Objective To investigate the gene expression profile in rat pancreatic ductal stem cells(PDSCs)when induced to differentiate into insulin-secreting cells(IPCs),with the goal of identifying key genes involved in this differentiation process.Methods The expanded PDSCs were categorized into a normal control(NC)group and an induced(Tre)group.PDSCs continued expansion culture in NC group,and cultured in induction medium for 28 days to facilitate the differentiation of PDSCs into IPCs in Tre group.Dithizone staining was employed to morphologically assess whether the cells exhibited a reddish-brown coloration,indicating a positive result.The immunofluorescence staining method was used to detect the expression of insulin(Ins)and PDX1 in the cells following induction.Additionally,ELISA was conducted to measure the Ins release from IPCs,thereby verifying the responsiveness of the induced cells to glucose-stimulated Ins secretion.Concurrently,cells were collected on induction days 0 and 28 for RNA sequencing(RNA-seq),and differentially expressed genes(DEGs)were analyzed and functionally annotated.The analysis revealed that regulatory factor X3(RFX3)was overexpressed in PDSCs,and the impact of RFX3 upregulation on differentiation induction was subsequently verified.Results Compared with NC group,DTZ staining was positive,PDX1 and Ins proteins were expressed,and an increased release of Ins in response to sugar stimulation was demonstrated in the Tre group.RNA-seq analysis identified 4270 DEGs,and functional enrichment analysis utilizing the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases revealed associations with Ins response,positive regulation of Ins secretion,pancreatic endocrine cell development,and overall pancreatic development.Additionally,functionally related genes such as ALDHA2,CREB5,EIF6,FOXO1,RFX3,WNT5a,OGT,GPR39,SMAD6,and TRPM2 were identified,indicating involvement in the cell cycle,TGF-β1 signaling pathway,FOXO signaling pathway,and Wnt signaling pathway in the regulation of the differentiation of pancreatic ductal stem cells(PDSCs)into insulin-producing cells(IPCs).Furthermore,the upregulation of RFX3 can inhibit the expression of TGF-β1 within 72 hours,thereby promoted the formation and release of Ins from insulin-positive cells.Conclusions Multiple genes and signaling pathways associated with pancreatic β-cell function collectively regulate the differentiation of rat PDSCs into IPCs.Notably,the upregulation of RFX3 enhances this differentiation process.

Objective To investigate the relationship between the expression of platelet autophagy related factors and peritoneal metastasis of gastric cancer.Methods The data of 360 patients with gastric cancer who underwent surgery in Hunan Provincial People's Hospital from January 2021 to May 2023 were reviewed.Patients were divided into non-peritoneal metastasis group(n=322)and peritoneal metastasis group(n=38)according to whether peritoneal metastasis occurred or not.The following information was collected:patient's personal information(i.e.age,sex,body mass index)and tumor characteristics(i.e.location,size,pathological type,histopathological differentiation,lymphatic infiltration).Platelets were collected from all subjects,and the levels of autophagy-associated protein 7(ATG7),benzalkonium chloride 1(BECN1),microtubule-associated protein 1 light chain 3(LC3)and sequestosome 1(p62)were measured by enzyme-linked immunosorbent assay(ELISA).Results Among the 360 patients included,peritoneal metastasis was detected in 38 cases.Compared with the non-peritoneal metastasis group,the peritoneal metastasis group exhibited decreased BMI(P<0.05),while the tumor size,non-ulcerative tumor,number of lymph node metastasis,infiltration depth,number of cases of lymphatic invasion,platelet count,platelet LC3-Ⅱ level,platelet ATG7 level and CEA level were increased(P<0.05).Multivariate logistic regression analysis showed that BMI(OR=1.094),lymphatic invasion(OR=2.658),and LC3-Ⅱ(OR=3.793)and ATG7(OR=2.010)were independent influencing factors for peritoneal metastasis in patients with gastric cancer(P<0.05).LC3-Ⅱ>2.59ng/ml had the highest ability to predict peritoneal metastasis in patients with gastric cancer(AUC=0.932),followed by ATG7(AUC=0.916).Conclusions Elevated levels of platelet LC3-Ⅱ and ATG7 are independently related to peritoneal metastasis in patients with gastric cancer,and can be used to predict the occurrence of peritoneal metastasis,which is helpful to guide individualized treatment.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To explore the influencing factors of the quality of gastric mucosal preparation before gastroscopy on the clarity of gastric mucosa under gastroscopy.Methods Clinical data of 240 patients who underwent painless gastroscopy for the first time at the endoscopy center of a tertiary hospital in Wenzhou from September 1,2023 to December 31,2024 were analyzed.The mucosal clarity score under gas-troscopy was recorded during the gastroscopy process,and the influencing factors on the qualification rate of gastric mucosal preparation quality for painless gastroscopy were analyzed.Results The unqualified rate of gastric mucosal preparation in patients undergoing painless gastroscopy was 52.9％,with the highest rates in the upper part of the stomach(17.1％)and the bottom of the stomach(12.1％),followed by the lower part of the stomach(9.2％),the antrum(7.9％)and bulb(3.8％),the lowest rates in the esophagus(2.9％).The quality of gastric mucosal preparation was relatively poor.Multivariate logistic regression analysis showed that,BMI,Helicobacter pylori(Hp)infection,abnormal gastric juice characteristics,and gastric polyps were independent risk factors affecting gastric mucosal preparation(OR=2.784,3.501,3.873,3.611,P＜0.05).Conclusion Insufficient preparation of gastric mucosa is associated with high BMI,Hp infection,abnormal gastric juice characteristics,and gastric polyps.To address patients with these risk factors,individualized pre-treatment plans should be developed based on routine fasting to optimize endoscopic field of view and ensure examination quality.

Objective To explore the potential categories of frailty development trajectories in patients undergoing cardiac surgery from pre-operation to 6 months post-operation,and analyze the influencing factors.Methods By a longitudinal study design,patients undergoing elective heart valve replacement surgery or coronary artery bypass grafting in a tertiary general hospital in Zunyi City from August 2022 to June 2023 were selected by the convenience sampling method.Tilburg frailty scale was used to investigate the frailty level of cardiac surgery patients 1 day before surgery(T0),1 month(T1),3 months(T2)and 6 months after surgery(T3).The growth mixture model was used to identify the trajectory categories,and the influencing factors of different frailty trajectories were analyzed by binary Logistic regression.Results 261 patients were enrolled at T0,with 22,9,and 3 patients lost at T1 to T3,and 227 patients were finally included in the analysis.There were 2 types of trajectories being identified as the low frailty decline group and the high frailty maintenance group.Age,use of sedative and analgesic drugs,pace,and depression were the factors influencing the frailty in cardiac surgery patients(P＜0.05).Conclusion There are 2 kinds of frailty development trajectories in patients undergoing cardiac surgery.Medical staff should fonnulate precise interventions and nursing measures according to the factors influencing frailty,so as to improve frailty degree and quality of life of patients undergoing cardiac surgery.

Objective To investigate the gene expression profile in rat pancreatic ductal stem cells(PDSCs)when induced to differentiate into insulin-secreting cells(IPCs),with the goal of identifying key genes involved in this differentiation process.Methods The expanded PDSCs were categorized into a normal control(NC)group and an induced(Tre)group.PDSCs continued expansion culture in NC group,and cultured in induction medium for 28 days to facilitate the differentiation of PDSCs into IPCs in Tre group.Dithizone staining was employed to morphologically assess whether the cells exhibited a reddish-brown coloration,indicating a positive result.The immunofluorescence staining method was used to detect the expression of insulin(Ins)and PDX1 in the cells following induction.Additionally,ELISA was conducted to measure the Ins release from IPCs,thereby verifying the responsiveness of the induced cells to glucose-stimulated Ins secretion.Concurrently,cells were collected on induction days 0 and 28 for RNA sequencing(RNA-seq),and differentially expressed genes(DEGs)were analyzed and functionally annotated.The analysis revealed that regulatory factor X3(RFX3)was overexpressed in PDSCs,and the impact of RFX3 upregulation on differentiation induction was subsequently verified.Results Compared with NC group,DTZ staining was positive,PDX1 and Ins proteins were expressed,and an increased release of Ins in response to sugar stimulation was demonstrated in the Tre group.RNA-seq analysis identified 4270 DEGs,and functional enrichment analysis utilizing the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases revealed associations with Ins response,positive regulation of Ins secretion,pancreatic endocrine cell development,and overall pancreatic development.Additionally,functionally related genes such as ALDHA2,CREB5,EIF6,FOXO1,RFX3,WNT5a,OGT,GPR39,SMAD6,and TRPM2 were identified,indicating involvement in the cell cycle,TGF-β1 signaling pathway,FOXO signaling pathway,and Wnt signaling pathway in the regulation of the differentiation of pancreatic ductal stem cells(PDSCs)into insulin-producing cells(IPCs).Furthermore,the upregulation of RFX3 can inhibit the expression of TGF-β1 within 72 hours,thereby promoted the formation and release of Ins from insulin-positive cells.Conclusions Multiple genes and signaling pathways associated with pancreatic β-cell function collectively regulate the differentiation of rat PDSCs into IPCs.Notably,the upregulation of RFX3 enhances this differentiation process.

Objective To explore the potential categories of frailty development trajectories in patients undergoing cardiac surgery from pre-operation to 6 months post-operation,and analyze the influencing factors.Methods By a longitudinal study design,patients undergoing elective heart valve replacement surgery or coronary artery bypass grafting in a tertiary general hospital in Zunyi City from August 2022 to June 2023 were selected by the convenience sampling method.Tilburg frailty scale was used to investigate the frailty level of cardiac surgery patients 1 day before surgery(T0),1 month(T1),3 months(T2)and 6 months after surgery(T3).The growth mixture model was used to identify the trajectory categories,and the influencing factors of different frailty trajectories were analyzed by binary Logistic regression.Results 261 patients were enrolled at T0,with 22,9,and 3 patients lost at T1 to T3,and 227 patients were finally included in the analysis.There were 2 types of trajectories being identified as the low frailty decline group and the high frailty maintenance group.Age,use of sedative and analgesic drugs,pace,and depression were the factors influencing the frailty in cardiac surgery patients(P＜0.05).Conclusion There are 2 kinds of frailty development trajectories in patients undergoing cardiac surgery.Medical staff should fonnulate precise interventions and nursing measures according to the factors influencing frailty,so as to improve frailty degree and quality of life of patients undergoing cardiac surgery.

Objective:To evaluate the role of O-sialoglycoprotein endopeptidase (OSGEP) in hepatic ischemia-reperfusion injury (HIRI) and the relationship with oxidative stress in mice.Methods:Experiment Ⅰ Twenty-four SPF healthy male C57BL/6 mice, 12 wild-type and 12 OSGEP knockdown, aged 6-8 weeks, weighing 18-22 g, were divided into 4 groups ( n=6 each) by the random number table method: wild-type shamoperation group (Sham group), wild-type HIRI group (HIRI group), OSGEP knockdown+ sham operation group (Sham+ KD group) and OSGEP knockdown+ HIRI group (HIRI+ KD group). Ischemia-reperfusion model was prepared by blocking the hepatic artery and portal vein for 60 min followed by reperfusion in anesthetized animals, the blood vessels were only exposed without occlusion in Sham group and Sham+ KD group, and the blood vessels were clamped for 60 min followed by reperfusion in HIRI group and HIRI+ KD group. The mice were sacrificed after 6-h reperfusion to extract liver tissue samples for microscopic examination of histopathological changes (with an optical microscope after HE staining) which were evaluated using Suzuki score and for determination of the serum concentrations of alanine aminotransferase (ALT) and aspartate aminotransferase (AST), level of reactive oxygen species (ROS) (using the DCFH-DA fluorescent probe method), contents of malondialdehyde (MDA) and glutathione(GSH) in liver tissues (using a colorimetric method) and expression of OSGEP (using Western blot). Experiment Ⅱ The well-growing AML12 cells were divided into 4 groups ( n=30 each) using a random number table method: control group (C group), oxygen-glucose deprivation/restoration (OGD/R) group, OGD/R+ OSGEP knockdown group (OGD/R+ KD group), and OGD/R+ OSGEP knockdown negative control group (OGD/R+ NC group). Group C was cultured under normal conditions. Group OGD/R was subjected to O 2-glucose deprivation for 6 h followed by restoration of O 2-glucose supply for 24 h in OGD/R group. In OGD/R+ KD group, stable transfection of AML12 cells with OSGEP knockdown was performed prior to the experiment, and the other procedures were the same as those previously described. The cell survival rate was measured by the CCK-8 assay, the release of lactate dehydrogenase (LDH) was measured, the DCFH-DA method was used to detect the levels of ROS, and the contents of MDA and GSH were determined using a colorimetric method. Results:Experiment Ⅰ Compared with Sham group, the expression of OSGEP was significantly down-regulated, the serum concentrations of AST and ALT, Suzuki score, levels of ROS and content of MDA were increased, and the GSH content was decreased in HIRI group ( P<0.05), and no significant change was found in each parameter in Sham+ KD group ( P>0.05). Compared with HIRI group, the serum concentrations of AST and ALT, Suzuki score, levels of ROS and content of MDA were significantly increased, and the GSH content was decreased in HIRI+ KD group ( P<0.05). Experiment Ⅱ Compared with group C, the expression of OSGEP was significantly down-regulated, the cell survival rate and GSH content were decreased, and the release of LDH, levels of ROS and content of MDA were increased in group OGD/R ( P<0.05). Compared with OGD/R group, the cell survival rate and GSH content were significantly decreased, and the release of LDH, levels of ROS and content of MDA were increased in OGD/R+ KD group ( P<0.05), and no significant change was found in each parameter in OGD/R+ NC group ( P>0.05). Conclusions:OSGEP plays an endogenous protective role in HIRI by inhibiting oxidative stress in mice.

Objective:To prepare seven standard strains of 2019 novel coronavirus (2019-nCoV), including wild type (WT) strain, Beta variant, Delta variant, Omicron variants (BA.2, BA.5, BQ.1, XBB.1 branches), which could be used to apply for national standard strains.Methods:According to cytopathic effect (CPE), virus titer, whole-virus-genome-sequencing and detection of mycoplasma, the basic biological characteristics of clonal isolation were determined through plaque purification technology.Results:The CPE was mainly characterized by cell shrinkage and exfoliation in Vero cells after infection with seven 2019-nCoV clonal isolations (WT, Beta, Delta, Omicron, BA.2, BA.5, BQ.1 and XBB.1 branches). The result of mycoplasma detection were negative and titers of the clonal isolation from 2nd to 5th generations were stable at 10 5-10 8 TCID 50/ml; the electron microscope showed that the virions were all round or elliptical, with a diameter between 60 nm and 140 nm. The subtypes of 7 strains were identified by whole-virus-genome-sequencing and phylogenetic analysis, with genomic stability after the fifth successive generations of clonal isolation. Conclusions:The series clonal isolation of 2019-nCoV with typical CPE of coronavirus, clear morphological structure, good viral activity and stable genetic characteristics were prepared, and they could be used to apply for national standard strains.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.