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Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization

Atherosclerotic plaque rupture leading to myocardial infarction is a major global health burden. Applying the tandem stenosis (TS) mouse model, which distinctively exhibits the characteristics of human plaque instability/rupture, we use quantitative proteomics to understand and directly compare unst...

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Autores principales: Chen, Yung-Chih, Smith, Meaghan, Ying, Ya-Lan, Makridakis, Manousos, Noonan, Jonathan, Kanellakis, Peter, Rai, Alin, Salim, Agus, Murphy, Andrew, Bobik, Alex, Vlahou, Antonia, Greening, David W., Peter, Karlheinz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011552/
https://www.ncbi.nlm.nih.gov/pubmed/36914713
http://dx.doi.org/10.1038/s42003-023-04641-4
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author Chen, Yung-Chih
Smith, Meaghan
Ying, Ya-Lan
Makridakis, Manousos
Noonan, Jonathan
Kanellakis, Peter
Rai, Alin
Salim, Agus
Murphy, Andrew
Bobik, Alex
Vlahou, Antonia
Greening, David W.
Peter, Karlheinz
author_facet Chen, Yung-Chih
Smith, Meaghan
Ying, Ya-Lan
Makridakis, Manousos
Noonan, Jonathan
Kanellakis, Peter
Rai, Alin
Salim, Agus
Murphy, Andrew
Bobik, Alex
Vlahou, Antonia
Greening, David W.
Peter, Karlheinz
author_sort Chen, Yung-Chih
collection PubMed
description Atherosclerotic plaque rupture leading to myocardial infarction is a major global health burden. Applying the tandem stenosis (TS) mouse model, which distinctively exhibits the characteristics of human plaque instability/rupture, we use quantitative proteomics to understand and directly compare unstable and stable atherosclerosis. Our data highlight the disparate natures and define unique protein signatures of unstable and stable atherosclerosis. Key proteins and pathway networks are identified such as the innate immune system, and neutrophil degranulation. The latter includes calprotectin S100A8/A9, which we validate in mouse and human unstable plaques, and we demonstrate the plaque-stabilizing effects of its inhibition. Overall, we provide critical insights into the unique proteomic landscape of unstable atherosclerosis (as distinct from stable atherosclerosis and vascular tissue). We further establish the TS model as a reliable preclinical tool for the discovery and testing of plaque-stabilizing drugs. Finally, we provide a knowledge resource defining unstable atherosclerosis that will facilitate the identification and validation of long-sought-after therapeutic targets and drugs for plaque stabilization.
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spelling pubmed-100115522023-03-15 Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization Chen, Yung-Chih Smith, Meaghan Ying, Ya-Lan Makridakis, Manousos Noonan, Jonathan Kanellakis, Peter Rai, Alin Salim, Agus Murphy, Andrew Bobik, Alex Vlahou, Antonia Greening, David W. Peter, Karlheinz Commun Biol Article Atherosclerotic plaque rupture leading to myocardial infarction is a major global health burden. Applying the tandem stenosis (TS) mouse model, which distinctively exhibits the characteristics of human plaque instability/rupture, we use quantitative proteomics to understand and directly compare unstable and stable atherosclerosis. Our data highlight the disparate natures and define unique protein signatures of unstable and stable atherosclerosis. Key proteins and pathway networks are identified such as the innate immune system, and neutrophil degranulation. The latter includes calprotectin S100A8/A9, which we validate in mouse and human unstable plaques, and we demonstrate the plaque-stabilizing effects of its inhibition. Overall, we provide critical insights into the unique proteomic landscape of unstable atherosclerosis (as distinct from stable atherosclerosis and vascular tissue). We further establish the TS model as a reliable preclinical tool for the discovery and testing of plaque-stabilizing drugs. Finally, we provide a knowledge resource defining unstable atherosclerosis that will facilitate the identification and validation of long-sought-after therapeutic targets and drugs for plaque stabilization. Nature Publishing Group UK 2023-03-13 /pmc/articles/PMC10011552/ /pubmed/36914713 http://dx.doi.org/10.1038/s42003-023-04641-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chen, Yung-Chih
Smith, Meaghan
Ying, Ya-Lan
Makridakis, Manousos
Noonan, Jonathan
Kanellakis, Peter
Rai, Alin
Salim, Agus
Murphy, Andrew
Bobik, Alex
Vlahou, Antonia
Greening, David W.
Peter, Karlheinz
Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization
title Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization
title_full Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization
title_fullStr Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization
title_full_unstemmed Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization
title_short Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization
title_sort quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011552/
https://www.ncbi.nlm.nih.gov/pubmed/36914713
http://dx.doi.org/10.1038/s42003-023-04641-4
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