Proteomic analysis of descending thoracic aorta identifies unique and universal signatures of aneurysm and dissection.

Aneurysm Descending thoracic aorta Dissection Proteomics

Journal

JVS-vascular science
ISSN: 2666-3503
Titre abrégé: JVS Vasc Sci
Pays: United States
ID NLM: 101767073

Informations de publication

Date de publication:
2022
Historique:
received: 21 07 2021
accepted: 05 01 2022
entrez: 14 3 2022
pubmed: 15 3 2022
medline: 15 3 2022
Statut: epublish

Résumé

Very few clinical predictors of descending thoracic aorta dissection have been determined. Although aneurysms can dissect in a size-dependent process, most descending dissections will occur without prior enlargement. We compared the proteomic profiles of normal, dissected, aneurysm, and both aneurysm and dissected descending thoracic aortas to identify novel biomarkers and further understand the molecular pathways that lead to tissue at risk of dissection. We performed proteomic profiling of descending thoracic aortas with four phenotypes: normal (n = 46), aneurysm (n = 22), dissected (n = 12), and combined aneurysm and dissection (n = 8). Pairwise differential protein expression analyses using a Bayesian approach were then performed to identify common proteins that were dysregulated between each diseased tissue type and control aorta and to uncover unique proteins between aneurysmal and dissected aortas. Network and Markov cluster algorithms of differentially expressed proteins were used to find enriched ontology processes. A convex analysis of mixtures was also performed to identify the molecular subtypes within the different tissue types. The diseased aortas had 71 common differentially expressed proteins compared with the control, including higher amounts of the protein thrombospondin 1. We found 42 differentially expressed proteins between the aneurysm and dissected tissue, with an abundance of apolipoproteins in the former and higher quantities of extracellular matrix proteins in the latter. The convex analysis of mixtures showed enhancement of a molecular subtype enriched in contractile proteins within the control tissue compared with the diseased tissue, in addition to increased proportions of molecular subtypes enriched in inflammation and red blood cell expression in the aneurysmal compared with the dissected tissue. We found some overlapping differentially expressed proteins in aneurysmal and nonaneurysmal descending thoracic aortas at risk of dissection compared with normal aortas. However, we also found uniquely altered molecular pathways that might uncover mechanisms for dissection.

Identifiants

pubmed: 35280433
doi: 10.1016/j.jvssci.2022.01.001
pii: S2666-3503(22)00001-3
pmc: PMC8914561
doi:

Types de publication

Journal Article

Langues

eng

Pagination

85-181

Subventions

Organisme : NHLBI NIH HHS
ID : P01 HL110869
Pays : United States
Organisme : NHLBI NIH HHS
ID : R00 HL128787
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL111362
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL146583
Pays : United States

Informations de copyright

© 2022 by the Society for Vascular Surgery. Published by Elsevier Inc.

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Auteurs

Louis Saddic (L)

Department of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, Calif.

Amanda Orosco (A)

Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, Calif.

Dongchuan Guo (D)

Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Tex.

Dianna M Milewicz (DM)

Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Tex.

Dana Troxlair (D)

Department of Pathology, Louisiana State University, New Orleans, La.

Richard Vander Heide (RV)

Department of Pathology, Louisiana State University, New Orleans, La.

David Herrington (D)

Department of Cardiovascular Medicine, Wake Forest University, Winston-Salem, NC.

Yue Wang (Y)

Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, Va.

Ali Azizzadeh (A)

Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, Calif.

Sarah J Parker (SJ)

Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, Calif.

Classifications MeSH