AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

Facing of mounting resource constraints and rising demands for personalization in medical education,regional anatomy teaching urgently requires transformation.In this paper,we focus on the regional anatomy of the thoracic wall,in order to explore a novel AI-driven teaching paradigm.Anchored in the core principle of"virtual-real integration with cadaveric dissection as the cornerstone,"the paradigm redefines educational objective and constructs an intelligent,closed-loop teaching model integrating students,computers,and instructors.Leveraging the robust support of digital intelligence(e.g.,DeepSeek),this paradigm incorporates interactive method including group collaboration,branching instruction,and gamified assessments.It achieves a comprehensive intelligent transformation of the entire teaching process-from goal setting and plan customization to activity implementation,task completion,outcome exchange,multidimensional evaluation,and reflective iteration.This new paradigm centers on medical students and leverages digital intelligence to activate deep personalized learning potential.It seamlessly integrates fundamental anatomical knowledge with clinical scenarios(e.g.,key anatomy in breast cancer surgery,flap design in breast reconstruction),and significantly enhances clinical decision-making abilities,scientific research and innovative thinking,as well as medical humanistic literacy,paving a new path for intelligent medical education.

Objective To explore the integration value of mobile virtual reality devices in the classroom teaching of human anatomy,and to evaluate their potential impact on the in-depth construction of human anatomy knowledge,the cultivation of spatial cognitive ability,and the transformation of teaching paradigms from the perspectives of cognitive load theory and situated learning.Methods The undergraduate students majoring in clinical medicine in Peking University were selected as the research objects.Among them,students in grade 2019 were the control group,and students in grade 2022 were the experimental group,introducing movable virtual anatomy equipment and other teaching auxiliary method in theory and practice courses.The final exam scores of the two groups of students were compared,and a questionnaire survey was conducted for the experimental group after the course,and the survey result were statistically analyzed.Results The final examination result showed that the average score of the experimental group was 82.47±10.19,and the average score of the control group was 74.82±16.56,which was significantly higher in the experimental group than in the control group,with statistical significance(P＜0.05).The questionnaire survey result showed that compared with traditional classroom teaching,94.62％of students preferred the new auxiliary teaching mode such as VR,96.77％of students believed that VR assisted teaching could achieve the traditional teaching effect or better,95.7％of them think that it improved students' interest in learning human anatomy,and 98.92％thought that it improved students' knowledge of anatomy.Conclusion The application of mobile virtual reality devices in anatomy classroom teaching provides immersive and interactive 3D visualization teaching scenarios,effectively reducing students' cognitive load on abstract and complex anatomical structures,promoting spatial understanding and knowledge internalization,significantly improving teaching effectiveness and self-learning ability,thus changing the traditional anatomy teaching mode and laying a solid foundation for the development of future medical education and the cultivation of medical talents.

AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

Objective To investigate the Gram-positive coccus resistance in nationwide's tertiary hospitals and understand the trend of antimicrobial resistance.Methods All the clinical isolates were collected from 19 hospitals and the minimal inhibitory concentrations(MICs)were tested using agar/broth dilution method recommended.Results A total of 1 974 pathogenic Gram-positive coccus from 19 tertiary hospitals in 19 cities nationwide over the period from July 2021 to June 2022 were studied.Based on the MIC results,the prevalence of methicillin resistant Stapylococcus aureus(MRSA)and methicillin resistant Stapylococcus epidermidis(MRSE)were 36.4％and 79.9％respectively.No vancomycin insensitivity Staphylococcus was detected.Staphylococcus aureus were 100％susceptibility to linezolid and teicoplanin.Antibiotic resistance rate of Enterococcus faecalis and Enterococcus faecium to ampicillin were 3.1％and 92.9％.The detectation rate of vancomycin resistant Enterococcus(VRE)was 1.6％.Nonsusceptibility rate of Enterococcus faecalis to linezolid was 32.2％,two consecutive monitoring rises and nonsusceptibility rate of Enterococcus faecium(12.5％)was also significantly increased.The prevalence of penicillin non-susceptible Streptococcus pneumoniae(PNSSP)was 0.8％based on non-meningitis and parenteral administration criterion,decrease of nearly 30 percentage points from the previous surveillance.While for cases of oral penicillin,the rate was 71.8％,showing similar to last time.The results indicated that the number of strains with higher MIC value of penicillin(MIC ≥4 mg·L-1)decreased significantly.There were no significant differences of resistance rates of Stapylococcus aureus,Stapylococcus epidermidis,Enterococcus faecalis,Enterococcus faecium and Streptococcus pneumoniae among various groups such as different department,age,or specimen source.Conclusion VRE detection ratio stablized at a relatively low level.The number of Streptococcus pneumoniae with higher MIC value of penicillin decreased significantly compared with the previous monitoring.The increase of linezolidin-insensitive Enterococcus was noteworthy.

Objective To investigate the Gram-negative bacteria resistance in nationwide's tertiary hospitals and understand the trend of antimicrobial resistance.Method All the clinical isolates were collected from 19 hospitals and the minimal inhibitory concentrations(MICs)were tested using agar/broth dilution method recommended.Results A total of 4 066 pathogenic isolates from 19 tertiary hospitals in 19 cities nationwide over the period from July 2021 to June 2022 were studied.Based on the MIC results,Escherichia coli and Klebsiella pneumoniae showed extended spectrum β-lactamase(ESBLs)phenotype rates of 55.0％and 21.0％,respectively,ESBLs phenotype rate of Klebsiella pneumoniae keep going down.The ratios of carbapenems resistance Klebsiella pneumoniae increased by 5 percentage points compared with the previous monitoring.Carbapenems,moxalactam,sitafloxacin,β-lactam combination agents,fosfomycin trometamol,and amikacin displayed desirable antibacterial activity against Enterbacterales,susceptibal rates were above 75％.In addition,tigacycline,omacycline,colistin and fluoxefin maintained good antibacterial activity against their respective effective bacteria/species,and the bacterial sensitivity rates by more than 80％.Resistance rates of Pseudomonas aeruginosa and Acinetobacter baumannnii to imipenem were 26.3％and 72.1％and multidrug-resistant(MDR)detection rates were 41.1％and 77.3％,extensively drug-resistant(XDR)were 12.0％and 71.8％,respectively.Comparison of drug resistance rates from different wards,ages and specimen sources indicated that the proportion of resistance in Klebsiella pneumoniae and Acinetobacter baumannii isolated from intensive care unit(ICU)were significantly higher than non-ICU.Carbapenem resistance rates of Klebsiella pneumoniae isolated from ICU were more than 35％.Resistance rates of Haemophilus influenzae isolated in children to β-lactam,macrolide,clindamycin and ESBLs detection rate in Klebsiella pneumoniae isolated from children were more than those from adults and the old people,so bacterial resistance in children is an important problem in China.Conclusion ESBLs detection rate of Escherichia coli increased slightly after years of continuous decline.The proportion of carbapenem resistant Pseudomonas aeruginosa was stable,but the resistance rate of Klebsiella pneumoniae and Acinetobacter baumannii to carbapenems was still increased,which should be paid more attention.

Objective To explore the role pathway and pattern of the transcription factor myeloma cancer gene (MYC) and its mRNA interaction with microRNA(miRNA, miR) and ciccular RNA(circRNAs) at 0 hour and 6 hour in the rat liver regeneration. Methods The rat 2/3 hepatectomy (partial hepatectomy，PH) model was prepared as described by Higgins, the expression changes of mRNA, miRNA and circRNA together named as competing endogenous RNAs(ceRNA) of remnant liver were detected by the large-scale quantitative detection technology, the interaction network of ceRNA was constructed by Cytoscape 3.2 software, and their correlation in expression and role were analyzed by ceRNA comprehensive analysis. Results It was found that at 0 hour and 6 hours after PH, the ratio value of MYC mRNA showed 0.15±0.03 and 2.36±0.20, miR-540-3p displays 3.00±0.43 and 0.79±0.01, circRNA_04996 showed 1.43±0.43 and 3.14±0.94. At the same time, the four kinds of inflammatory reaction-related genes plasminogen activator urokinase receptor (PLAUR), tumor necrosis factor (TNF), interleukin 1 receptor type 2 (IL1R2), ect, which were prometed in expression by MYC, were down-regulated at 0 hour after PH, but the inflammatory reaction-related genes natriuretic peptide A (NPPA), nuclear receptor subfamily O group B member 2 (NROB2) and peroxisome proliferator activated receptor alpha (PPARA), which were inhibited in expression by MYC, were up-regulated at 0 hour after PH. On the other hand, the three kinds of inflammatory reaction-related genes PLAUR, TNF, IL1R2, ect, which are prometed in expression by MYC, were up-regulated at 6 hours after PH, but the inflammatory reaction-related genes NPPA, NROB2 and PPARA, which were inhibited in expression by MYC, were down-regulated at 6 hours after PH. Conclusion The correlation in expression and role of the miRNA, which are inhibited by circRNAs, MYC, its mRNA is inhibited by miRNAs, and the inflammatory reaction-related genes, which are regulated by MYC, and are helpful for the hepatocyte to be in non-inflammatory reaction state at 0 hour after PH and to be in inflammatory reaction state at 6 hours after PH.

OBJECTIVE: To investigate the role of tumor necrosis factor receptor-associated factor 6 (TRAF6) in regulating Bacillus Calmette-Guérin (BCG)-induced macrophage apoptosis. METHODS: The expression of TRAF6 in peripheral blood samples of 50 patients with active tuberculosis (TB) and 50 healthy individuals were detected using quantitative real-time PCR (qPCR). RAW264.7 macrophages were infected with BCG at different MOI and for different lengths of time, and the changes in expressions of Caspase 3 and TRAF6 were detected with Western blotting and qPCR. In a RAW264.7 cell model of BCG infection with TRAF6 knockdown established using RNA interference technique, the bacterial load was measured and cell apoptotic rate and mitochondrial membrane potential (MMP) were determined with flow cytometry. The expression levels of TRAF6, Caspase 3, PARP, BAX and Bcl-2 in the cells were detected using Western blotting, and the expressions of TRAF6 and Caspase 3 were also examined with immunofluorescence assay. RESULTS: The expression of TRAF6 was significantly upregulated in the peripheral blood of patients with active TB as compared with healthy subjects (P < 0.001). In RAW264.7 cells, BCG infection significantly increased the expressions of Caspase 3 and TRAF6, which were the highest in cells infected for 18 h and at the MOI of 15. TRAF6 knockdown caused a significant increase of bacterial load in BCG-infected macrophages (P=0.05), lowered the cell apoptotic rate (P < 0.001) and reduced the expressions of Caspase 3 (P=0.002) and PARP (P < 0.001). BCG-infected RAW264.7 cells showed a significantly increased MMP (P < 0.001), which was lowered by TRAF6 knockdown (P < 0.001); the cells with both TRAF6 knockdown and BCG infection showed a lowered BAX expression (P=0.005) and an increased expression of Bcl-2 (P=0.04). CONCLUSION TRAF6 promotes BCG-induced macrophage apoptosis by regulating the intrinsic apoptosis pathway.
Apoptosis ; BCG Vaccine ; Caspase 3/metabolism* ; Humans ; Intracellular Signaling Peptides and Proteins ; Macrophages ; Mycobacterium bovis/metabolism* ; Poly(ADP-ribose) Polymerase Inhibitors ; TNF Receptor-Associated Factor 6/metabolism* ; bcl-2-Associated X Protein/metabolism*

Lonicerae Japonicae Flos(LJF), a bulk medicinal material, has long been used in clinical settings. The main/Dao-di production areas are Shandong, Henan, and Hebei. However, no systematic study on the difference in volatile components of LJF from different areas is available at the moment. In this study, gas chromatography-mass spectrometry(GC-MS) was used to detect the volatile components in 30 batches of LJF from 3 main production areas. Based on the relative odor activity value(ROAV), the key aroma components were analyzed. Multivariate statistical analysis was performed to analyze the differential components and characteristic aroma components in the samples from the 3 areas. Finally, 113 volatiles were identified from the samples, which were mainly alcohols, esters, acids, aldehydes, ketones, and alkenes. Among the common components of the three areas, linalool, myristic acid, and α-linolenic acid methyl ester had high content. A total of 15 key and 9 modifying aroma components in LJF were determined based on ROAV. The 15 differential components can be used for origin identification. Among them,(E, E)-2,4-decadienal and hexanal contributed a lot to the aroma of LJF from Henan and α-nerol was a characteristic aroma component of LJF in Hebei. In addition, lauryl aldehyde was a biomarker of LJF from Shandong. This study can provide a reference for the origin identification and quality evaluation of LJF.
Lonicera ; Gas Chromatography-Mass Spectrometry ; Chromatography, High Pressure Liquid ; Multivariate Analysis

OBJECTIVE: To analyze the main factors affecting the positive results of acupuncture for chronic pain in English literature of randomized controlled trial (RCT), in order to provide reference for the design of acupuncture clinical research. METHODS: The RCTs of acupuncture for chronic pain published before March 26, 2020 were searched in PubMed, EMbase and Cochrane Library by computer. A total of 21 factors were analyzed by single-factor analysis, and the factors with statistically significant difference were selected for multivariate Logistic regression analysis. RESULTS: A total of 69 RCTs were included, including 47 RCTs (68.12%) with positive results and 22 RCTs (31.88%) with non-positive results. The multivariate Logistic regression analysis was performed with the three screened factors (publication year, treatment frequency and intervention form) selected by single-factor analysis, and the results showed that the positive results were related to the frequency of acupuncture treatment. The positive rate of RCT with frequency≥2 times a week was 3.24 times of that with frequency<2 times a week (OR=3.24, 95%CI =[1.07,9.83], P<0.05). CONCLUSION Acupuncture frequency may be the main factor affecting the positive results of RCT in English literature of acupuncture for chronic pain. More researches are needed in the future to explore the influence of acupuncture frequency on the curative effect.
Acupuncture ; Acupuncture Therapy ; Chronic Pain/therapy* ; Humans ; PubMed