Evidence map›Paper›PMID 41057682›Full record

ArticleScientific reports2025

Integrating molecular biomarkers and ectoparasitic infestation to assess water quality.

Hamada S Salem, Rana H Omar, Ahmed M El-Naggar, Amira A Ibrahim, Mohamed I Mashaly

Abstract read
In one paragraph

Article in Scientific reports, 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. 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

5 authors.

Hamada S SalemLecturer of Environmental Science, Department of Zoology, Faculty of Science, Mansoura University, Egypt, 35516, Egypt. Hamada2012@mans.edu.eg.ORCID http://orcid.org/0000-0002-3057-6698
Rana H OmarAssistant Lecturer of Environmental Science, Department of Zoology, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt.
Ahmed M El-NaggarProfessor of Environmental Science, Department of Zoology, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt.
Amira A IbrahimLecturer of Molecular Biology, Botany and Microbiology Department, Faculty of Science, El-Arish University, El-Arish, 45512, Egypt.
Mohamed I MashalyAssociate Professor of Parasitology, Department of Zoology, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt.ORCID http://orcid.org/0000-0001-9053-5014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish and their ectoparasites serve as model organisms for evaluating aquatic ecosystem health and can thus function as bioindicators of environmental pollution. This study, therefore, investigates the gene expression of biomarkers of effect in Clarias gariepinus inhabiting a polluted drain called the Kitchener Drain and the Nile River (a reference habitat). Ectoparasites and metacercariae of digenean endoparasites on the collected fish were examined to further clarify the impact of pollution. Compared with the Nile River, the Kitchener Drain contained significantly elevated concentrations of heavy metals, bicarbonates, sulfates, and minerals. Interestingly, the prevalence, mean intensity, and abundance of ectoparasitic monogeneans from C. gariepinus collected from the Nile River were higher compared with those from the Kitchener Drain, whereas the drain had higher levels of metacercaria of the digenean endoparasite Centrocestus formosanus. Fish from the Kitchener Drain had significantly elevated hepatic expressions of genes related to metal toxicity, oxidative stress, inflammation, heat shock response, and xenobiotic metabolism. The results indicate that C. gariepinus exposed to metals and other pollutants triggers an adaptive response involving multiple stress-response pathways. The findings also highlight the impact of pollution on parasitic infestation in this fish population. The study supports the utilization of molecular biomarkers and ectoparasitic infestation as early warning signals for water pollution.

Indexed as

BiomarkersCatfishesEctoparasitic InfestationsFish DiseasesWater QualityAnimalsEnvironmental MonitoringMetals, HeavyRiversTrematodaWater Pollutants, ChemicalBiomarkersMetals, HeavyWater Pollutants, ChemicalBioindicatorsEctoparasitic infestationInflammation biomarkersOxidative stressWater quality assessment

Identifiers

PMID41057682
PMCPMC12504562

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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.