Objective To explore and verify the prognostic value of endothelial cells in glioblastoma. Methods Through bioinformatics analysis of the TCGA and CGGA databases, we screened endothelial cell-related markers in GBM single-cell data according to a series of criteria. Moreover, univariate Cox regression analysis was performed to obtain and screen endothelial cell prognosis-related markers and construct endothelial cell-related prognostic risk score. qPCR experiments was used to verify the differences in the expression of prognostic markers in GBM tissues and peritumoral normal brain tissues. Kaplan-Meier method was used to construct the survival curve to identify the prognostic efficacy of the prognostic risk score. Results A total of 2 115 prognostic genes of glioblastoma (GBM) were screened. Among them, 1 494 was upregulated and 621 was downregulated. Seven groups of cells were obtained after GBM single-cell sequencing analysis, including AC-like tumor cells, endothelial cells, monocytes/macrophages, NB-like tumor cells, neurons, OC-like tumor cells, and OPC-like tumor cells. According to the differential genes of endothelial cells and the corresponding screening criteria, four genes (DUSP6, STC1, VWA1, and TM4SF1) were screened for risk-score construction. The expression of the target gene in GBM tissues and normal brain tissues around the tumor was significantly up-regulated detected by qPCR. The risk score=0.171*DUSP6+0.144*STC1+0.041*VWA1−0.004*TM4SF1. Conclusion The glioblastoma endothelial cells’ risk score determined in this study can preferably predict the prognosis of patients.

OBJECTIVE: To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach. METHODS: Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption QO2 and carbon dioxide production QCO2 were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2. RESULTS: The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC. CONCLUSION The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.
Humans ; Energy Metabolism ; Breath Tests/instrumentation* ; Calorimetry, Indirect/instrumentation* ; Equipment Design

Metabolomics covers a wide range of applications in life sciences, biomedicine, and phytology. Data acquisition (to achieve high coverage and efficiency) and analysis (to pursue good classification) are two key segments involved in metabolomics workflows. Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups. However, insufficient feature extraction, inappropriate feature selection, overfitting, or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused. Using two ginseng varieties, namely Panax japonicus (PJ) and Panax japonicus var. major (PJvm), containing the similar ginsenosides, we integrated pseudo-targeted metabolomics and deep neural network (DNN) modeling to achieve accurate species differentiation. A pseudo-targeted metabolomics approach was optimized through data acquisition mode, ion pairs generation, comparison between multiple reaction monitoring (MRM) and scheduled MRM (sMRM), and chromatographic elution gradient. In total, 1980 ion pairs were monitored within 23 min, allowing for the most comprehensive ginseng metabolome analysis. The established DNN model demonstrated excellent classification performance (in terms of accuracy, precision, recall, F1 score, area under the curve, and receiver operating characteristic (ROC)) using the entire metabolome data and feature-selection dataset, exhibiting superior advantages over random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and multilayer perceptron (MLP). Moreover, DNNs were advantageous for automated feature learning, nonlinear modeling, adaptability, and generalization. This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples. This established approach holds promise for plant metabolomics and is not limited to ginseng.

Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals ; Drugs, Chinese Herbal/chemistry* ; Mice ; Macrophages/immunology* ; Glucose/metabolism* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics* ; Male ; Mice, Inbred C57BL ; Humans ; Colitis/drug therapy* ; Disease Models, Animal ; Colitis, Ulcerative/drug therapy* ; Metabolic Reprogramming

Objective To investigate the effect of miR-142-3p on the apoptosis of rat pancreatic exocrine cell line AR42J by regulating Hmgb1.Methods AR42J cells were divided into blank group(blank),acute pancreatitis model group(AP,100 nmol/L cerulein for 24 h),and then transfected with miR-142-3p mimics,mimics NC,miR-142-3p inhibitor and inhibitor NC,respectively.The cells in the model group were recorded as miR-142-3p mimics group,mimics NC group,miR-142-3p inhibitor group and inhibitor NC.The expression of miR-142-3p in cells was detected by RT-qPCR.The protein expressions of HMGB1,caspase-3,Bax and Bcl-2 were detected by Western blot.Hoechst staining was used to determine cell apoptosis.The apoptosis rate of cells was detected by flow cytometry.The targeting relationship between miR-142-3p and Hmgb1 was determined by dual luciferase reporter gene assay.Results Compared with blank control group,the expression level of miR-142-3p in the AP group was significantly down-regulated(P＜0.01),the expression level of HMGB1 and caspase-3 proteins was up-regulated(P＜0.05),the expression level of Bax protein was significantly up-regulated(P＜0.01),the expression level of Bcl-2 protein was significantly decreased(P＜0.01)and the apoptosis rate increased significantly(P＜0.01).Compared with the mimics NC group,the level of miR-142-3p in the miR-142-3p mimics group was significantly up-regulated(P＜0.01),the expression of HMGB,caspase-3 and Bax proteins was significantly down-regulated(P＜0.01),the expression of Bcl-2 protein was up-regulated(P＜0.05),and the apoptosis rate decreased signifi-cantly(P＜0.01).Compared with inhibitor NC group,the expression level of miR-142-3p in miR-142-3p inhibitor group was down-regulated(P＜0.05),the expression levels of HMGB1,caspase-3 and Bax proteins were signifi-cantly up-regulated(P＜0.01),the expression level of Bcl-2 protein was decreased(P＜0.05)and the apoptosis rate increased significantly(P＜0.01).The dual luciferase reporter gene assay showed that Hmgb1 was the target gene of miR-142-3p.Conclusions 1)The expression of miR-142-3p was low in the model group.2)miR-142-3p can inhibit the apoptosis of AR42J cells by inhibiting the expression of Hmgb1.

In the quality control of Chinese medicine， the detection of active components and toxic and harmful components are two important links. Although conventional methods such as high performance liquid chromatography and liquid chromatography-mass spectrometry can accurately quantify the above substances， they have shortcomings such as complicated operation， high costs， inability of detection at any time， difficult detection of insoluble and macromolecular substances. Enzyme-linked immunosorbent assay （ELISA） can adsorb antigens or antibodies on the surface of solid carriers and realize qualitative or quantitative analysis of targets by using the specific reactions of antigens and antibodies. This method is praised for the simple operation， high sensitivity， strong specificity， simple requirements for experimental equipment， a wide application range， and low costs. In recent years， ELISA has been widely used in the quality control of Chinese medicine， especially in the content determination of mycotoxins represented by aflatoxin and the qualitative and quantitative analysis of active components. ELISA plays an increasingly important role with its unique advantages， providing new methods and ideas for the rapid quality examination of large quantities of Chinese medicines. This paper reviews the research progress in ELISA for the quality control of Chinese medicine in recent years and prospects its technical development and application prospects， aiming to provide reference and research ideas for further using this method to ensure the quality， safety， and controllability of Chinese medicine.

ObjectiveTo establish an allele-specific polymerase chain reaction （PCR） method for identifying Scolopendra dispensing granules， so as to ensure the quality and therapeutic effects of Scolopendra and its preparations. MethodThe primer interval suitable for the PCR was selected based on the cytochrome c oxidase subunit 3（COX-3） gene sequence of Scolopendra， and the single nucleotide polymorphism （SNP） loci of Scolopendra and its adulterants were mined from the interval for the design of specific primers. The samples of Scolopendra and its adulterants were collected. The PCR system was established and optimized regarding the annealing temperature， cycles， Taq enzymes， DNA template amount， PCR instruments， and primer concentrations， and the specificity and applicability of this method were evaluated. ResultThe PCR system was composed of 12.5 μL 2×M5 PCR Mix， 0.4 μL forward primer （10 μmol·L^-1）， 0.4 μL reverse primer （10 μmol·L^-1）， 2.5 μL DNA template， and 9.2 μL sterile double distilled water. PCR parameters： Pre-denaturation at 94 ℃ for 3 min， 30 cycles （94 ℃ for 20 s， 62 ℃ for 20 s， 72 ℃ for 45 s）， and extension at 72 ℃ for 5 min. After PCR amplification with the system and parameters above， the electrophoresis revealed a bright band at about 135 bp for Scolopendra and no band for the adulterants. ConclusionThe established allele-specific PCR method can accurately identify the medicinal materials， decoction pieces， and standard decoction freeze-dried powder of Scolopendra， as well as the intermediates and final products of Scolopendra dispensing granules， which is of great significance for ensuring the quality and clinical efficacy of Scolopendra and its preparations.

Malignant tumors in children are one of the most important diseases that threaten the health and quality of life of children and are the second most common cause of death in children.With the continuous improvement and progress of treatment technology, the long-term survival rate of children with tumor has been significantly improved, but both the disease itself and the treatment can impair the immune function of children, which makes them vulnerable to various infectious diseases and secondary serious complications, and even become a source of infection, endangering the health of others. Vaccination is the most cost-effective measure to prevent infectious diseases. For children with normal immune functions, the benefits of vaccination usually outweigh the disadvantages. However, there is a lack of detailed data on the vaccination situation, efficacy and safety of vaccine use for such immunocompromised tumor survivors, and there are no authoritative and uniform vaccination recommendations. This article reviewed and summarized the literature and consensus of some domestic and foreign scholars on current status of post-treatment vaccination status, efficacy and safety of vaccination for children with tumors after treatment, with the aim of providing a reference for the practice in this field in China.

Objective:To analyze the epidemiological characteristics of respiratory syncytial virus (RSV) infection in children in Tianjin, and provide reference for the prevention and treatment of RSV infection in children.Methods:Clinical data of 2 743 children with acute respiratory infections treated at the Tianjin Fifth Central Hospital from January 2022 to January 2024 were collected. Multiplex fluorescent PCR was used to detect the nucleic acid fragments of six respiratory pathogens including Mycoplasma pneumoniae, human rhinovirus, adenovirus, influenza A virus, influenza B virus and RSV in the throat swabs of the patients. A retrospective analysis was performed on the epidemiological and clinical data of RSV-RNA positive cases. Results:The positive rate of RSV-RNA in the 2 743 children was 15.09% (414/2 743). The positive rate of RSV-RNA was 9.29% (73/786) in 2022 and 16.53% (302/1 827) in 2023, with a statistically significant difference between the two years (χ 2=23.45, P<0.05). The incidence of RSV infection in winter and spring was significantly different from that in summer and autumn (χ 2=19.46, P<0.05). The highest and the lowest infection rates of RSV were found in winter (19.32%, 193/999) and autumn (9.43%, 45/477), respectively. There was a significant difference in RSV infection rate among different age groups (χ 2=71.38, P<0.05), with the highest infection rate in the age group of 0-2 years (21.18%, 230/1 086), and the lowest infection rate in the age group of 6-8 years (6.29%, 27/429). Among the 414 children with RSV infection, 359 cases (84.97%) were infected with RSV alone, while the other 55 cases (13.29%) were infected with mixed pathogens. Fifty-two cases had co-infection of RSV and one other pathogen. The most common pathogens in co-infection cases were human rhinovirus (4.83%, 20/414) and Mycoplasma pneumoniae (6.04%, 25/414). Conclusions:The RSV infection rate among children with acute respiratory tract infection in Tianjin from 2022 to 2024 was 15.09%, with the highest infection rate in spring and the lowest infection rate in autumn. RSV infection can occur in children of all ages, with the highest infection rate in children aged 0-2 years and the lowest infection rate in children aged 6-8 years. RSV infection is often complicated by other respiratory pathogens, and the most common pathogens are human rhinovirus and Mycoplasma pneumoniae.

Gastroesophageal reflux related cough is located in the lung and stomach.The basic pathogenesis is the inversion of stomach qi and the lung loss propagating and descending.In view of the above,based on the theory of"relevance of lung and stomach",this article analyzed the modern mechanism of"relevance of lung and stomach"in gastroesophageal reflux related cough,which included"microinhalation"theory,"esophagus-bronchial reflex"theory,and"airway neurogenic inflammation"theory.This article also put forward the TCM disease name of"gastric cough",and the treatment methods of"simultaneous treatment of lung and stomach"and"treatment of cough from stomach",which would provide new ideas for the theoretical and mechanism research of TCM treatment of gastroesophageal reflux related cough.