Objectives:To investigate the predictors of left ventricular reverse remodeling(LVRR)and prognosis in dilated cardiomyopathy(DCM)patients with heart failure with reduced ejection fraction(HFrEF). Methods:A total of 480 patients with HFrEF were continuously recruited.The patients were divided into LVRR group(n=235)and without LVRR group(n=245).The clinical data of patients with and without LVRR were compared.At the same time,the incidence of LVRR and complex cardiovascular adverse events in patients with different SII tripartite groups was compared.The study population was stratified according to SII tertiles:the baseline tertiles of the SII(group 1:＜332.8[n=160],group 2:332.8-563.1[n=160],and group 3:＞563.1[n=160]).Composite cardiac events include heart failure re-hospitalization,fatal arrhythmias,and cardiac death.Logistic regression analysis was used to analyze the predictive factors of LVRR.The dose-response relationship between systemic imnune inflammation index(SII)and LVRR were evaluated by restricted cubic spline(RCS).Receiver operating characteristic curves,net reclassification index(NRI),integrated discrimination improvement(IDI)and Akaike information criterion(AIC)were drawn to assess the performances of predictors to predict LVRR and prognosis.The predictive efficacy of these predictors were compared with traditional biomarkers(N-terminal pro-brain natriuretic peptide[NTpro-BNP]and soluble growth stimulation expressed gene 2 protein[sST2]).The survival analysis was performed using the Kaplan-Meier method. Results:A total of 235(49.0%)patients experienced LVRR.The results of logistic regression analysis showed that baseline SII was an independent predictor of non-LVRR(OR=1.005,95%CI:1.004～1.007,P＜0.01).RCS showed a positive linear relationship between SII and non-LVRR(Pnonlinear=0.455).Compared with traditional biomarkers NT-proBNP and sST2,ROC,NRI,IDI and AIC results proved that SII had the best predictability regarding non-LVRR.All 480 patients completed the follow-up,there were 108(22.5%)composite cardiac events and 37(7.7%)all-cause deaths.Patients in the SII＞563.1 group had higher rate of composite cardiovascular events than those in the SII＜332.8 and SII 332.8 to 563.1 groups(43.1%vs.9.4%vs.15.0%,log-rank P＜0.01). Conclusions:This study indicates that increased SII at admission could predict non-LVRR in DCM related HFrEF patients and its predictive efficacy is better than traditional biomarkers.

Objective:To explore the expression of long non-coding RNA(lncRNA)ZIM2-AS1 in hepatocellular carcinoma(HCC)and its clinical significance as well as diagnostic value using the data obtained from the Cancer Genome Atlas(TCGA).Meth-ods:The transcriptome sequencing(RNA-seq)data and clinical information of 374 HCC tissues and 50 paired paracancerous tissues were gathered from the TCGA database,then the expression trends of ZIM2-AS1 in HCC and its correlation with clinicopathological features,prognosis,immune cell infiltration,as well as diagnostic value was inspected by bioinformatics analysis using relevant R packages.The expression of ZIM2-AS1 in human normal liver cell line and HCC cell lines was examined by qRT-PCR.Results:The ex-pression of ZIM2-AS1 was highly expressed in HCC tissues(P<0.001),and its expression level was significantly correlated with age,gender,N stage,histologic grade and AFP level(P all<0.05).The overall survival(OS)and disease specific survival(DSS)of patients with high ZIM2-AS1 expression were significantly shorter than those of patients with low expression(P<0.05),and ZIM2-AS1 was an in-dependent risk factor affecting OS.Immune cell infiltration analysis showed that ZIM2-AS1 was closely related to the infiltration of Th2 cells,CD56brightNK cells,follicular helper T cells(Tfh),neutrophils and plasmacytoid dendritic cells(pDC)(|Spearman's r|>0.1,P<0.05)in HCC.ROC curve analysis revealed that the expression level of ZIM2-AS1 possesse potential diagnostic value in HCC,N0 stage,histologic grade G1 and G2,OS and DSS(AUC all>0.50).qRT-PCR results showed that the expression level of ZIM2-AS1 in HCC cell lines was significantly higher than that in human normal liver cells(P all<0.05).Conclusion:The elevated expression of lncRNA ZIM2-AS1 is an independent risk factor for poor prognosis of HCC patient and has potential application value as a biomarker for HCC diagnosis,prognosis as well as tumor immune microenvironment assessment.

Hypoxia conditioning could increase the survival of transplanted neuronal progenitor cells (NPCs) in rats with cerebral ischemia but could also hinder neuronal differentiation partly by suppressing mitochondrial metabolism. In this work, the mitochondrial metabolism of hypoxia-conditioned NPCs (hcNPCs) was upregulated via the additional administration of resveratrol, an herbal compound, to resolve the limitation of hypoxia conditioning on neuronal differentiation. Resveratrol was first applied during the in vitro neuronal differentiation of hcNPCs and concurrently promoted the differentiation, synaptogenesis, and functional development of neurons derived from hcNPCs and restored the mitochondrial metabolism. Furthermore, this herbal compound was used as an adjuvant during hcNPC transplantation in a photothrombotic stroke rat model. Resveratrol promoted neuronal differentiation and increased the long-term survival of transplanted hcNPCs. 18-fluorine fluorodeoxyglucose positron emission tomography and rotarod test showed that resveratrol and hcNPC transplantation synergistically improved the neurological and metabolic recovery of stroke rats. In conclusion, resveratrol promoted the neuronal differentiation and therapeutic efficiency of hcNPCs in stroke rats via restoring mitochondrial metabolism. This work suggested a novel approach to promote the clinical translation of NPC transplantation therapy.
Animals ; Brain Ischemia/drug therapy* ; Cell Differentiation ; Hypoxia ; Neurons ; Rats ; Resveratrol/pharmacology*