OBJECTIVE To investigate the impact of Netupitant and palonosetron hydrochloride capsules （NEPA） on the pharmacokinetics of Paclitaxel for injection （albumin bound） （i. e. albumin-bound paclitaxel） under different intestinal microenvironment conditions. METHODS Male SD rats were divided into a normal group and a model group （n＝16）. Rats in the model group were intragastrically administered vancomycin solution to establish an intestinal disorder model. The next day after modeling， intestinal microbiota diversity was analyzed， and the mRNA expressions of cytochrome P450 3A1 （CYP3A1） and CYP2C11 in small intestine and liver tissues as well as those protein expressions in liver tissue were measured. Male SD rats were grouped as described above （n＝16）. The normal group was subdivided into the TP chemotherapy group （TP-1 group） and the TP chemotherapy+NEPA group （TP+NEPA-1 group）； the model group was subdivided into the TP chemotherapy group （TP-2 group） and the TP chemotherapy+NEPA group （TP+NEPA-2 group） （n＝8）. Rats in the TP+NEPA-1 and TP+NEPA-2 groups received a single intragastric dose of NEPA suspension （25.8 mg/kg， calculated by netupitant）. One hour later， all four groups received a single tail vein injection of albumin-bound paclitaxel and cisplatin. Blood samples were collected at different time points after the last administration. Using azithromycin as the internal standard， plasma paclitaxel concentrations were determined by liquid chromatography-tandem mass spectrometry. The main pharmacokinetic parameters were calculated using DAS 2.0 software and compared between groups. RESULTS Compared with the normal group， the model group showed significantly decreased Chao1 and Shannon indexes （P＜0.05）， significant alterations in microbiota composition and relative abundance， and significantly downregulated expressions of CYP3A1 mRNA in liver tissue and CYP2C11 mRNA in both small intestine and liver tissues （P＜0.05）. Compared with the TP-1 group， the AUC0－t， AUC0－∞， MRT0－t of paclitaxel in the TP-2 group， the cmax， AUC0－t， AUC0－∞ of paclitaxel in the TP+NEPA-1 group and TP+NEPA-2 group were significantly increased or prolonged； CL of paclitaxel in the TP-2 group， Vd and CL of paclitaxel in the TP+NEPA-1 group and the TP+NEPA-2 group were significantly decreased or shortened （P＜0.05）. Compared with the TP-2 group， cmax of paclitaxel in the TP+NEPA-2 group was significantly increased， and Vd and MRT0－t were significantly decreased or shortened （P＜0.05）. CONCLUSIONS Intestinal microbiota disorder affects the mRNA expressions of CYP3A1 and CYP2C11， leading to decreased clearance and increased systemic exposure of paclitaxel. Concomitant administration of NEPA under normal intestinal microbiota condition increases paclitaxel exposure. However， under conditions of intestinal microbiota disorder， concomitant administration of NEPA has a limited impact on paclitaxel systemic exposure.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Cholangiocarcinoma is a malignant tumor with biliary epithelial features.The early diagnosis of cholangiocarcinoma is currently difficult and the treatment outcomes are poor.Its microenvironment includes abundant fibrotic mesenchyme and a variety of cell types,which promote the development and metastasis of cholangiocarcinoma by interacting with tumor cells through mechanisms such as facilitating migration,suppressing the immune response,and inducing angiogenesis and lymphangiogenesis.Immunotherapy is an important tumor treatment approach,and immunotherapy for cholangiocarcinoma has made some progress.This article reviews the characteristics of the immune microenvironment of cholangiocarcinoma,its relationship with immunotherapy,and cutting-edge therapeutic strategies.

Objective To evaluate the clinical value of acetic acid with narrow-band imaging ( NBI ) and magnifying endoscopy ( ME ) on diagnosis of small colorectal polyps. Methods In this prospective study, 261 small colorectal polyps from 122 patients were observed by ME, NBI-ME, and acetic acid with NBI-ME, and then received endoscopic treatment. Endoscopic images were stored electronically and randomly allocated to 3 experts and 3 non-experts for diagnosis using Kudo pit pattern. The postoperative pathologic results acted as gold standard to evaluate the diagnostic accuracy of different endoscopic modes for small colorectal polyps. The image definition and interobserver agreement were compared among different endoscopic modes. Results The diagnostic accuracy of ME, NBI-ME, and acetic acid with NBI-ME for small colorectal polyps was 65. 5％ ( 171/261) , 90. 0％ ( 235/261) , and 94. 6％ ( 247/261) , respectively, in the experts group, and 57. 1％ ( 149/261) , 83. 1％ ( 217/261) , and 89. 3％ ( 233/261) , respectively, in the non-experts group. All experts and non-experts diagnosed small colorectal polyps more accurately by acetic acid with NBI-ME than by NBI-ME ( all P<0. 05 ) and ME ( all P<0. 001 ) . The image definition scores of acetic acid with NBI-ME in the experts group and non-experts group were significantly higher than those of NBI-ME and ME ( all P<0. 001) . The results of interobserver agreement showed that Kappa values (95％CI) of ME, NBI-ME, and acetic acid with NBI-ME diagnosis were 0. 578 (0. 508-0. 648), 0. 669 (0. 599-0. 739), and 0. 940 (0. 870-1. 010), respectively, for experts and 0. 476 (0. 406-0. 546), 0. 534 ( 0. 464-0. 604) , and 0. 830 ( 0. 760-0. 900 ) , respectively, for non-experts. Acetic acid with NBI-ME showed good interobserver agreement. Conclusion Acetic acid with NBI-ME has a higher diagnostic accuracy and good reproducibility for colorectal small polyps compared with ME and NBI-ME.

AIM:To investigate the protective effect of somatostatin (SST) and octreotide (OCT) on rat hepatocytes. METHODS: The primary hepatocytes were pretreated with different concentrations of SST and OCT. The levels of alanine minotransferase (ALT) and aspartate aminotransferase (AST) in culture supernatant were analyzed by the model of ethanol/carbon tetrachloride (CCl4)-induced hepatocyte injury. Additionally, 75 Sprague-Dawley rats were divided into 5 groups at random, including normal control, model control, SST-treated model groups at high, medium and low doses (200 ?g?kg-1?d-1, 100 ?g?kg-1?d-1 and 50 ?g?kg-1?d-1, respectively). Except for the normal controls, all rats were injected with 40% CCl4 subcutaneously for 8 weeks to establish hepatic fibrosis. Meanwhile, rats of SST-treated model groups were given at different doses of SST twice a day in the same way. Thereafter, the liver function and apoptosis index of hepatocytes were detected by standard enzyme method, terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL), respectively. RESULTS: Compared with those of injury model group, the hepatocytes pretreated with SST (10-8-10-6 mol/L) and OCT (10-7-10-5 mol/L) exhibited significantly decreased levels of ALT and AST in the culture supernatant. Furthermore, most indices of liver function including ALT, AST, alkaline phosphatase (ALP), total bilirubin (TBIL) and albumin (ALB) improved obviously in all SST-treated groups, especially in the group treated with low dose of SST. The apoptosis index of hepatocytes in the fibrotic liver was also reduced greatly by the treatment with low dose of SST. CONCLUSION: SST and OCT may protect hepatocytes against CCl4-induced injury, inhibit hepatocyte apoptosis, and improve the liver function. These findings suggest them a potential efficiency in the prevention of hepatic fibrosis.