Objective To systematically identify key risk biomolecules associated with the diagnosis of prostate cancer using multi-omics analysis methods, and to explore potential drug intervention targets. Methods Based on prostate cancer genome-wide association study data, GTEx v8 expression quantitative trait locus data, and The Cancer Genome Atlas database, this study screened for differentially expressed genes associated with prostate cancer pathogenesis through transcriptome imputation, summary data-based Mendelian randomization (SMR) analysis, colocalization analysis, and differential expression analysis.The identified differentially expressed genes were subjected to gene ontology analysis, single-cell RNA sequencing analysis, and correlation analysis with immune cell infiltration levels.Mendelian randomization (MR) was employed to investigate immune pathways and circulating metabolites associated with prostate cancer diagnosis.Potential drug targets for prostate cancer were screened using SMR analysis. Results Four differentially expressed genes associated with prostate cancer were identified, among which BHLHA15 (OR=1.08) was found to be associated with prostate cancer risk for the first time. MR analysis revealed that immune cell surface molecules and the inflammatory cytokine interleukin-17A (IL-17A) (OR=1.25) were risk factors for prostate cancer.MR analysis also indicated that higher levels of sebacate (OR=1.05) and cystine disulfide (OR=1.11) were associated with an increased risk of prostate cancer.Drug target analysis screened 14 potential target genes, among which high expression of OPRL1 was significantly correlated with poorer disease-free survival in prostate cancer patients (HR=2.00, P=0.024). Conclusion This study identified biomolecules associated with prostate cancer pathogenesis through multi-omics analysis, which may help deepen the clinical understanding of the pathogenic mechanisms underlying prostate cancer and reveal potential drug targets.

Objective To investigate the relationship between between the levels of serum malondialdehyde(MDA)and superoxide dismutase(SOD),the balance of oxidative/antioxidant stress,and the prognostic nu-tritional index(PNI)and the risk of early neurological deterioration in patients with acute ischemic stroke(AIS).Methods A total of 95 patients with suspected AIS admitted to the Second People's Hospital of Fos-han,Foshan from January to April 2023 were selected as the research subjects.Among them,71 patients who were finally diagnosed with AIS were included in the stroke group,and the remaining 24 non-AIS patients were included in the control group.According to the National Institutes of Health Stroke Rating Scale(NIH-SS)score,the stroke group was divided into the moderate-severe stroke group and the mild stroke group.Ac-cording to whether early neurological deterioration(END)occurred,it was divided into the END group and the non-END group.To analyze the correlations between the levels of serum SOD and MDA,SOD/MDA,and the PNI and the severity of stroke.The receiver operating characteristic(ROC)curve was applied to evaluate the predictive value of each index for the risk of END.By fitting the indicators with high diagnostic efficacy,a Fisher discriminant function model for evaluating the risk of END was established to verify the overall accura-cy rate.Results The levels of serum MDA and SOD,SOD/MDA and the PNI in the moderate to severe stroke group were statistically different from those in the mild stroke group(P＜0.05).There were statistically sig-nificant differences in the levels of serum MDA and SOD,SOD/MDA and the PNI among the END group,the non-END group and the control group(P＜0.05).The areas under the curve(AUC)of SOD,MDA,SOD/MDA and PNI for evaluating END were 0.692,0.727,0.777 and 0.819,respectively.The Fisher discriminant function model established by fitting the NIHSS score,the SOD/MDA and the PNI has an overall accuracy rate of 85.9％.Conclusion The END risk prediction model established by applying the Fisher discriminant function can provide early and objective reference basis for clinical prediction of END risk and has certain practical value.

Objective Integrating ideological and political education into university curricula is an effective approach for nurturing moral integrity and holistic education. This study aims to explore the effective incorporation of the “two bombs, one satellite” spirit into the ideological and political education of the Nuclear Electronics course, find an effective way to enhance student professional literacy and ideological and political awareness, and achieve collaborative educational objectives. Methods Using the Nuclear Electronics course as a case study and aligning with the educational positioning of the university and the major, objectives were established for knowledge acquisition, skill development, and ideological and political education. A case repository of ideological and political education tailored to the course was constructed by integrating ideological and political elements such as the “two bombs, one satellite” to reinforce foundational knowledge and expand into cutting-edge topics. An instructional paradigm that combines theory with practical application and integrates online and offline resources was adopted. To stimulate student engagement of learning, improve the quality of learning, and strengthen ideological and moral education, a comprehensive assessment framework was devised. Results The effectiveness of ideological and political education was evaluated by comparing the course performance between the experimental group (with curriculum ideology and politics reform) and the control group (without curriculum ideology and politics reform). The experimental group showed 20.5% and 31.3% improvements in short-answer questions and calculation problems, respectively. A comparison of survey questionnaire scores and final grades revealed a strong correlation between student awareness of curriculum ideology and politics and their academic performance. The study demonstrated that this approach increased student interest in learning, enhanced their recognition and pride in major national scientific achievements, and achieved an organic integration of knowledge impartation and value guidance. Conclusion This study confirms the effectiveness of integrating the “two bombs, one satellite” spirit into the ideological and political education of the Nuclear Electronics course. This approach provides new ideas and methods for ideological and political education in universities, achieves the goal of collaborative education, and is of great significance in improving the quality of talent cultivation in higher education.

Objective To explore the feasibility of applying artificial intelligence (AI) technology in chromosomal aberration (CA) analysis for occupational health surveillance of radiation workers and in biological dose estimation during nuclear emergency responses. Methods Peripheral blood samples from healthy volunteers were irradiated in vitro with X-rays and cobalt-60 (⁶⁰Co) γ rays. Chromosome slides were prepared using an automated harvesting and dropping device. The data training and outcome evaluation of CA analysis was performed on the AI software using chromosome images from occupational medical examination of radiation workers from the current lab or chromosome slides from blood samples irradiated with X-rays. The trained AI software was then used to assist in CA analysis and biological dose estimation among occupational medical examination of radiation workers, with results compared with manual reading and actual exposure doses. Results The trained AI software achieved a CA recognition accuracy of 95.11%. In the occupational health examination of radiation workers, the positive CA detection rate using AI + manual review was 2.25% higher than that in manual reviewing alone. The errors in biological dose estimation for ⁶⁰Co γ rays and X-rays using AI + manual review analysis were 11.86% and 7.33%, respectively, both within the acceptable 20.00% error margin. Conclusion AI + manual review can be effectively applied in CA analysis for occupational health examination and biological dose estimation during nuclear emergencies, significantly improving analysis efficiency.

Objective:To investigate the correlation between serum NOD-like receptor protein 3 (NLRP3) levels and serum lipids in metabolic-associated fatty liver disease (MAFLD) before and after a single high-fat meal.Methods:A retrospective cohort study was conducted. Sixty-three MAFLD patients (MAFLD group) and fifty-four healthy subjects (CON group) recruited from February 2019 to December 2019 at Hebei Provincial People's Hospital were included. The baseline data were compared between the two groups, and a single high-fat meal trial was conducted. The levels of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and NLRP3 were measured at 2 h, 4 h, and 6 h after fasting and a high-fat meal. Multiple linear regression analysis was used to evaluate the influencing factors of area under the operating curve (AUC NLRP3) of serum NLRP3 subjects. Logistic regression analysis was used to evaluate the correlation between serum AUC NLRP3 and the risk of MAFLD. Results:The levels of TC, TG, LDL-C, and NLRP3 were significantly higher in the fasting group than the CON group at 2 h, 4 h, and 6 h after a meal [TC (mmol/L), fasting: (5.29±1.01) vs. (4.28±0.62), 2 h: (5.24±0.98) vs. (4.25±0.62), 4 h: (5.38±1.04) vs. (4.26±0.63), 6 h: (5.54±1.07) vs. (4.41±0.65); TG (mmol/L), fasting: (2.67±0.96) vs. (0.92±0.33), 2 h: (3.91±1.35) vs. (1.69±0.59), 4 h: (5.09±1.7) vs. (1.91±0.93), 6 h: (5.36±2.27) vs. (1.75±1.03); LDL-C (mmol/L), fasting: (3.47±0.74) vs. (2.65±0.49), 2 h: (3.36±0.71) vs. (2.58±0.49), 4 h: (3.30±0.71) vs. (2.55±0.47), 6 h: (3.36±0.74) vs. (2.63±0.48); NLRP3 (ng/L), fasting: (84.63±12.96) vs. (56.71±11.37), 2 h: (106.06±17.76) vs. (69.12±14.92), 4 h: (89.78±15.98) vs. (57.74±12.34), 6 h: (80.03±13.61) vs. (54.06±10.35); P<0.001], while the HDL-C level was significantly lower than the CON group [HDL-C (mmol/L), fasting: (1.14±0.24) vs. (1.33±0.29), 2 h: (1.14±0.24) vs. (1.33±0.29), 4 h: (1.09±0.24) vs. (1.27±0.28), and 6 h: (1.05±0.26) vs. (1.29±0.30); P<0.001]. Serum AUC NLRP3 was significantly correlated with AUC TG and AUC LDL-C (AUC TG: B=7.391, 95% CI:5.662-9.12; AUC LDL-C: B=6.559, 95% CI:3.052-10.065; P<0.001) after adjusting for confounding factors, and it was identified as an independent influencing factor for MAFLD ( OR=1.039, 95% CI:1.007-1.071; P=0.015). Conclusion:The serum NLRP3 levels before and after a single high-fat meal are significantly associated with elevated TG and LDL-C levels, and may influence the progression of MAFLD.

Objective To explore the interaction mechanisms among different dimensions of online learning competence in undergraduates,providing scientific evidence for optimizing software design and online education strategies.Methods A cross-sectional study was conducted with 347 undergraduates from Kunming Medical University via an online questionnaire in October 2024.Reliability testing and exploratory factor analysis were performed using SPSS 26.0,while structural equation modeling was constructed with Amos 24.0.Results Driving force directly and positively influenced regulatory force(β=0.778,P<0.001)and reciprocal force(β=0.302,P=0.003),but had no significant direct effect on adaptive force(β=0.131,P=0.182).Regulatory force and reciprocal force both exerted direct positive effects on adaptive force(β=0.262,P=0.022;β=0.410,P<0.001).The indirect effect of driving force on adaptive force accounted for 78.1%of the total effect(P=0.007),with regulatory force showing a significant mediating role(β=0.178,P=0.023),while reciprocal force alone did not(β=0.108,P=0.060).A chain mediating effect(driving force→regulatory force→reciprocal force→adaptive force)was confirmed(β=0.124,P=0.004).Conclusion Driving force serves as the core of online learning competence,and adaptive capacity is enhanced through regulatory and reciprocal forces.To promote knowledge internalization and adaptability,it is required to optimize feedback mechanisms and deepen interactive designs in online learning platforms.

Objective:To investigate the correlation between serum NOD-like receptor protein 3 (NLRP3) levels and serum lipids in metabolic-associated fatty liver disease (MAFLD) before and after a single high-fat meal.Methods:A retrospective cohort study was conducted. Sixty-three MAFLD patients (MAFLD group) and fifty-four healthy subjects (CON group) recruited from February 2019 to December 2019 at Hebei Provincial People's Hospital were included. The baseline data were compared between the two groups, and a single high-fat meal trial was conducted. The levels of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and NLRP3 were measured at 2 h, 4 h, and 6 h after fasting and a high-fat meal. Multiple linear regression analysis was used to evaluate the influencing factors of area under the operating curve (AUC NLRP3) of serum NLRP3 subjects. Logistic regression analysis was used to evaluate the correlation between serum AUC NLRP3 and the risk of MAFLD. Results:The levels of TC, TG, LDL-C, and NLRP3 were significantly higher in the fasting group than the CON group at 2 h, 4 h, and 6 h after a meal [TC (mmol/L), fasting: (5.29±1.01) vs. (4.28±0.62), 2 h: (5.24±0.98) vs. (4.25±0.62), 4 h: (5.38±1.04) vs. (4.26±0.63), 6 h: (5.54±1.07) vs. (4.41±0.65); TG (mmol/L), fasting: (2.67±0.96) vs. (0.92±0.33), 2 h: (3.91±1.35) vs. (1.69±0.59), 4 h: (5.09±1.7) vs. (1.91±0.93), 6 h: (5.36±2.27) vs. (1.75±1.03); LDL-C (mmol/L), fasting: (3.47±0.74) vs. (2.65±0.49), 2 h: (3.36±0.71) vs. (2.58±0.49), 4 h: (3.30±0.71) vs. (2.55±0.47), 6 h: (3.36±0.74) vs. (2.63±0.48); NLRP3 (ng/L), fasting: (84.63±12.96) vs. (56.71±11.37), 2 h: (106.06±17.76) vs. (69.12±14.92), 4 h: (89.78±15.98) vs. (57.74±12.34), 6 h: (80.03±13.61) vs. (54.06±10.35); P<0.001], while the HDL-C level was significantly lower than the CON group [HDL-C (mmol/L), fasting: (1.14±0.24) vs. (1.33±0.29), 2 h: (1.14±0.24) vs. (1.33±0.29), 4 h: (1.09±0.24) vs. (1.27±0.28), and 6 h: (1.05±0.26) vs. (1.29±0.30); P<0.001]. Serum AUC NLRP3 was significantly correlated with AUC TG and AUC LDL-C (AUC TG: B=7.391, 95% CI:5.662-9.12; AUC LDL-C: B=6.559, 95% CI:3.052-10.065; P<0.001) after adjusting for confounding factors, and it was identified as an independent influencing factor for MAFLD ( OR=1.039, 95% CI:1.007-1.071; P=0.015). Conclusion:The serum NLRP3 levels before and after a single high-fat meal are significantly associated with elevated TG and LDL-C levels, and may influence the progression of MAFLD.

Objective A deep learning-based method for evaluating the quality of pediatric pelvic X-ray images is proposed to construct a diagnostic model and verify its clinical feasibility.Methods Three thousand two hundred and forty-seven children with anteroposteric pelvic radiographs are retrospectively collected and randomly divided into training datasets,validation datasets and test datasets.Artificial intelligence model is conducted to evaluate the reliability of quality control model.Results The diagnostic accuracy,area under ROC curve,sensitivity and specificity of the model are 99.4%,0.993,98.6%and 100.0%,respectively.The 95%consistency limit of the pelvic tilt index of the model is-0.052-0.072.The 95%consistency threshold of pelvic rotation index is-0.088-0.055.Conclusion This is the first attempt to apply AI algorithm to the quality assessment of children's pelvic radiographs,and has significantly improved the diagnosis and treatment status of DDH in children.

Objective To investigate whether E.coli infection increases surgical site infection and postoperative fever in comparison with other pathogens.Methods A retrospective cohort study was conducted on 506 patients who underwent urethral segment resection and end anastomosis for the bulb or posterior urethral stenosis in our department during 2011 and 2019.According to occurrence of postoperative surgical site infection(SSI)or postoperative fever(POF),they were divided into SSI group(n=19)and non-SSI group(n=487),as well as POF group(n=61)and non-POF group(n=445 patients)respectively.Multivariate logistic regression analysis and LASSO algorithm were used to screen the potential risk factors.According to the results of positive preoperative urine culture in 302 patients,they were subsequently divided into E.coli infection group(n=80)and other pathogen infection group(n=222),and after reducing potential bias with propensity score matching,finally 48 patients were assigned into E.coli infection group,and 192 into other pathogen infection groups.The differences in occurrences of SSI and POF were compared between the above 2 groups of patients.Results Multivariate logistic regression analysis and LASSO algorithm revealed that positive preoperative urine culture was an independent risk factor for predicting SSI(P=0.012)and POF(P＜0.01).Among the 302 patients with positive results in preoperative urine culture,E.coli infections was in the first rank,accounting for 26.5％.After propensity score matched treatment,the incidence of SSI in the E.coli group and other pathogen groups was 29.2％and 2.1％,respectively(P＜0.01).The incidence of POF was also higher in the E.coli infection group than the other pathogen infection group(27.1％vs 13.5％,P=0.02).Conclusion Preoperative E.coli infection may increase the risk of SSI and POF after urethroplasty when compared with other pathogen infections.

Rats ; Animals ; Urinary Bladder Neck Obstruction/pathology* ; Survivin/genetics* ; Urinary Bladder/pathology* ; Fibrosis