Five saponins were isolated from the kernels of Momordica cochinchinensis, by macroporous resin, silica gel, ODS column chromatography, and semi preparative HPLC. Based on MS and NMR analysis, combining with alkaline hydrolysis and acid hydrolysis, their structures were identified as: gypsogenin-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (1), quillaic acid-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (2), gypsogenin-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (3), quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (4), 18α-quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside (5). Compounds 1-5 were new compounds, and named as mubezhisides A, B, C, D, E, respectively. They all could obviously inhibited the growth of Candida albicans, C. parapsilosis, and C. tropicalis.

ObjectiveTo investigate the molecular mechanisms of Mahuang Fuzi Gancao Tang and its pungent single herbs， Ephedrae Herba and Aconiti Lateralis Radix Praeparaia， in repairing podocyte injury based on the sweat pore theory， with a focus on the podocyte cytoskeletal transient receptor potential canonical 5 （TRPC5）-Ras-related C3 botulinum toxin substrate 1 （RAC1） feedforward loop. MethodsAn animal model with puromycin aminonucleoside （PAN）-induced overexpression of TRPC5 was established. Interventions included Mahuang Fuzi Gancao Tang， Ephedrae Herba alone， and Aconiti Lateralis Radix Praeparaia alone. Biochemical parameters ， histopathological changes， and podocyte ultrastructure were analyzed. Western blotting was performed to determine the expression of cytoskeletal protein synaptopodin and mechanism-related proteins TRPC5， RAC1-GTP， and RAC1 in the kidney. Primary podocytes were isolated and cultured for three-dimensional imaging of foot processes， cytoskeletal fluorescence analysis， and TRPC5-RAC1 co-staining via immunofluorescence. ResultsCompared with the model group， Mahuang Fuzi Gancao Tang， Ephedrae Herba alone， and Aconiti Lateralis Radix Praeparaia alone increased serum albumin （ALB）， decreased UPCR， reduced podocyte foot process fusion rate， upregulated synaptopodin expression， and downregulated TRPC5， RAC1-GTP， and RAC1 expression （P<0.05）. Moreover， the interventions increased the phalloidin fluorescence area/field area ratio （P<0.01） and mean fluorescence intensity （P<0.05）， while decreasing the proportion of TRPC5-RAC1 co-stained double-positive cells/total cells per field （P<0.01） in primary podocytes. ConclusionMahuang Fuzi Gancao Tang and its pungent single herbs， Ephedrae Herba and Aconiti Lateralis Radix Praeparaia， ameliorated podocyte injury in the model with PAN-induced TRPC5 overexpression by reducing proteinuria and suppressing the TRPC5-RAC1 feedforward loop-mediated podocyte cytoskeletal damage.

ObjectiveTo investigate the molecular mechanisms of Mahuang Fuzi Gancao Tang and its pungent single herbs， Ephedrae Herba and Aconiti Lateralis Radix Praeparaia， in repairing podocyte injury based on the sweat pore theory， with a focus on the podocyte cytoskeletal transient receptor potential canonical 5 （TRPC5）-Ras-related C3 botulinum toxin substrate 1 （RAC1） feedforward loop. MethodsAn animal model with puromycin aminonucleoside （PAN）-induced overexpression of TRPC5 was established. Interventions included Mahuang Fuzi Gancao Tang， Ephedrae Herba alone， and Aconiti Lateralis Radix Praeparaia alone. Biochemical parameters ， histopathological changes， and podocyte ultrastructure were analyzed. Western blotting was performed to determine the expression of cytoskeletal protein synaptopodin and mechanism-related proteins TRPC5， RAC1-GTP， and RAC1 in the kidney. Primary podocytes were isolated and cultured for three-dimensional imaging of foot processes， cytoskeletal fluorescence analysis， and TRPC5-RAC1 co-staining via immunofluorescence. ResultsCompared with the model group， Mahuang Fuzi Gancao Tang， Ephedrae Herba alone， and Aconiti Lateralis Radix Praeparaia alone increased serum albumin （ALB）， decreased UPCR， reduced podocyte foot process fusion rate， upregulated synaptopodin expression， and downregulated TRPC5， RAC1-GTP， and RAC1 expression （P<0.05）. Moreover， the interventions increased the phalloidin fluorescence area/field area ratio （P<0.01） and mean fluorescence intensity （P<0.05）， while decreasing the proportion of TRPC5-RAC1 co-stained double-positive cells/total cells per field （P<0.01） in primary podocytes. ConclusionMahuang Fuzi Gancao Tang and its pungent single herbs， Ephedrae Herba and Aconiti Lateralis Radix Praeparaia， ameliorated podocyte injury in the model with PAN-induced TRPC5 overexpression by reducing proteinuria and suppressing the TRPC5-RAC1 feedforward loop-mediated podocyte cytoskeletal damage.

To explore the mechanism of spleen- were obtained for the treatment of acute-on-chronic livstrengthening and moisture-nourishing liver prescription er failure, and 244 intersecting target genes and 7 core (JPLSYGF) in the treatment of acute-on-chronic liver target genes were screened. Molecular docking showed failure using network pharmacology and the molecular that the core target genes AKT1, SRC, VEGFA, docking. Methods Relying on TCMSP and Gene- STAT3 , EGFR, MAPK3 , HRAS had good affinity with Cards and other databases, the relevant targets of JPL- quercetin, the main active component in the JPLSYGF in the treatment of acute-on-chronic liver failure SYGF, and had strong binding activity. In addition, in were obtained. String and Cytoscape were used to con- vivo tests verified that the JPLSYGF could reduce the struct PPI networks of targets, core targets were expression of HRAS, EGFR, STAT3 , SRC, and VEGscreened out, and DAVID was used for GO function FA, to delay the progression of acute-on-chronic liver annotation and KEGG pathway enrichment analysis. failure. Conclusions JPLSYGF may act on core tar- The main active ingredients of the traditional Chinese gets such as HRAS, EGFR, STAT3, SRC, VEGFA medicine compound formula for JPLSYGF were select- and so on, to achieve the effect of treating acute-oned with a bioavailability OB value of =Э 30% and a chronic liver failure. drug-like DL^O. 18 as the screening conditions, and.

Objective:To analyse the composition of Astragali Radix and its honey-processed products through a combination of UPLC-Q-TOF/MS and molecular network; To compare the changes in the main components of Astragali Radix before and after honey-frying.Methods:The aqueous extracts of Astragali Radix before and after honey-frying were prepared, and the compositions were detected by UPLC-Q-TOF/MS, analyzed and identified by the Global Natural Products Molecular Network Analysis Platform (GNPS). The generated molecular networks were visualized and analyzed using Cytoscape 3.9.1 software. The compounds were identified by Masslynx 4.2 software based on the secondary fragmentation information of the compounds, and the changes in the content of the components before and after the processing of Astragali Radix were analysed.Results:47 flavonoids and 34 triterpenoid saponins were presumably identified from Astragali Radix and its honey-frying products using the above analytical methods, with about 87% of the flavonoids and about 82% of the saponins decreasing in content after honey-frying.Conclusions:The compositional changes of Astragali Radix before and after honey-frying are rapidly resolved and visualised by liquid-quantity coupling combined with molecular network. It is found that some of the flavonoids and saponins components of Astragali Radix underwent hydrolysis after honey-frying and it may be the material change basis for processing efficiency enhancement.

Objective To understand the respiratory protection competency of staff in hospitals.Methods Staff from six hospitals of different levels and characteristics in Beijing were selected,including doctors,nurses,medical technicians,and servicers,to conduct knowledge assessment on respiratory protection competency.According to exposure risks of respiratory infectious diseases,based on actual cases and daily work scenarios,content of respira-tory protection competency assessment was designed from three aspects:identification of respiratory infectious di-seases,transmission routes and corresponding protection requirements,as well as correct selection and use of masks.The assessment included 6,6,and 8 knowledge points respectively,with 20 knowledge points in total,all of which were choice questions.For multiple-choice questions,full marks,partial marks,and no mark were given respective-ly if all options were correct,partial options were correct and without incorrect options,and partial options were correct but with incorrect options.Difficulty and discrimination analyses on question of each knowledge point was conducted based on classical test theory.Results The respiratory protection competency knowledge assessment for 326 staff members at different risk levels in 6 hospitals showed that concerning the 20 knowledge points,more than 60％participants got full marks for 6 points,while the proportion of full marks for other questions was relatively low.Less than 10％participants got full marks for the following 5 knowledge points:types of airborne diseases,types of droplet-borne diseases,conventional measures for the prevention and control of healthcare-associated infec-tion with respiratory infectious diseases,indications for wearing respirators,and indications for wearing medical protective masks.Among the 20 knowledge questions,5,1,and 14 questions were relatively easy,medium,and difficult,respectively;6,1,4,and 9 questions were with discrimination levels of ≥0.4,0.30-0.39,0.20-0.29,and ≤0.19,respectively.Conclusion There is still much room for hospital staff to improve their respiratory protection competency,especially in the recognition of diseases with different transmission routes and the indications for wearing different types of masks.

ObjectiveTo investigate the effect and mechanism of ginsenoside Rg₁ （G-Rg₁） combined with hirudin in treating myocardial fibrosis in the mouse model of acute myocardial infarction （AMI）. MethodSeventy-five C57BL/6N mice were randomized into sham， model， G-Rg₁ （20 mg·kg^-1）， hirudin （20 mg·kg^-1）， and G-Rg₁ （20 mg·kg^-1） + hirudin （20 mg·kg^-1） groups. The mouse model of AMI was established by ligation of the anterior descending branch of the left coronary artery and continued gavage for 4 weeks. The success of the modeling was judged by ECG changes of mice before and after ligation. The heart weight index， echocardiography， myocardial fibrosis， type Ⅰ collagen α1（COL1A1）， platelet-endothelial cell adhesion molecule-1 （PECAM-1/CD31）， α-smooth muscle actin （α-SMA）， intercellular adhesion molecule-1 （ICAM-1）， and vascular cell adhesion molecule-1 （VCAM-1） were measured before and after treatment. ResultAfter ligation of the anterior descending branch of the left coronary artery， the R wave and T wave merged into a tall tented wave， and the ST segment presented a "damaged" change， indicating that the model was successfully prepared. Compared with the sham group， the model group showed dull and dry hair， slow movement， increased heart weight index （P<0.01）， decreased left ventricular ejection fraction （EF） and left ventricular shortening fraction （FS） （P<0.01）， increased left ventricular end-diastolic diameter （LVEDd） and left ventricular end-systolic diameter （LVESd） （P<0.01）， disarranged myocardial fibers， collagen fiber hyperplasia （P<0.01）， increased expression of COL1A1 （P<0.01）， upregulated protein levels of ICAM-1 and VCAM-1 （P<0.01）， downregulated CD31 expression， and upregulated α-SMA expression （P<0.01）. Compared with the model group， the treatment groups recovered the above indexes in different degrees （P<0.05， P<0.01）， and the combined group had better effect （P<0.05）. ConclusionG-Rg₁ combined with hirudin can ameliorate myocardial fibrosis after AMI by inhibiting the expression of adhesion molecular protein in the heart tissue， reducing the adhesion of inflammatory cells， alleviating cardiac inflammation， and inhibiting cardiac endothelial-to-mesenchymal transition.

Near-infrared(NIR)spectroscopy reflects the vibrational information of hydrogen-containing groups,allowing the detection of changes in components such as proteins and lipids in biological samples caused by diseases.Due to the advantages such as rapidity,non-destructiveness and non-invasiveness,NIR spectroscopy has been widely used in disease diagnosis.Malignant tumor cells exhibit significant differences in structure and composition compared to normal cells,and abnormal metabolic functions cause changes in the composition of biological tissues and fluids,leading to the variation in spectra.This makes NIR spectroscopy a promising tool for detecting cancer.However,severe overlapping of spectral peaks in the spectra requires the help of chemometrics methods to analyze the spectra and extract diagnostic information.This review summarizes the recent advances in NIR spectroscopy technology in cancer detection,including the methods of spectral preprocessing,diagnosis modeling and the development in NIR hyperspectral imaging combined with deep learning methods.The quantitative information and structural changes of molecules in biological systems can be extracted.Furthermore,the sensitivity of NIR spectra to water is utilized to analyze the content and structural changes of water induced by cancer and its role in cancer detection.

Objective To estimate adolescents and children age using stepwise regression and machine learning methods based on the pulp and tooth volumes of the left maxillary central incisor and cuspid on cone beam computed tomography(CBCT)images,and to compare and analyze the estimation re-sults.Methods A total of 498 Shanghai Han adolescents and children CBCT images of the oral and maxillofacial regions were collected.The pulp and tooth volumes of the left maxillary central incisor and cuspid were measured and calculated.Three machine learning algorithms(K-nearest neighbor,ridge regression,and decision tree)and stepwise regression were used to establish four age estimation models.The coefficient of determination,mean error,root mean square error,mean square error and mean ab-solute error were computed and compared.A correlation heatmap was drawn to visualize and the monotonic relationship between parameters was visually analyzed.Results The K-nearest neighbor model(R2=0.779)and the ridge regression model(R2=0.729)outperformed stepwise regression(R2=0.617),while the decision tree model(R2=0.494)showed poor fitting.The correlation heatmap demon-strated a monotonically negative correlation between age and the parameters including pulp volume,the ratio of pulp volume to hard tissue volume,and the ratio of pulp volume to tooth volume.Con-clusion Pulp volume and pulp volume proportion are closely related to age.The application of CBCT-based machine learning methods can provide more accurate age estimation results,which lays a founda-tion for further CBCT-based deep learning dental age estimation research.

Objective To analyze the correlation between the comorbidity of chronic diseases and concurrent traditional Chinese medicine(TCM)constitutions in the elderly in Guangzhou.Methods From the physical examination data of 3 communities in Guangzhou,3 078 elderly people were selected as the survey objects,and association analysis was performed for mining the association rules between the chronic disease comorbidity and concurrent TCM constitution types of the elderly with different demographic characteristics.Results The comorbidity rate of chronic diseases in the elderly of Guangzhou area was 76.54％(2 356/3 078).In the elderly population of Guangzhou area,the correlation of chronic disease comorbidity with the concurrent constitution of tendentious blood stasis constitution and phlegm-damp constitution had the highest confidence,which was 95.87％.The correlation of chronic disease comorbidity with the gender showed that the concurrent constitution was similar in the elderly with different genders.The correlation of chronic disease comorbidity with the concurrent constitution of phlegm-damp constitution and tendentious yin deficiency constitution in the male elderly had the confidence of 94.38％,and the correlation of chronic disease comorbidity with the concurrent constitution of phlegm-damp constitution and tendentious blood stasis constitution in the female elderly had the confidence of 97.46％.With the increase of the age,the biased constitution of the elderly with chronic diseases gradually developed into the concurrent constitution of phlegm blended with blood stasis,and the concurrent constitution of qi deficiency constitution and yang deficiency constitution became the predominated.Conclusion The comorbidity rate of chronic diseases in the elderly is high.The association patterns of the comorbidity of chronic diseases with concurrent constitution types vary in different age groups.Medical institutions can condition the concurrent constitution with Chinese medicine therapy according to the characteristics of the concurrent constitutions of the elderly,and then can improve the comorbidity of chronic diseases in the elderly.