1.Joint Relation Extraction of Famous Medical Cases with CasRel Model Combining Entity Mapping and Data Augmentation
Yuxin LI ; Xinghua XIANG ; Hang YANG ; Dasheng LIU ; Jiaheng WANG ; Zhiwei ZHAO ; Jiaxu HAN ; Mengjie WU ; Qianzi CHE ; Wei YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(2):218-225
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.
2.Network analysis of pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty from an ethical equity perspective
Zhiwei WANG ; Lijun MENG ; Yu WU ; Jian LIU ; Zhaojin DA ; Zeping YAN ; Shicai WU
Chinese Journal of Rehabilitation Theory and Practice 2026;32(3):364-372
ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.
3.Network analysis of pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty from an ethical equity perspective
Zhiwei WANG ; Lijun MENG ; Yu WU ; Jian LIU ; Zhaojin DA ; Zeping YAN ; Shicai WU
Chinese Journal of Rehabilitation Theory and Practice 2026;32(3):364-372
ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.
4.Network analysis of pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty from an ethical equity perspective
Zhiwei WANG ; Lijun MENG ; Yu WU ; Jian LIU ; Zhaojin DA ; Zeping YAN ; Shicai WU
Chinese Journal of Rehabilitation Theory and Practice 2026;32(3):364-372
ObjectiveTo explore the complex network relationships among pain, kinesiophobia, social participation and knee function in patients after total knee arthroplasty (TKA), and to analyze the moderating effects of different socio-structural factors on the rehabilitation network from an ethical equity perspective. MethodsA convenience sampling method was used to select 291 patients who underwent TKA in Qilu Hospital of Shandong University from May to July, 2023. Pain was assessed using Numerical Rating Scale, kinesiophobia with Chinese short version of the Tampa Scale for Kinesiophobia, social participation with Impact on Participation and Autonomy Questionnaire, and knee function with Hospital for Special Surgery Knee Score. A partial correlation network among pain, kinesiophobia, social participation and knee function was constructed using Graphical Least Absolute Shrinkage and Selection Operator. Key variables were identified through node centrality and bridge centrality analysis. Network Comparison Tests (NCT) were used to analyze network differences among subgroups based on different socio-structural characteristics. ResultsIn the network model, the nodes with the highest strength centrality were indoor participation, activity behavior and activity pain. Bridge centrality analysis indicated that activity pain, knee function, indoor participation and activity cognition were key bridge nodes. NCT revealed no significant differences in overall network structure or global strength among subgroups based on residence, education level or payment method (P > 0.05). However, significant differences in edge weights were found for specific edges such as activity cognition-activity behavior and knee function-indoor participation (P < 0.05). ConclusionThere is a network of interactions among pain, kinesiophobia, social participation and knee function in patients after TKA, with nodes such as indoor participation and activity pain playing key roles in the rehabilitation process. Although the overall rehabilitation network is similar across different socio-structural groups, variations exist in specific relational pathways among patients from rural areas, those with lower education levels, and those with out-of-pocket payment. This suggests that clinical rehabilitation interventions should focus on these core nodes and implement targeted support strategies for socio-structurally disadvantaged groups to promote rehabilitation equity.
5.Kidney Gastrin/CCKBR Attenuates Type 2 Diabetes Mellitus by Inhibiting SGLT2-Mediated Glucose Reabsorption through Erk/NF-κB Signaling Pathway
Xue ZHANG ; Yuhan ZHANG ; Yang SHI ; Dou SHI ; Min NIU ; Xue LIU ; Xing LIU ; Zhiwei YANG ; Xianxian WU
Diabetes & Metabolism Journal 2025;49(2):194-209
Background:
Both sodium-glucose cotransporters (SGLTs) and Na+/H+ exchangers (NHEs) rely on a favorable Na-electrochemical gradient. Gastrin, through the cholecystokinin B receptor (CCKBR), can induce natriuresis and diuresis by inhibiting renal NHEs activity. The present study aims to unveil the role of renal CCKBR in diabetes through SGLT2-mediated glucose reabsorption.
Methods:
Renal tubule-specific Cckbr-knockout (CckbrCKO) mice and wild-type (WT) mice were utilized to investigate the effect of renal CCKBR on SGLT2 and systemic glucose homeostasis under normal diet, high-fat diet (HFD), and HFD with a subsequent injection of a low dose of streptozotocin. The regulation of SGLT2 expression by gastrin/CCKBR and the underlying mechanism was explored using human kidney (HK)-2 cells.
Results:
CCKBR was downregulated in kidneys of diabetic mice. Compared with WT mice, CckbrCKO mice exhibited a greater susceptibility to obesity and diabetes when subjected to HFD.
6.Establishment of an evaluation system for conversion to laparotomy in laparoscopic cholecystectomy and exploration of surgical grading management
Nannan ZHANG ; Jinxing GUO ; Gang WU ; Hui YI ; Yuanhang ZHOU ; Zhiwei LIAO ; Qi HUANG ; Jian DONG
Journal of Surgery Concepts & Practice 2025;30(1):54-60
Objective To develop and validate a scoring system to predict the possibility of laparoscopic cholecystectomy (LC) conversion to laparotomy based on preoperative clinical data, and to establish a grading management model of surgery. Methods A retrospective analysis was conducted on the clinical data of 9 414 patients who underwent LC at Renhe Hospital and Huashan Hospital from June 2013 to June 2018. The patients were divided into two groups: the LC group (9 246 patients who successfully underwent LC) and the conversion to laparotomy group (168 patients who required conversion to open surgery). The data of two groups were compared, and the risk factors affecting conversion to laparotomy were screened out by single factor analysis of Chi-square test. Then, the risk factors were analyzed by multiple Logistic regression, and the pre-coefficient of each variable of the risk factors was assigned according to the established conversion to laparotomy possibility function. After calculating the score of each case, the difference in the actual conversion rate of each group was compared. The area under receiver operating characteristic (ROC) curve was calculated to evaluate the performance of the scoring system. According to the scoring system, LC surgical grading management model was created and verified. Results The following factors were identified as significant risk factors for conversion to laparotomy (P < 0.001): body temperature ≥ 38.5℃, frequency of acute cholecystitis ≥3 times, maximum thickness of gallbladder wall ≥ 5 mm, gallbladder neck stone incarceration, diameter of common bile duct ≥8 mm, and surgical experience ≤50 cases were the risk factors for conversion to laparotomy (P < 0.001). A score >3 points was associated with a high risk of conversion to laparotomy. Conclusions The LC scoring system and surgical grading management are reliable and effective tools for predicting and reducing the conversion rate of LC to laparotomy.
7.Exploring the therapeutic potential of propolis in managing diabetes: A preclinical study
Hannah Shi Tiang ; Lingling Qin ; Tonghuang Hua Liu ; Zhiwei Qi ; Huizhao Qin ; Huelee Yong ; Xuesheng Ma ; Lili Wu
Journal of Traditional Chinese Medical Sciences 2025;2025(2):165-174
Objective:
To evaluate the therapeutic potential and underlying mechanisms of action of propolis in db/db mice.
Methods:
The chemical composition of propolis was analyzed using UHPLC-MS/MS. Thirty mice, including six wt/wt and 24 db/db mice, were randomly assigned to four groups (n = 6 per group): control, model, metformin (250 mg/kg), low dose propolis (100 mg/kg), and high dose propolis (HDP; 400 mg/kg). Treatments were administered orally for four weeks. Body weight and FBG levels were recorded weekly, and an oral glucose tolerance test was conducted on the 25th day. Serum levels of FIN, GSP, connecting peptide, AST, ALT, HDL, LDL, TG, and TC were quantified using ELISA. Liver histopathology was assessed using H&E and PAS staining. Western blotting was performed to examine the expression levels of NF-κB, phosphorylated NF-κB, IκBα, pIκBα, and AKT in liver tissues.
Results:
The top 10 metabolites of propolis were identified in positive and negative ion modes. The HDP group exhibited a significant reduction in FBG levels, body weight, connecting peptide levels, homeostatic model assessment of β-cell function scores, and homeostasis model assessment of insulin resistance scores (all P < .05). GSP levels were significantly reduced in both treatment groups (all P < .001). The HDP group also exhibited a reduction in TC and LDL levels (both P < .05), whereas HDL levels increased in both treatment groups (all P < .05). Liver weight, AST levels, and ALT levels were reduced in both treatment groups (all P < .05). Histological analysis revealed improved liver morphology. Protein analysis demonstrated downregulation of phosphorylated NF-κB and phosphorylated IκB, alongside upregulation of AKT.
Conclusion
Propolis exhibited significant antihyperglycemic effects in db/db mice, potentially by modulating the AKT and NF-κB signaling pathways, highlighting its potential as a therapeutic agent for diabetes management.
8.Analyses of clinical characteristics and prognostic factors of newly-treated elderly acute myeloid leukemia patients with intermediate-risk karyotype
Qingyun PENG ; Hao LI ; Zhiwei WU ; Xiao XIAO ; Xinchen FANG ; Panpan HUANG ; Chaojie HU
Journal of Leukemia & Lymphoma 2025;34(7):403-407
Objective:To investigate the clinical features and prognostic factors of newly-treated elderly acute myeloid leukemia (AML) patients with intermediate-risk karyotype.Methods:A retrospective case series study was conducted. A total of 87 newly-treated elderly AML patients with intermediate-risk karyotype in the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital) from January 2013 to December 2023 were selected. The clinical characteristics were summarized. The Kaplan-Meier method was used for survival analysis and Cox proportional hazards model was used to make univariate and multivariate analyses of prognostic factors.Results:The median age [ M ( Q1, Q3)] of 87 patients was 69 (60, 87) years. The patients with normal karyotype and abnormal karyotype accounted for 77.1% (67/87), 22.9% (20/87), respectively. A total of 74 patients (85.1%) had 1 or more gene mutations, of which FLT3-ITD, NPM1 mutation, CEBPA mutation and WT1 high expression accounted for 29.9% (26/87), 26.4% (23/87), 19.5% (17/87), and 65.5% (57/87), respectively; additionally, 44.7% (39/87) of patients had 2 or more gene mutations. The objective response rate of patients after induction therapy was 47.7% (41/87), while the relapse rate was 73.2% (30/41). The median progression-free survival (PFS) time was 7.8 months, and the median overall survival (OS) time was 12.1 months. Univariate analysis result revealed that age, FLT3-ITD, hypomethylating agents, and minimal residual disease complete remission (MDR-CR) were factors influencing the OS of newly-treated elderly AML patients with intermediate-risk karyotype (all P < 0.05). Multivariate analysis indicated that MDR-CR was an independent risk factor for OS (yes vs. no: HR = 0.27, 95% CI: 0.14-0.51, P < 0.001). Conclusions:Newly-treated elderly AML patients with intermediate-risk karyotype have a high relapse rate and poor prognosis, and MDR-CR is identified as an independent influencing factor for the prognosis of these patients.
9.Kidney Gastrin/CCKBR Attenuates Type 2 Diabetes Mellitus by Inhibiting SGLT2-Mediated Glucose Reabsorption through Erk/NF-κB Signaling Pathway
Xue ZHANG ; Yuhan ZHANG ; Yang SHI ; Dou SHI ; Min NIU ; Xue LIU ; Xing LIU ; Zhiwei YANG ; Xianxian WU
Diabetes & Metabolism Journal 2025;49(2):194-209
Background:
Both sodium-glucose cotransporters (SGLTs) and Na+/H+ exchangers (NHEs) rely on a favorable Na-electrochemical gradient. Gastrin, through the cholecystokinin B receptor (CCKBR), can induce natriuresis and diuresis by inhibiting renal NHEs activity. The present study aims to unveil the role of renal CCKBR in diabetes through SGLT2-mediated glucose reabsorption.
Methods:
Renal tubule-specific Cckbr-knockout (CckbrCKO) mice and wild-type (WT) mice were utilized to investigate the effect of renal CCKBR on SGLT2 and systemic glucose homeostasis under normal diet, high-fat diet (HFD), and HFD with a subsequent injection of a low dose of streptozotocin. The regulation of SGLT2 expression by gastrin/CCKBR and the underlying mechanism was explored using human kidney (HK)-2 cells.
Results:
CCKBR was downregulated in kidneys of diabetic mice. Compared with WT mice, CckbrCKO mice exhibited a greater susceptibility to obesity and diabetes when subjected to HFD.
10.Kidney Gastrin/CCKBR Attenuates Type 2 Diabetes Mellitus by Inhibiting SGLT2-Mediated Glucose Reabsorption through Erk/NF-κB Signaling Pathway
Xue ZHANG ; Yuhan ZHANG ; Yang SHI ; Dou SHI ; Min NIU ; Xue LIU ; Xing LIU ; Zhiwei YANG ; Xianxian WU
Diabetes & Metabolism Journal 2025;49(2):194-209
Background:
Both sodium-glucose cotransporters (SGLTs) and Na+/H+ exchangers (NHEs) rely on a favorable Na-electrochemical gradient. Gastrin, through the cholecystokinin B receptor (CCKBR), can induce natriuresis and diuresis by inhibiting renal NHEs activity. The present study aims to unveil the role of renal CCKBR in diabetes through SGLT2-mediated glucose reabsorption.
Methods:
Renal tubule-specific Cckbr-knockout (CckbrCKO) mice and wild-type (WT) mice were utilized to investigate the effect of renal CCKBR on SGLT2 and systemic glucose homeostasis under normal diet, high-fat diet (HFD), and HFD with a subsequent injection of a low dose of streptozotocin. The regulation of SGLT2 expression by gastrin/CCKBR and the underlying mechanism was explored using human kidney (HK)-2 cells.
Results:
CCKBR was downregulated in kidneys of diabetic mice. Compared with WT mice, CckbrCKO mice exhibited a greater susceptibility to obesity and diabetes when subjected to HFD.


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