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Association between proteomic biomarkers and myocardial fibrosis measured by MRI: the multi-ethnic study of atherosclerosis
BACKGROUND: Cardiac magnetic resonance imaging (CMR) determines the extent of interstitial fibrosis, measured by increased extracellular volume (ECV), and replacement fibrosis with late gadolinium myocardial enhancement (LGE). Despite advances in detection, the pathophysiology of subclinical myocard...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006438/ https://www.ncbi.nlm.nih.gov/pubmed/36857966 http://dx.doi.org/10.1016/j.ebiom.2023.104490 |
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author | Bakhshi, Hooman Michelhaugh, Sam A. Bruce, Scott A. Seliger, Stephen L. Qian, Xiaoxiao Ambale Venkatesh, Bharath Varadarajan, Vinithra Bagchi, Pramita Lima, Joao A.C. deFilippi, Christopher |
author_facet | Bakhshi, Hooman Michelhaugh, Sam A. Bruce, Scott A. Seliger, Stephen L. Qian, Xiaoxiao Ambale Venkatesh, Bharath Varadarajan, Vinithra Bagchi, Pramita Lima, Joao A.C. deFilippi, Christopher |
author_sort | Bakhshi, Hooman |
collection | PubMed |
description | BACKGROUND: Cardiac magnetic resonance imaging (CMR) determines the extent of interstitial fibrosis, measured by increased extracellular volume (ECV), and replacement fibrosis with late gadolinium myocardial enhancement (LGE). Despite advances in detection, the pathophysiology of subclinical myocardial fibrosis is incompletely understood. Targeted proteomic discovery technologies enable quantification of low abundance circulating proteins to elucidate cardiac fibrosis mechanisms. METHODS: Using a cross-sectional design, we selected 92 LGE+ cases and 92 LGE− demographically matched controls from the Multi-Ethnic Study of Atherosclerosis. Similarly, we selected 156 cases from the highest ECV quartile and matched with 156 cases from the lowest quartile. The plasma serum proteome was analyzed using proximity extension assays to determine differential regulation of 92 proteins previously implicated with cardiovascular disease. Results were analyzed using volcano plots of statistical significance vs. magnitude of change and Bayesian additive regression tree (BART) models to determine importance. FINDINGS: After adjusting for false discovery, higher ECV was significantly associated with 17 proteins. Using BART, Plasminogen activator inhibitor 1, Insulin-like growth factor-binding protein 1, and N-terminal pro-B-type natriuretic peptide were associated with higher ECV after accounting for other proteins and traditional cardiovascular risk factors. In contrast, no circulating proteins were associated with replacement fibrosis. INTERPRETATIONS: Our results suggest unique circulating proteomic signatures associated with interstitial fibrosis emphasizing its systemic influences. With future validation, protein panels may identify patients who may develop interstitial fibrosis with progression to heart failure. FUNDING: This research was supported by contracts and grants from 10.13039/100000050NHLBI, 10.13039/100006180NCATS and the Inova Heart and Vascular Institute. |
format | Online Article Text |
id | pubmed-10006438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100064382023-03-12 Association between proteomic biomarkers and myocardial fibrosis measured by MRI: the multi-ethnic study of atherosclerosis Bakhshi, Hooman Michelhaugh, Sam A. Bruce, Scott A. Seliger, Stephen L. Qian, Xiaoxiao Ambale Venkatesh, Bharath Varadarajan, Vinithra Bagchi, Pramita Lima, Joao A.C. deFilippi, Christopher eBioMedicine Articles BACKGROUND: Cardiac magnetic resonance imaging (CMR) determines the extent of interstitial fibrosis, measured by increased extracellular volume (ECV), and replacement fibrosis with late gadolinium myocardial enhancement (LGE). Despite advances in detection, the pathophysiology of subclinical myocardial fibrosis is incompletely understood. Targeted proteomic discovery technologies enable quantification of low abundance circulating proteins to elucidate cardiac fibrosis mechanisms. METHODS: Using a cross-sectional design, we selected 92 LGE+ cases and 92 LGE− demographically matched controls from the Multi-Ethnic Study of Atherosclerosis. Similarly, we selected 156 cases from the highest ECV quartile and matched with 156 cases from the lowest quartile. The plasma serum proteome was analyzed using proximity extension assays to determine differential regulation of 92 proteins previously implicated with cardiovascular disease. Results were analyzed using volcano plots of statistical significance vs. magnitude of change and Bayesian additive regression tree (BART) models to determine importance. FINDINGS: After adjusting for false discovery, higher ECV was significantly associated with 17 proteins. Using BART, Plasminogen activator inhibitor 1, Insulin-like growth factor-binding protein 1, and N-terminal pro-B-type natriuretic peptide were associated with higher ECV after accounting for other proteins and traditional cardiovascular risk factors. In contrast, no circulating proteins were associated with replacement fibrosis. INTERPRETATIONS: Our results suggest unique circulating proteomic signatures associated with interstitial fibrosis emphasizing its systemic influences. With future validation, protein panels may identify patients who may develop interstitial fibrosis with progression to heart failure. FUNDING: This research was supported by contracts and grants from 10.13039/100000050NHLBI, 10.13039/100006180NCATS and the Inova Heart and Vascular Institute. Elsevier 2023-02-28 /pmc/articles/PMC10006438/ /pubmed/36857966 http://dx.doi.org/10.1016/j.ebiom.2023.104490 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Bakhshi, Hooman Michelhaugh, Sam A. Bruce, Scott A. Seliger, Stephen L. Qian, Xiaoxiao Ambale Venkatesh, Bharath Varadarajan, Vinithra Bagchi, Pramita Lima, Joao A.C. deFilippi, Christopher Association between proteomic biomarkers and myocardial fibrosis measured by MRI: the multi-ethnic study of atherosclerosis |
title | Association between proteomic biomarkers and myocardial fibrosis measured by MRI: the multi-ethnic study of atherosclerosis |
title_full | Association between proteomic biomarkers and myocardial fibrosis measured by MRI: the multi-ethnic study of atherosclerosis |
title_fullStr | Association between proteomic biomarkers and myocardial fibrosis measured by MRI: the multi-ethnic study of atherosclerosis |
title_full_unstemmed | Association between proteomic biomarkers and myocardial fibrosis measured by MRI: the multi-ethnic study of atherosclerosis |
title_short | Association between proteomic biomarkers and myocardial fibrosis measured by MRI: the multi-ethnic study of atherosclerosis |
title_sort | association between proteomic biomarkers and myocardial fibrosis measured by mri: the multi-ethnic study of atherosclerosis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006438/ https://www.ncbi.nlm.nih.gov/pubmed/36857966 http://dx.doi.org/10.1016/j.ebiom.2023.104490 |
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