Evidence map›Paper›PMID 41872727›Full record

ReviewAnimal models and experimental medicine2026

Zebrafish and CRISPR-A synergistic approach to decipher and cure human diseases.

Manikandan Sivaprakasam, Aashika Raagavi Jeanpierre, Salma Mohammed, Rajesh Srinivasan, Aman Kumar Mohanty

Abstract readReview
In one paragraph

Review in Animal models and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Manikandan SivaprakasamMahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, India.ORCID https://orcid.org/0009-0004-8050-8265
Aashika Raagavi JeanpierreMahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, India.
Salma MohammedMahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, India.
Rajesh SrinivasanMahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, India.
Aman Kumar MohantyMahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapidly emerging infectious and genetic diseases demand robust vertebrate models to investigate pathogenesis and accelerate therapeutic discovery. Zebrafish (Danio rerio) offer substantial translational value owing to their conserved physiology, optical transparency, rapid reproduction, and the presence of orthologs for approximately 70% of human genes and approximately 82% of disease-associated genes. The integration of CRISPR/Cas9 technology has transformed zebrafish research, enabling efficient generation of targeted knockouts, knockins, and high-throughput mutagenesis screens. This synergy supports mechanistic dissection and modeling of cardiovascular, oncologic, viral, and other genetic disorders. Despite these advantages, rigorous allele validation, consideration of paralog redundancy, maternal contribution, and off-target analysis remain essential to ensure translational accuracy. This review summarizes current applications, methodological advances, limitations, and best-practice recommendations for combining zebrafish models with genome editing to improve understanding and treatment of human diseases.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDisease Models, AnimalGene EditingZebrafishAnimalsGenetic Diseases, InbornHumansanimal modelCas9CRISPRDanio reriogenome editingzebrafish

Identifiers

PMID41872727
PMCPMC13383917

What Socratic 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 Socratic graph.