Evidence map›Paper›PMID 41090155›Full record

ReviewMedComm2025

Gene and RNA Editing: Revolutionary Approaches to Treating Diseases.

Jia-Mei Li, Jie Huang, Yan Liao, Ting Hu, Chang-Li Wang, Wang-Zheqi Zhang, Chen-Wei Huang

Abstract readReview
In one paragraph

Review in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  6. Neurodegenerative Diseases in Children: A Comprehensive Review.International journal of molecular sciences · 2026
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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.

Jia-Mei LiDepartment of Neurology, Changhai Hospital Naval Medical University Shanghai China.
Jie HuangDepartment of Anesthesiology, Changhai Hospital Naval Medical University Shanghai China.
Yan LiaoNaval Medical University Shanghai China.
Ting HuNo. 940 Hospital of the Joint Logistics Support Force Lanzhou China.
Chang-Li WangDepartment of Anesthesiology, Changhai Hospital Naval Medical University Shanghai China.
Wang-Zheqi ZhangNaval Medical University Shanghai China.
Chen-Wei HuangFaculty of Psychology Naval Medical University Shanghai China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene editing and RNA editing technologies are advancing modern medicine by enabling precise manipulation of genetic information at the DNA and RNA levels, respectively. The third-generation gene editing tools, particularly Clustered regularly interspaced shortpalindromic repeats (CRISPR)/CRISPR-associated (Cas) system, have transformed genetic disease treatment with high efficiency, precision, and cost effectiveness, while RNA editing, via adenosine deaminase acting on RNA (ADAR) enzymes and CRISPR-Cas13, offers reversible regulation to avoid genomic integration risks. Despite advancements, challenges persist in delivery efficiency, tissue specificity, and long-term safety, limiting their clinical translation. This review systematically discusses the molecular mechanisms and technological evolution of these tools, focusing on their promising applications in treating nervous system disorders (e.g., Alzheimer's, Parkinson's), immune diseases (e.g., severe combined immunodeficiency, lupus), and cancers. It compares their technical attributes, analyzes ethical and regulatory issues, and highlights synergies between the two technologies. By bridging basic research and clinical translation, this review provides critical insights for advancing precision medicine, reshaping disease diagnosis, prevention, and treatment paradigms.

Indexed as

CRISPR–Casgene editingprecision medicineRNA editing

Identifiers

PMID41090155
PMCPMC12516091

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.