Luxitaa Goenka1, Melvin George2, Vishakha Singh3, Amrita Jena1, Deepika Seshadri1, Vasanth Karunakaran4, Dhandapani Vellala Elumalai5, Jamuna Rani6, Ilango Kaliappan4. 1. Department of Clinical Pharmacology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, India. 2. Department of Clinical Pharmacology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, 603203, India. 3. Department of Biotechnology, SRM University, Kattankulathur, Chennai, Tamil Nadu, India. 4. Department of IIISM, SRM University, Kattankulathur, Chennai, Tamil Nadu, India. 5. Department of Cardiology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, India. 6. Department of Pharmacology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, India.
Abstract
BACKGROUND: Coronary artery disease (CAD) is one of the leading causes of mortality and morbidity worldwide. We thereby sought to investigate whether the biomarkers, angiopoietin-like 4 (ANGPTL-4) and galectin-3, reflect the severity of CAD. METHODS: Patients were screened based on inclusion/exclusion criteria and written informed consent was obtained from the patients. Serum ANGPTL-4 and galectin-3 was quantified using enzyme-linked immunosorbent assay (ELISA) and correlated with the Global Registry of Acute Coronary Events (GRACE) and GENSINI score using Spearman's rank correlation coefficient and multivariate analysis. RESULTS: A total of 226 patients consisting of ST-segment elevation myocardial infarction (STEMI), non-STEMI/unstable angina (USA), chronic stable angina (CSA) and normal controls (NCs) participated in the study. ANGPTL-4 and galectin-3 were significantly higher in CAD than the NC group. ANGPTL-4 showed significant negative correlation with GRACE score in acute coronary syndrome (ACS) ( r = -0.211, p = 0.03) patients. ANGPTL-4 showed significant positive correlation with serum creatinine ( r = 0.304, p = 0.056) and body mass index (BMI) ( r = 0.424, p = 0.009) in CSA patients. A modest positive correlation was observed between the serum galectin-3 levels and GRACE score ( r = 0.187, p = 0.055) in ACS patients. However, on multivariate analysis the positive correlation relationship between ANGPTL-4 and galectin-3 with the severity of CAD was not sustained. CONCLUSION: In conclusion, ANGPTL-4 and galectin-3 do not appear to have a promising role for assessing the severity of CAD. Nevertheless these biomarkers do warrant further exploration in improving the management of CAD.
BACKGROUND:Coronary artery disease (CAD) is one of the leading causes of mortality and morbidity worldwide. We thereby sought to investigate whether the biomarkers, angiopoietin-like 4 (ANGPTL-4) and galectin-3, reflect the severity of CAD. METHODS:Patients were screened based on inclusion/exclusion criteria and written informed consent was obtained from the patients. Serum ANGPTL-4 and galectin-3 was quantified using enzyme-linked immunosorbent assay (ELISA) and correlated with the Global Registry of Acute Coronary Events (GRACE) and GENSINI score using Spearman's rank correlation coefficient and multivariate analysis. RESULTS: A total of 226 patients consisting of ST-segment elevation myocardial infarction (STEMI), non-STEMI/unstable angina (USA), chronic stable angina (CSA) and normal controls (NCs) participated in the study. ANGPTL-4 and galectin-3 were significantly higher in CAD than the NC group. ANGPTL-4 showed significant negative correlation with GRACE score in acute coronary syndrome (ACS) ( r = -0.211, p = 0.03) patients. ANGPTL-4 showed significant positive correlation with serum creatinine ( r = 0.304, p = 0.056) and body mass index (BMI) ( r = 0.424, p = 0.009) in CSA patients. A modest positive correlation was observed between the serum galectin-3 levels and GRACE score ( r = 0.187, p = 0.055) in ACS patients. However, on multivariate analysis the positive correlation relationship between ANGPTL-4 and galectin-3 with the severity of CAD was not sustained. CONCLUSION: In conclusion, ANGPTL-4 and galectin-3 do not appear to have a promising role for assessing the severity of CAD. Nevertheless these biomarkers do warrant further exploration in improving the management of CAD.
Authors: Patrick T O'Gara; Frederick G Kushner; Deborah D Ascheim; Donald E Casey; Mina K Chung; James A de Lemos; Steven M Ettinger; James C Fang; Francis M Fesmire; Barry A Franklin; Christopher B Granger; Harlan M Krumholz; Jane A Linderbaum; David A Morrow; L Kristin Newby; Joseph P Ornato; Narith Ou; Martha J Radford; Jacqueline E Tamis-Holland; Carl L Tommaso; Cynthia M Tracy; Y Joseph Woo; David X Zhao Journal: Catheter Cardiovasc Interv Date: 2013-01-08 Impact factor: 2.692
Authors: C Falcone; S Lucibello; I Mazzucchelli; S Bozzini; A D'Angelo; S Schirinzi; R Totaro; R Falcone; M Bondesan; G Pelissero Journal: Int J Immunopathol Pharmacol Date: 2011 Oct-Dec Impact factor: 3.219
Authors: Giuseppe Maiolino; Giacomo Rossitto; Luigi Pedon; Maurizio Cesari; Anna Chiara Frigo; Matteo Azzolini; Mario Plebani; Gian Paolo Rossi Journal: Arterioscler Thromb Vasc Biol Date: 2015-01-22 Impact factor: 8.311
Authors: E Gucuk Ipek; S Akin Suljevic; H Kafes; F Basyigit; N Karalok; Y Guray; L Dinc Asarcikli; B Acar; H Demirel Journal: Ann Cardiol Angeiol (Paris) Date: 2015-11-24
Authors: Stefano Menini; Carla Iacobini; Carlo Ricci; Claudia Blasetti Fantauzzi; Laura Salvi; Carlo M Pesce; Michela Relucenti; Giuseppe Familiari; Maurizio Taurino; Giuseppe Pugliese Journal: Cardiovasc Res Date: 2013-08-23 Impact factor: 10.787
Authors: Milène Catoire; Sheril Alex; Nicolas Paraskevopulos; Frits Mattijssen; Inkie Evers-van Gogh; Gert Schaart; Jacob Jeppesen; Anita Kneppers; Marco Mensink; Peter J Voshol; Gunilla Olivecrona; Nguan Soon Tan; Matthijs K C Hesselink; Jimmy F Berbée; Patrick C N Rensen; Eric Kalkhoven; Patrick Schrauwen; Sander Kersten Journal: Proc Natl Acad Sci U S A Date: 2014-03-03 Impact factor: 11.205