OBJECTIVES: To investigate the molecular mechanism by which salvianolic acid B (Sal-B) modulates mitochondrial functional homeostasis and alleviates myocardial ischemia-reperfusion (I/R) injury in mice. METHODS: Mouse cardiomyocyte HL-1 cells were pretreated with 5 μmol/L Sal-B with or without sh-Sirt1 transfection before exposure to hypoxia-reoxygenation (HR), and the changes in ATP production, mitochondrial superoxide activity, substrate oxidation level were evaluated. In the animal experiment, 36 C57BL/6J mice were randomized into 3 groups (n=12) for sham operation or ligation of the left anterior coronary artery to induce myocardial I/R injury with or without intravenous injection of Sal-B+I/R (50 mg/kg). In the rescue experiment, 60 adult C57BL/6J mice were randomized into 5 groups (n=12): sham-operated group, myocardial I/R group, Sal-B+I/R group, I/R+Sal-B+Sirt1fl/fl group, and I/R+Sal-B+cKO-Sirt1 group. Myocardial injury was evaluated with HE staining, and cardiac function was assessed by measurement of the ejection fraction and fractional shortening using echocardiography. RESULTS: In HL-1 cells with HR injury, Sal-B pretreatment significantly increased cellular ATP production, reduced mitochondrial superoxide anion levels, and enhanced oxygen consumption level. In the mouse models of myocardial I/R injury, Sal-B pretreatment markedly ameliorated I/R-induced structural disarray of the cardiac myocytes and improved cardiac ejection. Cycloheximide chase with Western blotting and ubiquitination assays after Sirt1-IP showed that Sal-B significantly inhibited Sirt1 degradation in HL-1 cells. Sirt1 knock-down reversed Sal-B-induced increases in ATP production, reduction in superoxide, and elevation of OCR in HL-1 cells. Cardiomyocyte-specific Sirt1 knockout obviously reversed Sal-B-mediated improvement in cardiac ejection function and myocardial structure damage in mice with myocardial I/R injury. CONCLUSIONS Sal-B promotes mitochondrial functional homeostasis in cardiomyocytes with HR injury and improves cardiac function in mice after myocardial I/R by inhibiting Sirt1 protein degradation.
Animals ; Sirtuin 1/metabolism* ; Myocardial Reperfusion Injury/physiopathology* ; Mice, Inbred C57BL ; Mice ; Myocytes, Cardiac/drug effects* ; Benzofurans/pharmacology* ; Homeostasis/drug effects* ; Male ; Mitochondria/drug effects* ; Depsides

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective To investigate the popularization of cardiopulmonary resuscitation(CPR)knowledge and science popularization needs among urban and rural residents in Tonghai County,Yuxi City,Yunnan Province,so as to explore the establishment of an efficient and appropriate science popularization model.Methods A total of 300 residents aged 15-60 years old were selected from Tonghai County,Yuxi City,Yunnan Province using stratified and simple random sampling methods.A self-designed questionnaire was used to conduct an anonymous questionnaire survey.Results Only 20.3%of Tonghai County residents master CPR skills,and 26.2%of Tonghai County residents have never heard of CPR.There is a statistically significant difference in the awareness rate of CPR between rural residents and non-rural residents(P<0.01).There are differences in residents'age and CPR awareness(P<0.01),the age and CPR are inversely proportional.The residents have a higher willingness to perform chest compressions and mouth-to-mouth resuscitation on strangers,66.2%and 68.6%respectively.63.79%of residents have never attended relevant training.But 92.76%of the people said they were willing to participate in the relevant training when they learned the training news.Conclusion Residents in Tonghai County generally lack knowledge of CPR first aid,but the demand for first aid knowledge of residential CPR is high and the attitude towards rescue is positive.It is recommended that relevant departments increase CPR science popularization and training efforts,and popularize CPR into villages.

Objective:To screen host cell proteins interacting with rotavirus nonstructural protein 2(NSP2) and provide a theoretical basis for the discovery of antiviral targets.Methods:E. coli BL21(DE3) was transformed with a recombinant plasmid NSP2-pGEX-6P-1 and induced by IPTG to express NSP2-GST. GST affinity chromatography was used to purify NSP2-GST and Western blot was performed for verification. NSP2-GST and GST proteins were used as targets to capture interacting proteins in MA104 cells via GST pull-down. After silver staining, differential proteins were screened by in-gel enzymatic hydrolysis and mass spectrometry. Protein pilot platform was used to filter peptides, and the names and the biological functions of the proteins were obtained by Paragon algorithm. The potential connection between the interacting proteins was demonstrated by protein interaction network diagrams and GO functional annotation analysis. Moreover, the molecular docking of the top three proteins with NPS2 was predicted using HDOCK server and verified by docking and confidence scores, so as to investigate the visual docking model between interacting proteins. Results:SDS-PAGE and Western blot showed the successful purification of the recombinant protein NSP2. Ten host proteins including PKM2, which might interact with NSP2, were identified by GST pull-down and protein profiling. GO analysis and interaction diagrams revealed that RPS4X, EZR, SUPT16H and EIF2S3 mediated molecular expression; PKM2, LDHA and ATP5A1 participated in energy metabolism; HSP90, ACTB and ANXA2 were involved in biological movement. Besides, there were functional connections and interaction networks among them. Molecular docking further verified PKM2, HSP90 and RPS4X did interact with NSP2, and the interaction force were strong enough to form a stable structure.Conclusions:This study successfully discovered several host proteins including PKM2, HSP90 and RPS4X that could interact with NSP2, providing reference for investigating the process of rotavirus infection and making related prevention and control strategies.

Objective : To screen the RNA binding proteins interacting with NBV nonstructural protein σNS in host cells and to analyze their bioinformatics functions. Methods : In this study , the eukaryotic expression vector pEF⁃HA⁃MB⁃S3 of NBV σ NS was constructed and transfected into HEK293T cells after verification. After RNase A treatment , the obtained protein lysate was enriched by immunoprecipitation to enrich σNS binding proteins , identified and analyzed by LC⁃MS/MS mass spectrometry , and the properties and specific functions of proteins were discovered with the help of related Bioinformatics tools. Results : In this study , 32 candidate RNA binding proteins interacting with NBV σNS proteins were successfully screened , and the results of bioanalysis showed that these proteins were mainly located in cytoplasm and nucleus , and were mainly involved in biological processes such as cell metabolism , biological regulation , virus translation and transcription. Conclusion This study preliminarily analyzes the function of RNA binding proteins interacting with NBV σNS , which lays a foundation for further study on the mechanism of σNS protein in NBV life cycle.

OBJECTIVE: To analyze the clinical features and genetic basis for a Chinese pedigree affected with hereditary dyschromatosis symmetrica hereditaria (DSH). METHODS: Peripheral blood samples of the proband and his mother were collected and subjected to PCR and Sanger sequencing. RESULTS: The patient has conformed to the typical pattern of DSH and manifested with hyperpigmentation, hypo- and hyperpigmentation spots on the back of hands, feet and face. Sanger sequencing confirmed that the proband and his mother have both harbored heterozygous splicing variant c.2762+1G>T in exon 9 of the ADAR gene, which was unreported previously. The same variant was not detected among 100 healthy controls. According to the guidelines of the American College of Medical Genetics and Genomics, the variant was predicted to be pathogenic (PVS1+PM2+PP4). CONCLUSION The c.2762+1G>T variant of the ADAR gene probably underlay the DSH in this pedigree. Above finding has enriched the spectrum of ADAR gene mutations.
Adenosine Deaminase/genetics* ; China ; Humans ; Mutation ; Pedigree ; Pigmentation Disorders/congenital* ; RNA-Binding Proteins/genetics*

Mitochondria are the most abundant organelles in oocytes. Successful fertilization and embryo development are heavily dependent upon inherent qualities of the oocytes, and thus reliant upon mitochondrial function of oocyte maturation. In addition to energy supply,mitochondria are multifunctional organelles that involved in many biological processes such as protein homeostasis in the cytoplasm and intracellular signaling pathways. With the development of assisted reproductive technology, more and more researches focus on the function of mitochondria on oocytes maturation, aging and pre-implantation embryonic development. In this review, we discuss the functions and changes of mitochondria during oogenesis, focusing on the consideration for therapeutic applications of mitochondrial replacement therapy in the treatment of mitochondrial diseases.

Mitochondria are the most abundant organelles in oocytes. Successful fertilization and embryo development are heavily dependent upon inherent qualities of the oocytes, and thus reliant upon mitochondrial function of oocyte maturation. In addition to energy supply,mitochondria are multifunctional organelles that involved in many biological processes such as protein homeostasis in the cytoplasm and intracellular signaling pathways. With the development of assisted reproductive technology, more and more researches focus on the function of mitochondria on oocytes maturation, aging and pre-implantation embryonic development. In this review, we discuss the functions and changes of mitochondria during oogenesis, focusing on the consideration for therapeutic applications of mitochondrial replacement therapy in the treatment of mitochondrial diseases.

Objective:To analyze the inter-observer consistency of Smart 3D super microvascular imaging (Smart-3D SMI) in evaluating the blood flow of breast lesions.Methods:Prospective study on Smart-3D SMI images of 225 cases of continuous breast lesions in Peking Union Medical College Hospital from January to December 2018. Two sonographers conducted qualitative evaluation of vascular architecture(VA) under Smart-3D SMI, and took the mean value of three measurements evaluations of vascular index(VI). Weighted Kappa was used to test the consistency of the vascular architecture, and Bland-Altman scatter plot was used to calculate the 95% consistency limit of the measured data for the VI value. Spearman correlation coefficient was used to analyze whether the absolute difference of VI between observers was correlated with the mean value of VI.Results:The Weighted Kappa coefficient of Smart-3D SMI for the evaluation of VA by two sonographers was 0.839 (95% CI was 0.795-0.881, P<0.001), showing strong inter-observer consistency. Bland-Altman plot analysis of VI value showed that the value of 95.11% was within the clinically acceptable range and had good consistency, and there was a correlation between the difference of VI value between observers and the value of VI mean ( r s=0.639, P<0.001). Conclusions:There is a good inter-observer consistency in evaluating the blood vascular architecture and quantitatively measuring the blood flow abundance by Smart-3D SMI.