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.

OBJECTIVES: The prevalence of overweight and obesity among children and adolescents continues to rise, becoming one of the most serious global public health issues of the 21st century. Given the differing growth and development environments between urban and rural children, associated risk factors also vary. This study aims to explore the distribution characteristics and influencing factors of overweight and obesity among urban and rural primary and secondary school students in Hunan Province, providing scientific evidence for targeted interventions. METHODS: A stratified, randomized cluster sampling method was used to select participants. A total of 197 084 students from primary and secondary schools across 14 prefectures in Hunan Province underwent physical examinations and questionnaire surveys. Population and spatial distribution characteristics of overweight and obesity were analyzed. Spatial distribution maps and spatial autocorrelation analyses were conducted using ArcGIS. Multivariate Logistic regression was used to identify influencing factors for overweight and obesity. RESULTS: The overall overweight and obesity rates among students in Hunan Province were 14.7% and 10.9%, respectively. Both rates were higher in urban areas than in rural counties (16.0% vs 13.9% for overweight; 12.1% vs 10.2% for obesity). Among both urban and rural students, boys had higher rates of overweight and obesity than girls. Higher-grade students had a higher overweight rate but a lower obesity rate than lower-grade students. In urban areas, the overweight and obesity rates of Han Chinese primary and secondary school students are lower than those of ethnic minority students (both P<0.05). In rural areas, the obesity rate of Han primary and secondary school students is lower than that of ethnic students (P<0.05). Across cities and prefectures, urban overweight and obesity rates ranged from 14.7% to 18.7% and 8.4% to 20.6% respectively, while rural rates ranged from 10.9% to 17.2% and 6.6% to 13.7% respectively. Spatial autocorrelation analysis revealed high-value clusters of overweight/obesity in urban areas of Changde and Zhangjiajie, and in rural areas of Loudi, Huaihua, and Shaoyang. Multivariate Logistic regression showed that gender, school stage, ethnicity, frequency of fresh vegetable intake, and sleep duration were associated with overweight and/or obesity in both urban and rural students. In urban students, frequency of fried food and fresh fruit intake, breakfast habits, physical activity on weekdays and holidays, and screen time on computers were also significant. In rural students, TV viewing time and sedentary duration were additional relevant factors. CONCLUSIONS The situation of overweight and obesity among primary and secondary school students in Hunan Province remains concerning. Greater attention should be paid to regions with high-value clusters of overweight/obesity, and targeted interventions should be developed based on urban-rural differences in influencing factors.
Humans ; China/epidemiology* ; Adolescent ; Male ; Female ; Rural Population/statistics & numerical data* ; Child ; Overweight/epidemiology* ; Students/statistics & numerical data* ; Urban Population/statistics & numerical data* ; Risk Factors ; Prevalence ; Obesity/epidemiology* ; Surveys and Questionnaires ; Pediatric Obesity/epidemiology* ; Schools

OBJECTIVES: The detection rate of scoliosis among school-aged children has been rising annually, varying by region, and has become a major public health concern affecting both physical and mental health. Its onset is multifactorial, and early screening combined with targeted interventions can alter disease progression. This study aims to investigate the prevalence and influencing factors of scoliosis among primary and secondary school students in Hunan Province, providing scientific evidence for targeted prevention strategies. METHODS: A stratified, randomized cluster sampling method was used to select 281 401 students from 14 prefecture-level cities in Hunan Province for scoliosis screening, physical examination, and questionnaire survey. The chi-square test was used for group comparisons, and trend chi-square test analyzed differences in screening positive rate by age. A multilevel regression model was applied to identify influencing factors, and ArcGIS was used to visualize spatial distribution patterns of scoliosis. RESULTS: The overall screening positive rate for scoliosis among Hunan students was 1.61%. Urban areas had a significantly higher rate than rural counties (2.81% vs 0.98%; P<0.01). The rate was equal between boys and girls (1.61% each). Underweight students had a higher rate than those with normal weight, overweight, or obesity (P<0.01). Stratified by age, urban students aged 6-18 years consistently showed higher positive rates than rural peers (P<0.001). No significant gender differences were observed at most ages (all P>0.05), except at age 11, where the females had a higher rate (1.28% vs 1.02%; P=0.048). After age 11, underweight students exhibited significantly higher positive rates than those with normal or higher BMI(all P<0.05). Across all groups, urban/rural, male/female, underweight/normal/overweight/obese, the scoliosis rate increased with age. By region, the screening positive rate ranged from 0.38% to 3.36%, with the top three being Chenzhou (3.36%), Xiangtan (2.78%), and Hengyang (2.71%), while the lowest was Xiangxi Tujia and Miao Autonomous Prefecture (0.38%). Multilevel regression analysis revealed that age (OR=1.160, 95% CI 1.135 to 1.186) and urban residence (OR=2.497, 95% CI 1.946 to 3.205) were positively associated with scoliosis risk (both P<0.01). Conversely, female gender (OR=0.931, 95% CI 0.874 to 0.993), normal nutritional status (OR=0.751, 95% CI 0.671 to 0.840), overweight (OR=0.513, 95% CI 0.447 to 0.590), obesity (OR=0.418, 95% CI 0.358 to 0.489), and engaging in ≥ 60 minutes of moderate-to-vigorous physical activity 2 to 4 days (OR=0.928, 95% CI 0.865 to 0.996) or 5 to 7 days per week (OR=0.912, 95% CI 0.833 to 0.998) were negatively associated with scoliosis risk (all P<0.05). CONCLUSIONS The prevalence of scoliosis among primary and secondary school students in Hunan Province is relatively high and is significantly associated with age, gender, urban-rural status, nutritional condition, and physical activity frequency. Targeted interventions and enhanced monitoring in high-risk regions and populations are essential to prevent and control scoliosis.
Humans ; Scoliosis/epidemiology* ; Male ; Female ; Adolescent ; China/epidemiology* ; Prevalence ; Child ; Students/statistics & numerical data* ; Rural Population/statistics & numerical data* ; Urban Population/statistics & numerical data* ; Surveys and Questionnaires ; Risk Factors ; Thinness/epidemiology*

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.

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 synthesize a hydrolysis-resistant urushiol-modified monomer(UMM)to improve the hydrolysis resistance of light-cured composite resin,while reducing the volume shrinkage rate(VS),increasing the double bond conversion rate(DC),and mitigating the potential biosafety concerns of bisphenol A glycidyl methacrylate(Bis-GMA)monomer.Methods:UMM was synthesized by modifying urushiol via an acyl chloride reaction,and its structure was analyzed and characterized using Fourier transform infrared spectroscopy(FT-IR).Control group was consisted of Bis-GMA/triethylene glycol dimethacrylate(TEGDMA)without UMM,while 10%UMM,15%UMM,and 20%UMM groups were prepared by partially replacing Bis-GMA with UMM at mass fractions of 10%,15%,and 20%,respectively.The viscosity of UMM was measured using a rheometer.The DC of light-cured composite resin in various groups was detected by FT-IR spectroscopy,and the VS was calculated.The contact angle of light-cured composite resin in various groups was measured using the sessile drop method,and the water sorption and solubility values were calculated.The mechanical properties of light-cured composite resin in various groups were tested.The in vitro cytotoxicity of light-cured composite resin in various groups was evaluated using the cell counting kit-8(CCK-8)assay.Results:The FT-IR spectra results showed that the absorption peak of the hydroxyl group at 3 402 cm-1 disappeared,while characteristic absorption peaks of-C=O and-C=C appeared at 1 745 and 1 637 cm-1,indicating that urushiol successfully reacted with acryloyl chloride to form UMM.The viscosity of UMM ranged from 25.14 to 29.43 Pa·s.Compared with control group,the DC of light-cured composite resin in 10%UMM,15%UMM,and 20%UMM groups was significantly increased(P<0.05),while the VS was significantly decreased(P<0.05),both in a dose-dependent manner.Compared with control group,the contact angle of light-cured composite resin in 10%UMM,15%UMM,and 20%UMM groups was significantly increased(P<0.05).Compared with 10%UMM group,the contact angle of light-cured composite resin in 15%UMM and 20%UMM groups was further increased(P<0.05).Compared with control group,the water sorption and solubility values of light-cured composite resin in 10%UMM,15%UMM,and 20%UMM groups were significantly decreased(P<0.05),showing a dose-dependent trend.After 24 h of water immersion,compared with control group,the flexural strength(FS)and elastic modulus(EM)of light-cured composite resin in 10%UMM,15%UMM,and 20%UMM groups were significantly decreased(P<0.05),also in a dose-dependent manner.After 7 d of water immersion,compared with control group,the FS of light-cured composite resin in 10%UMM group was significantly increased(P<0.05),while that in 20%UMM group was significantly decreased(P<0.05).Compared with 10%UMM group,the FS of light-cured composite resin in 15%UMM and 20%UMM groups was significantly decreased(P<0.05),exhibiting a dose-dependent trend.Compared with control group,the EM of light-cured composite resin in 15%UMM and 20%UMM groups was significantly decreased(P<0.05),also in a dose-dependent manner.The relative growth rate(RGR)of the L929 cells in control,10%UMM,15%UMM,and 20%UMM groups was above 90%,with no statistically significant differences among groups(P>0.05),and all cytotoxicity results were qualified.Conclusion:A novel low-viscosity monomer UMM is successfully synthesized in this study.All UMM-containing light-cured composite resin formulations exhibit higher DC,lower VS,reduced water sorption and solubility values,improved hydrolysis resistance,and low cytotoxicity.UMM can serve as a potential resin monomer to enhance the hydrolysis resistance of light-cured composite resin.

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 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.