Evidence map›Paper›PMID 41992329›Full record

ReviewJournal of biological engineering2026

Application of extracellular vesicles in the CRISPR-based diagnosis and treatment: possibilities and challenges.

Eunhye Cho, Jehyung Lee, Jiyu Kim, Jaewon Choi, Mikyung Kang, Jayeon Song

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Eunhye Cho *Department of Forensic Sciences, Sungkyunkwan University, Suwon, Republic of Korea.
Jehyung Lee *School of Health and Environmental Science & Department of Health and Safety Convergence Science, Korea University, Seoul, Republic of Korea.
Jiyu KimDepartment of Forensic Sciences, Sungkyunkwan University, Suwon, Republic of Korea.
Jaewon ChoiDivision of Life Science, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Mikyung Kang *School of Health and Environmental Science & Department of Health and Safety Convergence Science, Korea University, Seoul, Republic of Korea. ieebun@korea.ac.kr.
Jayeon SongDepartment of Forensic Sciences, Sungkyunkwan University, Suwon, Republic of Korea. sjy2star@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

AI-driven CRISPR-EV platformsCRISPR technologyDiagnosticsExtracellular vesiclesGenome editingIntegrated platform of EV with CRISPR technologyTreatment

Identifiers

PMID41992329
PMCPMC13202827

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.