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© 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.

Abstract

Simple Summary

Coronary artery bypass graft (CABG) surgery is a procedure in which complex coronary arteries stenosis is treated by bypassing atherosclerotic lesions with venous or arterial grafts. CABG is associated with myocardial damage due to ischemia/reperfusion injury. In addition, postoperative complications, including perioperative myocardial infarction, atrial fibrillation and graft failure, remain important clinical challenges. So far, no reliable diagnostic and prognostic tools to predict outcomes after CABG surgery have been established. MiRNAs are noncoding, 21–24 nucleotide-long RNA particles, expressions of which alter during CABG surgery. Here, we summarize the potential clinical applicability of miRNAs as promising biomarkers to predict post-CABG procedure outcomes.

Abstract

MiRNAs are noncoding, 21–24 nucleotide-long RNA particles that control over 60% of genes. MiRNAs affect gene expression through binding to the 3’-untranslated region of messenger RNA (mRNA), thus inhibiting mRNA translation or inducing mRNA degradation. MiRNAs have been associated with various cardiovascular diseases, including heart failure, hypertension, left ventricular hypertrophy, or ischemic heart disease. In addition, miRNA expression alters during coronary artery bypass grafting (CABG) surgery, which could be used to predict perioperative outcomes. CABG is an operation in which complex coronary arteries stenosis is treated by bypassing atherosclerotic lesions with venous or arterial grafts. Despite a very low perioperative mortality rate and excellent long-term survival, CABG is associated with postoperative complications, including reperfusion injury, graft failure, atrial fibrillation and perioperative myocardial infarction. So far, no reliable diagnostic and prognostic tools to predict prognosis after CABG have been developed. Changes in the perioperative miRNA expression levels could improve the diagnosis of post-CABG myocardial infarction and atrial fibrillation and could be used to stratify risk after CABG. Herein, we describe the expression changes of different subtypes of miRNAs during CABG and review the diagnostic and prognostic utility of miRNAs in patients undergoing CABG.

Details

Title
Diagnostic and Prognostic Value of miRNAs after Coronary Artery Bypass Grafting: A Review
Author
Błażejowska, Ewelina 1   VIAFID ORCID Logo  ; Urbanowicz, Tomasz 2   VIAFID ORCID Logo  ; Gąsecka, Aleksandra 1   VIAFID ORCID Logo  ; Olasińska-Wiśniewska, Anna 2   VIAFID ORCID Logo  ; Jaguszewski, Miłosz J 3   VIAFID ORCID Logo  ; Targoński, Radosław 3   VIAFID ORCID Logo  ; Szarpak, Łukasz 4   VIAFID ORCID Logo  ; Filipiak, Krzysztof J 4   VIAFID ORCID Logo  ; Perek, Bartłomiej 2   VIAFID ORCID Logo  ; Jemielity, Marek 2 

 1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warsaw, Poland; [email protected] 
 Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, 61-701 Poznan, Poland; [email protected] (T.U.); [email protected] (A.O.-W.); [email protected] (B.P.); [email protected] (M.J.) 
 1st Department of Cardiology, Medical University of Gdansk, 80-211 Gdansk, Poland; [email protected] (M.J.J.); [email protected] (R.T.) 
 Department of Clinical Sciences, Maria Sklodowska-Curie Medical Academy, 03-411 Warsaw, Poland; [email protected] (Ł.S.); [email protected] (K.J.F.) 
First page
1350
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20797737
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2612737046
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.