ReviewPharmaceutics2021
Thinking Quantitatively of RNA-Based Information Transfer via Extracellular Vesicles: Lessons to Learn for the Design of RNA-Loaded EVs.
Review in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 21 citations in OpenAlex.
- Engineering challenges and translational opportunities in emerging gene delivery platforms.Nature biomedical engineering · 2026Review
- Connecting the Dots: Milestones in the History of Extracellular Vesicle Research.International journal of molecular sciences · 2026Review
- Cross-kingdom RNA interference in the dysbiosis-mediated network of vocal fold fibrosis: a pathogenic hypothesis and molecular intervention targets.Frontiers in immunology · 2026Review
- Stoichiometric constraints for detection of EV-borne biomarkers in blood.Journal of extracellular vesicles · 2025Review
- Simultaneous Protein and RNA Analysis in Single Extracellular Vesicles, Including Viruses.ACS nano · 2024Article
- Promise of mesenchymal stem cell-derived extracellular vesicles for alleviating subarachnoid hemorrhage-induced brain dysfunction by neuroprotective and antiinflammatory effects.Brain, behavior, & immunity - health · 2024Review
- Tumor Cell Communications as Promising Supramolecular Targets for Cancer Chemotherapy: A Possible Strategy.International journal of molecular sciences · 2024Review
- Harnessing Bacterial Extracellular Vesicle Immune Effects for Cancer Therapy.Pathogens & immunity · 2024Review
- Comprehensive characterization of pathogenic synovial fluid extracellular vesicles from knee osteoarthritis.Clinical immunology (Orlando, Fla.) · 2023Article
- Selective cargo sorting in stem cell-derived small extracellular vesicles: impact on therapeutic efficacy for intervertebral disc degeneration.Clinical and translational medicine · 2023Article
- Article
- Therapeutic Potential of EVs: Targeting Cardiovascular Diseases.Biomedicines · 2023Review
- Extracellular Vesicles for Therapeutic Nucleic Acid Delivery: Loading Strategies and Challenges.International journal of molecular sciences · 2023Review
- Extracellular Vesicles as Carriers of Adipokines and Their Role in Obesity.Biomedicines · 2023Review
- Combinatorial microRNA Loading into Extracellular Vesicles for Increased Anti-Inflammatory Efficacy.Non-coding RNA · 2022Article
- Role of Extracellular Vesicles in Thyroid Physiology and Diseases: Implications for Diagnosis and Treatment.Biomedicines · 2022Review
- The roles and mechanisms of miR-26 derived from exosomes of adipose-derived stem cells in the formation of carotid atherosclerotic plaque.Annals of translational medicine · 2022Article
- An estimate of extracellular vesicle secretion rates of human blood cells.Journal of extracellular biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracellular vesicles (EVs) are 50-1000 nm vesicles secreted by virtually any cell type in the body. They are expected to transfer information from one cell or tissue to another in a short- or long-distance way. RNA-based transfer of information via EVs at long distances is an interesting well-worn hypothesis which is ~15 years old. We review from a quantitative point of view the different facets of this hypothesis, ranging from natural RNA loading in EVs, EV pharmacokinetic modeling, EV targeting, endosomal escape and RNA delivery efficiency. Despite the unique intracellular delivery properties endowed by EVs, we show that the transfer of RNA naturally present in EVs might be limited in a physiological context and discuss the lessons we can learn from this example to design efficient RNA-loaded engineered EVs for biotherapies. We also discuss other potential EV mediated information transfer mechanisms, among which are ligand-receptor mechanisms.
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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.