ReviewIndian journal of pharmacology
Zebrafish: An emerging whole-organism screening tool in safety pharmacology.
Review in Indian journal of pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Article
- Melanophore physiology and adrenergic receptor signaling in zebrafish (Danio rerio).Fish physiology and biochemistry · 2026Review
- Organoid-based systems for biomedical innovation: advances in disease modeling, drug screening, and precision medicine.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Zebrafish as a Model Organism to Study Neurotoxicity: A Potential Tool for Neuroprotective Drug Discovery.Current drug metabolism · 2026Review
- Experimental modeling of Alzheimer's disease: Translational lessons from cross-taxon analyses.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Zebrafish as a Model System for Brugada Syndrome.Reviews in cardiovascular medicine · 2024Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the last two decades, the development in drug discovery is slackening due to drug withdrawal from the market or reported to have postmarket safety events. The vital organ toxicities, especially cardiotoxicity, hepatotoxicity, pulmonary toxicity, and neurotoxicity are the major concerns for high drug attrition rates. The pharmaceutical industry is looking for high throughput, high content analysis based novel assays that would be fast, efficient, reproducible, and cost-effective; would address toxicity, the safety of lead molecules, and complement currently used cell-based assays in preclinical testing. The use of zebrafish, a vertebrate screening model, for preclinical testing is increasing owing to the number of advantages and striking similarities with the mammal. The zebrafish embryo development is fast and all vital organs such as the heart, liver, brain, pancreas, and kidneys in zebrafish are functional within 96-120hpf. The maintenance cost of zebrafish is reasonably low as compared to mammalian systems. Due to these features, zebrafish has arisen as a potential experimental screening model in lead identification and validation in the drug efficacy, toxicity, and safety evaluation. Numbers of drugs and chemicals are screened using zebrafish embryos, and results were found to show 100% concordance with mammalian screening data. The application of zebrafish, being a whole-organism screening model, would show a significant reduction in the cost and time required in the drug development process. The present challenge includes complete automation of the zebrafish screening model, i.e., from sorting, imaging of embryos to data analysis to accelerate the therapeutic target identification, and validation process.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.