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 mo...

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Main Authors: Wunnapuk K., Gobe G., Endre Z., Peake P., Grice J.E., Roberts M.S., Buckley N.A., Liu X.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84891653164&partnerID=40&md5=4e7cb15caae51d5eee713276c1b70e8f
http://cmuir.cmu.ac.th/handle/6653943832/4259
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-42592014-08-30T02:35:51Z Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers Wunnapuk K. Gobe G. Endre Z. Peake P. Grice J.E. Roberts M.S. Buckley N.A. Liu X. 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. 2014-08-30T02:35:51Z 2014-08-30T02:35:51Z 2014 Article 03784274 10.1016/j.toxlet.2013.12.009 24361898 TOLED http://www.scopus.com/inward/record.url?eid=2-s2.0-84891653164&partnerID=40&md5=4e7cb15caae51d5eee713276c1b70e8f http://cmuir.cmu.ac.th/handle/6653943832/4259 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
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 Article
author Wunnapuk K.
Gobe G.
Endre Z.
Peake P.
Grice J.E.
Roberts M.S.
Buckley N.A.
Liu X.
spellingShingle Wunnapuk K.
Gobe G.
Endre Z.
Peake P.
Grice J.E.
Roberts M.S.
Buckley N.A.
Liu X.
Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
author_facet Wunnapuk K.
Gobe G.
Endre Z.
Peake P.
Grice J.E.
Roberts M.S.
Buckley N.A.
Liu X.
author_sort Wunnapuk K.
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 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84891653164&partnerID=40&md5=4e7cb15caae51d5eee713276c1b70e8f
http://cmuir.cmu.ac.th/handle/6653943832/4259
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