Evidence map›Paper›PMID 40036256›Full record

ArticlePloS one2025

Evaluation of caffeine modulation of topiramate effect on locomotor activity of zebrafish larvae in pentylenetetrazol-induced seizure model.

Adrian Bartoszek, Emilia Fornal

Abstract read
In one paragraph

Article in PloS one, 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. Article
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

2 authors.

Adrian BartoszekDepartment of Bioanalytics, Medical University of Lublin, Lublin, Poland.ORCID https://orcid.org/0000-0002-6840-7320
Emilia FornalDepartment of Bioanalytics, Medical University of Lublin, Lublin, Poland.ORCID https://orcid.org/0000-0002-0503-0706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is a prevalent neurological condition marked by seizures that lead to neurobiological and behavioral impairments. Caffeine (CAF), the world's most consumed stimulant, reportedly affects both epileptic seizures and the efficacy of antiepileptic drugs, particularly topiramate (TPM). This study aimed to investigate the effects of CAF on TPM in a pentylenetetrazol (PTZ)-induced seizure model using zebrafish larvae. Four days post-fertilization Danio rerio larvae were incubated for 18 hours with CAF, TPM, or CAF+TPM, followed by an assessment of locomotor activity. Seizures were induced by adding PTZ to achieve a final concentration of 20 mM. In the PTZ-induced seizure model, the application of CAF in doses over 50 mg/L resulted in a decrease in the average movement. TPM ( > 50 μM) significantly protected larvae against the PTZ. The addition of 15 mg/L CAF to TPM did not affect larval activity at any TPM concentration tested; however, higher doses of CAF significantly reduced larval activity. CAF doses above 25 mg/L altered the activity of larvae treated with TPM in the PTZ-induced seizure model. Larvae exhibited differential heart rate (HR) responses to CAF exposure across doses. CAF at 75 mg/L significantly increased HR, while doses of 175 mg/L and higher induced bradycardia. TPM, across all tested doses, did not independently influence HR. The study provides valuable insights into the interactions between CAF and TPM, which may inform future research on human epilepsy. However, the extrapolation of these results to other species should be approached cautiously due to physiological differences.

Indexed as

AnticonvulsantsCaffeineLocomotionSeizuresTopiramateAnimalsDisease Models, AnimalLarvaPentylenetetrazoleZebrafishAnticonvulsantsCaffeinePentylenetetrazoleTopiramate

Identifiers

PMID40036256
PMCPMC11878912

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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.