Lingping Zhu1, Tong Chen2, Wenrui Ye3, Jun-Yao Wang1, Ji-Peng Zhou1, Zhen-Yu Li2, Chuan-Chang Li2. 1. Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha 410008, China. 2. Department of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha 410008, China. 3. Department of Pediatrics-Cardiology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA.
Abstract
BACKGROUND: Patients with unprotected left main coronary artery disease (uLMCAD) have high mortality rate due to sudden heart failure and acute myocardial infarction, for which reliable diagnostic biomarkers to detect this disease at an early stage are in urgent need. Circulating microRNAs (miRNAs) have emerged as a class of novel biomarkers for cardiovascular diseases. The purpose of this study was to investigate utility of miRNAs as biomarkers for early detection of uLMCAD. METHODS: High-throughput sequencing (NGS) was initially employed to compare circulating miRNA expression profiles in uLMCAD patients to that in patients without coronary artery disease (CAD) to identify candidate miRNA biomarkers. We further validated the expression of candidate miRNAs by quantitative polymerase chain reaction (qPCR) in a larger cohort. Receiver operating characteristic (ROC) analysis with multivariate logistic regression was used to evaluate the diagnostic power of candidate miRNAs individually and combined. RESULTS: MiR-182-5p, miR-199a-5p and miR-5187-5p were found significantly differentially expressed through NGS (fold changes =1.35, 1.65, 0.5, P values =0.018, 0.046, 0.030, respectively, n=5 for both uLMCAD group and non-CAD control group). In a larger cohort (n=27 for uLMCAD patient and n=38 for non-CAD controls), qPCR confirmed that expression of miR-182-5p was up-regulated (2.57-fold, P=0.011) and expression of miR-5187-5p was down-regulated (0.47-fold, P=0.018) in the plasma of uLMCAD patients. ROC analysis with multivariate logistic regression show that miR-182 and miR-5187 have an AUC score of 0.97 and 0.94 respectively, indicating high diagnostic power as biomarkers for uLMCAD. Interestingly, correlation analysis suggests that the expression of two miRNAs were independent to each other. CONCLUSIONS: These results suggested that circulating miR-182-5p and miR-5187-5p were suitable diagnostic biomarkers for uLMCAD, both potentially providing diagnostic information for discriminating uLMCAD patients from non-CAD population prior to invasive diagnostic coronary angiography (CAG).
BACKGROUND: Patients with unprotected left main coronary artery disease (uLMCAD) have high mortality rate due to sudden heart failure and acute myocardial infarction, for which reliable diagnostic biomarkers to detect this disease at an early stage are in urgent need. Circulating microRNAs (miRNAs) have emerged as a class of novel biomarkers for cardiovascular diseases. The purpose of this study was to investigate utility of miRNAs as biomarkers for early detection of uLMCAD. METHODS: High-throughput sequencing (NGS) was initially employed to compare circulating miRNA expression profiles in uLMCAD patients to that in patients without coronary artery disease (CAD) to identify candidate miRNA biomarkers. We further validated the expression of candidate miRNAs by quantitative polymerase chain reaction (qPCR) in a larger cohort. Receiver operating characteristic (ROC) analysis with multivariate logistic regression was used to evaluate the diagnostic power of candidate miRNAs individually and combined. RESULTS: MiR-182-5p, miR-199a-5p and miR-5187-5p were found significantly differentially expressed through NGS (fold changes =1.35, 1.65, 0.5, P values =0.018, 0.046, 0.030, respectively, n=5 for both uLMCAD group and non-CAD control group). In a larger cohort (n=27 for uLMCAD patient and n=38 for non-CAD controls), qPCR confirmed that expression of miR-182-5p was up-regulated (2.57-fold, P=0.011) and expression of miR-5187-5p was down-regulated (0.47-fold, P=0.018) in the plasma of uLMCAD patients. ROC analysis with multivariate logistic regression show that miR-182 and miR-5187 have an AUC score of 0.97 and 0.94 respectively, indicating high diagnostic power as biomarkers for uLMCAD. Interestingly, correlation analysis suggests that the expression of two miRNAs were independent to each other. CONCLUSIONS: These results suggested that circulating miR-182-5p and miR-5187-5p were suitable diagnostic biomarkers for uLMCAD, both potentially providing diagnostic information for discriminating uLMCAD patients from non-CAD population prior to invasive diagnostic coronary angiography (CAG).
Entities:
Keywords:
Unprotected left main coronary artery disease (uLMCAD); diagnostic biomarker; miR-182-5p; miR-5187-5p
Authors: Tjörvi E Perry; Jochen D Muehlschlegel; Kuang-Yu Liu; Amanda A Fox; Charles D Collard; Simon C Body; Stanton K Shernan Journal: Anesthesiology Date: 2010-03 Impact factor: 7.892
Authors: Peter Büchler; Amiq Gazdhar; Mario Schubert; Nathalia Giese; Howard A Reber; Oscar J Hines; Thomas Giese; Güralp O Ceyhan; Michael Müller; Markus W Büchler; Helmut Friess Journal: Ann Surg Date: 2005-12 Impact factor: 12.969
Authors: M J Lenzen; E Boersma; M E Bertrand; W Maier; C Moris; F Piscione; U Sechtem; E Stahle; P Widimsky; P de Jaegere; W J M Scholte op Reimer; N Mercado; W Wijns Journal: Eur Heart J Date: 2005-03-31 Impact factor: 29.983
Authors: R Chen; A B Alvero; D A Silasi; M G Kelly; S Fest; I Visintin; A Leiser; P E Schwartz; T Rutherford; G Mor Journal: Oncogene Date: 2008-04-14 Impact factor: 9.867
Authors: Gilles Montalescot; David Brieger; Kim A Eagle; Frederick A Anderson; Gordon FitzGerald; Michael S Lee; Ph Gabriel Steg; Alvaro Avezum; Shaun G Goodman; Joel M Gore Journal: Eur Heart J Date: 2009-08-30 Impact factor: 29.983
Authors: Carlos Fernández-Hernando; Eric Ackah; Jun Yu; Yajaira Suárez; Takahisa Murata; Yasuko Iwakiri; Jay Prendergast; Robert Q Miao; Morris J Birnbaum; William C Sessa Journal: Cell Metab Date: 2007-12 Impact factor: 27.287
Authors: Hoda Y Abdallah; Ranya Hassan; Ahmed Fareed; Mai Abdelgawad; Sally Abdallah Mostafa; Eman Abdel-Moemen Mohammed Journal: BMC Cardiovasc Disord Date: 2022-06-24 Impact factor: 2.174
Authors: Cecil Jack Weale; Don M Matshazi; Saarah F G Davids; Shanel Raghubeer; Rajiv T Erasmus; Andre Pascal Kengne; Glenda Mary Davison; Tandi E Matsha Journal: Diabetes Metab Syndr Obes Date: 2020-12-21 Impact factor: 3.168
Authors: Sharmilee Vetrivel; Ru Zhang; Mareen Engel; Barbara Altieri; Leah Braun; Andrea Osswald; Martin Bidlingmaier; Martin Fassnacht; Felix Beuschlein; Martin Reincke; Alon Chen; Silviu Sbiera; Anna Riester Journal: Front Endocrinol (Lausanne) Date: 2021-02-22 Impact factor: 5.555