AIM: To investigate the effect and potential mechanism of liraglutide(LIR)combined with neural stem cells(NSCs)in alleviating diabetic retinopathy(DR)in rats.METHODS:A DR rat model was established using a high-fat diet combined with a single intraperitoneal injection of streptozotocin(STZ). Rats in the control group were fed a normal diet and received an intraperitoneal injection of citric acid-sodium citrate buffer. After modeling, the rats were divided into the control group, DR group, DR+LIR group, DR+BMSCs group, DR+NSCs group, DR+BMSCs+LIR group, and DR+NSCs+LIR group. According to the grouping instructions, rats were given intraperitoneal injection of LIR at 200 μg/(kg·d)and intravitreal injection of bone marrow mesenchymal stem cells(BMSCs), or NSCs, or the combined therapy accordingly for 8 wk. Fasting blood glucose(FBG)and serum insulin levels, as well as retinal oxidative stress indexes and serum inflammatory indexes, were detected in each group. Retinopathy was evaluated by hematoxylin-eosin(HE)staining, retinal cell apoptosis was detected by TUNEL staining, SIRT1 expression in retinal tissues was detected by immunohistochemistry, and BDNF expression in retinal tissues was detected by immunofluorescence. The transcriptional levels of cZNF532, miR-29a-3p, SIRT1, TGF-β1, NRF2, Keap1, and BDNF in retinal tissues were detected by qRT-PCR, and the protein expression levels of SIRT1, TGF-β1, SMAD2/3, p-SMAD2/3, NRF2, Keap1, p65, and p-p65 in retinal tissues were detected by Western blot. RESULTS:Compared with the other groups of rats, the retinal morphology of rats in the DR+NSCs+LIR group was significantly improved, the levels of FBG, TNF-α, IL-1β, IL-6 and MDA were decreased(all P<0.05), the serum insulin level and the levels of SOD, CAT, and GSH-Px were increased(all P<0.05), the TUNEL-positive rate of retinal cells was reduced(all P<0.05). The expression levels of cZNF532, SIRT1, NRF2, and BDNF in retinal tissue were up-regulated(all P<0.05), whereas the expression levels of miR-29a-3p, TGF-β1, p-SMAD2/3, Keap1, and p-p65 were down-regulated(all P<0.05). CONCLUSION:LIR combined with NSCs alleviates DR by regulating the cZNF532-miR-29a-3p-SIRT1 network and its downstream TGF-β/SMAD, NF-κB, and Keap1/NRF2 signaling pathways.

Objective To explore the value of a clinical diagnostic model of heart failure(HF)based on disulfidptosis-related genes.Methods The differentially expressed disulfidetosis-related genes from the training set of Gene Expression Omnibus Series(GSE)57345 were obtained,and then analyzed with Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)en-richment analysis,and Metascape disease enrichment analysis.Six male C57BL/6J mice were ran-domly divided into control group(intraperitoneal injection of normal saline)and HF group(intra-peritoneal injection of isoproterenol),with 3 mice in each group.Real-time quantitative PCR was applied to detect the expression levels of key genes.Results GO enrichment analysis revealed that the differentially expressed disulfidetosis-related genes were mainly involved in platelet aggrega-tion and other aspects.KEGG showed they were significantly enriched in tight junctions,vascular smooth muscle contraction and other signaling pathways.Metascape enrichment analysis indicated that these genes were mainly related to focal glomerulosclerosis,glomerular disease,platelet dis-ease,tumor infiltration,nephrotic syndrome and other diseases.The HF group had significantly higher heart weight-to-body weight ratio,and lower ejection fraction,fractional shortening,cardiac output and stroke volume than the control group(P＜0.05,P＜0.01).The cardiac mRNA levels of BNP and MYH10 were significantly higher[1.026±0.501 vs 0.686±0.187,P=0.038;1.469(1.782,2.670)vs 0.360(0.786,1.117),P=0.000],while those of MYL6 and TLN1 was obviously lower(0.575±0.105 vs 1.000±0.202,P=0.027;0.429±0.114 vs 1.000±0.109,P=0.000)in the HF group than the control group.Conclusion Our constructed HF diagnostic model has better di-agnostic performance.

Objective:To investigate the short-term efficacy of robotic versus laparoscopic-assisted right hemicolectomy.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 99 patients of right colon cancer who were admitted to Tianjin Medical University General Hospital from January 2020 to December 2023 were collected. There were 50 males and 49 females, aged 69(range, 26?89)years. Of the 99 patients, 41 patients undergoing robotic-assisted right hemicolectomy were divided into the robotic group, and 58 patients undergoing laparoscopic-assisted right hemicolectomy were divided into the lapa-roscopic group. Patients received robotic-assisted or laparoscopic-assisted right hemicolectomy operated by the same major surgeon. Observation indicators:(1) propensity score matching status and com-parison of clinical data of patients between the two groups after matching; (2) intraoperative and postoperative conditions.Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the nonparametic rank sum test. Propensity score matching was performed using the 1∶1 nearest neighbor matching method. The caliper value was set as 0.1. Results:(1) Propensity score matching status and comparison of clinical data of patients between the two groups after matching. Of the 99 patients, 82 patients were successfully matched, with 41 cases in each of the robotic group and the laparoscopic group. After propensity score matching, the elimination of history of abdominal operation confounding bias ensured comparability. (2) Intraoperative and postoperative conditions. After propensity score matching, the operation time of the robotic group was 215(range, 130?340)minutes, the volume of intraoperative blood loss was 50(range, 10?400)mL, the number of lymph node dissected was 21(range, 5?55), the number of intensive care unit stay was 15, time to postoperative first flatus was 3(range, 1?12)days, time to postoperative first food intake was 4(range, 2?14)days, duration of postoperative hospital stay was 8(range, 5?25)days. The above indicators of the laparoscopic group were 210(range, 140?370)minutes, 50(range, 5?150)mL, 19(range, 5?34),20, 3(range, 0?9)days, 5(range, 2?10)days, 8(range, 6?17)days, respectively. There was no significant difference in the above indicators between patients of the two groups ( Z=?0.94, ?1.87, ?1.32, χ2=1.25, Z=0.13, ?0.83, ?0.65, P>0.05). There was no patient converted to open operation in the robotic group, versus 1 patient converted to open operation in the laparoscopic group, showing no significant difference between patients of the two groups ( P>0.05). There were 6 cases in the robotic group and 4 cases in the laparoscopic group with complications, showing no significant difference between the two groups ( χ2=0.46, P>0.05). Both groups of patients achieved R 0 resection and had no readmission 30 days after surgery. The hospital expense was (11.0±1.8)×10 4 yuan of the robotic group, versus (9.0±1.7)×10 4 yuan of the laparoscopic group, showing a significant difference between the two groups ( t=?5.27, P<0.05). Conclusion:Robot-assisted right hemicolectomy is non inferior to laparoscopic-assisted right hemicolectomy in safety and efficacy, but with higher hospitalization costs.

Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

Objective By systematically reviewing the development of policies related to rural doctors and their evolution patterns,and by quantitatively analyzing the policy tools and their effectiveness levels,it aim to provide a strategic basis and reference for the high-quality development of China's rural doctor workforce.Methods 60 policies related to rural doctors enacted at the national level from March 2009 to May 2024 were collected,and a three-dimensional analysis framework based on"policy tool-policy period-policy effectiveness"was adopted to analyse the development of rural doctors in China.Results Among the 245 coded policy instruments,demand-type policy instruments accounted for the highest proportion (38.38％),followed by supply-type (31.02％) and environment-type is the least (30.61％).The types of policies are mainly circular,and the number of policies issued fluctuates significantly,with the number of policies issued during the period of high-quality development being the highest in the four periods,and the policies issued during the period of deepening and consolidation being the most specific.Conclusion It is necessary to scientifically grasp the law of evolution of policy orientation and the trend of evolution of policy instruments,rationally adjust the internal structure of policy instruments,and enhance the relevance and synergy of the policy system in order to improve the cohesion of policy effectiveness.

Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

Objective:To evaluate the clinical performance of high-risk human papillomavirus (HR-HPV) genotyping in cervical cancer screening.Methods:Between June and July 2017, a prospective cervical cancer screening cohort was established in Xiaye Town, Jiyuan City, Henan Province, China by recruiting 3 254 women aged 21 to 64 years. At baseline screening, cervical exfoliated cell specimens were collected for HR-HPV genotyping and liquid-based cytology testing. Follow-ups were conducted over a 3-year period, with cytology testing in the first and second years and both HR-HPV genotyping and cytology testing in the third year. Women meeting the referral criteria were referred for colposcopy, with cervical biopsy and histopathological diagnosis performed as necessary. The endpoint was defined as cervical intraepithelial neoplasia grade 2 (CIN2) or higher confirmed by histopathological diagnosis. The sensitivity and specificity for detecting CIN2 or higher lesions of HR-HPV genotyping were calculated, as well as the cumulative risk of developing CIN2 or higher lesions over the 4-year study period in women with different baseline HR-HPV genotyping results.Results:A total of 2 741 women were included in the statistical analysis. Baseline HR-HPV genotyping detected 453 HR-HPV positive cases (16.53%), including 98 HPV 16/18 positive cases (3.58%) and 355 other HR-HPV positive cases (12.95%). During the 4-year period, 83 cases of CIN2 or higher were diagnosed. The sensitivity and specificity of baseline HR-HPV positivity for CIN2 or higher were 89.16% (95% CI: 80.66%-94.19%) and 85.74% (95% CI: 84.36%-87.02%), respectively. The corresponding rates for HPV 16/18 positivity were 43.37% (95% CI: 33.24%-54.09%) and 97.67% (95% CI: 97.02%-98.18%). The 4-year cumulative absolute risk of CIN2 or higher was highest in the HPV 16/18 positive group (36.73%, 95% CI: 27.85%-46.62%), followed by other HR-HPV positive groups (10.70%, 95% CI: 7.87%-14.38%), and the HR-HPV negative group was the lowest (0.39%, 95% CI: 0.19%-0.76%). Conclusions:HR-HPV genotyping testing exhibits high sensitivity and specificity for detecting CIN2 or higher lesions in cervical cancer screening. It also provides a scientific basis for stratifying the individual risk of developing CIN2 or higher lesions to guide subsequent management. Therefore, the HR-HPV genotyping testing can be considered as an effective method for cervical cancer screening.

Objective:To investigate the short-term efficacy of robotic versus laparoscopic-assisted right hemicolectomy.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 99 patients of right colon cancer who were admitted to Tianjin Medical University General Hospital from January 2020 to December 2023 were collected. There were 50 males and 49 females, aged 69(range, 26?89)years. Of the 99 patients, 41 patients undergoing robotic-assisted right hemicolectomy were divided into the robotic group, and 58 patients undergoing laparoscopic-assisted right hemicolectomy were divided into the lapa-roscopic group. Patients received robotic-assisted or laparoscopic-assisted right hemicolectomy operated by the same major surgeon. Observation indicators:(1) propensity score matching status and com-parison of clinical data of patients between the two groups after matching; (2) intraoperative and postoperative conditions.Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the nonparametic rank sum test. Propensity score matching was performed using the 1∶1 nearest neighbor matching method. The caliper value was set as 0.1. Results:(1) Propensity score matching status and comparison of clinical data of patients between the two groups after matching. Of the 99 patients, 82 patients were successfully matched, with 41 cases in each of the robotic group and the laparoscopic group. After propensity score matching, the elimination of history of abdominal operation confounding bias ensured comparability. (2) Intraoperative and postoperative conditions. After propensity score matching, the operation time of the robotic group was 215(range, 130?340)minutes, the volume of intraoperative blood loss was 50(range, 10?400)mL, the number of lymph node dissected was 21(range, 5?55), the number of intensive care unit stay was 15, time to postoperative first flatus was 3(range, 1?12)days, time to postoperative first food intake was 4(range, 2?14)days, duration of postoperative hospital stay was 8(range, 5?25)days. The above indicators of the laparoscopic group were 210(range, 140?370)minutes, 50(range, 5?150)mL, 19(range, 5?34),20, 3(range, 0?9)days, 5(range, 2?10)days, 8(range, 6?17)days, respectively. There was no significant difference in the above indicators between patients of the two groups ( Z=?0.94, ?1.87, ?1.32, χ2=1.25, Z=0.13, ?0.83, ?0.65, P>0.05). There was no patient converted to open operation in the robotic group, versus 1 patient converted to open operation in the laparoscopic group, showing no significant difference between patients of the two groups ( P>0.05). There were 6 cases in the robotic group and 4 cases in the laparoscopic group with complications, showing no significant difference between the two groups ( χ2=0.46, P>0.05). Both groups of patients achieved R 0 resection and had no readmission 30 days after surgery. The hospital expense was (11.0±1.8)×10 4 yuan of the robotic group, versus (9.0±1.7)×10 4 yuan of the laparoscopic group, showing a significant difference between the two groups ( t=?5.27, P<0.05). Conclusion:Robot-assisted right hemicolectomy is non inferior to laparoscopic-assisted right hemicolectomy in safety and efficacy, but with higher hospitalization costs.

Objective By systematically reviewing the development of policies related to rural doctors and their evolution patterns,and by quantitatively analyzing the policy tools and their effectiveness levels,it aim to provide a strategic basis and reference for the high-quality development of China's rural doctor workforce.Methods 60 policies related to rural doctors enacted at the national level from March 2009 to May 2024 were collected,and a three-dimensional analysis framework based on"policy tool-policy period-policy effectiveness"was adopted to analyse the development of rural doctors in China.Results Among the 245 coded policy instruments,demand-type policy instruments accounted for the highest proportion (38.38％),followed by supply-type (31.02％) and environment-type is the least (30.61％).The types of policies are mainly circular,and the number of policies issued fluctuates significantly,with the number of policies issued during the period of high-quality development being the highest in the four periods,and the policies issued during the period of deepening and consolidation being the most specific.Conclusion It is necessary to scientifically grasp the law of evolution of policy orientation and the trend of evolution of policy instruments,rationally adjust the internal structure of policy instruments,and enhance the relevance and synergy of the policy system in order to improve the cohesion of policy effectiveness.

Objective To explore the value of a clinical diagnostic model of heart failure(HF)based on disulfidptosis-related genes.Methods The differentially expressed disulfidetosis-related genes from the training set of Gene Expression Omnibus Series(GSE)57345 were obtained,and then analyzed with Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)en-richment analysis,and Metascape disease enrichment analysis.Six male C57BL/6J mice were ran-domly divided into control group(intraperitoneal injection of normal saline)and HF group(intra-peritoneal injection of isoproterenol),with 3 mice in each group.Real-time quantitative PCR was applied to detect the expression levels of key genes.Results GO enrichment analysis revealed that the differentially expressed disulfidetosis-related genes were mainly involved in platelet aggrega-tion and other aspects.KEGG showed they were significantly enriched in tight junctions,vascular smooth muscle contraction and other signaling pathways.Metascape enrichment analysis indicated that these genes were mainly related to focal glomerulosclerosis,glomerular disease,platelet dis-ease,tumor infiltration,nephrotic syndrome and other diseases.The HF group had significantly higher heart weight-to-body weight ratio,and lower ejection fraction,fractional shortening,cardiac output and stroke volume than the control group(P＜0.05,P＜0.01).The cardiac mRNA levels of BNP and MYH10 were significantly higher[1.026±0.501 vs 0.686±0.187,P=0.038;1.469(1.782,2.670)vs 0.360(0.786,1.117),P=0.000],while those of MYL6 and TLN1 was obviously lower(0.575±0.105 vs 1.000±0.202,P=0.027;0.429±0.114 vs 1.000±0.109,P=0.000)in the HF group than the control group.Conclusion Our constructed HF diagnostic model has better di-agnostic performance.