Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers

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 ® intoxication...

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Main Authors: Klintean Wunnapuk, Glenda Gobe, Zoltan Endre, Philip Peake, Jeffrey E. Grice, Michael S. Roberts, Nicholas A. Buckley, Xin Liu
Format: Journal
Published: 2018
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891653164&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/45172
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-451722018-01-24T06:06:19Z Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers Klintean Wunnapuk Glenda Gobe Zoltan Endre Philip Peake Jeffrey E. Grice Michael S. Roberts Nicholas A. Buckley Xin Liu 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 ® intoxication model involved oral administration of glyphosate to rats at dose levels of 250, 500, 1200 and 2500mg/kg. Urinary and plasma biomarker patterns were investigated at 8, 24 and 48h 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 8h (best cut-off point > 0.00029μg/ml). Plasma creatinine performed better than other biomarkers at 24h (best cut-off point > 0.21mg/dl). Urinary KIM-1 was the best early biomarker of kidney injury in this glyphosate-induced nephrotoxicity model. © 2013 Elsevier Ireland Ltd. 2018-01-24T06:06:19Z 2018-01-24T06:06:19Z 2014-02-10 Journal 18793169 03784274 2-s2.0-84891653164 10.1016/j.toxlet.2013.12.009 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891653164&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/45172
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description 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 ® intoxication model involved oral administration of glyphosate to rats at dose levels of 250, 500, 1200 and 2500mg/kg. Urinary and plasma biomarker patterns were investigated at 8, 24 and 48h 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 8h (best cut-off point > 0.00029μg/ml). Plasma creatinine performed better than other biomarkers at 24h (best cut-off point > 0.21mg/dl). Urinary KIM-1 was the best early biomarker of kidney injury in this glyphosate-induced nephrotoxicity model. © 2013 Elsevier Ireland Ltd.
format Journal
author Klintean Wunnapuk
Glenda Gobe
Zoltan Endre
Philip Peake
Jeffrey E. Grice
Michael S. Roberts
Nicholas A. Buckley
Xin Liu
spellingShingle Klintean Wunnapuk
Glenda Gobe
Zoltan Endre
Philip Peake
Jeffrey E. Grice
Michael S. Roberts
Nicholas A. Buckley
Xin Liu
Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
author_facet Klintean Wunnapuk
Glenda Gobe
Zoltan Endre
Philip Peake
Jeffrey E. Grice
Michael S. Roberts
Nicholas A. Buckley
Xin Liu
author_sort Klintean Wunnapuk
title Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
title_short Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
title_full Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
title_fullStr Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
title_full_unstemmed Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
title_sort use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891653164&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/45172
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