ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

Objective To propose a lightweight end-to-end neural network model for automated Korotkoff sound phase recognition and subsequent blood pressure (BP) measurement, aiming to improve measurement accuracy and population adaptability. Methods We developed a streamlined architecture integrating depthwise separable convolution (DSConv), multi-head attention (MHA), and bidirectional gated recurrent unit (BiGRU). The model directly processes Korotkoff sound time-series signals to identify auscultatory phases. Systolic BP (SBP) and diastolic BP (DBP) were determined using phase Ⅰ and phaseⅤdetections, respectively. Given the clinical relevance of phase Ⅳ for specific populations (e.g., children and pregnant women, denoted as DBPⅣ), BP values from this phase were also recorded.Results The study enrolled 106 volunteers with 70 males and 36 females at mean age of (40.0±12.0) years. The model achieved 94.25% phase recognition accuracy. Measurement errors were (0.1±2.5) mm Hg (SBP), (0.9±3.4) mm Hg (DBPⅣ), and (0.8±2.6) mm Hg (DBP). Conclusion Our method enables precise phase recognition and BP measurement, demonstrating potential for developing population-adaptive blood pressure monitoring systems.

Objective To analyze the epidemiological characteristics of newly diagnosed occupational coal workers' pneumoconiosis (CWP) in Gansu Province. Methods All newly diagnosed cases of CWP reported online in Gansu Province from 2005 to 2024 were collected as study subjects through the "Occupational Diseases and Health Hazard Factors Monitoring Information System". A descriptive epidemiological method was used to analyze the epidemiological characteristics. A total of 886 newly diagnosed CWP cases were reported in Gansu Province during 2005-2024. Results Among them, cases initially diagnosed as stageⅠ, stage Ⅱ, and stage Ⅲ accounted for 68.8%, 20.0%, and 11.2%, respectively. The cases were predominantly male, accounting for 99.0%. Age groups of 50-<60 years and ≥60 years accounted for 47.0% and 42.9%, respectively. In terms of regional distribution, Lanzhou City, Pingliang City, and Baiyin City were the main affected areas, accounting for 36.0%, 19.1%, and 16.4%, respectively. Regarding industry distribution, the coal mining and washing industry accounted for 91.3% of the cases. Enterprises of large and small sizes accounted for 46.0% and 29.7%, respectively. In terms of enterprise economic types, state-owned enterprises and private enterprises accounted for 54.2% and 21.6%, respectively. The median duration of dust exposure among newly diagnosed CWP cases was 18 years. As of 2024, 102 cases had progressed to a more advanced stage; among the progressed cases, stageⅠ, stage Ⅱ, and stage Ⅲ cases accounted for 58.1%, 28.3%, and 13.6%, respectively. Conclusion Cases of CWP in Gansu Province are mainly distributed in large state-owned coal mines in cities such as Lanzhou, Pingliang, and Baiyin, predominantly affecting older males with longer dust exposure durations. Therefore, occupational health supervision and management in coal dust-related enterprises in the province should be further strengthened, and the occupational health examination procedures for workers exposed to dust should be standardized.

Liver cancer is one of the most common malignant tumors worldwide. Currently, the available treatment methods cannot fully control its recurrence and mortality rate. Establishing appropriate animal models for liver cancer is crucial for developing new treatment technologies and strategies. The patient-derived xenograft (PDX) model preserves the tumor's microenvironment and heterogeneity, which makes it advantageous for biological research, drug evaluation, personalized medicine, and other purposes. This article reviews the development, preparation techniques, application fields, and challenges of PDX models in liver cancer, providing insights for the research and exploration of PDX models in diagnostic and therapeutic strategies of liver cancer.
Liver Neoplasms/drug therapy* ; Animals ; Humans ; Xenograft Model Antitumor Assays/methods* ; Mice ; Disease Models, Animal

Astragali Radix (AR) and Notoginseng Radix et Rhizoma (NR) are frequently employed in cardiovascular disease treatment. However, the efficacy of the AR-NR medicine pair (AN) in improving cardiac remodeling and its underlying mechanism remains unclear. This study aimed to evaluate AN's cardioprotective effect and potential mechanism on cardiac remodeling using transverse aortic constriction (TAC) in mice and angiotensin II (Ang II)-induced neonatal rat cardiomyocytes (NRCMs) and fibroblasts in vitro. High-performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry (HPLC-Q-TOF-MS/MS) characterized 23 main components of AN. AN significantly improved cardiac function in the TAC-induced mice. Furthermore, AN considerably reduced the serum levels of N-terminal pro-B-type natriuretic peptide (NT-proBNP), cardiac troponin T (CTn-T), and interleukin-6 (IL-6) and mitigated inflammatory cell infiltration. Post-AN treatment, TAC-induced heart size approached normal. AN decreased cardiomyocyte cross-sectional area and attenuated the upregulation of cardiac hypertrophy marker genes (ANP, BNP, and MYH7) in vivo and in vitro. Concurrently, AN alleviated collagen deposition in TAC-induced mice. AN also reduced the expression of fibrosis-related indicators (COL1A1 and COL3A1) and inhibited the activation of the transforming growth factor-β1 (TGF-β1)/mothers against decapentaplegic homolog 3 (Smad3) pathway. Thus, AN improved TAC-induced cardiac remodeling. Moreover, AN downregulated p-dynamin-related protein (Drp1) (Ser616) expression and upregulated mitogen 2 (MFN-2) and optic atrophy 1 (OPA1) expression in vivo and in vitro, thereby restoring mitochondrial fusion and fission balance. In conclusion, AN improves cardiac remodeling by regulating mitochondrial dynamic balance, providing experimental data for the rational application of Chinese medicine prescriptions with AN as the main component in clinical practice.
Animals ; Drugs, Chinese Herbal/pharmacology* ; Myocytes, Cardiac/metabolism* ; Mice ; Rats ; Male ; Mitochondrial Dynamics/drug effects* ; Ventricular Remodeling/drug effects* ; Astragalus Plant/chemistry* ; Mice, Inbred C57BL ; Rhizome/chemistry* ; Panax notoginseng/chemistry* ; Rats, Sprague-Dawley ; Natriuretic Peptide, Brain/genetics* ; Humans ; Angiotensin II ; Astragalus propinquus

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease with high global prevalence and long course, which affects more than 30% of the population and seriously endangers human health. Lipid metabolism plays an important role in the occurrence and development of MASLD. An increasing number of studies have shown that active ingredients in traditional Chinese medicine can regulate lipid metabolism to improve MASLD. Due to the obvious advantages of multi-target regulation and fewer side effects, the active ingredients have shown great potential and value for application. However, the pathological mechanism of MASLD is intricate and the active ingredients of traditional Chinese medicine can improve MASLD from multiple aspects, there is currently a lack of systematic discussion on lipid metabolism. Therefore, this review focuses on lipid metabolism and reviews the latest research progress of active ingredients from traditional Chinese medicine in ameliorating MASLD from the aspects of lipid uptake, lipid synthesis, lipid oxidation, lipid secretion, etc., in order to provide more theoretical references for active ingredients of traditional Chinese medicine in regulating lipid metabolism to improve MASLD.

Objective:To investigate the anti-fatigue effect of Dendrobium and Panax Quinquefolius Granules(DPQG)on the overtrained mice,and to clarify its possible mechanism.Methods:A total of 48 mice were randomly divided into control group(equal volume of distilled water),low dose of DPQG group(400 mg·kg-1 DPQG),medium dose of DPQG group(800 mg·kg-1 DPQG),and high dose of DPQG group(1 600 mg·kg-1 DPQG).The DPQG were administered by gavage for 35 d,and the rotarod test and swimming endurance test were performed 30 min after last administration.Serum,liver tissue,and muscle tissue were collected from the mice in various groups.ELISA method was used to detect the serum lacticacid(LAC)levels and lactate dehydrogenase(LDH)activities,and the malondialdehyde(MDA)levels,superoxide dismutase(SOD)and glutathione peroxidase(GSH-Px)activities,and the liver glycogen and muscle glycogen levels in muscle tissue of the mice in various groups;HE staining was used to observe the pathomorphology of muscle tissue of the mice.Transcriptomics and metabolomics technologies were used to identify the key genes and metabolites in muscle tissue of the mice in control group and high dose of DPQG group and to analyze the correlations between differentially expressed genes(DEGs)and differentially expressed metabolites.Results:Compared with control group,the rod turning exhaustion time of the mice in different doses of DPQG groups were significantly increased(P＜0.05),and the swimming exhaution time of the mice in high dose of DPQG group was increased(P＜0.05).Compared with control group,the LDH,SOD,and GSH-Px activities of the mice in medium and high doses of DPQG groups were increased(P＜0.01).Compared with control group,the levels of MDA and liver glycogen of the mice in medium and high doses of DPQG groups were decreased(P＜0.05 or P＜0.01).The transcriptomics sequencing results showed that DPQG mainly acted on DEGs such as Trib3 and Olfr495;the Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis results showed that the DEGs were mainly enriched in olfactory-related processes and signaling pathways;the metabolomics KEGG analysis results showed that the differential metabolites were mainly enriched in the regulation pathway of inflammatory mediators on tryptophan(TRP);the combined analysis of transcriptomics and metabolomics results showed that the piezo1 gene had high correlations with the differential metabolites β1-solamarine(r=-1,P＜0.05)and tilidine(r=1,P＜0.05).Conclusion:DPQG can exert an anti-fatigue effect on the overtrained mice by modulating LAC metabolism and glycogen homeostasis,as well as maintaining the oxidative/antioxidant balance in the body;its anti-fatigue mechanism is related to the Olfr495 and piezo1 genes and the regulation pathway of inflammatory mediators on TRP channels.