ObjectiveTo explore the effect and mechanism of tumor necrosis factor alpha （TNF-α）-regulated circular RNA Williams Beuren syndrome chromosomal region 22 （circWBSCR22） on the malignant behaviors of cervical cancer cells. MethodsHuman cervical cancer HeLa cells were treated with TNF-α. Reverse transcription quantitative polymerase chain reaction （RT-qPCR） was used to detect the expression level of circWBSCR22. Nuclear-cytoplasmic RNA separation experiments were conducted to determine the localization of circWBSCR22 in cells. Cell migration， invasion， viability， and proliferation were assessed through Transwell assay， tetrazolium salt （MTT） assay， and colony formation assay， respectively. Dual-luciferase reporter gene assays were performed to verify the targeting relationship between microRNA-512-5p （miR-512-5p） and circWBSCR22 or family with sequence similarity 60A （FAM60A）. RT-qPCR was used to detect the RNA levels of miR-512-5p and FAM60A. Western blot was used to detect the protein level of FAM60A. ResultsCompared with the Control group， the expression level of circWBSCR22 in HeLa cells treated with TNF-α increased （P<0.05）. About 66% of circWBSCR22 was found in the cytoplasm. Compared with the control group， the migration （P<0.01） and invasion （P<0.01） of HeLa cells transfected with circWBSCR22 were enhanced， but the cell activity and cell proliferation were not significantly affected （P>0.05）. The double luciferase reporter gene assay showed that the relative luciferase activity of the co transfected circWBSCR22-WT and miR-512-5p groups was lower than that of the co transfected circWBSCR22-WT and miR-NC groups （P<0.01）. Compared with the control group， the expression level of miR-512-5p in HeLa cells transfected with circWBSCR22 decreased （P<0.01）. Compared with the control group， the migration （P<0.01） and invasion （P<0.05） ability of HeLa cells transfected with miR-512-5p decreased. Double luciferase reporter gene assay showed that compared with the co transfected FAM60A 3´-UTR-WT and miR-NC groups， the fluorescence activity of the co transfected FAM60A 3´-UTR-WT and miR-512-5p groups decreased （P<0.01）.Compared with the control group， the expression levels of FAM60A mRNA （P<0.05） and protein （P<0.01） in HeLa cells transfected with miR-512-5p decreased. Compared with the control group， the migration （P<0.01） and invasion （P<0.01） of cervical cancer HeLa cells transfected with FAM60A were enhanced. Compared with the control group， the expression levels of FAM60A mRNA （P<0.01） and protein （P<0.05） in the cells transfected with circWBSCR22 increased. The results of rescue experiment showed that compared with the pcDNA+miR-NC group， the expression levels of FAM60A RNA （P<0.01） and protein （P<0.001） in the pcDNA+miR-512-5p group decreased， and the ability of migration （P<0.01） and invasion （P<0.05） decreased； Compared with pcDNA+miR-512-5p group， the expression levels of FAM60A RNA （P<0.01） and protein （P<0.001） in circWBSCR22+miR-512-5p group increased， and the ability of migration （P<0.01） and invasion （P<0.05） was enhanced. ConclusionTNF-α promotes the migration and invasion of cervical cancer cells through the circWBSCR22/miR-512-5p/FAM60A regulatory axis.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

AIM:To investigate the antitumor activity and targets of baicalein(Bai)in pancreatic cancer using network pharmacology combined with in vitro and in vivo experiments.METHODS:The targets of Bai and pancreatic can-cer were analyzed via multi-data screening.A protein-protein interaction network was constructed using STRING,and core targets were identified via Cytoscape.Functional enrichment was analyzed by Gene Ontology(GO)and Kyoto Ency-clopedia of Genes and Genomes(KEGG).Antitumor effects of Bai were assessed in pancreatic cancer cells Aspc-1 and Bxpc-3 using MTT and colony formation assays for proliferation,flow cytometry for apoptosis and cell cycle analysis,and Transwell assays for migration and invasion.A xenograft tumor model was established to evaluate tumor proliferation,im-munohistochemistry was performed to detect the protein expression of AKT in tumor tissues,and Western blot was used to analyze the expression levels of AKT,β-catenin,N-cadherin and Slug.RESULTS:A total of 108 overlapping targets were identified between Bai and pancreatic cancer.Among these,7 core targets were recognized,including proto-onco-gene tyrosine-protein kinase Src,heat shock protein 90 alpha family class A member 1(HSP90AA1),estrogen receptor 1(ESR1),tumor protein p53(TP53),epidermal growth factor receptor(EGFR),AKT1,and mitogen-activated protein ki-nase 3(MAPK3).The GO analysis revealed significant enrichment in oxidative stress response,protein phosphorylation,and serine/threonine kinase activity.The KEGG analysis primarily enriched the PI3K/AKT,MAPK and Ras signaling pathways.The MTT and colony formation assays showed that Bai inhibited the viability of Aspc-1 and Bxpc-3 cells in a dose-dependent manner(72 h IC50 values were 73.6 μmol/L and 83.4 μmol/L,respectively)and reduced cell colony for-mation(P<0.05 or P<0.01).Flow cytometry confirmed that Bai induced apoptosis of Aspc-1 and Bxpc-3 cells(P<0.01)and blocked the cell cycle at the G0/G1 phase(P<0.05 or P<0.01).Transwell experiments indicated that Bai inhibited the migration and invasion of Aspc-1 and Bxpc-3 cells(P<0.05 or P<0.01).In vivo,Bai significantly inhibited the growth of Aspc-1 cell xenograft tumors(P<0.01).Immunohistochemistry revealed a significant reduction in AKT expression in tu-mor tissues(P<0.01),and Western blot showed decreased expression of AKT,β-catenin,N-cadherin and Slug in both Aspc-1 and Bxpc-3 cells(P<0.01).CONCLUSION:Baicalein inhibits pancreatic cancer cell proliferation,migration,and invasion,potentially through down-regulation of AKT,β-catenin,N-cadherin,and Slug expression.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.

Objective:To develop a Knowledge-Attitude-Practice (KAP) Scale for Dietary Management During Hemodialysis and to test its reliability and validity.Methods:Based on the KAP theoretical framework, an initial version of the scale was developed through a literature review and expert consultations. A convenience sampling method was used to recruit hemodialysis patients from four hospitals in Suzhou in March 2024. Questionnaire item analysis and reliability and validity tests were conducted.Results:A total of 460 questionnaires were distributed and 438 valid responses were collected, with an effective response rate of 95.22%. The final scale included three dimensions (knowledge, attitude, and practice) with 34 items. Content validity at the scale level was 0.910, and the item level ranged from 0.800 to 1.000. Exploratory factor analysis extracted three common factors, with a cumulative variance contribution rate of 74.520%. Confirmatory factor analysis showed a good model fit. The total Cronbach's α coefficient of the scale was 0.971, and the Cronbach's αcoefficients for the three dimensions were 0.963, 0.933, and 0.934, respectively. The test-retest reliability coefficient was 0.839.Conclusions:The Knowledge-Attitude-Practice Scale for Dietary Management During Hemodialysis demonstrates good reliability and validity, making it a valuable tool for assessing the KAP level of dietary management in hemodialysis patients.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective To explore the risk factors for postoperative respiratory failure (RF) in patients with esophageal cancer, construct a predictive model based on the least absolute shrinkage and selection operator (LASSO)-logistic regression, and visualize the constructed model. Methods A retrospective analysis was conducted on patients with esophageal cancer who underwent surgical treatment in the Department of Thoracic Surgery, Sun Yat-sen University Cancer Center Gansu Hospital from 2020 to 2023. Patients were divided into a RF group and a non-RF (NRF) group according to whether RF occurred after surgery. Clinical data of the two groups were collected, and LASSO-logistic regression was used to optimize feature selection and construct the predictive model. The model was internally validated by repeated sampling 1000 times based on the Bootstrap method. Results A total of 217 patients were included, among which 24 were in the RF group, including 22 males and 2 females, with an average age of (63.33±9.10) years; 193 were in the NRF group, including 161 males and 32 females, with an average age of (62.14±8.44) years. LASSO-logistic regression analysis showed that the percentage of forced expiratory volume in one second/forced vital capacity (FEV1/FVC) to predicted value (FEV1/FVC%pred) [OR=0.944, 95%CI (0.897, 0.993), P=0.026], postoperative anastomotic fistula [OR=4.106, 95%CI (1.457, 11.575), P=0.008], and postoperative lung infection [OR=3.776, 95%CI (1.373, 10.388), P=0.010] were risk factors for postoperative RF in patients with esophageal cancer. Based on the above risk factors, a predictive model was constructed, with an area under the receiver operating characteristic curve of 0.819 [95%CI (0.737, 0.901)]. The Hosmer-Lemeshow test for the calibration curve showed that the model had good goodness of fit (P=0.527). The decision curve showed that the model had good clinical net benefit when the threshold probability was between 5% and 50%. Conclusion FEV1/FVC%pred, postoperative anastomotic fistula, and postoperative lung infection are risk factors for postoperative RF in patients with esophageal cancer. The predictive model constructed based on LASSO-logistic regression analysis is expected to help medical staff screen high-risk patients for early individualized intervention.