Background::We previously reported that activation of the cell cycle in human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) enhances their remuscularization capacity after human cardiac muscle patch transplantation in infarcted mouse hearts. Herein, we sought to identify the effect of magnesium lithospermate B (MLB) on hiPSC-CMs during myocardial repair using a myocardial infarction (MI) mouse model.Methods::In C57BL/6 mice, MI was surgically induced by ligating the left anterior descending coronary artery. The mice were randomly divided into five groups ( n = 10 per group); a MI group (treated with phosphate-buffered saline only), a hiPSC-CMs group, a MLB group, a hiPSC-CMs + MLB group, and a Sham operation group. Cardiac function and MLB therapeutic efficacy were evaluated by echocardiography and histochemical staining 4 weeks after surgery. To identify the associated mechanism, nuclear factor (NF)-κB p65 and intercellular cell adhesion molecule-1 (ICAM1) signals, cell adhesion ability, generation of reactive oxygen species, and rates of apoptosis were detected in human umbilical vein endothelial cells (HUVECs) and hiPSC-CMs. Results::After 4 weeks of transplantation, the number of cells that engrafted in the hiPSC-CMs + MLB group was about five times higher than those in the hiPSC-CMs group. Additionally, MLB treatment significantly reduced tohoku hospital pediatrics-1 (THP-1) cell adhesion, ICAM1 expression, NF-κB nuclear translocation, reactive oxygen species production, NF-κB p65 phosphorylation, and cell apoptosis in HUVECs cultured under hypoxia. Similarly, treatment with MLB significantly inhibited the apoptosis of hiPSC-CMs via enhancing signal transducer and activator of transcription 3 (STAT3) phosphorylation and B-cell lymphoma-2 (BCL2) expression, promoting STAT3 nuclear translocation, and downregulating BCL2-Associated X, dual specificity phosphatase 2 (DUSP2), and cleaved-caspase-3 expression under hypoxia. Furthermore, MLB significantly suppressed the production of malondialdehyde and lactate dehydrogenase and the reduction in glutathione content induced by hypoxia in both HUVECs and hiPSC-CMs in vitro. Conclusions::MLB significantly enhanced the potential of hiPSC-CMs in repairing injured myocardium by improving endothelial cell function via the NF-κB/ICAM1 pathway and inhibiting hiPSC-CMs apoptosis via the DUSP2/STAT3 pathway.

Objective To construct a new type of glucosamine/DNA composite nanostructure(NTGlcN)assembled without magnesium,verify whether or not glucosamine can mediate the assembly of DNA nanotubes(NT)and assess its effect on the function of Raw264.7 cells.Methods Utilizing the gradient annealing method with 3 DNA single strands Y1,Y2,and Y3,glucosamine(GlcN)was employed to mediate the assembly of DNA NT,resulting in the formation of glucosamine/DNA composite nanostructures.Atomic force microscopy(AFM)was used to observe the surface structure of the nanomaterial and dynamic light scattering(DLS)was used to measure its size.RAW264.7 cells were used in cell experiments.The cytotoxicity of GlcN and NTGlcN was assessed using CCK-8 assay.Flow cytometry and laser confocal microscopy were employed to investigate the cellular uptake efficiency of the nanostructures.The effects of NTGlcN and NTMg(Mg2+-assembled of DNA NT)on the expression levels of inflammatory cytokines(IL-1β,IL-6)in macrophages induced by lipopolysaccharides(LPS)were evaluated using RT-qPCR.Results GlcN successfully mediated the synthesis of NTGlcN,which exhibited good stability.AFM characterization results revealed that NTGlcN formed tubular particles that were uniformly distributed on the surface of mica.DLS measurements indicated that the diameter of NTGlcN was approximately 15.26±3.86 nm.Cell experiments demonstrated that,compared to NTMg,macrophages exhibited a higher cellular uptake efficiency for NTGlcN,with a higher cell survival rate following treatment with NTGlcN(P＜0.05).After NTGlcN treatment,the expression of inflammatory cytokines in LPS-induced macrophages was reduced(P＜0.05).Conclusion The glucosamine/DNA composite nanostructures have been successfully developed,possessing excellent stability,biocompatibility and cell uptake efficiency.NTGlcN is capable of reducing the cytotoxicity of GlcN and can suppress cellular inflammatory responses by decreasing the expression of inflammatory cytokines in RAW264.7 cells.

Objective To explore the influence of gender on the prognosis of patients with atrial fibrillation(AF)undergoing left atrial appendage occlusion(LAAO).Methods All non-valvular AF patients who were admitted in our hospital and underwent LAAO from August 2014 to August 2021 were enrolled and grouped according to gender.Their general information,including gender,age,comorbid underlying diseases,and results of transthoracic echocardiography and transesophageal echocardiography(TEE)were collected.The incidences of device-related thrombosis(DRT),pericardial tamponade,stroke,bleeding,hospitalization for heart failure,and cardiac death were recorded during follow-up.The influence of gender on the prognosis of these patients was analyzed.Results There were totally 673 patients with non-valvular AF were enrolled,including 366 males and 307 females,at a mean age of 68.2±9.4 years.When compared with the male patients,the female ones had a higher CHA2DS2-VASc score(P＜0.01),but smaller proportions of history of stroke,average compression ratio of occluders,and incidence of residual shunt(＜3 mm)after occlusion(P＜0.05).In 45～60 d after surgery,TEE revealed that there were 17 cases of DRT,including 8 males(2.2％)and 9 females(2.9％),though without statistical difference between the groups.Among the 17 DRT cases,1 experienced stroke,and the incidence of stroke was 5.9％in those with DRT and 0.5％without.There were 4 cases of postoperative pericardial tamponade,including 1 in the male group and 3 in the female group(no significant difference),and all of them were improved after pericardial puncture and fluid extraction.During the follow-up period of 40.2±20.5 months,no obvious differences were observed between the 2 groups in terms of stroke,bleeding,hospitalization for heart failure,and cardiogenic death.Conclusion Gender shows no significant effect on the prognosis of patients with non-valvular AF after LAAO.

Lithium(Li)salts are commonly used as psychotropic medications for the treatment of major depressive disorders.However,long-term use of Li salts poses a high risk of toxicity,necessitating continuous monitoring of Li concentration in patient blood to ensure medication safety,which is crucial for clinical treatment.Laser-induced breakdown spectroscopy(LIBS),as a rapid analytical technique,has been widely applied in the elemental analysis of complex matrices in various practical scenarios.In this study,LIBS technology combined with partial least squares(PLS)was employed for quantitative analysis of Li elements in blood matrix.A total of 45 clinical blood samples were utilized,and the quantitative models for plasma and whole blood matrices were separately investigated.The number of latent variables in the PLS algorithm was optimized using a five-fold cross-validation method.Results revealed that the PLS quantitative model constructed on the basis of plasma matrix achieved a predictive determination coefficient(R2)of 0.992,a predictive root mean square error(RMSEP)of 0.204 μg/mL,and a relative standard error(RSD)of 2.14%.In contrast,for the PLS quantitative model constructed on the basis of whole blood matrix,the R2 was 0.984,the RMSEP was 0.728 μg/mL,and the RSD was 3.45%Consequently,the LIBS model constructed on the basis of plasma calibration values demonstrated superior performance in quantitative analysis of Li element in whole blood,and LIBS technology provided a new possibility for rapid assessment of blood Li levels in clinical practice,with promising prospects for application.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective To study the effects of scutellarin on endometrial carcinoma Ishikawa cells,and analyze the correlation between the effects and phosphatidyl inositol 3 kinase(PI3 K)/protein kinase B(Akt)signaling pathway.Methods Ishikawa cells were divided into blank group and experimental-L,-M,-H groups,each group was treated with complete medium containing 0,5,10 and 20 μmol·L-1 scutellarin,respectively.Cell viability,clonal formation ability,metastatic ability,invasion,apoptosis and protein expression were detected by cell counting kit-8(CCK-8),plate cloning,scratch,Transwell,flow cytometry and Western blot assay,respectively.Results The cell viability of blank group and experimental-L,-M,-H groups at 48 h were(100.00±0.00)％,(78.51±7.54)％,(52.93±4.91)％and(41.62±5.33)％;the clone formation rate were(100.00±0.00)％,(56.59±6.34)％,(35.23±4.62)％and(10.66±1.91)％;the scratch healing rate were(53.70±6.19)％,(40.59±4.75)％,(34.25±4.40)％and(15.78±2.14)％;the number of invasive cells were 189.70±14.06,106.82±12.67,84.37±8.13 and 53.74±6.78;the relative expression levels of matrixmetallo proteinase-2 were 0.96±0.10,0.73±0.06,0.68±0.08 and 0.42±0.05;tissue inhibitor of MMP-1(TIMP-1)were 0.35±0.04,0.51±0.05,0.74±0.08 and 1.20±0.14;the apoptosis rates were(4.21±0.53)％,(15.83±2.42)％,(22.72±3.85)％and(34.41±4.67)％;the relative expression levels of B cell lymphoma-2(Bcl-2)were 1.38±0.15,0.90±0.10,0.56±0.06 and 0.24±0.03;Bcl-2 associated X protein(Bax)were 0.31±0.02,0.44±0.04,0.93±0.11 and 1.26±0.14;the relative expression levels of PI3Kp85 were 0.67±0.05,0.42±0.04,0.36±0.02 and 0.28±0.03;phosphorylated Akt(p-Akt)were 0.78±0.06,0.53±0.04,0.46±0.05 and 0.42±0.03.Compared with the blank group,the above indexes in the experimental-L,-M,-H groups were statistically significant(P＜0.05 or P＜0.01).Conclusion Scutellarin can inhibit the proliferation,metastatic ability and invasion of endometrial carcinoma Ishikawa cells and promote apoptosis by regulating PI3K/Akt signaling pathway.

Objective To evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

Objective:To identify additional loci associated with depression and the hippocampus (HIP) through genome-wide association study.Methods:The depression-related genome-wide association study (GWAS) meta summary data was downloaded from the official website of the Psychiatric Genomics Consortium, which had involved 170 756 cases and 329 443 controls. The left and right hippocampal volume GWAS data sets were downloaded from the UK Biobank, which involved 33 224 participants. The conditional false discovery rate (condFDR) was used to identify novel genetic loci for depression and left and right hippocampal volumes, and a conjunctional false discovery rate (conjFDR) was used to evaluate the enrichment of pleiotropic loci between depression and left and right hippocampal volumes.Results:Respectively, 7, 13, and 12 new loci have been associated with depression, left hippocampal volume and right hippocampal volume, with a significant threshold of condFDR < 0.01. A site of rs1267073 locus was found to be shared by the depression and right hippocampal volume with a threshold of conjFDR < 0.01.Conclusion:Above findings have provided more insights into the genetic mechanisms underlying the volume of hippocampus and the risk for depression. The results may also provide evidence for future clinical trials for treating depression.

Extracellular vesicles(EVs)are nano-sized bilayer vesicles that are shed or secreted by virtually every cell type.A variety of biomolecules,including proteins,lipids,coding and non-coding RNAs,and mitochondrial DNA,can be selectively encapsulated into EVs and delivered to nearby and distant recipient cells,leading to alterations in the recipient cells,suggesting that EVs play an important role in intercellular communication.EVs play effective roles in physiology and pathology and could be used as diagnostic and therapeutic tools.At present,although the mechanisms of exosome biogenesis and secretion in donor cells are well understood,the molecular mechanism of EV recognition and uptake by recipient cells is still unclear.This review summarizes the current understanding of the molecular mechanisms of EVs'biological journey in recipient cells,from recognition to uptake and cargo release.Furthermore,we highlight how EVs escape endolysosomal degradation after uptake and thus release cargo,which is crucial for studies applying EVs as drug-targeted delivery vehicles.Knowledge of the cellular processes that govern EV uptake is important to shed light on the functions of EVs as well as on related clinical applications.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.