ReviewNature reviews. Cardiology2025
Phenotyping atherosclerotic plaque and perivascular adipose tissue: signalling pathways and clinical biomarkers in atherosclerosis.
Review in Nature reviews. Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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.
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.
Who cites it
22 citing papers in PubMed.
- CL-316243 facilitates stable atherosclerotic plaque phenotypes in association with suppression of perivascular adipose tissue ferroptosis via upregulating C/EBPβ.Redox biology · 2026Article
- Targeting perivascular adipose tissue in vascular aging: innovative translational strategies for disease prevention and monitoring.Apoptosis : an international journal on programmed cell death · 2026Review
- Computed Tomography-Based Radiomics Provides New Insights Into Associations Between Pericoronary Fat Characteristics and Low-Density Lipoprotein Cholesterol.Reviews in cardiovascular medicine · 2026Article
- Pericoronary Radiomics Signature for Non-Culprit Lesion Progression and Revascularization Decision in NSTE-ACS.Diagnostics (Basel, Switzerland) · 2026Article
- LDL-C combined with Chinese visceral adiposity index as a risk stratification tool for cardiometabolic multimorbidity in middle-aged and older Chinese adults: a national prospective cohort study.Cardiovascular diabetology · 2026Article
- The PVAT-MAMs Axis in Atherosclerosis: A Hypothesis-Driven Cross-Scale Conceptual Framework.International journal of molecular sciences · 2026Review
- A hierarchical theranostic nanoagent for multimodal imaging and targeted foam cell intervention in atherosclerosis.Nature communications · 2026Article
- Programmable Pentamolecular Cross-Scale Imaging Reveals the Multiplicative Synergistic Effect of High-Fat / High-Salt Diet on Atherosclerosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Comment on "phenotype-specific associations of circulating adipokine levels with carotid atherosclerosis: a systematic review and meta-analysis".International journal of cardiology. Cardiovascular risk and prevention · 2026Article
- Coronary CT angiography evaluation with artificial intelligence for individualized medical treatment of atherosclerosis: a Consensus Statement from the QCI Study Group.Nature reviews. Cardiology · 2026Review
- Migration of co-cultured endothelial and smooth muscle cells on material surfaces.Regenerative biomaterials · 2026Article
- Spectral computed tomography characterization of coronary atherosclerotic plaque: principles, imaging biomarkers, and clinical significance.Frontiers in cardiovascular medicine · 2026Review
- "Pericoronary adipose tissue attenuation as a marker of global coronary inflammation rather than lesion-specific risk".Frontiers in cardiovascular medicine · 2026Article
- Cardiac CT for personalized phenotyping in stable coronary artery disease: toward precision medicine.BJR open · 2026Review
- Improving Risk Stratification for Transient Ischaemic Attacks and Ischaemic Stroke in Patients with Coronary Artery Disease: A Combined Radiomics Analysis of Multimodal Adipose Tissue.Diagnostics (Basel, Switzerland) · 2026Article
- Phenotype-specific associations of circulating adipokine levels with carotid atherosclerosis: a systematic review and meta-analysis.International journal of cardiology. Cardiovascular risk and prevention · 2025Review
- Obesity: An Underlying Risk for Acute Aortic Dissection.Journal of clinical medicine · 2025Review
- APOE4 promotes nigral tau hyperphosphorylation through cholesterol in atherosclerosis.Cell death discovery · 2025Article
- The Dual Role of Perivascular Adipose Tissue in Vascular Homeostasis and Atherogenesis: From Physiology to Pathological Implications.International journal of molecular sciences · 2025Review
- Sex-Specific Characteristics of Perivascular Fat in Aortic Aneurysms.Journal of clinical medicine · 2025Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Computed tomography coronary angiography provides a non-invasive evaluation of coronary artery disease that includes phenotyping of atherosclerotic plaques and the surrounding perivascular adipose tissue (PVAT). Image analysis techniques have been developed to quantify atherosclerotic plaque burden and morphology as well as the associated PVAT attenuation, and emerging radiomic approaches can add further contextual information. PVAT attenuation might provide a novel measure of vascular health that could be indicative of the pathogenetic processes implicated in atherosclerosis such as inflammation, fibrosis or increased vascularity. Bidirectional signalling between the coronary artery and adjacent PVAT has been hypothesized to contribute to coronary artery disease progression and provide a potential novel measure of the risk of future cardiovascular events. However, despite the development of more advanced radiomic and artificial intelligence-based algorithms, studies involving large datasets suggest that the measurement of PVAT attenuation contributes only modest additional predictive discrimination to standard cardiovascular risk scores. In this Review, we explore the pathobiology of coronary atherosclerotic plaques and PVAT, describe their phenotyping with computed tomography coronary angiography, and discuss potential future applications in clinical risk prediction and patient management.
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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 Socratic graph.