Long Noncoding RNA–MicroRNA Pathway Controlling
            <i>Nuclear Factor IA</i>
            , A Novel Atherosclerosis Modifier Gene

Holdt, Lesca M.; Teupser, Daniel

doi:10.1161/atvbaha.114.304485

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…Multiple factors such as smoking and high cholesterol diet can predispose people to develop atherosclerosis [ 69 , 70 ]. Nuclear factor IA ( NFIA ) is a well-known gene that regulates cholesterol homeostasis in the body [ 71 ]. It was shown that lentivirus-mediated overexpression of NFIA in apolipoprotein E–deficient mice increased circulation of high-density lipoprotein, reduced circulation of low-density lipoprotein and very-low-density lipoprotein, decreased circulation of inflammatory cytokines including interleukin-1β, interleukin-6, tumor necrosis factor-α, and C-reactive protein, enhanced reverse cholesterol transport, and promoted regression of atherosclerosis [ 72 ].…”

Section: Interaction Between Long Noncoding Rnas and Micrornas In mentioning

confidence: 99%

Crosstalk between Long Noncoding RNAs and MicroRNAs in Health and Disease

Bayoumi

Sayed

Broskova

et al. 2016

IJMS

210

145

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Abstract:Protein-coding genes account for only a small part of the human genome; in fact, the vast majority of transcripts are comprised of non-coding RNAs (ncRNAs) including long ncRNAs (lncRNAs) and small ncRNAs, microRNAs (miRs). Accumulating evidence indicates that ncRNAs could play critical roles in regulating many cellular processes which are often implicated in health and disease. For example, ncRNAs are aberrantly expressed in cancers, heart diseases, and many other diseases. LncRNAs and miRs are therefore novel and promising targets to be developed into biomarkers for diagnosis and prognosis as well as treatment options. The interaction between lncRNAs and miRs as well as its pathophysiological significance have recently been reported. Mechanistically, it is believed that lncRNAs exert "sponge-like" effects on various miRs, which subsequently inhibits miR-mediated functions. This crosstalk between two types of ncRNAs frequently contributes to the pathogenesis of the disease. In this review, we provide a summary of the recent studies highlighting the interaction between these ncRNAs and the effects of this interaction on disease pathogenesis and regulation.

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Section: Interaction Between Long Noncoding Rnas and Micrornas In mentioning

confidence: 99%

Crosstalk between Long Noncoding RNAs and MicroRNAs in Health and Disease

Bayoumi

Sayed

Broskova

et al. 2016

IJMS

210

145

View full text Add to dashboard Cite

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“…Signaling pathways include immune system [54], metabolism of lipids [55], phospholipid metabolism [56] and disease [57] plays an important role in CAD. DOCK4 [58], CEACAM1 [59], STAT1 [60], ARG1 [61], TLR4 [62], ADAM9 [63], VNN1 [64], ABCA1 [65], STAT2 [66], TLR5 [67], PTGS2 [68], RNF213 [69], ZDHHC17 [70], JAK2 [71], TLR8 [72], NOTCH2 [73], PDGFC (platelet derived growth factor C) [74], CMPK2 [75], TLR2 [76], CYP1B1 [77], CCR1 [78], HDAC9 [79], IL1RN [80], GCH1 [81], LYST (lysosomal trafficking regulator) [82], PELI1 [83], EGR1 [84], SNX10 [85], CA2 [86], ZEB2 [87], HIF1A [88], PLA2G7 [89], CCR2 [90], GAB1 [91], IRAK3 [92], LDLR (low density lipoprotein receptor) [93], TLR6 [94], SIRT1 [95], NOD2 [96], ATP10D [97], ELOVL6 [98], VCAN (versican) [99], TET2 [100], TET3 [101], ZBTB20 [102], HS3ST1 [103], PF4 [104], DNAJC2 [105], NFIA (nuclear factor I A) [106], CCR7 [107], PRDX2 [108], ADK (adenosine kinase) [109], TCF7 [110], LGALS3 [111], OLFM2 [112], HDAC11 [113] and ARPC1B [114] are significantly related to the atherosclerosis. Studies have revealed that KCNJ2 [115], TLR4 [116], JAK2 [117], TLR2 [118], EGR1 [119], GAB1 [120], ZBTB11 [121], BIN1 [122], TCF4 [123], PPP1R13L [124], TRPM4 [125], LGALS3 [126] and SNTA1 [127] plays a key role in cardiac arrhythmia.…”

Section: Discussionmentioning

confidence: 99%

Identification of novel prognostic targets in coronary artery disease and related complications using bioinformatics and next generation sequencing data analysis

Vastrad¹,

Vastrad²

2023

Preprint

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Coronary artery disease (CAD) is the most common cardiovascular disorder and the leading cause of heart related deaths in world. Increasing molecular targets have been discovered for CAD and CAD - related complications prognosis and therapy. However, there is still an urgent need to identify novel biomarkers. Therefore, we evaluated biomarkers that might help the diagnosis and treatment of CAD and CAD related complications. We searched next generation sequencing (NGS) dataset (GSE202625) and identified differentially expressed genes (DEGs) by comparing CAD and normal control samples using DESeq2. Gene ontology (GO) and pathway enrichment analyses of the DEGs were performed using the g:Profiler online database. The protein protein interaction (PPI) network was plotted with IMEx interactome and visualized using Cytoscape. Module analysis of the PPI network was done using PEWCC1. MiRNA hub gene regulatory network and TF hub gene regulatory network analysis was performed to identify the hub genes, miRNAs and TFs. Receiver operating characteristic (ROC) curve analysis was used to predict the diagnostic effectiveness of the hub genes. A total of 118 DEGs (479 up regulated genes and 479 down regulated genes) were detected. The GO enrichment analysis indicated that the DEGs most significantly enriched in cellular response to stimulus and biosynthetic process. The REACTOME pathway enrichment analysis revealed that the DEGs were most significantly enriched in immune system and eukaryotic translation elongation. PPI network, modules, miRNA hub gene regulatory network and TF hub gene regulatory network analysis demonstrated that EGR1, SIRT1, STAT1, LRRK2, HIF1A, CSNK2B, RPS3, RPS2, RPS4X and HDAC11 were the hub genes. On the whole, the findings of this study enhance our understanding of the potential molecular mechanisms of CAD and CAD-related complications, and provide potential targets for further research.

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“…Besides, induced high miR‐382‐5p level might diminish the NFIA mRNA and protein . Further reports elucidated that NFIA could promote retrograde cholesterol transport (RCT), reduce the circulating levels of pro‐inflammatory cytokines and significantly improve plasma hyperlipidaemia . Transmembrane protein ATP‐binding cassette transporter A1 (ABCA1) takes part in the process of RCT.…”

Section: Inflammatory Diseases Induced By Dysregulation Of Lncrnas Anmentioning

confidence: 99%

“…104 Further reports elucidated that NFIA could promote retrograde cholesterol transport (RCT), reduce the circulating levels of pro-inflammatory cytokines and significantly improve plasma hyperlipidaemia. 105 Transmembrane protein ATP-binding cassette transporter A1 (ABCA1) takes part in the process of RCT. Human high-density lipoprotein (HDL) deficiencies, such as syndrome sterol deposits and premature atherosclerosis, are caused by ABCA1 mutations.…”

Section: Atherosclerosis and Cholesterol Transportmentioning

confidence: 99%

Long non‐coding RNA expressed in macrophage co‐varies with the inflammatory phenotype during macrophage development and polarization

Xie

Wang

Tian

et al. 2019

J Cellular Molecular Medi

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Advances in microarray, RNA‐seq and omics techniques, thousands of long non‐coding RNAs (lncRNAs) with unknown functions have been discovered. LncRNAs have presented a diverse perspective on gene regulation in diverse biological processes, especially in human immune response. Macrophages participate in the whole phase of immune inflammatory response. They are able to shape their phenotype and arouse extensive functional activation after receiving physiological and pathological stimuli. Emerging studies indicated that lncRNAs participated in the gene regulatory network during complex biological processes of macrophage, including macrophage‐induced inflammatory responses. Here, we reviewed the existing knowledges of lncRNAs in the processes of macrophage development and polarization, and their roles in several different inflammatory diseases. Specifically, we focused on how lncRNAs function in macrophage, which might help to discover some potential therapeutic targets and diagnostic biomarkers.

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Long Noncoding RNA–MicroRNA Pathway Controlling Nuclear Factor IA , A Novel Atherosclerosis Modifier Gene

Cited by 5 publications

References 9 publications

Crosstalk between Long Noncoding RNAs and MicroRNAs in Health and Disease

Crosstalk between Long Noncoding RNAs and MicroRNAs in Health and Disease

Identification of novel prognostic targets in coronary artery disease and related complications using bioinformatics and next generation sequencing data analysis

Long non‐coding RNA expressed in macrophage co‐varies with the inflammatory phenotype during macrophage development and polarization

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