ObjectiveTo investigate the mechanism by which Notoginsenoside R1 （NGR1） ameliorates hypoxia/reoxygenation （H/R）-induced injury in AC16 human cardiomyocyte cell lines through the regulation of mitophagy. MethodsCommon genes linked to hypoxia/reoxygenation injury and mitophagy were identified by intersecting data from GeneCards and MitoCarta databases. AC16 cell viability was assessed via CCK-8 assay under varying NGR1 concentrations （0， 6.25， 12.5， 25， 50， 100， 200， 300， 400， 500 μmol/L）. AC16 cells were divided into the following groups： control group （Control）， model group （H/R）， and treatment groups （H/R + NGR1 at 100， 200 and 300 μmol/L）. Mitochondrial membrane potential （ΔΨm） was measured using 5，5'，6，6'-tetrachloro-1，1'，3，3'-tetraethylbenzimidazolylcarbocyanine iodide （JC-1） staining. Transcriptional levels of mitophagy-related genes （Parkin， Pink1， P62） were quantified by reverse transcription-quantitative PCR （RT-qPCR）. Protein expression of mitophagy-related markers （Parkin， Pink1， P62， and LC3BⅡ） was evaluated via Western blot analysis. Mitochondrial ultrastructure was visualized by transmission electron microscopy （TEM）. ResultsCompared to the control group， cell viability in the H/R group significantly decreased （P<0.01）. Treatment with NGR1 at concentrations above 100 μmol/L significantly enhanced the cell viability of AC16 cells compared to the H/R group （P<0.01）. H/R induced a significant decrease in mitochondrial membrane potential （P<0.01）， which was restored by NGR1 treatment （P<0.01）. The mRNA levels of Parkin， Pink1， and P62 in the H/R group were upregulated compared to the control group （P<0.05）， while NGR1 intervention downregulated their expression （P<0.05）. Protein expression levels of Parkin， Pink1， and LC3BⅡ in the H/R group significantly increased， while P62 expression decreased compared to the control group （P<0.01）. In contrast， different doses of NGR1 treatment significantly reduced the expression of Parkin， Pink1， and LC3BⅡ while increasing P62 expression （P<0.05）. TEM revealed that the mitochondrial structure in the H/R group was severely disrupted， with fragmented and disorganized cristae， which was alleviated by NGR1. ConclusionNGR1 ameliorates H/R-induced AC16 cell injury， and its mechanism may be associated with modulating the Pink1/Parkin pathway to suppress excessive mitophagy.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

ObjectiveTo develop and validate a nomogram for predicting the risk of concurrent cognitive impairment in older adults with heart disease. MethodsSelf-reported data from 2 673 respondents in the 2020 China Health and Retirement Longitudinal Study were analyzed. The participants were randomly divided into a training set (n = 1 871) and a validation set (n = 802). Heart disease status was determined using a self-report questionnaire. Logistic regression analysis was performed to identify predictors, and a nomogram for predicting the risk of concurrent cognitive impairment in older adults with heart disease was developed using R software. Bootstrap resampling was used for internal validation, and model performance was further evaluated in the randomly split validation set. The predictive performance of the model was assessed using the area under the receiver operating characteristic curve (AUC) and calibration curves.. ResultsA total of 2 673 older adults with heart disease were included, out of whom 315 participants in the training set had cognitive impairment. Lasso regression analysis identified age, education level, place of residence, instrumental activities of daily living and depression as predictors of concurrent cognitive impairment. A prediction model incorporating these five variables was constructed. The AUC were 0.827 (95%CI 0.804 to 0.850) in the training set and 0.847 (95%CI 0.812 to 0.882) in the validation set. The Hosmer-Lemeshow test yielded P = 0.154 and P = 0.716 in the training and validation sets, respectively. Calibration curves showed good agreement between predicted and observed probabilities. Decision curve analysis indicated that the model provided favorable net benefit and predictive performance. ConclusionThe nomogram may provide a useful reference for risk screening and early intervention for cognitive impairment in older adults with heart disease.

Objective: To analyze serum anti-Müllerian hormone (AMH) level and its influencing factors among female undergoing premarital and preconception examinations, so as to provide the evidence for optimizing reproductive health management measures. Methods: Female who received free premarital and preconception examinations and voluntarily underwent serum AMH testing at Women and Children's Health Center of Gongshu District, Hangzhou City from January 2022 to April 2025 were selected as study subjects. Demographic information and reproductive history were collected through questionnaire survey. Venous blood was collected to detect thyroid-stimulating hormone (TSH), alanine aminotransferase, hemoglobin (Hb), and AMH levels. The original AMH values did not follow a normal distribution, but followed a normal distribution after natural logarithm transformation, recorded as ln (AMH). Pearson correlation analysis was used to analyze the correlation between variables, and multiple linear regression model was used to analyze the influencing factors for ln (AMH) levels among female undergoing premarital and preconception examinations. Results: A total of 1 073 females undergoing premarital and preconception examinations were surveyed, with a mean age of (29.43±3.30) years. There were 959 females without pregnancy (89.38%) and 1 042 females without full-term live birth history (97.11%). The median AMH level was 3.85 (interquartile range, 3.63) ng/mL, and the mean ln (AMH) level was 1.27±0.75. The ln (AMH) levels were higher in females without pregnancy and without full-term live birth history (both P<0.05). The ln (AMH) level was negatively correlated with age (r=-0.260) and TSH (r=-0.093), and positively correlated with Hb (r=-0.260, -0.093, and 0.073, all P<0.05). Multiple linear regression analysis showed that age (β′=-0.253) and TSH (β′=-0.103) were statistically associated with ln (AMH) levels among female undergoing premarital and preconception examinations (both P<0.05). The associations of other variables with ln (AMH) levels were not statistically significant (all P>0.05). Conclusions Age and TSH level are influencing factors for AMH levels among female undergoing premarital and preconception examinations. AMH levels among female undergoing premarital and preconception examinations decrease with increasing age and increasing TSH level.

ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

Objective To investigate the relationship between different interleukins (ILs) and gynecological tumors, including cervical cancer, endometrial cancer, and uterine leiomyoma using two-sample Mendelian randomization (MR) analysis. Methods IL and gynecological tumor data were obtained from European populations by using the IEU OpenGWAS open database. Two-sample MR analysis was applied, different interleukins were used as exposure factors, significant SNP in GWAS data were selected as instrumental variables, and the instrumental variables were independent of each other. The risk of three kinds of gynecological tumors was analyzed separately to explore the causal relationship between ILs predicted by genes and outcome indicators. The TwoSampleMR package in R language (4.3.1) software was used for statistical analysis. MR analysis was performed using inverse variance weighted, MR Egger regression, weighted median, simple mode, and weighted mode methods. Results IL-18 receptor 1 (P=0.039) and IL-24 (P=0.025) were negatively correlated with the risk of cervical cancer. IL-4 (P=0.040), IL-21 (P=0.026), and IL-37 (P=0.027) were positively correlated with the risk of endometrial cancer. IL-15 receptor subunit alpha (P=0.005) was negatively correlated with the risk of endometrial cancer. IL-17A (P=0.005) and IL-37 (P=0.018) were negatively correlated with the risk of uterine leiomyoma. IL-21 (P=0.035) was positively correlated with the risk of uterine leiomyoma. Conclusion Genetically predicted IL-4, IL-15Rα, IL-17A, IL-18R1, IL-21, IL-24, and IL-37 are causally associated with the risk of three gynecological tumors. Further exploration of the molecular mechanism of ILs in gynecological tumors may provide potential therapeutic targets for the treatment of gynecological tumors.

The nucleotide binding oligomerization domain like receptor protein 3(NLRP3)inflamma-some is an intracellular polymeric protein complex that plays an important role in inflammation and immune response.In recent years,the study of NLRP3 inflammasome in hematological malignancies has become a hot topic.Leukemia is a large group of clonal hematologic malignancies that affect the maturation and/or prolifer-ation of bone marrow or lymphocytes.More and more studies have shown that NLRP3 inflammatory micro-molecules are involved in the occurrence and development of leukemia,and it is expected to become an impor-tant therapeutic target for leukemia in the future.In this review,the structure,biological function,activation pathway of NLRP3 inflammasome and its relationship with different types of leukemia were reviewed,and its potential application in the treatment of leukemia was discussed.

Objective To observe the clinical efficacy of Lingnan fire needling in the treatment of plaque psoriasis.Methods A total of 60 cases of patients with plaque psoriasis admitted to Bao'an Hospital of Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine from August 2021 to January 2023 were selected,and the patients were randomly divided into the observation group and the control group according to the random number table method,with 30 cases in each group.The observation group was given Lingnan fire needling for treatment,and the control group was given topical application of Calcipotriol Ointment.The course of treatment covered eight weeks continuously.After eight weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of Psoriasis Area and Severity Index(PASI)scores and Dermatology Life Quality Index(DLQI)scores,as well as the diameter of glomus under dermoscopy of the patients in the two groups were observed before the treatment and after 2,4,6,and 8 weeks of treatment.Changes in Generalized Anxiety Disorder Scale(GAD-7)scores before treatment and after 2,4,6,and 8 weeks of treatment were compared between the two groups.Results(1)After 2,4,6 and 8 weeks of treatment,the scores of PASI,DLQI and GAD-7 of patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(2)The cured and markedly rate of the observation group was 86.67%(26/30);and that of the control group was 66.67%(20/30).The efficacy of the observation group was superior to that of the control group,the difference being statistically significant(P<0.05).(3)After 2,4,6,and 8 weeks of treatment,the diameter of glomus under dermoscopy of the patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).Conclusion Lingnan fire needling therapy for plaque psoriasis can effectively improve the clinical symptoms of the patients,relieve the anxiety symptoms induced by skin lesions and itching,so as to improve their quality of life.

This article aims to summarize the clinical experiences of Professor Zhou Peng in treating post-thoracotomy pain syndrome(PTPS)by application of integrated acupuncture and moxibustion based on spirit-regulating and essence-consolidating therapy.In the view of Professor Zhou Peng,PTPS is prone to disturb the heart and spirit due to recurrent attacks,thus over consumption of the"spirit of the body";and various factors during and after the operation damage the"essence of the body",so the treatment is based on the principle of spirit-regulating and essence-consolidating,the disease can be treated from the perspective of heart,liver,spleen,and kidneys.Clinical use of multi-dimensional integration of acupuncture and moxibustion mode of external treatment,with local encircled acupuncture,plum-blossom needling to relieve the patient's urgent needs,and then use the spirit-regulating and essence-consolidating therapy,refined moxibustion,embedding needling for comprehensive treatment,treating symptom and root cause simultaneously,so as to exert certain therapeutic effect.

Objective Based on a complete Freund's adjuvant(CFA)-induced chronic inflammatory pain model,we compared and analyzed the differences in anti-inflammatory and analgesic effects of moxibustion intervention initiated at different timepoints,aiming to identify the optimal timing for moxibustion intervention.The goal is to establish standardized intervention protocols for basic research on the anti-inflammatory and analgesic effects of moxibustion.Methods Male C57BL/6 mice were randomly divided into 3 groups based on the moxibustion initiation timepoints of 4,7,and 10 d after modeling.Then,the mice in each group were randomly assigned to 3 subgroups,including a control group,a model group,and a moxibustion group,with 8 mice in each subgroup.Chronic inflammatory pain was induced by injecting 20 μL of CFA into the sole of the right hind paw.Moxibustion applied at the"Zusanli"acupoint for 30 minutes started on the 4th,7th,and 10th days after modeling,and the intervention continued for 7 days.The latency of paw withdrawal to thermal radiation was measured to evaluate the pain threshold before modeling,after modeling,and on the 1st,4th,and 7th days of treatment.Foot volume was measured to assess toe swelling before modeling,after modeling,and on the 1st and 7th days of treatment.Results Compared with the control group,the model group exhibited a reduced pain threshold(P＜0.0001)and increased paw volume(P＜0.0001).Compared with the model group,the subgroups receiving moxibustion intervention initiated on the 4th,7th,and 10th days post-modeling exhibited an increased pain threshold(P＜0.05,P＜0.0001).However,the paw volume of the subgroups receiving moxibustion intervention initiated on the 4th day post-modeling increased(P＜0.0001),while those of the subgroups receiving moxibustion intervention initiated on the 7th and 10th days post-modeling decreased(P＜0.0001).Among the intervention subgroups receiving moxibustion initiated on days 4,7,and 10,the day 7 intervention-initiating subgroup showed significant increase in pain threshold(P＜0.05,P＜0.0001),and the day 7 and day 10 intervention-initiating subgroups showed significantly reduced paw volume(P＜0.0001).Conclusion Considering both the analgesic and anti-inflammatory effects of moxibustion,day 7 post-modeling may be the optimal time for moxibustion to achieve effective anti-inflammatory and analgesic outcomes.