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.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
3.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
4.Mechanism of Electroacupuncture Alleviating Inflammatory Pain in Rats by Regulating ErbB Subtypes in the Spinal Dorsal Horn
Yuxin WU ; Shuxin TIAN ; Zhengyi LYU ; Dingru JI ; Xingzhen LI ; Yue DONG ; Binyu ZHAO ; Yi LIANG ; Jianqiao FANG
Journal of Traditional Chinese Medicine 2026;67(1):69-78
ObjectiveTo observe the changes in the levels of different subtypes of epidermal growth factor receptor (ErbB), namely ErbB1, ErbB2, ErbB3, and ErbB4, in the spinal dorsal horn of inflammatory pain model rats, and to explore their mechanism of mediating hyperalgesia as well as the intervention mechanism of electroacupuncture at "Zusanli (ST 36)" and "Kunlun (BL 60)". MethodsThe study was divided into five parts. In experiment 1, 14 Sprague Dawley (SD) rats were randomly divided into control and inflammatory pain group (7 rats each group) to observe the pain behavior and the protein expression of different ErbB receptor subtypes in the spinal dorsal horn. In experiment 2, 30 rats were randomly divided into control group 1, inflammatory pain group 1, and low-, medium-, and high-concentration TX1-85-1 groups, with 6 rats in each group, to observe the effect of inhibiting spinal ErbB3 on inflammatory pain. In experiment 3, 12 rats were randomly divided into control virus group and ErbB3 knockdown virus group, with 6 rats in each group, to observe the effect of knocking down ErbB3 in the spinal dorsal horn on inflammatory pain. In experiment 4, 44 rats were randomly divided into control group 2, inflammatory pain group 2, electroacupuncture group, and sham electroacupuncture group, with 11 rats in each group, to observe the effect of electroacupuncture. In experiment 5, 40 rats were randomly divided into control group 3, inflammatory pain group 3, electroacupuncture group 1, and electroacupuncture + NRG1 group, with 10 rats in each group, to observe the effect of activating ErbB3 on electroacupuncture. A rat model of inflammatory pain was established by subcutaneous injection of 100 μl of complete Freund's adjuvant into the sole of the unilateral hind foot of SD rats. Rats in the low-, medium-, and high-concentration TX1-85-1 groups were intrathecally injected with ErbB3 inhibitor TX1-85-1 on day 5 to day 7 after modeling. Rats in the ErbB3 knockdown virus group were injected with ErbB3 knockdown virus packaged with adenovirus vector-based short hairpin RNA (shRNA) into the spinal dorsal horn in situ 3 weeks before modeling. Rats in each electroacupuncture group received electroacupuncture at bilateral "Zusanli (ST 36)" and "Kunlun (BL 60)" from day 1 to day 7 after modeling, with dense-sparse waves at a frequency of 2 Hz/100 Hz and a current of 0.5-1.5 mA for 30 minutes once a day. Rats in the electroacupuncture + NRG1 group were intrathecally injected with ErbB3 ligand recombinant human neuregulin-1 (NRG1) after electroacupuncture intervention from day 5 to day 7 after modeling. The mechanical withdrawal threshold and thermal withdrawal latency of rats were measured on day 1, 3, 5, and 7 after modeling to evaluate behavior, and Western Blot was used to detect the protein and phosphorylation levels of each ErbB subtype in the spinal dorsal horn. ResultsCompared with the control group, rats in the inflammatory pain group showed decreased mechanical withdrawal threshold and thermal withdrawal latency of rats, and increased expression of phosphorylated ErbB3 (p-ErbB3) protein in the spinal dorsal horn on days 1, 3, 5, and 7 after modeling (P<0.01). On day 5 and day 7 after modeling, compared with the inflammatory pain group 1, the mecha-nical withdrawal threshold and thermal withdrawal latency of rats in the medium- and high-concentration TX1-85-1 groups increased, and the expression of p-ErbB3 protein decreased (P<0.05). On day 1, 3, 5, and 7 after modeling, compared with the control virus group, the mechanical withdrawal threshold and thermal withdrawal latency of rats in the ErbB3 knockdown virus group increased (P<0.05). On day 5 and day 7 after modeling, compared with the inflammatory pain group 2 and the sham electroacupuncture group, the mechanical withdrawal threshold and thermal withdrawal latency of rats in the electroacupuncture group increased, and the expression of p-ErbB3 protein decreased (P<0.05). On day 5 and day 7 after modeling, compared with the electroacupuncture + NRG1 group, the mechanical withdrawal threshold and thermal withdrawal latency of rats in the electroacupuncture group 1 increased (P<0.05). ConclusionThe p-ErbB3 in the spinal dorsal horn involved in hyperalgesia in rats with inflammatory pain, and electroacupuncture at "Zusanli (ST 36)" and "Kunlun (BL 60)" can alleviate inflammatory pain by inhibiting the expression of p-ErbB3 protein in the spinal dorsal horn of rats.
5.Analysis of causes and remedial management for failed endoscopic retrograde cholangiopancreatography in children
Xiumin QIN ; Feihong YU ; Hui GUO ; Chunna ZHAO ; Jie WU
Chinese Journal of Pediatrics 2026;64(1):84-88
Objective:To investigate the main causes of failed endoscopic retrograde cholangiopancreatography (ERCP) in children and the remedial treatment strategies.Methods:This retrospective cohort study analyzed the clinical data of 21 children who experienced failed ERCP at Beijing Children′s Hospital, Capital Medical University between January 2021 and December 2024. Data was collected included demographic information, clinical diagnoses, and ERCP outcomes. The annually trend in the ERCP failure rate was analyzed. Patients were categorized by etiology into the following groups: chronic pancreatitis, post-surgical status, pancreatic trauma, pancreas divisum, non-neoplastic pancreatic lesions, and ulcerative colitis. The relationship between etiologies and ERCP failure was analyzed by Fisher exact test.Results:A total of 175 ERCP procedures were included, of which 21 procedures failed (12.0%). The failure rate decreased annually from 2021 to 2024: 18.2% (4/22), 13.2% (5/38), 11.4% (5/44), and 9.9% (7/71), respectively. The etiological distribution among the 21 failed cases was as follows: chronic pancreatitis 28.6% (6/21), pancreatic duct stenosis following pancreatic trauma 23.8% (5/21), post-surgical status 14.3% (3/21), pancreas divisum 9.5% (2/21), acute pancreatitis 9.5% (2/21), non-neoplastic pancreatic lesions 9.5% (2/21), and pancreatic duct stenosis associated with ulcerative colitis 4.8% (1/21). Remedial treatments included surgical intervention (2 cases), ultrasound-guided percutaneous drainage (3 cases), and repeat ERCP (2 cases). For post-surgical and pancreatic trauma patients, failure was primarily due to bile duct stenosis, pancreatic duct stenosis, or pancreaticobiliary duct disruption. Active surgical interventions such as cholangiojejunostomy and pancreaticojejunostomy, and ultrasound-guided drainage following ERCP failure led to significant clinical improvement.Conclusions:A stratified management approach guided by etiology is essential following failed ERCP in children. Early and active remedial treatment, particularly surgical interventions, is recommended for post-surgical and pancreatic trauma cases.
6.Analysis and prediction of the incidence trend of congenital syphilis in China in 2005 - 2020
Yongfa QIN ; Yatao BI ; Jia ZHAO ; Zhenli WU ; Xue HAN
Journal of Public Health and Preventive Medicine 2026;37(2):12-16
Objective To analyze the incidence of congenital syphilis in four regions of China from 2005 to 2020 and predict its change trend, and to provide a scientific basis for the prevention and control of congenital syphilis. Methods The incidence data of congenital syphilis in eastern, western, central and northeastern China from 2005 to 2020 were collected. The annual change percentage (APC) and average annual change percentage (AAPC) were calculated by Joinpoint software, and the change trend was analyzed. The ARIMA model was established by SPSS26.0 software to predict the incidence from 2021 to 2025. Results From 2005 to 2020, there were 107 504 cases of congenital syphilis, and the incidence reached the peak in 2011, which was 0.90/100 000, and decreased to 0.09/100 000 in 2020. The incidence of congenital syphilis in the eastern, central, western, and northeastern regions of China decreased to 0.07/100 000, 0.06/100 000, 0.12/100 000, and 0.15/100 000 in 2020, respectively. Joinpoint regression analysis found that from 2005 to 2020, the incidence of congenital syphilis showed a downward trend in the whole country (AAPC=-8.68%, t=-5.18, P<0.05), the eastern region (AAPC=-12.01%, t=-6.81, P<0.05), the central region (AAPC=-5.45%, t=-2.09, P<0.05), and the western region (AAPC=-6.05%, t=-3.00, P<0.05), while the incidence in the northeast region was relatively stable (AAPC=-1.66%, t=-1.18,P>0.05). The ARIMA (2,2,0) model was constructed to predict that the annual incidence of congenital syphilis from 2021 to 2025 would be 0.06/100,000, 0.03/100,000, 0.02/100,000, 0.01/100,000, and 0.01/100,000, respectively. Conclusion From 2005 to 2020, the incidence of congenital syphilis in China shows an overall downward trend. The western and northeastern regions are the key prevention and control areas, and the work of "eliminating mother to child transmission of syphilis" needs to be continuously promoted.
7.Application of artificial intelligence-assisted chromosome karyotyping analysis in prenatal diagnosis of chromosomal mosaicism.
Ling ZHAO ; Shiwei SUN ; Qinghua ZHENG ; Qing YU ; Chongyang ZHU ; Ling LIU ; Yueli WU
Chinese Journal of Medical Genetics 2026;43(3):180-187
OBJECTIVE:
To explore the application value of artificial intelligence (AI)-assisted chromosomal karyotype analysis in the diagnosis of prenatal chromosomal mosaicism.
METHODS:
A retrospective analysis was conducted on 172 pregnant women who underwent amniocentesis at the Department of Medical Genetics and Prenatal Diagnosis, the Third Affiliated Hospital of Zhengzhou University between January 2019 and December 2024. All cases whose fetuses were diagnosed with chromosomal mosaicism via karyotype analysis and stratified into two groups based on the analytical software employed: the conventional analysis group (n = 70), which utilized Leica analysis software for karyotype image recognition and cell counting; and the AI-assisted analysis group (n = 102), which utilized AI-assisted software for the same procedures. The clinical performance of AI-assisted karyotype analysis in diagnosing chromosomal mosaicism was comprehensively evaluated by comparing the types of mosaic karyotypes, distribution of mosaic ratios, and verification outcomes of different detection modalities between the two groups. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-406-01).
RESULTS:
No statistically significant difference was observed in baseline characteristics (maternal age, gestational week, and indications for prenatal diagnosis) between the two groups. Regarding the detection efficacy for numerical and structural mosaicisms, no significant difference was found in the detection of numerical mosaicism. However, the conventional analysis group exhibited a significantly higher detection rate of autosomal structural mosaicism compared to the AI-assisted group (11.43% vs. 0.98%, P < 0.05). Numerical mosaicism cases were further verified using copy number variation sequencing (CNV-seq) and/or fluorescence in situ hybridization (FISH). The AI-assisted group demonstrated a significantly lower inconsistency rate (5.56% vs. 20.41%, P < 0.05) compared to the conventional group. For low-proportion (< 10%) chromosomal mosaicism, the AI-assisted group had a significantly lower detection rate (13.25% vs. 29.69%, P < 0.05). Subsequent validation of low-proportion mosaicism by CNV-seq and/or FISH showed a higher consistency rate in the AI-assisted group (81.82% vs. 54.55%), though the difference did not reach statistical significance (P = 0.360).
CONCLUSION
For the karyotyping analysis of prenatal chromosomal mosaicism, AI-assisted karyotype analysis shows high accuracy and consistency in identifying numerical chromosomal mosaicism, particularly in reducing the detection of low-proportion (< 10%) mosaicism while improving verification accuracy. AI-assisted analysis can significantly improve the detection accuracy of numerical mosaicism and mitigate the risk of misclassification for low-proportion (< 10%) mosaicism, thereby providing more precise clinical evidence for the prenatal diagnosis of chromosomal mosaicisms.
Humans
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Female
;
Mosaicism
;
Pregnancy
;
Karyotyping/methods*
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Artificial Intelligence
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Prenatal Diagnosis/methods*
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Adult
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Retrospective Studies
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Chromosome Disorders/genetics*
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Amniocentesis
8.Research advances in screening methods for pancreatic lipase inhibitors
Xinyi ZHANG ; Xiaoyu WU ; Zihao TAO ; Shuchang WEI ; Lei ZHAO ; Wenda DUAN ; Yanlong PAN ; Abuduaini Dilinigaer ; Yinyun MA
Journal of China Pharmaceutical University 2026;57(2):163-171
Obesity and its related metabolic diseases have become a major global public health threat, and its rising incidence significantly increases the risk of cardiovascular and cerebrovascular diseases, diabetes and other complications. Pancreatic lipase is a key enzyme that converts food-borne lipids into triglycerides and fatty acids, and the effective inhibition of its activity has become an important strategy for the treatment of obesity. This paper discusses the screening methods of pancreatic lipase inhibitors, and summarizes and reviews the basic principles, advantages and disadvantages and application status of traditional screening methods, modern new screening methods and virtual screening methods. In view of the problems faced by the screening methods of pancreatic lipase inhibitors, future research urgently needs to move towards a collaborative innovation path of multi-technology integration, intelligent screening and complex systematization of traditional Chinese medicine, so as to open up new research paradigms.
9.Three-dimensional Electrical Impedance Tomography for Monitoring Gastric Hemorrhage
Zi-Han ZHAO ; Bo SUN ; Jing-Shi HUANG ; Zhi-Wei LI ; Yang WU ; Nan LI ; Jia-Feng YAO ; Tong ZHAO
Progress in Biochemistry and Biophysics 2026;53(4):1062-1075
ObjectiveGastric hemorrhage is one of the most common and life-threatening emergencies of the upper digestive tract. Early identification and continuous monitoring are essential for reducing rebleeding rates and mortality, particularly within the critical early hours after onset. Although endoscopy and radiological imaging can accurately localize bleeding sites, these approaches are invasive, resource-intensive, and unsuitable for continuous bedside monitoring. Electrical impedance tomography (EIT), as a noninvasive and radiation-free functional imaging technique, offers real-time visualization of conductivity distribution and has the potential for detecting intragastric bleeding based on the electrical contrast between blood and surrounding gastric tissues. In this study, a three-dimensional gastric EIT (3D-gEIT) framework is proposed to achieve noninvasive, real-time, and dynamic monitoring of gastric hemorrhage, with emphasis on spatial localization and quantitative volume assessment. MethodsA three-dimensional upper-abdominal simulation model incorporating the stomach, gastric wall, gastric contents, and surrounding tissues was established. Three electrode configurations, namely the dual layer ring, the four layer staggered ring, and the opposed dual plane array, were designed and systematically compared to evaluate their influence on depth sensitivity and spatial resolution. Based on the Tikhonov-Noser hybrid regularization scheme, a region-clustering constraint was introduced to develop the TK-Noser-RCC algorithm. This approach aggregates spatially adjacent elements with similar conductivity variations, thereby enhancing structural continuity and suppressing isolated noise artifacts. To validate the proposed framework, an upper-abdominal physical phantom was constructed using agar to simulate background tissue conductivity. Hemispherical high-conductivity inclusions with volumes ranging from 10 ml to 50 ml were attached to the inner gastric wall to mimic localized bleeding under different gastric filling states. Boundary voltages were acquired under a 120 kHz excitation current and reconstructed using the TK-Noser-RCC algorithm. Furthermore, an in vivo animal experiment was performed using a porcine model with adult-scale abdominal dimensions. A total of 100 ml of autologous blood was injected incrementally into the stomach to simulate progressive gastric hemorrhage, and time-difference EIT reconstruction was conducted at each injection stage to assess the dynamic system response under physiological conditions. ResultsSimulation results demonstrated that the opposed dual-plane electrode array achieved superior depth sensitivity distribution and spatial resolution. For a 40 ml hemorrhage model, the average ICC and SSIM improved by 55.9% and 38.8% compared with the dual-layer ring configuration, and by 64.0% and 39.5% compared with the four-layer staggered configuration. The proposed region-clustering constraint significantly enhanced reconstruction stability. Under added Gaussian noise of 40 dB and 30 dB, ICC values remained approximately 0.85, indicating effective artifact suppression and preservation of boundary integrity. In physical phantom experiments, reconstructed hemorrhage volumes increased approximately linearly with the preset hemispherical volumes, and the reconstructed high-conductivity regions closely matched the actual bleeding locations. Both empty-stomach and full-stomach conditions were evaluated, demonstrating that the opposed dual-plane configuration maintained stable imaging performance across varying gastric contents. In the animal experiment, reconstructed low-impedance regions expanded progressively with increasing injected blood volume. The spatial localization of the hemorrhage remained stable throughout the procedure, and no significant artifacts were observed. Quantitative analysis showed that reconstructed volume and average conductivity variation exhibited an approximately linear growth trend with injected blood volume, confirming the sensitivity of the system to dynamic intragastric conductivity changes. ConclusionThe proposed 3D-gEIT framework enables quantitative reconstruction of gastric hemorrhage volume and spatial distribution with improved depth sensitivity, structural continuity, and noise robustness compared with conventional EIT approaches. By integrating optimized electrode configuration and a region-clustering-constrained reconstruction algorithm, the system provides stable dynamic monitoring under both controlled phantom conditions and in vivo physiological environments. This method offers a noninvasive, real-time, and low-cost imaging strategy for early diagnosis, postoperative monitoring, and bedside surveillance of gastric bleeding.
10.Effect of sitravatinib on a mouse model of carbon tetrachloride-induced liver fibrosis and its mechanism
Huan ZHANG ; Xiangyu WU ; Qianwen ZHAO ; Fajuan RUI ; Nan GENG ; Rui JIN ; Jie LI
Journal of Clinical Hepatology 2026;42(3):600-607
ObjectiveTo investigate the therapeutic effect of sitravatinib on carbon tetrachloride (CCl4)-induced liver fibrosis in mice. MethodsA total of 30 male C57BL/6J mice, aged 8 weeks, were randomly divided into control group, CCl4 model group, and low- (5 mg/kg), middle- (10 mg/kg), and high-dose (20 mg/kg) sitravatinib groups. All mice except those in the control group were given intraperitoneal injection of CCl4 for 4 consecutive weeks to induce liver fibrosis, and since the first day of modeling, the mice in the low-, middle-, and high-dose sitravatinib groups were given sitravatinib at the corresponding dose by gavage every day. The serum levels of total cholesterol (TC), triglyceride (TG), and alanine aminotransferase (ALT) were measured for the mice in each group; hepatic hydroxyproline content was measured; HE staining, Masson staining, and Sirius Red staining were used to observe liver histopathological changes; quantitative real-time PCR and Western blot were used to measure the mRNA and protein expression levels of α-smooth muscle actin (α-SMA) and collagen type I alpha 1 (Col1a1) in liver tissue. The therapeutic effect of sitravatinib was assessed based on the above results. A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the control group, the model group had significant increases in the levels of TC, TG, and ALT (all P<0.05), and there were no significant differences in the levels of TC, TG, and ALT between the model group and the low-, middle-, and high-dose sitravatinib groups (all P>0.05). Hepatic hydroxyproline content decreased after sitravatinib intervention, with a significant difference between the middle-/high-dose sitravatinib groups and the CCl4 model group (both P<0.05). Histopathological staining showed that the sitravatinib treatment groups had a reduction in collagen deposition, along with thinning and fragmentation of fibrous septa, and in the high-dose sitravatinib group, 4 mice had a fibrosis stage of S0—S1 and 2 mice had a fibrosis stage of S2—S3, suggesting a certain degree of alleviation of liver fibrosis degree compared with the CCl4 model group (mainly S3—S4). The measurement of related molecules showed that sitravatinib downregulated the mRNA and protein expression levels of α-SMA and Col1a1 (all P<0.05). ConclusionSitravatinib can effectively alleviate CCl4-induced liver fibrosis in mice, possibly by inhibiting hepatic stellate cell activation and collagen synthesis.


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