ReviewACS omega2022
Integrated Strategies for a Holistic View of Extracellular Vesicles.
Review in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Engineered extracellular vesicles for combinatorial cancer therapy and imaging.Acta pharmaceutica Sinica. B · 2026Review
- Recent advances in machine learning-enhanced extracellular vesicle omics for oncology.Journal of nanobiotechnology · 2026Review
- Exosomes in ovarian cancer: Impact on drug resistance and advances in SERS detection techniques.Journal of pharmaceutical analysis · 2025Review
- Multiplex Detection of Biomarkers Empowered by Nanomaterials.Precision chemistry · 2025Review
- Exosome isolation and characterization for advanced diagnostic and therapeutic applications.Materials today. Bio · 2025Article
- Improvement of small extracellular vesicle isolation from mouse model blood.Extracellular vesicles and circulating nucleic acids · 2025Article
- Protein Analysis by FT-IR/ATR Spectroscopy.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Bibliometric Analysis of Exosome Research in Spinal Cord Injury (2000-May 2024). Trends, Collaborations, and Emerging Insights.Drug design, development and therapy · 2025Article
- Unlocking Exosome-Based Theragnostic Signatures: Deciphering Secrets of Ovarian Cancer Metastasis.ACS omega · 2023Review
- Extracellular vesicles and their cells of origin: Open issues in autoimmune diseases.Frontiers in immunology · 2023Review
- Complete and Prolonged Inhibition of Herpes Simplex Virus Type 1 Infection In Vitro by CRISPR/Cas9 and CRISPR/CasX Systems.International journal of molecular sciences · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracellular vesicles (EVs) are receiving increasing attention for their role in spreading both beneficial and harmful information during cell-cell communication. The complexity and heterogeneity of the origin of EVs make integrated molecular, structural, and functional studies extremely challenging but necessary at the same time. In fact, a comprehensive interdisciplinary approach is needed to correlate the features of EVs, target cells/organs, and the pathophysiological outcomes exerted by the EVs' actions. Based on these premises, after introducing a brief state-of-the-art outline on the current analytical approaches exploited to characterize EVs, this review aims to highlight the effectiveness of those studies where authors put in correlation the diverse EV data collected from different points of view. Although these examples are still just a few, they still represent an excellent starting point to be taken as a reference in the perspective for improving the correlation among EV-related clinical aspects. Of course, to fully reach this goal, several points need to be further improved and developed. Undoubtedly, new avenues in diagnostic, prognostic, and therapeutic applications by EVs will be initiated by integrative strategies, combining biophysical approaches, high-throughput omics technologies, and computational models.
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.