Diabetic kidney disease（DKD） is a chronic kidney structural and functional disorder caused by diabetes. With the global prevalence of diabetes continuing to rise， DKD has gradually become a major cause of chronic kidney disease and end-stage renal disease（ESRD）， posing a serious threat to patients' quality of life and long-term health outcomes. Studies have shown that apoptosis plays a pivotal role in the development and progression of DKD， with its mechanisms involving abnormal activation of multiple signaling pathways such as Toll-like receptor 4（TLR4）/nuclear transcription factor-κB（NF-κB）/B-cell lymphoma-2（Bcl-2）/cysteinyl aspartate-specific proteinase（Caspase）-3， protein kinase R-like endoplasmic reticulum kinase（PERK）/eukaryotic initiation factor 2α（eIF2α）/activating transcript factor 4（ATF4）/CCAAT enhancer-binding protein homologous protein（CHOP）， phosphatidylinositol 3-kinase（PI3K）/protein kinase B（Akt）/glycogen synthase kinase-3β（GSK-3β）， Janus kinase 2（JAK2）/signal transducer and activator of transcription 3（STAT3）， adenosine monophosphate-activated protein kinase（AMPK）/mammalian target of rapamycin（mTOR） and silent information regulator 1（SIRT1）/tumor suppressor protein 53（p53）， thereby accelerating renal pathological damage in DKD. Extensive evidence-based medical studies have confirmed that traditional Chinese medicine（TCM）， leveraging its unique therapeutic advantages of multi-target， multi-component and multi-pathway approaches， has demonstrated remarkable efficacy and favorable safety profiles in treating DKD. Recent studies have demonstrated that active components of TCM can specifically target and modulate key effectors in apoptotic signaling pathways. Meanwhile， traditional compound formulations exert synergistic effects through multiple approaches such as replenishing deficiency and activating blood circulation， detoxifying and dredging collaterals， tonifying kidney essence， and removing stasis and purging turbidity， thereby comprehensively regulating critical pathological processes including endoplasmic reticulum stress and mitochondrial apoptosis pathways. This combined therapeutic approach of molecular targeting and holistic regulation provides novel strategies for delaying the progression of DKD. Based on this， this paper provides an in-depth analysis of key apoptotic signaling pathways and their regulatory mechanisms， while systematically summarizing recent research advances regarding the therapeutic effects of TCM active components， compound formulations， and proprietary Chinese medicines on DKD through modulation of these pathways， with particular emphasis on their underlying molecular mechanisms. These findings not only elucidate the modern scientific connotation and theoretical basis of TCM in treating DKD but also establish a solid theoretical and practical foundation for promoting the wider clinical application and further research of TCM in the field of DKD treatment.

Objective: To investigate the associations between 24 hour activity and the quality of life (QoL) in children with autism spectrum disorder (ASD), and to explore their isotemporal substitution effects, providing a reference for developing intervention strategies of their QoL. Methods: From March to June 2025, 288 children with ASD from 7 special education schools in Jinan were selected by using a cluster random sampling method. The 24 hour activity was measured by using ActiGraph wGT3X-BT triaxial accelerometers, and their QoL was assessed by applying a parent proxy Pediatric Quality of Life Inventory. Multiple linear regression was employed to analyze the associations between 24 hour activity and QoL in children with ASD. Isotemporal substitution analysis was applied to analyze the dose response relationship of 24 hour activity time and the QoL scores in children with ASD. Results: Within the 24 hour activities of children with ASD, the daily time spent in sleep, sedentary behavior (SB), light physical activity (LPA), and moderate to vigorous physical activity (MVPA) were 610.49，605.80，195.49，28.22 minutes, respectively. Multiple linear regression analysis showed that, after controlling for confounding factors such as gender, age, and parental education level, the proportion of time spent in MVPA was positively associated with QoL scores ( β =1.75) in children with ASD, whereas the proportion of time spent in SB was negatively associated with QoL scores ( β =-1.00)(both P <0.01). In the dose response relationship, reallocating time from sleep, SB, and LPA to MVPA was associated with an improvement in QoL in children with ASD, with increased scores of 1.38, 1.55, 1.47, respectively; conversely, the reverse substitution was associated with a decline in QoL, and the scores decreased by 2.31, 2.99 and 2.68, respectively, with the latter demonstrating a more pronounced effect(all P <0.05). Conclusions Enhancing the QoL for children with ASD should be grounded in the overall balance of 24 hour activity. Time reallocation strategies should be implemented with an emphasis on relatively increasing MVPA and reducing SB.

ObjectiveTo observe the clinical efficacy and safety of Yishen Jiangtang decoction combined with conventional Western medicine treatment in managing stage G3A3 diabetic kidney disease （DKD） in the patients with the pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis， and to explore its mechanism of inhibiting the endoplasmic reticulum stress （ERS）-apoptosis axis and delaying renal fibrosis （RF）. MethodsA single-center， randomized， parallel-controlled clinical trial was conducted. A total of 78 patients diagnosed with stage G3A3 DKD and traditional Chinese medicine （TCM） pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis and treated in the Department of Nephrology and the Department of Endocrinology of the People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine from March 2025 to February 2026 were enrolled. They were randomly assigned at a 1∶1 ratio into a control group （conventional Western medicine treatment） and an experimental group （Yishen Jiangtang decoction combined with conventional Western medicine treatment）， with 39 patients in each group. The treatment lasted for 12 weeks. Basic demographic data and medical history were collected before and after treatment. The two groups before and after treatment were compared in terms of the following parameters： Blood urea nitrogen （BUN）， serum creatinine （SCr）， estimated glomerular filtration rate （eGFR）， urinary albumin-to-creatinine ratio （UACR）， fasting blood glucose （FBG）， triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C）. Enzyme-linked immunosorbent assay （ELISA） kits were used to measure serum glucose-regulated protein 78 （GRP78）， serum cysteinyl aspartate-specific protease-3 （Caspase-3）， and serum and urinary transforming growth factor-β₁ （TGF-β₁） levels before and after treatment. TCM symptom scores， TCM syndrome efficacy， and overall clinical efficacy were evaluated before and after treatment. Spearman correlation analysis was performed to explore the correlations of serum levels of GRP78 and Caspase-3， as well as serum and urinary levels of TGF-β1， with renal function， proteinuria， and glucose and lipid metabolism indicators in patients with DKD. In addition， safety indicators were also monitored. ResultsA total of 75 patients completed the study （38 in the control group and 37 in the experimental group）. ① Baseline data： The two groups were comparable in terms of sex and age， with no statistically significant difference. ② Efficacy outcomes： Compared with baseline levels， both groups showed reductions in BUN， SCr， UACR， FBG， TG， TC， LDL-C， and TCM symptom scores （P<0.01） and increases in eGFR level （P<0.01）. Moreover， the experimental group outperformed the control group in altering the indicators above （P<0.05）. Regarding TCM syndrome efficacy， the total response rate in the experimental group was 83.78%， which was higher than that （57.89%） in the control group （P<0.05）. Regarding overall clinical efficacy， the total response rate in the experimental group was 78.38%， which was higher than that （50.00%） in the control group （P<0.05）. ③ Mechanism outcomes： Compared with baseline levels， both groups showed declined serum levels of GRP78， Caspase-3， and TGF-β₁ and urinary level of TGF-β₁ after treatment （P<0.01）. Moreover， the experimental group showed greater declines than the control group （P<0.05）. The serum levels of GRP78， Caspase-3，and TGF-β₁ and the urinary level of TGF-β₁ in DKD patients showed positive correlations with BUN， SCr， UACR， and FBG and negative correlations with eGFR （P<0.05）. ④ Safety outcomes： Neither group showed drug-related adverse reactions， and laboratory safety parameters remained within normal ranges. ConclusionYishen Jiangtang decoction combined with conventional Western medicine treatment may safely and effectively alleviate clinical symptoms， correct glucose and lipid metabolism disorders， and protect the renal function in patients with stage G3A3 DKD and the pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis. The mechanism may be associated with inhibition of the ERS-apoptosis axis and delay of the RF process.

ObjectiveTo observe the clinical efficacy and safety of Yishen Jiangtang decoction combined with conventional Western medicine treatment in managing stage G3A3 diabetic kidney disease （DKD） in the patients with the pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis， and to explore its mechanism of inhibiting the endoplasmic reticulum stress （ERS）-apoptosis axis and delaying renal fibrosis （RF）. MethodsA single-center， randomized， parallel-controlled clinical trial was conducted. A total of 78 patients diagnosed with stage G3A3 DKD and traditional Chinese medicine （TCM） pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis and treated in the Department of Nephrology and the Department of Endocrinology of the People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine from March 2025 to February 2026 were enrolled. They were randomly assigned at a 1∶1 ratio into a control group （conventional Western medicine treatment） and an experimental group （Yishen Jiangtang decoction combined with conventional Western medicine treatment）， with 39 patients in each group. The treatment lasted for 12 weeks. Basic demographic data and medical history were collected before and after treatment. The two groups before and after treatment were compared in terms of the following parameters： Blood urea nitrogen （BUN）， serum creatinine （SCr）， estimated glomerular filtration rate （eGFR）， urinary albumin-to-creatinine ratio （UACR）， fasting blood glucose （FBG）， triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C）. Enzyme-linked immunosorbent assay （ELISA） kits were used to measure serum glucose-regulated protein 78 （GRP78）， serum cysteinyl aspartate-specific protease-3 （Caspase-3）， and serum and urinary transforming growth factor-β₁ （TGF-β₁） levels before and after treatment. TCM symptom scores， TCM syndrome efficacy， and overall clinical efficacy were evaluated before and after treatment. Spearman correlation analysis was performed to explore the correlations of serum levels of GRP78 and Caspase-3， as well as serum and urinary levels of TGF-β1， with renal function， proteinuria， and glucose and lipid metabolism indicators in patients with DKD. In addition， safety indicators were also monitored. ResultsA total of 75 patients completed the study （38 in the control group and 37 in the experimental group）. ① Baseline data： The two groups were comparable in terms of sex and age， with no statistically significant difference. ② Efficacy outcomes： Compared with baseline levels， both groups showed reductions in BUN， SCr， UACR， FBG， TG， TC， LDL-C， and TCM symptom scores （P<0.01） and increases in eGFR level （P<0.01）. Moreover， the experimental group outperformed the control group in altering the indicators above （P<0.05）. Regarding TCM syndrome efficacy， the total response rate in the experimental group was 83.78%， which was higher than that （57.89%） in the control group （P<0.05）. Regarding overall clinical efficacy， the total response rate in the experimental group was 78.38%， which was higher than that （50.00%） in the control group （P<0.05）. ③ Mechanism outcomes： Compared with baseline levels， both groups showed declined serum levels of GRP78， Caspase-3， and TGF-β₁ and urinary level of TGF-β₁ after treatment （P<0.01）. Moreover， the experimental group showed greater declines than the control group （P<0.05）. The serum levels of GRP78， Caspase-3，and TGF-β₁ and the urinary level of TGF-β₁ in DKD patients showed positive correlations with BUN， SCr， UACR， and FBG and negative correlations with eGFR （P<0.05）. ④ Safety outcomes： Neither group showed drug-related adverse reactions， and laboratory safety parameters remained within normal ranges. ConclusionYishen Jiangtang decoction combined with conventional Western medicine treatment may safely and effectively alleviate clinical symptoms， correct glucose and lipid metabolism disorders， and protect the renal function in patients with stage G3A3 DKD and the pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis. The mechanism may be associated with inhibition of the ERS-apoptosis axis and delay of the RF process.

In September 2023， the Measures for Scientific and Technological Ethics Review （Trial Implementation） was issued， revising the provisions related to the simplified procedure for ethical review in Chapter 3， Section 3. This revision of these provisions provides systematic guarantees for further optimizing ethical review work， ensuring that ethical review procedure is well-regulated， and improving scientific research efficiency. The “simplified procedure” does not mean reducing the quality and requirements of the review. Instead， based on always following internationally recognized ethical standards and emphasizing not violating national laws and regulations， improving the efficiency of ethical review and subsequent research work， and promoting the development of life sciences and medical research involving humans. In practical work， it introduces numerous new opportunities and challenges for the improvement of ethics review ability， such as new tests on the judgment and decision-making power of ethics committees， how to ensure the reliability and controllability of the conditions related to the simplified review procedure， and how to determine the basic conditions for adopting the simplified review procedure for review. Therefore， to actively respond to the challenges and possible risks brought by the simplified procedure review， efforts should be made to achieve three “unifications”， including the unification of researchers’ moral autonomy and the heteronomy of supervision implemented by relevant departments； the unification of the standard formulation of the simplified procedure review and the review work in practice； and the unification of ethical responsibility and legal responsibility.

Objective:To determine the detection rate of myopia among primary and secondary school students in Hunan Province in 2022 and to analyze the influencing factors at both the school and individual levels, thereby providing a scientific basis for developing myopia prevention and control strategies.Methods:From October to November 2022, a multi-stage stratified cluster random sampling method was employed to select students from Year 4 of primary school to Year 3 of senior high school across 14 prefecture-level (autonomous prefecture) cities in Hunan Province for vision screening and questionnaire surveys. A multilevel regression model was utilized to analyze the influencing factors of myopia at both the school and individual levels.Results:A total of 189 343 primary and secondary school students were included in this study. The overall myopia detection rate was 55.56%, with a significantly higher prevalence observed in female students (60.49%) compared to males (51.03%) and in urban students (59.12%) versus those from rural areas (53.50%). A marked upward trend in myopia prevalence was identified with advancing grade levels (trend test χ2=16 246.13, P<0.001). Multilevel regression analysis revealed that at the individual level, female gender, higher grade level, parental myopia history, daily homework duration ≥2 hours after school, improper reading/writing postures, and taking breaks only after more than 15 minutes of near work were associated with an increased risk of myopia. Conversely, adequate sleep duration, outdoor activity ≥2 hours, and outdoor breaks during recess demonstrated protective effects. At the school level, non-compliant blackboard illumination uniformity emerged as a significant risk factor for myopia development. Conclusions:The detection rate of myopia among primary and secondary school students in Hunan Province remains relatively high and is associated with multiple factors at both the school and individual levels. Targeted interventions should be implemented at different levels to mitigate the risk of myopia.

The in-depth research of artificial intelligence in the medical field has greatly improved the workflow and diagnostic ability of diagnostic radiology.This article focuses on artificial intelligence technology in the field of interventional medicine,and enumerates its potential application scenarios,including improving image analysis capabilities to assist diagnosis and predict treatment response.It also describes the challenges that need to be overcome for practical application.Finally,with the continuous development of artificial intelligence in interventional medicine,artificial intelligence will further optimize the channels of interventional medicine and bring revolutionary changes to the clinical practice of interventional medicine.

Objective To explore the effectiveness of the peripheral arterial calcification scoring system(PACSS)based on computed tomography angiography(CTA)in assessing renal function in patients with peripheral arterial disease(PAD).Methods The clinical data,CTA imaging data,and laboratory results from PAD patients who underwent lower limb artery CTA examination were retrospectively collected.The PACSS was utilized to score the calcification in both lower limb arteries.Participants were categorized into three groups based on their estimated glomerular filtration rate(eGFR)(normal group:eGFR≥90 mL/min;mild renal dysfunction group:eGFR 60-89 mL/min,and moderate to severe renal dysfunction group:eGFR＜60 mL/min).The demographic data,clinical symptoms,and comorbidities among the three groups were compared by analysis of variance(ANOVA).The Spearman correlation coefficient was employed to evaluate the relationship between eGFR,cystatin C,and PACSS score.Results The age(P＜0.001)and PACSS score(P＜0.05)of patients with renal dysfunction were significantly higher than those of patients with normal renal function.However,there were no significant differences in gender,prevalence of diabetes,hypertension,or severe limb ischemia.Spearman correlation analysis showed that eGFR was negatively correlated with PACSS score(r=-0.18 in the right lower limb,P=0.037,r=-0.24 in the left lower limb,P=0.006).In contrast,cystatin C was positively correlated with PACSS score(r=0.26 in the right lower limb,P＜0.001,r=0.22 in the left lower limb,P=0.002).Conclusion The PACSS score of lower limb artery in PAD patients is corre-lated with the severity of renal dysfunction.This finding may facilitate early warning and clinical intervention for PAD patients with renal dysfunction.

OBJECTIVE:Nowadays,machine learning algorithms are gradually being applied to predict stroke and cardiovascular disease.Compared with traditional regression models,machine learning can learn from data to achieve high prediction accuracy by exploring the flexible relationship between a large number of predictive features and outcome variables,providing a new method for the formulation of individualized treatment and rehabilitation programs.This study aims to systematically evaluate stroke functional recovery and prognosis prediction models based on machine learning,comprehensively assessing their predictive performance and clinical application potential to provide references for the development,application,and promotion of related predictive models.METHODS:This review was conducted following the PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)guidelines.Relevant literature on stroke prognosis prediction using machine learning methods was selected by searching PubMed,EMbase,Web of Science Core Collection,CNKI,WanFang,and the China Biomedical Literature Database,with the search period from January 1,2014,to July 1,2024.Two researchers independently screened the literature and extracted data based on inclusion and exclusion criteria,using the Prediction model Risk Of Bias ASsessment Tool(PROBAST)to assess model quality.RESULTS:(1)A total of 3 126 articles were obtained in the preliminary search.After screening and exclusion,18 articles were finally included.150 prediction models were constructed using 13 machine learning methods.The three most frequently used methods are Logistic Regression,Random Forest,and Extreme Gradient Boosting(XGBoost).Only one study was externally validated.Eight studies reported how the missing data were handled.(2)In terms of outcome indicators,8 studies used the combination of clinical data and imaging data to build models,9 studies only used clinical data to build models,and 1 study only used imaging data to build models.(3)Each of the 18 studies gave the most important characteristics of the study,with the most mentioned being the National Institute of Health Stroke Scale and age.All studies reported area under curve values ranging from 0.74 to 0.96,with the highest area under curve being 0.96.The overall risk of bias in all models was high.The high risk of bias in the field of model analysis was the main reason for the high risk of overall bias in all models.(4)The results of meta-analysis showed that age and National Institute of Health Stroke Scale score had significant influence on stroke prognosis,with age[MD=8.49,95％CI(6.24,10.75),P＜0.01]and National Institute of Health Stroke Scale score[MD=4.78,95％CI(2.56,7.00),P＜0.01].CONCLUSION:This study systematically evaluated the predictive model of functional recovery and prognosis of stroke based on machine learning,and all the models have good predictive potential.However,future studies should increase the sample size of the included model,adopt prospective studies,and add external validation of the model to improve the stability and prediction accuracy of the model,control the risk of bias,and contribute to the validation and promotion of the model in practical clinical applications.At the same time,the interpolation of missing values is more transparent and accurate.Although existing machine learning models show good predictive performance,it is also important to focus on the functionality and usability of the model,and the inclusion of features will reduce ease of use.We should develop easy to use model interfaces and user-friendly clinical tools to enable medical staff to better apply the model for clinical decision.

Objective:To investigate the management effectiveness of the integrated service mode of community cerebrovascular disease specialty and general practice team on stroke management.Methods:This was a randomized controlled trial. Patients with non-acute stroke who visited Fangzhuang Community Health Service Center in Fengtai District, Beijing between September 2022 and January 2023 were enrolled and randomly assigned to an integrated specialist-primary care group and a control group using a random number table method. Baseline clinical data were collected. Patients in the integrated specialist-primary care group received a collaborative care model combining stroke specialty services and primary care teams, while the control group received routine care. Neurological status, mental status, medical adherence, cognitive function, and psychological status were assessed using standardized scales at baseline, followed by evaluations every 3 months for 1 year, totaling 5 assessments.Results:A total of 142 non-acute stroke patients were included, with 71 in the specialist-primary care integrated service group, aged (69.5±7.6) years, including 43 males (60.56%), and 71 in the control group, aged (68.8±8.5) years, including 38 males (53.52%). There were no statistically significant differences in baseline clinical characteristics such as age, sex, and body mass index between the two groups (all P>0.05). Prior to the intervention, there were no statistically significant differences in the Mini-Mental State Examination scores between the two groups ( P>0.05). However, at 3, 6, 9, and 12 months post-intervention, the scores of the specialist-primary care integrated service group were significantly higher than those of the control group (all P<0.05). Before the intervention, there were no statistically significant differences between the two groups in the scores on Generalized Anxiety Disorder Scale and Patient Health Questionnaire Depression Scale (all P>0.05). At 6, 9, and 12 months post-intervention, the scores on these two scales for the specialist-primary care integrated service group were significantly lower than those of the control group (all P<0.05). There were no statistically significant differences in adherence behavior scores between the two groups before the intervention ( P>0.05), but at 6, 9, and 12 months post-intervention, the adherence behavior scores of the specialist-primary care integrated service group were significantly higher than those of the control group (all P<0.05). Conclusions:The integrated service mode of cerebrovascular disease specialists and general practice teams can effectively improve cognitive function, anxiety, depression, and compliance behavior, and is more conducive to the recovery of stroke patients in the community, which has popularization value.