Evidence map›Paper›PMID 41098472›Full record

ReviewJournal of diabetes and metabolic disorders2025

Zebrafish as an effective model for accelerating diabetes research from discovery to therapy.

Hedieh Sadat Shamsnia, Mohammad Ali Faramarzi, Amir Hossein Abdolghaffari, Somayeh Mojtabavi

Abstract readReview
In one paragraph

Review in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Hedieh Sadat ShamsniaDepartment of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, P.O. Box 14155-6451, Tehran, 1417614411 Iran.
Mohammad Ali FaramarziDepartment of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, P.O. Box 14155-6451, Tehran, 1417614411 Iran.
Amir Hossein AbdolghaffariDepartment of Toxicology & Pharmacology, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Somayeh MojtabaviDepartment of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tehran University of Medical Sciences, P.O. Box 14155-6451, Tehran, 1417614411 Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes is a global health crisis affecting over 422 million people, necessitating innovative research models. Zebrafish ( Methods: A comprehensive literature search was conducted across PubMed, Scopus, and Web of Science, focusing on studies involving zebrafish models of Type 1 and Type 2 diabetes. Included publications were evaluated based on their methodology (e.g., surgical, chemical, genetic, or dietary induction of diabetes), reproducibility, and relevance to diabetic pathophysiology and complications. Results: Zebrafish models effectively replicate core diabetic features, including hyperglycemia, insulin resistance, and β-cell dysfunction. Their transparent embryos and larvae facilitate real-time visualization of metabolic and vascular changes. Furthermore, zebrafish support the study of diabetes-related complications-such as retinopathy, nephropathy, neuropathy, and cardiomyopathy-through genetic modifications and pharmacological interventions. Studies have demonstrated the efficacy of antidiabetic drugs, including metformin and glimepiride, using these models. Conclusion: Despite challenges (e.g., physiological differences from mammals), zebrafish bridge mechanistic discovery and translational applications, accelerating diabetes research. Their cost-effectiveness, rapid development, and screening potential underscore their critical role in understanding diabetes and developing targeted therapies to address this global health burden.

Indexed as

Animal modelDanio rerioDiabetes modelsDiabetic complicationsZebrafish

Identifiers

PMID41098472
PMCPMC12518730

What OpenQuestion holds

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Registered trials

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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.