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Objective:To analyze the change of differential genes and signaling pathways in high glucose induced BV2 cells, and to explore the mechanism of transgelin-2 (TAGLN2) regulating cellular inflammatory response and metabolic process.Methods:An experimental study. The cultured BV2 cells were divided into mannitol treatment (Man) group, glucose treatment (Glu) group, overexpression control Glu treatment (Con) group, overexpression TAGLN2 Glu treatment group, silence control Glu treatment (shCon Glu) group, and silence TAGLN2 Glu treatment (shTAGLN2 Glu) group. Cells in the Man group were cultured in modified Eagle high glucose medium (DMEM) containing 25 mmol/L mannitol and 25 mmol/L glucose, cells in other groups (Glu group, Con Glu group, TAGLN2 Glu group, shCon Glu group and shTAGLN2 Glu group) were cultured in DMEM medium containing 50 mmol/L glucose. After 24 hours of cells culture, transcriptome sequencing of cells in each group were performed using high-throughput sequencing technology, and significantly differentially expressed genes (DEG) were screened. |log 2 (fold change)|≥1 and P≤0.05 were adopted as criteria to screen for DEG. Gene Ontology (GO) function enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and protein-protein interaction network analysis were performed. Real-time polymerase chain reaction (RT-PCR) was used to detect the relative expression level of DEG mRNA. The data between groups were compared by independent sample t-test. Results:When compared with Man group, a total of 517 differentially expressed genes were screened in Glu group, which including 277 up-regulated genes and 240 down-regulated genes. KEGG pathway enrichment analysis showed that the up-regulated genes were significantly enriched in immune system processes such as nuclear factor (NF)-κB signal pathway, Jak-signal transducers and activators of transcription (STAT) signal pathway, while down-regulated genes were significantly enriched in glycosaminoglycan degradation and glyceride metabolic pathway. Compared with Con Glu group, a total of 480 DEG were screened in TAGLN2 Glu group, among which 147 up-regulated and 333 down-regulated genes were detected. Up-regulated genes were significantly enriched in the metabolic processes of fatty acid, glyceride and pyruvate, while down-regulated genes were significantly enriched in immune system processes such as NF-κB signal pathway, Jak-STAT signal pathway and tumor necrosis factor (TNF) signal pathway. Compared with shCon Glu group, a total of 582 DEG were screened in shTAGLN2 Glu group, among which 423 up-regulated and 159 down-regulated genes were detected. Up-regulated DEG were significantly enriched in immune system processes such as TNF signal pathway and chemokine signal pathway, while down-regulated DEG were significantly enriched in pattern recognition receptor signal pathway. RT-PCR results showed that the relative expression levels of DEG mRNA Card11 ( t=13.530), Icos ( t=3.482), Chst3 ( t=6.949), Kynu ( t=5.399), interleukin (IL)-1β ( t=2.960), TNF-α ( t=5.800), IL-6 ( t=3.130), interferon-γ ( t=7.690) and IL-17 ( t=6.530) in the TAGLN2 Glu treatment group were decreased significantly compared with Con Glu group, and the difference was statistically significant. Conclusion:TAGLN2 can inhibit glucose induced microglia inflammation by NF-κB and Jak-STAT signaling pathways, Card11, Icos, Chst3 and Kynu play an important role in the anti-inflammatory process of TAGLN2.
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Objective:To analyze differentially expressed genes (DEGs) and the changes of signal pathways in human retinal pigment epithelium cells (ARPE-19) under hypoxic and normoxic conditions and to explore the biological mechanism of hypoxia-induced ARPE-19 cell damage via transcriptome sequencing (RNA-seq) and bioinformatics technology.Methods:The ARPE-19 cells were divided into the hypoxia treatment group and the normoxia control group treated with 1% and 21% O 2 by volume for 8, 24, 48, 72 hours, respectively.The relative expression levels of vascular endothelial growth factor (VEGF) and hypoxia-inducible factor-1α (HIF-1α) mRNA were detected with real-time fluorescent quantitative PCR at different time points.RNA-seq and bioinformatics analysis were performed at 8 hours and 24 hours after hypoxia and normoxia treatment.DEGs were screened out under the conditions of |log 2FC|≥1 and P≤0.05.Then the cluster heat map analysis, Gene Ontology (GO) functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and protein-protein interaction network analysis were also carried out.Real-time fluorescent quantitative PCR was employed at 24 hours after hypoxia to detect the relative mRNA expression of genes that might be related to hypoxia in DEGs.Cell viability kit was used to verify and compare the damage effect of hypoxia on ARPE-19 cells at different time points between the two groups. Results:The relative mRNA expression levels of VEGF at 8, 24, 48 and 72 hours after hypoxia treatment and the relative HIF-1α mRNA expression levels at 8, 24 and 48 hours after hypoxia treatment were significantly higher than those of the normoxia control group (all at P<0.05). There were large differences in the mRNA expression levels at 8-hour and 24-hour treatment between the two groups.A total of 62 significant DEGs were screened between the hypoxia treatment group and the normoxia control group after 8-hour hypoxia treatment, among which 45 genes were significantly up-regulated and 17 genes were significantly down-regulated.A total of 255 significant DEGs were screened out between the hypoxia treatment group and the normoxia control group after 24-hour hypoxia treatment, among which 228 genes were significantly up-regulated and 27 genes were significantly down-regulated.The GO functional analysis of DEGs was mainly enriched in processes such as protein degradation, nucleotide biosynthesis, and material transport.KEGG pathway analysis was mainly enriched in PI3K-Akt, cGMP-PKG, and other signaling pathways closely related to metabolism, cell cycle, cell growth, and apoptosis.The core genes HPCA, MT3 and NOS3 were found by protein-protein interaction network analysis.Real-time fluorescent quantitative PCR test results showed that after 24-hour hypoxia treatment, the mRNA expression levels of hypoxia related genes DEPP1, NPPB, PDZK1, HILPDA, TCEA3, NDRG1 and RORC in ARPE-19 cells were significantly increased and the mRNA expression levels of TFRC and NQO1 were significantly decreased (all at P<0.05). The cell morphology was normal and the growth state was good without dead cells after 8-hour and 24-hour hypoxia treatment in ARPE-19 cells.There were dead cells after 48-hour hypoxia treatment, and the number of dead cells was increased at 72 hours after hypoxia treatment. Conclusions:The PI3K-Akt and cGMP-PKG signaling pathways related to metabolism may be involved in hypoxia-induced injury of ARPE-19 cells.Core genes of HPCA, MT3 and NOS3 can be used as functional target genes and play key roles in hypoxia response of cells.
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Objective:To analyze the early changes of gene expression levels and signaling pathways in 661W cell line under hypoxic conditions and to find potential functional target genes.Methods:The cultured mouse 661W cells were divided into hypoxia treatment group and normoxia control group. Cells in the hypoxia treatment group were cultured in a three-gas incubator with volume fraction of 1% and 5% CO 2 at 37 ℃. Cells in the normoxia control group were cultured in an incubator at 37 ℃ with volume fraction of 5% CO 2. High-throughput sequencing technology was used to sequence the transcriptome of 661W cell treated with hypoxia and normoxia for 4 hours to screen for differentially expressed genes (DEG). Clustering heat map analysis, gene ontology (GO) functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and protein-protein interaction network (PPI) analysis were performed. The reverse transcription-polymerase chain reaction (RT-PCR) was used to verify the accuracy of the sequencing results. Results:A total of 506 differentially expressed genes were screened, including 459 up-regulated genes and 47 down-regulated genes. GO functional enrichment analysis showed that the main biological processes of DEG were the cell's response to hypoxia, glycolysis, negative regulation of cell proliferation and apoptosis. hypoxia inducible factor (HIF)-1α pathway, glycolysis, Forkhead box O (FoxO) pathway, Insulin signaling pathway and Adenosine 5′-monophosphate-activated protein kinase (AMPK) pathway were involved in the above process. PPI analysis results showed that hub genes related to hypoxia were Aldoa, Aldoc, Gpi1, Hk2, Hk1, Pfkl, Pfkp, Vhl, Fbxo10 and Fbxo27. The RT-PCR results showed that the relative expression levels of 15 DEG mRNA in the hypoxic treatment group were higher than that of the normoxic control group, and the difference was statistically significant ( P<0.05). The mRNA expression levels of N-myc downstream-regulated gene-1 ( Ndrg1 ), Mt1, and vascular endothelial growth factor A ( VEGFA) were time-dependent on hypoxia. Conclusions:Under hypoxia, DEG is mainly related to glucose metabolism, cell response to hypoxia, regulation of proliferation and apoptosis. HIF-1α pathway, glycolysis, FoxO pathway and AMPK pathway are involved in the early changes of 661W cells under hypoxia. Aldoa, Aldoc, Gpi1, Hk2, Hk1, Pfkl, Pfkp, Vhl, Fbxo10, Fbxo27 may play key roles in the response of 661W cells to hypoxia. Ndrg1, Mt1 and VEGFA could be potential functional target genes for the study of ischemia and hypoxia-related fundus diseases.
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Objective To explore the effects of the interfacial debonding caused by water environment in the mouth and the interfacial defects between the crown and cement on stress distributions in all-ceramic crowns. Methods The three-dimensional solid model of lithium disilicate CAD/CAM crowns for the first mandibular molar was established. Seven debonding states between inferior surface of the crown and top surface of the cement (Stage 1-7) as well as two interfacial defects (Case I and II) were defined in finite element software ABAQUS. The bottom of nine models was completely constrained. For stress calculation, the 600 N vertical load was applied at occlusal surface via an analytical rigid hemisphere with the diameter of 5 mm. Results Under occlusal vertical load, the stress on interior of the crown and top surface of the cement was mainly distributed at the boundary of the debonding areas and margin of the defects. The first principle stress on interior of the crown did not exceed its ultimate tensile strength, but the maximum tensile stress of the cement exceeded its ultimate tensile strength, leading to cohesive failure in the cement. Conclusions The axial wall played a critical role in maintaining the principal tensile stress of the crown at a lower level. The defects at bonding interface between the crown and cement had a more significantly impact on load capacity of the crown than the increase in debonding areas. In order to improve load bearing capacities of all-ceramic crowns, attention should be paid to avoid defects in clinical prosthodontic practices.
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Objective To explore the effects of the interfacial debonding caused by water environment in the mouth and the interfacial defects between the crown and cement on stress distributions in all-ceramic crowns. Methods The three-dimensional solid model of lithium disilicate CAD/CAM crowns for the first mandibular molar was established. Seven debonding states between inferior surface of the crown and top surface of the cement (Stage 1-7) as well as two interfacial defects (Case I and II) were defined in finite element software ABAQUS. The bottom of nine models was completely constrained. For stress calculation, the 600 N vertical load was applied at occlusal surface via an analytical rigid hemisphere with the diameter of 5 mm. Results Under occlusal vertical load, the stress on interior of the crown and top surface of the cement was mainly distributed at the boundary of the debonding areas and margin of the defects. The first principle stress on interior of the crown did not exceed its ultimate tensile strength, but the maximum tensile stress of the cement exceeded its ultimate tensile strength, leading to cohesive failure in the cement. Conclusions The axial wall played a critical role in maintaining the principal tensile stress of the crown at a lower level. The defects at bonding interface between the crown and cement had a more significantly impact on load capacity of the crown than the increase in debonding areas. In order to improve load bearing capacities of all-ceramic crowns, attention should be paid to avoid defects in clinical prosthodontic practices.