Altered hematological, biochemical and immunological parameters as predictive biomarkers of severity in experimental myocardial infarction

Abstract

Preclinical studies in cardiovascular medicine are necessary to translate basic research to the clinic. The porcine model has been widely used to understand the biological mechanisms involved in cardiovascular disorders for which purpose different closed-chest models have been developed in the last years to mimic the pathophysiological events seen in human myocardial infarction. In this work, we studied hematological, biochemical and immunological parameters, as well as Magnetic resonance derived cardiac function measurements obtained from a swine myocardial infarction model. We identified some blood parameters which were significantly altered after myocardial infarction induction. More importantly, these parameters (gamma-glutamyl transferase, glutamic pyruvic transaminase, red blood cell counts, hemoglobin concentration, hematocrit, platelet count and plateletcrit) correlated positively with cardiac function, infarct size and/or cardiac enzymes (troponin I and creatine kinase-MB). Thus several blood-derived parameters have allowed us to predict the severity of myocardial infarction in a clinically relevant animal model. Therefore, here we provide a simple, affordable and reliable way that could prove useful in the follow up of myocardial infarction and in the evaluation of new therapeutic strategies in this animal model.

Preclinical studies in cardiovascular medicine are necessary to translate basic research to the clinic. The porcine model has been widely used to understand the biological mechanisms involved in cardiovascular disorders for which purpose different closed-chest models have been developed in the last years to mimic the pathophysiological events seen in human myocardial infarction. In this work, we studied hematological, biochemical and immunological parameters, as well as Magnetic resonance derived cardiac function measurements obtained from a swine myocardial infarction model. We identified some blood parameters which were significantly altered after myocardial infarction induction. More importantly, these parameters (gamma-glutamyl transferase, glutamic pyruvic transaminase, red blood cell counts, hemoglobin concentration, hematocrit, platelet count and plateletcrit) correlated positively with cardiac function, infarct size and/or cardiac enzymes (troponin I and creatine kinase-MB). Thus several blood-derived parameters have allowed us to predict the severity of myocardial infarction in a clinically relevant animal model. Therefore, here we provide a simple, affordable and reliable way that could prove useful in the follow up of myocardial infarction and in the evaluation of new therapeutic strategies in this animal model.