Objective To investigate the ameliorative effect and potential mechanism of Cyclocaryae Paliuri Folium in sodium palmitate-induced lipid deposition in HepG2 cells.Methods The effect of sodium palmitate and lyophilized powder of Cyclocaryae Paliuri Folium on the viability of HepG2 cells was determined by the CCK-8 method to determine the subsequent dosage administered.The HepG2 cells were divided into blank group,model group,pioglitazone group and Cyclocaryae Paliuri Folium low-,medium-and high-dosage group,the lipid deposition model of HepG2 cells was established using 350 μmol/L sodium palmitate,the medication group were given pioglitazone and low-,medium-and high-dosage of Cyclocaryae Paliuri Folium(100,250,500 μg/mL)for 12 h respectively.The intracellular lipid deposition was observed by Nile red staining and BODIPY493/503 fluorescent probe staining,the content of TNF-α and IL-6 in supernatant of cell culture medium were detected by ELISA,Western blot was used to detect PI3K,Akt,sterol-regulatory element binding protein-1(SREBP-1),fatty acid synthase(FAS),Bcl-2,Bax protein expression,qPCR was used to detect the mRNA expression of adipose triglyceride lipase(ATGL)and CD36.Results Compared with the blank group,the lipid deposition of HepG2 cells in the model group increased,TNF-α and IL-6 contents in the supernatant of cell culture medium significantly increased(P<0.01),the protein expressions of p-PI3K,p-Akt,SREBP-1,FAS and Bax in cells significantly increased,while the protein expression of Bcl-2 significantly decreased(P<0.01),the mRNA expression of ATGL significantly decreased,and the mRNA expression of CD36 significantly increased(P<0.01).Compared with the model group,the intracellular lipid deposition of the pioglitazone group and Cyclocaryae Paliuri Folium groups improved to varying degrees,the contents of TNF-α and IL-6 in the cell supernatant decreased,the expressions of p-PI3K,p-Akt,SREBP-1,FAS and Bax proteins decreased,the expression of Bcl-2 protein increased,the expression of ATGL mRNA increased,and the expression of CD36 mRNA decreased,with statistical significance in pioglitazone group and Cyclocaryae Paliuri Folium high-dosage group(P<0.05,P<0.01).Conclusion Cyclocaryae Paliuri Folium may ameliorate sodium palmitate-induced lipid deposition in HepG2 model cells by modulating the PI3K/Akt/SREBP-1/FAS signaling pathway and affecting triacylglycerol metabolism.

Objective To investigate the ameliorative effect and potential mechanism of Cyclocaryae Paliuri Folium in sodium palmitate-induced lipid deposition in HepG2 cells.Methods The effect of sodium palmitate and lyophilized powder of Cyclocaryae Paliuri Folium on the viability of HepG2 cells was determined by the CCK-8 method to determine the subsequent dosage administered.The HepG2 cells were divided into blank group,model group,pioglitazone group and Cyclocaryae Paliuri Folium low-,medium-and high-dosage group,the lipid deposition model of HepG2 cells was established using 350 μmol/L sodium palmitate,the medication group were given pioglitazone and low-,medium-and high-dosage of Cyclocaryae Paliuri Folium(100,250,500 μg/mL)for 12 h respectively.The intracellular lipid deposition was observed by Nile red staining and BODIPY493/503 fluorescent probe staining,the content of TNF-α and IL-6 in supernatant of cell culture medium were detected by ELISA,Western blot was used to detect PI3K,Akt,sterol-regulatory element binding protein-1(SREBP-1),fatty acid synthase(FAS),Bcl-2,Bax protein expression,qPCR was used to detect the mRNA expression of adipose triglyceride lipase(ATGL)and CD36.Results Compared with the blank group,the lipid deposition of HepG2 cells in the model group increased,TNF-α and IL-6 contents in the supernatant of cell culture medium significantly increased(P<0.01),the protein expressions of p-PI3K,p-Akt,SREBP-1,FAS and Bax in cells significantly increased,while the protein expression of Bcl-2 significantly decreased(P<0.01),the mRNA expression of ATGL significantly decreased,and the mRNA expression of CD36 significantly increased(P<0.01).Compared with the model group,the intracellular lipid deposition of the pioglitazone group and Cyclocaryae Paliuri Folium groups improved to varying degrees,the contents of TNF-α and IL-6 in the cell supernatant decreased,the expressions of p-PI3K,p-Akt,SREBP-1,FAS and Bax proteins decreased,the expression of Bcl-2 protein increased,the expression of ATGL mRNA increased,and the expression of CD36 mRNA decreased,with statistical significance in pioglitazone group and Cyclocaryae Paliuri Folium high-dosage group(P<0.05,P<0.01).Conclusion Cyclocaryae Paliuri Folium may ameliorate sodium palmitate-induced lipid deposition in HepG2 model cells by modulating the PI3K/Akt/SREBP-1/FAS signaling pathway and affecting triacylglycerol metabolism.

Objective To investigate the role of preoperative peripheral blood neutrophil to lymphocyte ratio (NLR),platelet to lymphocyte ratio (PLR),prognostic nutritional index (PNI) in the prognosis of patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) after radical operation.Methods This is a retrospective study,involving 426 surgically resected hepatitis B related hepatocellular carcinoma cases in a single center from 2003 to 2012.Results Kaplan-Meier analysis showed patients in NLR ≤ 1.62 group achieve higher rate of recurrence-free and overall survival than that in the NLR ＞ 1.62 group,the difference was statistically significant (P ＜ 0.005);Also PNI ＞ 49.42 group showed higher rate of overall survival significantly than PNI≤49.42 group (P ＜ 0.005).The results of Cox regression multivariate analysis further suggested that both NLR ＞ 1.62 (HR 1.74,P =0.007) and PNI ≤49.42 (HR 0.70,P =0.021) were independent risk factors for overall survival,NLR ＞ 1.62 (HR 1.45,P =0.03) was also an independent risk factor for recurrence-free survival.Conclusion The preoperative NLR and PNI may be independent risk factors for prognosis of patients with HBV-related HCC after radical operation.

Predicting protein-coding genes still remains a significant challenge. Although a variety of computational programs that use commonly machine learning methods have emerged, the accuracy of predictions remains a low level when implementing in large genomic sequences. Moreover, computational gene finding in newly sequenced genomes is especially a difficult task due to the absence of a training set of abundant validated genes. Here we present a new gene-finding program, SCGPred, to improve the accuracy of prediction by combining multiple sources of evidence. SCGPred can perform both supervised method in previously well-studied genomes and unsupervised one in novel genomes. By testing with datasets composed of large DNA sequences from human and a novel genome of Ustilago maydi, SCG-Pred gains a significant improvement in comparison to the popular ab initio gene predictors. We also demonstrate that SCGPred can significantly improve prediction in novel genomes by combining several foreign gene finders with similarity alignments, which is superior to other unsupervised methods. Therefore, SCG-Pred can serve as an alternative gene-finding tool for newly sequenced eukaryotic genomes. The program is freely available at http://bio.scu.edu.cn/SCGPred/.
Algorithms ; Chromosome Mapping ; methods ; Computational Biology ; methods ; Exons ; genetics ; Genes, Fungal ; genetics ; Genome, Fungal ; Genome, Human ; Humans ; Reproducibility of Results ; Software ; Ustilago ; genetics

Predicting protein-coding genes still remains a significant challenge. Although a variety of computational programs that use commonly machine learning methods have emerged, the accuracy of predictions remains a low level when implementing in large genomic sequences. Moreover, computational gene finding in newly sequenced genomes is especially a difficult task due to the absence of a training set of abundant validated genes. Here we present a new gene-finding program, SCGPred,to improve the accuracy of prediction by combining multiple sources of evidence.SCGPred can perform both supervised method in previously well-studied genomes and unsupervised one in novel genomes. By testing with datasets composed of large DNA sequences from human and a novel genome of Ustilago maydi, SCGPred gains a significant improvement in comparison to the popular ab initio gene predictors. We also demonstrate that SCGPred can significantly improve prediction in novel genomes by combining several foreign gene finders with similarity alignments, which is superior to other unsupervised methods. Therefore, SCGPred can serve as an alternative gene-finding tool for newly sequenced eukaryotic genomes. The program is freely available at http://bio.scu.edu.cn/SCGPred/.