Evidence map›Paper›PMID 36914713›Full record

ArticleCommunications biology2023

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

Yung-Chih Chen, Meaghan Smith, Ya-Lan Ying, Manousos Makridakis, Jonathan Noonan, Peter Kanellakis, Alin Rai, Agus Salim, Andrew Murphy, Alex Bobik and 3 more

Open access · goldFull text read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

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  11. Polymeric Nanomaterials for Atherosclerosis Diagnosis and Treatment.Polymer science & technology (Washington, D.C.) · 2025
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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

13 authors at 2 institutions in 2 countries.

Yung-Chih ChenAtherothrombosis and Vascular Biology Program, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.ORCID 0000-0002-5387-5818
Meaghan SmithAtherothrombosis and Vascular Biology Program, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Ya-Lan YingAtherothrombosis and Vascular Biology Program, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Manousos MakridakisProteomics Research Unit, Biotechnology Division, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Jonathan NoonanAtherothrombosis and Vascular Biology Program, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Peter KanellakisAtherothrombosis and Vascular Biology Program, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Alin RaiDepartment of Cardiometabolic Health, University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0001-7994-5151
Agus SalimDepartment of Bioinformatics, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Andrew MurphyCentral Clinical School, Monash University, Melbourne, VIC, Australia.
Alex BobikAtherothrombosis and Vascular Biology Program, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Antonia VlahouProteomics Research Unit, Biotechnology Division, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.ORCID 0000-0003-3284-5713
David W GreeningCentral Clinical School, Monash University, Melbourne, VIC, Australia. David.Greening@baker.edu.au.ORCID 0000-0001-7516-485X
Karlheinz PeterAtherothrombosis and Vascular Biology Program, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia. Karlheinz.Peter@baker.edu.au.
Baker Heart and Diabetes Institute · AUBiomedical Research Foundation of the Academy of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AtherosclerosisPlaque, AtheroscleroticAnimalsDisease Models, AnimalHumansMiceProteomics

Identifiers

PMID36914713
PMCPMC10011552
OpenAlexW4324056672

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read85
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.