ArticleCardiology research and practice2024
Identification of Plasma Exosomes hsa_circ_0001360 and hsa_circ_0000038 as Key Biomarkers of Coronary Heart Disease.
Article in Cardiology research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
8 citing papers in PubMed.
- Extracellular Vesicles as Mediators of Pathophysiology and Disease Progression in Cardiovascular Diseases.International journal of molecular sciences · 2026Review
- Comprehensive landscape and future perspectives of exosomal circular RNAs in cardiovascular disease.Frontiers in pharmacology · 2026Review
- Knowledge Mapping of CircRNAs in AS Research from 2010 to 2025: Spotlight on Lipid Metabolism, Pyroptosis and Exosomes.Journal of inflammation research · 2026Article
- Bio fluid exosomes: promises, challenges, and future directions in translational medicine.Journal of translational medicine · 2025Review
- Circular RNAs in coronary heart disease: From molecular mechanism to promising clinical application (Review).International journal of molecular medicine · 2025Review
- Constructing a Predictive Model to Evaluate the Risk of CHD Based on New Metabolic Indicators.Vascular health and risk management · 2025Article
- CircRNA Networks in CAD: Multi-Cellular Mechanisms and Clinical Potential.International journal of general medicine · 2025Review
- Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Coronary heart disease (CHD) is the leading cause of death and disability worldwide. Accumulating evidence reveals that atherosclerosis (AS), characterized by systemic, chronic, and multifocal disease, and is the primary pathological basis of cardiovascular diseases, including CHD. However, the molecular underpinnings of CHD are still far from well understood. Our study attempted to identify aberrant plasma exosome-derived circRNAs and key exosomal circRNA biomarkers for CHD. Methods: The expression profiles of mRNAs, circRNAs, and lncRNAs in the blood exosomes of CHD patients and healthy controls were obtained from the exoRBase database. The corresponding miRNAs of the differentially expressed mRNAs, circRNAs, and lncRNAs were predicted via ENCORI and the miRcode database. LncRNAs/circRNAs and mRNAs with the cotargeted miRNAs were selected to construct an interaction network. Multiple machine learning algorithms have been used to explore potential biomarkers, followed by verification in patients with CHD using real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR). Results: Based on the cutoff criterion of Conclusion: The circRNA/lncRNA-miRNA-mRNA interaction network might help to elucidate the pathogenesis of CHD. Hsa_circ_0001360 combined with hsa_circ_0000038 might be an important diagnostic biomarker.
Identifiers
What Socratic holds
Registered trials
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.