Objective To investigate the regulatory mechanism of transforming growth factor-β1 (TGF-β1) in different types of mitral valvular disease (MVD) with atrial fibrillation (AF). Methods From August 2011 to August 2012, patients with moderate to severe MVD accompanied by AF who required mitral valve replacement at the Department of Cardiovascular Surgery, West China Hospital, Sichuan University, were included. Based on echocardiographic results, patients were divided into two groups: a mitral regurgitation (MR) with AF (MR-AF) group and a mitral stenosis (MS) with AF (MS-AF) group. Left atrial tissue samples were collected during surgery. Techniques such as enzyme-linked immunosorbent assay, real-time fluorescence quantitative polymerase chain reaction, immunohistochemistry, and Western blotting were used to detect key molecules in the TGF-β1/JNK pathway. Results Sixteen patients were enrolled. There were 8 patients in the MR-AF group, including 5 males and 3 females, with an average age of (41.38±11.19) years; and 8 patients in the MS-AF group, including 6 males and 2 females, with an average age of (43.12±5.30) years. The left atrial volume load was higher in MR-AF patients, while the left atrial pressure load was higher in MS-AF patients. In MS-AF patients, the relative expression levels of MAPK9, JUN, CASP3, BAX, and BCL2 mRNA in left atrial tissues were significantly upregulated. The serum TGF-β1 protein level and the relative expression levels of p-JNK, p-c-Jun, and Caspase-3 proteins in the left atrial tissues of the MR-AF group were higher. Myocardial cell damage was more severe in the MS-AF group, and the protein expression level of Bcl-2 was higher. Conclusion Different MVD have distinct hemodynamic characteristics. The myocardium of the left atrium in MR-AF patients is more prone to apoptosis, possibly through the activation of the TGF-β1/JNK signaling pathway.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective:To investigate the effect of FOXQ1 expression on chemoresistance in colorectal cancer and analyze its regulatory role in SIRT1 expression and p53 deacetylation under DNA damage response(DDR)condi-tions.Methods:qRT-PCR was used to detect FOXQ1 mRNA expression levels in SW620 cells and SW620 cells stimulated with cisplatin(CDDP).Lentiviral vectors were constructed for FOXQ1 overexpression and RNA interference.The cells were divided into three groups:FOXQ1 overexpression group(oe-FOXQ1),FOXQ1 RNA interference group(sh-FOXQ1),and a control group transfected with an empty vector(NC).The half-maximal inhibitory concentration(IC50)of CDDP in each group was determined using the CCK-8 assay.Apoptosis level and cell viability were assessed using the Annexin V-APC/7-ADD apoptosis detection kit and Calcein/PI staining.Western blot analysis was performed to evaluate the effect of FOXQ1 on SIRT1 expression and acetylated p53 levels.The SIRT1 pathway inhibitor(S)-Selisi-stat was introduced to observe changes in p53 acetylation levels.Results:Compared to normal colon tissues,FOXQ1 expression was significantly upregulated in SW620 cells(P＜0.05),and low-dose CDDP stimulation further en-hanced its expression(P＜0.05).After 24 hours of CDDP treatment,the IC50 values for the oe-FOXQ1,sh-FOXQ1,and NC groups were 58.3 μmol/L,36.4 μmol/L,and 43.7 μmol/L,respectively,with statistically significant differences among the groups(P＜0.05).Compared to the NC group,the oe-FOXQ1 group showed a decrease in late apoptotic cell count(P＜0.05),while the sh-FOXQ1 group exhibited an increase(P＜0.05).Cytotoxic fluorescence staining re-vealed that the proportion of cell death was lower in the oe-FOXQ1 group and higher in the sh-FOXQ1 group com-pared to the NC group(P＜0.05).Protein expression analysis showed that FOXQ1 and SIRT1 levels were higher in the oe-FOXQ1 group and lower in the sh-FOXQ1 group compared to the NC group(P＜0.05).FOXQ1 overexpression pro-moted p53 deacetylation,while the addition of the SIRT1 pathway inhibitor(S)-Selisistat restored p53 acetylation levels(P＜0.05).Conclusion:FOXQ1 promotes p53 deacetylation by upregulating SIRT1 expression,thereby inhibiting DDR-induced apoptosis.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To explore the risk factors for urinary tract infection(UTI)after benign prostatic hyperpla-sia(BPH)surgery,and construct a high-efficiency risk-prediction model based on machine learning algorithms(MLA).Methods This retrospective study included 200 cases of BPH surgically treated in Xinyu Hospital of Traditional Chinese Medicine from May 2020 to April 2023.Twenty-three cases were included in the UTI group,and 177 were enrolled into the non-UTI group.The relevant data were collected and analyzed for the statistically significant factors by univariate logistic analysis by using the SPSS software,MLA-based logistic regression,back-propagation(BP)neural networks and decision classification and regression tree(CRT).And the predictive values of the models established via different algorithms using the area under the receiver operating characteristic curve(AUC)were compared.We assessed the prediction accuracy of the models and identified one with the best prediction efficiency based on the mean absolute error(MAE).Results Univariate analysis indicated statisti-cally significant differences between the UTI and non-UTI groups in age,comorbid diabetes mellitus(DM),urinary catheter-in-dwelling time,prostate volume,preoperative catheterization,preoperative IPSS(P＜0.05).The independent predictive varia-bles for UTI after BPH surgery were shown to be age,IPSS,comorbid DM and prostate volume by the method of multivariate lo-gistic regression model(P＜0.05).Age,urinary catheter-indwelling time,prostate volume and IPSS were assessed as the influ-ence factors by the CRT model(P＜0.05),and prostate volume,IPSS,age and urinary catheter-indwelling time were assessed as the influence factors by the BP neural network model(P＜0.05).Among the 3 risk-prediction models,the one constructed with the BP neural networks exhibited the best prediction efficiency(AUC:0.992,the optimal truncation value:0.912,corre-sponding sensitivity and specificity:0.957 and 0.955).Conclusion The risk-prediction model constructed by MLA and BP neural networks based on the characteristic factors of age,preoperative urinary retention catheterization,urinary catheter-indwell-ing time,IPSS and comorbid DM has a high predictive value for UTI after BPH surgery which can be applied to the identification and management of such high-risk population.

Aim To explore the neuroprotective effects of salidroside on Parkinson's disease(PD)through modulation of inflammatory responses and the underly-ing mechanisms.Methods Mice were divided into five groups:healthy control group,1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)disease group,low-dose Rhodioloside intervention group,medium-dose salidroside intervention group,and high-dose salidro-side intervention group.MPTP-induced PD mouse model was established,and salidroside intervention was administered.Behavioral changes,inflammatory cyto-kine levels,autophagy-related protein expression,and neurons were observed through histological analysis and immunohistochemical staining.Results After MPTP treatment,mice exhibited significant behavioral chan-ges,increased pro-inflammatory cytokines,decreased anti-inflammatory cytokines,reduced autophagy-related proteins,and evident pyroptosis.Salidroside interven-tion alleviated these changes in a dose-dependent man-ner.Conclusions Salidroside exerts neuroprotective effects on PD by alleviating inflammatory responses and promoting autophagy,thereby protecting neurons.

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.

This study was aimed at understanding the relationships among the drug resistance and genome characteristics of group A Streptococcus in Jiangsu Province.A total of 149 group A Streptococcus strains were collected from hospitals between 2016 and 2023.Thirteen antimicrobial minimal inhibitory concentrations were detected with the micro-dilution broth method.The GAS strains were typed with emm genotyping analysis and whole genome sequencing,to determine the carriage rates of drug resistance genes and the evolutionary relationships among strains.The resistance rates of 149 GAS strains to erythromy-cin,tetracycline,and clindamycin exceeded 90％,whereas the strains showed sensitivity to 8 different antibiotics,including penicillin.Notably,the resistance rates to erythromycin,tetracycline,and clindamycin consistently increased over time.All strains were classified into 9 emm types,among which emm12 accounted for the highest proportion(77/149;51.68％).Signifi-cant statistical differences were observed among emm types,in terms of the drug resistance rate,number of resistant species,and prevalence of drug resistance genes.Furthermore,SNP evolutionary tree analysis revealed 3 distinct clusters within the GAS strains:emm12,emm1,and other emm types.emm 12 and emm1 were the dominant GAS strains in Jiangsu Province.Most isolates were resistant to erythromycin,tetracycline,and clindamycin.Differences in phenotypes and genomic characteris-tics were observed among emm types.

Objective To investigate the relationship between cystatin C(CysC)/prealbumin(PAB)ratio and lung function and chronic obstructive pulmonary disease(COPD)assessment test(CAT)score in patients with COPD.Methods A total of 216 COPD patients admitted to the hospital from February 2021 to February 2024 were selected as the study group,and 150 healthy subjects were selected as the control group during the same period.CysC and PAB levels were detected by immunoturbidimetry,CysC/PAB ratio was calculated,lung function was detected and CAT scores were recorded.Pearson correlation was used to analyze the rela-tionship between CysC/PAB ratio,lung function and CAT score in COPD patients.Results The CysC and CysC/PAB ratio in the study group was significantly higher than that in the control group,and the level of PAB was significantly lower than that in the control group,with statistical significance(P＜0.05).The forced expiratory volume in the first second as a percentage of predicted value(FEV1％pred),the percentage of pre-dicted forced vital capacity(FVC％pred)and the ratio of the first second forced expiratory volume to forced vital capacity(FEV1/FVC)of the study group were lower than those of the control group,and the CAT score of the study group was higher than that of the control group,with statistical significance(P＜0.05).The Cy-sC/PAB ratio and CAT score of COPD patients with the global initiative for chronic obstructive lung disease(GOLD)grade 4 were significantly higher than those with GOLD grade 3,GOLD grade 2 and GOLD grade 1,and the difference was statistically significant(P＜0.05).The ratio of CysC/PAB in very severely affected pa-tients was higher than that in severely affected,moderately affected and mildly affected patients,while the ra-tio of FEV1％pred,FVC％pred and FEV1/FVC was lower than that in severely affected,moderately affected and mildly affected patients,and the difference was statistically significant(P＜0.05).In COPD patients,Cy-sC/PAB ratio was negatively correlated with FEV1％pred,FVC％pred,FEV1/FVC,and positively correlated with CAT score(P＜0.05).Conclusion CysC/PAB ratio is highly expressed in COPD patients,and its level is related to lung function and CAT score,which can reflect the degree of disease and quality of life in COPD patients to a certain extent.

Objective To explore the risk factors for urinary tract infection(UTI)after benign prostatic hyperpla-sia(BPH)surgery,and construct a high-efficiency risk-prediction model based on machine learning algorithms(MLA).Methods This retrospective study included 200 cases of BPH surgically treated in Xinyu Hospital of Traditional Chinese Medicine from May 2020 to April 2023.Twenty-three cases were included in the UTI group,and 177 were enrolled into the non-UTI group.The relevant data were collected and analyzed for the statistically significant factors by univariate logistic analysis by using the SPSS software,MLA-based logistic regression,back-propagation(BP)neural networks and decision classification and regression tree(CRT).And the predictive values of the models established via different algorithms using the area under the receiver operating characteristic curve(AUC)were compared.We assessed the prediction accuracy of the models and identified one with the best prediction efficiency based on the mean absolute error(MAE).Results Univariate analysis indicated statisti-cally significant differences between the UTI and non-UTI groups in age,comorbid diabetes mellitus(DM),urinary catheter-in-dwelling time,prostate volume,preoperative catheterization,preoperative IPSS(P＜0.05).The independent predictive varia-bles for UTI after BPH surgery were shown to be age,IPSS,comorbid DM and prostate volume by the method of multivariate lo-gistic regression model(P＜0.05).Age,urinary catheter-indwelling time,prostate volume and IPSS were assessed as the influ-ence factors by the CRT model(P＜0.05),and prostate volume,IPSS,age and urinary catheter-indwelling time were assessed as the influence factors by the BP neural network model(P＜0.05).Among the 3 risk-prediction models,the one constructed with the BP neural networks exhibited the best prediction efficiency(AUC:0.992,the optimal truncation value:0.912,corre-sponding sensitivity and specificity:0.957 and 0.955).Conclusion The risk-prediction model constructed by MLA and BP neural networks based on the characteristic factors of age,preoperative urinary retention catheterization,urinary catheter-indwell-ing time,IPSS and comorbid DM has a high predictive value for UTI after BPH surgery which can be applied to the identification and management of such high-risk population.