Evidence map›Paper›PMID 40425969›Full record

ReviewFunctional & integrative genomics2025

Zebrafish metabolomics: a comprehensive approach to understanding health and disease.

A Vivekaa, Jayshree Nellore, Swetha Sunkar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

A VivekaaDepartment of Bioinformatics, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
Jayshree NelloreDepartment of Biotechnology, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
Swetha SunkarDepartment of Bioinformatics, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. swetha.biotech@sathyabama.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zebrafish (Danio rerio) have become a valuable model in biomedical research due to their genetic similarity to humans, rapid development, and suitability for high-throughput studies. Metabolomic analyses in zebrafish provide critical insights into the biochemical pathways underlying health and disease. This review explores the applications of metabolomics in zebrafish research, highlighting its contributions to understanding embryonic development, tuberculosis, neurodegenerative disorders such as Alzheimer's disease, obesity-related metabolic dysfunction, and drug-induced toxicity through a thorough literature review. Zebrafish metabolomics reveals dynamic metabolite shifts during vertebrate development. In tuberculosis research, zebrafish models have helped identify metabolic biomarkers with potential translational relevance. Studies on Alzheimer's disease suggest that metabolomics can elucidate neuroprotective mechanisms, while investigations into obesity have provided insights into metabolic imbalances associated with kidney dysfunction. Furthermore, toxicometabolomic studies have demonstrated the utility of zebrafish in assessing drug-induced renal injury. Despite their advantages, zebrafish metabolomics faces challenges, including differences in metabolic rates compared to mammals, the need for standardized protocols, and limitations in metabolite database annotations. Nonetheless, integrating metabolomics with other omics approaches holds great promise for advancing disease research and paving the way for personalized medicine.

Indexed as

MetabolomeMetabolomicsZebrafishAlzheimer DiseaseAnimalsDisease Models, AnimalHumansNeurodegenerative DiseasesTuberculosisBiomarkersComprehensive metabolomicsMetabolic pathwaysPersonalized medicineZebrafish

Identifiers

What Socratic holds

Textmetadata
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.