Evidence map›Paper›PMID 41167886›Full record

ReviewAnalytica chimica acta2025

Multimodal landscape of atherosclerotic plaques: A spatial omics approach with mass spectrometry imaging.

Robin Joshi, Soon Yew Tang, Ujjalkumar Subhash Das, Daniel J Boehmler, Antonijo Mrčela, Ronan Lordan, E James Petersson, Aalim M Weljie, Garret A FitzGerald

Abstract readReview
In one paragraph

Review in Analytica chimica acta, 2025. 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. Review
  2. Article
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

9 authors.

Robin JoshiInstitute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Soon Yew TangInstitute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ujjalkumar Subhash DasInstitute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Daniel J BoehmlerDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA, USA.
Antonijo MrčelaInstitute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ronan LordanInstitute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
E James PeterssonDepartment of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
Aalim M WeljieDepartment of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA, USA.
Garret A FitzGeraldInstitute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: garret@upenn.edu.

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Bruker RapifleX MALDI TOF/TOF Mass SpectrometerS10OD030460 · OD · UNIVERSITY OF PENNSYLVANIA · PI PETERSSON, ERNEST JAMES · 2021 to 2021
$881k
NCATS NIH HHS UL1 TR001878NIH HHS S10 OD030460
6 · The paper itself

Abstract

Atherosclerotic plaques are complex and heterogeneous structures, originating as fatty streaks in the vasculature and formed by the accumulation of lipids and foam cells. Over time, these lesions progress as inflammation, smooth muscle cell proliferation and phenotypic switching, and extracellular matrix deposition contribute to plaque growth, culminating in their fracture, reactive thrombogenesis, and a cardiovascular event such as myocardial infarction and stroke. Traditional bulk mass spectrometry (MS) analysis has yielded critical insights into the molecular mechanisms of plaque formation and disease progression, but it is unable to determine the spatial heterogeneity and microenvironmental complexity within the lesion. Recent advances in mass spectrometry imaging (MSI) based omics, including spatial lipidomics, proteomics, and metabolomics, have enabled unprecedented visualization of molecular distribution in atherosclerotic plaques at cellular resolution. These techniques promise to elucidate the distinct cellular crosstalk, lesion vulnerability, and sex-specific disease mechanisms that contribute to plaque development and rupture. This review examines the recent advances in MS-based spatial omics and their application to atherosclerotic plaques in both experimental models and human samples. We highlight recent findings, explore their implications for precision medicine and translational research, and discuss current challenges in sample preparation and data integration. Despite challenges, we suggest approaches for integration of MS-based spatial omics using artificial intelligence (AI) to enhance data integration, interpretation, and translational applications in atherosclerosis research. These advances promise to broaden our understanding of atherosclerosis and identify novel therapeutic targets to limit the burden of cardiovascular disease.

Indexed as

Mass SpectrometryMetabolomicsPlaque, AtheroscleroticAnimalsHumansLipidomicsProteomicsArtificial intelligenceAtherosclerosisLipidsMass spectrometry imaging (MSI)Proteinsspatial omics

Identifiers

PMID41167886
PMCPMC13093469

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.