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A Proteomic Atlas of Cardiac Amyloid Plaques

BACKGROUND: In vivo mechanisms of amyloid clearance and cardiac tissue damage in cardiac amyloidosis are not well understood. OBJECTIVES: We aimed to define and quantify the amyloid plaque proteome in cardiac transthyretin amyloidosis (ATTR) and light chain amyloidosis (AL) and identify associations...

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Autores principales: Kourelis, Taxiarchis V., Dasari, Surendra S., Dispenzieri, Angela, Maleszewski, Joseph J., Redfield, Margaret M., Fayyaz, Ahmed U., Grogan, Martha, Ramirez-Alvarado, Marina, Abou Ezzeddine, Omar F., McPhail, Ellen D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839979/
https://www.ncbi.nlm.nih.gov/pubmed/33511353
http://dx.doi.org/10.1016/j.jaccao.2020.08.013
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author Kourelis, Taxiarchis V.
Dasari, Surendra S.
Dispenzieri, Angela
Maleszewski, Joseph J.
Redfield, Margaret M.
Fayyaz, Ahmed U.
Grogan, Martha
Ramirez-Alvarado, Marina
Abou Ezzeddine, Omar F.
McPhail, Ellen D.
author_facet Kourelis, Taxiarchis V.
Dasari, Surendra S.
Dispenzieri, Angela
Maleszewski, Joseph J.
Redfield, Margaret M.
Fayyaz, Ahmed U.
Grogan, Martha
Ramirez-Alvarado, Marina
Abou Ezzeddine, Omar F.
McPhail, Ellen D.
author_sort Kourelis, Taxiarchis V.
collection PubMed
description BACKGROUND: In vivo mechanisms of amyloid clearance and cardiac tissue damage in cardiac amyloidosis are not well understood. OBJECTIVES: We aimed to define and quantify the amyloid plaque proteome in cardiac transthyretin amyloidosis (ATTR) and light chain amyloidosis (AL) and identify associations with patient characteristics and outcomes. METHODS: A proteomics approach was used to identify all proteins in cardiac amyloid plaques, and to compare both normal and diseased controls. All proteins identified within amyloid plaques were defined as the expanded proteome; only proteins that were enriched in comparison to normal and disease controls were defined as the amyloid-specific proteome. RESULTS: Proteomic data from 292 patients with ATTR and 139 patients with AL cardiac amyloidosis were included; 160 and 161 unique proteins were identified in the expanded proteomes, respectively. In the amyloid-specific proteomes, we identified 28 proteins in ATTR, 19 in AL amyloidosis, with 13 proteins overlapping between ATTR and AL. ATTR was characterized by a higher abundance of complement and contractile proteins and AL by a higher abundance of keratins. We found that the proteome of kappa AL had higher levels of clusterin, a protective chaperone, and lower levels of light chains than lambda despite higher levels of circulating light chains. Hierarchical clustering identified a group of patients with worse survival in ATTR, characterized by high levels of PIK3C3, a protein with a central role in autophagy. CONCLUSIONS: Cardiac AL and ATTR have both common and distinct pathogenetic mechanisms of tissue damage. Our findings suggest that autophagy represents a pathway that may be impaired in ATTR and should be further studied.
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spelling pubmed-78399792021-01-27 A Proteomic Atlas of Cardiac Amyloid Plaques Kourelis, Taxiarchis V. Dasari, Surendra S. Dispenzieri, Angela Maleszewski, Joseph J. Redfield, Margaret M. Fayyaz, Ahmed U. Grogan, Martha Ramirez-Alvarado, Marina Abou Ezzeddine, Omar F. McPhail, Ellen D. JACC CardioOncol Original Research BACKGROUND: In vivo mechanisms of amyloid clearance and cardiac tissue damage in cardiac amyloidosis are not well understood. OBJECTIVES: We aimed to define and quantify the amyloid plaque proteome in cardiac transthyretin amyloidosis (ATTR) and light chain amyloidosis (AL) and identify associations with patient characteristics and outcomes. METHODS: A proteomics approach was used to identify all proteins in cardiac amyloid plaques, and to compare both normal and diseased controls. All proteins identified within amyloid plaques were defined as the expanded proteome; only proteins that were enriched in comparison to normal and disease controls were defined as the amyloid-specific proteome. RESULTS: Proteomic data from 292 patients with ATTR and 139 patients with AL cardiac amyloidosis were included; 160 and 161 unique proteins were identified in the expanded proteomes, respectively. In the amyloid-specific proteomes, we identified 28 proteins in ATTR, 19 in AL amyloidosis, with 13 proteins overlapping between ATTR and AL. ATTR was characterized by a higher abundance of complement and contractile proteins and AL by a higher abundance of keratins. We found that the proteome of kappa AL had higher levels of clusterin, a protective chaperone, and lower levels of light chains than lambda despite higher levels of circulating light chains. Hierarchical clustering identified a group of patients with worse survival in ATTR, characterized by high levels of PIK3C3, a protein with a central role in autophagy. CONCLUSIONS: Cardiac AL and ATTR have both common and distinct pathogenetic mechanisms of tissue damage. Our findings suggest that autophagy represents a pathway that may be impaired in ATTR and should be further studied. Elsevier 2020-11-17 /pmc/articles/PMC7839979/ /pubmed/33511353 http://dx.doi.org/10.1016/j.jaccao.2020.08.013 Text en © 2020 The Authors 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 Original Research
Kourelis, Taxiarchis V.
Dasari, Surendra S.
Dispenzieri, Angela
Maleszewski, Joseph J.
Redfield, Margaret M.
Fayyaz, Ahmed U.
Grogan, Martha
Ramirez-Alvarado, Marina
Abou Ezzeddine, Omar F.
McPhail, Ellen D.
A Proteomic Atlas of Cardiac Amyloid Plaques
title A Proteomic Atlas of Cardiac Amyloid Plaques
title_full A Proteomic Atlas of Cardiac Amyloid Plaques
title_fullStr A Proteomic Atlas of Cardiac Amyloid Plaques
title_full_unstemmed A Proteomic Atlas of Cardiac Amyloid Plaques
title_short A Proteomic Atlas of Cardiac Amyloid Plaques
title_sort proteomic atlas of cardiac amyloid plaques
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839979/
https://www.ncbi.nlm.nih.gov/pubmed/33511353
http://dx.doi.org/10.1016/j.jaccao.2020.08.013
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