ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

Objective: To investigate the association between plant-based diet and different types of obesity, so as to provide references for obesity prevention. Methods: Residents aged 35-75 years from 33 counties (cities, districts) in Zhejiang Province were selected as study subjects using a multistage stratified random sampling method between April and December 2024. Demographic information and living behaviors were collected using questionnaire surveys. Height, weight and waist circumference were measured, and body mass index (BMI) was calculated. BMI ≥28.0 kg/m2 was defined as obesity, waist circumference ≥90 cm in males or ≥85 cm in females was defined as central obesity, and individual with obesity who also had central obesity was defined as having compound obesity. Food intake over a 3-day period was collected using the consecutive 3-day 24-hour dietary recall method. The plant diet index (PDI), healthful plant diet index (HPDI), and unhealthful plant diet index (UPDI) were calculated, and categorized into quintiles (Q1-Q5) based on their distribution. Association between the PDI, PDI, UPDI and different types of obesity were analyzed using multivariable logistic regression models. Results: A total of 4 882 individuals were surveyed, including 2 233 males (45.74%) and 2 649 females (54.26%). The average age was (55.42±12.14) years. There were 537 individuals of obesity, 1 718 individuals of central obesity, and 500 individuals of compound obesity, with detection rates of 11.00%, 35.19%, and 10.24%, respectively. Multivariable logistic regression analysis showed that, after adjusting for demographic information and living behaviors, compared with Q1 group, HPDI Q5 group showed a 29.6% lower risk of obesity (OR=0.704, 95%CI: 0.525-0.943) and a 32.1% lower risk of compound obesity (OR=0.679, 95%CI: 0.502-0.918). Conversely, the UPDI Q5 group exhibited a 39.5% higher risk of obesity (OR=1.395, 95%CI: 1.032-1.886) and a 39.8% higher risk of compound obesity (OR=1.398, 95%CI: 1.025-1.907). No statistically significant association was found between PDI and obesity, central obesity, and compound obesity (all P>0.05). As HPDI increased, the risks of obesity and compound obesity showed decreasing trends; as UPDI increased, the risks of obesity and compound obesity showed increasing trends (all Ptrend<0.05). Conclusion A healthful plant-based diet is associated with reduced risks of obesity and compound obesity, while an unhealthful plant-based diet is associated with increased risks of obesity and compound obesity.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective:To investigate the effect and mechanism of Jianpi Qinghua granule in improving skeletal muscle insulin resistance induced by long-term low-dose cadmium exposure in rats.Methods:A total of 24 SPF-grade healthy 2-month-old Sprague-Dawley rats were assigned to normal control(NC) group, cadmium exposure(Cd) group, and Jianpi Qinghua granule protection(Cd+ JPQHG) group. After 24 weeks, fasting blood glucose and insulin levels were measured, and HOMA-IR was calculated. The intraperitoneal glucose tolerance test and insulin tolerance test were conducted to assess insulin sensitivity. Skeletal muscle tissues were extracted for Western blot analysis to detect levels of insulin signaling pathway-related proteins. Immunofluorescence was used to assess the translocation of glucose transporter 4(GLUT4), and oxidative stress markers were measured.Results:Compared to the NC group, the Cd group showed significant increases in fasting plasma glucose, fasting insulin levels, and HOMA-IR after 24-week exposure. Abnormal glucose and insulin tolerance were also observed in the Cd group. The 12-week intervention with Jianpi Qinghua granule significantly improved glucose metabolism and alleviated the abnormalities in glucose and insulin tolerance. Western blot results indicated that the phosphorylation levels of PI3K and Akt in the skeletal muscle of the Cd group were significantly reduced compared to the NC group, while these levels were significantly elevated in the Cd+ JPQHG group, along with increased translocation of GLUT4 to the cell membrane. Additionally, cadmium exposure significantly increased H 2O 2 and malondialdehyde levels while decreased antioxidant enzyme activity. These oxidative stress indicators improved significantly after Jianpi Qinghua granule intervention( P<0.05). Conclusion:Jianpi Qinghua granule may improve skeletal muscle insulin resistance and glucose metabolism disorders due to long-term low-dose cadmium exposure by reducing oxidative stress, regulating the phosphorylation levels of key proteins in the insulin signaling pathway, and promoting GLUT4 translocation to the cell membrane.

Objective:To investigate the assoication of amino acid metabolism levels with severity of diabetic peripheral neuropathy(DPN) in patients with type 2 diabetes mellitus.Methods:A retrospective analysis was conducted on 118 patients with type 2 diabetes mellitus who were admitted to Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from January to April 2021. Patients were divided into groups according to the Toronto Clinical Scoring System(TCSS), and amino acid profiling was performed. General demographics and biochemical indicators of each group were collected to analyze the relationship between DPN severity and amino acid metabolism.Results:As TCSS scores increased, patients were older and had a longer duration of diabetes. Statistically significant differences in leucine, isoleucine, tryptophan, and phenylalanine levels were observed among the four groups. After adjusting for confounding variables using covariance analysis, when the TCSS score was≥13, the serum phenylalanine level was significantly elevated, and the difference was statistically significant( P<0.05). Multivariate linear regression analysis indicated that TCSS score was an influencing factor for phenylalanine levels( P=0.010). Multivariate logistic regression analysis demonstrated that higher serum phenylalanine levels correlated with higher TCSS scores( OR=1.047, 95% CI 1.011-1.083, P=0.010). Receiver operating characteristic(ROC) curve analysis revealed that serum phenylalanine and the difference between phenylalanine and tryptophan had diagnostic value for severe DPN patients, with areas under the ROC curve of 0.673(95% CI 0.553-0.793, P=0.006) and 0.746(95% CI 0.641-0.852, P<0.001) respectively. Conclusions:The levels of phenylalanine and tryptophan in the serum of patients with type 2 diabetes mellitus are correlated with the severity of DPN. These findings suggest that serum phenylalanine, tryptophan, or their metabolic products may be involved in the pathogenesis and progression of DPN.

Metastatic Crohn's disease (MCD) represents one of the rare cutaneous extraintestinal manifestations in patients with Crohn's disease. The genital area, particularly the vulva in females, is the most commonly affected site in MCD. However, clinical cases of metastatic vulval Crohn's disease (MVCD) are relatively scarce, and the symptoms often lack specificity, making differential diagnosis challenging. This article aims to summarize the clinical characteristics, diagnostic approaches, and treatment modalities of MVCD, thereby providing a reference for the clinical management of this condition.

Objective To analyze the hotspots and frontiers of traditional Chinese medicine treatment for allergic rhinitis(AR)in China,aiming to provide reference for the treatment of AR patients in China.Methods Literatures related to traditional Chinese medicine treatment of AR published by CNKI,Wanfang Data and VIP database from January 2004 to December 2023 were searched,and CiteSpace software was used for visual analysis of the number of literatures,key words,research institutions and authors.Results A total of 1604 literatures were included,and the annual number of literatures generally showed an upward trend.The research frontiers in the last 5 years include medication patterns,immune function,quality of life,data mining,and thumbtack needle.The top five institutions in terms of publications were Beijing University of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Nanjing University of Traditional Chinese Medicine,the First Affiliated Hospital of Beijing University of Traditional Chinese Medicine,and Chengdu University of Traditional Chinese Medicine.The core authors were Yuan Weiling,Yan Daonan,Zhao Jiping,Zhang Qinxiu,and Feng Weiyun.Conclusion The application of traditional Chinese medicine in treatment of AR has always been in a high research heat,and giving full play to the characteristics of traditional Chinese medicine can be the development direction of AR research in the future.

Metastatic Crohn's disease (MCD) represents one of the rare cutaneous extraintestinal manifestations in patients with Crohn's disease. The genital area, particularly the vulva in females, is the most commonly affected site in MCD. However, clinical cases of metastatic vulval Crohn's disease (MVCD) are relatively scarce, and the symptoms often lack specificity, making differential diagnosis challenging. This article aims to summarize the clinical characteristics, diagnostic approaches, and treatment modalities of MVCD, thereby providing a reference for the clinical management of this condition.

Objective To analyze the hotspots and frontiers of traditional Chinese medicine treatment for allergic rhinitis(AR)in China,aiming to provide reference for the treatment of AR patients in China.Methods Literatures related to traditional Chinese medicine treatment of AR published by CNKI,Wanfang Data and VIP database from January 2004 to December 2023 were searched,and CiteSpace software was used for visual analysis of the number of literatures,key words,research institutions and authors.Results A total of 1604 literatures were included,and the annual number of literatures generally showed an upward trend.The research frontiers in the last 5 years include medication patterns,immune function,quality of life,data mining,and thumbtack needle.The top five institutions in terms of publications were Beijing University of Traditional Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Nanjing University of Traditional Chinese Medicine,the First Affiliated Hospital of Beijing University of Traditional Chinese Medicine,and Chengdu University of Traditional Chinese Medicine.The core authors were Yuan Weiling,Yan Daonan,Zhao Jiping,Zhang Qinxiu,and Feng Weiyun.Conclusion The application of traditional Chinese medicine in treatment of AR has always been in a high research heat,and giving full play to the characteristics of traditional Chinese medicine can be the development direction of AR research in the future.

Objective:To investigate the effect and mechanism of Jianpi Qinghua granule in improving skeletal muscle insulin resistance induced by long-term low-dose cadmium exposure in rats.Methods:A total of 24 SPF-grade healthy 2-month-old Sprague-Dawley rats were assigned to normal control(NC) group, cadmium exposure(Cd) group, and Jianpi Qinghua granule protection(Cd+ JPQHG) group. After 24 weeks, fasting blood glucose and insulin levels were measured, and HOMA-IR was calculated. The intraperitoneal glucose tolerance test and insulin tolerance test were conducted to assess insulin sensitivity. Skeletal muscle tissues were extracted for Western blot analysis to detect levels of insulin signaling pathway-related proteins. Immunofluorescence was used to assess the translocation of glucose transporter 4(GLUT4), and oxidative stress markers were measured.Results:Compared to the NC group, the Cd group showed significant increases in fasting plasma glucose, fasting insulin levels, and HOMA-IR after 24-week exposure. Abnormal glucose and insulin tolerance were also observed in the Cd group. The 12-week intervention with Jianpi Qinghua granule significantly improved glucose metabolism and alleviated the abnormalities in glucose and insulin tolerance. Western blot results indicated that the phosphorylation levels of PI3K and Akt in the skeletal muscle of the Cd group were significantly reduced compared to the NC group, while these levels were significantly elevated in the Cd+ JPQHG group, along with increased translocation of GLUT4 to the cell membrane. Additionally, cadmium exposure significantly increased H 2O 2 and malondialdehyde levels while decreased antioxidant enzyme activity. These oxidative stress indicators improved significantly after Jianpi Qinghua granule intervention( P<0.05). Conclusion:Jianpi Qinghua granule may improve skeletal muscle insulin resistance and glucose metabolism disorders due to long-term low-dose cadmium exposure by reducing oxidative stress, regulating the phosphorylation levels of key proteins in the insulin signaling pathway, and promoting GLUT4 translocation to the cell membrane.