OBJECTIVE To establish a whole-process quality management index system for traditional Chinese medicine （TCM） reserved in the department of medical institutions， providing a reference for standardized management. METHODS An initial indicator framework was determined by collecting and analyzing relevant laws， regulations， policy documents， group standards， and literature on TCM management. Two rounds of Delphi expert consultation involving 20 experts were conducted to refine and optimize the indicator system. The analytic hierarchy process was used to construct judgment matrices and convert the indicator weights into a percentage-based system； an assessment was conducted on 14 departments with reserved TCM among the affiliated units of the Quality Management and Control Center for Traditional Chinese Medicine in Hebei Province. RESULTS The response rate for both rounds of consultation was 100%， with an expert authority coefficient of 0.89. The final quality management system of TCM reserved in the department included four first-level indicators： management （composite weight： 0.366 3）， processing （composite weight： 0.119 7）， storage （composite weight： 0.291 7） and usage （composite weight： 0.222 3）， and twenty-four second-level indicators， such as establishing an organizational structure for hospital drug quality management and having dedicated regulations for backup drugs in clinical departments. Kendall’s coefficient of concordance confirmed consistency across all levels of indicators. Based on the application of the indicator system for evaluation， the average score for the standardized management of reserved TCM in the department of medical institutions increased from 67.01 points to 85.15 points over three months. CONCLUSIONS The constructed indicator system meets the standardized management requirements for reserved TCM， enabling closed-loop management across the entire process of management， processing， storage and usage. It provides a reference for medical institutions to enhance the precision and standardization of reserved TCM management.

Background As common public facilities essential to daily life, hair and beauty salons frequently contain various airborne toxic and hazardous pollutants potentially leading to adverse health effects for salon practitioners. Objective To characterize the indoor air pollution profiles of common contaminants in hair and beauty salons in Shanghai and to evaluate the associated health risks for practitioners, in order to provide a scientific basis for strengthening the public health management in Shanghai and protecting the health of practitioners. Methods The air quality monitoring data of hair and beauty salons in Shanghai from 2016 to 2024 were obtained from the “Health Hazard Factors Monitoring Program for Public Places” of the National Institute of Environmental Health, Chinese Center for Disease Control and Prevention. Monitoring indicators included particulate matter ≤10 μm in aerodynamic diameter (PM₁₀), particulate matter ≤2.5 μm in aerodynamic diameter (PM_2.5), formaldehyde, ammonia, benzene, toluene, and xylene. Indicator compliance rates were calculated across various years in accordance with GB 9666-1996 Hygienic standard for barber shop and beauty shop and GB 37488-2019 Hygiene indicators and limit for public places; specifically, PM_2.5 was assessed against the limits stipulated in GB/T 18883-2022 Standards for indoor air quality. A questionnaire survey was conducted among salon practitioners to collect weekly working days and daily working hours. The non-carcinogenic risks associated with inhalation exposure to formaldehyde, ammonia, benzene, toluene, and xylene as well as the carcinogenic risks posed by formaldehyde and benzene were evaluated following WS/T 777-2021 Technical guide for environmental health risk assessment of chemical exposure and the U.S. Environmental Protection Agency inhalation risk model. Results The overall compliance rates of PM₁₀, formaldehyde, ammonia, benzene, and toluene in the air of hair and beauty salons in Shanghai from 2016 to 2024 were 92.13%, 96.59%, 96.15%, 94.93%, and 94.97%, respectively; the overall compliance rate of xylene was a little lower (85.92%), and the overall compliance rate of PM_2.5 was 57.18%. The P₅₀ concentrations of PM₁₀, PM_2.5, formaldehyde, ammonia, benzene, toluene, and xylene did not exceed the corresponding limits. The P₅₀ of non-carcinogenic risk indicator (hazard quotient, HQ) for formaldehyde, ammonia, benzene, toluene, and xylene were <1. The probabilities of non-carcinogenic risk HQ >1 for formaldehyde and xylene were 41.4% and 10.9%, respectively, which were higher than that of other pollutants. The P₅₀ of carcinogenic risk (CR) for formaldehyde and benzene were between 1.0×10⁻⁶ and 1.0×10⁻⁴, while the probabilities of CR >1.0×10⁻⁴ were 16.9% and 14.0%, respectively. Conclusion The overall compliance rate of common pollutant concentrations in the air of hair and beauty salons in Shanghai is high, and the hygienic condition meets the requirements of national standards. The non-carcinogenic health risks posed by formaldehyde and xylene to employees (with formaldehyde being more prominent), as well as the carcinogenic risks associated with formaldehyde and benzene, deserve heightened attention in future health supervision.

OBJECTIVE To construct a clinical inapplicability evaluation system for the instructions of oral Chinese patent medicines containing toxic decoction pieces， so as to provide references for the revision and improvement of such drug instructions and the formulation of instructions for new drugs. METHODS The initial indicator framework was determined based on policy documents and literature related to instruction registration and revision. Two rounds of Delphi consultation were conducted among 25 experts to refine and optimize the indicator system. The analytic hierarchy process was employed to construct judgment matrices and obtain indicator weights. The comprehensive weights were converted into a 100-point scale to evaluate 11 instructions of oral Chinese patent medicines containing toxic decoction pieces from the medical institution of the research team. RESULTS The average questionnaire recovery rate of the two rounds of consultation was 96%. The expert authority coefficients were 0.87 and 0.88， respectively， and the Kendall’s W was statistically significant （ P ＜0.001）. The final evaluation system comprised 4 first-level indicators （defect of toxicity identification， defect of dosage information， defect of risk warning， and defect of information guidance） and 24 second-level indicators （e.g.， failure to label toxic decoction pieces in 【warnings】， failure to indicate all decoction piece compositions， absence of medication course specifications， etc.）. The total scores of the 11 oral Chinese patent medicine instructions ranged from 15.50 to 50.87 points. The main clinical inapplicability issues included the absence of medication course specifications and the failure to provide warnings in items such as 【precautions】 for decoction pieces involving the “eighteen incompatibilities and nineteen mutual antagonisms”. CONCLUSIONS The constructed indicator system can meet the requirements for evaluating the clinical inapplicability of instructions for oral Chinese patent medicines containing toxic decoction pieces. All evaluated instructions exhibited certain clinical applicability defects. Pharmaceutical manufacturers should revise the instructions in accordance with policy requirements and clinical needs.

ObjectiveTo investigate the association between endothelin receptor type A gene （EDNRA） and congenital bilateral absence of the vas deferens （CBAVD）. MethodsThis case-control study consisted of 124 subjects with CBAVD and 100 fertile controls.Two single nucleotide polymorphisms （SNPs： rs5335 and rs1801708） in the EDNRA gene were genotyped via PCR， PCR-RFLP analysis， and direct sequencing. ResultsNo significant differences existed between EDNRA polymorphisms and CBAVD phenotype （rs1801708： P=0.220 2， 0.163 2； rs5335： P=0.805 8， 0.818 6）. However， the rs1801708-rs5335 haplotype AG was notably associated with an increased risk of CBAVD （P=0.008 6， OR=2.178， 95% CI： 1.207-3.929）. A significantly protective effect of rs1801708-rs5335 haplotype GG on CBAVD （P=0.038 5， OR= 0.671， 95% CI： 0.460-0.980） was observed. After Bonferroni correction， the result for haplotype A-G remained significant （P =0.008 6<0.012 5）， while haplotype G-G was not significant. ConclusionThe rs1801708-rs5335 AG haplotype of EDNRA is a potential risk factor for CBAVD development in Han Chinese.

ObjectiveTo investigate the effect of Sanet Vision Integrator (SVI)-based visuomotor integration training on the severity of neglect symptoms, upper limb motor function and activities of daily living (ADL) in patients with post-stroke unilateral spatial neglect (USN). MethodsFrom July, 2023 to September, 2025, 41 patients with post-stroke USN in Beijing Bo'ai Hospital were enrolled and randomly assigned to control group (n = 20) and experimental group (n = 21). Both groups received conventional rehabilitation and visual scanning training, while the experimental group received supplementary SVI-based visuomotor integration training, including saccadic, rotation and hand-eye coordination training, for eight weeks. They were assessed with Chinese Behavioral Inattention Test-Hong Kong version (CBIT-HK), Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and modified Barthel Index (MBI) before and after treatment. ResultsAfter treatment, all the scores significantly improved in both groups (|t| > 4.004, P < 0.001), and the total scores of CBIT-HK and the core visual search sub-items (star cancellation, line crossing and letter cancellation), FMA-UE and MBI were better in the experimental group than in the control group (t > 2.096, P < 0.05). ConclusionSVI-based visuomotor training can effectively alleviate the USN symptoms, broaden the span of visual attention, facilitate the functional recovery of the affected upper extremity, and improve ADL in patients after stroke.

Objective: To explore new therapeutic strategies for periodontitis, this study prepared extracellular vesicles (EVs) derived from human umbilical cord mesenchymal stem cells (hUC-MSCs) loaded with saikosaponin D (SSD) and evaluated their efficacy in a mouse model of periodontitis. Methods: This study was approved by the Medical Ethics Committee and the Laboratory Animal Ethics Committee of the unit. hUC-MSCs at logarithmic growth phase were seeded into 96 well plates and then treated with various concentrations of SSD for 24 hours. The CCK-8 assay was used to determine the SSD concentration that preserves hUC-MSC viability. Flow cytometry (FCM) assessed SSD-induced apoptosis in hUC-MSCs and determined drug loading and loading efficiency. Nanoparticle tracking analysis (NTA) and transmission electron microscopy (TEM) characterized the morphology and size of hUC-MSCs-EVs and hUC-MSCs-SSD-EVs. C57BL/6J mice were divided into five groups with six mice per group: control group, periodontitis model group (PD), PD+SSD group (2 mg/kg), PD+hUC-MSCs-EVs group (10 μg/μL) and PD+hUC-MSCs-SSD-EVs group (10 μg/μL). Administration was performed 3 times a week for 4 consecutive weeks. Micro-CT and hematoxylin-eosin (HE) staining evaluated alveolar bone resorption in periodontal tissues of a mouse model of periodontitis. RT-qPCR measured inflammatory cytokine expression in periodontal tissues of a mouse model of periodontitis. Immunofluorescence analyzed macrophage M1/M2 polarization and runt-related transcription factor 2 (RUNX2) protein expression in periodontal tissues of a mouse model of periodontitis. Results: The CCK-8 assay showed that 10 μmol/L SSD had little effect on hUC-MSCs viability (P>0.05). FCM confirmed the successful loading of SSD into EVs with a loading efficiency of 11.40%. TEM and NTA revealed that hUC-MSCs-SSD-EVs presented round or oval membranous structures with diameters ranging from 200 to 300 nm. Micro CT and HE staining showed that, compared with the PD group, the distance from cementoenamel junction to alveolar bone crest (CEJ-ABC) was markedly shortened (P<0.01）.The alveolar bone of periodontitis‑model bone volume fraction (BV/TV) and trabecular number (Tb.N) were significantly elevated in the PD+hUC-MSCs-SSD-EVs group (P<0.01). RT-qPCR and IF results showed that hUC-MSCs-SSD-EVs in periodontal tissues markedly downregulated the expression of pro-inflammatory cytokines including interleukin-1β, interleukin-6, tumor necrosis factor-α, interleukin-12 and interleukin-22 (P<0.01), upregulated the expression of the anti-inflammatory factor interleukin-10 (P<0.01), promoted the polarization of macrophages from the M1 phenotype to the M2 phenotype, and elevated the protein expression level of RUNX2 (P<0.01). Conclusion hUC-MSC-SSD-EVs effectively alleviated inflammatory responses in a mouse model of maxillary periodontitis and reduced alveolar bone loss, providing a new idea for the treatment of periodontitis.

Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F ₁-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Humans ; Arrhythmias, Cardiac/diagnosis* ; Algorithms ; Electrocardiography/methods* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Deep Learning ; Classification Algorithms

Drug resistance is one of the key factors affecting the effectiveness of cancer treatment methods, including chemotherapy, radiotherapy, and immunotherapy. Its occurrence is related to factors such as mRNA expression and methylation within cancer cells. If drug resistance in patients can be accurately identified early, doctors can devise more effective treatment plans, which is of great significance for improving patients' survival rates and quality of life. Cancer drug resistance prediction based on artificial intelligence (AI) technology has emerged as a current research hotspot, demonstrating promising application prospects in guiding clinical individualized and precise medication for cancer patients. This review aims to comprehensively summarize the research progress in utilizing AI algorithms to analyze multi-omics data including genomics, transcriptomics, epigenomics, proteomics, metabolomics, radiomics, and histopathology, for predicting cancer drug resistance. It provides a detailed exposition of the processes involved in data processing and model construction, examines the current challenges faced in this field and future development directions, with the aim of better advancing the progress of precision medicine.

Objective To observe the effects of Dihong Prescription on glomerular mesangial cells of mice cultured with high glucose;To explore its mechanism in the treatment of diabetic nephropathy.Methods The TargetScan database was used to predict the miRNA regulating bispecific phosphatase 1(DUSP1),and the double luciferase was used to verify the targeting relationship between miR-133b and DUSP1.The glomerular mesangial cells of mice were cultured in vitro and divided into control group,high glucose group and Dihong Prescription low-,medium-and high-dosage groups,and was given corresponding intervention.CCK-8 was used to detect cell viability,TUNEL staining was used to observe the apoptosis of cells,flow cytometry was used to determine the expression of reactive oxygen species(ROS),Western blot was used to detect the protein expressions of phosphorylated extracellular regulatory protein kinase 1/2(p-ERK1/2),ERK1/2,phosphorylated c-Jun amino-terminal kinase(p-JNK),JNK,p-p38,p38,mitochondrial dynamoculture-associated protein 1(Drp1)and mitochondrial fission protein 1(Fis1),transmission electron microscopy was used to observe the ultrastructure of mitochondria.Results The double luciferase demonstrated that miR-133b could target the regulation of DUSP1.Compared with the control group,the cell viability significantly decreased in the high glucose group(P<0.01),the apoptosis rate significantly increased(P<0.01),the content of ROS significantly increased(P<0.01),and the protein expressions of p-ERK1/2/ERK1/2,p-p38/p38,p-JNK/JNK,Drp1 and Fis1 significantly increased(P<0.01).Compared with the high glucose group,the cell viability significantly increased in Dihong Prescription medium-and high-dosage groups(P<0.01),the apoptosis rate significantly decreased(P<0.01),the content of ROS significantly decreased(P<0.01),and the protein expressions of p-ERK1/2/ERK1/2,p-p38/p38,p-JNK/JNK,Drp1 and Fis1 significantly decreased(P<0.01).Transmission electron microscopy showed that large number of autophagosomes,autophagosomes,mitochondria vacuolation and cristae fusion were observed in the high glucose group;the mitochondrial damage caused by high glucose was alleviated in Dihong Prescription low-,medium-and high-dosage groups.Conclusion Dihong Prescription can improve oxidative stress injury in glomerular mesangial cells of mice cultured with high glucose,and its mechanism may be related to the regulation of mitochondrial function and miR-133b/DUSP1/MAPK pathway.

Objective:To evaluate the potential value of 18×10 3 translocator protein (TSPO) radioligand ( N, N-diethy1-2-(2-(4-(2- 18F-fluoroethoxy) phenyl)-5, 7-dimethylpyrazolo[1, 5-A]pyrimidin-3-yl)acetamide, 18F-DPA-714) PET compared with conventional MR in the detection of autoimmune encephalitis (AE), the correlation with clinical symptoms, and the monitoring of immunotherapy efficacy in patients with AE. Methods:From December 2021 to June 2024, 45 AE patients (17 males, 28 females, age (38.3±17.0) years) diagnosed at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine and 10 healthy volunteers (7 males, 3 females, age (28.7±5.1) years) were enrolled in this prospective study. All participants underwent baseline 18F-DPA-714 PET/MR scans, and 23 of these AE patients underwent further follow-up 18F-DPA-714 PET/MR scans. 18F-DPA-714 PET positivity was defined as having an uptake intensity threshold higher than the mean SUV ratio (SUVR)+ 2 s of the corresponding brain region in healthy controls. MR positivity was defined as abnormal hyperintensity in a specific brain region or multiple brain regions on the T 2 fluid attenuated inversion recovery (FLAIR). The positive detection rates of 18F-DPA-714 PET and MR was analyzed using McNemar χ2 test, and the differences in the uptake intensity (SUVR) of 18F-DPA-714 between symptomatic and non-symptomatic groups, and between remission and non-remission groups after immunotherapy were compared using independent-sample t test or Wilcoxon rank sum test. Spearman rank correlation analysis was used to analyze the correlation between the changing rate of SUVR and the changing of the modified Rankin Scale (mRS) score before and after treatment. Results:The positive detecting rate of 18F-DPA-714 PET for AE was significantly higher than that of MR (73.3%(33/45) vs 35.6%(16/45); χ2=11.56, P=0.001). The cerebellar SUVR of ataxia patients was significantly higher than that of asymptomatic patients (1.22(1.06, 1.33) vs 1.08(0.99, 1.20); Z=-2.14, P=0.034). Follow-up imaging showed that the SUVR of patients in the remission group after immunotherapy was significantly lower than that in the non-remission group ((-15.19±10.17)% vs (14.26±13.36)%; t=5.81, P<0.001). There was a significant correlation between the changing rate of SUVR and the changing of the mRS score before and after treatment ( rs=0.65, P<0.001). Conclusion:Compared with conventional MR, 18F-DPA-714 PET has a higher positive detecting rate for AE, and has the potential to reflect the clinical symptoms of AE and monitor the efficacy of immunotherapy.