ArticleClinical and translational medicine2021
Integrative multiomics analysis of human atherosclerosis reveals a serum response factor-driven network associated with intraplaque hemorrhage.
Article in Clinical and translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 95 citations in OpenAlex.
- Unraveling Atherosclerosis through Multi-omics: Systematic Insights into the Unique Applications and Clinical Perspectives.Current atherosclerosis reports · 2026Review
- Multi-omics data mining combined with experimental validation reveals ferroptosis- and autophagy-associated hub genes as diagnostic candidates and immune modulators in atherosclerosis.Animal models and experimental medicine · 2026Article
- Intracellular Osteopontin of Macrophages Promotes Carotid Plaques Formation by Inducing Foam Cells and Releasing Proinflammatory Cytokines.Journal of the American Heart Association · 2026Article
- IRF7 orchestrates maladaptive smooth muscle cell phenotype switching in atherosclerosis.Precision clinical medicine · 2026Article
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- Integrative multi-omics and network-based machine learning for early diagnosis of Parkinson's disease.PloS one · 2026Article
- Identification of a PRDM1-regulated T cell network to regulate atherosclerotic plaque inflammation.Genome medicine · 2025Article
- Proteomic profiling reveals a higher presence of glycolytic enzymes in human atherosclerotic lesions with unfavourable histological characteristics.Cardiovascular research · 2025Article
- Single-cell RNA-seq analysis of mouse carotid artery under disturbed flow and human carotid plaques identifies key cell populations in atherosclerosis development.Scientific reports · 2025Article
- Bioinformatics Approach to Investigating the Immuno-Inflammatory Mechanisms of Periodontitis in the Progression of Atherosclerosis.Current issues in molecular biology · 2025Article
- Integrated multi-omic high-throughput strategies across-species identified potential key diagnostic, prognostic, and therapeutic targets for atherosclerosis under high glucose conditions.Molecular and cellular biochemistry · 2025Article
- Exploring the role of oxidative stress in carotid atherosclerosis: insights from transcriptomic data and single-cell sequencing combined with machine learning.Biology direct · 2025Article
- Atherosclerotic plaque instability in symptomatic non-significant carotid stenoses.JVS-vascular science · 2025Article
- Protein carbamylation in atherosclerotic plaques correlates with uremia and disease progression, localizing predominantly to foam cells.Frontiers in immunology · 2025Article
- Role of lactylation and immune infiltration in atherosclerosis: novel insights from bioinformatics analyses.Frontiers in genetics · 2025Article
- Identification of Protein Networks and Biological Pathways Driving the Progression of Atherosclerosis in Human Carotid Arteries Through Mass Spectrometry-Based Proteomics.International journal of molecular sciences · 2024Article
- scPAS: single-cell phenotype-associated subpopulation identifier.Briefings in bioinformatics · 2024Article
- Genome-scale metabolic network of human carotid plaque reveals the pivotal role of glutamine/glutamate metabolism in macrophage modulating plaque inflammation and vulnerability.Cardiovascular diabetology · 2024Article
- Integrating Computational and Biological Hemodynamic Approaches to Improve Modeling of Atherosclerotic Arteries.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
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Authors and funding
20 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile single-omics analyses on human atherosclerotic plaque have been very useful to map stage- or disease-related differences in expression, they only partly capture the array of changes in this tissue and suffer from scale-intrinsic limitations. In order to better identify processes associated with intraplaque hemorrhage and plaque instability, we therefore combined multiple omics into an integrated model.
methodsIn this study, we compared protein and gene makeup of low- versus high-risk atherosclerotic lesion segments from carotid endarterectomy patients, as judged from the absence or presence of intraplaque hemorrhage, respectively. Transcriptomic, proteomic, and peptidomic data of this plaque cohort were aggregated and analyzed by DIABLO, an integrative multivariate classification and feature selection method.
resultsWe identified a protein-gene associated multiomics model able to segregate stable, nonhemorrhaged from vulnerable, hemorrhaged lesions at high predictive performance (AUC >0.95). The dominant component of this model correlated with αSMA
conclusionsIn conclusion, our integrative omics study has identified an intraplaque hemorrhage-associated cardiovascular signature that provides excellent stratification of low- from high-risk carotid artery plaques in several independent cohorts. Further study revealed suppression of an SRF-regulated disease network, controlling lesion stability, in vulnerable plaque, which can serve as a scaffold for the design of targeted intervention in plaque destabilization.
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