Investigating the Association of IL-1beta IL-8 & IL 11 with Commonly used Cardiovascular Biomarkers (CK-MB & Troponin) in Patients with Myocardial Infarction (MI)
Abstract Background: Myocardial infarction is a major cause of death and disability worldwide. The term myocardial infarction should be used when there is an evidence of myocardial necrosis in a clinical setting consistent with myocardial ischemia. Cardiac troponins (cTn) have emerged as the preferred diagnostic biomarkers. If troponin assays are not available, the best alternative is creatine kinase (CK-MB). Numerous studies have reported the ability of various inflammatory biomarkers to predict future cardiovascular events. Therefore, we have decided to investigate inflammatory cytokines (IL-1β, IL-8 & IL-11) to compare with routine biomarkers.Methods: 40 patients who were diagnosed with myocardial Infarction (at the first 24 hours), have voluntarily participated in this research project. 5 cc of whole blood was collected, both myocardial routine biomarkers (Tropinin & CK-MB), serum lipid profiles and blood sugar were evaluated after diagnosis of MI. Meanwhile, we have assessed the serum levels of three Interleukins (IL-1β, IL-8 & IL-11) by ELISA method.Results: First we have assessed blood sugar and all lipid profiles. B.S and HDL were higher in males, while TG, Cholesterol and LDL were higher in females. Our data demonstrated that Troponin continued to increase significantly throughout the 72 hours, while CK-MB fell dramatically over the period in question. Our result also revealed the rise in IL-1β serum levels (after 72 hours of MI diagnosis). However, this was not a significant increment. On the other hand, both IL-8 and IL-11 have followed the same decreasing pattern till the end of experiment. It is interesting to note that IL-8 showed a dramatic fall during the experimental period.Conclusion: We concluded that inflammatory cytokines would be a promising diagnostic biomarkers for MI cases. A noticeable changes of IL-8 plasma levels made it a decent candidate for MI diagnosis and follow-up.