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.

ObjectiveThis paper aims to investigate and evaluate the staged efficacy and safety of the representative empirical prescription of the “Zhu Ke Jiao” theory， Qijia Rougan prescription， combined with entecavir in the treatment of hepatic fibrosis in chronic hepatitis B. MethodsA multicenter randomized controlled clinical study was conducted， and 101 patients diagnosed with chronic hepatitis B-related hepatic fibrosis （CHB-HF） who met the diagnosis and inclusion criteria were randomly assigned to an observation group （Qijia Rougan prescription + entecavir） and a control group （entecavir）. The treatment duration was 24 weeks. Liver stiffness measurement （LSM）， fibrosis-4 index （FIB-4）， portal vein diameter， hepatitis B serology， biochemical indicators， hepatic fibrosis markers in serum ［hyaluronic acid （HA）， laminin （LN）， procollagen Ⅲ peptide （PⅢP）， and type Ⅳ collagen （Ⅳ-C）］， and traditional Chinese medicine syndrome scores were used as efficacy evaluation indicators. Efficacy assessments and explorations of different staged subgroups of Qijia Rougan prescription were conducted according to LSM values based on the Metavir pathological staging standard. ResultsA total of 98 cases were included for statistical analysis， with 49 cases in the observation group and 49 in the control group. The general data of the patients in both groups were comparable. Compared with the same group before treatment， the observation group showed a significant reduction in LSM and FIB-4 （P<0.01）， as well as notable improvements in LN， Ⅳ-C， and various TCM syndrome scores （P<0.05， P<0.01）. When compared to the control group after treatment， the observation group demonstrated significant improvements in LSM， FIB-4， and various TCM syndrome score indicators （P<0.05， P<0.01）， indicating that the observation group performed better than the control group. Subgroup analysis of the regression of hepatic fibrosis stages showed that compared to the same group before treatment， the observation group had better improvement in regression of stages F2 and F3 （P<0.05）. When compared to the control group after treatment， the observation group exhibited superior improvement in regression of stage F3 （P<0.05）. No adverse events occurred in either group during the treatment period. ConclusionCompared with entecavir alone， the combination of Qijia Rougan prescription and entecavir significantly improves the degree of hepatic fibrosis and clinical TCM symptoms in patients. The optimal intervention period is primarily during stage F3， which is a potential “interception” point of the “Zhu Ke Jiao” theory.

Animal model research on spleen and stomach diseases in traditional Chinese medicine （TCM） is of great significance for elucidating the nature of diseases and syndromes and for revealing the mechanisms of action of Chinese herbal medicinals. At present， studies on classical TCM syndrome models of spleen and stomach diseases mainly focus on spleen deficiency syndrome， liver constraint syndrome， and damp-heat syndrome. Model construction is mostly based on the etiological and pathophysiological characteristics of syndrome， and model evaluation primarily involves macroscopic manifestations and physicochemical indicators. This paper summarizes the current research status of animal models integrating disease and syndrome for seven common spleen and stomach diseases， including chronic gastritis and gastric precancerous lesions， gastroesophageal reflux disease， functional dyspepsia， inflammatory bowel disease， irritable bowel syndrome， functional constipation， and functional diarrhea. The modeling methods and characteristics of disease-syndrome combined animal models for each disease are analyzed. It is proposed that future research on disease-syndrome integration in spleen and stomach diseases should move toward syste-matic， precise， and integrative development， and that interdisciplinary and cross-disciplinary research approaches should be adopted to enhance the predictive value and application efficiency of disease-syndrome combined animal models.

To address the challenges of fragmented data, inconsistent standards, and delayed feedback in the full-cycle competency development process at teaching hospitals, this paper proposes the LEADS data governance system for Precision Medical Education (LEADS-PME), drawing on the practical experience of building the integrated medical education management platform at Zhongshan Hospital, Fudan University. The LEADS-PME framework comprises five interconnected core components: Longitudinal foundation, Evidence-chain generation, Analytics and profiling, Decision-support and prediction, and Simulation and digital-twin governance. Currently, Zhongshan Hospital has established a full-cycle educational data infrastructure and achieved multi-system data integration and competency-based profiling and evaluation, while the prediction and simulation modules are still in the prototype exploration phase. A mixed-methods evaluation will be subsequently conducted from the perspectives of data quality, management effectiveness, and predictive intervention. As a locally adapted framework, LEADS-PME can transform operational data derived from clinical practice, teaching, assessment, and management processes into traceable, interpretable, and reusable evidence of competency development. It is expected to facilitate the transformation of medical education management from a outcome-oriented approach to process monitoring, evidence-driven decision-making, and precision governance, thereby providing both a theoretical framework and practical reference for precision medical education in Chinese teaching hospitals.

Objective: To analyze the current status and influencing factors for latent tuberculosis infection (LTBI) among the elderly in Nanchuan District, Chongqing Municipality, so as to provide a reference for developing targeted prevention and control measures and reducing the risk of tuberculosis incidence. Methods: From June to December 2024, a multi-stage random cluster sampling method combined with probability proportional to population size sampling was used to select residents aged ≥65 years from four townships (streets) in Nanchuan District as study participants. Demographic information, disease history, and history of close contact with tuberculosis were collected through a questionnaire survey. Tuberculin skin test (TST) was used to detect Mycobacterium tuberculosis infection. LTBI was defined as a mean induration diameter of ≥10 mm on the TST, with active pulmonary tuberculosis excluded. Factors affecting LTBI among the elderly were identified using a multivariable logistic regression model. Results: A total of 3 699 participants were surveyed, including 1 707 males (46.15%) and 1 992 females (53.85%). The median age was 71.00 (interquartile range, 8.00) years. There were 285 participants (7.70%) with pulmonary disease, 18 (0.49%) with immune system disease, 47 (1.27%) with a history of tuberculosis, and 17 (0.46%) with a history of close contact with tuberculosis. LTBI was detected in 628 participants, with a detection rate of 16.98%. Multivariable logistic regression analysis showed that elderly participants with senior high school education or above (OR=2.292, 95%CI: 1.508-3.484), those with immune system disease (OR=3.226, 95%CI: 1.240-8.393), and those with a history of tuberculosis (OR=4.797, 95%CI: 2.436-9.447) were significantly associated with a higher risk of LTBI. Conclusions The detection rate of LTBI among the elderly in Nanchuan District was relatively low. Educational level, immune system disease, and history of tuberculosis were influencing factors for LTBI risk in this population. It is necessary to strengthen health education, screening, and preventive interventions.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

ObjectiveBy comparing the composition and content of volatile components in raw products， wine-washed products and wine-fried products of Ligusticum sinense cv. Chaxiong rhizome（LSCR）， to investigate the influence of wine processing on the volatile components of LSCR， in order to provide a basis for the development of quality standards for LSCR and its processed products. MethodsElectronic nose was used to identify the odors of LSCR， wine-washed and wine-fried LSCR， and their volatile components were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the relative mass fractions of these components were determined by peak area normalization method. Principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） were performed on the obtained sample data by SIMCA 14.1 software， and the differential components of LSCR， wine-washed and wine-fried LSCR were screened according to the variable importance in the projection（VIP） value>1. Pearson correlation analysis was used to explore the relationship between volatile differential flavor components and electronic nose sensors. ResultsElectronic nose detection results showed that there were significant differences in the odors of LSCR， wine-washed and wine-fried LSCR， mainly reflected in the sensors S2， S4， S5， S6， S11， S12， S13. And a total of 62 compounds were identified from LSCR and its wine-processed products， among which 46， 50 and 51 compounds were identified from LSCR， wine-fried and wine-washed LSCR， respectively. There were 21 differential components between the raw products and wine-fried products， of which 10 components were increased and 11 were decreased after processing. There were 20 differential components between the raw products and wine-washed products， of which 11 constituents increased and 9 decreased after processing. There were 17 differential components between the wine-wash products and wine-fried products. Compared with the wine-washed products， the contents of 13 components in the wine-fried products increased， and the contents of 4 components decreased. The increasing trend of the content of phthalides in the wine-washed products was more obvious than that in the wine-fried products， but the content of total volatile components was higher in the wine-fried products than the wine-washed products. Correlation analysis showed that there were different degrees of correlation between the 7 differential sensors of electronic nose and 24 differential volatile components， mainly phthalides and olefins. ConclusionThe odor and the content of volatile components in LSCR changed obviously after wine processing， and n-butylphthalide， Z-butylidenephthalide and E-ligustilide can be used as the candidate differential markers of volatile components in LSCR before and after wine processing.

Objective:To analyze the influence factors of urinary tract infection after transurethral bipolar plasma enucleation of the prostate (TUPEP) in patients with benign prostatic hyperplasia(BPH), and the early predictive value of serum inflammatory indicators for postoperative urinary tract infection.Methods:A total of 300 patients with BPH who received TUPEP treatment in the Department of Urology, Kailuan General Hospital from January 2021 to August 2023 were selected, according to whether they had urinary tract infections after the operation, they were divided into infection group ( n=117) and non-infection group ( n=183). The clinical data of the two groups were collected, and the serum inflammatory indexes of the two groups were recorded within 24 hours after the operation, including white blood cell count (WBC), neutrophil granulocyte (NE%), high-sensitivity C-reactive protein (hs-CRP), serum amyloid A (SAA), procalcitonin (PCT), heparin-binding protein (HBP), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), and serum ferritin (SF). The differences of clinical data and serum inflammatory indexes between the two groups were analyzed. The measurement data of normal distribution were expressed as mean ± standard deviation ( ± s), and independent sample t-test was used for inter-group comparisons. The measurement data of non- normal distribution were represented by median (interquartile range) [ M ( Q1, Q3)], and the Mann-Whitney U test was used for inter-group comparison. The count data were expressed as cases and percentage, and inter-group comparisons were conducted using the Chi-test. Multivariate Logistic regression analysis was used to explored the influencing factors of urinary tract infections in BPH patients after TUPEP surgery. The receiver operating characteristic (ROC) curve was plotted using GraphPad Prism 8.0.1 medical plotting softwar to evaluate the predictive value of serum inflammatory markers and combined detection of multiple markers for early postoperative urinary tract infections. Results:The duration of disease, history of diabetes, international prostate symptom score (IPSS), prostate volume, preoperative serum prostate-specific antigen (PSA) level, preoperative urine residual volume, operation time, intraoperative blood loss, postoperative catheter indwelling time, and hospitalization time in the infection group were higher than those in the non-infection group ( P<0.05). The preoperative 25-hydroxyvitamin D (25OHD) level and maximum urinary flow rate were lower in the infection group than those in the non- infection group ( P<0.05). Multivariate Logistic regression analysis showed that the course of the disease, history of diabetes, IPSS score, prostate volume, preoperative PSA level, preoperative urine residual volume, operation time, intraoperative blood loss, postoperative catheter indwelling time was positively correlated with urinary tract infection after TUPEP ( B=0.660, 0.242, 0.164, 0.125, 0.230, 0.066, 0.382, 0.022, 0.436, P<0.01), and preoperative 25OHD level and preoperative maximum urinary flow rate were negatively correlated with urinary tract infection after TUPEP ( B=-0.216, -0.372, P<0.01). The levels of hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF in the infection group were higher than those in the non-infection group ( P<0.001). The ROC curve analysis showed that the area under the curve (AUC) of hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF in early predicting urinary tract infection after TUPEP in BPH patients were 0.697, 0.775, 0.902, 0.873, 0.884, 0.904, 0.917, 0.823, 0.906, 0.852, 0.807, 0.787. The AUC of the combined detection of multiple serum inflammatory markers was 0.972, the sensitivity and specificity were 93.18% and 96.63%, and the sensitivity and specificity of the combined detection of multiple serum inflammatory markers were higher than those of separate detection. Conclusion:The course of BPH, whether to combine history of diabetes, preoperative IPSS score, prostate volume, preoperative PSA level, preoperative 25OHD level, preoperative maximum urinary flow rate, operation time, intraoperative blood loss, and postoperative catheter indwelling time are influencing factors of urinary tract infection after TUPEP, hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF had certain value in the early prediction of urinary tract infection after TUPEP in patients with BPH, the combination of multiple indicators can improve the predictive value of early urinary tract infection.

Objective To explore the effects and mechanisms of bone marrow mesenchymal stem cell(BMMSC)-derived exosomes(BMMSC-Exo)on hypoxia/reoxygenation(H/R)-induced injury in rat cardiomyocyte cell line(H9c2).Methods BMMSC-Exosomes were isolated by ultracentrifugation.The cells were divided into three groups:control,H/R,and H/R+BMMSC-Exo(H/R+Exo).A hypoxia/reoxygenation(H/R)injury model was es-tablished by exposing cells to 12 hours of hypoxia followed by 6 hours of reoxygenation.Flow cytometry was used to detect cell apoptosis,DHE staining was used to assess cellular ROS levels,JC-1 immunofluorescence staining was used to evaluate mitochondrial membrane potential,and Western blot was used to detect mitochondrial autophagy-re-lated proteins.Results BMMSC-Exo treatment significantly alleviated oxidative stress,restored mitochondrial mem-brane potential,reduced mitochondrial autophagy levels,and effectively decreased cardiomyocyte apoptosis.Conclu-sions Bone marrow mesenchymal stem cell-derived exosomes alleviate H/R-induced cardiomyocyte injury.

Alzheimer's disease (AD) is the commonest neurodegenerative disease that causes memory decline, cognitive dysfunction and behavior disorders in the aged people. Primary pathological hallmarks of AD include amyloid-β (Aβ), neurofibrillary tangles (NFTs), gliosis, and neuronal loss. Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels have important physiological functions, especially in aspects of controlling the resting membrane potential, pacemaker activity, memory formation, sleep and arousal. This article reviews the structure, distribution, regulation of HCN channels and the role of HCN channels in the pathological mechanisms of AD, aiming to provide drug therapeutic targets for the prevention and treatment of AD.
Humans ; Alzheimer Disease/physiopathology* ; Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels/physiology* ; Animals ; Amyloid beta-Peptides/metabolism*