Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers
| dc.contributor.author | Wunnapuk, K. | |
| dc.contributor.author | Gobe, G. | |
| dc.contributor.author | Endre, Z. | |
| dc.contributor.author | Peake, P. | |
| dc.contributor.author | Grice, J.E. | |
| dc.contributor.author | Roberts, M.S. | |
| dc.contributor.author | Buckley, N.A. | |
| dc.contributor.author | Liu, X. | |
| dc.date.issued | 2014 | |
| dc.description | Data source: Supplementary data, https://doi.org/10.1016/j.toxlet.2013.12.009 | |
| dc.description.abstract | Accidental or intentional ingestion of glyphosate surfactant-based herbicides, like Roundup®, leads tonephrotoxicity as well as death. In this study, a panel of kidney injury biomarkers was evaluated in termsof suitability to detect acute kidney injury and dysfunction. The Roundup®intoxication model involvedoral administration of glyphosate to rats at dose levels of 250, 500, 1200 and 2500 mg/kg. Urinary andplasma biomarker patterns were investigated at 8, 24 and 48 h after dosing. Biomarkers were quantifiedby absolute concentration; by normalising to urine creatinine; and by calculating the excretion rate. Thediagnostic performances of each method in predicting of acute kidney injury were compared. By ReceiverOperating 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 g/ml). Plasma creatinineperformed better than other biomarkers at 24 h (best cut-off point > 0.21 mg/dl). Urinary KIM-1 was thebest early biomarker of kidney injury in this glyphosate-induced nephrotoxicity model. | |
| dc.identifier.citation | Toxicology Letters, 2014; 225(1):192-200 | |
| dc.identifier.doi | 10.1016/j.toxlet.2013.12.009 | |
| dc.identifier.issn | 0378-4274 | |
| dc.identifier.issn | 1879-3169 | |
| dc.identifier.uri | https://hdl.handle.net/1959.8/159694 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ireland | |
| dc.relation.funding | NHMRC 1011772 | |
| dc.relation.funding | Chiang Mai University Faculty of Development Fund | |
| dc.relation.funding | University of Queensland | |
| dc.rights | Copyright 2013 Elsevier Ireland Access Condition Notes: Accepted manuscript only available on Open Access | |
| dc.source.uri | https://doi.org/10.1016/j.toxlet.2013.12.009 | |
| dc.subject | glyphosate | |
| dc.subject | acute kidney injury | |
| dc.subject | kidney injury molecule-1 | |
| dc.subject | cystatin-C | |
| dc.subject | creatinine | |
| dc.subject | roundup | |
| dc.title | Use of a glyphosate-based herbicide-induced nephrotoxicity model to investigate a panel of kidney injury biomarkers | |
| dc.type | Journal article | |
| pubs.publication-status | Published | |
| ror.fileinfo | 12160347510001831 13196939910001831 9915910035301831_12160347510001831_13160347500001831_CS | |
| ror.mmsid | 9915910035301831 |
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