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 development trend and knowledge structure of the research on human use experience （HUE） of traditional Chinese medicine （TCM） were systematically reviewed， and the core challenges and future directions were identified. This study aims to provide reference for the construction of a scientific and feasible research and development framework and evidence transformation system. MethodsLiterature related to "human use experience" published from January 1， 2019 to July 31， 2025 was retrieved from the China National Knowledge Infrastructure （CNKI）， Wanfang， China Science and Technology Journal Database （VIP）， and PubMed databases. Bibliometric visualization was conducted using Excel， VOSviewer， and CiteSpace， followed by in-depth reading and thematic summarization of core literature. ResultsA total of 181 papers were included for bibliometric analysis， with 45 articles used for in-depth thematic mining. The analysis showed that the number of publications on HUE research has increased in a stepwise manner over the past five years. Yang Zhongqi （24 times） was the core of the author network， the journal with the highest number of publications was China Journal of Chinese Materia Medica， the institutions publishing the most articles were mainly research institutions， regulatory agencies， hospitals， and universities， high-frequency keywords included "new TCM drugs"， "real-world studies"， and "clinical comprehensive evaluation"， keyword clustering analysis formed three major clusters： Policy orientation， application fields， and methodological approaches. Thematic analysis reveals that HUE-based evaluation should be integrated throughout the research and development process， encompassing three dimensions： TCM theory， clinical value， and pharmaceutical fundamentals， with toxic herbs and compatibility contraindications being key foci. Data collection primarily relies on empirical data， while real-world data constitute the primary source for clinical research， with efficacy and safety as the shared core. Data management emphasizes quality control and statistical analysis； however， the management of bias and confounding remains a critical bottleneck in evidence transformation. In practice， HUE-based approaches have successfully supported the registration and evaluation of multiple categories of new TCM drugs. ConclusionThe research on HUE of TCM has formed a policy-driven pattern characterized by， rapid development and close link with regulatory practice. A technical framework covering the whole chain of research and development has been constructed with clinical value as the core， which provides methodological basis and strategy reference for the scientific transformation of HUE of TCM from "experience" to "evidence".

Objective To analyze the influencing factors of malaria infection of labor service exported to overseas in Langfang City, in order to establish a visualization tool to assist clinicians in predicting the risk of malaria. Methods A total of 4 774 expatriate employees of the Nibei Pipeline Project of the Pipeline Bureau from October 2021 to August 2023 were taken as the subjects, and the gender, age, overseas residence area and Knowledge of malaria controlscores of the study subjects were investigated by questionnaire survey, and the possible risk factors of malaria were screened by logistic regression model. At the same time, the nomogram prediction model was established, and the subjects were divided into the training group and the validation group at a ratio of 2:1, and the area under the curve (ROC) and the decision curve were plotted to evaluate the prediction ability and practicability of the prediction model in this study. Results Among the 4 774 study subjects, 96 cases of malaria occurred, and the detection rate was 2.01%. Junior school （OR=1.723，95% CI:1.361-2.173）， and residence in rural areas（OR=2.091，95%CI:1.760 -3.100）were risk factors (OR>1), while protective measures（OR=0.826，95% CI : 0.781 - 0.901） and high malaria education scores （OR=0.872，95% CI : 0.621 - 0.899）were protective factors.The nomogram prediction model results showed that the area under the curve of the nomogram prediction model in the training group was 0.94 (95% CI : 0.85 - 1.00), while the validation group was 0.93 (95% CI : 0.80 - 1.00). The results of the decision curve showed that when the threshold probability of the population was 0-0.9, the nomogram model was used to predict the risk of malaria occurrence with the highest net income. Conclusion The nomogram prediction model (including gender, education, region, protection and malaria education score) established and validated in this study is of great value for clinicians to screen high-risk patients with malaria.

AIM: To investigate the correlation of the expression of stromal cell-derived factor-1(SDF-1)and angiopoietin like protein 4(ANGPTL4)in serum with the severity of disease in patients with diabetic macular edema(DME).METHODS: From April 2020 to August 2023, 193 patients with diabetic retinopathy who were admitted to our hospital were prospectively separated into DME group(128 cases)(56 cases in mild group, 44 cases in moderate group, 28 cases in severe group)and non DME group(65 cases)according to whether the patients had macular edema and the severity of disease. Enzyme-linked immunosorbent assay(ELISA)was applied to determine the levels of ANGPTL4 and SDF-1 in serum. Multivariate Logistic regression was applied to analyze the factors that affected the severity of DME; receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of ANGPTL4 and SDF-1 levels in serum of DME patients for the severity of DME.RESULTS: The levels of ANGPTL4 and SDF-1 in serum of the DME group were obviously higher than those of the non DME group(P<0.01); the expression levels of ANGPTL4 and SDF-1 in serum of the mild, moderate, and severe groups increased obviously in sequence(P<0.05); multivariate Logistic regression analysis showed that the levels of ANGPTL4 and SDF-1 in serum were risk factors affecting the severity of DME(P<0.01); The area under the curve(AUC)of serum SDF-1 in the diagnosis of DME severity was 0.772(95%CI: 0.690-0.842), and the AUC of ANGPTL4 in the diagnosis of DME severity was 0.801(95%CI: 0.722-0.867). The AUC of ANGPTL4 combined with SDF-1 in the diagnosis of DME was 0.884(95%CI: 0.816-0.934), the sensitivity was 87.50%, and the specificity was 85.71%, which were significantly higher than ANGPTL4 or SDF-1 alone(Z=2.658, 2.469, all P<0.05).CONCLUSION: The levels of ANGPTL4 and SDF-1 in serum of DME patients are significantly increased, and their levels increase with the severity of the disease. They can be used as auxiliary indicators for diagnosing the severity of DME disease, and the combined diagnosis has a better effect.

AIM: To investigate the correlation of the expression of stromal cell-derived factor-1(SDF-1)and angiopoietin like protein 4(ANGPTL4)in serum with the severity of disease in patients with diabetic macular edema(DME).METHODS: From April 2020 to August 2023, 193 patients with diabetic retinopathy who were admitted to our hospital were prospectively separated into DME group(128 cases)(56 cases in mild group, 44 cases in moderate group, 28 cases in severe group)and non DME group(65 cases)according to whether the patients had macular edema and the severity of disease. Enzyme-linked immunosorbent assay(ELISA)was applied to determine the levels of ANGPTL4 and SDF-1 in serum. Multivariate Logistic regression was applied to analyze the factors that affected the severity of DME; receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of ANGPTL4 and SDF-1 levels in serum of DME patients for the severity of DME.RESULTS: The levels of ANGPTL4 and SDF-1 in serum of the DME group were obviously higher than those of the non DME group(P<0.01); the expression levels of ANGPTL4 and SDF-1 in serum of the mild, moderate, and severe groups increased obviously in sequence(P<0.05); multivariate Logistic regression analysis showed that the levels of ANGPTL4 and SDF-1 in serum were risk factors affecting the severity of DME(P<0.01); The area under the curve(AUC)of serum SDF-1 in the diagnosis of DME severity was 0.772(95%CI: 0.690-0.842), and the AUC of ANGPTL4 in the diagnosis of DME severity was 0.801(95%CI: 0.722-0.867). The AUC of ANGPTL4 combined with SDF-1 in the diagnosis of DME was 0.884(95%CI: 0.816-0.934), the sensitivity was 87.50%, and the specificity was 85.71%, which were significantly higher than ANGPTL4 or SDF-1 alone(Z=2.658, 2.469, all P<0.05).CONCLUSION: The levels of ANGPTL4 and SDF-1 in serum of DME patients are significantly increased, and their levels increase with the severity of the disease. They can be used as auxiliary indicators for diagnosing the severity of DME disease, and the combined diagnosis has a better effect.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

ObjectiveObesity has been identified as one of the most important risk factors for cognitive dysfunction. Physical exercise can ameliorate learning and memory deficits by reversing synaptic plasticity in the hippocampus and cortex in diseases such as Alzheimer’s disease. In this study, we aimed to determine whether 8 weeks of treadmill exercise could alleviate hippocampus-dependent memory impairment in high-fat diet-induced obese mice and investigate the potential mechanisms involved. MethodsA total of sixty 6-week-old male C57BL/6 mice, weighing between 20-30 g, were randomly assigned to 3 distinct groups, each consisting of 20 mice. The groups were designated as follows: control (CON), high-fat diet (HFD), and high-fat diet with exercise (HFD-Ex). Prior to the initiation of the treadmill exercise protocol, the HFD and HFD-Ex groups were fed a high-fat diet (60% fat by kcal) for 20 weeks. The mice in the HFD-Ex group underwent treadmill exercise at a speed of 8 m/min for the first 10 min, followed by 12 m/min for the subsequent 50 min, totally 60 min of exercise at a 0° slope, 5 d per week, for 8 weeks. We employed Y-maze and novel object recognition tests to assess hippocampus-dependent memory and utilized immunofluorescence, Western blot, Golgi staining, and ELISA to analyze axon length, dendritic complexity, number of spines, the expression of c-fos, doublecortin (DCX), postsynaptic density-95 (PSD95), synaptophysin (Syn), interleukin-1β (IL-1β), and the number of major histocompatibility complex II (MHC-II) positive cells. ResultsMice with HFD-induced obesity exhibit hippocampus-dependent memory impairment, and treadmill exercise can prevent memory decline in these mice. The expression of DCX was significantly decreased in the HFD-induced obese mice compared to the control group (P<0.001). Treadmill exercise increased the expression of c-fos (P<0.001) and DCX (P=0.001) in the hippocampus of the HFD-induced obese mice. The axon length (P<0.001), dendritic complexity (P<0.001), the number of spines (P<0.001) and the expression of PSD95 (P<0.001) in the hippocampus were significantly decreased in the HFD-induced obese mice compared to the control group. Treadmill exercise increased the axon length (P=0.002), dendritic complexity(P<0.001), the number of spines (P<0.001) and the expression of PSD95 (P=0.001) of the hippocampus in the HFD-induced obese mice. Our study found a significant increase in MHC-II positive cells (P<0.001) and the concentration of IL-1β (P<0.001) in the hippocampus of HFD-induced obese mice compared to the control group. Treadmill exercise was found to reduce the number of MHC-II positive cells (P<0.001) and the concentration of IL-1β (P<0.001) in the hippocampus of obese mice induced by a HFD. ConclusionTreadmill exercise led to enhanced neurogenesis and neuroplasticity by increasing the axon length, dendritic complexity, dendritic spine numbers, and the expression of PSD95 and DCX, decreasing the number of MHC-II positive cells and neuroinflammation in HFD-induced obese mice. Therefore, we speculate that exercise may serve as a non-pharmacologic method that protects against HFD-induced hippocampus-dependent memory dysfunction by enhancing neuroplasticity and neurogenesis in the hippocampus of obese mice.

Paclitaxel， a highly effective natural antitumor drug， has been demonstrated to be efficacious in the treatment of a variety of cancers， including breast cancer， ovarian cancer， and lung cancer. The traditional paclitaxel injections have been observed to present certain issues， including overt adverse reactions and a decline in the quality of life of patients following treatment. This ultimately leads to an inability to meet the comprehensive needs of patients， thereby limiting the clinical applications of the drugs. Compared with injectable administration， the oral administration can avoid the risk of infection present in the invasive route， is conducive to improving patient compliance and quality of life， and reduces healthcare costs， and has a good application prospect. However， paclitaxel has low solubility， poor permeability， and is susceptible to the exocytosis of P-glycoprotein， which presents a significant challenge in the development of its oral preparations. Novel drug delivery technologies can enhance the solubility of paclitaxel and facilitate its controlled release， which is beneficial for the oral absorption and efficacy. The paper reviews the development history of oral preparations of paclitaxel， and summarizes the delivery technologies such as polymer micelles， nanoparticles， nanoemulsions and nanocrystals， and discusses the application mechanisms， advantages and limitations of these technologies and their adaptability in different cancer treatments. Finally， the challenges faced in the development of oral preparations of paclitaxel are summarized， and future research directions are proposed in order to provide new ideas for the development of oral delivery of paclitaxel.

Paclitaxel， a highly effective natural antitumor drug， has been demonstrated to be efficacious in the treatment of a variety of cancers， including breast cancer， ovarian cancer， and lung cancer. The traditional paclitaxel injections have been observed to present certain issues， including overt adverse reactions and a decline in the quality of life of patients following treatment. This ultimately leads to an inability to meet the comprehensive needs of patients， thereby limiting the clinical applications of the drugs. Compared with injectable administration， the oral administration can avoid the risk of infection present in the invasive route， is conducive to improving patient compliance and quality of life， and reduces healthcare costs， and has a good application prospect. However， paclitaxel has low solubility， poor permeability， and is susceptible to the exocytosis of P-glycoprotein， which presents a significant challenge in the development of its oral preparations. Novel drug delivery technologies can enhance the solubility of paclitaxel and facilitate its controlled release， which is beneficial for the oral absorption and efficacy. The paper reviews the development history of oral preparations of paclitaxel， and summarizes the delivery technologies such as polymer micelles， nanoparticles， nanoemulsions and nanocrystals， and discusses the application mechanisms， advantages and limitations of these technologies and their adaptability in different cancer treatments. Finally， the challenges faced in the development of oral preparations of paclitaxel are summarized， and future research directions are proposed in order to provide new ideas for the development of oral delivery of paclitaxel.

Objective: To analyze the effects of health literacy on overweight and obesity among primary school students and their parents in terms of salt, oil and sugar reduction (referred to as the "three reductions"), so as to provide a theoretical basis for the development of obesity control measures. Methods: From March to April 2024, a total of 1 022 fourthgrade primary school students and 913 parents were surveyed in 24 classes in six counties in Shandong Province using multistage cluster random sampling, and physical measurements of primary school students were conducted. Pearsons correlation analysis and ordered multivariate Logistic regression were used to investigate the associations between health literacy of primary school students and their parents with overweight and obesity among children. Results: The detection rates of overweight and obesity primary school students in Shandong Province were 14.87% and 24.66%, respectively, with significant sex difference in obesity rate (29.46% for boys and 19.76% for girls) (χ2=12.93, P<0.01). In addition to students reducing oil scores, parental reducing salt,reducing oil,reducing sugar, comprehensive health literacy scores and students reducing salt,reducing sugar and comprehensive health literacy scores showed a negative relationship with students overweight and obesity (r=-0.10, -0.08, -0.07, -0.10, -0.04, -0.07, -0.03, P<0.05). The overweight and obesity rates among primary school students with high parental reducing salt,reducing oil,reducing sugar and composite health literacy scores were lower (OR=0.69, 0.69, 0.71, 0.63, P<0.05); and the overweight and obesity rate among students with high parental and low parental and high and low parental health literacy scores were lower (OR=0.68, 0.57, P<0.05). Conclusion Improving health literacy regarding "three reductions" for parents and children, especially parents, can effectively reduce the risk of childhood overweight and obesity.