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      Circulating Long Noncoding RNA LIPCAR Acts as a Novel Biomarker in Patients with ST-Segment Elevation Myocardial Infarction

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          Abstract

          Background

          Long noncoding RNAs (lncRNAs) recently have been implicated in the pathological processes of cardiovascular diseases. In this study, LncRNADisease database and PubMed database were used to screen myocardial infraction (MI)-related lncRNAs and to investigate the diagnostic role of lncRNAs in ST-segment elevation myocardial infraction (STEMI).

          Material/Methods

          Forty-six patients with STEMI and 40 healthy controls were included in the study. Venous blood samples acquired at different time points and the expression levels of lncRNAs in plasma were measured by qRT-PCR. In addition, other blood samples were collected before and after percutaneous coronary intervention (PCI). Correlation analysis and receiver operating characteristic (ROC) curve were used to assess the diagnosis value of the markers. All included patients were followed up for 12±1 months.

          Results

          Nine MI-related lncRNAs were selected from the database. The qRT-PCR results showed that the expression of hypoxia inducible factor 1A antisense RNA 2 (aHIF), member 1 opposite strand/antisense transcript 1 (KCNQ1OT1), and mitochondrial long noncoding RNA uc022bqs.1 (LIPCAR) were significantly increased in patients with STEMI compared to the control patients. The ROC curve showed that LIPCAR (AUC=0.782, 95% CI: 0.707–0.0.894) had better diagnostic accuracy. Moreover, correlation analysis indicated that LIPCAR were positively correlated with myocardial enzymes and negatively correlated with left ventricular ejection fraction. The level of LIPCAR in STEMI patients after PCI was lower ( P<0.05). Multivariate regression analysis indicated that higher levels of LIPCAR were independent predictors of major adverse cardiovascular events in patients with STEMI (HR=5.93; 95% CI, 1.46–9.77; P=0.001).

          Conclusions

          Highly expressed LIPCAR in plasma may serve as a warning sign for the diagnosis of STEMI.

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          Most cited references17

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          lncRNAs: insights into their function and mechanics in underlying disorders.

          Genomes of complex organisms are characterized by the pervasive expression of different types of noncoding RNAs (ncRNAs). lncRNAs constitute a large family of long—arbitrarily defined as being longer than 200 nucleotides—ncRNAs that are expressed throughout the cell and that include thousands of different species. While these new and enigmatic players in the complex transcriptional milieu are encoded by a significant proportion of the genome, their functions are mostly unknown at present. Existing examples suggest that lncRNAs have fulfilled a wide variety of regulatory roles at almost every stage of gene expression. These roles, which encompass signal, decoy, scaffold and guide capacities, derive from folded modular domains in lncRNAs. Early discoveries support a paradigm in which lncRNAs regulate transcription networks via chromatin modulation, but new functions are steadily emerging. Given the biochemical versatility of RNA, lncRNAs may be used for various tasks, including posttranscriptional processing. In addition, long intergenic ncRNAs (lincRNAs) are strongly enriched for trait-associated SNPs, which suggest a new mechanism by which intergenic trait-associated regions might function. Moreover, multiple lines of evidence increasingly link mutations and dysregulations of lncRNAs to diverse human diseases, especially disorders related to aging. In this article, we review the current state of the knowledge of the lncRNA field, discussing what is known about the genomic contexts, biological functions and mechanisms of action of these molecules. We highlight the growing evidence for the importance of lncRNAs in diverse human disorders and the indications that their dysregulations and mutations underlie some aging-related disorders. Finally, we consider the potential medical implications, and future potential in the application of lncRNAs as therapeutic targets and diagnostic markers.
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            Long noncoding RNAs are generated from the mitochondrial genome and regulated by nuclear-encoded proteins.

            Human mitochondrial long noncoding RNAs (lncRNAs) have not been described to date. By analysis of deep-sequencing data we have identified three lncRNAs generated from the mitochondrial genome and confirmed their expression by Northern blotting and strand-specific qRT-PCR. We show that the abundance of these lncRNAs is comparable to their complementary mRNAs and that nuclear-encoded mitochondrial proteins involved in RNA processing regulate their expression. We also identify the 5' and 3' transcript ends of the three lncRNAs and show that mitochondrial RNase P protein 1 (MRPP1) is important for the processing of these transcripts. Finally, we show that mitochondrial lncRNAs form intermolecular duplexes and that their abundance is cell- and tissue-specific, suggesting a functional role in the regulation of mitochondrial gene expression.
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              • Article: not found

              ST-segment elevation in conditions other than acute myocardial infarction.

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                Author and article information

                Journal
                Med Sci Monit
                Med. Sci. Monit
                Medical Science Monitor
                Medical Science Monitor : International Medical Journal of Experimental and Clinical Research
                International Scientific Literature, Inc.
                1234-1010
                1643-3750
                2018
                21 July 2018
                : 24
                : 5064-5070
                Affiliations
                [1 ]Heart Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, P.R. China
                [2 ]Department of Cardiology, Baotou Central Hospital, Baotou, Inner Mongolia, P.R. China
                [3 ]Department of Radiology, Baogang Hospital, Baotou, Inner Mongolia, P.R. China
                Author notes
                Corresponding Author: Xin-Chun Yang, e-mail: yangxinchun_888@ 123456126.com
                [A]

                Study Design

                [B]

                Data Collection

                [C]

                Statistical Analysis

                [D]

                Data Interpretation

                [E]

                Manuscript Preparation

                [F]

                Literature Search

                [G]

                Funds Collection

                Article
                909348
                10.12659/MSM.909348
                6067052
                30030914
                683c01af-c803-492d-91e6-63e19f427697
                © Med Sci Monit, 2018

                This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International ( CC BY-NC-ND 4.0)

                History
                : 04 February 2018
                : 13 February 2018
                Categories
                Clinical Research

                biological markers,diagnosis,myocardial infarction,rna, long noncoding

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