ReviewFASEB journal : official publication of the Federation of American Societies for Experimental Biology2025
Engineering Nanoparticles and Bioscaffolds for Targeted microRNA Delivery in Cardiovascular Regeneration-A Comprehensive Review.
Review in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Decellularized cardiac ECM: A tissue-specific bioactive platform for drug release and cell delivery.Journal of controlled release : official journal of the Controlled Release Society · 2026Review
- Cardioprotective Effects ofLife (Basel, Switzerland) · 2026Review
- Clinical translation and engineering challenges of soft robotic cardiac sleeves for heart failure.Nature communications · 2026Review
- Lessons of Macrophage-Associated Heart Regeneration in Fish, Amphibians, and Neonatal Mice, Applied to Adult Mice: A Perspective on α-Gal Nanoparticles.International journal of molecular sciences · 2026Review
- Engineering Nanoparticles and Bioscaffolds for Targeted microRNA Delivery in Cardiovascular Regeneration-A Comprehensive Review.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Review
- Non-coding RNAs in heart failure: epigenetic regulatory mechanisms and therapeutic potential.Frontiers in genetics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cardiovascular diseases, particularly myocardial infarction (MI), remain a leading cause of mortality worldwide, primarily due to the extensive loss of cardiomyocytes and the heart's limited regenerative capacity. MI, caused by obstructed blood flow, results in cardiac muscle damage, scar tissue formation, and ultimately, heart failure. While heart transplantation is the definitive treatment, its application is limited by donor shortages and the risk of immune rejection. This underscores the urgent need for regenerative strategies. MicroRNAs (miRNAs) play a crucial role in regulating myocardial healing post-ischemia, with specific miRNAs such as miR-92a, miR-126, and miR-145 shown to promote angiogenesis. However, the therapeutic application of miRNAs is hindered by delivery challenges at both extracellular and intracellular levels. This review explores the potential of nanoparticles (NPs) and engineered bioscaffolds to address these obstacles. We first examine the role of miRNAs in post-MI cardiovascular remodeling, followed by an overview of current challenges in miRNA-based therapy delivery. We then discuss the use of NPs and electrospun nanofibrous scaffolds in this context. Finally, we review existing cardiac bioscaffolds, their limitations, and future directions for developing optimized nanofibrous scaffolds for effective cardiac regeneration.
Indexed as
Identifiers
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.