Evidence map›Paper›PMID 35280433›Full record

ArticleJVS-vascular science2022

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

Louis Saddic, Amanda Orosco, Dongchuan Guo, Dianna M Milewicz, Dana Troxlair, Richard Vander Heide, David Herrington, Yue Wang, Ali Azizzadeh, Sarah J Parker

Open access · goldAbstract read
In one paragraph

Article in JVS-vascular science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  7. An Eye into the Aorta: The Role of Extracellular Matrix Regulatory GenesInternational journal of molecular sciences · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 1 country.

Louis SaddicDepartment of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, Calif.
Amanda OroscoDepartment of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, Calif.
Dongchuan GuoDepartment of Internal Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Tex.
Dianna M MilewiczDepartment of Internal Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Tex.
Dana TroxlairDepartment of Pathology, Louisiana State University, New Orleans, La.
Richard Vander HeideDepartment of Pathology, Louisiana State University, New Orleans, La.
David HerringtonDepartment of Cardiovascular Medicine, Wake Forest University, Winston-Salem, NC.
Yue WangDepartment of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, Va.
Ali AzizzadehDepartment of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, Calif.
Sarah J ParkerDepartment of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, Calif.
Cedars-Sinai Medical Center · USLouisiana State University · USThe University of Texas Health Science Center at Houston · USCedars-Sinai Smidt Heart Institute · USUniversity of California, Los Angeles · USVirginia Tech · USWake Forest University · US

Funding

Genomic and Proteomic Architecture of AtherosclerosisR01HL111362 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HERRINGTON, DAVID MCLEOD · 2012 to 2021
$17.2M
Pathology and Molecular Imaging CoreP01HL110869 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MILEWICZ, DIANNA M · 2012 to 2016
$10.4M
Novel genetic Insight into the molecular pathogenesis of atherosclerosisR01HL146583 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MILEWICZ, DIANNA M · 2019 to 2022
$2.6M
Mapping the Angiotensin II-TGFB-Integrin Signaling Triad to reveal Therapeutic Targets in Aortic AneurysmR00HL128787 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI PARKER, SARAH J · 2018 to 2020
$733k
NHLBI NIH HHS P01 HL110869NHLBI NIH HHS R00 HL128787NHLBI NIH HHS R01 HL111362NHLBI NIH HHS R01 HL146583
6 · The paper itself

Abstract

Objective: 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. Methods: 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. Results: 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. Conclusions: 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.

Indexed as

AneurysmDescending thoracic aortaDissectionProteomics

Identifiers

PMID35280433
PMCPMC8914561
OpenAlexW4206955147

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.