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Mir-1, miR-122, miR-132, and miR-133 Are Related to Subclinical Aortic Atherosclerosis Associated with Metabolic Syndrome

Author

Listed:
  • Agnė Šatrauskienė

    (Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania
    Centre of Cardiology and Angiology, Vilnius University Hospital, Santaros Klinikos, 08410 Vilnius, Lithuania)

  • Rokas Navickas

    (Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania
    Centre of Cardiology and Angiology, Vilnius University Hospital, Santaros Klinikos, 08410 Vilnius, Lithuania)

  • Aleksandras Laucevičius

    (Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania
    Centre of Cardiology and Angiology, Vilnius University Hospital, Santaros Klinikos, 08410 Vilnius, Lithuania
    Experimental, Preventive, and Clinic Medicine Department, Centre for Innovative Medicine, 08406 Vilnius, Lithuania)

  • Tomas Krilavičius

    (Informatics Faculty, Vytautas Magnus University, 44248 Kaunas, Lithuania
    Baltic Institute of Advanced Technology, 01124 Vilnius, Lithuania)

  • Rūta Užupytė

    (Informatics Faculty, Vytautas Magnus University, 44248 Kaunas, Lithuania
    Baltic Institute of Advanced Technology, 01124 Vilnius, Lithuania
    Faculty of Mathematics and Informatics, Vilnius University, 03225 Vilnius, Lithuania)

  • Monika Zdanytė

    (Department of Cardiology and Cardiovascular Medicine, Universität Tübingen, 72074 Tübingen, Germany)

  • Ligita Ryliškytė

    (Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania
    Centre of Cardiology and Angiology, Vilnius University Hospital, Santaros Klinikos, 08410 Vilnius, Lithuania)

  • Agnė Jucevičienė

    (Clinic of Cardiac and Vascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania
    Centre of Cardiology and Angiology, Vilnius University Hospital, Santaros Klinikos, 08410 Vilnius, Lithuania)

  • Paul Holvoet

    (Experimental Cardiology, Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium)

Abstract

Previously, miR-1, miR-122, miR-126, miR-132, miR-133, and miR-370 were found to be related to coronary artery disease (CAD) progression. However, their relationship with subclinical atherosclerosis, especially in subjects with metabolic syndrome, is unknown. Therefore, our aim was to determine their relationship with arterial markers of subclinical atherosclerosis. Metabolic syndrome subjects (n = 182) with high cardiovascular risk but without overt cardiovascular disease (CVD) were recruited from the Lithuanian High Cardiovascular Risk (LitHiR) primary prevention program. The ardio-ankle vascular index (CAVI), augmentation index normalized to a heart rate of 75 bpm (AIxHR75), aortic pulse wave velocity (AoPWV), and carotid artery stiffness were assessed. MicroRNAs (miRs) were analyzed in serum. Pearson correlation and a univariate linear regression t -test showed that miR-1, miR-133b, and miR-133a were negatively associated with CAVI mean, whereas miR-122 was positively associated. MiR-1, miR-133b and miR-133a, and miR-145 were negatively associated with AIxHR75. MiR-122 correlated negatively with AoPWV. In multivariate linear regression models, miR-133b and miR-122 predicted CAVImean, miR-133 predicted AIxHR75, and miR-122 predicted AoPWV. MiR-132 predicted right carotid artery stiffness, and miR-1 predicted left carotid artery stiffness. The addition of smoking to miR-133b and miR-122 enhanced the prediction of CAVI. Age and triglycerides enhanced the prediction of AoPWV by miR-122. A cluster of four miRs are related to subclinical atherosclerosis in subjects with metabolic syndrome. Combined, they may have a more substantial diagnostic or prognostic value than any single miR. Future follow-up studies are needed to establish their clinical relevance.

Suggested Citation

  • Agnė Šatrauskienė & Rokas Navickas & Aleksandras Laucevičius & Tomas Krilavičius & Rūta Užupytė & Monika Zdanytė & Ligita Ryliškytė & Agnė Jucevičienė & Paul Holvoet, 2021. "Mir-1, miR-122, miR-132, and miR-133 Are Related to Subclinical Aortic Atherosclerosis Associated with Metabolic Syndrome," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1483-:d:493486
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    References listed on IDEAS

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    1. Bin Wang & Paul Howel & Skjalg Bruheim & Jingfang Ju & Laurie B Owen & Oystein Fodstad & Yaguang Xi, 2011. "Systematic Evaluation of Three microRNA Profiling Platforms: Microarray, Beads Array, and Quantitative Real-Time PCR Array," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-12, February.
    2. Fumiaki Sato & Soken Tsuchiya & Kazuya Terasawa & Gozoh Tsujimoto, 2009. "Intra-Platform Repeatability and Inter-Platform Comparability of MicroRNA Microarray Technology," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-12, May.
    3. Yuri D'Alessandra & Maria Cristina Carena & Liana Spazzafumo & Federico Martinelli & Beatrice Bassetti & Paolo Devanna & Mara Rubino & Giancarlo Marenzi & Gualtiero I Colombo & Felice Achilli & Stefan, 2013. "Diagnostic Potential of Plasmatic MicroRNA Signatures in Stable and Unstable Angina," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
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