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Cardiovascular Biomarker Profiles in Obesity and Relation to Normalization of Subclinical Cardiac Dysfunction after Bariatric Surgery

Aims: We aimed to gain insight into the underlying pathophysiology of cardiac dysfunction in obesity patients and the improvement of cardiac function after weight loss. Methods: This is a longitudinal study in which 92 cardiovascular biomarkers were measured by multiplex immunoassays in obesity pati...

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Autores principales: Snelder, Sanne M., Pouw, Nadine, Aga, Yaar, Castro Cabezas, Manuel, Biter, L. Ulas, Zijlstra, Felix, Kardys, Isabella, van Dalen, Bas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834585/
https://www.ncbi.nlm.nih.gov/pubmed/35159232
http://dx.doi.org/10.3390/cells11030422
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author Snelder, Sanne M.
Pouw, Nadine
Aga, Yaar
Castro Cabezas, Manuel
Biter, L. Ulas
Zijlstra, Felix
Kardys, Isabella
van Dalen, Bas M.
author_facet Snelder, Sanne M.
Pouw, Nadine
Aga, Yaar
Castro Cabezas, Manuel
Biter, L. Ulas
Zijlstra, Felix
Kardys, Isabella
van Dalen, Bas M.
author_sort Snelder, Sanne M.
collection PubMed
description Aims: We aimed to gain insight into the underlying pathophysiology of cardiac dysfunction in obesity patients and the improvement of cardiac function after weight loss. Methods: This is a longitudinal study in which 92 cardiovascular biomarkers were measured by multiplex immunoassays in obesity patients without known cardiovascular disease, before and one year after bariatric surgery. Results: Out of 100 eligible patients, 72 patients completed the follow-up. A total of 72 (78%) biomarkers changed significantly. The biomarkers with the highest relative changes represented processes linked mainly to insulin resistance and inflammation. In the patients with persistent subclinical cardiac dysfunction, the baseline values of 10 biomarkers were different from values in patients with normalization of cardiac function. Most of these biomarkers were linked to inflammation or atherosclerosis. Finally, a model was developed to investigate the relationship between changes in the biomarkers and persistent subclinical cardiac dysfunction. Seven biomarkers were retained in this model, mainly linked to inflammation, atherosclerosis, and hypercoagulability. Conclusion: The majority (78%) of cardiovascular biomarkers changed, pointing mainly to modulation of insulin resistance and inflammation. The baseline levels of 10 biomarkers, as well as pre- to post-bariatric surgery changes in seven biomarkers, were related to persistent subclinical cardiac dysfunction after bariatric surgery.
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spelling pubmed-88345852022-02-12 Cardiovascular Biomarker Profiles in Obesity and Relation to Normalization of Subclinical Cardiac Dysfunction after Bariatric Surgery Snelder, Sanne M. Pouw, Nadine Aga, Yaar Castro Cabezas, Manuel Biter, L. Ulas Zijlstra, Felix Kardys, Isabella van Dalen, Bas M. Cells Article Aims: We aimed to gain insight into the underlying pathophysiology of cardiac dysfunction in obesity patients and the improvement of cardiac function after weight loss. Methods: This is a longitudinal study in which 92 cardiovascular biomarkers were measured by multiplex immunoassays in obesity patients without known cardiovascular disease, before and one year after bariatric surgery. Results: Out of 100 eligible patients, 72 patients completed the follow-up. A total of 72 (78%) biomarkers changed significantly. The biomarkers with the highest relative changes represented processes linked mainly to insulin resistance and inflammation. In the patients with persistent subclinical cardiac dysfunction, the baseline values of 10 biomarkers were different from values in patients with normalization of cardiac function. Most of these biomarkers were linked to inflammation or atherosclerosis. Finally, a model was developed to investigate the relationship between changes in the biomarkers and persistent subclinical cardiac dysfunction. Seven biomarkers were retained in this model, mainly linked to inflammation, atherosclerosis, and hypercoagulability. Conclusion: The majority (78%) of cardiovascular biomarkers changed, pointing mainly to modulation of insulin resistance and inflammation. The baseline levels of 10 biomarkers, as well as pre- to post-bariatric surgery changes in seven biomarkers, were related to persistent subclinical cardiac dysfunction after bariatric surgery. MDPI 2022-01-26 /pmc/articles/PMC8834585/ /pubmed/35159232 http://dx.doi.org/10.3390/cells11030422 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Snelder, Sanne M.
Pouw, Nadine
Aga, Yaar
Castro Cabezas, Manuel
Biter, L. Ulas
Zijlstra, Felix
Kardys, Isabella
van Dalen, Bas M.
Cardiovascular Biomarker Profiles in Obesity and Relation to Normalization of Subclinical Cardiac Dysfunction after Bariatric Surgery
title Cardiovascular Biomarker Profiles in Obesity and Relation to Normalization of Subclinical Cardiac Dysfunction after Bariatric Surgery
title_full Cardiovascular Biomarker Profiles in Obesity and Relation to Normalization of Subclinical Cardiac Dysfunction after Bariatric Surgery
title_fullStr Cardiovascular Biomarker Profiles in Obesity and Relation to Normalization of Subclinical Cardiac Dysfunction after Bariatric Surgery
title_full_unstemmed Cardiovascular Biomarker Profiles in Obesity and Relation to Normalization of Subclinical Cardiac Dysfunction after Bariatric Surgery
title_short Cardiovascular Biomarker Profiles in Obesity and Relation to Normalization of Subclinical Cardiac Dysfunction after Bariatric Surgery
title_sort cardiovascular biomarker profiles in obesity and relation to normalization of subclinical cardiac dysfunction after bariatric surgery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834585/
https://www.ncbi.nlm.nih.gov/pubmed/35159232
http://dx.doi.org/10.3390/cells11030422
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