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Diagnostic approaches for diabetic cardiomyopathy

Diabetic cardiomyopathy (DCM) is a cardiac dysfunction which affects approximately 12% of diabetic patients, leading to overt heart failure and death. However, there is not an efficient and specific methodology for DCM diagnosis, possibly because molecular mechanisms are not fully elucidated, and it...

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Autores principales: Lorenzo-Almorós, A., Tuñón, J., Orejas, M., Cortés, M., Egido, J., Lorenzo, Ó.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324262/
https://www.ncbi.nlm.nih.gov/pubmed/28231848
http://dx.doi.org/10.1186/s12933-017-0506-x
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author Lorenzo-Almorós, A.
Tuñón, J.
Orejas, M.
Cortés, M.
Egido, J.
Lorenzo, Ó.
author_facet Lorenzo-Almorós, A.
Tuñón, J.
Orejas, M.
Cortés, M.
Egido, J.
Lorenzo, Ó.
author_sort Lorenzo-Almorós, A.
collection PubMed
description Diabetic cardiomyopathy (DCM) is a cardiac dysfunction which affects approximately 12% of diabetic patients, leading to overt heart failure and death. However, there is not an efficient and specific methodology for DCM diagnosis, possibly because molecular mechanisms are not fully elucidated, and it remains asymptomatic for many years. Also, DCM frequently coexists with other comorbidities such as hypertension, obesity, dyslipidemia, and vasculopathies. Thus, human DCM is not specifically identified after heart failure is established. In this sense, echocardiography has been traditionally considered the gold standard imaging test to evaluate the presence of cardiac dysfunction, although other techniques may cover earlier DCM detection by quantification of altered myocardial metabolism and strain. In this sense, Phase-Magnetic Resonance Imaging and 2D/3D-Speckle Tracking Echocardiography may potentially diagnose and stratify diabetic patients. Additionally, this information could be completed with a quantification of specific plasma biomarkers related to related to initial stages of the disease. Cardiotrophin-1, activin A, insulin-like growth factor binding protein-7 (IGFBP-7) and Heart fatty-acid binding protein have demonstrated a stable positive correlation with cardiac hypertrophy, contractibility and steatosis responses. Thus, we suggest a combination of minimally-invasive diagnosis tools for human DCM recognition based on imaging techniques and measurements of related plasma biomarkers.
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spelling pubmed-53242622017-03-01 Diagnostic approaches for diabetic cardiomyopathy Lorenzo-Almorós, A. Tuñón, J. Orejas, M. Cortés, M. Egido, J. Lorenzo, Ó. Cardiovasc Diabetol Review Diabetic cardiomyopathy (DCM) is a cardiac dysfunction which affects approximately 12% of diabetic patients, leading to overt heart failure and death. However, there is not an efficient and specific methodology for DCM diagnosis, possibly because molecular mechanisms are not fully elucidated, and it remains asymptomatic for many years. Also, DCM frequently coexists with other comorbidities such as hypertension, obesity, dyslipidemia, and vasculopathies. Thus, human DCM is not specifically identified after heart failure is established. In this sense, echocardiography has been traditionally considered the gold standard imaging test to evaluate the presence of cardiac dysfunction, although other techniques may cover earlier DCM detection by quantification of altered myocardial metabolism and strain. In this sense, Phase-Magnetic Resonance Imaging and 2D/3D-Speckle Tracking Echocardiography may potentially diagnose and stratify diabetic patients. Additionally, this information could be completed with a quantification of specific plasma biomarkers related to related to initial stages of the disease. Cardiotrophin-1, activin A, insulin-like growth factor binding protein-7 (IGFBP-7) and Heart fatty-acid binding protein have demonstrated a stable positive correlation with cardiac hypertrophy, contractibility and steatosis responses. Thus, we suggest a combination of minimally-invasive diagnosis tools for human DCM recognition based on imaging techniques and measurements of related plasma biomarkers. BioMed Central 2017-02-23 /pmc/articles/PMC5324262/ /pubmed/28231848 http://dx.doi.org/10.1186/s12933-017-0506-x Text en © The Author(s) 2017 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 Review
Lorenzo-Almorós, A.
Tuñón, J.
Orejas, M.
Cortés, M.
Egido, J.
Lorenzo, Ó.
Diagnostic approaches for diabetic cardiomyopathy
title Diagnostic approaches for diabetic cardiomyopathy
title_full Diagnostic approaches for diabetic cardiomyopathy
title_fullStr Diagnostic approaches for diabetic cardiomyopathy
title_full_unstemmed Diagnostic approaches for diabetic cardiomyopathy
title_short Diagnostic approaches for diabetic cardiomyopathy
title_sort diagnostic approaches for diabetic cardiomyopathy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324262/
https://www.ncbi.nlm.nih.gov/pubmed/28231848
http://dx.doi.org/10.1186/s12933-017-0506-x
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