ReviewFrontiers in physiology2020
Extracellular Vesicle miRNAs in the Promotion of Cardiac Neovascularisation.
Review in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 40 citations in OpenAlex.
- Are RNA Therapies a Solid Foundation or a Frontier Yet to Be Conquered?International journal of molecular sciences · 2026Review
- Engineering extracellular vesicles for targeted therapeutic delivery in the heart.Bioscience reports · 2026Review
- The Promise of Exosomes in Cardiac Repair: When 'Best Things Come in Small Packages'.Journal of cellular and molecular medicine · 2025Review
- Exosomes as Therapeutic and Diagnostic Tools: Advances, Challenges, and Future Directions.Cell biochemistry and biophysics · 2025Review
- MicroRNA Profiling in Chronic Limb-Threatening Ischemia Their Role in Arteriogenesis.The International journal of angiology : official publication of the International College of Angiology, Inc · 2025Article
- Extracellular Vesicle-Derived miRNAs in Ischemic Stroke: Roles in Neuroprotection, Tissue Regeneration, and Biomarker Potential.Cellular and molecular neurobiology · 2025Review
- Extracellular Vesicles as Mediators of Endothelial Dysfunction in Cardiovascular Diseases.International journal of molecular sciences · 2025Review
- Emerging Strategies for Revascularization: Use of Cell-Derived Extracellular Vesicles and Artificial Nanovesicles in Critical Limb Ischemia.Bioengineering (Basel, Switzerland) · 2025Review
- Opportunities and challenges of bacterial extracellular vesicles in regenerative medicine.Journal of nanobiotechnology · 2025Review
- Non-Coding RNA-Targeted Therapy: A State-of-the-Art Review.International journal of molecular sciences · 2024Review
- The dual effects of miR-222 in cardiac hypertrophy: bridging pathological and physiological paradigms.Cardiovascular research · 2024Article
- Extracellular vesicles from differentiated stem cells contain novel proangiogenic miRNAs and induce angiogenic responses at low doses.Molecular therapy : the journal of the American Society of Gene Therapy · 2024Article
- Research progress on the mechanism of exosome-mediated virus infection.Frontiers in cellular and infection microbiology · 2024Review
- The Roles of microRNAs in the Cardiovascular System.International journal of molecular sciences · 2023Review
- New Insights into the Reparative Angiogenesis after Myocardial Infarction.International journal of molecular sciences · 2023Review
- The Role of Angiogenesis and Arteriogenesis in Myocardial Infarction and Coronary Revascularization.Journal of cardiovascular translational research · 2022Review
- Non-canonical features of microRNAs: paradigms emerging from cardiovascular disease.Nature reviews. Cardiology · 2022Review
- Importance of Extracellular Vesicle Derived RNAs as Critical Colorectal Cancer Biomarkers.ACS bio & med chem Au · 2022Review
- Ultrasound-targeted cationic microbubbles combined with the NFκB binding motif increase SDF-1α gene transfection: A protective role in hearts after myocardial infarction.The Kaohsiung journal of medical sciences · 2022Article
- MicroRNAs as therapeutic targets in cardiovascular disease.The Journal of clinical investigation · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality worldwide claiming almost 17. 9 million deaths annually. A primary cause is atherosclerosis within the coronary arteries, which restricts blood flow to the heart muscle resulting in myocardial infarction (MI) and cardiac cell death. Despite substantial progress in the management of coronary heart disease (CHD), there is still a significant number of patients developing chronic heart failure post-MI. Recent research has been focused on promoting neovascularisation post-MI with the ultimate goal being to reduce the extent of injury and improve function in the failing myocardium. Cardiac cell transplantation studies in pre-clinical models have shown improvement in cardiac function; nonetheless, poor retention of the cells has indicated a paracrine mechanism for the observed improvement. Cell communication in a paracrine manner is controlled by various mechanisms, including extracellular vesicles (EVs). EVs have emerged as novel regulators of intercellular communication, by transferring molecules able to influence molecular pathways in the recipient cell. Several studies have demonstrated the ability of EVs to stimulate angiogenesis by transferring microRNA (miRNA, miR) molecules to endothelial cells (ECs). In this review, we describe the process of neovascularisation and current developments in modulating neovascularisation in the heart using miRNAs and EV-bound miRNAs. Furthermore, we critically evaluate methods used in cell culture, EV isolation and administration.
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What OpenQuestion 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 OpenQuestion graph.