Evidence map›Paper›PMID 42281510›Full record

ArticleVeterinary medicine and science2026

Combined Effects of Arsenic and Cadmium With Selenium on Oxidative Stress Indicators in Goldfish: Implications for Veterinary Toxicology.

Sarina Hosseinkhani, Mahdieh Raeeszadeh, Behnam Salimi

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Article in Veterinary medicine and science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sarina HosseinkhaniFaculty of Veterinary Sciences, Sa.C., Islamic Azad University, Sanandaj, Iran.
Mahdieh RaeeszadehDepartment of Basic Sciences, Sa.C., Islamic Azad University, Sanandaj, Iran.ORCID https://orcid.org/0000-0003-3460-8594
Behnam SalimiDepartment of Aquatic Animal Health and Disease, Sa.C., Islamic Azad University, Sanandaj, Iran.ORCID https://orcid.org/0000-0003-1258-3795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe individual and combined effects of toxic heavy metals, including arsenic (As) and cadmium (Cd) and their interactions with selenium (Se), play a crucial role in modulating bioaccumulation patterns and oxidative stress responses in aquatic organisms.

objectivesThis study aimed to evaluate the effects of As, Cd and Se, individually and in combination, on tissue metal accumulation and oxidative stress biomarkers in goldfish (Carassius auratus).

methodsA total of 210 fish were randomly assigned to seven experimental groups with three replicates each and exposed to single or combined concentrations of As, Cd and Se via water for 14 days. At the end of the exposure period, tissue concentrations of metals were determined using inductively coupled plasma mass spectrometry (ICP-MS). Oxidative stress biomarkers, including malondialdehyde (MDA), catalase (CAT) and superoxide dismutase (SOD), were assessed using spectrophotometric methods and commercial assay kits. RESULTS AND

conclusionsBody weight increased in all treatment groups compared to initial values. Co-exposure to Se significantly reduced As accumulation, with tissue concentrations decreasing from 0.16 ± 0.02 mg/kg in the As group to 0.10 ± 0.009 mg/kg in the combined exposure groups (approximately 62 % reduction; p < 0.05). In contrast, Cd accumulation showed no significant difference between the Cd (1.06 ± 0.09 mg/kg) and Cd+Se (1.01 ± 0.07 mg/kg) groups (p > 0.05). A significant positive correlation was observed between As concentration and MDA levels across all groups, including the control (p < 0.01). Conversely, Se exhibited a negative correlation with MDA and a positive correlation with SOD, indicating its protective role against oxidative damage. Overall, the results demonstrate that combined exposure to heavy metals can produce variable toxicological interactions, ranging from antagonistic to potentially synergistic effects, depending on the type of metal and exposure conditions. These interactions are closely associated with oxidative stress responses, highlighting potential ecological risks to aquatic organisms and public health concerns associated with the consumption of contaminated fish.

Indexed as

ArsenicCadmiumGoldfishOxidative StressSeleniumWater Pollutants, ChemicalAnimalsBiomarkersMalondialdehydeRandom AllocationArsenicBiomarkersCadmiumMalondialdehydeSeleniumWater Pollutants, ChemicalarseniccadmiumCarassius auratusoxidative stress biomarkersselenium

Identifiers

PMID42281510
PMCPMC13261304

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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.