Evidence map›Paper›PMID 40203649›Full record

ReviewBiomaterials2025

Engineering adeno-associated viral vectors for CRISPR/Cas based in vivo therapeutic genome editing.

Buhle Moyo, Lucas B C Brown, Ishika I Khondaker, Gang Bao

Abstract readReview
In one paragraph

Review in Biomaterials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
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

4 authors.

Buhle MoyoDepartment of Bioengineering, Rice University, Houston, TX, 77030, USA.
Lucas B C BrownDepartment of Bioengineering, Rice University, Houston, TX, 77030, USA; Graduate Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, TX, 77030, USA.
Ishika I KhondakerDepartment of Bioengineering, Rice University, Houston, TX, 77030, USA; Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, 77030, USA.
Gang BaoDepartment of Bioengineering, Rice University, Houston, TX, 77030, USA. Electronic address: gang.bao@rice.edu.

Funding

Deciphering unintended large gene modifications in gene editing for sickle cell diseaseR01HL169761 · NHLBI · RICE UNIVERSITY · PI Gang Bao · 2023 to 2026
$2.7M
NHLBI NIH HHS R01 HL169761
6 · The paper itself

Abstract

The recent approval of the first gene editing therapy for sickle cell disease and transfusion-dependent beta-thalassemia by the U.S. Food and Drug Administration (FDA) demonstrates the immense potential of CRISPR (clustered regularly interspaced short palindromic repeats) technologies to treat patients with genetic disorders that were previously considered incurable. While significant advancements have been made with ex vivo gene editing approaches, the development of in vivo CRISPR/Cas gene editing therapies has not progressed as rapidly due to significant challenges in achieving highly efficient and specific in vivo delivery. Adeno-associated viral (AAV) vectors have shown great promise in clinical trials as vehicles for delivering therapeutic transgenes and other cargos but currently face multiple limitations for effective delivery of gene editing machineries. This review elucidates these challenges and highlights the latest engineering strategies aimed at improving the efficiency, specificity, and safety profiles of AAV-packaged CRISPR/Cas systems (AAV-CRISPR) to enhance their clinical utility.

Indexed as

CRISPR-Cas SystemsDependovirusGene EditingGenetic TherapyGenetic VectorsAnemia, Sickle CellAnimalsHumansAdeno-associated virusCRISPR/CasGene editingIn vivo delivery

Identifiers

PMID40203649
PMCPMC12153363

What Socratic holds

Textmetadata
LicenceTDM
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.