Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0004153 (atherosclerosis)
 77,401 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Atherosclerotic cardiovascular disease is considered as the leading cause of mortality and morbidity worldwide. Accumulating evidence supports an important role for long noncoding RNA (lncRNA) in the pathogenesis of atherosclerosis. Nevertheless, the role of lncRNA in atherosclerosis-associated vascular dysfunction and the underlying mechanism remain elusive. Here, using microarray analysis, we identified a novel lncRNA RP11-714G18.1 with significant reduced expression in human advanced atherosclerotic plaque tissues. We demonstrated in both human vascular smooth muscle cells (VSMCs) and endothelial cells (ECs) that RP11-714G18.1 impaired cell migration, reduced the adhesion of ECs to monocytes, suppressed the neoangiogenesis, decreased apoptosis of VSMCs and promoted nitric oxide production. Mechanistically, RP11-714G18.1 could directly bind to its nearby gene LRP2BP and increased the expression of LRP2BP. Moreover, we showed that RP11-714G18.1 impaired cell migration through LRP2BP-mediated downregulation of matrix metalloproteinase (MMP)1 in both ECs and VSMCs. In atherosclerotic patients, the serum levels of LRP2BP were positively correlated with high-density lipoprotein cholesterol, but negatively correlated with cardiac troponin I. Our study suggests that RP11-714G18.1 may play an athero-protective role by inhibiting vascular cell migration via RP11-714G18.1/LRP2BP/MMP1 signaling pathway, and targeting the pathway may provide new therapeutic approaches for atherosclerosis.
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PMID:LncRNA-RP11-714G18.1 suppresses vascular cell migration via directly targeting LRP2BP. 2936 63

Atherosclerosis is one of the most common type of cardiovascular disease and the prime cause of mortality in the aging population worldwide. However, the detail mechanisms and special biomarkers of atherosclerosis remain to be further investigated. Lately, long non-coding RNAs (lncRNAs) has attracted much more attention than other types of ncRNAs. In our work, we found and confirmed differently expressed lncRNAs and mRNAs in atherosclerosis by analyzing GSE28829. We performed the weighted gene co-expression network analysis (WGCNA) by analyzing GSE40231 to confirm highly correlated genes. Gene Ontology (GO) analysis were utilized to assess the potential functions of differential expressed lncRNAs in atherosclerosis. Co-expression networks were also constructed to confirm hub lncRNAs in atherosclerosis. A total of 5784 mRNAs and 654 lncRNAs were found to be dysregulated in the progression of atherosclerosis. A total of 15 lncRNA-mRNA co-expression modules were identified in this study based on WGCNA analysis. Moreover, a few lncRNAs, such as ZFAS1, LOC100506730, LOC100506691, DOCK9-AS2, RP11-6I2.3, LOC100130219, were confirmed as important lncRNAs in atherosclerosis. Taken together, bioinformatics analysis revealed these lncRNAs were involved in regulating the leukotriene biosynthetic process, gene expression, actin filament organization, t-circle formation, antigen processing, and presentation, interferon-gamma-mediated signaling pathway, and activation of GTPase activity. We believed that this study would provide potential novel therapeutic and prognostic targets for atherosclerosis.
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PMID:Identification of Key lncRNAs Associated With Atherosclerosis Progression Based on Public Datasets. 3087 7

Atherosclerosis and its comorbidities are the major contributors to the global burden of death worldwide. Lower extremities arterial disease (LEAD) is a common manifestation of atherosclerotic disease of arteries of lower extremities. MicroRNAs belong to epigenetic factors that regulate gene expression and have not yet been extensively studied in LEAD. We aimed to indicate the most promising microRNA and gene expression signatures of LEAD, to identify interactions between microRNA and genes and to describe potential effect of modulated gene expression. High-throughput sequencing was employed to examine microRNAome and transcriptome of peripheral blood mononuclear cells of patients with LEAD, in relation to controls. Statistical significance of microRNAs and genes analysis results was evaluated using DESeq2 and uninformative variable elimination by partial least squares methods. Altered expression of 26 microRNAs (hsa-let-7f-1-3p, hsa-miR-34a-5p, -122-5p, -3591-3p, -34a-3p, -1261, -21-5p, -15a-5p, -548d-5p, -34b-5p, -424-3p, -548aa, -548t-3p, -4423-3p, -196a-5p, -330-3p, -766-3p, -30e-3p, -125b-5p, -1301-3p, -3184-5p, -423-3p, -339-3p, -138-5p, -99a-3p, and -6087) and 14 genes (AK5, CD248, CDS2, FAM129A, FBLN2, GGT1, NOG, NRCAM, PDE7A, RP11-545E17.3, SLC12A2, SLC16A10, SLC4A10, and ZSCAN18) were the most significantly differentially expressed in LEAD group compared to controls. Discriminative value of revealed microRNAs and genes were confirmed by receiver operating characteristic analysis. Dysregulations of 26 microRNAs and 14 genes were used to propose novel biomarkers of LEAD. Regulatory interactions between biomarker microRNAs and genes were studied in silico using R multiMiR package. Functional analysis of genes modulated by proposed biomarker microRNAs was performed using DAVID 6.8 tools and revealed terms closely related to atherosclerosis and, interestingly, the processes involving nervous system. The study provides new insight into microRNA-dependent regulatory mechanisms involved in pathology of LEAD. Proposed microRNA and gene biomarkers of LEAD may provide new diagnostic and therapeutic opportunities.
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PMID:Dysregulation of MicroRNA Regulatory Network in Lower Extremities Arterial Disease. 3182 90