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Cardiovascular & Hematological Disorders-Drug Targets

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ISSN (Print): 1871-529X
ISSN (Online): 2212-4063

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Research Article

Factors which Influence the Levels of ST-2, Galectin-3 and MMP-9 in Acute Coronary Syndrome

Author(s): Luxitaa Goenka, Durga Jha, Masum Sharma, V.E. Dhandapani and Melvin George*

Volume 20, Issue 1, 2020

Page: [64 - 73] Pages: 10

DOI: 10.2174/1871529X19666190719104005

Price: $65

Abstract

Background: Several cardiac biomarkers are being studied to explore their potential in the prognostication of Acute Coronary Syndrome (ACS). However, there are limited studies exploring the relationship between these biomarkers and clinical, laboratory and demographic characteristics.

Objective: We sought to determine the factors which influence the concentration of novel cardiac biomarkers such as Galectin-3, suppression of tumorigenicity-2 (ST-2) and Matrix Metallopeptidase-9 (MMP-9) in patients with ACS.

Methods: A total of 122 patients with ACS were enrolled in the study. The study patients were categorized into two groups namely: STEMI (n=58) and NSTEMI/UA (n=64). Plasma samples were used to determine the level of biomarkers, Galectin-3 and ST-2, and serum samples were used to determine the levels of MMP-9 using the Enzyme-linked immunosorbent assay (ELISA). The association between the plasma and serum levels of biomarkers and, demographic, clinical and laboratory variables were determined. Statistical analyses for the study were performed using SPSS 16.0 software (SPSS Inc., Chicago, IL, USA).

Results: Elderly aged [0.107 (0.012-0.969); p=0.047] patients had higher ST-2. Galectin-3 was higher among female patients [3.693(1.253-10.887); p=0.018] and patients with low left ventricular ejection fraction [2.882 (1.041-7.978); p=0.042]. Patients with lower body mass index [3.385 (1.241-9.231); p=0.017], diabetes [3.650 (1.302-10.237); p=0.014] and high total leukocyte count [2.900 (1.114-7.551; p=0.029] had higher MMP-9 levels.

Conclusion: The concentration of galectin-3, ST-2 and MMP-9 are independently influenced by demographic, clinical and laboratory characteristics. It is estimated that these factors should be accounted for when interpreting the results of the biomarker assays.

Keywords: Acute coronary syndrome, galectin-3, ST-2, matrix metallopeptidase-9, biomarkers, diabetes.

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