Vascular Tissue Specific miRNA Profiles Reveal Novel Correlations with Risk Factors in Coronary Artery Disease
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Non-coding RNAs have already been linked to CVD development and progression. While microRNAs (miRs) have been well studied in blood samples, there is little data on tissue-specific miRs in cardiovascular relevant...
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Published in | Biomolecules (Basel, Switzerland) Vol. 11; no. 11; p. 1683 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Switzerland
MDPI AG
12.11.2021
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Abstract | Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Non-coding RNAs have already been linked to CVD development and progression. While microRNAs (miRs) have been well studied in blood samples, there is little data on tissue-specific miRs in cardiovascular relevant tissues and their relation to cardiovascular risk factors. Tissue-specific miRs derived from
(IMA) from 192 coronary artery disease (CAD) patients undergoing coronary artery bypass grafting (CABG) were analyzed. The aims of the study were 1) to establish a reference atlas which can be utilized for identification of novel diagnostic biomarkers and potential therapeutic targets, and 2) to relate these miRs to cardiovascular risk factors. Overall, 393 individual miRs showed sufficient expression levels and passed quality control for further analysis. We identified 17 miRs-miR-10b-3p, miR-10-5p, miR-17-3p, miR-21-5p, miR-151a-5p, miR-181a-5p, miR-185-5p, miR-194-5p, miR-199a-3p, miR-199b-3p, miR-212-3p, miR-363-3p, miR-548d-5p, miR-744-5p, miR-3117-3p, miR-5683 and miR-5701-significantly correlated with cardiovascular risk factors (correlation coefficient >0.2 in both directions,
-value (
< 0.006, false discovery rate (FDR) <0.05). Of particular interest, miR-5701 was positively correlated with hypertension, hypercholesterolemia, and diabetes. In addition, we found that miR-629-5p and miR-98-5p were significantly correlated with acute myocardial infarction. We provide a first atlas of miR profiles in IMA samples from CAD patients. In perspective, these miRs might play an important role in improved risk assessment, mechanistic disease understanding and local therapy of CAD. |
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AbstractList | Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Non-coding RNAs have already been linked to CVD development and progression. While microRNAs (miRs) have been well studied in blood samples, there is little data on tissue-specific miRs in cardiovascular relevant tissues and their relation to cardiovascular risk factors. Tissue-specific miRs derived from Arteria mammaria interna (IMA) from 192 coronary artery disease (CAD) patients undergoing coronary artery bypass grafting (CABG) were analyzed. The aims of the study were 1) to establish a reference atlas which can be utilized for identification of novel diagnostic biomarkers and potential therapeutic targets, and 2) to relate these miRs to cardiovascular risk factors. Overall, 393 individual miRs showed sufficient expression levels and passed quality control for further analysis. We identified 17 miRs-miR-10b-3p, miR-10-5p, miR-17-3p, miR-21-5p, miR-151a-5p, miR-181a-5p, miR-185-5p, miR-194-5p, miR-199a-3p, miR-199b-3p, miR-212-3p, miR-363-3p, miR-548d-5p, miR-744-5p, miR-3117-3p, miR-5683 and miR-5701-significantly correlated with cardiovascular risk factors (correlation coefficient >0.2 in both directions, p-value (p < 0.006, false discovery rate (FDR) <0.05). Of particular interest, miR-5701 was positively correlated with hypertension, hypercholesterolemia, and diabetes. In addition, we found that miR-629-5p and miR-98-5p were significantly correlated with acute myocardial infarction. We provide a first atlas of miR profiles in IMA samples from CAD patients. In perspective, these miRs might play an important role in improved risk assessment, mechanistic disease understanding and local therapy of CAD.Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Non-coding RNAs have already been linked to CVD development and progression. While microRNAs (miRs) have been well studied in blood samples, there is little data on tissue-specific miRs in cardiovascular relevant tissues and their relation to cardiovascular risk factors. Tissue-specific miRs derived from Arteria mammaria interna (IMA) from 192 coronary artery disease (CAD) patients undergoing coronary artery bypass grafting (CABG) were analyzed. The aims of the study were 1) to establish a reference atlas which can be utilized for identification of novel diagnostic biomarkers and potential therapeutic targets, and 2) to relate these miRs to cardiovascular risk factors. Overall, 393 individual miRs showed sufficient expression levels and passed quality control for further analysis. We identified 17 miRs-miR-10b-3p, miR-10-5p, miR-17-3p, miR-21-5p, miR-151a-5p, miR-181a-5p, miR-185-5p, miR-194-5p, miR-199a-3p, miR-199b-3p, miR-212-3p, miR-363-3p, miR-548d-5p, miR-744-5p, miR-3117-3p, miR-5683 and miR-5701-significantly correlated with cardiovascular risk factors (correlation coefficient >0.2 in both directions, p-value (p < 0.006, false discovery rate (FDR) <0.05). Of particular interest, miR-5701 was positively correlated with hypertension, hypercholesterolemia, and diabetes. In addition, we found that miR-629-5p and miR-98-5p were significantly correlated with acute myocardial infarction. We provide a first atlas of miR profiles in IMA samples from CAD patients. In perspective, these miRs might play an important role in improved risk assessment, mechanistic disease understanding and local therapy of CAD. Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Non-coding RNAs have already been linked to CVD development and progression. While microRNAs (miRs) have been well studied in blood samples, there is little data on tissue-specific miRs in cardiovascular relevant tissues and their relation to cardiovascular risk factors. Tissue-specific miRs derived from Arteria mammaria interna (IMA) from 192 coronary artery disease (CAD) patients undergoing coronary artery bypass grafting (CABG) were analyzed. The aims of the study were 1) to establish a reference atlas which can be utilized for identification of novel diagnostic biomarkers and potential therapeutic targets, and 2) to relate these miRs to cardiovascular risk factors. Overall, 393 individual miRs showed sufficient expression levels and passed quality control for further analysis. We identified 17 miRs–miR-10b-3p, miR-10-5p, miR-17-3p, miR-21-5p, miR-151a-5p, miR-181a-5p, miR-185-5p, miR-194-5p, miR-199a-3p, miR-199b-3p, miR-212-3p, miR-363-3p, miR-548d-5p, miR-744-5p, miR-3117-3p, miR-5683 and miR-5701–significantly correlated with cardiovascular risk factors (correlation coefficient >0.2 in both directions, p -value ( p < 0.006, false discovery rate (FDR) <0.05). Of particular interest, miR-5701 was positively correlated with hypertension, hypercholesterolemia, and diabetes. In addition, we found that miR-629-5p and miR-98-5p were significantly correlated with acute myocardial infarction. We provide a first atlas of miR profiles in IMA samples from CAD patients. In perspective, these miRs might play an important role in improved risk assessment, mechanistic disease understanding and local therapy of CAD. Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Non-coding RNAs have already been linked to CVD development and progression. While microRNAs (miRs) have been well studied in blood samples, there is little data on tissue-specific miRs in cardiovascular relevant tissues and their relation to cardiovascular risk factors. Tissue-specific miRs derived from Arteria mammaria interna (IMA) from 192 coronary artery disease (CAD) patients undergoing coronary artery bypass grafting (CABG) were analyzed. The aims of the study were 1) to establish a reference atlas which can be utilized for identification of novel diagnostic biomarkers and potential therapeutic targets, and 2) to relate these miRs to cardiovascular risk factors. Overall, 393 individual miRs showed sufficient expression levels and passed quality control for further analysis. We identified 17 miRs–miR-10b-3p, miR-10-5p, miR-17-3p, miR-21-5p, miR-151a-5p, miR-181a-5p, miR-185-5p, miR-194-5p, miR-199a-3p, miR-199b-3p, miR-212-3p, miR-363-3p, miR-548d-5p, miR-744-5p, miR-3117-3p, miR-5683 and miR-5701–significantly correlated with cardiovascular risk factors (correlation coefficient >0.2 in both directions, p-value (p < 0.006, false discovery rate (FDR) <0.05). Of particular interest, miR-5701 was positively correlated with hypertension, hypercholesterolemia, and diabetes. In addition, we found that miR-629-5p and miR-98-5p were significantly correlated with acute myocardial infarction. We provide a first atlas of miR profiles in IMA samples from CAD patients. In perspective, these miRs might play an important role in improved risk assessment, mechanistic disease understanding and local therapy of CAD. Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Non-coding RNAs have already been linked to CVD development and progression. While microRNAs (miRs) have been well studied in blood samples, there is little data on tissue-specific miRs in cardiovascular relevant tissues and their relation to cardiovascular risk factors. Tissue-specific miRs derived from (IMA) from 192 coronary artery disease (CAD) patients undergoing coronary artery bypass grafting (CABG) were analyzed. The aims of the study were 1) to establish a reference atlas which can be utilized for identification of novel diagnostic biomarkers and potential therapeutic targets, and 2) to relate these miRs to cardiovascular risk factors. Overall, 393 individual miRs showed sufficient expression levels and passed quality control for further analysis. We identified 17 miRs-miR-10b-3p, miR-10-5p, miR-17-3p, miR-21-5p, miR-151a-5p, miR-181a-5p, miR-185-5p, miR-194-5p, miR-199a-3p, miR-199b-3p, miR-212-3p, miR-363-3p, miR-548d-5p, miR-744-5p, miR-3117-3p, miR-5683 and miR-5701-significantly correlated with cardiovascular risk factors (correlation coefficient >0.2 in both directions, -value ( < 0.006, false discovery rate (FDR) <0.05). Of particular interest, miR-5701 was positively correlated with hypertension, hypercholesterolemia, and diabetes. In addition, we found that miR-629-5p and miR-98-5p were significantly correlated with acute myocardial infarction. We provide a first atlas of miR profiles in IMA samples from CAD patients. In perspective, these miRs might play an important role in improved risk assessment, mechanistic disease understanding and local therapy of CAD. |
Author | Bongiovanni, Dario Hawe, Johann S Li, Ling Pang, Shichao Saar, Kathrin Güldener, Ulrich Schunkert, Heribert DigiMed Bayern Consortium Bauer, Sabine Krane, Markus Vilne, Baiba Westerlund, Annie M Lange, Rüdiger Wengert, Simon Lachmann, Mark Yang, Chuhua Huebner, Norbert von Scheidt, Moritz Neiburga, Katrīna D Ziegler, Tilman Maegdefessel, Lars |
AuthorAffiliation | 6 Helmholtz Pioneer Campus, Helmholtz Zentrum München, 85764 Neuherberg, Germany; simon.wengert@helmholtz-muenchen.de 8 Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; ksaar@mdc-berlin.de (K.S.); nhuebner@mdc-berlin.de (N.H.) 13 Division of Cardiac Surgery, Yale University School of Medicine, New Haven, CT 06510, USA 3 German Heart Centre Munich, Department of Cardiology, Technical University Munich, 80636 Munich, Germany; s.bauer@tum.de (S.B.); johann.hawe@tum.de (J.S.H.); u.gueldener@tum.de (U.G.); annie.westerlund@tum.de (A.M.W.); lingjoyo.li@tum.de (L.L.); shichao.pang@tum.de (S.P.); chuhua.yang@tum.de (C.Y.) 5 Department of Internal Medicine I, School of Medicine, University Hospital Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; tilman.ziegler@tum.de (T.Z.); mark.lachmann@uni-duesseldorf.de (M.L.) 1 Bioinformatics Lab, Riga Stradiņš University, LV-1007 Riga, Latvia; KatrinaDaila.Neiburga@rsu.lv 11 Department |
AuthorAffiliation_xml | – name: 12 German Heart Centre Munich, Department of Cardiac Surgery, Technical University Munich, 80636 Munich, Germany – name: 10 Charité-Universitätsmedizin, 10117 Berlin, Germany – name: 1 Bioinformatics Lab, Riga Stradiņš University, LV-1007 Riga, Latvia; KatrinaDaila.Neiburga@rsu.lv – name: 9 DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany – name: 6 Helmholtz Pioneer Campus, Helmholtz Zentrum München, 85764 Neuherberg, Germany; simon.wengert@helmholtz-muenchen.de – name: 7 Institute of Computational Biology, Helmholtz Zentrum München, 85764 Munich, Germany – name: 4 DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80802 Munich, Germany; bongiovanni@tum.de (D.B.); lars.maegdefessel@tum.de (L.M.); lange@dhm.mhn.de (R.L.); krane@dhm.mhn.de (M.K.) – name: 8 Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany; ksaar@mdc-berlin.de (K.S.); nhuebner@mdc-berlin.de (N.H.) – name: 13 Division of Cardiac Surgery, Yale University School of Medicine, New Haven, CT 06510, USA – name: 5 Department of Internal Medicine I, School of Medicine, University Hospital Rechts der Isar, Technical University of Munich, 81675 Munich, Germany; tilman.ziegler@tum.de (T.Z.); mark.lachmann@uni-duesseldorf.de (M.L.) – name: 11 Department of Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany – name: 3 German Heart Centre Munich, Department of Cardiology, Technical University Munich, 80636 Munich, Germany; s.bauer@tum.de (S.B.); johann.hawe@tum.de (J.S.H.); u.gueldener@tum.de (U.G.); annie.westerlund@tum.de (A.M.W.); lingjoyo.li@tum.de (L.L.); shichao.pang@tum.de (S.P.); chuhua.yang@tum.de (C.Y.) – name: 2 SIA Net-OMICS, LV-1011 Riga, Latvia |
Author_xml | – sequence: 1 givenname: Katrīna D orcidid: 0000-0002-4731-7596 surname: Neiburga fullname: Neiburga, Katrīna D organization: Bioinformatics Lab, Riga Stradiņš University, LV-1007 Riga, Latvia – sequence: 2 givenname: Baiba orcidid: 0000-0002-1084-7067 surname: Vilne fullname: Vilne, Baiba organization: German Heart Centre Munich, Department of Cardiology, Technical University Munich, 80636 Munich, Germany – sequence: 3 givenname: Sabine orcidid: 0000-0001-7929-8417 surname: Bauer fullname: Bauer, Sabine organization: DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80802 Munich, Germany – sequence: 4 givenname: Dario orcidid: 0000-0002-4162-1482 surname: Bongiovanni fullname: Bongiovanni, Dario organization: Department of Internal Medicine I, School of Medicine, University Hospital Rechts der Isar, Technical University of Munich, 81675 Munich, Germany – sequence: 5 givenname: Tilman surname: Ziegler fullname: Ziegler, Tilman organization: Department of Internal Medicine I, School of Medicine, University Hospital Rechts der Isar, Technical University of Munich, 81675 Munich, Germany – sequence: 6 givenname: Mark surname: Lachmann fullname: Lachmann, Mark organization: Department of Internal Medicine I, School of Medicine, University Hospital Rechts der Isar, Technical University of Munich, 81675 Munich, Germany – sequence: 7 givenname: Simon orcidid: 0000-0003-1271-1996 surname: Wengert fullname: Wengert, Simon organization: Helmholtz Pioneer Campus, Helmholtz Zentrum München, 85764 Neuherberg, Germany – sequence: 8 givenname: Johann S surname: Hawe fullname: Hawe, Johann S organization: German Heart Centre Munich, Department of Cardiology, Technical University Munich, 80636 Munich, Germany – sequence: 9 givenname: Ulrich orcidid: 0000-0001-5052-8610 surname: Güldener fullname: Güldener, Ulrich organization: German Heart Centre Munich, Department of Cardiology, Technical University Munich, 80636 Munich, Germany – sequence: 10 givenname: Annie M orcidid: 0000-0003-2288-5711 surname: Westerlund fullname: Westerlund, Annie M organization: Institute of Computational Biology, Helmholtz Zentrum München, 85764 Munich, Germany – sequence: 11 givenname: Ling surname: Li fullname: Li, Ling organization: German Heart Centre Munich, Department of Cardiology, Technical University Munich, 80636 Munich, Germany – sequence: 12 givenname: Shichao surname: Pang fullname: Pang, Shichao organization: German Heart Centre Munich, Department of Cardiology, Technical University Munich, 80636 Munich, Germany – sequence: 13 givenname: Chuhua surname: Yang fullname: Yang, Chuhua organization: German Heart Centre Munich, Department of Cardiology, Technical University Munich, 80636 Munich, Germany – sequence: 14 givenname: Kathrin surname: Saar fullname: Saar, Kathrin organization: DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany – sequence: 15 givenname: Norbert surname: Huebner fullname: Huebner, Norbert organization: Charité-Universitätsmedizin, 10117 Berlin, Germany – sequence: 16 givenname: Lars surname: Maegdefessel fullname: Maegdefessel, Lars organization: Department of Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany – sequence: 17 surname: DigiMed Bayern Consortium fullname: DigiMed Bayern Consortium – sequence: 18 givenname: Rüdiger surname: Lange fullname: Lange, Rüdiger organization: German Heart Centre Munich, Department of Cardiac Surgery, Technical University Munich, 80636 Munich, Germany – sequence: 19 givenname: Markus surname: Krane fullname: Krane, Markus organization: Division of Cardiac Surgery, Yale University School of Medicine, New Haven, CT 06510, USA – sequence: 20 givenname: Heribert surname: Schunkert fullname: Schunkert, Heribert organization: DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80802 Munich, Germany – sequence: 21 givenname: Moritz orcidid: 0000-0001-7159-8271 surname: von Scheidt fullname: von Scheidt, Moritz organization: DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80802 Munich, Germany |
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Copyright | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2021 by the authors. 2021 |
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Keywords | coronary artery disease cardiovascular disease local therapy biosensor micro RNA arteria mammaria interna biomarker coronary artery bypass grafting personalized medicine |
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Snippet | Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Non-coding RNAs have already been linked to CVD development and... |
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SubjectTerms | arteria mammaria interna Atherosclerosis biomarker biosensor Cardiovascular disease Cardiovascular diseases Chronic obstructive pulmonary disease Clinical medicine Coronary artery coronary artery bypass grafting Coronary Artery Disease Coronary vessels Diabetes Diabetes Mellitus Gene loci Genomes Heart Heart diseases Hemodialysis Humans Hypercholesterolemia Kidney transplants Medicin och hälsovetenskap MicroRNAs miRNA Morbidity Mortality Myocardial infarction Quality control Risk assessment Risk Factors Therapeutic targets Vein & artery diseases |
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Title | Vascular Tissue Specific miRNA Profiles Reveal Novel Correlations with Risk Factors in Coronary Artery Disease |
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