Evidence mapPaperPMID 42092003Full record

ReviewNature biomedical engineering2026

Engineering challenges and translational opportunities in emerging gene delivery platforms.

Yifan Ma, Shiyan Dong, Annette Wu, Seong Dong Jeong, Andrew S Lee, Wen Jiang, Betty Y S Kim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Systemic AAV-hInternational journal of molecular sciences · 2026
    Article
  8. Review
  9. Review
  10. 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

7 authors.

Yifan MaDepartment of Central Nervous System Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-9371-4365
Shiyan DongDepartment of Central Nervous System Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0003-2912-8895
Annette WuDepartment of Central Nervous System Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0009-0005-8343-4748
Seong Dong JeongDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0009-0003-5163-3924
Andrew S LeeSchool of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China. Alee@pku.edu.cn.
Wen JiangDepartment of Central Nervous System Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA. WJiang4@mdanderson.org.ORCID http://orcid.org/0000-0001-9154-633X
Betty Y S KimDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, TX, USA. BYKim@mdanderson.org.ORCID http://orcid.org/0000-0001-6890-8355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical success of gene therapy depends critically on the development of delivery platforms capable of achieving precise, efficient and tissue-specific delivery of genetic payloads in vivo. A diverse array of carriers, including viral, non-viral, synthetic and natural vectors, have been explored to address this challenge. Among them, adeno-associated viruses, lipid nanoparticles and extracellular vesicles have emerged as leading candidates, each offering distinct advantages and translational hurdles. Here we provide a comparative analysis of these delivery modalities, highlighting their respective design principles, targeting capabilities, immunogenicity profiles and clinical progress. We survey preclinical and clinically adopted delivery strategies and explore how the three delivery platforms can be tailored for gene therapeutics in different diseases. Finally, we discuss emerging strategies to overcome current limitations and outline future directions for the rational design of next-generation gene delivery platforms that combine safety, scalability and functional precision.

Indexed as

Genetic TherapyGene Transfer TechniquesAnimalsDependovirusExtracellular VesiclesGenetic VectorsHumansLipidsNanoparticlesTranslational Research, BiomedicalLipids

Identifiers

What Socratic holds

Textmetadata
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.