Subject(s)
Infectious Disease Transmission, Patient-to-Professional , Influenza A Virus, H7N9 Subtype/genetics , Influenza, Human/transmission , Adult , China , Cross Infection , Hospitals, University , Humans , Influenza A Virus, H7N9 Subtype/isolation & purification , Influenza, Human/virology , Male , Phylogeny , Real-Time Polymerase Chain ReactionABSTRACT
OBJECTIVE: Atherosclerosis (AS) is the primary cause of deadly cardio-cerebro vascular diseases globally. This study aims to explore the key differentially expressed genes (DEGs), potentially serving as predictive biomarkers for AS. METHODS: Microarray datasets were retrieved from the GEO database for DEGs and DE-miRNAs identification. Then biological function of DEGs were elucidated based on gene ontology (GO) and KEGG pathway enrichment analysis. The protein-protein interaction (PPI) network and DEGs-DE-miRNAs network were constructed, with emphasis on hub DEGs selection and their interconnections. Additionally, receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic precision of hub DEGs for AS. More importantly, an AS Syrian Golden hamster model was established to validate the expression levels of hub DEGs in AS. RESULTS: A total of 203 DEGs and 10 DE-miRNAs were screened, with six genes were chosen as hub DEGs. These DEGs were significantly enriched in AS-related biological processes and pathways, such as immune and inflammatory response, cellular response to IL-1 and TNF, positive regulation of angiogenesis, Type I diabetes mellitus, Cytokine-cytokine receptor interaction, TLR signaling pathway. Also, these DEGs and DE-miRNAs formed a closely-interacted DE-miRNAs - DEGs - KEGG pathway network. Besides, hub DEGs presented promising diagnostic potential for AS (AUC: 0.781 â¼ 0.887). In addition, the protein expression levels of TNF-α, CXCL8, CCL4, IL-1ß, CCL3 and CCR8 were significantly increased in AS group Syrian Golden hamsters. CONCLUSION: The identified candidate genes TNF, CXCL8, CCL4, IL1B, CCL3 and CCR8 may have the potential to serve as prognostic biomarker in diagnosing AS.
Subject(s)
Atherosclerosis , Biomarkers , Gene Expression Profiling , Gene Regulatory Networks , Protein Interaction Maps , Animals , Atherosclerosis/genetics , Atherosclerosis/metabolism , Protein Interaction Maps/genetics , Biomarkers/metabolism , Gene Expression Profiling/methods , Humans , Mesocricetus , Gene Ontology , MicroRNAs/genetics , Male , Cricetinae , Gene Expression RegulationABSTRACT
Activated hepatic stellate cells (HSCs) serve key roles in hepatic fibrosis by producing excessive extracellular matrix (ECM) components. Lipopolysaccharide (LPS) has been found to be associated with hepatic fibrogenesis through direct interactions with HSCs. Recently, the fibroblast growth factor receptor 1 (FGFR1) signalling system was identified as a key player in the process of liver fibrosis. In the present study it was evaluated whether FGFR1 mediated LPS-induced HSCs activation. In cultured cells, FGFR1 was inhibited by either siRNA silencing or by a small-molecule inhibitor in LPS-stimulated HSCs. The blockade of FGFR1 decreased LPS-induced nuclear factor-κB (NF-κB) activation, inflammatory cytokine release, fibrosis, and cell proliferation in HSCs. It was further indicated that LPS triggered FGFR1 phosphorylation via TLR4/c-Src. These findings confirmed the detrimental effect of FGFR1 activation in the pathogenesis of LPS-related HSC activation and revealed that FGFR1 may be an ideal therapeutic target for LPS-induced liver fibrosis.