OBJECTIVE To investigate the pharmacological efficacy and mechanism of action of Atractylenolide Ⅰ(Atr-Ⅰ)in inhibiting colorectal cancer.METHODS Among three active compounds of Atractylodes macrocephala,Atr-Ⅰ exhibited the highest anti-tumor potency by MTT assay.The optimal concentration of Atr-Ⅰ was determined.The effect of Atr-Ⅰ on LoVo cell prolifera-tion was assessed via a clonogenic assay,while its impact on apoptosis and cell cycle progression was evaluated using flow cytometry.The influence of Atr-Ⅰ on the migration and invasion of LoVo cell line was examined through wound healing and Transwell migration assays.Western blot analysis was performed to explore the effects and mechanisms of Atr-Ⅰ on proteins associated with mi-gration,proliferation,and epithelial-mesenchymal transition(EMT)in LoVo cells.The CT26 mouse subcutaneous tumor model was established,and histopathological analysis was conducted using hematoxylin-eosin(HE)staining.Western blot was also used to assess the effects of Atr-Ⅰ on EMT-related proteins in mouse tissues to elucidate underlying mechanisms.RESULTS Atr-Ⅰ significantly reduced colorectal cancer cell viability,with statistically significant differences between treatment and control groups(P<0.05,P<0.01).Atr-Ⅰ induced apoptosis in LoVo cells,with the treatment group showing significant differences compared to the control(P<0.05,P<0.01).Cell cycle analysis revealed that Atr-Ⅰ exerted anti-tumor effects by inducing G2/M phase arrest,with increased G2 phase cell numbers in the LoVo treatment group compared to the control(P<0.05).Wound healing and Transwell migration assays confirmed that Atr-Ⅰ significantly inhibited tumor cell migration and invasion(P<0.05,P<0.01).Western blot analysis demonstra-ted that Atr-Ⅰ specifically suppressed the expression of c-Myc and Bcl-2(P<0.05),as well as cell cycle-related proteins CDK1,Cyclin B1,and Cyclin D1(P<0.05),and angiogenesis-related proteins VEGF and MMP9(P<0.05).Additionally,Atr-Ⅰ down-regulated EMT-related protein N-cadherin and upregulated E-cadherin expression(P<0.05).It also reduced the expression of p-AKT and p-S6K1(P<0.05).CONCLUSION Atr-Ⅰ exhibits potent anti-tumor effects against colorectal cancer,potentially through modulation of the AKT/S6K1 signaling pathway.

OBJECTIVE To investigate the pharmacological efficacy and mechanism of action of Atractylenolide Ⅰ(Atr-Ⅰ)in inhibiting colorectal cancer.METHODS Among three active compounds of Atractylodes macrocephala,Atr-Ⅰ exhibited the highest anti-tumor potency by MTT assay.The optimal concentration of Atr-Ⅰ was determined.The effect of Atr-Ⅰ on LoVo cell prolifera-tion was assessed via a clonogenic assay,while its impact on apoptosis and cell cycle progression was evaluated using flow cytometry.The influence of Atr-Ⅰ on the migration and invasion of LoVo cell line was examined through wound healing and Transwell migration assays.Western blot analysis was performed to explore the effects and mechanisms of Atr-Ⅰ on proteins associated with mi-gration,proliferation,and epithelial-mesenchymal transition(EMT)in LoVo cells.The CT26 mouse subcutaneous tumor model was established,and histopathological analysis was conducted using hematoxylin-eosin(HE)staining.Western blot was also used to assess the effects of Atr-Ⅰ on EMT-related proteins in mouse tissues to elucidate underlying mechanisms.RESULTS Atr-Ⅰ significantly reduced colorectal cancer cell viability,with statistically significant differences between treatment and control groups(P<0.05,P<0.01).Atr-Ⅰ induced apoptosis in LoVo cells,with the treatment group showing significant differences compared to the control(P<0.05,P<0.01).Cell cycle analysis revealed that Atr-Ⅰ exerted anti-tumor effects by inducing G2/M phase arrest,with increased G2 phase cell numbers in the LoVo treatment group compared to the control(P<0.05).Wound healing and Transwell migration assays confirmed that Atr-Ⅰ significantly inhibited tumor cell migration and invasion(P<0.05,P<0.01).Western blot analysis demonstra-ted that Atr-Ⅰ specifically suppressed the expression of c-Myc and Bcl-2(P<0.05),as well as cell cycle-related proteins CDK1,Cyclin B1,and Cyclin D1(P<0.05),and angiogenesis-related proteins VEGF and MMP9(P<0.05).Additionally,Atr-Ⅰ down-regulated EMT-related protein N-cadherin and upregulated E-cadherin expression(P<0.05).It also reduced the expression of p-AKT and p-S6K1(P<0.05).CONCLUSION Atr-Ⅰ exhibits potent anti-tumor effects against colorectal cancer,potentially through modulation of the AKT/S6K1 signaling pathway.

Objective To investigate the relationship between triglyceride glucose body mass index(TyG-BMI),high density lipoprotein cholesterol to Apolipoprotein A ratio(HAR),glycemic risk index(GRI)and diabetic retinopathy(DR).Methods A total of 159 patients with type 2 diabetes mellitus(T2DM)complicated with DR(the DR group)were divided into the non-proliferative retinopathy group(NPDR group,66 cases)and the proliferative retinopathy group(PDR group,93 cases)according to DR international clinical grading criteria,and 159 T2DM patients without DR were selected as the control group.Clinical information and baseline laboratory test results were recorded,and TyG-BMI,HAR and GRI were calculated.Multivariate Logistic regression analysis was conducted to analyze the related factors of the incidence of DR,and receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of TyG-BMI,HAR and GRI for DR.Results The duration of T2DM,the proportion of hypertension,diabetic nephropathy and diabetic foot,levels of HbA1c,homeostasis model insulin resistance index(HOMA-IR),total cholesterol(TC),C-reactive protein(CRP),TyG-BMI,HAR and GRI were higher in the DR group than those in the control group(P<0.05).TyG-BMI,HAR and GRI were higher in the PDR group than those in the NPDR group(P<0.05).Multivariate Logistic regression analysis showed that the longer course of T2DM disease[OR(95%CI):2.781(1.398-5.534)],high TyG-BMI[2.036(1.169-3.546)],high HAR[1.890(1.090-3.280)]and high GRI[1.836(1.065-3.167)]were risk factors for DR(P<0.05).ROC curve analysis results showed that,the area under the curve(AUC)of combined TyG-BMI,HAR and GRI diagnosis of DR was higher than that of single diagnosis[0.940(0.908-0.964),0.864(0.821-0.900),0.796(0.747-0.839)and 0.836(0.790-0.875),all P<0.05].Conclusion The increased TyG-BMI,HAR and GRI in T2DM patients is associated with the onset and severity of DR,and which can be used to assess the risk of DR.

Objective To construct and verify the risk profile model of surgically induced astigmatism(SIA)in elderly patients with diabetic catarac.Methods A total of 309 patients admitted to our hospital for phacoemulsification were selected as the study objects.Patients were divided into the SIA group(n=158)and the non-SIA group(n=151)according to whether SIA occurred after surgery.Multivariate Logistic regression analysis was used to analyze the factors influencing the occurrence of SIA in diabetic cataract patients,and the nomogram model of SIA in diabetic cataract patients was constructed.ROC curve,calibration curve and decision curve were used for evaluation and verification of the model.Results The patient age and the lens nucleus hardness level Ⅲ-Ⅳ,incision size≥3.00 mm,incision shape as trapezoidal transparent corneal incision,corneal incision length≥1.75 mm and horizontal diameter of the cornea were significantly higher in the SIA group than of the non-SIA group(P＜0.05).There were no significant differences in gender,body mass index(BMI),duration of diabetes,history of hypertension,history of cardiovascular disease,grading of diabetic retinopathy,axial length,anterior chamber depth,central corneal thickness,total corneal refractive power,astigmatism axis position and ultrasound phacoemulsification time between the two groups of patients(P＞0.05).Multivariate Logistic regression results showed that incision size,incision shape,corneal incision length and corneal horizontal diameter were the factors affecting the occurrence of SIA in diabetic cataract patients(P＜0.05).The R software was used to incorporate four influencing factors to generate a nomogram model that could be used to predict the occurrence of SIA in diabetic cataract patients.ROC curve analysis results showed that the area under the curve(AUC)value of this histogram to predict SIA in diabetic cataract patients was 0.810(95%CI=0.761-0.860).Hosmer-Lemeshow test and calibration curve analysis showed that the model fit well(χ2=11.142,P=0.194).The results of decision curve analysis showed that when the probability of high risk threshold 0.35-0.8,the clinical net benefit rate of the column graph model was greater than 0.Conclusion Incision size,incision shape,corneal incision length and corneal horizontal diameter are influential factors for the occurrence of SIA in patients with diabetic cataract.Based on the above influential factors,the columniogram model for predicting the occurrence risk of SIA in patients with diabetic cataract has good differentiation,accuracy and clinical applicability.

Objective:The Social Isolation Scale for people with type 2 diabetes mellitus (T2DM) was developed and tested for reliability and validity, which provided an effective tool for measuring the social isolation level of patients with T2DM.Methods:The initial scale was developed through literature review, qualitative interviews, and expert consultation. Convenience sampling method was used to select T2DM patients who met the inclusion and exclusion criteria for questionnaire survey. The item analysis method was used to select the items of the scale. Exploratory and confirmatory factor analyses were used to evaluate construct validity. The content validity of the scale was evaluated by the scale-level content validity index and the item-level content validity index. The criterion validity was verified by using the Lubben Social Network Scale-6 and the De Jong Gierveld Loneliness Scale. Reliability was tested through internal consistency and test-retest reliability.Results:Through literature review and qualitative interviews, 30 items of the scale were selected to form the first version scale. After two rounds of inquiries from 16 experts (expert authority coefficient = 0.897), the second version of the scale was formed. A total of 407 questionnaires were distributed in two stages using the second version scale. Among the 407 patients, there were 214 males and 193 females. Exploratory factor analysis extracted 4 common factors, with a cumulative variance contribution rate of 61.338%. The final scale was determined to include 4 dimensions and 16 items, with the dimensions being "social support network", "frequency of social participation", "satisfaction with interpersonal relationships", and "diabetes-related sense of isolation".The average content validity index at the scale level was 0.929, the content validity index at the item level was 0.830 - 1.000, and the criterion validity was - 0.647 and 0.681. The Cronbach′s α coefficient of the total scale was 0.822, and the test-retest reliability was 0.858.Conclusions:The Social Isolation Scale for people with T2DM has good reliability and validity. It is a reliable and valid tool for assessing social isolation in T2DM patients.

Objective:To explore the association between the use of tetracyclines during pregnancy and congenital malformations, with the aim of providing evidence-based guidance for the rational use of antibiotics during pregnancy.Methods:Data from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) and the Canada Vigilance Adverse Reaction (CVAR) database from January 2015 to September 2024 were collected. Five methods including Tree-based scan statistic (TreeScan), proportional reporting ratio (PRR), reporting odds ratio (ROR), the UK Medicines and Healthcare Products Regulatory Agency (MHRA) comprehensive standard, and the Bayesian confidence propagation neural network (BCPNN) were used to detect signals of risk for congenital malformations in offspring following maternal use of tetracyclines during pregnancy. A signal that met the threshold criteria of all above 5 methods was considered as a risk signal. Based on population-based cohort of the drug exposures and adverse pregnancy outcomes (DEEP) data from January 2013 to December 2021 in Xiamen City, propensity score matching (PSM)-based Poisson regression was applied to evaluate the association between the first-trimester tetracyclines exposure and congenital malformations in offspring. Adjusted relative risk (a RR) and its 95% confidence interval ( CI) were calculated. Sensitivity analysis was conducted to validate the reliability of the results. Results:A total of 304 098 reports of adverse events during pregnancy were obtained from the FAERS and CVAR databases. Among them, 5 028 reports were related to tetracyclines, including 1 026 reports of congenital malformations in offspring, involving congenital malformations of musculoskeletal system, other digestive system, and other congenital malformations. Signal detection results suggested that tetracyclines may be a risk signal for above congenital malformations in offspring. The DEEP data included 411 936 pregnant women. After PSM, 240 pregnant women exposed to tetracyclines were included. The results showed no significant association between the first-trimester tetracyclines exposure and congenital malformations in offspring (a RR=0.75, 95% CI: 0.26-2.17), sensitivity analysis also showed no correlation. Conclusions:Data mining from the FAERS and CVAR databases suggests a potential association between tetracyclines use during pregnancy and congenital malformations in offspring. However, the DEEP data study shows no significant correlation.

Objective To construct and verify the risk profile model of surgically induced astigmatism(SIA)in elderly patients with diabetic catarac.Methods A total of 309 patients admitted to our hospital for phacoemulsification were selected as the study objects.Patients were divided into the SIA group(n=158)and the non-SIA group(n=151)according to whether SIA occurred after surgery.Multivariate Logistic regression analysis was used to analyze the factors influencing the occurrence of SIA in diabetic cataract patients,and the nomogram model of SIA in diabetic cataract patients was constructed.ROC curve,calibration curve and decision curve were used for evaluation and verification of the model.Results The patient age and the lens nucleus hardness level Ⅲ-Ⅳ,incision size≥3.00 mm,incision shape as trapezoidal transparent corneal incision,corneal incision length≥1.75 mm and horizontal diameter of the cornea were significantly higher in the SIA group than of the non-SIA group(P＜0.05).There were no significant differences in gender,body mass index(BMI),duration of diabetes,history of hypertension,history of cardiovascular disease,grading of diabetic retinopathy,axial length,anterior chamber depth,central corneal thickness,total corneal refractive power,astigmatism axis position and ultrasound phacoemulsification time between the two groups of patients(P＞0.05).Multivariate Logistic regression results showed that incision size,incision shape,corneal incision length and corneal horizontal diameter were the factors affecting the occurrence of SIA in diabetic cataract patients(P＜0.05).The R software was used to incorporate four influencing factors to generate a nomogram model that could be used to predict the occurrence of SIA in diabetic cataract patients.ROC curve analysis results showed that the area under the curve(AUC)value of this histogram to predict SIA in diabetic cataract patients was 0.810(95%CI=0.761-0.860).Hosmer-Lemeshow test and calibration curve analysis showed that the model fit well(χ2=11.142,P=0.194).The results of decision curve analysis showed that when the probability of high risk threshold 0.35-0.8,the clinical net benefit rate of the column graph model was greater than 0.Conclusion Incision size,incision shape,corneal incision length and corneal horizontal diameter are influential factors for the occurrence of SIA in patients with diabetic cataract.Based on the above influential factors,the columniogram model for predicting the occurrence risk of SIA in patients with diabetic cataract has good differentiation,accuracy and clinical applicability.

Objective:To explore how nurses respond to and experience task uncertainty in prehospital emergency care.Methods:Using purposive sampling, 13 prehospital emergency nurses from two tertiary hospitals in Shandong Province were selected between June and August 2024. Semi-structured interviews were conducted face-to-face. The interview data were analyzed using Colaizzi's seven-step method.Results:Four main themes were identified: a certain degree of task uncertainty exists in prehospital emergency care; nurses have varied emotional and cognitive responses to such uncertainty; nurses adopt diverse coping strategies; organizational-level interventions are essential to improving nurses' experiences.Conclusions:Nurses recognize the presence of task uncertainty in prehospital emergency care and demonstrate different responses and coping strategies. This highlights the need for both nurses and healthcare managers to acknowledge this characteristic of emergency work, help nurses alleviate negative experiences, foster positive coping mechanisms, and ensure the quality of prehospital emergency nursing services.

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.