Diabetic kidney disease （DKD）， a prevalent microvascular complication of diabetes mellitus， is characterized by intricate pathophysiological mechanisms and persistent clinical management challenges. Historically， glomerular injury has been regarded as the central pathological hallmark of DKD， with research predominantly focusing on hyperfiltration， glomerular basement membrane thickening， and podocyte dysfunction. Emerging evidence， however， underscores the renal tubule-not merely as a passive bystander but as an early initiator and pivotal driver-in DKD pathogenesis. Hyperglycemia， metabolic dysregulation， and chronic low-grade inflammation induce tubular epithelial cell injury at early disease stages. Such injury disrupts tubuloglomerular feedback， thereby elevating intraglomerular pressure and sustaining hyperfiltration. Concurrently， injured tubular cells secrete pro-inflammatory cytokines and profibrotic factors， promoting epithelia-mesenchymal transition， interstitial hypoxia， and progressive tubulointerstitial fibrosis that ultimately culminate in irreversible decline of renal function. This "tubule-first" paradigm represents a fundamental shift from the classical glomerulocentric model and redefines the conceptual framework of DKD progression. Traditional Chinese medicine（TCM）， with its inherent advantages of multi-component synergy， multi-target engagement， and systemic homeostatic regulation， has demonstrated compelling renoprotective effect， particularly in preserving tubular integrity and function， mitigating tubular cellular stress， and indirectly alleviating glomerular hemodynamic burden. Accumulating preclinical and clinical evidence supports the efficacy of numerous single herbs and standardized formulae of TCM in attenuating tubulointerstitial injury and slowing down DKD progression. This review systematically delineates the sequential pathogenic cascade-from initial tubular insult to secondary glomerular deterioration-and critically evaluates the mechanism basis and translational potential of TCM-based interventions targeting tubular resilience. We aim to provide a refined pathophysiological rationale and actionable insights for optimizing clinical strategies and accelerating the development of novel therapeutics for DKD.

Diabetic kidney disease （DKD）， a prevalent microvascular complication of diabetes mellitus， is characterized by intricate pathophysiological mechanisms and persistent clinical management challenges. Historically， glomerular injury has been regarded as the central pathological hallmark of DKD， with research predominantly focusing on hyperfiltration， glomerular basement membrane thickening， and podocyte dysfunction. Emerging evidence， however， underscores the renal tubule-not merely as a passive bystander but as an early initiator and pivotal driver-in DKD pathogenesis. Hyperglycemia， metabolic dysregulation， and chronic low-grade inflammation induce tubular epithelial cell injury at early disease stages. Such injury disrupts tubuloglomerular feedback， thereby elevating intraglomerular pressure and sustaining hyperfiltration. Concurrently， injured tubular cells secrete pro-inflammatory cytokines and profibrotic factors， promoting epithelia-mesenchymal transition， interstitial hypoxia， and progressive tubulointerstitial fibrosis that ultimately culminate in irreversible decline of renal function. This "tubule-first" paradigm represents a fundamental shift from the classical glomerulocentric model and redefines the conceptual framework of DKD progression. Traditional Chinese medicine（TCM）， with its inherent advantages of multi-component synergy， multi-target engagement， and systemic homeostatic regulation， has demonstrated compelling renoprotective effect， particularly in preserving tubular integrity and function， mitigating tubular cellular stress， and indirectly alleviating glomerular hemodynamic burden. Accumulating preclinical and clinical evidence supports the efficacy of numerous single herbs and standardized formulae of TCM in attenuating tubulointerstitial injury and slowing down DKD progression. This review systematically delineates the sequential pathogenic cascade-from initial tubular insult to secondary glomerular deterioration-and critically evaluates the mechanism basis and translational potential of TCM-based interventions targeting tubular resilience. We aim to provide a refined pathophysiological rationale and actionable insights for optimizing clinical strategies and accelerating the development of novel therapeutics for DKD.

Pancreatic duct stents are essential devices for managing chronic pancreatitis,ductal strictures,and postoperative fistula.Conventional plastic and metal stents effectively facilitate pancreatic drainage but often cause infection,restenosis,or migration upon long-term implantation.An ideal stent should provide excellent biocompatibility,efficient drainage,and controllable biodegradation.With advances in material science and medical-engineering integration,stent technology has evolved from inert implantation to intelligent degradation.Biodegradable polymers and metals,particularly magnesium alloys(Mg-Zn-Mn),offer tunable mechanical strength,corrosion resistance,and in vivo degradability.Mg-2Zn-1.0Mn alloy achieves balanced strength and corrosion control through compositional optimization and surface modification.Polymeric stents such as polylactic acid and polydioxanone demonstrate favorable drainage and avoid secondary removal.Composite biodegradable stents,exemplified by the multi-rate ARCHIMEDES model,have received international approval.Supported by 3D printing and smart functionalization-such as drug-eluting or shape-memory designs-next-generation pancreatic stents may achieve integrated functions of support,repair,and tumor inhibition.Future research should emphasize interdisciplinary material design,degradation kinetics under physiological conditions,and long-term biocompatibility to accelerate clinical translation.

Objective To explore the potential diagnostic value of protocadherin 17(PCDH17)and transducer of ERBB2,(TOB1)in gastric cancer,as well as their effects on autophagy and apoptosis in gastric cancer cells,providing novel target insights for gastric canc-er diagnosis.Methods Tissue samples were collected from 120gastric cancer patients,including cancerous and adjacent normal tissues.The expression levels of PCDH17 and TOB1 were assessed via immunohistochemistry.Overexpression of PCDH17 and TOB1 in the AGS gastric cancer cell line was analyzed using real-time fluorescence quantitative polymerase chain reaction(RT-qPCR)and Western blot.The effects of these overexpressions on cell proliferation,autophagy,and apoptosis were evaluated using CCK-8 assays,Western blot a-nalysis,and detection of autophagy and apoptosis-related proteins.Additionally,receiver operating characteristic(ROC)curve analysis was employed to evaluate the sensitivity and specificity of combined PCDH17 and TOB1 in diagnosing gastric cancer.Results The ex-pression levels of PCDH17 and TOB1 were significantly lower in gastric cancer tissues compared to adjacent normal tissues(P＜0.001),and their low expression was significantly correlated with clinical stage and lymph node metastasis(P＜0.001).In vitro experiments dem-onstrated that overexpression of PCDH17 and TOB1 could significantly inhibited the proliferation of gastric cancer cells(P＜0.001),and promoted autophagy and apoptosis through upregulation of autophagy markers LC3 and Beclin-1,along with pro-apoptotic protein BAX,while downregulating anti-apoptotic protein BCL-2.The combined overexpression of PCDH17 and TOB1 resulted in a more pronounced inhibitory effect on cell proliferation and enhanced levels of autophagy and apoptosis compared to individual overexpression(P＜0.001).The area under the curve for the combined diagnostic efficacy of PCDH17 and TOB1 was 0.887,with a sensitivity of 88.39％,and a spe-cificity of 87.24％,the diagnostic effect was superior to that of individual assays.Conclusion The low expression of PCDH17 and TOB1 is closely associated with the occurrence and progression of gastric cancer.Furthermore,the combined detection of these markers exhibits high sensitivity and specificity for gastric cancer diagnosis.The combined overexpression of PCDH17 and TOB1 had a significant synergistic effects on inhibiting proliferation while promoting autophagy and apoptosis of gastric cancer cells.PCDH17 and TOB1 can be used as po-tential diagnostic biomarkers and therapeutic targets for gastric cancer,providing new avenues for the diagnosis and targeted treatment of gastric cancer.

Objective:To analyze the iodine nutrition status of pregnant women in Weihai City before and after (2022, 2023) the iodine deficiency disorders (IDD) intervention, evaluate the effectiveness of intervention measures, and provide a scientific basis for adjusting IDD prevention strategies in the city.Methods:In May 2023, the intervention action of IDD was carried out for pregnent women in Weihai City. In April 2022 and December 2023, respectively, a cross-sectional survey method was conducted in four districts (cities) of Weihai City. Each district (city) was divided into five areas (east, west, south, north, and central) each year, and one township (street) was selected from each areas. At least 20 pregnant women were selected from each township (street) as survey subjects, and their household salt samples and random urine samples were collected to measure salt iodine and urinary iodine concentrations, and to compare the test results.Results:A total of 922 household salt samples were tested, including 530 iodized salt samples and 469 qualified iodized salt samples. The median salt iodine was 24.00 mg/kg. The coverage rate of iodized salt, the qualified rate of iodized salt, and the consumption rate of qualified iodized salt were 57.48%, 88.49%, and 50.87%, respectively. No significant difference was observed in medians salt iodine between 2022 (24.26 mg/kg) and 2023 (24.00 mg/kg, Z = - 1.58, P = 0.113). However, the coverage rate of iodized salt and the consumption rate of qualified iodized salt in 2023 werehigher than those in 2022 [73.72% (373/506) vs 37.74% (157/416), 65.22% (330/506) vs 33.41% (139/416), χ 2 = 120.90, 92.40, P < 0.001]. A total of 922 urine samples were collected from pregnant women, with a median urinary iodine of 135.90 μg/L. The median urinary iodine of pregnant women in 2022 was 113.55 μg/L. There was a statistically significant difference in medians urinary iodine among different regions ( H = 27.91, P < 0.001). The median urinary iodine of pregnant women in 2023 was 153.00 μg/L. There was no statistically significant difference in medians urinary iodine among different regions ( H = 3.33, P = 0.343). The medians urinary iodine of pregnant women in Huancui District, Wendeng District, and Rushan City in 2023 (156.60, 155.00, 140.85 μg/L) were higher than those in 2022 (93.60, 110.00, 110.70 μg/L), and the differences were statistically significant ( Z = - 5.44, - 4.92, - 5.99, P < 0.001). The median urinary iodine of pregnant women in Weihai City in 2023 showed a statistically significant difference compared to 2022 ( Z = - 7.62, P < 0.001). Conclusions:The IDD intervention measures in Weihai City have achieved good results, and the coverage of iodized salt, the consumption rate of qualified iodized salt, and the iodine nutrition level of pregnant women have improved. We should continue to implement intervention measures, improve the iodine nutrition level of key populations, and maintain a sustained elimination of IDD.

Objective:To assess the efficacy and safety of Tacrolimus（TAC）in combination with glucocorticosteroid（GC）for treating IgA vasculitis nephritis（IgAVN）in children.Methods:A retrospective analysis was conducted on pediatric patients who were diagnosed with IgAVN from January 2015 to January 2022 in Children's Hospital of Hebei Province.The patients presented with nephrotic-range proteinuria or persistent urine protein（>0.5g/24 h）despite adequate glucocorticoid and other treatments in patients who do not reach massive proteinuria levels.They were treated with TAC combined with GC. The following laboratory parameters were obtained for outcome assessment: 24-hour urinary protein excretion, serum albumin, serum creatinine levels, and fasting blood glucose measurements. The efficacy and adverse reactions of TAC were summarized.Results:A total of 97 children (55 males and 42 females) were included. The average age of diagnosis of IgA vasculitis was (8.65±2.46) years, and 95.9% of the children developed renal involvement within 30 days after diagnosis. Pathological examination of renal puncture: 5 cases of grade Ⅱa, 2 cases of grade Ⅱb, 31 cases of grade Ⅲa, 57 cases of grade Ⅲb, and 2 cases of grade Ⅳb.Remission rate at 3 months was 96.9%（94/97）.Three patients failed to achieve clinical remission who were treaed with other immunosuppressants.After 1, 3, 6 and 12 months of TAC treatment, the urine protein levels of 94 children were lower than those before treatment, and the differences were statistically significant ( P < 0.05), showing a gradual downward trend. Serum albumin levels were higher than those before treatment, and the differences were statistically significant ( P < 0.05), showing a gradual upward trend.After 3 months and 6 months of TAC treatment, the serum creatinine and fasting blood glucose of the children increased. With the remission of the disease, TAC dosage decreased, the mean values of serum creatinine and fasting blood glucose decreased after 12 months of treatment.The average treatment time of TAC was (10.8±2.6) months, the average follow-up time was (3.33±1.56) years, and the longest follow-up time was 8 years. During the follow-up period, there were no serious adverse reactions such as gastrointestinal discomfort, liver function damage and severe infection. After stopping GC and TAC treatment, 80 children got sustained remission. Conclusion:The combination of TAC and GC has been proved to be effective in treating IgAVN in children.The overall effective rate is high,and clinical remission can be achieved quickly with relatively mild adverse reactions.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.

Purpose To explore an automatic detection method for quality control performance indicators of radio frequency coils based on American College of Radiology(ACR)phantom,and verify its accuracy stability and computational efficiency.Materials and Methods A retrospective study was conducted on 50 quality control images collected based on ACR phantom in Beijing Friendship Hospital,Capital Medical University from May 2017 to July 2019.The measurement and calculation methods of signal noise ratio(SNR),percent image uniformity(PIU)and percent signal ghosting(PSG)were used to automatically calculate the above indicators using a self-designed program in Python.A simple linear regression analysis on the automatically calculated SNR,PSG and PIU values compared to the manually measured results was performed,and Bland-Altman analysis was used to calculate the percentage difference to evaluate the consistency and bias between the performance indicators calculated by the two methods.The time consumption of two detection methods was compared to verify their computational complexity and efficiency.Results There was a strong correlation between the performance indicators SNR,PSG and PIU of radio frequency coils measured and calculated automatically and manually(r=0.991 4,0.992 8 and 0.909 8,all P<0.0001).The Bland-Altman results showed that most of the data fall within the 95%confidence interval and were evenly distributed.In terms of computational complexity and efficiency,compared to the complex manual delineation and calculation of 2-3 minutes per case,automatic detection could simultaneously obtain SNR,PSG and PIU values in less than 1 second.Conclusion The automatic and manual measurement methods have good consistency,and the automatic detection method is easy to operate,which is helpful for the daily quality control work and performance monitoring of radio frequency coils.

Pancreatic duct stents are essential devices for managing chronic pancreatitis,ductal strictures,and postoperative fistula.Conventional plastic and metal stents effectively facilitate pancreatic drainage but often cause infection,restenosis,or migration upon long-term implantation.An ideal stent should provide excellent biocompatibility,efficient drainage,and controllable biodegradation.With advances in material science and medical-engineering integration,stent technology has evolved from inert implantation to intelligent degradation.Biodegradable polymers and metals,particularly magnesium alloys(Mg-Zn-Mn),offer tunable mechanical strength,corrosion resistance,and in vivo degradability.Mg-2Zn-1.0Mn alloy achieves balanced strength and corrosion control through compositional optimization and surface modification.Polymeric stents such as polylactic acid and polydioxanone demonstrate favorable drainage and avoid secondary removal.Composite biodegradable stents,exemplified by the multi-rate ARCHIMEDES model,have received international approval.Supported by 3D printing and smart functionalization-such as drug-eluting or shape-memory designs-next-generation pancreatic stents may achieve integrated functions of support,repair,and tumor inhibition.Future research should emphasize interdisciplinary material design,degradation kinetics under physiological conditions,and long-term biocompatibility to accelerate clinical translation.

Purpose To measure the spatial resolution in MRI quality control testing automatically based on the American College of Radiology(ACR)phantom using the support vector machine(SVM)method,and the feasibility,accuracy and measurement speed of this method are explored.Materials and Methods Quality control tests were performed using eight MRI devices at Beijing Friendship Hospital of Capital Medical University.A retrospective study was conducted on 71 MRI quality control test images collected based on ACR phantoms between 2017 and 2019.The images were preprocessed by binarization,extraction region of interest and so on.An SVM-based classification model was constructed for analyzing the spatial resolution of dot arrays in row and column directions.The dataset was randomly split into a training set and a test set.The generalization performance of the classification model in this study was evaluated through accuracy,precision,recall and F1 score on the test set.Comparing the results of spatial resolution measurements obtained by both manual and automatic method,we demonstrated the feasibility and accuracy of the method.Additionally,the time taken for the automatic spatial resolution measurement was recorded.Results In this study,the proposed method of automatically measuring the spatial resolution of ACR phantom test images using SVM was feasible,high accuracy and short time.In classification performance test,the accuracy of the spatial resolution of the row directional latices was 95%,the precision was 100%.The accuracy of the spatial resolution of the column directional latices was 97%,the precision was 100%.Among the test cases,the results of automatic measurements matched those of manual measurements in 13 out of 14 cases.On average,automatic spatial resolution measurement took 0.158 seconds per case.Conclusion This study achieves automatic measurement of spatial resolution in MRI quality control based on the ACR phantom using SVM method.The method demonstrates high accuracy and fast measurement speeds,holding significant implications for future rapid MRI quality control stability testing.