ArticleJournal of nanobiotechnology2024
Engineered nanoparticles promote cardiac tropism of AAV vectors.
Article in Journal of nanobiotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Nanoparticle-Based Targeted Drug-Delivery Systems for Cardiomyopathy: Mechanisms and Therapeutic Advances.Molecules (Basel, Switzerland) · 2026Review
- Therapeutic strategies for ischemic heart disease with natural product-based nanomedicines.Journal of nanobiotechnology · 2026Review
- Advancing the Landscape of RNAi Nanotherapeutics for Ischemic Heart Disease.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Non-Coding RNAs as key regulators of interferon signaling in cancer immunotherapy: mechanistic insights and clinical prospects.Clinical and experimental medicine · 2026Review
- Controlled Delivery of Gasotransmitters for Cardiovascular Therapy: Molecular Mechanisms, Engineered Platforms, and Translational Perspectives.International journal of nanomedicine · 2026Review
- Engineering Targeted Gene Delivery Systems for Primary Hereditary Skeletal Myopathies: Current Strategies and Future Perspectives.Biomedicines · 2025Review
- Galectin-1 in Cardiovascular Pathogenesis: Unraveling Dual Roles and Mechanistic Insights in Emerging Research.Medicina (Kaunas, Lithuania) · 2025Review
- Advanced delivery systems for gene editing: A comprehensive review from the GenE-HumDi COST Action Working Group.Molecular therapy. Nucleic acids · 2025Review
- State of the art and perspectives of gene therapy in heart failure. A scientific statement of the Heart Failure Association of the ESC, the ESC Council on Cardiovascular Genomics and the ESC Working Group on Myocardial & Pericardial Diseases.European journal of heart failure · 2025Review
- How Traditional Chinese Medicine Can Play a Role In Nanomedicine? A Comprehensive Review of the Literature.International journal of nanomedicine · 2025Review
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Authors and funding
8 authors.
Funding
Abstract
Cardiac muscle targeting is a notoriously difficult task. Although various nanoparticle (NP) and adeno-associated viral (AAV) strategies with heart tissue tropism have been developed, their performance remains suboptimal. Significant off-target accumulation of i.v.-delivered pharmacotherapies has thwarted development of disease-modifying cardiac treatments, such as gene transfer and gene editing, that may address both rare and highly prevalent cardiomyopathies and their complications. Here, we present an intriguing discovery: cargo-less, safe poly (lactic-co-glycolic acid) particles that drastically improve heart delivery of AAVs and NPs. Our lead formulation is referred to as ePL (enhancer polymer). We show that ePL increases selectivity of AAVs and virus-like NPs (VLNPs) to the heart and de-targets them from the liver. Serotypes known to have high (AAVrh.74) and low (AAV1) heart tissue tropisms were tested with and without ePL. We demonstrate up to an order of magnitude increase in heart-to-liver accumulation ratios in ePL-injected mice. We also show that ePL exhibits AAV/NP-independent mechanisms of action, increasing glucose uptake in the heart, increasing cardiac protein glycosylation, reducing AAV neutralizing antibodies, and delaying blood clearance of AAV/NPs. Current approaches utilizing AAVs or NPs are fraught with challenges related to the low transduction of cardiomyocytes and life-threatening immune responses; our study introduces an exciting possibility to direct these modalities to the heart at reduced i.v. doses and, thus, has an unprecedented impact on drug delivery and gene therapy. Based on our current data, the ePL system is potentially compatible with any therapeutic modality, opening a possibility of cardiac targeting with numerous pharmacological approaches.
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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.