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 identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.

Interleukin- (IL) 23 drives pathogenic differentiation of Th17 cells via the JAK2-STAT3 signaling pathway, upregulates IL-17A/IL-22 expression, and disrupts intestinal barrier integrity, thereby playing a pivotal role in the pathogenesis of Crohn's disease (CD). IL-23p19 inhibitors—exemplified by risankizumab, mirikizumab, and guselkumab—precisely block this pathway. Key phase 3 trials have demonstrated their efficacy in CD, showing significant clinical benefits in patients refractory to conventional therapies or biologics, with no new safety signals identified. The ultimate treatment goal for CD is deep healing (mucosal-transmural-biochemical composite remission) as defined by STRIDE II. However, current evidence exhibits critical limitations: absence of head-to-head drug comparisons, insufficient data on biologic-experienced subpopulations, and heterogeneous follow-up durations leading to uncertainties in long-term safety. Future studies require standardized head-to-head trials with enhanced subgroup analyses to optimize precision therapeutics.

Interleukin- (IL) 23 drives pathogenic differentiation of Th17 cells via the JAK2-STAT3 signaling pathway, upregulates IL-17A/IL-22 expression, and disrupts intestinal barrier integrity, thereby playing a pivotal role in the pathogenesis of Crohn's disease (CD). IL-23p19 inhibitors—exemplified by risankizumab, mirikizumab, and guselkumab—precisely block this pathway. Key phase 3 trials have demonstrated their efficacy in CD, showing significant clinical benefits in patients refractory to conventional therapies or biologics, with no new safety signals identified. The ultimate treatment goal for CD is deep healing (mucosal-transmural-biochemical composite remission) as defined by STRIDE II. However, current evidence exhibits critical limitations: absence of head-to-head drug comparisons, insufficient data on biologic-experienced subpopulations, and heterogeneous follow-up durations leading to uncertainties in long-term safety. Future studies require standardized head-to-head trials with enhanced subgroup analyses to optimize precision therapeutics.

Objective The high post-surgery recurrence rate of endometriosis(EMs)has emerged as a challenge in the long-term manaagement of the condition.This study is aimed at investigating the mechanisms of Neiyiting(NYT)decoction in preventing postoperative recurrence of EMs.Methods An animal model of EMs postoperative recurrence and a model of endometrial stromal cells(hEM15A)cocultured with macrophages(RAW 264.7 cell line)were established for both in vivo and in vitro experiments.An autotransplantation method was used to establish a rat model of EMs.The rats were divided into 4 groups(6 rats per group)and received the corresponding treatments:a Model group receiving distilled water,a Gestrinone group receiving gestrinone at 0.325 mg/kg,a low-dose NYT(NYT-L)group receiving NYT decoction at 5.04 g/(kg-d),and a high-dose NYT(NYT-H)group receiving NYT decoction at 10.08 g/(kg-d).The treatment was administered for 3 weeks via intragastric gavage.In addition,6 SD rats were randomly selected for the control group(Control group),and were given distilled water for 3 weeks via intragastric gavage.The sizes and pathological changes of recurrent lesions in EMs rats were observed.Immunohistochemistry and qRT-PCR were performed to assess the expression of M1 macrophage marker CD86 protein and mRNA in vivo.Additionally,immunohistochemistry and qRT-PCR were used to assess the expression of indicator proteins related to the triggering receptor expressed on myeloid cells 1(TREM1)/Toll-like receptor 4(TLR4)/nuclear factor kappa B(NF-κB)signaling pathway and mRNA.The proliferation of hEM15A cells in the coculture experiment was observed.Flow cytometry was performed to determine the polarization of RAW264.7 macrophages,and qRT-PCR was used to determine the expression levels of inducible nitric oxide synthase(iNOS)and interleukin 1β(IL-1β)mRNA.Western blot was performed to determine the expression of signaling pathway-related indicator proteins in vitro.ELISA was performed to determine the levels of inflammatory factors in vitro.Results Compared with the Model group,the volume of recurrent lesions in the NYT-H group was reduced(P＜0.01).Findings from the macrophage M1 polarization assessment showed that the expression levels of CD86 protein and mRNA in the recurrent lesions of the Model group were higher than those in the control group(P＜0.01).The expression levels of CD86 protein and mRNA in the recurrent lesions of the NYT-H group were lower than those of the Model group(P＜0.01).In addition,the RAW 264.7 cell experiment further verified that NYT decoction could reduce the number of CD86-positive macrophages induced by plasmids overexpressing TREM1 and reduce the expression of IL-1β and iNOS mRNA(P＜0.01).The results of the hEM15A cell proliferation assay showed that NYT decoction down-regulated KI-67 protein expression in hEM15A cells induced by macrophage M1 polarization(P＜0.01).The results of TREM1/TLR4/NF-κB signaling pathway showed that the protein and mRNA expression levels of TREM1,TLR4,and NF-κB in the recurrent lesions of the Model group were higher than those of the control group(P＜0.01).Compared with those in the Model group,the protein and mRNA expression levels of TREM1,TLR4,and NF-κB in the recurrent lesions of the NYT-H group were lower(P＜0.01).In addition,the coculture experiment of RAW264.7 and hEM15A cells further confirmed that NYT decoction reduced the expression of TREM1,TLR4,and P-P65 proteins(P＜0.01).Conclusion NYT decoction can inhibit macrophage M1 polarization through the TREM1/TLR4/NF-κB signaling pathway,improve the inflammation level,and inhibit the formation of ectopic endometrial lesions,thereby preventing postoperative recurrence of EMs.

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 identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.

Objective To explore the feasibility and rationality of advanced integrated two-stage laparoscopic simulation training course in standardized training of surgical residents.Methods From December 2019 to December 2021,the advanced integrated two-stage laparoscopic simulation training course was carried out among 2019-2020 surgical residents who received standardized training in our hospital.The course was divided into two stages.In the first stage,BEST(best essential surgical technology training)course,adopted Darwin? endoscopic training system,Tianyan? endoscopic training system,Microport? 3D laparoscopic training system and simple simulative models were used.The second stage,BEST PLUS course,same platform as that in BEST course and in vitro animal models were used.The questionnaire survey method(before and after class questionnaire)was adopted to evaluate the curriculum setting,such as curriculum form,simulators,teaching method,time arrangement,curriculum difficulty,training effect,curriculum satisfaction and so on.Results A total of 37 surgical residents completed the two-stage course training and the questionnaire survey.The overall satisfaction rate with the curriculum setting was 100%.There were 32 residents(86.5%)thought that first stage training course could significantly improve their clinical skills,35 residents(94.6%)thought that second stage training course could significantly improve their clinical skills,and 36 resident(97.3%)thought that the first stage curriculum could significantly help them improve performance in the second stage curriculum.Conclusions The trainees had a high degree of recognition and satisfaction for the advanced integrated two-stage laparoscopic simulation training course.The overall design of course was reasonable and feasible,and was attractive to trainees.

Objective To analyze the sensitivity of ARHGAP8 in predicting the efficacy of neoadjuvant chemotherapy in the patients with locally advanced mid-low colorectal cancer and provide accurate evidence for the treatment of advanced colorectal cancer.Methods The differentially expressed gene ARHGAP8 was screened out by bioinformatics analysis.Cancer tissue and rectal tissue of 68 patients with primary rectal cancer were select-ed.The rectal cancer tissue samples and the rectal tissue samples were collected for clinical validation of ARH-GAP8 expression by quantitative real-time PCR,Western blotting,and immunohistochemistry.The clinical and pathological features such as gender,age,tumor stage,differentiation degree,and pathological type of the pa-tients were collected for functional validation.Forty-four patients with locally advanced mid-low rectal cancer who received neoadjuvant chemotherapy were selected for immunohistochemical examination of ARHGAP8 expres-sion.The expression level of ARHGAP8 was compared between before and after chemotherapy and among different efficacy groups.Results The bioinformatics analysis revealed differences in the expression level of ARHGAP8 between the cancer tissue and rectal tissue(P＜0.001).The expression level of ARHGAP8 was correlated with tumor stage(P=0.024),lymph node metastasis(P=0.007),and age(P=0.005).Quantitative real-time PCR results showed that the mRNA level of ARHGAP8 in the cancer tissue was higher than that in the rectal tis-sue(P＜0.001).Western blotting and immunohistochemistry results demonstrated that the protein level of ARH-GAP8 in the cancer tissue was higher than that in the rectal tissue(P=0.011).The expression of ARHGAP8 was correlated with tumor size(P=0.010)and pathological stage(P=0.005),while it showed no significant association with tumor differentiation degree,lymph node metastasis,liver metastasis,Ki-67,or microsatellite instability expression level.The 44 patients receiving neoadjuvant chemotherapy included 13,8,8,and 15 pa-tients of tumor regression grades 0,1,2,and 3,respectively.Among them,65.91％(29/44)patients showed responses to the treatment.After neoadjuvant chemotherapy,the expression of ARHGAP8 in the cancer tissue was down-regulated in the patients who responded to the chemotherapy(P＜0.001).The response rate in the patients with low protein level of ARHGAP8 was 92.86％,which was higher than that(53.33％)in the patients with high pro-tein level of ARHGAP8(P=0.033).Conclusions ARHGAP8 is highly expressed in the rectal cancer tissue.The pa-tients with locally advanced mid-low rectal cancer and low ARHGAP8 expression are more sensitive to neoadjuvant chemotherapy with the XELOX protocol.ARHGAP8 can serve as a potential biomarker for the occurrence and develop-ment of rectal cancer and an important index for evaluating the efficacy of neoadjuvant chemotherapy with the XELOX protocol in the patients with locally advanced mid-low rectal cancer.

Objective To explore the effects and mechanism of Baitouweng Decoction in intestinal mucosal healing in mice with ulcerative colitis(UC)based on RIPK1/RIPK3/MLKL signaling pathway.Methods Totally 30 C57BL/6 male mice were randomly divided into control group,model group,Baitouweng Decoction group,infliximab group and combination group(Baitouweng Decoction+infliximab),with 6 mice in each group.A mouse model of UC was established by free administration of 3.5%sodium gluconate sulfate solution for 7 days.After modeling,Baitouweng Decoction group was given 8 g/kg Baitouweng Decoction solution by gavage daily,while the infliximab group was given 5 mg/kg infliximab intraperitoneal injection,the combination group was given synchronous gastric and intraperitoneal injection,while the control group and model group were given equal volume of normal saline by gavage for 7 consecutive days.The body mass of mice was recorded daily,fecal characteristics were observed,and disease activity index(DAI)score was performed,colon length was measured after intervention,ELISA was used to detect the contents of serum interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α),RT-qPCR was used to detect mRNA expressions of RIPK1,RIPK3 and MLKL in colon tissue,Western blot and immunofluorescence staining were used to detect the expressions of RIPK1,RIPK3 and MLKL protein in colon tissue.Results Compared with the control group,the model group mice showed a decrease in body mass(P<0.01),an increase in DAI score(P<0.01),a shortened colon length(P<0.01),and an increase in serum IL-6 and TNF-α content(P<0.01);colonic mucosal was destructed,with disappearance of crypts and glandular structures,extensive infiltration of inflammatory cells,and increased pathological score of colon tissue(P<0.01);the mRNA and protein expressions of RIPK1,RIPK3 and MLKL in colon tissue increased(P<0.01,P<0.05).Compared with the model group,the body mass of mice in each treatment group increased(P<0.01),and the DAI score decreased(P<0.01),colon length increased(P<0.01),and the contents of serum IL-6 and TNF-α decreased(P<0.05,P<0.01);the destruction of the colonic mucosal barrier was reduced,the pathological score of colon tissue was reduced(P<0.05);the expressions of RIPK1,RIPK3 and MLKL mRNA and protein in colon tissue decreased(P<0.05,P<0.01).Conclusion Baitouweng Decoction can alleviate intestinal mucosal damage and inflammation in UC mice,and its mechanism may be related to the inhibition of the RIPK1/RIPK3/MLKL signaling pathway.