The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

Traditional Chinese medicine(TCM) capable of clearing heat and removing toxin is most commonly used in clinical practice and has the effect of removing fire-heat and toxin. Studies have shown that most of the Ilex plants have the effect of clearing heat and removing toxin, among which the varieties of I. cornuta, I. pubescens, I. rotunda, I. latifolia, and I. chinensis are most widely used. These plants generally contain triterpenoids and their glycosides, alkaloids, flavonoids, phenylpropanoids, and other chemical components, especially pentacyclic triterpenoids. According to their skeletons, pentacyclic triterpenoids can be divided into the oleanane type, the ursane type, the lupinane type, etc. Among them, ursane-type components are the most abundant, and 136 species have been found so far. These components have been proved to have pharmacological effects such as anti-inflammatory, anti-tumor, hypolipidemic, anti-thrombosis, cardiomyocyte-protective, antibacterial, and hepatoprotective effects. Therefore, this paper systematically reviews the domestic and foreign literature on Ilex plants with a focus on the research progress on pentacyclic triterpenoids and their pharmacological activities, aiming to provide reference for the development of TCM resources with the effect of clearing heat and removing toxin.
Ilex/chemistry* ; Plants, Medicinal/chemistry* ; Pentacyclic Triterpenes/pharmacology* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Animals

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

The plants of Rutaceae, with wide distribution in China, have a long history of medicinal use. They contain a wide variety of alkaloids, which include isoquinolines, quinolines, acridones, carbazoles, and indoles. Pharmacological studies have shown that most of these alkaloids have antitumor, anti-inflammatory, antiviral, antidiabetic and other activities. This article summarized 378 alkaloids isolated from plants of Rutaceae and their pharmacological effects, aiming to lay a basis for future drug development and sustainable utilization of plant resources.
Alkaloids/chemistry* ; Humans ; Rutaceae/chemistry* ; Animals ; Drugs, Chinese Herbal/chemistry* ; Anti-Inflammatory Agents/chemistry*

This study aimed to investigate halofuginone's inhibitory effect and mechanism on the activity of hepatocellular carcinoma cells. HepG2 cells were used to detect the effects of halofuginone. After treatment, cell activity, cell migration, cell cycle, and cell apoptosis were detected by CCK-8, transwell, and flow cytometry, respectively. The expression levels of growth and metabolism-related factors such as citrate synthase (CS), ketoglutarate dehydrogenase (OGDH), and isocitrate deoxygenase (IDH) were detected by real-time quantitative PCR and Western blot. Compared with the control group, the activity of HepG2 cells was significantly inhibited by halofuginone (P < 0.01), the migration rate of HepG2 cells was decreased (P < 0.01), the apoptosis of HepG2 cells was induced (P < 0.01), and the cell cycle was arrested in S phase (P < 0.01). The expression levels of tricarboxylic acid key enzymes CS, IDH3, and OGDH were up-regulated, the expression level of isocitrate dehydrogenase isoenzymes IDH1 and IDH2 were down-regulation. In conclusion, halofuginone can inhibit the proliferation and migration of HepG2 cells and promote apoptosis in a dose-dependent manner, which may be due to the promotion of the aerobic metabolism of cells.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To evaluate the application effect of broth microdilution(BMD)method in susceptibility testing of multidrug-resistant Mycobacterium tuberculosis(MDR-MTB).Methods The Roche's proportion method and BMD method were adopted in drug susceptibility testing on 108 MDR-MTB strains and 11 non-MDR-MTB strains in Hainan Province.Whole genome sequencing(WGS)was performed on strains with inconsistent results by the above two methods.Results The average time to acquire drug susceptibility testing results by Roche's propor-tional method and BMD method were 28.0 and 8.5 days,respectively.Roche's proportional method showed higher resistance rates to isoniazid(INH),rifampicin(RFP),ethambutol(EMB),kanamycin(KM),and capreomycin(CPM)than BMD method(all P＜0.001).BMD method showed higher resistance rates to protionamide(PTO)and para-aminosalicylic acid(PAS)than Roche's proportional method(both P＜0.001).Taking Roche's proportional method as the gold standard,the sensitivity and specificity of BMD method for testing drug resistance were 50.00％-100％and 95.69％-100％,respectively.Except EMB(87.39％)and INH(94.96％),the consistency rates of the BMD method in testing drug resistance of other drugs were all ≥95.00％.The overall consistency rate between Roche's proportional method and WGS was 76.19％(32/42),while the consistency rate between BMD method and WGS was 23.81％(10/42),difference was statistically significant(x2=23.048,P＜0.001).34 MTB strains showed inconsistent results by two drug susceptibility testing methods.Among the 26 MTB strains that were resis-tant in Roche's proportion method but sensitive in BMD method,22 strains(84.62％)had mutations in relevant re-sistance genes.Among the 11 MTB strains that were sensitive in Roche's proportion method but resistant in BMD method,5 strains(45.45％)had mutations in relevant resistance genes.Conclusion BMD method is an accurate and rapid MDR-MTB susceptibility testing method,but further improvement and optimization are still needed.Drug resistance is closely related to mutations in relevant resistance genes.

Pogostemon cablin is a famous southern medicine.As the important raw material for modern medicine and industry,Pogostemon cablin becomes required with a large marketing demand.However,due to the serious continuous cropping obstacles in the growth process of Pogostemon cablin,the aggravation of diseases of Pogostemon cablin and the degradation of its quality arose.This paper outlined the ecological factors such as climate factors,soil factors and topographic factors suitable for the growth of Pogostemon cablin,analyzed the continuous cropping obstacles and diseases arising in the cultivation,reviewed the current ecological planting mode of Pogostemon cablin such as crop rotation,intercropping,relay-cropping and under-forest planting,and also made a comprehensive evaluation of the economic benefits,ecological benefits and social benefits of the ecological planting mode of Pogostemon cablin,aiming to provide a theoretical basis and a reference for the promotion of the ecological planting mode of Pogostemon cablin.