Objective To investigate the safety and efficacy of holmium laser transurethral enucleation of the prostate (HoLEP) for large volume of prostatic hyperplasia (BPH) with navigation of ultrasonic anatomical landmarks.Methods Data of 242 patients with BPH (≥ 80 cm3) underwent domestic HoLEP from Jan.2016 to Jan.2018 were retrospectively analyzed.General data,IPSS,QOL,prostate volume,PSA were assessed.Their average volume of prostate was (103.2 ± 21.4) cm3,the average PSA was (2.6 ± 1.4) ng/ml,the residual urine volume was (105 ± 75) ml,Qmax was (6.4 ± 5.2) nd/s,IPSS score was 22.5 ± 5.3 and QOL score was 4.8 ± 1.2.Result All patients were completed the operation successfully and their LUTS indicators were greatly improved.The enucleation time was between 25 and 80 min,average (49.0 ± 12.2) min;the mass of wet weight of gland was (70.5 ± 15.3) g;the removal efficiency was (1.6 ±0.3) g/min.The IPSS score dropped to 14.8 ± 6.5,P ＜ 0.01;QOL score dropped to 2.6 ± 1.5,P ＜ 0.01;PSA dropped to (1.1 ± 1.2) ng/ml,P ＜ 0.01;the maximum urinary flow rate growth to (16.5 ±7.1) ml/s,P ＜0.01.Conclusion For large volume of prostatic hyperplasia,holmium laser transurethral enucleation with ultrasonic navigation surgery is safe and efficient.

Objective To analyze the core functional component groups(CFCG)in Yinchenhao Decoction(YCHD)and their possible pathways for treating hepatic fibrosis based on network pharmacology.Methods PPI data were extracted from DisGeNET,Genecards,CMGRN and PTHGRN to construct a weighted network using Cytoscape 3.9.1.The data of the chemical components in YCHD were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and the potential active components and targets were selected using PreADMET Web server and SwissTargetPrediction.A fusion model was constructed to obtain the functional effect space and evaluate the effective proteins to identify the CFCG followed by GO and KEGG pathway enrichment analyses for all the targets.In cultured human hepatic stellate cells(LX-2 cells),the cytotoxicity of different compounds in YCHD was tested using CCK-8 assay;the effects of these compounds on collagen α1(Col1a1)mRNA expression and the pathways in 20 ng/mL TGF-β1-stimulated cells were analyzed using RT-qPCR and Western blotting.Results A total of 1005 pathogenic genes,226 potential active components and 1529 potential targets in YCHD and 52 potential targets of CFCG were obtained.Benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid were selected for CCK-8 verification,and they all showed minimal cytotoxicity below the concentration of 200 μmol/L.Clorius,polydatin,lauric acid and ferulic acid all effectively inhibited TGF-β1-induced LX-2 cell activation.At the concentration of 200 μmol/L,all these 4 components inhibited PI3K,p-PI3K,AKT,p-AKT,ERK,p-ERK,P38 MAPK and p-P38 MAPK expressions in TGF-β1-induced LX-2 cells.Conclusion The therapeutic effect of YCHD on hepatic fibrosis is probably mediated by its core functional components including benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid,which inhibit the PI3K-AKT and MAPK pathways in hepatic stellate cells.

Objective To analyze the core functional component groups(CFCG)in Yinchenhao Decoction(YCHD)and their possible pathways for treating hepatic fibrosis based on network pharmacology.Methods PPI data were extracted from DisGeNET,Genecards,CMGRN and PTHGRN to construct a weighted network using Cytoscape 3.9.1.The data of the chemical components in YCHD were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),and the potential active components and targets were selected using PreADMET Web server and SwissTargetPrediction.A fusion model was constructed to obtain the functional effect space and evaluate the effective proteins to identify the CFCG followed by GO and KEGG pathway enrichment analyses for all the targets.In cultured human hepatic stellate cells(LX-2 cells),the cytotoxicity of different compounds in YCHD was tested using CCK-8 assay;the effects of these compounds on collagen α1(Col1a1)mRNA expression and the pathways in 20 ng/mL TGF-β1-stimulated cells were analyzed using RT-qPCR and Western blotting.Results A total of 1005 pathogenic genes,226 potential active components and 1529 potential targets in YCHD and 52 potential targets of CFCG were obtained.Benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid were selected for CCK-8 verification,and they all showed minimal cytotoxicity below the concentration of 200 μmol/L.Clorius,polydatin,lauric acid and ferulic acid all effectively inhibited TGF-β1-induced LX-2 cell activation.At the concentration of 200 μmol/L,all these 4 components inhibited PI3K,p-PI3K,AKT,p-AKT,ERK,p-ERK,P38 MAPK and p-P38 MAPK expressions in TGF-β1-induced LX-2 cells.Conclusion The therapeutic effect of YCHD on hepatic fibrosis is probably mediated by its core functional components including benzyl acetate,vanillic acid,clorius,polydatin,lauric acid and ferulic acid,which inhibit the PI3K-AKT and MAPK pathways in hepatic stellate cells.

Microplastics refer to plastic particles with a diameter of less than 5 mm. Because of their wide distribution in the environment, it has gradually become one of the environmental hot issues of global concern in recent years. Microplastics are characterized by small particle size and strong adsorption. Existing studies have confirmed the biotoxic effects of microplastics in marine organisms and in experimental animals, suggesting their potential harm to human health. However, there have been few studies on the effects of microplastics on human health, and the research results have been inconsistent. Therefore, by summarizing the recent domestic and foreign studies about human exposure to microplastics as well as their potential effects on human body, this paper provides ideas and theoretical basis for further exploring the effects of microplastics on human health and related mechanisms.

【Objective】 To explore the effectiveness of an image recognition system based on artificial intelligence (AI) in diagnosing benign and malignant endometrial cell clumps. 【Methods】 We selected endometrial cytological specimens from The First Affiliated Hospital of Xi’an Jiaotong University and Xi’an Daxing Hospital from August 2021 to February 2023; histopathology was used as the gold standard. We compared and analyzed the sensitivity, specificity, positive predictive value, negative predictive value, accuracy and diagnostic time of AI image recognition system (AI diagnosis) and professional pathologists’ manual diagnosis (manual diagnosis) of benign and malignant endometrial cell clumps. 【Results】 Among the 126 patients included in the analysis, the overall coincidence rate of AI diagnosis and histological diagnosis was 92.1% (116/126), which was highly consistent with histopathological results (Kappa=0.841). The overall coincidence rate of manual diagnosis and histological diagnosis was 94.4% (119/126), which was highly consistent with histopathological results (Kappa=0.889). There was no statistically significant difference between AI diagnosis and manual diagnosis methods (χ²=0.568, P=0.451). The sensitivity, specificity, positive predictive value, and negative predictive value of AI diagnosis were 91.8%, 92.3%, 91.8%, and 92.3%, respectively. There were 126 cytology sections, each of which required 6.67 minutes for manual diagnosis and 5.00 minutes for AI diagnosis. 【Conclusion】 The AI image recognition system has high diagnostic accuracy, sensitivity and specificity, which is equivalent to the manual diagnosis level of professional pathologists. Therefore, this system has application value in the diagnosis of benign and malignant endometrial cell clumps.