maintaining VSMC contractile pheno-types.This reflects Polygonum capitatum's multi-com-ponent,multi-pathway,and multi-target characteristics in combating AS.

Objective:To investigate the clinical efficacy and safety of venetoclax(VEN)in combination with hypomethylating agent(HMA)in the treatment of patients with high-risk myelodysplastic syndromes(MDS).Methods:A total of 30 patients with high-risk MDS who received the combination of VEN and HMA from March 2019 to November 2022 were included.The overall response rate(ORR),modified overall response rate(mORR),overall survival(OS),progression-free survival(PFS),and adverse events of all included patients were evaluated.Results:Among the 30 high-risk MDS patients treated with VEN combined with HMA regimen,24 cases achieved complete response(CR)/marrow complete response(mCR),2 cases achieved partial response(PR),the ORR was 24/30,the median OS was 28.1 months,and the median PFS was 28.1 months.In addition,patients who achieved complete remission/marrow complete remission after treatment had a significantly longer OS than those who did not.Moreover,12 patients were treated with allogeneic hematopoietic stem cell transplantation(allo-HSCT).There were grade 3 or higher hematologic adverse events including thrombocytopenia(14 cases),neutropenia(14 cases),febrile neutropenia(10 cases)and anemia(7 cases)as well as gastrointestinal adverse events of any grade,such as vomiting(7 cases),diarrhea(5 cases),and constipation(4 cases).Conclusion:VEN in combination with HMA is an effective and safe treatment option in patients with high-risk MDS.This regimen combined with allo-HSCT can improve the prognosis of these patients.Continuous attention to the monitoring and management of adverse events is essential for the patients'safety in this combination therapy.

Introduction: On a global scale, breast cancer contributes the highest cancer-related deaths in women due to metastasis which renders the treatments ineffective and non-targeted. The members of Matrix Metallopeptidases, particularly Matrix Metallopeptidase 2 (MMP2), are among the key players in breast cancer metastasis. In most cases, MMP2 was markedly upregulated and linked to poor prognosis. In a previous study, in silico analyses revealed that several coding single nucleotide polymorphisms (SNPs) of MMP2 were shown to reduce gene expression and mRNA stability of MMP2 in Malaysian breast cancer patients. Therefore, to validate the in silico predictions, the objective of this study was to determine the effects of multiple coding SNPs of MMP2 on the gene expression and mRNA stability of MMP2 in breast cancer cells. Methods: In the current study, breast adenocarcinoma MCF7 cells were transfected with MMP2 wild type and variant containing the coding SNPs. After confirmation of transfection by DNA sequencing, the gene expression level of MMP2 was evaluated by quantitative reverse transcription polymerase chain reaction (RT-qPCR) whereas mRNA stability of MMP2 was determined following treatment with actinomycin D. Results: MMP2 wild type and variant were successfully transfected in MCF7 cells based on sequencing and PCR analysis. It was found that the presence of coding SNPs lowered the gene expression level of MMP2, but not the stability of MMP2 mRNA. Conclusion: This study supports the in silico effects of MMP2 coding SNPs on its gene expression in an in vitro model.

The National Medical Products Administration have become an official applicant of the Pharmaceutical Inspection Co-operation Scheme(PIC/S)in 2023,and the good manufacturing practice appendix and inspection memorandum are key documents of PIC/S.Based on the analysis of the history,framework and main contents of the appendix and inspection memorandum of PIC/S investigational medicinal products,this paper discusses the key contents of the appendix and inspection memorandum of PIC/S clinical trial drugs,and provides reference for the inspection work.

Objective To study the bioequivalence of test and reference olmesartan tablet in Chinese healthy subjects after single dose under fasting and fed conditions.Methods A single-center,random,open,single-dose,two-preparations,double-period,crossover study was adopted.A total of 48 healthy adult male and female subjects(24 cases of fasting test and 24 cases of fed test)were included in the random crossover administration.Single oral dose 20 mg of test and reference were taken under fasting and postprandial conditions,respectively.Plasma concentration of olmesartan in plasma were determined by liquid chromatography tandem mass spectrometry.The main pharmacokinetic parameters were calculated by Phoenix WinNonlin 8.0 software.Results The main pharmacokinetic parameters of the test and reference preparations of olmesartan tablets in the fasting group were as follows:Cmax were(653.06±133.53)and(617.37±151.16)ng·mL-1,AUC0-t were(4 201.18±1 035.21)and(4 087.38±889.99)ng·mL-1·h,AUC0-∞ were(4 254.30±1 058.90)and(4 135.69±905.29)ng·mL-1·h.The main pharmacokinetic parameters of the test and reference preparations of olmesartan tablets in the postprandial group were as follows:Cmax were(574.78±177.05)and(579.98±107.74)ng·mL-1,AUC0-t were(3 288.37±866.06)and(3 181.51±801.06)ng·mL-1·h,AUC0-∞ were(3 326.11±874.26)and(3 242.01±823.09)ng·mL-1·h.Under fasting and postprandial conditions,the 90％confidence intervals of the main pharmacokinetic parameters of the test and reference preparations are both 80.00％-125.00％.Conclusion Under fasting and postprandial conditions,a single oral dose of test and reference preparations olmesartan tablets in Chinese healthy adult volunteers showed bioequivalence.

Objective To investigate the epidemiological characteristics and spatial distribution characteristics of Clonorchis sinensis human infections in Guangdong Province from 2016 to 2022, so as to provide insights into formulation of the clonorchiasis control measures in the province. Methods Xinhui District of Jiangmen City, Longmen County of Huizhou City and Wengyuan County of Shaoguan City in Guangdong Province were selected as fixed surveillance sites for human clonorchiasis from 2016 to 2022, and additional 10% to 15% counties (districts) endemic for clonorchiasis were sampled from Guangdong Province as mobile surveillance sites each year from 2016 to 2022. A village (community) was randomly selected from each surveillance site according to the geographical orientations of east, west, south, north and middle, and subjects were randomly sampled from each village (community). C. sinensis eggs were detected in subjects’ stool samples using the Kato-Katz technique, and the prevalence and intensity of C. sinensis infections were calculated. In addition, subjects’ gender, age, ethnicity, educational level and occupation were collected. The Guangdong Provincial 1:1 million electronic map in vector format was downloaded from the National Geomatics Center of China, and kernel density analysis and spatial autocorrelation analysis of C. sinensis human infections in Guangdong Province from 2016 to 2022 were performed using the software ArcGIS 10.7. Results A total of 153 188 residents were tested for C. sinensis infections in Guangdong Province from 2016 to 2022, including 75 596 men (49.35%) and 77 592 women (50.65%), and there were 5 369 residents infected with C. sinensis, with 3.50% overall prevalence of infections. The prevalence rates of severe, moderate and mild C. sinensis infections were 0.76%, 7.26% and 91.97% among C. sinensis-infected residents in Guangdong Province from 2016 to 2022, and there were age-, gender-, ethnicity-, occupation- and educational level-specific prevalence of C. sinensis human infections (χ² = 2 578.31, 637.33, 52.22, 2 893.28 and 1 139.33, all P values < 0.05). Global spatial autocorrelation analysis showed a cluster in the prevalence of C. sinensis human infections in Guangdong Province (Moran’s I = 0.63, Z = 27.31, P < 0.05). Kernel density analysis showed that the prevalence of C. sinensis human infections with a high kernel density in Guangdong Province was mainly distributed along the Zhujiang River basin in Pearl River Delta areas, followed by in eastern and northern Guangdong Province. In addition, local spatial autocorrelation analysis identified 73 high-high clusters of the prevalence of C. sinensis human infections in Guangdong Province. Conclusions The prevalence of C. sinensis human infections was high in Guangdong Province from 2016 to 2022, and mild infection was predominant among all clonorchiasis cases, with spatial clusters identified in the prevalence of C. sinensis human infections. Targeted clonorchiasis control measures are required among high-risk populations and areas.

Objective:To explore the potential value of endoplasmic reticulum stress-related genes(ERSRGs)in assessing the prognosis of breast cancer patients,and to construct a risk scoring model and a prognostic nomogram.Methods:ERSRGs were retrieved from the Genecards data-base,and three machine learning algorithms,namely"LASSO","RF",and"Xgboost",were used in the TCGA database to screen for core prognostic genes and establish a corresponding risk scoring model.The model was externally validated using the GSE20685 and GSE86166 datasets.Based on the risk scoring model,nomograms were further constructed to predict the 3-year and 5-year overall survival(OS)rates of breast cancer patients.The expression of the model genes at the pro-tein and single-cell levels was assessed through the Human Protein Atlas(HPA)and a single-cell sequencing dataset(GSE176078).Results:A total of 1301 ERSRGs were screened from the Genecards database.Among them,237 ERSRGs were differentially expressed between breast cancer and normal tissues.Univariate Cox regression analysis revealed that 22 ERSRGs were as-sociated with the prognosis of breast cancer patients.Through the three machine learning algo-rithms of LASSO,RF,and Xgboost,five ERSRGs(MAP2K6,IFNG,VIM,TH,CEMIP)were identi-fied as core genes related to the prognosis of breast cancer,and an ERSRGs-related risk scoring model and prognostic nomogram were constructed.Both internal and external dataset validations showed significant differences among patients in different risk groups.The C-index,ROC curve,and calibration curve all indicated that the nomogram had good predictive performance.Conclu-sion:In this study,the nomogram constructed based on the ERSRGS-related risk score model can accurately predict the prognosis of breast cancer patients,which can provide certain reference for clinical diagnosis,treatment and the development of new tumor therapeutic targets.