ReviewJournal of biological engineering2026
Application of extracellular vesicles in the CRISPR-based diagnosis and treatment: possibilities and challenges.
Review in Journal of biological engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Plasmonic Nanoarray Biosensors for Non-Invasive Cancer Diagnostics.Biosensors · 2026Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The CRISPR–Cas system has revolutionized molecular diagnostics and gene editing, yet its clinical translation is hindered by delivery barriers, off-target activity, immunogenicity, and manufacturing challenges. Compared with viral vectors and synthetic non-viral carriers such as lipid nanoparticles, extracellular vesicles (EVs) offer a biologically derived delivery platform with superior biocompatibility, reduced immunogenicity, intrinsic cargo protection, and natural barrier-crossing capability. Engineered EVs can further achieve cell- or tissue-specific targeting. In diagnostics, endogenous EV proteins and nucleic acids provide disease-informative signatures that can interface with CRISPR nuclease readouts for highly sensitive detection. This review summarizes the therapeutic and diagnostic potential of EV-CRISPR platforms, covering strategies for loading CRISPR cargos (producer-cell engineering, post-isolation methods), cargo formats, and surface targeting approaches. We evaluate preclinical performance with attention to biodistribution, safety, innate and adaptive immune responses, and genomic integrity, as well as analytical assays and scalable manufacturing considerations essential for clinical translation. Finally, we discuss emerging opportunities, including AI-guided optimization of EV-CRISPR design and integrated EV platforms that combine disease detection with therapeutic intervention, highlighting their promise for advancing precision medicine.
Indexed as
Identifiers
What Socratic 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 Socratic graph.