This study aims to explore the scientific connotation of sinking Rehmanniae Radix has the best quality and compare the quality between floating and sinking fresh Rehmanniae Radix samples. Ultra-performance liquid chromatography tandem quadrupole electrostatic field Orbitrap high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS) was employed to detect the chemical components in floating and sinking fresh Rehmanniae Radix samples. The fingerprint of fresh Rehmanniae Radix was established by high performance liquid chromatography(HPLC), and four index components were determined simultaneously. The cluster analysis, principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) were conducted to compare the quality of floating and sinking fresh Rehmanniae Radix samples. An evaporative light-scattering detector was used to compare the content of five sugars. The extract yield and drying rate were determined, and the quality connotation of sinking Rehmanniae Radix has the best quality was explained by multiple indicators. A total of 41 components were preliminarily identified from fresh Rehmanniae Radix by UHPLC-Q-Orbitrap HRMS, including 7 iridoid glycosides, 9 phenylethanol glycosides, 6 amino acids, 4 sugars, 3 phenolic acids, 5 nucleosides, 3 organic acids, 1 ionone, 1 furan, 1 coumarin, and 1 phenylpropanoid. The results showed that the main chemical components were consistent between floating and sinking fresh Rehmanniae Radix. Nine common peaks were identified in the fingerprints of 15 batches of floating and sinking fresh Rehmanniae Radix samples, and the similarity of fingerprints was greater than 0.9. The cluster analysis, PCA, and OPLS-DA classified floating and sinking fresh Rehmanniae Radix sasmples into two categories, indicating differences in the quality between them. The total content of catalpol, rehmannioside D, ajugol, and verbascoside in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was catalpol. The total content of fructose, glucose, sucrose, raffinose, and stachyose in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was stachyose. The extract yield and drying rate of the sinking samples were higher than those of floating samples. This study preliminarily showed that floating and sinking fresh Rehmanniae Radix samples had the same components but great differences in the content of medicinal substance basis. The total content of four glycosides and five sugars, extract yield, and drying rate of sinking fresh Rehmanniae Radix samples is higher than that of floating samples of the same batch and specification. These findings, to a certain extent, explains the scientificity of sinking Rehmanniae Radix has the best quality recorded in ancient books and provide a reference for the quality control and clinical application of fresh Rehmanniae Radix.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Rehmannia/chemistry* ; Chemometrics ; Mass Spectrometry/methods* ; Quality Control ; Principal Component Analysis ; Plant Extracts

A method for determination and targeted screening of diflorasone components in health products using ultra performance liquid chromatography-quadrupole time of flight mass spectrometry(UPLC-Q-TOF/MS)was established.Four representative diflorasone and esters(diflorasone,diflorasone diacetate,diflorasone-17-propionate,and diflorasone-21-propionate)were selected to optimize the pretreatment conditions,and 10 mL of extraction solvent dosage,15 min of extraction time and 5 g of salting-out agent as the optimal conditions were selected by response surface methodology.The results showed that the four analytes exhibited good linearity within the concentration range of 2.0?100 μg/L with the chromatographic peak area,and the correlation coefficients(R2)were all greater than 0.9990,while the results of recovery and relative standard deviation could satisfy the requirements of determination.The common characteristic ions of diflorasone and esters werem/z121 andm/z335,and their specific structures were obtained by analyzing the cleavage pathway based on the optimized determination conditions.A targeted screening method for other esters of diflorasone based on characteristic ions guidance strategy was established.This method had many advantages such as high efficiency,high sensitivity and good reproducibility,and could be used for targeted screening of diflorasone and esters in health products.The developed characteristic ion guided strategy could be employed to construct mass spectral databases for various glucocorticoids,enabling comprehensive targeted screening across a broad range of compounds.

Objective To investigate the role of variation trend of pre-treatment blood beta human chorionic gonadotropin(β-HCG)in predicting the efficacy of tubal pregnancy(TP)treated by drug therapy.Methods Clinical data of 380 TP patients treated by drug therapy at the First Affiliated Hospital of Guangzhou University of Chinese Medicine from January 2017 to June 2022 were collected.The patients were divided into 271 cases in the pure Chinese medicine(CM)treatment group(shortened as pure CM group)and 109 cases in the combination of Chinese medicine and western medicine group(shortened as combination group)according to the therapy.The relevant factors that may affect the outcomes of the therapy were analyzed,and logistic regression analysis was used for the control of confounding factors.The influences of pre-treatment β-HCG on the outcomes of TP treated by various therapies were investigated,and the value of variation trend of pre-treatment β-HCG in predicting the efficacy of TP treated by drug therapy was assessed using the receiver operating characteristic curve(ROC curve).Results(1)The results of univariate analysis showed that the initial value of blood β-HCG,the variation trend of β-HCG and the difference value of β-HCG detected for 2 times before treatment were correlated with the treatment outcomes in the pure CM group and the combination group,and the differences were all statistically significant(P＜0.05 or P＜0.01).(2)The results of multivariate regression analysis showed that in the pure CM group,the blood β-HCG values and the variation trend of β-HCG detected for 2 times before treatment were correlated with the treatment outcomes,and the differences were all statistically significant(P＜0.05 or P＜0.01);in the combination group,the menopausal time and blood β-HCG value detected at the second time before treatment were correlated with the treatment outcomes,and the differences were all statistically significant(P＜0.05).(3)After controlling for the confounding factors,the variation trend of pre-treatment β-HCG in the pure CM group was correlated with the treatment outcomes,and the difference was statistically significant(OR=3.35,95%CI being 1.69-6.65,P = 0.001).However,the variation trend of pre-treatment β-HCG in the combination group did not affect the treatment outcomes,and the difference was not statistically significant(P＞0.05).(4)The ROC curve analysis showed that the area under the curve(AUC)in the pure CM group was 0.74,the cutoff value was-0.14,the sensitivity was 71.3%and the specificity was 67.8%.The AUC in the combination group was 0.67,the cutoff value was 0.10,the sensitivity was 73.6%and the specificity was 60.7%.Conclusion The variation trend of pre-treatment blood β-HCG can effectively predict the efficacy of Chinese medicine for the treatment of TP,but has no value for predicting the efficacy of the combination of Chinese medicine and western medicine in treating TP.The variation value of pre-treatment blood β-HCG can be used as a valuable reference indicator for the early prediction of the outcomes of TP treated by drug therapy.

Objective To investigate the implementation of surveillance,prevention and control measures for healthcare-associated infection(HAI)in maternal and child healthcare(MCH)institutions,and provide policy evi-dence for optimizing HAI prevention and control in MCH institutions.Methods Stratified sampling was conducted among the MCH institutions at provincial,municipal and county levels in 8 provinces/autonomous regions.A uni-fied questionnaire was designed and the online survey was conducted through"Questionnaire Star".Results The data from 123 MCH institutions were included in the analysis.90.24％of the MCH institutions carried out compre-hensive surveillance on HAI.The ratios of MCH institutions which implemented targeted surveillance on HAI in neonatal intensive care unit(NICU),surgical site infection,multidrug-resistant organisms(MDROs)and HAI in intensive care units(non-NICU excluded)were 89.66％,85.96％,80.77％,and 74.19％,respectively.51.22％MCH institutions adopted information surveillance system on HAI cases.94.31％MCH institutions carried out surveillance on hand hygiene compliance.Over 90％MCH institutions carried out surveillance on environment hy-giene in high-risk departments.71.54％MCH institutions conducted centralized cleaning,disinfection,sterilization and supply for reusable medical instruments in the central sterile supply department(CSSD).Over 90％MCH insti-tutions established three-level pre-examination triage systems.86.18％set up transitional wards.MCH institutions generally adopted a management model with established effective communication,full appointment visits,and sepa-rate visits for special medical groups,such as registered pregnant women,high-risk newborns,healthcare groups,and long-term rehabilitation patients.However,the ratio of institutions conducting on-line follow-up visits was less than 50％.Conclusion MCH institutions have generally carried out comprehensive and targeted surveillance on HAI.Information surveillance need to be facilitated.Hand hygiene and environmental hygiene surveillance has been popularized to a certain extent at all levels of MCH institutions.The cleaning,disinfection,sterilization,and supply processes of reusable medical devices in a few MCH institutions are not standardized.Special medical populations get effective management.On-line healthcare is to be further promoted.

Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

Hydrogen sulfide(H2S)is an emerging endogenous neuromodulator that holds significant potential in the realm of neurological diseases.Its role encompasses reducing neuronal damage,inhibiting excessive activation of striatal astrocytes,and regulating cerebrovascular function,among other physiopathological pathways.Conversely,microRNAs(miRNAs)are widely recognized as pivotal regulators of neurological diseases.They primarily target the 3'untranslated region of the target gene mRNA,impeding mRNA translation and hindering its expression to impart neuroprotective effects.Recent findings have underscored the crucial involvement of H2S and miRNAs in the pathogenesis of various neurological disorders such as Parkinson's disease,stroke,and spinal cord diseases,thereby garnering significant attention.This paper comprehensively summarizes the protective effects arising from the interplay between H2S and miRNAs in neurological diseases,while also delving into the potential therapeutic efficacy they hold for such conditions.

AIM:To investigate the molecular mechanism underlying ferroptosis induced by celastrol(Cel)in huamn pancreatic cancer cell line PANC-1.METHODS:The viability of PANC-1 cells was analyzed by MTT assay,and the effects of Cel on cell proliferation were analyzed using EdU and colony formation assays.Flow cytometry and fluores-cence microscopy were used to assess and observe changes in lipid reactive oxygen species(ROS)levels,respectively,while the levels of malondialdehyde(MDA),glutathione(GSH)and Fe2+were measured using specific kits.The protein expression of glutathione peroxidase 4(GPX4)was evaluated by Western blot,and GPX4 ubiquitination was measured by immunoprecipitation.RESULTS:It was found that the viability,proliferation and colony formation in PANC-1 cells de-creased gradually as the concentration of Cel increased.Addition of Cel alone to the cells reduced both cell rounding and viability,while treatment with ferrostatin-1(Fer-1)alone or in combination with Cel had no effect on either cell morpholo-gy or viability.Fluorescence staining of lipid ROS with BODIPYTM 581/591 C11 followed by flow cytometry analysis showed significantly increased levels of green fluorescence indicative of oxidized lipid ROS,which were further increased after treatment of the cells with Cel.Treatment of the cells with both Cel and Fer-1 reduced the green fluorescence and lip-id ROS levels.Treatment with Cel also increased the levels of MDA and Fe2+,relative to the controls,which reducing the levels of GSH,while addition of both Cel and Fer-1 to the cells restored the levels of MDA,Fe2+,and GSH to those of the control group.CONCLUSION:Treatment with Cel reduces the proliferation of pancreatic cancer cells by inducing fer-roptosis through promoting the ubiquitination and degradation of GPX4.

Objective:To prepare a humanized monoclonal antibody against periostin and establish a stable cell line.Meth-ods:Based on anti-periostin mouse monoclonal antibody developed by our laboratory,total RNA was extracted,and variable region sequences were obtained by RT-PCR amplification of VH and VL genes.The mouse antibody CDR region was transplanted into the human antibody framework receptor region,and the gene was subcloned into the expression vector PATX-GS2,and stably transfected into CHO cells.Monoclonal cell lines were obtained by MSX pressure screening and limited dilution.Results:VH and VL genes were amplified by RT-PCR,and the sequence of the light and heavy chain variable region were determined.Antibody humanization were successfully stablished by CDR transplantation method a murine antibody to a human framework,and a eukaryotic expression plasmid was constructed,which was transfected into CHO cells for expression,and human anti-periostin antibody was successfully obtained.ELISA and Western blot results showed that the humanized antibody had good anti-periostin activities and binding affinity.Conclu-sion:In this study,anti-periostin humanized monoclonal antibody has been successfully prepared,which can specifically bind to peri-ostin proteins in vivo and have biological activity,providing scientific data for the precise treatment of retinal fibrosis,tissue and organ fibrosis,and malignant tumors.

Objective:To explore the cutoff value for assessing small airway dysfunction in children with asthma.Methods:A total of 364 asthmatic children aged 5 to 14 years, with normal ventilatory function, followed up at the Asthma Clinic of the Children′s Hospital of Capital Institute of Pediatrics from January 2017 to January 2018, were selected as the case group. Concurrently, 403 healthy children of the same age range and without any symptoms in the community were chosen as the control group, and pulmonary function tests were conducted. The values of forced expiratory volume in 1 second (FEV 1), forced vital capacity (FVC), forced expiratory flow at 50% of FVC (FEF 50), forced expiratory flow at 75% of FVC (FEF 75) and maximum mid-expiratory flow (MMEF) were compared between case group and control group. Statistical tests such as t-test, χ2 test, or Mann-Whitney U test were used to analyze the differences between the groups. Receiver operating characteristic (ROC) curves were constructed, and the maximum Youden Index was utilized to determine the optimal cutoff values and thresholds for identifying small airway dysfunction in asthmatic children. Results:This study comprised 364 children in the case group (220 boys and 144 girls) and 403 children in the control group (198 boys and 205 girls). The small airway parameters (FEF 50%pred, FEF 75%pred, MMEF%pred) in the asthmatic group were significantly lower than in the control group (77% (69%, 91%) vs. 95% (83%, 109%), 67% (54%, 82%) vs. 84% (70%, 102%), 76% (66%, 90%) vs. 97% (86%, 113%), Z=12.03, 11.35, 13.66, all P<0.001). The ROC curve area under the curve for FEF 50%pred, FEF 75%pred, MMEF%pred was 0.75, 0.74, and 0.79, respectively. Using a cutoff value of 80% for FEF 50%pred achieved a sensitivity of 56.9% and specificity of 81.4%. A cutoff value of 74% for FEF 75%pred resulted in a sensitivity of 67.3% and specificity of 69.2%. Finally, using a cutoff value of 84% for MMEF%pred achieved a sensitivity of 67.9% and specificity of 77.2%. Conclusion:In the presence of normal ventilatory function, utilizing FEF 50<80% predicted or MMEF<84% predicted can accurately serve as criteria for identifying small airway dysfunction in children with controlled asthma.