Diabetic kidney disease （DKD）， a common complication of diabetes mellitus， is a leading global cause of end-stage renal disease （ESRD）. Current therapeutic strategies primarily focus on symptomatic management but exhibit limited efficacy in halting disease progression to ESRD， and some drugs carry non-negligible toxic side effects. Traditional Chinese medicine （TCM） has a long history in treating DKD， with single TCM and TCM compounds demonstrating unique advantages in multi-target， multi-pathway， and multi-effect therapeutic interventions. Tripterygium wilfordii （TW）， known for its effects in promoting blood circulation， dredging collaterals， dispelling wind， removing dampness， reducing swelling， and alleviating pain， contains bioactive components such as Tripterygium glycosides （TWG）， triptolide （TPL）， tripdiolide （TPD）， and celastrol （CEL）. The active ingredients possess various functions， including regulating immune-inflammatory balance， ameliorating renal fibrosis and glomerulosclerosis， combating oxidative stress， protecting podocytes， and improving glucose and lipid metabolism， all of which play a significant role in the treatment of DKD. This review summarized the mechanisms underlying the therapeutic effects of T. wilfordii and its active ingredients on DKD， aiming to provide insights for clinical management and novel drug development of DKD.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

Objective:To investigate the impact of different CT reconstruction kernels on the quantitative analysis of small pulmonary vessels in patients with chronic obstructive pulmonary disease (COPD) and high-risk patients.Methods:This study was a cross-sectional study. Clinical and imaging data of 73 COPD and high-risk patients visiting the China-Japan Friendship Hospital between March and April 2024 were retrospectively analyzed. All patients underwent high-resolution CT of the chest and pulmonary function tests, with the ratio of forced expiratory volume in one second to forced vital capacity (FEV 1/FVC) obtained. The raw CT data were reconstructed using different kernels: the FC86 group used the adaptive iterative dose reduction(AIDR) 3D standard lung sharp reconstruction algorithm, the FC18 group used the AIDR 3D standard Body standard reconstruction algorithm, the advanced intelligent clear-IQ engine(AiCE) Lung group used the AiCE deep learning reconstruction algorithm for lung, and the AiCE Body group used the AiCE deep learning reconstruction algorithm for body. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and image noise were calculated. The pulmonary vessel segmentation & Measurement software was used to segment and extract pulmonary arteries and veins of four groups in thin-slice whole-lung CT imaging, obtaining the ratio of small pulmonary arteries (%V artery<5) and the ratio of small pulmonary veins (%V vein<5). The One-way repeated measures ANOVA or Friedman test was used to compare the differences in SNR, CNR, image noise, %V artery<5, and %V vein<5 among the four groups, followed by Bonferroni post hoc or Bonferroni-Dunn test with P-value correction to analysis differences between subgroups. The correlations between %V artery<5 and FEV 1/FVC, as well as between %V vein<5 and FEV 1/FVC were analyzed using Spearman rank correlation analysis in all four groups. Results:The overall differences in image noise, SNR, and CNR in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). Except for the difference in CNR values between the AiCE Lung group and the FC18 group, which was not statistically significant ( P=0.192), all differences were statistically significant ( P<0.016 7). The overall differences in %V artery<5 values and %V vein<5 values in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). The %V artery<5 and %V vein<5 values in the FC18 group were lower than those in the AiCE Lung, AiCE Body, and FC86 groups ( P<0.016 7), and the rest of the differences were not statistically significant ( P>0.016 7). %V artery<5 and %V vein<5 were positively correlated with FEV 1/FVC in all 4 groups ( P<0.05), with the highest correlation coefficient between %V vein<5 and FEV 1/FVC in the AiCE Body group ( r=0.501, P=0.001). Conclusions:DLR-AiCE-based kernel reconstruction optimizes image quality and significantly affects the results of quantitative parameters of small pulmonary vessels. The reconstruction kernel prioritized for quantitative analysis of small vessels within the lungs in COPD based on the CT scanner in this study is AiCE Body.

Objective To investigate the value of contrast-enhanced ultrasound(CEUS)liver imaging reporting and data system version 2017(LI-RADS v2017)in the differential diagnosis between hepatocellular carcinoma(HCC)and other hepatic malignancies(OM)less than or equal to 3 cm.Methods The clinical and imaging data of 163 liver lesions less than or equal to 3 cm in 126 patients with pathologically-confirmed liver malignancy were retrospectively analyzed.The patient underwent CEUS from Jan.2018 to Jun.2022 in our hospital,including 133 with HCC and 30 with OM.Nodules were classified based on the CEUS features according to the CEUS LI-RADS v2017.The evaluation of CEUS characteristics and CEUS LI-RADS v2017 in differential diagnosis of HCC and OM were calculated based on pathological findings.Results There were significant differences in the characteristics of arterial phase enhancement,timing of washout onset and washout degree between the HCC group and the OM group(all P＜0.001).The HCC group was mainly LR-3(20 lesions,15.04%),LR-4(25 lesions,18.80%)and LR-5(82 lesions,61.65%),and the OM group was mainly LR-M(28 lesions,93.33%).The specificity and positive predictive value of late washout for HCC were 93.33%(28/30)and 98.06%(101/103),respectively;and the sensitivity of early washout for OM was 93.33%(28/30).With LR-5 as the criterion to diagnose HCC,the sensitivity was 61.65%(82/133),the specificity was 93.33%(28/30),and the positive predictive value was 97.62%(82/84);with LR-4/5 as the criterion to diagnose HCC,the sensitivity was 80.45%(107/133),the specificity was 93.33%(28/30),and the positive predictive value was 98.17%(107/109),with the sensitivity of LR-4/5 being significantly higher than those of LR-5(P=0.001).With LR-M as the criterion to diagnose OM,the sensitivity was 93.33%(28/30)and the specificity was 95.49%(127/133).Conclusion The CEUS LI-RADS v2017 can effectively distinguish HCC from OM less than or equal to 3 cm.LR-5 has a low sensitivity for HCC,while LR-4/5 can improve the sensitivity for HCC.

Immunoglobulin A nephropathy （IgAN） is a common primary glomerular disease and a frequent cause of chronic renal failure. Tripterygium wilfordii is a traditional Chinese herbal medicine， which possesses the effects of promoting blood circulation， relieving swelling and pain， and dispelling wind and dampness. Modern pharmacological studies have shown that T. wilfordii multiglucoside exhibit anti-inflammatory and immunomodulatory effects， inhibit mesangial cell proliferation， protect podocytes， ameliorate endothelial cell injury， and regulate gut microbiota disturbances. Triptolide also possesses anti-inflammatory and immunomodulatory properties， suppresses mesangial cell proliferation， and protects podocytes. Celastrol demonstrates anti- inflammatory and immunomodulatory functions as well as the ability to improve endothelial cell damage. Through these mechanisms， T. wilfordii and its active components can play a role in alleviating clinical symptoms and delaying disease progression in the treatment of IgAN. Future research should focus on in-depth analysis and mechanistic investigation of these active ingredients， promote high-quality clinical studies， systematically evaluate the synergistic effects among them， and emphasize strategies for reducing toxicity and enhancing efficacy， thereby providing more comprehensive and reliable evidence-based foundations for the clinical treatment of IgAN.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective　To detect clustered regularly interspaced short palindromic repeats (CRISPR) in Listeria monocytogenes, and analyze the structure and homology of CRISPR loci. Methods Totally 34 strains of Listeria monocytogenes isolated in our laboratory were identified, PCR amplified and sequenced. The repeat sequence structure and spacer sequence homology in CRISPR loci were analyzed by bioinformatics software. Results A total of 7 CRISPR loci were detected in 34 strains. The mutation rate of the first 2 and last 2 bases of the Repeat sequence of CRISPR loci was higher, while the mutation rate of the middle part was lower. Seven CRISPR sites form eight CRISPR structural types, among which the Repeat sequences of CRISPR1 and CRISPR2 are relatively conserved, while the Repeat sequences of CRISPR1 and CRISPR5 can form dumbbell shaped secondary structures. The number of Spacer sequences contained in each CRISPR site ranges from 2 to 15, with an average of 2.43. The 136 Spacer sequences detected were not only homologous to Listeria plasmids and bacteriophages, but also homologous to uncultured virus sequences, staphylococcal bacteriophages, and Listeria innocua. The same CRISPR genotype did not show large-scale clustering, but some strains in the same year were in the same evolutionary cluster with close genetic relationships. Conclusion The CRISPR structure of Listeria monocytogenes in this study exhibits high specificity, and its homology with bacteriophages provides a theoretical basis for the application of bacteriophages in the control and prevention of Listeria monocytogenes.

To enhance the trustworthiness,security,and convenience of research data management and pro-mote the deep utilization of clinical research data,it introduces core technologies such as data sandboxing,ze-ro-trust architecture,elastic resource scheduling in cloud computing,and data lakes to construct a clinical research trusted data space with trusted management,resource interaction,and value co-creation capabilities.This trusted data space provides a secure and efficient platform for data processing and analysis through strict network access control,dynamic authentication,data anonymization,and digital watermarking technologies.It ensures the secure flow and precise traceability of research data throughout its lifecycle,effectively facilitating resource interaction and value co-creation.The implementation offers a valuable technical reference and practical guidance for other hospitals aiming to build trusted research data platforms.

Objective To analyze the potential biological relationship between Alzheimer disease(AD)and chronic periodontitis(CP)by bioinformatics.Methods We analyzed two datasets of AD and CP from the Gene Expression Omnibus database,and differentially expressed genes(DEGs)were identified from these datasets.Weighted gene co-expression network analysis(WGCNA)was used to identify the most relevant modules.Functional enrichment analysis of shared genes was performed,and a protein-protein interaction(PPI)network was constructed.MCODE was used to identify key modules,and machine learning was used to discover key genes.In addition,Gene Set Enrichment Analysis(GSEA)and CIBERSORT were used to investigate KLRB1-related molecular pathways and immune cell distribu-tion.Results The study identified 18 genes common to both AD and CP.MCODE analysis revealed five pivotal genes,machine learning identified 13 genes for AD,eight for CP,and KLRB1 was determined as a common gene for AD and CP.GSEA demonstrated the intricate involvement of these genes in disease-related pathways.Immunocellular analysis underscored a significant association between KLRB1 and γδT cells.Conclusion This research highlighted KLRB1 as a key gene for AD and CP,providing new insights into their molecular linkages.

Objective To explore the effect of maternal exercise on blood pressure,cardiac pheno-type and susceptibility to myocardial is chemia/reperfusion(MI/R)injury in adult male offsprings of mice.Methods Pregnant mice were randomly divided into a sedentary group(p-Ctr)and an exercise group(p-EX),each of 12.The exercise group underwent daily 60-minutenon-weight bearing swim-ming from gestational day(GD)1 to 18,6 days a week.Then,their male offsprings at 3 months of age(3M)were selected as the research subjects,namely the Ctr-3M group and the EX-3M group,with 12 mice in each group.The MI/R model was established by ligation of the anterior descending branch of the left coronary artery(LAD)surgery(30 min of ischemia,24 h of reperfusion).Then,the systolic blood pressure(SBP),diastolic blood pressure(DBP),and mean arterial pressure(MAP)were monitored non-invasively via tail artery blood pressure measurement,while the cardiac function was detected by using the small animal ultrasound.Moreover,the cardiac morphology and col-lagen volume fraction(CVF)of myocardium was observed by HE staining and Masson staining,respec-tively.Meanwhile,the cross-sectional area(CSA)of myocardial cells and myocardial infarction area(INF/AAR)was measured using WGA staining and Evans Blue-TTC double staining,accordingly.What's more,the apoptosis index(AI)of myocardial cells and serum cardiac troponin I(cTnI)were de-tected by using TUNEL staining and ELISA,respectively,while the expression levels of Bax and Bcl-2 proteins were determined by using Western blotting.Results 1)From GD11 to GD19,the body weight of females in the p-EX group was always significantly lower than that in the p-Ctr group(GD11,GD13;P<0.05;GD12,GD14～GD19;P<0.01),but there was no significant difference in the litter size and abortion rate(P>0.05).2)There were no significant differences between the EX-3M and Ctr-3M groups in the heart weight(HW),body weight(BW)and heart weight to body weight ratio(HW/BW),SBP,DBP,MAP,myocardial CVF,and CSA of male offsprings(P>0.05).After MI/R surgery,in both p-Ctr and p-EX groups,myocardial transverse striations disappeared and cardiomyocytes were disarranged with degeneration and necrosis.Moreover,CVF of the EX-3M group was significantly lower than the Ctr-3M group after MI/R surgery(P<0.05).3)No significant differenc-es were found between the Ctr-3M and EX-3M groups in the average cardiac ejection fraction(EF),fractional shortening(FS),left ventricle internal diameter in diastole(LVIDd),and left ventricle inter-nal diameter in systole(LVIDs)(P>0.05).However,after the MI/R surgery,the postoperative EF and FS(P<0.01),and LVIDs(P<0.05)in the EX-3M group were significantly higher than the Ctr-3M group,without significant difference in LVIDd(P>0.05).4)After MI/R surgery,the average AI,INF/AAR and serum cTnI level of the EX-3M group were significantly lower than the Ctr-3M group(P<0.01 for all).5)The relative expression level of myocardial Bcl-2 protein after MI/R surgery in the EX-3M group was significantly higher than the Ctr-3M group(P<0.05),while that of myocardial Bax protein(P<0.05)and the Bax/Bcl-2 ratio(P<0.01)were significantly lower than the latter.Conclu-sions Prenatal exercise significantly reduces the susceptibility to myocardial ischemia injury in 3-month-old male mice offspring,improves the contractile function of their heart,and attenuates the degree of cardiomyocyte apoptosis and necrosis,exerting a cardioprotective effect in MI/R injury.