Evidence map›Paper›PMID 42332205›Full record

ArticleNature cardiovascular research2026

Proteomics reveals spatial and molecular heterogeneities in advanced atherosclerotic carotid artery plaques.

Ankit Sinha, Nadja Sachs, Elena Kratz, Jessica Pauli, Sophia Steigerwald, Vincent Albrecht, Thierry M Nordmann, Enes Ugur, Edwin H Rodriguez, Marie-Luise Engl and 10 more

Abstract read
In one paragraph

Article in Nature cardiovascular research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

20 authors.

Ankit Sinha *Max Planck Institute of Biochemistry, Martinsried, Germany.
Nadja Sachs *German Centre for Cardiovascular Research (DZHK) Partner site Munich Heart Alliance, Munich, Germany.ORCID http://orcid.org/0000-0001-8031-017X
Elena KratzMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0009-0001-6187-3660
Jessica PauliGerman Centre for Cardiovascular Research (DZHK) Partner site Munich Heart Alliance, Munich, Germany.ORCID http://orcid.org/0000-0001-5984-3529
Sophia SteigerwaldMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0002-7513-1131
Vincent AlbrechtMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0009-0003-1985-7733
Thierry M NordmannMax Planck Institute of Biochemistry, Martinsried, Germany.
Enes UgurMax Planck Institute of Biochemistry, Martinsried, Germany.
Edwin H RodriguezMax Planck Institute of Biochemistry, Martinsried, Germany.
Marie-Luise EnglDepartment for Vascular and Endovascular Surgery, TUM Klinikum, Technical University Munich, Munich, Germany.
Patricia SkowronekMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0002-8441-6067
Denys OliinykMax Planck Institute of Biochemistry, Martinsried, Germany.
Andreas MetousisMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0002-1043-6591
Moritz von ScheidtGerman Centre for Cardiovascular Research (DZHK) Partner site Munich Heart Alliance, Munich, Germany.ORCID http://orcid.org/0000-0001-7159-8271
Michael WiererMax Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0002-0356-5571
Hanna WinterGerman Centre for Cardiovascular Research (DZHK) Partner site Munich Heart Alliance, Munich, Germany.ORCID http://orcid.org/0000-0001-8110-8627
Heribert SchunkertGerman Centre for Cardiovascular Research (DZHK) Partner site Munich Heart Alliance, Munich, Germany.ORCID http://orcid.org/0000-0001-6428-3001
Daniela BranzanDepartment for Vascular and Endovascular Surgery, TUM Klinikum, Technical University Munich, Munich, Germany.
Lars Maegdefessel *German Centre for Cardiovascular Research (DZHK) Partner site Munich Heart Alliance, Munich, Germany. lars.maegdefessel@tum.de.ORCID http://orcid.org/0000-0001-5228-2634
Matthias Mann *Max Planck Institute of Biochemistry, Martinsried, Germany. mmann@biochem.mpg.de.ORCID http://orcid.org/0000-0003-1292-4799

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) CRC1123
6 · The paper itself

Abstract

Atherosclerotic plaque rupture is a major cause of cerebrovascular events, yet the molecular determinants underlying vulnerability-related plaque morphology, including fibrous-cap thickness, remain incompletely defined. Using histomorphology-guided spatial proteomics, here we delineate molecular programs associated with plaque cap phenotype across discrete plaque subregions. In 112 carotid endarterectomy specimens, differences between thin-cap and thick-cap plaques were predominantly localized to the necrotic core and fibrous cap. These differences were enriched for processes related to inflammation, lipid handling, extracellular matrix remodeling and ossification/calcification, and supported the presence of proteome-based plaque subtypes. PCSK9 was among the proteins most strongly associated with thin-cap plaques. Consistently, an in vitro model of necrotic core-like oxidative and inflammatory stress increased PCSK9 secretion in primary vascular smooth muscle cells. Together, these findings localize molecular programs associated with cap phenotype to plaque compartments and provide a framework for spatially informed biomarker discovery in advanced carotid atherosclerosis.

Indexed as

Carotid ArteriesCarotid Artery DiseasesPlaque, AtheroscleroticProteomicsBiomarkersCells, CulturedEndarterectomy, CarotidHumansMuscle, Smooth, VascularMyocytes, Smooth MuscleNecrosisOxidative StressPhenotypeProprotein Convertase 9BiomarkersPCSK9 protein, humanProprotein Convertase 9

Identifiers

PMID42332205
PMCPMC13368601

What OpenQuestion holds

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Registered trials

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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.