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Identification of very early inflammatory markers in a porcine myocardial infarction model

BACKGROUND: Acute myocardial infarction (AMI) is one of the most deleterious conditions leading to cardiovascular diseases and mortality. The importance of an early and accurate diagnosis assures immediate medical treatments, which are fundamental to reduce mortality and improve prognoses. AMI is as...

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Autores principales: López, Esther, Sánchez-Margallo, Francisco Miguel, Álvarez, Verónica, Blázquez, Rebeca, Marinaro, Federica, Abad, Ana, Martín, Helena, Báez, Claudia, Blanco, Virginia, Crisóstomo, Verónica, Casado, Javier García
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427889/
https://www.ncbi.nlm.nih.gov/pubmed/30898123
http://dx.doi.org/10.1186/s12917-019-1837-5
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author López, Esther
Sánchez-Margallo, Francisco Miguel
Álvarez, Verónica
Blázquez, Rebeca
Marinaro, Federica
Abad, Ana
Martín, Helena
Báez, Claudia
Blanco, Virginia
Crisóstomo, Verónica
Casado, Javier García
author_facet López, Esther
Sánchez-Margallo, Francisco Miguel
Álvarez, Verónica
Blázquez, Rebeca
Marinaro, Federica
Abad, Ana
Martín, Helena
Báez, Claudia
Blanco, Virginia
Crisóstomo, Verónica
Casado, Javier García
author_sort López, Esther
collection PubMed
description BACKGROUND: Acute myocardial infarction (AMI) is one of the most deleterious conditions leading to cardiovascular diseases and mortality. The importance of an early and accurate diagnosis assures immediate medical treatments, which are fundamental to reduce mortality and improve prognoses. AMI is associated to an inflammatory response which includes the increase of circulating inflammatory cytokines, chemokines and immune cell activation. This study aimed to identify which are the very early immune-related biomarkers that may be used as predictors of myocardial infarction severity. In order to mimic the pathophysiological events involved in human myocardial infarction, a temporary occlusion (90 min) of the mid-left anterior descending coronary artery was performed in a swine animal model. RESULTS: Lymphocyte subsets analysis in peripheral blood revealed significant alterations in CD4+/CD8+ ratio and naïve and effector/memory T cell percentages at 1 h post-myocardial infarction. Changes in TH1/TH2-related cytokine, monocyte and neutrophil markers gene expression were observed in peripheral blood lymphocytes, as well. Additionally, significant correlations between cardiac parameters (cardiac enzymes, left ventricular ejection fraction and % infarct) and blood-derived parameters (cytokine expression and lymphocyte subset distribution) were found. CONCLUSIONS: Peripheral blood lymphocyte alterations are easily and swiftly detectable, so they may be good biomarkers for a very early prognosis and to predict myocardial infarction severity.
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spelling pubmed-64278892019-04-01 Identification of very early inflammatory markers in a porcine myocardial infarction model López, Esther Sánchez-Margallo, Francisco Miguel Álvarez, Verónica Blázquez, Rebeca Marinaro, Federica Abad, Ana Martín, Helena Báez, Claudia Blanco, Virginia Crisóstomo, Verónica Casado, Javier García BMC Vet Res Research Article BACKGROUND: Acute myocardial infarction (AMI) is one of the most deleterious conditions leading to cardiovascular diseases and mortality. The importance of an early and accurate diagnosis assures immediate medical treatments, which are fundamental to reduce mortality and improve prognoses. AMI is associated to an inflammatory response which includes the increase of circulating inflammatory cytokines, chemokines and immune cell activation. This study aimed to identify which are the very early immune-related biomarkers that may be used as predictors of myocardial infarction severity. In order to mimic the pathophysiological events involved in human myocardial infarction, a temporary occlusion (90 min) of the mid-left anterior descending coronary artery was performed in a swine animal model. RESULTS: Lymphocyte subsets analysis in peripheral blood revealed significant alterations in CD4+/CD8+ ratio and naïve and effector/memory T cell percentages at 1 h post-myocardial infarction. Changes in TH1/TH2-related cytokine, monocyte and neutrophil markers gene expression were observed in peripheral blood lymphocytes, as well. Additionally, significant correlations between cardiac parameters (cardiac enzymes, left ventricular ejection fraction and % infarct) and blood-derived parameters (cytokine expression and lymphocyte subset distribution) were found. CONCLUSIONS: Peripheral blood lymphocyte alterations are easily and swiftly detectable, so they may be good biomarkers for a very early prognosis and to predict myocardial infarction severity. BioMed Central 2019-03-12 /pmc/articles/PMC6427889/ /pubmed/30898123 http://dx.doi.org/10.1186/s12917-019-1837-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
López, Esther
Sánchez-Margallo, Francisco Miguel
Álvarez, Verónica
Blázquez, Rebeca
Marinaro, Federica
Abad, Ana
Martín, Helena
Báez, Claudia
Blanco, Virginia
Crisóstomo, Verónica
Casado, Javier García
Identification of very early inflammatory markers in a porcine myocardial infarction model
title Identification of very early inflammatory markers in a porcine myocardial infarction model
title_full Identification of very early inflammatory markers in a porcine myocardial infarction model
title_fullStr Identification of very early inflammatory markers in a porcine myocardial infarction model
title_full_unstemmed Identification of very early inflammatory markers in a porcine myocardial infarction model
title_short Identification of very early inflammatory markers in a porcine myocardial infarction model
title_sort identification of very early inflammatory markers in a porcine myocardial infarction model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427889/
https://www.ncbi.nlm.nih.gov/pubmed/30898123
http://dx.doi.org/10.1186/s12917-019-1837-5
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