This study aims to explore the impact of host plants on the quality of Taxilli Herba and provide a theoretical basis for the quality control of Taxilli Herba. The components of Taxilli Herba from three different host plants(Morus alba, Salix babylonica, and Cinnamomum cassia) and its 3 hosts(mulberry branch, willow branch, and cinnamon branch) were detected by widely targeted metabolomics based on ultra-high performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS). Principal component analysis(PCA), orthogonal partial least squares discriminant analysis(OPLS-DA), and Venn diagram were employed for analysis. A total of 717 metabolites were detected in Taxilli Herba from the three host plants and the branches of these host plants by UPLC-MS/MS. The results of PCA and OPLS-DA of Taxilli Herba from the three different host plants showed an obvious separation trend due to the different effects of host plants. The Venn diagram showed that there were 32, 8, and 26 characteristic metabolites in samples of Taxilli Herba from M. alba host, S. babylonica host, and C. cassia host, respectively. It was found by comparing the characteristic metabolites of Taxilli Herba and its hosts that each host transmits its characteristic components to Taxilli Herba, so that the Taxilli Herba contains the characteristic components of the host. The Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis showed that the differential metabolites of Taxilli Herba from the three hosts were mainly enriched in flavonoid biosynthesis, arginine and proline metabolism, and glycolysis/gluconeogenesis pathways. Furthermore, the differential metabolites enriching pathways of Taxilli Herba from the three hosts were different depending on the host. In a word, host plants have a significant impact on the metabolites of Taxilli Herba, and it may be an important factor for the quality of Taxilli Herba.
Metabolomics/methods* ; Drugs, Chinese Herbal/chemistry* ; Chromatography, High Pressure Liquid ; Tandem Mass Spectrometry ; Quality Control ; Salix/chemistry* ; Cinnamomum aromaticum/metabolism* ; Principal Component Analysis

The differences in chemical quality characteristics between Xinjiang Rehmannia glutinosa and R. glutinosa were analyzed to provide a theoretical basis for the introduction and quality control of R. glutinosa. In this study, the high performance liquid chromatography(HPLC) fingerprints of 6 batches of Xinjiang R. glutinosa and 10 batches of R. glutinosa samples were established. The content of iridoid glycosides, phenylethanoid glycosides, monosaccharides, oligosaccharides, and polysaccharides in Xinjiang R. glutinosa and R. glutinosa was determined by high performance liquid chromatography-diode array detection(HPLC-DAD), high performance liquid chromatography-evaporative light scattering detection(HPLC-ELSD), and ultraviolet-visible spectroscopy(UV-Vis). The determination results were analyzed with by chemical pattern recognition and entropy weight TOPSIS method. The results showed that there were 19 common peaks in the HPLC fingerprints of the 16 batches of R. glutinosa, and catalpol, aucubin, rehmannioside D, rehmannioside A, hydroxytyrosol, leonuride, salidroside, cistanoside A, and verbascoside were identified. Hierarchical cluster analysis(HCA) and principal component analysis(PCA) showed that Qinyang R. glutinosa, Mengzhou R. glutinosa, and Xinjiang R. glutinosa were grouped into three different categories, and eight common components causing the chemical quality difference between Xinjiang R. glutinosa and R. glutinosa in Mengzhou and Qinyang of Henan province were screened out by orthogonal partial least squares discriminant analysis(OPLS-DA). The results of content determination showed that there were glucose, sucrose, raffinose, stachyose, polysaccharides, and nine glycosides in Xinjiang R. glutinosa and R. glutinosa samples, and the content of catalpol, rehmannioside A, leonuride, cistanoside A, verbascoside, sucrose, and glucose was significantly different between Xinjiang R. glutinosa and R. glutinosa. The analysis with entropy weight TOPSIS method showed that the comprehensive quality of R. glutinosa in Mengzhou and Qinyang of Henan province was better than that of Xinjiang R. glutinosa. In conclusion, the types of main chemical components of R. glutinosa and Xinjiang R. glutinosa were the same, but their content was different. The chemical quality of R. glutinosa was better than Xinjiang R. glutinosa, and other components in R. glutinosa from two producing areas and their effects need further study.
Rehmannia/classification* ; Drugs, Chinese Herbal/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Quality Control

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

On March 19, 2021, the National Medical Products Administration(NMPA) issued the Regulations on the Supervision and Administration of Medical Devices (Order No. 739 of the State Council of the People's Republic of China), which clearly stipulated in Article 53 the basic definition and scope of use of in vitro diagnostic reagents developed by medical institutions. It also pointed out that the relevant administrative measures shall be formulated by the Drug Regulatory Department of the State Council in conjunction with the Health Department of the State Council. This initiative marks the re-incorporation of in vitro diagnostic reagents developed by medical institutions into China's regulatory system. This study reviewed the development of regulatory policies for self-developed in vitro diagnostic reagents at home and abroad, combined with the Key Points of On-site Verification of Self-developed In Vitro Diagnostic Reagents in Shanghai Medical Institutions issued by the Shanghai Municipal Drug Administration, in conjunction with the Shanghai Municipal Health Commission, and the specific verification work of pre-record evaluation, and sorted out the general requirements for the quality management system of self-developed in vitro diagnostic reagents. The purpose is to provide some references for the further development of this pilot work and its nationwide promotion.
China ; Quality Control ; Indicators and Reagents/standards* ; Reagent Kits, Diagnostic/standards*

Objective:To construct a risk prediction model of hyperuricemia (HUA) for community-dwelling residents.Methods:This cross-sectional study was conducted from March to November 2020. A total of 1 967 residents in the Nanzhai community of Taiyuan city were selected by stratified sampling method as study subjects, among whom 1 555 (80%) subjects served as the training set and the remaining 412 (20%) as the validation set. Blood uric acid was measured in all subjects and level>420 mmol/L was defined as HUA. The risk factors of HUA were determined with multivariate logistic regression analysis, and a risk prediction model was constructed. The Hosmer-Lemeshow goodness-of-fit test and the receiver operating characteristic (ROC) curve were used to evaluate the predictive performance of the model.Results:Among the 1 555 residents in the training set, HUA was detected in 285 cases (18.3%). The detection rate in men was significantly higher than that in women [29.8% (220/739) vs. 8.0% (65/816), χ 2=123.17, P<0.05]. Compared to non-HUA group, the waist circumference and BMI, and the proportion of smoking, drinking, staying up late, and prevalence of hypertension and dyslipidemia were significant higher in HUA group. There was significant difference in the frequency of drinking tea, coffee, milk, and eating fruits, as well as the amount of beverages consumed between the two groups ( P<0.05). Multivariate logistic regression analysis showed that high BMI ( OR=1.132, 95 %CI:1.070-1.197, P<0.001), coffee consumption ( OR=1.337, 95 %CI:1.027-1.742, P=0.032), and dyslipidemia ( OR=1.479, 95 %CI:1.049-2.086, P=0.025) were risk factors of HUA, while female sex ( OR=0.213, 95 %CI:0.146-0.390, P<0.001) was protective factor of HUA. When all factors were included in the logistic regression model, gender, BMI, coffee consumption, beverage intake, sodium salt intake, sleep quality, and dyslipidemia ( OR=0.213, 1.113, 1.353, 0.788, 1.320, 0.788, 1.651) were important components of the HUA prediction model. By substituting the constant, these factors, and the regression coefficients into the logistic regression equation, the Logit(P) formula was obtained: Logit(P)=-1.530-1.547×gender+0.107×BMI+0.303×coffee consumption frequency-0.238×sodium salt intake+0.278×beverage intake-0.238×sleep quality+0.502×dyslipidemia. The ROC curve showed an area under the curve ( AUC) of 0.750. The Hosmer-Lemeshow goodness-of-fit test: P=0.632, indicating a satisfactory fit. When the formula was applied to the validation set for internal validation, the AUC was 0.745. Conclusion:The occurrence of HUA is influenced by multiple factors. The prediction model constructed in this study has good prediction performance,which may be used to predict the risk of HUA in primary care settings for community-dwelling residents.

Objective To investigate the prognostic value of mitochondrial autophagy-related genes(MRGs)in prostate cancer(PCa),and to reveal their regulatory relationship with interstitial epidermal transforming factor(C-Met)based on the Gene Expression Database(GEO).Methods Single-cell RNA sequencing(scRNA-seq)data of three PCa samples were obtained from the GSE153892 dataset of GEO,and MRGs were collected from the Genecards database and previous literature.The scRNA-seq data were processed and analyzed using the Seurat software package,including quality control,gene expression screening,cell type annotation,differentially expressed genes(DEGs)identification,and intersection analysis with MRGs.The transcriptome data of PCa and control samples were downloaded from the Cancer Genome Atlas Database(TCGA)-PRAD cohort,and differential expression analysis and copy number variation analysis were conducted.The non-negative matrix factorization algorithm is adopted to conduct cluster analysis on PCa samples to identify different PCa subtypes.A prognostic risk model based on intersection genes was constructed,and the predictive ability of the model was analyzed through Kaplan-Meier survival curve analysis and time-dependent receiver operating characteristic(ROC)curve analysis.Conduct independent prognostic analysis,construct a nomogram model based on risk scores and clinical characteristics,and evaluate its ability to predict patient survival rates.The possibility of immune infiltration and tumor immune escape in PCa samples was evaluated by using the single-sample Gene Set Enrichment analysis(ssGSEA)algorithm and the TIDE database.The relationship between intersection genes and C-Met expression was analyzed using Pearson correlation analysis.Results scRNA-seq data analysis identified five cell types including B lymphocytes,epithelial cells,monocytes,natural killer cells and T lymphocytes,and discovered the intersection genes that were highly expressed in different cell types.Through differential expression analysis,genes significantly related to the prognosis of PCa patients were screened out,and a prognostic risk model was constructed.Six genes such as ADH5 and CAT were retained through LASSO analysis.A diagnostic model was constructed and grouped.There was a significant difference in survival time between the two groups in the internal test set(P<0.05).ROC curve evaluation showed that the model had a good predictive ability for 1-,3-,and 5-year survival rates.The external test set verified that there was a statistically significant difference in the expression of intersection genes(P<0.05).Independent prognostic analysis identified T stage and risk score as independent prognostic factors.A nomogram model was constructed.Calibration curve and ROC curve analyses showed that the predictive ability of this model was superior to that of the simple risk model.ssGSEA analysis revealed differences in the abundance of immune cell inflammation and immune function scores between the two groups.Most immune cells,immune function,and risk scores were related to the modeling genes.There were significant differences in TIDE scores and multiple immune checkpoints between the high-risk and low-risk groups(P<0.05).BCAT2,DCXR,OGT and FUS were positively correlated with the expression of C-Met,while ADH5 and CAT were negatively correlated with the expression of C-Met(P<0.05).Conclusion The prognostic risk model based on intersection genes can effectively predict the prognosis of patients with PCa,and the risk score and T stage are independent prognostic factors for PCa.The correlation analysis of intersection genes and C-Met expression provides a new idea for the targeted therapy of PCa.

Objective To investigate the role of interleukin-9(IL-9)in the invasive growth of bone cystic tissue with cystic echinococcosis and its molecular mechanisms.Methods Paraffin sections of bone cystic tissues from 8 patients with cystic echinococcosis were collected,and paraffin sections of affected knee joint tissues from 8 patients with osteoarthritis were selected as controls.qPCR was used to detect the expression levels of IL-9 mRNA in bone cystic tissues and osteoarthritis bone tissues.RAW264.7 cells were divided into the Undifferentia-tion group(Group 1),the MCSF group(Group 2),the MCSF+RANKL group(Group 3),the MCSF+RANKL+echinococcosis antigen B group(Group 4),and the MCSF+RANKL+IL-9 group(Group 5).qPCR was used to detect the expression levels of TRAP and cathepsin K mRNA in cells of each group.Western blot was used to detect the expression levels of p-p65,p65,nuclear factor of activated T-cells 1(NFATc1),phosphorylated signal transducer and activator of transcription 3(p-STAT3),signal transducer and activator of transcription 3(STAT3),phosphorylated extracellular signal-regulated kinase 1/2(p-ERK1/2)and extracellular signal-regulated kinase 1/2(ERK1/2)in cells of each group.Results The expression level of IL-9 mRNA was higher in bone cystic tissues than that in osteoarthritis bone tissues(P<0.05).Compared with Group 1,the expression levels of TRAP and cathepsin K mRNA in Group 2,Group 3,Group 4 and Group 5 were significantly increased(P<0.05),as well as the levels of p-p65,p-STAT3 and p-ERK1/2,and the expression levels of NFATc1(P<0.05);Compared with Group 3,the above indexes in Group 5 were all increased(P<0.05).Conclusion The expression level of IL-9 is up-regulated in bone cystic tissues,and it enhances the induction of osteoclast differentiation by up-regulating the nuclear factor-κB(NF-κB)/STAT3/ERK1/2 signaling pathway,which may play an important role in bone erosion of bone echinococcosis.

Knee osteoarthritis is a common joint disease within osteoarthritis,characterized by pain,swelling,and limited functionality as the main clinical manifestations.In severe cases,it affects daily life and falls under the category of"impediment syndrome"or"bone impediment"in TCM.The author believes that the theory of"bones,tendons,and muscles"is closely related to this disease.Treatment should focus on simultaneously nourishing the liver,spleen and kidneys,considering tendons,bones and muscles,while also dispelling wind,cold and dampness.The clinical application of Sanbi Decoction has shown good efficacy,and this discussion aimed to provide ideas for the diagnosis and treatment of knee osteoarthritis.

Spinal cord injury is a central nervous system disorder caused by direct or indirect trauma to the spinal cord, with an increasing incidence year by year. Neuroinflammation, oxidative stress, and local edema following spinal cord injury can lead to motor, sensory and cognitive impairment in patients, resulting in an extremely high disability rate. Conventional treatments primarily involve surgery combined with pharmacotherapy, yet clinical outcomes remain unsatisfactory. Hesperidin, a citrus-derived flavonoid and its derivatives (neohesperidin, hesperetin, etc.) exhibit anti-inflammatory, antioxidant, anti-apoptotic, and pyroptosis-inhibitory properties. When used in the management of spinal cord injury, they can effectively improve post-injury motor dysfunction. However, hesperidin and its derivatives still face problems such as poor blood-brain-spinal cord barrier penetration and incomplete understanding of their key mechanisms, limiting the efficacy of monotherapy with hesperidin and its derivatives in the management of spinal cord injurg. To this end, the authors reviewed the research progress on mechanism of action of hesperidin and its derivatives in the management of spinal cord injury, aiming to provide a reference for its future research and clinical application.