As a distinctive resource of Chinese civilization， traditional Chinese medicine （TCM） technology transfer faces significant opportunities under the background of digital and intelligent transformation， while also being constrained by unique challenges such as the complexity of its theoretical system， lengthy industrial chains， and multidimensional policy restrictions， resulting in a "high-value-high-threshold" paradox. At present， TCM technology transfer is deeply trapped in a "threefold reluctance" dilemma， i.e.， unwillingness to transfer， inability to transfer， and lack of capacity to transfer. Specifically， the disconnection between scientific research evaluation systems and market demand leads to low conversion rates of research achievements， unclear ownership and compliance risks suppress innovation incentives， and the absence of professional services intensifies supply-demand mismatches. This article systematically analyzes the specific characteristics of TCM technology transfer and proposes a breakthrough pathway centered on full-chain digital and intelligent transformation. By integrating technologies such as intelligent sorting systems， blockchain-based traceability， and AI diagnostic models， the TCM ecosystem spanning "cultivation-production-service" can be reconstructed. In terms of standardization， promoting the progression from "experience-based data conversion" to "data standardization" and further to "intelligent standardization" is advocated to resolve quality control challenges. For example， a "three-no-one-full" certification system can strengthen quality trust. Policy coordination should focus on optimizing mechanisms for the transformation of scientific and technological achievements， while exploring intellectual property securitization and risk-sharing models to stimulate research momentum. In terms of internationalization， reliance on the Belt and Road Initiative platform to promote the export of geo-authentic medicinal material brands and standards is recommended to build a dual-driven model of "technology plus culture". Looking ahead， through the construction of national-level databases， the cultivation of interdisciplinary talent， and the mutual recognition of international standards， a new paradigm of "scientific intelligent manufacturing" can be formed， providing systematic solutions for the modernization of TCM and global health governance.

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.

Objective:To explore the potential mechanism of action of Xian Fang Huo Ming Yin modified formula(XFHMY)in the treatment of medication-related osteonecrosis of the jaw(MRONJ)through bioinformatics analysis and in vitro and in vivo experiments.Methods:Firstly,the efficacy of XFHMY was evaluated by establishing a mice model of MRONJ induced by zoledronic acid(ZOL);Subsequently,the potential molecular mechanism of XFHMY in the treatment of MRONJ was predicted by using network pharmacology;Lastly,the network pharmacology prediction results were collectively validated through MC3T3-E1 cell proliferation and differentiation experiments,Western blot analysis,and immunohistochemical staining of mouse maxillary bone tissue.Results:Animal experiments showed that,compared to the model group,the XFHMY group exhibited significantly improved wound healing in the tooth extraction socket(P＜0.001),a significant reduction in bone volume fraction and empty lacunae rate in the maxilla(P＜0.0001,P＜0.001),and a significant increase in trabecular separation and osteoclast number(P＜0.01,P＜0.05).Network pharmacology analysis identified 59 common targets,with both GO and KEGG analyses indicating the Wnt/β-catenin signaling pathway as a crucial mechanism for XFHMY in treating MRONJ.Ten key active components,including quercetin,luteolin,and fisetin,were screened,and these compounds demonstrated strong binding affinity with CTNNB1,a core target of this pathway.In vitro experiments revealed that XFHMY(0.25,0.5,1,2,4 mg/mL)promoted MC3T3-E1 cell proliferation(P＜0.0001)and activated the Wnt/β-catenin pathway by upregulating β-catenin and Runx2 protein expression,thereby reversing ZOL-induced inhibition of MC3T3-E1 cell proliferation and differentiation while enhancing both processes.Immunohistochemical analysis of mouse maxillae showed that,compared to the model group,the XFHMY group had significantly increased β-catenin and Runx2 protein expression(P＜0.05,P＜0.01),consistent with the in vitro findings.Conclusion:XFHMY promotes the proliferation and differentiation of osteoblasts through activating the Wnt/β-catenin signaling pathway,which in turn attenuates MRONJ.The novel pharmacological mechanism proposed in this study provides a theoretical basis for the clinical application of XFHMY.

Objective To evaluate the efficacy,safety and economy of vonoprazan in the treatment of post-endoscopic submucosal dissection(ESD)ulcer by rapid health technology assessment method,and to provide reference for clinical treatment decision.Methods PubMed,Cochrane Library,Embase,ScienceDirect,CNKI,WanFang Data databases and the official website of health technology assessment(HTA)agency were electronically searched to collect HTA reports,systematic reviews/Meta-analysis and pharmacoeconomic studies of vonoprazan in the treatment of post-ESD ulcer from inception to July 31,2024.Two researchers independently screened literature,extracted data,and comprehensively analyzed the results of the included literature on the basis of literature quality evaluation.Results A total of 8 studies were included,all were systematic reviews/Meta-analysis.In terms of effectiveness,compared with proton pump inhibitors(PPI),vonoprazan significantly increased the overall ulcer healing rate after ESD and more rapid reduction of ulcer area(P<0.05).The results of subgroup analysis showed that there was no significant difference in ulcer healing rate between vonoprazan and PPI treatment at 4 or 8 weeks after ESD(P>0.05).Vonoprazan significantly increased the rate of postoperative ulcer reduction in H.pylori positive patients compared with PPI(P<0.05).In terms of safety,compared with PPI,vonoprazan reduced the incidence of overall adverse events rate(P<0.05).The difference in the incidence of delayed bleeding and ulcer perforation between vonoprazan and PPIs showed no statistically significant difference.(P>0.05).Conclusion Vonoprazan demonstrated favorable efficacy and safety in the treatment of ESD ulcers,and further economic studies are warranted.

Background::The increasing incidence of inflammatory bowel disease (IBD) presents significant medical and societal challenges. A well-designed IBD database is crucial for both epidemiological studies and clinical management. However, inconsistencies between regional databases hinder cross-institutional and international research, especially between Eastern and Western societies.Methods::We developed a new IBD database, the 301 IBD database, integrating the IBD clinical characteristics from the Penn IBD database (USA) and the latest IBD guidelines and consensus and clinical practices of the Chinese PLA General Hospital (PLAGH). We applied this database to analyze clinical data of IBD inpatients at PLAGH from 2008 to 2023.Results::The 301 IBD database contains 490 items in 6 sections including demographic characteristics, personal history, clinical phenotype, disease activity, laboratory tests and examinations, and treatment. Features of the 301 IBD database include inpatient focus, biochemical indicators and opportunistic infection focus, and more about ulcerative colitis (UC)-associated complications. Single-center analysis revealed an increasing hospitalization trend, from 2.35% in 2008 to 3.94% in 2023. We found that the clinical characteristics of our UC inpatients are predominantly male (62.5%), extensive lesions (55.1%), low usage of biologics (4.1%), and a high incidence of UC-CRC (3.0%). The clinical characteristics of CD inpatients included male predominance (68.39%), early onset age (35.43 ± 14.75-year-old), and high rate of surgery (25.81%).Conclusion::The 301 IBD database, integrating Eastern and Western clinical data, provides a valuable tool for IBD clinical research. Future international, multicenter collaborations are expected to further enhance its utility.

Objective:To explore the potential mechanism of action of Xian Fang Huo Ming Yin modified formula(XFHMY)in the treatment of medication-related osteonecrosis of the jaw(MRONJ)through bioinformatics analysis and in vitro and in vivo experiments.Methods:Firstly,the efficacy of XFHMY was evaluated by establishing a mice model of MRONJ induced by zoledronic acid(ZOL);Subsequently,the potential molecular mechanism of XFHMY in the treatment of MRONJ was predicted by using network pharmacology;Lastly,the network pharmacology prediction results were collectively validated through MC3T3-E1 cell proliferation and differentiation experiments,Western blot analysis,and immunohistochemical staining of mouse maxillary bone tissue.Results:Animal experiments showed that,compared to the model group,the XFHMY group exhibited significantly improved wound healing in the tooth extraction socket(P＜0.001),a significant reduction in bone volume fraction and empty lacunae rate in the maxilla(P＜0.0001,P＜0.001),and a significant increase in trabecular separation and osteoclast number(P＜0.01,P＜0.05).Network pharmacology analysis identified 59 common targets,with both GO and KEGG analyses indicating the Wnt/β-catenin signaling pathway as a crucial mechanism for XFHMY in treating MRONJ.Ten key active components,including quercetin,luteolin,and fisetin,were screened,and these compounds demonstrated strong binding affinity with CTNNB1,a core target of this pathway.In vitro experiments revealed that XFHMY(0.25,0.5,1,2,4 mg/mL)promoted MC3T3-E1 cell proliferation(P＜0.0001)and activated the Wnt/β-catenin pathway by upregulating β-catenin and Runx2 protein expression,thereby reversing ZOL-induced inhibition of MC3T3-E1 cell proliferation and differentiation while enhancing both processes.Immunohistochemical analysis of mouse maxillae showed that,compared to the model group,the XFHMY group had significantly increased β-catenin and Runx2 protein expression(P＜0.05,P＜0.01),consistent with the in vitro findings.Conclusion:XFHMY promotes the proliferation and differentiation of osteoblasts through activating the Wnt/β-catenin signaling pathway,which in turn attenuates MRONJ.The novel pharmacological mechanism proposed in this study provides a theoretical basis for the clinical application of XFHMY.

Objective To investigate the clinical prognosis of untreated residual coronary artery dissection treated with drug coated balloon(DCB).Methods A retrospective analysis was conducted on the clinical and imaging data of patients with primary coronary artery lesions(2.5-4.0 mm)treated with DCB under angiography guidance at Xuzhou Cancer Hospital,Xuzhou New Health Geriatric Hospital,and Peixian Guotai Hospital from September 2017 to April 2023.According to the observation of coronary artery dissection through angiography,the patients were divided into a dissection group and a non dissection group.The main endpoint of this study was the major adverse cardiovascular event(MACE)during a 12-month follow-up.Results A total of 381 patients were enrolled in the three research centers,with 30 cases(30 lesions)in the dissection group and 351 cases(367 lesions)in the non dissection group.There was no significant difference between the two groups in terms of age,gender,hypertension,hyperlipidemia,diabetes,smoking,previous myocardial infarction,previous percutaneous coronary intervention,coronary artery bypass grafting and other baseline clinical characteristics(all P＞0.05).Except for the reference vessel diameter(P=0.049)and DCB pressure(P=0.032),there was no statistically significant difference in the characteristics of coronary angiography lesions between the two groups of patients(both P＞0.05).During a 12-month follow-up,there was no statistically significant difference(P＞0.05)in the incidence of MACE between the dissection group and the non dissection group after DCB treatment for primary coronary artery lesions in situ.Conclusions Untreated residual dissection after DCB treatment of de novo coronary lesions does not lead to an increase in clinical MACE.

Objective To provide a comprehensive review of the modeling method of the empty bottle stimulation(EBS)anxiety model,including commonly used experimental animal strains and genders,animal grouping,modeling procedures,modeling duration,primary behavioral evaluation method,and the underlying pathological mechanisms.This aims to offer a reference for the application of the EBS anxiety model in anxiety disorder research.Methods Searches were conducted in databases such as CNKI and PubMed to collect all literature related to the EBS anxiety model,which were then systematically summarized and organized.Results(1)Male adult SD or Wistar rats are predominantly used as experimental animals;(2)The optimal modeling period is 2 weeks;(3)Behavioral evaluations primarily utilize the open field test,elevated plus maze test,and light-dark box test;(4)Pathological mechanisms involve abnormal neurotransmitter metabolism in brain regions such as the hippocampus,prefrontal cortex,and amygdala.Conclusions The EBS anxiety model exhibits an anxiety-like behavioral phenotype and associated neurobiological mechanisms,validating its utility as an animal model for the study of anxiety disorders.However,further exploration and refinement are required for its standardized construction protocol and the understanding of its mechanistic underpinnings.

Adriamycin is a widely used anti-tumor drug.Targeting mitochondrial fusion proteins/mitofusion 1/2(MFN1/2)and nuclear factor-erythroid 2-related factor 2(NRF2)can up-regulate the expression of mitochondrial fusion protein through PKCε/Stat3/MFN2,SIRT1/MFN2,AMPK/NRF2 and other signaling pathways,promote mitochondrial fusion,maintain kinetic balance and protect mitochondrial function,reduce myocardial cell apoptosis and reduce cardiac toxicity.Understanding the regulatory role and mechanism of mitochondrial fusion in doxorubicin-induced cardio toxicity will provide new strategies for the prevention and treatment of diseases.