This study aims to investigate the ameliorating effect of Corni Fructus(CF) on the myocardial ischemic injury and the pharmacokinetic properties of characteristic components of CF. The mouse model of isoproterenol-induced myocardial ischemia was established and administrated with the aqueous extract of CF. The general efficacy of CF in ameliorating the myocardial ischemic injury was evaluated based on the cardiac histopathology and the levels of myocardial injury markers: creatine kinase isoenzyme(CK-MB) and cardiac troponin I(cTn-I). The metabolomics analysis was carried out for the heart and serum samples of mice to screen the biomarkers of CF in ameliorating the myocardial ischemic injury and then the predicted biomarkers were submitted to metabolic pathway enrichment. The pharmacokinetic analysis was performed for morroniside, loganin, and cornuside Ⅰ in mouse heart and serum samples to obtain the pharmacokinetic parameters of these components. The pharmacokinetic parameters were then integrated on the basis of self-defined weighting coefficients to simulate an integrated pharmacokinetic profile of CF iridoid glycosides in the heart and serum of the mouse model of myocardial ischemia. The results indicated that CF reduced the pathological damage to cardiac cells and tissue(hematoxylin-eosin staining) and lowered the levels of CK-MB and cTn-I in the serum of the mouse model of myocardial ischemia(P<0.01). Metabolomics analysis screed out 31 endogenous metabolites in the heart and 35 in the serum as biomarkers of CF in ameliorating the myocardial ischemic injury. These biomarkers were altered by modeling and restored by CF. Six metabolic pathways in the heart and 5 in the serum were enriched based on these metabolic markers. The main integrated pharmacokinetic parameters of CF iridoid glycosides were T_(max)=1 h, t_(1/2)=(1.52±0.05) h in the heart and T_(max)=1 h, t_(1/2)=(1.56±0.50) h in the serum. Both concentration-time curves showed a double-peak phenomenon. In conclusion, CF demonstrated the cardioprotective effect by regulating metabolic pathways such as taurine and hypotaurine metabolism, and pantothenic acid and coenzyme A biosynthesis. The integrated pharmacokinetics reflect the general pharmacokinetic properties of characteristic components in CF.
Animals ; Cornus/chemistry* ; Mice ; Metabolomics ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Myocardial Ischemia/metabolism* ; Humans ; Troponin I/metabolism* ; Myocardium/pathology* ; Disease Models, Animal ; Biomarkers/metabolism* ; Creatine Kinase, MB Form/metabolism*

Tubulointerstitial fibrosis (TIF) is one of the key indicators in evaluating the renal function of patients. Mild TIF can cause a vicious cycle of renal tubular glomerular injury and aggravate renal disease. Therefore, studying the mechanisms underlying TIF is essential to identify therapeutic targets, thereby protecting the renal function of patients with timely intervention. Astragaloside IV (AS-IV) is a Chinese medicine component that has been shown to inhibit the occurrence and progression of TIF via multiple pathways. Previous studies have reported that AS-IV protected against TIF by inhibiting inflammation, autophagy, endoplasmic reticulum stress, macrophages, and transforming growth factor-β1, which laid the foundation for the development of a new preventive and therapeutic option for TIF.
Saponins/pharmacology* ; Triterpenes/pharmacology* ; Humans ; Fibrosis ; Animals ; Kidney Tubules/drug effects* ; Kidney Diseases/pathology*

Objective To construct a knowledge graph of Hai Yao Ben Cao(Oversea Materia Medica)based on Neo4j technology,and to analyze the knowledge graph and discuss its significance.Methods Taking the original text of Hai Yao Ben Cao as the data source,the data information related to Chinese medicine was extracted,and then the Excel data table was established.The data information included a total of 13 items,and covered the serial number of Chinese medicines,name of Chinese medicines,medicinal part,origin,medicinal property,medicinal flavor,efficacy,toxicity,and various indicators.The extracted information was preprocessed and standardized.And then the constructed knowledge graph was stored and analyzed by graph database Neo4j.Results The knowledge graph of Hai Yao Ben Cao based on Neo4j was constructed,and a total of 518 entities and 1 046 entity relationships were obtained,which were mainly related with origin,medicinal flavor,and efficacy.The results of the entity statistics presented the status of medicinal development and the distribution of oversea medicines in Late Tang and Five Dynasties.The constructed knowledge graph of Hai Yao Ben Cao ensured the realization of information query and content visualization.Conclusion The constructed knowledge graph of Hai Yao Ben Cao intuitively shows the relationship among the category,origin,medicinal property,medicinal flavor,toxicity and efficacy of the medicines in the book,which will lay a foundation for further research on the medicine-medicine relationship and medicine-disease relationship,and for the study of the history of traditional Chinese medicine(TCM)development.The knowledge graph of Hai Yao Ben Cao will also provide methods for the rational and effective utilization of ancient TCM books,being beneficial to the modernization of TCM.

Objective To clarify the understanding of types of laboratories and manufacturers for GB 9706.1-2020 Medical electrical equipment-Part 1:General requirements for basic safety and essential performance by laboratory proficiency testing for creepage distance and electrical clearance test.Methods An operation guide was formed according to the testing program in GB 9706.1-2020,and the homogeneity and stability of the samples were evaluated according to CNAS-GL003:2018 Guidance on Evaluating the Homogenneity and Stability of Samples Used for Proficiency Testing.Robust statistic methods were used to assess the quantitative parameters of the test results of the participating laboratories according to the requirements in GB/T 28043-2019 Statistical methods for use in proficiency testing by interlaboratory comparison;the results reported by the expert laboratories were used as the specified values of the qualitative parameters.SPSS 25.0 statistical software was used for data analysis.Results All the results of the crreepage distance and electrical clearance tests met the requirements for homogeneity and stability.Of the 46 laboratories involved in,37 ones did have comprehensive satisfactory determinations while the remained 9 ones not.Conclusion Some laboratories don't behave well in understanding the standard,which have to be reformed accordingly to enhance their proficiencies.[Chinese Medical Equipment Journal,2024,45(10):54-59]

ObjectiveTo investigate the mental health of pediatricians in Guangzhou and its influencing factors， and to provide countermeasures for improving the mental health of pediatricians. MethodsA stratified random sampling method was used to randomly select 400 pediatricians in 11 districts of Guangzhou， and they were surveyed using the Symptom Check List（SCL-90） and the Job Stressor Scale. ResultsThe top three job stressors scored by pediatricians in Guangzhou were external environment （3.23±0.59）， workload （3.19±0.56）， and organizational management （2.74±0.55）. All factor scores were higher than those of the clinician group except for career interest， and the difference was statistically significant （P<0.01）. The number of pediatricians with mental health problems was 109， accounting for 27.25%. All factor scores were higher than the physician norm except for anxiety and paranoia. The correlations between each factor of work stressors and each factor of SCL-90 were positive and statistically significant （P<0.05）， except for two pairs of factors， workload and terror as well as external environment and terror. The results of univariate analysis showed statistically significant differences in the mental health scores of pediatricians with different health status， years of work experience， job satisfaction， job stress， and career prospects （P<0.05）. The results of multiple linear regression showed that health status， years of work experience， professional interest， interpersonal relationship， and doctor-patient relationship were influential factors in the mental health of pediatricians （P<0.05）. ConclusionThe mental health of pediatricians in Guangzhou is unsatisfactory， and the factors affecting them are mainly external objective factors such as workload and organizational management.

OBJECTIVES: To estimate postmortem interval (PMI) by analyzing the protein changes in skeletal muscle tissues with the protein chip technology combined with multivariate analysis methods. METHODS: Rats were sacrificed for cervical dislocation and placed at 16 ℃. Water-soluble proteins in skeletal muscles were extracted at 10 time points (0 d, 1 d, 2 d, 3 d, 4 d, 5 d, 6 d, 7 d, 8 d and 9 d) after death. Protein expression profile data with relative molecular mass of 14 000-230 000 were obtained. Principal component analysis (PCA) and orthogonal partial least squares (OPLS) were used for data analysis. Fisher discriminant model and back propagation (BP) neural network model were constructed to classify and preliminarily estimate the PMI. In addition, the protein expression profiles data of human skeletal muscles at different time points after death were collected, and the relationship between them and PMI was analyzed by heat map and cluster analysis. RESULTS: The protein peak of rat skeletal muscle changed with PMI. The result of PCA combined with OPLS discriminant analysis showed statistical significance in groups with different time points (P<0.05) except 6 d, 7 d and 8 d after death. By Fisher discriminant analysis, the accuracy of internal cross-validation was 71.4% and the accuracy of external validation was 66.7%. The BP neural network model classification and preliminary estimation results showed the accuracy of internal cross-validation was 98.2%, and the accuracy of external validation was 95.8%. There was a significant difference in protein expression between 4 d and 25 h after death by the cluster analysis of the human skeletal muscle samples. CONCLUSIONS The protein chip technology can quickly, accurately and repeatedly obtain water-soluble protein expression profiles in rats' and human skeletal muscles with the relative molecular mass of 14 000-230 000 at different time points postmortem. The establishment of multiple PMI estimation models based on multivariate analysis can provide a new idea and method for PMI estimation.
Animals ; Humans ; Rats ; Multivariate Analysis ; Postmortem Changes ; Protein Array Analysis ; Technology

Alternative splicing of pre-messenger RNA (pre-mRNA) is a crucial mechanism for the diversity of the human transcriptome and proteome. Alternative splicing is a complex gene regulation process. Whole-transcriptome analysis shows that 95% of human exonic genes are alternatively spliced, involving various cis-acting elements and trans-acting factors. Any changes in any component or step may cause erroneous splicing events and lead to the occurrence of various related diseases. In addition to gene replacement therapy that directly changes the splicing results, RNA splicing modification is expected to become a new therapeutic strategy to alleviate or treat diseases by targeting and correcting abnormal pre-mRNA splicing. Splicing modification tools currently developed including RNA trans-splicing, antisense oligonucleotides, small interfering RNA, and small molecule drugs can correct abnormal splicing through different ways. This article reviews the resent progress of epigenetic regulation of pre-mRNA alternative splicing in recent years, and discusses the occurrence and regulation of alternative splicing, the types of diseases caused by related splicing defects, and the current-used tools for targeting and altering splicing. The importance of splicing modification strategies in the future treatment of human diseases is envisioned.

Betulinic acid (BA) exerts protective effects on organs in septic animals. However, whether BA can improve cardiac function in sepsis and the underlying mechanism remain unclear. Here, male Sprague-Dawley rats were pretreated with BA (25 mg/ kg/ d, i. g.) for 5 days and then intraperitoneally injected with lipopolysaccharide (LPS, 10 mg/ kg). The rats were anesthetized to determine transthoracic echocardiography using a high-resolution imaging system for small animals after they were treated with LPS for 6 h. Histopathologic alterations were examined by HE staining. Myocardial injury markers (cTnI and CK-MB) and inflammatory factors (TNF-α, IL-1β and IL-6) in the serum were measured by the enzyme-linked immunosorbent assay. Autophagy-related proteins (p62 and LC3 Ⅱ) and AKT-modulated autophagy pathways in the myocardium were determined by Western blotting. Pretreatment with BA markedly improved left ventricular ejection fraction (EF) and fraction shortening (FS) (P<0. 05), improved myocardial histomorphology, and significantly inhibited cTnI, CK-MB, TNF-α, IL-1β and IL-6 (P<0. 05) in the septic rat serum. BA markedly decreased p62 (P<0. 01), increased LC3 Ⅱ (P< 0. 001), and significantly down-regulated p-AKT (Thr308), p-AMPKα (Ser485/ 491), p-mTOR (Ser2448) and p-S6K (Thr389) (P<0. 05), while markedly up-regulated p-AMPKα (Thr172) and pULK1 (Ser317) (P<0. 01) in septic rat hearts. The findings indicate that BA can attenuate sepsis-induced myocardial dysfunctions associated with down-regulating autophagy inhibiting pathways mediated by AKT/ mTOR and AKT/ AMPK pathways.

Applying Chinese medicine (CM) is an important strategy for malignant tumor treatment in China. One of the significant characteristics of CM is to treat diseases based on syndrome differentiation. For Western medicine, it is of important clinical significance to formulate guidelines for the diagnosis and treatment of cancer patients based on the characteristics of disease differentiation. In Chinese clinical practice, the combination of disease differentiation and syndrome differentiation is an important feature for cancer treatment in the past. Currently, molecular profiling and genomic analysis-based precision medicine optimizes the anticancer drug design and holds the greatest success in treating cancer patients. Therefore, we want to know which populations of cancer patients can benefit more from CM treatment if the theory of precision medicine is applied to CM clinical practice. So, we developed a novel diagnostic and therapeutic strategy "disease-syndrome differentiation-genomic profiling-prescriptions" for cancer patients by CM syndrome differentiation and precision medicine. As a result, this strategy has greatly enhanced the anti-tumor efficacy of CM and improved clinical outcomes for cancer patients with some gene mutations. Our idea will hopefully establish a novel approach for the inheritance and innovation of CM.
Antineoplastic Agents ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Medicine, Chinese Traditional ; Neoplasms/therapy* ; Precision Medicine ; Syndrome

OBJECTIVE: To evaluate the effectiveness and safety of Baidu Jieduan Granules (BDJDG) to treat common type coronavirus disease 2019 (COVID-19). METHODS: This multicenter, retrospective, and observational clinical trial included 230 common COVID-19 patients in Leishenshan, Huangshi, and Laohekou Hospitals in Wuhan from January 21 to March 26, 2020. The included patients were further divided into two subgroups according to the use of supplemental oxygen, mild and moderate groups. During the first 14 d of hospitalization, all patients were administered BDJDG combined with conventional Western medicine, and observed for continuous 28 d. Primary outcomes were disease progression rate and discharge rate. Secondary outcomes included negative conversion time of nucleic acid, hospitalization duration, clinical symptom subsidence time, and symptom regression rate. RESULTS: A total of 230 common COVID-19 patients were analyzed (138 in moderate group and 92 in mild group). By day 28, the disease progression rate was 4.3% and the discharge rate was 95.7%. All mild cases recovered and were discharged from hospital. The median negative conversion time of nucleic acid of all 230 COVID-19 patients was 12 d [inter-quartile range (IQR) 3.5-17], the median hospitalization duration was 15 d (IQR 12-20). The median time to fever, cough, and fatigue recovery was 4 d (IQR 2-6), 8 d (IQR 5-12), and 8 d (IQR 5-11). The recovery rate of fever, cough, and fatigue was 94.6%, 90.5%, and 93.5%. The median time to clinical improvement was 12 d (IQR 10-17). Compared with the baseline, total leukocyte counts, neutrophil counts, lymphocyte counts, and platelet counts were increased significantly on days 7 and 14 (P<0.01). C-reactive protein markedly increased on day 3 and significantly decreased on days 7 and 14 (P<0.01). No serious adverse events occurred during treatment. CONCLUSION BDJDG may be effective and safe for treatment of common type COVID-19. (Registration No. ChiCTR2000030836).
C-Reactive Protein ; China ; Cough/drug therapy* ; Disease Progression ; Fatigue ; Fever ; Humans ; Nucleic Acids ; Oxygen ; Retrospective Studies ; SARS-CoV-2 ; Treatment Outcome ; COVID-19 Drug Treatment