ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

Endoscopic transforaminal lumbar interbody fusion (TLIF) offers substantial advantages in the management of degenerative spinal diseases, including accelerated postoperative recovery. However, its technical complexity and steep learning curve pose risks for nerve root injury. Optimizing nerve root protection in full-endoscopic facet-sparing TLIF (FE fs-TLIF) and full-endoscopic facet-resecting TLIF (FE fr-TLIF) is essential for enhancing surgical safety. This study aimed to improve the nerve root protection in FE fs-TLIF and FE fr-TLIF by optimizing cage glider selection and insertion techniques based on the specific cage shape—banana-shaped or bullet-shaped. The goal was to ensure safe cage positioning and mitigate nerve root injury during discectomy, endplate preparation, and cage insertion. These strategies were validated through cadaveric simulations and clinical implementation. In FE fr-TLIF utilizing bullet-shaped (straight) cages, one-tip and two-tip cage gliders effectively protected the traversing nerve root by facilitating medial cage entry, thereby minimizing irritation of the exiting nerve root. Conversely, in FE fr-TLIF with banana-shaped cages, the lateral tilt of the cage holder during implantation required the use of a two-tip cage glider to protect the traversing and exiting nerve roots, thereby mitigating the potential risk of nerve irritation. In FE fs-TLIF, a one-tip cage glider is preferred for safeguarding the exiting nerve root, while the traversing root is inherently protected by the medial wall of the facet joint. The use of a two-tip cage glider in FE fs-TLIF can cause injury to the nerve root during glider insertion. In addition to the selection of cage gliders, improper cage insertion steps can also contribute to postoperative neurapraxia. The appropriate selection of cage gliders with corresponding insertion techniques is critical for nerve root protection in endoscopic TLIF. Tailoring these choices to the specific approach (FE fs-TLIF or FE fr-TLIF) and cage type (banana or bullet) enhances surgical safety and clinical outcomes.

Objective To investigate the effects and mechanism of Xuefu Zhuyu Decoction in oxidative stress in coronary heart disease model rats with heart blood stasis syndrome based on Keap1/Nrf2 signaling pathway.Methods The rats were divided into normal group,sham-operation group,model group,Xuefu Zhuyu Decoction group and trimetazidine group.The rat model of coronary heart disease with heart blood stasis syndrome was established by ligation of the left anterior descending branch of the coronary artery.Xuefu Zhuyu Decoction group and trimetazidine group were administrated with the corresponding drugs at the dosages of 14.04 g/kg and 5.4 mg/kg,respectively,and normal group,sham-operation group and model group were administrated with the same volume of normal saline for 14 days.The general state of rats was observed,body mass was recorded and electrocardiogram was collected.Echocardiography was used to examine cardiac functions(LVEF,LVFS,LVIDd,LVIDs);the morphology of myocardial tissue was observed by HE staining,serum malondialdehyde(MDA),superoxide dismutase(SOD),glutathione peroxidase(GSH-Px)and total antioxidant capacity(T-AOC)were detected by ELISA,the positive expressions of Keap1,Nrf2,HO-1 and NQO1 in myocardial tissue were detected by immunohistochemistry.Results Compared with the normal group and sham-operation group,the rats in the model group showed signs of mental fatigue,reduced activity,dull fur,purple claws,and a significant decrease in body mass(P<0.01);the ST segment in lead Ⅱ of the electrocardiogram was significantly elevated,LVEF and LVFS were significantly reduced,and LVIDd and LVIDs significantly increased(P<0.01),with severe degeneration and necrosis of myocardial cells,disappearance of striated structures,disordered arrangement of myocardial fibers,infiltration of inflammatory cells;the serum MDA content significantly increased,while the activities of SOD,GSH-Px and T-AOC significantly decreased(P<0.01);the positive expressions of Keap1 and Nrf2 in myocardial tissue significantly increased,while the positive expression of HO-1 and NQO1 significantly decreased(P<0.01).Compared with the model group,the rats in Xuefu Zhuyu Decoction group and trimetazidine group showed improvement in their mental state,increased activity,shiny fur,rosy nails,and significantly increased body mass(P<0.01);the ST segment of the electrocardiogram decreased to varying degrees,with significant increases in LVEF and LVFS,and significant decreases in LVIDd and LVIDs(P<0.01);a large number of myocardial cells survived,the arrangement of myocardial fibers was relatively regular,and the infiltration of inflammatory cells was significantly reduced;the serum MDA content was significantly reduced,while the activities of SOD,GSH-Px and T-AOC significantly increased(P<0.01);the positive expression of Keap1 in myocardial tissue significantly decreased,while the positive expressions of Nrf2,HO-1 and NQO1 significantly increased(P<0.01).Conclusion Xuefu Zhuyu Decoction may inhibit oxidative stress by activating Keap1/Nrf2 signaling pathway to improve the pathological morphology and structural damage of myocardial tissue and promote the recovery of cardiac functions in rats with heart blood stasis syndrome of coronary heart disease.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

This study aims to screen epitope antigens targeting the receptor binding domain(RBD)of porcine epidemic diarrhea virus(PEDV)based on its amino acid sequence(GenBank accession number:AKN45969.1),prepare PEDV RBD polyclonal antibody,and perform their identification.Bioinformatics analysis software was used to predict the potential antigenic epitopes of PEDV RBD and sequence comparison with porcine coronavirus strains was performed,the selected dominant antigen epitopes were then conjugated with keyhole limpet hemocyanin(KLH),to synthesize pep-tides directly and immunize mice to generate specific antibody,Western blot technique and indirect immunofluorescence assay were utilized to identify the specificity of the antibodies,and indirect ELISA method was further applied to determine the antibody potency.Results showed the selected PEDV RBD dominant epitope sequence shared 100％similarity with 18 other PEDV strains,while exhibiting low sequence similarity with 11 TGEV strains(27.8％—29.3％)and 16 PDCoV strains(10.5％—13.4％),indicating good epitope conservation.Western blot showed that the specificity of the prepared peptide antibody specifically recognized the PEDV RED protein overexpressed in Ex-pi293F cells and overexpressed in baculovirus system,and at the same time,the antibody was still able to detect the PEDV S protein expressed in PEDV-infected Vero cells at a 1∶2 000 dilution,while it did not react with TGEV-and PDCoV-infected ST cells,indicating that the good specificity of the peptide antibody.ELISA revealed that the potency of specific antibodies in mouse serum could reach up to 1∶25 600.The above results indicate that bioinformatics techniques were suc-cessfully utilized to predict antigenic epitopes of PEDV RBD protein,and specific PEDV RBD pep-tide antibodies were prepared.

Aim To study the effect of anti-PD-L1 monoclonal antibody on high-fat diet-induced athero-sclerosis in ApoE-/-mice.Methods Twenty-four ApoE-/-mice were randomly divided into the normal group,high-fat group,and high-fat+anti-PD-L1 mAb group.After 70 days,the blood samples were harves-ted.Blood vessels(aortic root to abdominal aorta)and liver from each groups were stained with Oil Red O.Hematoxylin-eosin staining(HE)was employed to vis-ualize structural changes in liver.Enzyme-linked im-munosorbent assay(ELISA)was applied to detect the serum levels of total cholesterol(CHO),triglyceride(TG),high-density lipoprotein(HDL-c),low-density lipoprotein(LDL-c)and inflammatory factors(IFN-γ,TNF-α,IL-1 β).Flow cytometry was used to detect the proportion of lymphocytes(CD4 and CD8).RT-PCR was utilized to assess the expressions of IFN-γ,TNF-α,IL-1 β,CD4 and CD8 in liver.Results Compared with the high-fat group,the treatment with anti-PD-L1 monoclonal antibody promoted vascular wall and liver lipid accumulation,and also up-regulated serum and liver content of cholesterol(CHO),triglyceride(TG)and high-density lipoprotein(HDL-c).Treatment with anti-PD-L1 monoclonal antibody up-regulated the con-tent of alanine aminotransferase(GPT)and aspartate aminotransferase(GOT)in serum and liver,but not al-kaline phosphatase(AKP).ELISA test indicated that treatment with anti-PD-L1 monoclonal antibody stimu-lated the serum level of IFN-γ,TNF-α and IL-1 β.Fur-thermore,the mRNA level of IFN-γ,TNF-α and IL-1 βin liver was also up-regulated after treatment with anti-PD-L1 monoclonal antibody.With flow cytometry,we observed that treatment with anti-PD-L1 monoclonal antibody promoted hepatic CD8+T and CD8+IFN-γ+T cell activation,but had no effect on CD4+IFN-γ+T cell activation under high-fat feeding conditions.Con-clusions Anti-PD-L1 monoclonal antibody adminis-tered under high-fat feeding conditions can damage liv-er function and aggravate atherosclerosis by activating liver CD8+IFN-γ+T cells.

Objective:To explore the relationship between irrational procrastination and compulsory citizenship behavior among clinical nurses,and to investigate the role of psychological entitlement in this relationship.Meth-ods:A sample of 413 clinical nurses from a tertiary hospital was selected for this study.The Irrational Procrastina-tion Scale(IPS),Compulsory Citizenship Behavior Scale(CCBS),and Psychological Entitlement Scale(PES)were used for evaluation.Results:The scores of IPS,CCBS and PES were positively correlated with each other(r=0.53,0.56,0.39,Ps＜0.01).Psychological entitlement partially mediated the relationship between compulsory citi-zenship behavior and irrational procrastination among clinical nurses,with an indirect effect of 0.17,accounting for 13.85％of the total effect.Conclusion:Psychological entitlement plays a partial mediating role in the relationship between compulsory citizenship behavior and irrational procrastination among clinical nurses.

The coil adverse events in the U.S.Food and Drug Administration Manufacturer and User Facility Device Experience(MAUDE)database from January 2021 to June 2024 were analyzed retrospectively.The risks of coils during the clinical application and their causes were explored with hospital survey and expert demonstration in Shandong Province.Some improving measures were put forward for the safe use of coils,including implementing the main responsibility of the registrant,enhancing the professional skills of the using institutions and strengthening the supervision of the supervisory authorities.[Chinese Medical Equipment Journal,2025,46(6):83-87]

Objective To investigate the effects and mechanism of Xuefu Zhuyu Decoction in oxidative stress in coronary heart disease model rats with heart blood stasis syndrome based on Keap1/Nrf2 signaling pathway.Methods The rats were divided into normal group,sham-operation group,model group,Xuefu Zhuyu Decoction group and trimetazidine group.The rat model of coronary heart disease with heart blood stasis syndrome was established by ligation of the left anterior descending branch of the coronary artery.Xuefu Zhuyu Decoction group and trimetazidine group were administrated with the corresponding drugs at the dosages of 14.04 g/kg and 5.4 mg/kg,respectively,and normal group,sham-operation group and model group were administrated with the same volume of normal saline for 14 days.The general state of rats was observed,body mass was recorded and electrocardiogram was collected.Echocardiography was used to examine cardiac functions(LVEF,LVFS,LVIDd,LVIDs);the morphology of myocardial tissue was observed by HE staining,serum malondialdehyde(MDA),superoxide dismutase(SOD),glutathione peroxidase(GSH-Px)and total antioxidant capacity(T-AOC)were detected by ELISA,the positive expressions of Keap1,Nrf2,HO-1 and NQO1 in myocardial tissue were detected by immunohistochemistry.Results Compared with the normal group and sham-operation group,the rats in the model group showed signs of mental fatigue,reduced activity,dull fur,purple claws,and a significant decrease in body mass(P<0.01);the ST segment in lead Ⅱ of the electrocardiogram was significantly elevated,LVEF and LVFS were significantly reduced,and LVIDd and LVIDs significantly increased(P<0.01),with severe degeneration and necrosis of myocardial cells,disappearance of striated structures,disordered arrangement of myocardial fibers,infiltration of inflammatory cells;the serum MDA content significantly increased,while the activities of SOD,GSH-Px and T-AOC significantly decreased(P<0.01);the positive expressions of Keap1 and Nrf2 in myocardial tissue significantly increased,while the positive expression of HO-1 and NQO1 significantly decreased(P<0.01).Compared with the model group,the rats in Xuefu Zhuyu Decoction group and trimetazidine group showed improvement in their mental state,increased activity,shiny fur,rosy nails,and significantly increased body mass(P<0.01);the ST segment of the electrocardiogram decreased to varying degrees,with significant increases in LVEF and LVFS,and significant decreases in LVIDd and LVIDs(P<0.01);a large number of myocardial cells survived,the arrangement of myocardial fibers was relatively regular,and the infiltration of inflammatory cells was significantly reduced;the serum MDA content was significantly reduced,while the activities of SOD,GSH-Px and T-AOC significantly increased(P<0.01);the positive expression of Keap1 in myocardial tissue significantly decreased,while the positive expressions of Nrf2,HO-1 and NQO1 significantly increased(P<0.01).Conclusion Xuefu Zhuyu Decoction may inhibit oxidative stress by activating Keap1/Nrf2 signaling pathway to improve the pathological morphology and structural damage of myocardial tissue and promote the recovery of cardiac functions in rats with heart blood stasis syndrome of coronary heart disease.