Objective To investigate the relationship between the comorbidity of dyslipidemia, hypertension and diabetes and lifestyle of adult residents in Hebei Province in 2018, and to provide reference for the development of chronic diseases prevention measures. Methods Using data from the surveillance of chronic diseases and their risk factors among adults in Hebei in 2018, 7 711 permanent residents aged ≥18 years were selected as the research subjects. Multivariate logistic regression analysis was used to analyze the relationship between the comorbidity of dyslipidemia, hypertension, and diabetes and lifestyle in adult residents. Results A total of 7 711 subjects aged ≥18 years were included in 2018. The comorbidity rates of hypertension and dyslipidemia, diabetes and dyslipidemia, and hypertension and diabetes were 16.88%, 7.91%, and 8.13%, respectively. The comorbidity rate of hypertension, diabetes, and dyslipidemia was 22.65%. These comorbidity rates increased with age and BMI. Multivariate logistic regression results showed that male, age, overweight/obesity, physical inactivity, daily sedentary behavior time ≥5 hours, and sleep problems were risk factors for the comorbidity of the "three highs". Conclusion The prevalence of the "three highs" comorbidities is relatively high in Hebei Province, and there are multiple common risk factors. Maintaining a healthy lifestyle and implementing comprehensive prevention and control measures are the key to improving the health level of residents.

AIM: To develop a novel gene-delivery therapeutic based on CRISPR/Cas9 genome editing technology capable of specifically targeting and knocking out the VEGFA gene, thereby achieving sustained suppression of VEGFA expression in retinal pigment epithelial(RPE)cells and providing a new strategy for gene therapy in retinal neovascular diseases.METHODS:Single guide RNAs targeting the human VEGFA gene for knockout were designed, and corresponding recombinant plasmids were constructed. A novel polymer(PTEE)was used to encapsulate the plasmids to prepare a PTEE-loaded anti-VEGFA plasmid(PLAP)gene delivery system. PTEE materials at concentrations of 0.1, 0.2, 0.4, 0.8, and 1.6 μg/μL were co-incubated with ARPE-19 cells, and the biocompatibility of PTEE was evaluated using the cell counting kit-8(CCK-8)assay. Recombinant plasmids expressing green fluorescent protein(GFP)were constructed. Lipofectamine 3000 and jetOPTIMUS®DNA transfection reagents were used as control groups, and PTEE nanomaterials were used as the experimental group to encapsulate the plasmids. When the cell confluence reached 80%, the formulations were transfected into ARPE-19 and 293T cells. GFP expression was observed under light microscopy, and the transfection efficiencies of each group were compared. ARPE-19 cells were induced under hypoxia, and PLAP was transfected into the cells. The expression level of VEGFA was detected by enzyme-linked immunosorbent assay(ELISA)to evaluate the efficacy of this novel gene delivery system.RESULTS: After co-incubation of ARPE-19 cells with different concentrations of PTEE for 24 h and 48 h, no significant effect on cell viability was observed in any group. The transfection efficiency of PLAP in ARPE-19 cells was higher than that in the Lipo3000 and jetOPTIMUS groups, with statistically significant differences(P<0.01). Hypoxia for 6 h significantly induced the upregulation of VEGFA mRNA expression in ARPE-19 cells, and under hypoxic conditions, the PTEE group exhibited a significant inhibitory effect on VEGFA expression(P<0.01).CONCLUSION:PLAP exhibits favorable biocompatibility and prominent VEGFA inhibitory effects in vitro, making it a potential candidate drug for gene therapy of retinal neovascular diseases.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To analyze the prevalence of hyperuricemia (HUA) among adults in Hebei Province and its influencing factors related to comorbidities with ^“three highs^”, and to provide a theoretical basis for the prevention and control of HUA and multi-disease co-management. Methods Data were derived from the 2018 China Chronic Disease and Risk Factors Surveillance program conducted in Hebei Province. A multi-stage stratified cluster random sampling method was used to select permanent residents aged ≥18 years. All statistical analyses were adjusted for complex weighting. Design-based logistic regression was employed to analyze factors influencing HUA prevalence, and ordinal logistic regression was used to analyze the influencing factors of HUA patients and their comorbidity with ^“three highs^”. Results The prevalence of HUA among adults in Hebei Province was 10.42%, with males showing higher rates than females (P<0.05). The highest prevalence of HUA was observed in the 18-39 age group, followed by a declining trend, and a resurgence in those aged ≥70 (P<0.05). Among HUA patients with comorbidities, isolated HUA, 1 comorbidity, 2 comorbidities, and 3 comorbidities accounted for 13.94%, 33.33%, 39.17%, and 13.56%, respectively. HUA combined with hypertension and dyslipidemia represented the highest proportion (31.07%). Analysis of the influencing factors of HUA revealed that higher education levels, obesity, central obesity, and dyslipidemia increased the risk of HUA (P<0.05). Ordinal logistic regression analysis of HUA combined with three highs showed that HUA patients aged ≥50 years, overweight individuals, and those with chronic kidney disease had a higher number of patients with three highs (P<0.05). Conclusion HUA exhibits insidious onset, and it is recommended to include uric acid testing in routine physical examinations. Targeted prevention measures, such as early uric acid testing and health education, should be implemented by Hebei authorities for populations with higher education levels, obesity, central obesity, and dyslipidemia to reduce HUA incidence. Additionally, health education and regular medical check-ups are recommended for overweight HUA patients and those with chronic kidney disease to prevent comorbidities and alleviate disease burden.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To investigate the prognostic value of peripheral blood neutrophil-lymphocyte ratio(NLR)and thioredoxin reductase(TrxR)in patients with ovarian cancer receiving immunotherapy.Methods A total of 109 patients with advanced ovarian cancer treated in the Tumor Hospital Affiliated to Nantong University from January 2021 to December 2021 were selected as the research objects.The levels of NLR and TrxR in peripheral blood before immunotherapy were detected,and the evaluation value of NLR and TrxR on short-term efficacy,progression-free survival(PFS)and overall survival(OS)in ovarian cancer pa-tients receiving immunotherapy was explored.Results The optimal cut-off values of TrxR and NLR were 4.97 U/mL and 2.49%,respectively.According to the optimal cut-off value of TrxR and NLR,the patients were divided into the high level of TrxR group(69 cases,≥4.97 U/mL)and the low level of TrxR group(40 cases,<4.97 U/mL),the high level of NLR group(72 cases,≥2.49%)and the low level of NLR group(37 cases,<2.49%).The objective response rate(ORR)of the high level of NLR group was lower than that of the low level NLR group(P<0.05),and the disease progression rate(DPR)was higher than that of the low NLR group(P<0.05).The high level of TrxR group had a significantly lower ORR and a significantly higher DPR than the low level of TrxR group(P<0.05).The median PFS and OS of the high level of NLR group were 15.0 months and 16.0 months,respectively.The median PFS and OS of the low level of NLR group were 19.0 months and 21.0 months,respectively.The median PFS and OS of the high level of TrxR group were 15.0 months and 17.0 months,respectively.The median PFS was 18.0 months and the median OS was 21.0 months in the low level of TrxR group.NLR and TrxR were the influencing factors of PFS and OS in pa-tients with ovarian cancer immunotherapy(P<0.05).Conclusion The levels of NLR and TrxR in peripheral blood can be used as important prognostic indicators for advanced ovarian cancer patients receiving immuno-therapy.The lower the levels of NLR and TrxR,the better the prognosis of ovarian cancer patients.

Objective To investigate the effect and mechanism of circular RNA nuclear receptor interacting protein 1(circNRIP1)expression on exhaustion of CD8+T cells in cervical cancer cells.Methods Real-time quantitative PCR was used to detect the expression of circNRIP1 in cervical epithelial cells HCerEpic and cer-vical cancer cells C-33A,Hela,SiHa,and CS121.C-33A cells were divided into Vector group,circNRIP1 group,and circNRIP1+miR-138-5p group,while CS121 cells were divided into sh-NC group,sh-circNRIP1 group,and sh-circNRIP1+miR-138-5p inhibitor.Human peripheral blood CD8+T cells were extracted,and C-33A cells in Vector group and circNRIP1 group were co-incubated with CD8+T cells for 24 hours(CD8+T/Vector group and CD8+T/Vector group).CS121 cells in sh-NC group and sh-circNRIP1 group were co-incu-bated with CD8+T cells for 24 hours(CD8+T/sh NC group and CD8+T/sh-circNRIP1 group).Cytotoxicity experiments were conducted to detect the killing ability of CD8+T cells,ELISA was used to detect the levels of interleukin(IL)-2,interferon(IFN)-γ,and tumor necrosis factor(TNF)-α in the cell supernatant.Flow cy-tometry was used to detect the expression of programmed death receptor-1(PD-1),T cell Immunoglobulin domain and Mucin domain protein-3(TIM3),and lymphocyte activation gene 3(LAG3)in CD8+T cells.Dual luciferase reporter gene experiments were conducted to verify the targeting relationship between circNRIP1 and miR-138-5p,as well as the targeting relationship between miR-138-5p and PD-L1.Results The expres-sions of circNRIP1 in C-33A,Hela,SiHa,and CS121 cells were significantly higher than those in HCerEpic(P＜0.05).The killing ability of CD8+T cells against C-33A cells in the circNRIP1 group was lower than their killing ability against Vector group cells.The levels of IL-2,IFN-γ,and TNF-α secreted by CD8+T cells in the CD8+T/circNRIP1 group were significantly lower than those in the CD8+T/Vector group(P＜0.05),and the levels of PD-1,LAG-3,and TIM-3 expressed by CD8+T cells in the CD8+T/circNRIP1 group were al-so significantly higher than those in the CD8+T/Vector group(P＜0.05).The killing ability of CD8+T cells against sh-circNRIP1 group CS121 cells was higher than their killing ability against sh-NC group cells(P＜0.05).The levels of IL-2,IFN-γ,and TNF-α secreted by CD8+T cells in the CD8+T/sh-circNRIP1 group were significantly higher than those in the CD8+T/sh-NC group(P＜0.05).The PD-1,LAG-3,and TIM-3 levels of CD8+T cells in the CD8+T/sh-circNRIP1 group were also significantly lower than those in the CD8+T/sh-NC group(P＜0.05).The results of the dual-luciferase reporter gene experiment showed that miR-138-5p was the target gene of circNRIP1,and PD-L1 was the target gene of miR-138-5p.Conclusion circNRIP1 can in-duce the exhaustion of CD8+T cells by upregulating the expression of PD-L1.

Objective To investigate the expression of circular RNA ubiquitin-associated protein 2(circ-UBAP2)and RAS-related C3 botulinum toxin substrate 1(Rac1)in cervical cancer tissues and their relation-ship with radiotherapy efficacy and prognosis.Methods A total of 96 patients with cervical cancer admitted to the hospital from January 2019 to May 2021 were selected as the research subjects.Detect the expression of circ-UBAP2 and Rac1 in the cancer tissues and adjacent tissues of the patients.The clinical data of the patients were recorded.According to the radiotherapy efficacy,they were divided into patients with effective radiother-apy(n=62)and patients with ineffective radiotherapy(n=34),and the relationship between the expressions of circ-UBAP2 and Rac1 and the radiotherapy efficacy was analyzed.The survival conditions of the patients were followed up for 3 years and they were divided into the survival group(n=81)and the death group(n=15),and the clinical data of the two groups were compared.The relationship between the expressions of circ-UBAP2 and Rac1 and the survival prognosis of patients was analyzed by Kaplan-Meier.The risk factors influ-encing the prognosis of patients were analyzed by Cox regression.Results The circ-UBAP2 expression and the positive rates of Rac1 expression in cancer tissues were both higher than those in adjacent tissues,and the difference was statistically significant(P＜0.05).The effective rate of radiotherapy in patients with high ex-pression of circ-UBAP2 and Rac1 in cancer tissues was lower than that in patients with low expression of circ-UBAP2 and Rac1,and the difference was statistically significant(P＜0.05).The 3-year overall survival rate and average survival duration of patients with high expression of circ-UBAP2 and Rac1 in cancer tissues were lower than those of patients with low expression of circ-UBAP2 and Rac1,and the difference was statistically significant(P＜0.05).There were statistically significant differences in clinical stage,tumor differentiation degree,expressions of circ-UBAP2 and Rac1,and the proportion of lymph node metastasis between the two groups(P＜0.05).The results of Cox regression analysis showed that clinical stage Ⅱ B-Ⅲ,poorly differen-tiated tumor degree,high expression of circ-UBAP2 and Rac1,and lymph node metastasis were risk factors af-fecting the prognosis of patients(P＜0.05).Conclusion circ-UBAP2 and Rac1 are abnormally highly ex-pressed in cervical cancer tissues and are related to the radiotherapy efficacy and prognosis.

Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.