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      Prediction of coronary heart disease incidence in a general male population by circulating non-coding small RNA sRNY1-5p in a nested case–control study

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          Abstract

          During the development of atherosclerotic lesion, s-RNYs (small RNAs of about 24/34 nucleotides) are derived by the processing of long Ro-associated non-coding RNAs (RNYs) in macrophages. The levels of serum s-RNYs have been found significantly upregulated in patients with coronary heart disease (CHD) compared to age-matched CHD-free individuals. The present study aimed to examine the predictive value of serum s-RNYs for CHD events in the general male population. Within the frame of nested-case–control study, the GENES study, we measured the absolute expression of a RNY-derived small RNA, the s-RNY1-5p, in the serum of individuals (without CHD at baseline) who encountered a CHD event within 12 years of follow-up (n = 30) (Cases) and compared them to individuals who remained event-free (Controls) (n = 30). The expression of s-RNY1-5p in serum was significantly upregulated in Cases compared to Controls (p = 0.027). The proportion of CHD event-free was significantly higher among individuals with serum s-RNY1-5p below the median value (631 molecules/mL). In a multivariable model adjusted for age, smoking, hypertension, diabetes and dyslipidemia, the risk of CHD events increased more than fourfold in individuals with serum s-RNY1-5p above the median value (HR, 4.36; 95% CI 1.22–15.60). A positive association with CHD events was also observed when considering s-RNY1-5p as a continuous variable (p = 0.022). Based on our results, we conclude that serum s-RNY1-5p is an independent predictor of CHD events in a general male population and might be a relevant biomarker for early detection of cardiovascular diseases.

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          2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk

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            Metazoan MicroRNAs

            MicroRNAs (miRNAs) are ∼22 nt RNAs that direct posttranscriptional repression of mRNA targets in diverse eukaryotic lineages. In humans and other mammals, these small RNAs help sculpt the expression of most mRNAs. This article reviews advances in our understanding of the defining features of metazoan miRNAs and their biogenesis, genomics, and evolution. It then reviews how metazoan miRNAs are regulated, how they recognize and cause repression of their targets, and the biological functions of this repression, with a compilation of knockout phenotypes that shows that important biological functions have been identified for most of the broadly conserved miRNAs of mammals.
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              Macrophages in atherosclerosis: a dynamic balance.

              Atherosclerosis is a chronic inflammatory disease that arises from an imbalance in lipid metabolism and a maladaptive immune response driven by the accumulation of cholesterol-laden macrophages in the artery wall. Through the analysis of the progression and regression of atherosclerosis in animal models, there is a growing understanding that the balance of macrophages in the plaque is dynamic and that both macrophage numbers and the inflammatory phenotype influence plaque fate. In this Review, we summarize recently identified pro- and anti-inflammatory pathways that link lipid and inflammation biology with the retention of macrophages in plaques, as well as factors that have the potential to promote their egress from these sites.
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                Author and article information

                Contributors
                Laurent.Martinez@inserm.fr
                michele.trabucchi@univ-cotedazur.fr
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                19 January 2021
                19 January 2021
                2021
                : 11
                : 1837
                Affiliations
                [1 ]GRID grid.460782.f, ISNI 0000 0004 4910 6551, Inserm U1065, C3M, Team Control of Gene Expression (10), , Université Côte D’Azur, ; Nice, France
                [2 ]Department of Epidemiology, Health Economics and Public Health, UMR1027 INSERM, Toulouse University, Toulouse University Hospital (CHU), Toulouse, France
                [3 ]Institut National de La Santé Et de La Recherche Médicale (INSERM), Institute of Cardiovascular and Metabolic Diseases (I2MC), UMR1297, BP 84225, 31432 Toulouse Cedex 04, France
                [4 ]GRID grid.15781.3a, ISNI 0000 0001 0723 035X, University of Toulouse, UMR1297, Paul Sabatier University, ; Toulouse, France
                [5 ]GRID grid.411175.7, ISNI 0000 0001 1457 2980, Fédération de Cardiologie, , Toulouse University Hospital (CHU), ; Toulouse, France
                [6 ]GRID grid.411175.7, ISNI 0000 0001 1457 2980, Service de Biochimie, Pôle biologie, Hôpital de Purpan, , CHU de Toulouse, ; Toulouse, France
                Article
                81221
                10.1038/s41598-021-81221-8
                7815790
                33469068
                fcecc4a5-c174-4e3c-8977-59a643896cbe
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 April 2020
                : 30 December 2020
                Funding
                Funded by: Satt-SudEst
                Funded by: UCA-IDEX
                Funded by: FundRef https://doi.org/10.13039/501100006005, Agence de la Biomédecine;
                Funded by: FundRef https://doi.org/10.13039/501100008965, Société Française de Nutrition;
                Funded by: FundRef https://doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ANR-11-LABX-0028-01
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100002915, Fondation pour la Recherche Médicale;
                Award ID: DEQ20140329551
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                biomarkers,predictive markers,cardiovascular diseases
                Uncategorized
                biomarkers, predictive markers, cardiovascular diseases

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