ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Aim To establish a stable hepatic stellate cell ( HSC ) -specific G protein-coupled receptor kinase 2 ( GRK2 ) knockout mice and provide the important animal model for further studying the biological function of GRK2 in HSC. Methods The loxP-labeled Grk2 gene mouse (Grk2

The objective of this study was to analyze the effects on cell viability, apoptosis, and cell cycle of non-small cell lung cancer (NSCLC) A549 cells after intervention with Agrimonia pilosa (AP) and investigate Agrimonia pilosa anti-tumor activity in vitro. Meanwhile, liquid chromatography mass spectrometry (LC-MS) metabolomics technology was used to analyze the changes of cellular metabolites and metabolic pathways. The results of this study will provide a theoretical and experimental basis for investigating the mechanism of the effect of Agrimonia pilosa on non-small cell lung cancer A549 cells. The results showed that the cell nucleus of A549 cells crumpled and apoptosis occurred with the increase of drug concentration. The survival rate of the cells decreased, and the inhibition rate reached 21.5% and 91.74% under the low and high dose conditions, respectively. Lactate dehydrogenase (LDH) content increased (P < 0.05). Metabolomics results showed significant differences in metabolism between groups, thirty-three distinct metabolites including LysoPC(24:0/0:0), LysoPC(17:0/0:0) and PC(O-40:5) were deduced. The pathway enrichment showed that the Agrimonia pilosa plays an anti-tumor role mainly by regulating the metabolism of glycerophosphate and purine in A549 cells, in which the effect on glycerophosphate metabolism pathway was most significant. The results of combined pharmacodynamics suggested that Agrimonia pilosa might induce apoptosis and inhibit the growth of A549 cells by regulating LysoPC(24:0/0:0), LysoPC(17:0/0:0) and PC(O-40:5) metabolites in A549 cells.

OBJECTIVE To design pharmaceutical care pathway for the problems related to chemotherapy， and to evaluate whether it contributes to the detection and intervention of drug-related problems （DRPs） in chemotherapy patients. METHODS The pharmaceutical care pathway table and flow charts were constructed and implemented by pharmaceutical care practice experience. The patients who were admitted to our hospital for chemotherapy before and after the implementation of the pharmaceutical care pathway were divided into control group （before the implementation，60 cases） and observation group （after the implementation，64 cases）， respectively； the relevant medical records of patients in the control group were extracted to evaluate DRPs， and pharmaceutical care of chemotherapy-related problems was performed for patients in observation group to extract DRPs. The basic condition， chemotherapy condition， DRPs classification and intervention status， adverse reactions induced by chemotherapy， PCNE classification of DRPs， occurrence time of DRPs， and drug classes related to DRPs were compared between 2 groups. RESULTS There was no statistical significance in the basic situation， chemotherapy regimen and chemotherapy drug category between the two groups （P＞0.05）. DRPs occurred in 46 and 37 patients in control group and observation group， respectively. In both groups， DRPs mainly occurred during chemotherapy， and mainly in the early stage of chemotherapy. Using the new pathway， the detection of DRPs significantly increased from 52.17% in the control group to 91.89% in the observation group （P＜0.05）. The successful intervention rate of DRPs was significantly increased from 32.61% in the control group to 72.97% in the observation group （P＜ 0.05）. The incidence of adverse drug reactions significantly decreased from 28.33% in the control group to 12.50% in the observation group（P＜0.05）. The main problem type of DRPs in the control group was treatment effectiveness， which mainly involved adjuvant antitumor drugs， mainly due to the use of adjuvant anti-tumor drugs for off-label prescribing； that of the observation group was treatment effectiveness and treatment safety， which mainly involved vomiting drugs， mainly due to insufficient medication to prevent nausea and vomiting caused by chemotherapy. CONCLUSIONS The implementation of the pathway helps clinical pharmacists to detect and intervene in DRPs among chemotherapy patients， and reduces the occurrence of chemotherapy-induced adverse reactions.

Objective This study aimed to investigate the correlation between insulin resistance score after insulin treatment in elderly patients with coronary heart disease and type 2 diabetes mellitus and cardiovascular outcomes.Methods Elderly patients with coronary heart disease complicated with type 2 diabetes mellitus were selected as the study subjects.All enrolled patients received insulin treatment with an initial dose of 3 U,administered subcutaneously before meals.The total daily dose of insulin was controlled at 0.3-0.8 U·kg-1.The occurrence of major adverse cardiovascular events(MACE)was recorded,and the correlation between insulin resistance score(METS-IR)and cardiovascular outcomes,as well as the predictive value for the occurrence of adverse cardiovascular events was analyzed.Results Before and after insulin treatment in elderly patients with coronary heart disease and type 2 diabetes mellitus,the average body mass index(BMI)were(26.03±3.12)and(25.23±0.02)kg·m-2,triglycerides(TG)were(123.60±21.46)and(113.70±19.75)mg·dL-1,total cholesterol(TC)were(155.80±14.19)and(153.40±13.98)mg·dL-1,low-density lipoprotein cholesterol(LDL-C)were(94.58±9.85)and(91.74±9.56)mg·dL-1,high-density lipoprotein cholesterol(HDL-C)were(46.02±4.47)and(49.73±4.83)mg·dL-1,and fasting blood glucose(FBG)were(98.55±10.58)and(93.62±10.05)mg·dL-1,respectively.The METS-IR scores were 39.26±4.80 and 36.89±4.50,respectively.Except for plasma TC,the differences in the above indicators before and after treatment were statistically significant(all P＜0.05).Among the enrolled patients,a total of 48 cases(22.2％)experienced MACE,including 23 cases of hypertension,14 cases of angina pectoris,8 cases of hospitalization for myocardial infarction,3 cases of hospitalization for heart failure.Spearman correlation analysis showed that METS-IR was significantly positively correlated with the incidence of adverse cardiovascular events(P＜0.01).ROC curve analysis indicated that METS-IR had a high predictive value for the occurrence of MACE in elderly patients with coronary heart disease and type 2 diabetes mellitus.Conclusion After insulin treatment in elderly patients with coronary heart disease and type 2 diabetes mellitus,METS-IR was significantly positively correlated with the incidence of adverse cardiovascular events and had good predictive value for cardiovascular outcomes.

Objective To compare the effects of 20 mg qd and 10 mg bidadministration of iprrazole enteric-coated tablets on the control of gastric acid in healthy subjects.Methods A randomized,single-center,parallel controlled trial was designed to include 8 healthy subjects.Randomly divided into 2 groups,20 mg qd administration group:20 mg enteric-coated tablets of iprrazole in the morning;10 mg bid administration group:10 mg enteric-coated tablets of iprrazole in the morning and 10 mg in the evening.The pH values in the stomach of the subjects before and 24 h after administration were monitored by pH meter.The plasma concentration of iprazole after administration was determined by HPLC-MS/MS.The main pharmacokinetic parameters were calculated by Phoenix WinNonlin(V8.0)software.Results The PK parameters of iprrazole enteric-coated tablets and reference preparations in fasting group were as follows:The Cmax of 20 mg qd group and 10 mg bid group were(595.75±131.15)and(283.50±96.98)ng·mL-1;AUC0-t were(5 531.94±784.35)and(4 686.67±898.23)h·ng·mL-1;AUC0-∞ were(6 003.19±538.59)and(7 361.48±1 816.77)h·ng·mL-1,respectively.The mean time percentage of gastric pH＞3 after 20 mg qd and 10 mg bid were 82.64％and 61.92％,and the median gastric pH within 24 h were 6.25±1.49 and 3.53±2.05,respectively.The mean gastric pH values within 24 h were 5.71±1.36 and 4.23±1.45,respectively.The correlation analysis of pharmacokinetic/pharmacodynamics showed that there was no significant correlation between the peak concentration of drug in plasma and the inhibitory effect of acid.Conclusion Compared with the 20 mg qd group and the 10 mg bid group,the acid inhibition effect is better,the administration times are less,and the safety of the two administration regimes is good.

Objective To investigate the therapeutic effect and mechanism of paeoniflorin(PAE)on thrombosis angiitis obliterans(TAO)in rats.Methods TAO rat model was established by sodium laurate injection.Rats were randomly divided into sham operation group(intraperitoneal injection of 0.9％NaCl),model group(intraperitoneal injection of 0.9％NaCl),experimental-L,-H groups(intraperitoneal injection of PAE 5,20 mg·kg-1·d-1),experimental-H+agonist group(intraperitoneal injection of 20 mg·kg-1·d-1 PAE+caudal vein injection of 10 ng·mL-1·kg 1·d-1 740 Y-P).Thrombin time(TT)was measured by magnetic bead coagulation;the levels of interleukin(IL)-1 β and endothelin 1(ET-1)were detected by enzyme-linked immunosorbent assay kit;the expression levels of phosphatidylinositol 3-kinase(PI3K),phosphorylated-PI3K(p-PI3 K),protein kinase B(AKT),p-AKT,nuclear factor(NF)-κB p65,p-NF-κB p65 were detected by Western blotting.Results The TT of sham operation group,model group,experimental-L,-H groups and experimental-H+agonist group were(14.88±1.32),(10.02±0.95),(12.65±1.22),(14.70±1.36)and(10.64±1.21)s;IL-1β were(154.23±13.45),(356.69±31.17),(268.62±23.58),(199.64±20.87)and(337.48±31.46)pg·mL-1;ET-1 were(6.78±0.68),(14.43±1.14),(11.23±1.07),(8.20±0.81)and(13.33±1.27)pg·mL-1;p-PI3K/PI3K were 0.36±0.04,0.76±0.07,0.59±0.05,0.44±0.04 and 0.69±0.07;p-AKT/AKT were 0.52±0.05,0.90±0.09,0.74±0.08,0.61±0.06 and 0.86±0.08;p-NF-κB p65/NF-κB p65 were 0.28±0.03,0.95±0.04,0.69±0.07,0.35±0.05 and 0.87±0.08,respectively.There were statistically significant differences between model group and sham operation group(all P＜0.05);the above indexes in experimental-L group and experimental-H group were significantly different from those in medel group(all P＜0.05);the above indexes in experimental-H+agonist group were significantly different from those in experimental-H group(all P＜0.05).Conclusion PAE may improve disease progression in TAO rats by inhibiting the PI3K/AKT/NF-κB signaling pathway.

Objective To study the pharmacokinetics and bioequivalence of two formulations of rasagiline mesylate tablets in healthy subjects under fasting and fed conditions.Methods The two-period,two-sequence,crossover study design was adopted in the fasting study.Thirty-six subjects were enrolled and given either test preparation or reference preparation 1 mg respectively in two periods.After collecting plasma samples,the plasma concentration of rasagiline was determined by liquid chromatography-tandem mass spectrometry(LC-MS/MS)and the bioequivalence was evaluated using the average bioequivalence(ABE)method.The four-period,two-sequence,fully replicate crossover study design was adopted in the fed study.Forty-eight subjects were enrolled and given the test preparation or the reference preparation at a dose of 1 mg twice respectively in four periods.According to the degree of intra-individual variation of Cmax,AUC0-t and AUC0-∞,the equivalence was evaluated using the reference-scaled average bioequivalence and ABE method,respectively.Results In the fasting study,the pharmacokinetic parameters of rasagiline of the test and reference preparation were as follow:Cmax were(9.70±3.14)and(9.62±3.85)ng·mL-1,AUC0-t were(6.03±1.47)and(6.02±1.95)ng·h·mL-1,AUC0-∞ were(6.13±1.51)and(6.12±1.97)ng·h·mL-1.The 90％confidence interval(CI)of the geometric mean ratio(GMR)were 94.11％-118.06％,99.22％-107.74％and 99.16％-107.44％for Cmax,AUC0-t and AUC0-∞,respectively,which were within the acceptance criteria of 80.00％-125.00％.In the fed study,the pharmacokinetic parameters of rasagiline of the test and reference preparation were as follow:Cmax were(3.00±1.92)and(3.52±1.77)ng·mL-1,AUC0_t were(5.02±1.20)and(5.06±1.20)ng·h·mL-1,AUC0-∞ were(5.11±1.23)and(5.14±1.22)ng·h·mL-1.The 90％CI of GMR were 96.99％-101.19％and 97.17％-101.41％for AUC0-t and AUC0-∞,which were within the acceptance criteria of 80.00％-125.00％.The 95％upper confidence bound of Cmax for were less than"0",and the point estimate of GMR were within the acceptance criteria of 80.00％-125.00％.The incidence of adverse events in fasting and fed studies was 22.86％and 22.92％,respectively,and all adverse events were moderate to mild.Conclusion The two rasagiline mesylate tablets were bioequivalent,and both the formulations were well tolerated.

Objective:To explore the influence of environment temperature on the incidence of testicular torsion.Methods:We collected the clinical data on 172 cases of testicular torsion diagnosed in the Second Hospital of Hebei Medical University from De-cember 2013 to December 2020.According to the local environment temperature on the day of onset,we divided the patients into groups A(below 0℃),B(0-10℃),C(10-20℃)and D(above 20℃),and compared the incidence rates of testicular torsion among the four groups,followed by correlation analysis.Results:The incidence rate of testicular torsion was 12.8％(n=22)in group A,35.5％(n=61)in B,34.9％(n=60)in C and 16.9％(n=29)in D,the highest at 0-10℃ in group B,with sta-tistically significant difference among the four groups(x2=29.07,P＜0.001).Spearman correlation analysis indicated that the inci-dence of testicular torsion was negatively correlated with the environment temperature(r=-0.261,P＜0.01),with no statistically significant difference among different seasons(x2=5.349,P＞0.05),but higher in autumn and winter than in the other two sea-sons.Conclusion:The incidence of testicular torsion is negatively correlated with the environment temperature,elevated when the temperature decreases,but has no statistically significant difference among different seasons,though relatively higher in autumn and winter.

AIM To study the chemical constituents from Solanum lyratum Thunb.and their anti-tumor activities.METHODS The extract from S.lyratum was isolated and purified by silica gel column chromatography and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The anti-tumor activities were determined by MTT mothod.RESULTS Twenty-one compounds were isolated and identified as royleanone(1),dinbutyl phthalate(2),dipentyl phthalate(3),sativan(4),2′,4′-dihydroxy-chalcone(5),isopetasin(6),balanophonin(7),10-eicosenoic acid(8),4,6,7-trimethoxy-5-methyl-coumarin(9),hydroxydihydrobovolide(10),axillarin(11),xanthocyanin(12),magnoflorine(13),verlinic acid(14),apigenin(15),luteolin(16),7-ketositosterol(17),pinoresinol(18),bavachinine(19),bisbenzopyran(20),isotachioside(21).The IC50 values of compounds 6-7,11 and 18-19 ranged from(28.37±3.71)to(73.26±8.61)μmol/L.CONCLUSION All the compounds are first isolated from this plant.Compounds 6-7,11 and 18-19 have certain anti-tumor activities.