Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
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Open Access
Type
ArticleAuthor/s
Wunnapuka, KlinteanGobec, Glenda
Endrec, Zoltan
Peaked, Philip
Gricea, Jeffrey E.
Roberts, Michael S.
Buckley, Nicholas A.
Liua, Xin
Abstract
Accidental or intentional ingestion of glyphosate surfactant-based herbicides, like Roundup, leads to nephrotoxicity as well as death. In this study, a panel of kidney injury biomarkers was evaluated in terms of suitability to detect acute kidney injury and dysfunction. The Roundup ...
See moreAccidental or intentional ingestion of glyphosate surfactant-based herbicides, like Roundup, leads to nephrotoxicity as well as death. In this study, a panel of kidney injury biomarkers was evaluated in terms of suitability to detect acute kidney injury and dysfunction. The Roundup intoxication model involved oral administration of glyphosate to rats at dose levels of 250, 500, 1200 and 2500 mg/kg. Urinary and plasma biomarker patterns were investigated at 8, 24 and 48 hours after dosing. Biomarkers were quantified by absolute concentration; by normalising to urine creatinine; and by calculating the excretion rate. The diagnostic performances of each method in predicting of acute kidney injury were compared. By Receiver Operating Characteristic (ROC) analysis of the selected biomarkers, only urinary kidney injury molecule-1 (KIM-1) best predicted histological changes at 8 h (best cut-off point > 0.00029 μg/ml). Plasma creatinine performed better than other biomarkers at 24 h (best cut-off point > 0.21 mg/dl). Urinary KIM-1 was the best early biomarker of kidney injury in this glyphosate-induced nephrotoxicity model.
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See moreAccidental or intentional ingestion of glyphosate surfactant-based herbicides, like Roundup, leads to nephrotoxicity as well as death. In this study, a panel of kidney injury biomarkers was evaluated in terms of suitability to detect acute kidney injury and dysfunction. The Roundup intoxication model involved oral administration of glyphosate to rats at dose levels of 250, 500, 1200 and 2500 mg/kg. Urinary and plasma biomarker patterns were investigated at 8, 24 and 48 hours after dosing. Biomarkers were quantified by absolute concentration; by normalising to urine creatinine; and by calculating the excretion rate. The diagnostic performances of each method in predicting of acute kidney injury were compared. By Receiver Operating Characteristic (ROC) analysis of the selected biomarkers, only urinary kidney injury molecule-1 (KIM-1) best predicted histological changes at 8 h (best cut-off point > 0.00029 μg/ml). Plasma creatinine performed better than other biomarkers at 24 h (best cut-off point > 0.21 mg/dl). Urinary KIM-1 was the best early biomarker of kidney injury in this glyphosate-induced nephrotoxicity model.
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Date
2014-02-10Publisher
ElsevierDepartment, Discipline or Centre
Discipline of PharmacologyCitation
Wunnapuk, K., Gobe, G., Endre, Z., Peake, P., Grice, J., Roberts, M., Buckley, N., Liu, X. (2014). Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers. Toxicology Letters, 225(1), 192-200, doi:10.1016/j.toxlet.2013.12.009Share