ArticleScientific reports2024
Investigation of multidirectional toxicity induced by high-dose molybdenum exposure with Allium test.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Defining biomaterial-driven design principles for bioabsorbable flow diverters: current state and perspectives.Bioactive materials · 2027Review
- Molybdenum as a biodegradable bone implant material assessed by ISO 10993-5/-12-compliant cytocompatibility testing and transcriptomic profiling in a human osteoblast cell line.Scientific reports · 2026Article
- Experimental assessment of radioprotective efficiency of Rhizoplaca chrysoleuca (Sm.) Zopf extract against uranyl nitrate hexahydrate.Scientific reports · 2026Article
- Article
- Integrated evaluation of methidathion-induced toxicity in Allium cepa with a multifactorial biological approach.Scientific reports · 2025Article
- Assessment of multifaceted toxicity induced by heavy metal contamination in the Gelevera stream using the Allium test.Scientific reports · 2025Article
- Multifaceted investigation of toxicity induced by overdoses of trace element iron with the Allium cepa.Scientific reports · 2025Article
- Phenolic profile and protective role of Calendula officinalis against molybdenum-induced toxiciy in Allium cepa.Scientific reports · 2025Article
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4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, the multifaceted toxicity induced by high doses of the essential trace element molybdenum in Allium cepa L. was investigated. Germination, root elongation, weight gain, mitotic index (MI), micronucleus (MN), chromosomal abnormalities (CAs), Comet assay, malondialdehyde (MDA), proline, superoxide dismutase (SOD), catalase (CAT) and anatomical parameters were used as biomarkers of toxicity. In addition, detailed correlation and PCA analyzes were performed for all parameters discussed. On the other hand, this study focused on the development of a two hidden layer deep neural network (DNN) using Matlab. Four experimental groups were designed: control group bulbs were germinated in tap water and application group bulbs were germinated with 1000, 2000 and 4000 mg/L doses of molybdenum for 72 h. After germination, root tips were collected and prepared for analysis. As a result, molybdenum exposure caused a dose-dependent decrease (p < 0.05) in the investigated physiological parameter values, and an increase (p < 0.05) in the cytogenetic (except MI) and biochemical parameter values. Molybdenum exposure induced different types of CAs and various anatomical damages in root meristem cells. Comet assay results showed that the severity of DNA damage increased depending on the increasing molybdenum dose. Detailed correlation and PCA analysis results determined significant positive and negative interactions between the investigated parameters and confirmed the relationships of these parameters with molybdenum doses. It has been found that the DNN model is in close agreement with the actual data showing the accuracy of the predictions. MAE, MAPE, RMSE and R2 were used to evaluate the effectiveness of the DNN model. Collective analysis of these metrics showed that the DNN model performed well. As a result, it has been determined once again that high doses of molybdenum cause multiple toxicity in A. cepa and the Allium test is a reliable universal test for determining this toxicity. Therefore, periodic measurement of molybdenum levels in agricultural soils should be the first priority in preventing molybdenum toxicity.
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