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.

ObjectiveTo explore the potential mechanism of action of the combination of Sanguisorbae Radix-Sophorae Flos （DH） in the treatment of ulcerative colitis （UC） using network pharmacology methods and molecular docking technology. MethodsNetwork pharmacology analysis was utilized to predict the potential targets of DH for the treatment of UC. The therapeutic effects were experimentally validated by inducing a UC model in mice with 3% dextran sulfate sodium （DSS）. The experimental groups were the normal group， the model group， the salazosulfapyridine group （100 mg·kg^-1）， and the low， medium， and high dose groups of DH （1.2， 2.4， and 4.8 g·kg^-1）. The efficacy of the treatment was assessed through the general condition of the mice， histopathological examination， and the expression levels of inflammatory markers in the colon. The effect of DH on angiogenesis was explored by messenger RNA （mRNA） detection of colonic angiogenesis-related mediators， vascular endothelial growth factor （VEGF） immunohistochemistry， microvessel density （MVD） detection， and transmission electron microscopy. The phosphatidylinositol-3-kinase （PI3K）-protein kinase B （Akt） signaling pathway proteins were quantitatively analyzed through Western blot to assess whether the suppression of pathological angiogenesis by DH is associated with this pathway. ResultsNetwork pharmacological analysis yielded 112 potential core therapeutic targets for the treatment of UC with DH， of which the core targets were tumor protein 53 （TP53）， JUN， interleukin （IL）-6， Akt1， and tumor necrosis factor （TNF）. Compared with the normal group， mice in the model group showed significant weight loss， colon shortening， and high DAI score， increased expression of inflammatory factors IL-6， IL-1β， and TNF-α， as well as increased mRNA expression levels of angiogenesis-related mediators VEGF， vascular cell adhesion molecule 1 （VCAM1）， angiotensin 1 （Ang1）， matrix metalloproteinase （MMP）-1， MMP-2， and MMP-9. The positive expression of CD31 and VEGF in colonic tissue increased， and the protein expression of the PI3K/Akt pathway was increased （P<0.05）. The endothelial cells of the colonic mucosa and the colonic vasculature were severely damaged. Compared with the model group， mice in the DH groups had significantly reduced weight loss and colon shortening， lower DAI scores， and a significant decrease in mRNA expression of inflammatory factors and angiogenesis-related mediators. In addition， there was decreased positive expression of CD31 and VEGF in colonic tissue and decreased protein expression of the PI3K/Akt pathway （P<0.05）. ConclusionNetwork pharmacology， molecular docking， and experimental validation are applied to explore the mechanism of action of DH in the treatment of UC， and it is found that DH is able to improve the symptoms of colitis and inhibit the pathological angiogenesis in UC mice. Its action might be related to affecting the PI3K/Akt pathway.

ObjectiveTo explore the potential mechanism of action of the combination of Sanguisorbae Radix-Sophorae Flos （DH） in the treatment of ulcerative colitis （UC） using network pharmacology methods and molecular docking technology. MethodsNetwork pharmacology analysis was utilized to predict the potential targets of DH for the treatment of UC. The therapeutic effects were experimentally validated by inducing a UC model in mice with 3% dextran sulfate sodium （DSS）. The experimental groups were the normal group， the model group， the salazosulfapyridine group （100 mg·kg^-1）， and the low， medium， and high dose groups of DH （1.2， 2.4， and 4.8 g·kg^-1）. The efficacy of the treatment was assessed through the general condition of the mice， histopathological examination， and the expression levels of inflammatory markers in the colon. The effect of DH on angiogenesis was explored by messenger RNA （mRNA） detection of colonic angiogenesis-related mediators， vascular endothelial growth factor （VEGF） immunohistochemistry， microvessel density （MVD） detection， and transmission electron microscopy. The phosphatidylinositol-3-kinase （PI3K）-protein kinase B （Akt） signaling pathway proteins were quantitatively analyzed through Western blot to assess whether the suppression of pathological angiogenesis by DH is associated with this pathway. ResultsNetwork pharmacological analysis yielded 112 potential core therapeutic targets for the treatment of UC with DH， of which the core targets were tumor protein 53 （TP53）， JUN， interleukin （IL）-6， Akt1， and tumor necrosis factor （TNF）. Compared with the normal group， mice in the model group showed significant weight loss， colon shortening， and high DAI score， increased expression of inflammatory factors IL-6， IL-1β， and TNF-α， as well as increased mRNA expression levels of angiogenesis-related mediators VEGF， vascular cell adhesion molecule 1 （VCAM1）， angiotensin 1 （Ang1）， matrix metalloproteinase （MMP）-1， MMP-2， and MMP-9. The positive expression of CD31 and VEGF in colonic tissue increased， and the protein expression of the PI3K/Akt pathway was increased （P<0.05）. The endothelial cells of the colonic mucosa and the colonic vasculature were severely damaged. Compared with the model group， mice in the DH groups had significantly reduced weight loss and colon shortening， lower DAI scores， and a significant decrease in mRNA expression of inflammatory factors and angiogenesis-related mediators. In addition， there was decreased positive expression of CD31 and VEGF in colonic tissue and decreased protein expression of the PI3K/Akt pathway （P<0.05）. ConclusionNetwork pharmacology， molecular docking， and experimental validation are applied to explore the mechanism of action of DH in the treatment of UC， and it is found that DH is able to improve the symptoms of colitis and inhibit the pathological angiogenesis in UC mice. Its action might be related to affecting the PI3K/Akt pathway.

ObjectiveTo explore the clinical safety of Feilike Mixture （FLK） in the real world. MethodsThe safety of all children who received FLK from 29 institutions in 12 provinces between January 21，2021 and December 25，2021 was evaluated through prospective centralized surveillance and a nested case control study. ResultsA total of 3 035 juveniles were included. There were 29 research centers involved，which are distributed across 12 provinces，including one traditional Chinese medicine （TCM） hospital and 28 general hospitals. The average age among the juveniles was （4.77±3.56） years old，and the average weight was （21.81±12.97） kg. Among them，119 cases （3.92%） of juveniles had a history of allergies. Acute bronchitis was the main diagnosis for juveniles，with 1 656 cases （54.46%）. FLK was first used in 2 016 cases （66.43%），and 142 juvenile patients had special dosages，accounting for 4.68%. Among them，92 adverse drug reactions （ADRs） occurred，including 73 cases of gastrointestinal system disorders，10 cases of metabolic and nutritional disorders，eight cases of skin and subcutaneous tissue diseases，two cases of vascular and lymphatic disorders，and one case of systemic diseases and various reactions at the administration site. The manifestations of ADRs were mainly diarrhea，stool discoloration，and vomiting，and no serious ADRs occurred. The results of multi-factor analysis indicated that special dosages （the use of FLK）［odds ratio （OR） of 2.642， 95% confidence interval （CI） of 1.105-6.323］，combined administration： spleen aminopeptide （OR of 4.978， 95%CI of 1.200-20.655），and reason for combined administration： anti-infection （OR of 1.814， 95%CI of 1.071-3.075） were the risk factors for ADRs caused by FLK. Conclusion92 ADRs occurred among 3 035 juveniles using FLK. The incidence of ADRs caused by FLK was 3.03%，and the severity was mainly mild or moderate. Generally，the prognosis was favorable after symptomatic treatment such as drug withdrawal or dosage reduction，suggesting that FLK has good clinical safety.

Protein lysine β-hydroxybutyrylation (Kbhb) is a newly discovered post-translational modification associated with a wide range of biological processes. Identifying Kbhb sites is critical for a better understanding of its mechanism of action. However, biochemical experimental methods for probing Kbhb sites are costly and have a long cycle. Therefore, a feature embedding learning method based on the Transformer encoder was proposed to predict Kbhb sites. In this method, amino acid residues were mapped into numerical vectors according to their amino acid class and position in a learnable feature embedding method. Then the Transformer encoder was used to extract discriminating features, and the bidirectional long short-term memory network (BiLSTM) was used to capture the correlation between different features. In this paper, a benchmark dataset was constructed, and a Kbhb site predictor, AutoTF-Kbhb, was implemented based on the proposed method. Experimental results showed that the proposed feature embedding learning method could extract effective features. AutoTF-Kbhb achieved an area under curve (AUC) of 0.87 and a Matthews correlation coefficient (MCC) of 0.37 on the independent test set, significantly outperforming other methods in comparison. Therefore, AutoTF-Kbhb can be used as an auxiliary means to identify Kbhb sites.
Protein Processing, Post-Translational ; Lysine/chemistry* ; Proteins/chemistry* ; Machine Learning ; Algorithms

OBJECTIVE: To evaluate the effectiveness of free medial femoral condyle (MFC) functional chimeric perforator flap (FCPF) transplantation in reconstructing joint function by repairing concomitant osteochondral defects and soft tissue defect in hand and foot joints. METHODS: A retrospective analysis was performed on 6 patients (5 males, 1 female; mean age of 33.4 years, range 21-56 years) with traumatic osteochondral joint defects and associated tendon, nerve, and soft tissue defects treated between January 2019 and November 2024. Defect locations included metacarpal heads (n=2), metacarpophalangeal joint (n=1), first metatarsal head (n=1), base of first proximal phalanx (n=1), and talar head (n=1), with soft tissue defects in all cases. Osteochondral defect sizes ranged from 1.5 cm×1.2 cm×0.7 cm to 4.0 cm×0.6 cm×0.6 cm, and skin defects ranged from 4 cm×3 cm to 13 cm×4 cm. The stage Ⅰ treatment included debridement, antibiotic-loaded bone cement filling of bone-cartilage defects, fracture internal fixation, and coverage with vacuum sealing drainage. Stage Ⅱ involved harvesting a free MFC- FCPF included an osteochondral flap (range of 1.5 cm×1.2 cm×0.7 cm to 4.0 cm×0.6 cm×0.6 cm), gracilis and/or semitendinosus tendon grafts (length of 4-13 cm), saphenous nerve graft (length of 3.5-4.0 cm), and a perforator skin flap (range of 6 cm×4 cm to 14 cm×6 cm), each with independent vascular supply. The flap was transplanted to reconstruct joint function. Donor sites were closed primarily or with skin grafting. Flap survival was monitored postoperatively. Radiographic assessment was used to evaluate bone/joint healing. At last follow-up, the joint function recovery was assessed. RESULTS: All 6 MFC-FCPF survived completely, with primary healing of wounds and donor sites. All patients were followed up 6-44 months (mean, 23.5 months). The flaps at metacarpophalangeal joint in 1 case and at ankle joint in 1 case were treated with degreasing repair because of their bulky appearance, while the other flaps had good appearance and texture. At 3 months after operation, the visual analogue scale (VAS) score for pain during joint movement of recipient site was 0-2, with an average of 0.7; at last follow-up, the VAS score of the donor site was 0-1, with an average of 0.3. According to the Paley fracture healing scoring system, the osteochondral healing of all the 6 patients was excellent. The range of motion of the metacarpophalangeal joint in 3 cases was 75%, 90%, and 100% of contralateral side respectively, the range of motion of the metatarsophalangeal joint in 2 cases was 65% and 95% of contralateral side respectively, and the range of motion of the ankle joint in 1 case was 90% of contralateral side. The hand function was evaluated as excellent in 2 cases and good in 1 case according to the upper limb function evaluation standard of the Chinese Medical Association Hand Surgery Society, and the foot function was evaluated as excellent in 2 cases and fair in 1 case according to the Maryland foot function score of 93, 91, and 69, respectively. The International Knee Documentation Committee (IKDC) score of 6 knees was 91-99, with an average of 95.2. CONCLUSION The free MFC-FCPF enables precise anatomical joint reconstruction with three-dimensional restoration of tendon, nerve, capsule, and soft tissue defects, effectively restoring joint function and improving quality of life.
Humans ; Male ; Adult ; Female ; Middle Aged ; Retrospective Studies ; Plastic Surgery Procedures/methods* ; Soft Tissue Injuries/surgery* ; Perforator Flap/blood supply* ; Femur/surgery* ; Young Adult ; Foot Joints/injuries* ; Treatment Outcome

Loss-of-function variants of low-density lipoprotein receptor-related protein 5 (LRP5) can lead to reduced bone formation, culminating in diminished bone mass. Our previous study reported transcription factor osterix (SP7)‍-binding sites on the LRP5 promoter and its pivotal role in upregulating LRP5 expression during implant osseointegration. However, the potential role of SP7 in ameliorating LRP5-dependent osteoporosis remained unknown. In this study, we used mice with a conditional knockout (cKO) of LRP5 in mature osteoblasts, which presented decreased osteogenesis. The in vitro experimental results showed that SP7 could promote LRP5 expression, thereby upregulating the osteogenic markers such as alkaline phosphatase (ALP), Runt-related transcription factor 2 (Runx2), and β‍-catenin (P<0.05). For the in vivo experiment, the SP7 overexpression virus was injected into a bone defect model of LRP5 cKO mice, resulting in increased bone mineral density (BMD) (P<0.001) and volumetric density (bone volume (BV)/total volume (TV)) (P<0.001), and decreased trabecular separation (Tb.‍Sp) (P<0.05). These data suggested that SP7 could ameliorate bone defect healing in LRP5 cKO mice. Our study provides new insights into potential therapeutic opportunities for ameliorating LRP5-dependent osteoporosis.
Animals ; Low Density Lipoprotein Receptor-Related Protein-5/metabolism* ; Osteoporosis/genetics* ; Mice ; Mice, Knockout ; Sp7 Transcription Factor/physiology* ; Osteogenesis ; Bone Density ; Osteoblasts/metabolism* ; Core Binding Factor Alpha 1 Subunit/metabolism* ; Mice, Inbred C57BL ; beta Catenin/metabolism*

Objective To quantitatively evaluate age-,sex-,and segment-related characteristics of lumbar disc degeneration(LDD)in patients with low back pain(LBP)using T1rho MRI,and assess its diagnostic value in early-stage disc degeneration.Methods A retrospective cross-sectional study was conducted on 89 LBP patients(balanced distribution across ages 20～29,30～39,40～49,50～59 years and genders)admitted in Department of Orthopedics of First Affiliated Hospital of Army Medical University from March 2024 to February 2025.All patients underwent lumbar MRI including T1rho sequences.Two senior radiologists performed blinded Pfirrmann grading on 445 intervertebral discs and measured T1rho values of the nucleus pulposus(NP).Kappa test was used to evaluate the inter-observer agreement of Pfirrmann grading,and Spearman correlation coefficient was employed to analyze the correlation between Pfirrmann grade and NP-T1rho value.Disc degeneration characteristics were compared across different ages,sexes,and spinal segments.After adjusting for body mass index(BMI)and gender,partial correlation analysis was used to assess the correlation between NP-T1rho value of each lumbar segment and age.Receiver operating characteristic(ROC)curve was plotted to analyze the diagnostic performance of T1rho quantification for early LDD in LBP patients.Results Good inter-observer agreement was observed in Pfirrmann grading across segments,with a Kappa coefficient of>0.70.The NP-T1rho values of all NP were in a strong negative correlation with Pfirrmann grades(r=-0.877,P<0.001).The NP-T1rho values were progressively decreased from Pfirrmann gradesⅠ to Ⅳ(P<0.001),with a steep decline between gradesⅡ and Ⅲ.The patients aged 20～29 and 30～39 years showed significantly higher NP-T1rho values in Pfirrmann grades Ⅰ and Ⅱ discs when compared with those aged 40～49 and 50～59 years(P<0.05).The males had significantly higher mean NP-T1rho values in grade I than the females(P=0.006).In the upper spinal segments(L1～L4),the males exhibited significantly higher mean NP-T1rho value than the females(P=0.025),and NP-T1rho value was decreased obviously with increase of age across all age groups(P<0.05).Except L5/S1 segments,NP-T1rho value and age in all spinal segments had significant negative correlations(r=-0.548～-0.349,P<0.001).The area under the curve(AUC)for distinguishing grade Ⅰ from Ⅱ discs was 0.824(95%CI:0.772～0.876),and for grades Ⅱ from Ⅲ was 0.978(95%CI:0.964～0.992).Conclusion T1rho MRI provides accurate quantitative assessment of early lumbar disc degeneration in LBP patients,with an NP-T1rho value of 79.87 ms serving as a discriminative threshold between grade Ⅱ and grade Ⅲ.

Objective To investigate the association between serum magnesium levels,serum phosphorus concentrations,vascular calcification,and cardiovascular disease mortality in maintenance hemodialysis patients.Methods This study enrolled 200 hemodialysis patients admitted to Nanjing Drum Tower Hospital from May 2020 to May 2022 as subjects,with an additional 200 healthy individuals from the same period selected as a control group.The biochemical indicators between the two groups were compared;their correlations were analyzed.Binary logistic regression was used to investigate the independent factors of serum magnesium and phosphorus levels in relation to vascular calcification and cardiovascular events in maintenance hemodialysis patients.ROC curve analysis was employed to assess the predictive value of serum magnesium and phosphorus for vascular calcification and cardiovascular events.Results The research group's patients exhibited significantly elevated levels of blood phosphorus,calcium-phosphorus product,iPTH,AACS,and 25-(OH)-VitD compared to the control group.In contrast,their blood magnesium and BMP-7 levels were notably lower than those of the control group,with statistical significance(P<0.05).Pearson correlation showed positive correlations between serum magnesium and serum calcium,phosphorus,calcium-phosphorus product,25-(OH)-VitD3,and BMP-7(r=0.385,0.183,0.141,0.131,0.458,P<0.05);between serum calcium and serum phosphorus,calcium-phosphorus product,iPTH,AACS,25-(OH)-VitD3,and BMP-7(r=0.318),correlation(r=0.318,0.311,0.098,0.170,0.277,0.485,P<0.05);between serum phosphorus and calcium-phosphorus product,iPTH,AACS,25-(OH)-VitD3(r=0.362,0.506,0.367,0.461,P<0.05);between calcium-phosphorus product and iPTH,AACS,25-(OH)-VitD3(r=0.542,0.373,0.434,P<0.05);between iPTH and AACS,25-(OH)-VitD3 showing positive correlations(r=0.553,0.616,P<0.05)and a negative correlation with BMP-7(r=-0.373,P<0.05);between AACS and 25-(OH)-VitD3 showing a positive correlation(r=0.402,P<0.05),and a negative correlation with BMP-7(r=-0.155,P<0.05),with statistically significant differences(P<0.05).Statistically significant differences were noted between the two groups in age,diabetes,serum magnesium,serum calcium,serum phosphorus,calcium-phosphorus product,25-(OH)-VitD3,and hs-CRP(P<0.05).Logistic regression analysis showed that age,serum magnesium,serum calcium,serum phosphorus,calcium phosphate product,25-(OH)-vitamin I were all risk factors for cardiovascular disease(CVD)mortality in maintenance hemodialysis(MHD)patients(P<0.05).ROC curve analysis showed that serum magnesium,serum calcium,and serum phosphorus had predictive areas under the curve(AUC)of 0.895,0.802,and 0.851 for CVD mortality in MHD patients,with sensitivities and specificities of 87.5%/98.7%,66.7%/90.8%,and 72.9%/100%,respectively.The combined prediction for CVD mortality in MHD patients showed an AUC of 0.921,with a sensitivity of 81.3%and specificity of 93.4%.Conclusion MHD patients exhibit low blood magnesium levels,elevated serum phosphorus concentrations,and increased calcium-phosphorus product,with complex correlations among these biomarkers.Age,magnesium,calcium,and phosphorus levels were all associated with CVD mortality.ROC curve analysis demonstrates that magnesium,calcium,and phosphorus,both individually and in combination,have high predictive value for CVD mortality risk.

ObjectiveIn order to improve the recognition accuracy of named entities in medical record texts and realize the effective mining and utilization of medical record knowledge， a Bert-Radical-Lexicon（BRL） neural network model is constructed to recognize medical record entities with respect to the characteristics of medical record texts. MethodWe selected 408 medical records related to hypertension from the the Complete Library of Famous Medical Records of Chinese Dynasties and constructed a dataset consisting of 1 672 medical records by manually labeling. Then， we randomly divided the dataset into three subsets， including the training set（1 004 cases）， the testing set （334 cases） and the validation set（334 cases）. Based on this dataset， we built a BRL model that fused various text features of medical records， as well as its variants BRL-B， BRL-L and BRL-R， and a baseline model Base for experiments. During the model training phase， we trained the above models using the training set to reduce the risk of overfitting. We continuously monitored the performance of each model on the validation set during training and saved the model with the best performance. Finally， we evaluated the performance of these models on the testing set. ResultCompared with other models， the BRL model had the best performance in the medical records named entity recognition task， with an overall recognition precision of 90.09%， a recall of 90.61%， and the harmonic mean of the precision and recall（F1） of 90.35% for eight types of entities， including disease， symptom， tongue manifestation， pulse condition， syndrome， method of treatment， prescription and traditional Chinese medicine（TCM）. Compared with the Base model， the BRL model improved the overall F1 value of entity recognition by 5.22%， and the F1 value of pulse condition entity increased by 6.92%， which was the largest increase. ConclusionBy incorporating a variety of medical record text features in the embedding layer， the BRL neural network model has stronger named entity recognition ability， and thus extracts more accurate and reliable TCM clinical information.