Multiple metabolic pathways are predictive of ricin intoxication in a rat model
Multiple metabolic pathways are predictive of ricin intoxication in a rat model
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DOI:
10.1007/s11306-019-1547-9
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发表时间:
2019-07-01
期刊:
影响因子:
3.6
通讯作者:
Dunn, Warwick B.
中科院分区:
文献类型:
--
作者:
D'Elia, Riccardo, V;Goodchild, Sarah A.;Dunn, Warwick B.
IntroductionExposure to ricin can be lethal and treatments that are under development have short windows of opportunity for administration after exposure. It is therefore essential to achieve early detection of ricin exposure to provide the best prognosis for exposed individuals. Ricin toxin can be detected in clinical samples via several antibody-based techniques, but the efficacy of these can be limited due to the rapid processing and cellular uptake of toxin in the body and subsequent low blood ricin concentrations. Other diagnostic tools that perform, in an orthogonal manner, are therefore desirable.ObjectivesTo determine time-dependent metabolic changes in Sprague-Dawley rats following intravenous exposure to ricin.MethodsSprague-Dawley rats were intravenously exposed to ricin and multiple blood samples were collected from each animal for up to 48h following exposure in two independent studies. Plasma samples were analysed applying HILIC and C-18 reversed phase UHPLC-MS assays followed by univariate and multivariate analysis.ResultsIn Sprague-Dawley rats we have demonstrated that metabolic changes measured in blood can distinguish between rats exposed intravenously to ricin and controls prior to the onset of behavioral signs of intoxication after 24h. A total of 37 metabolites were significantly altered following exposure to ricin when compared to controls. The arginine/proline, bile acid and triacylglyceride metabolic pathways were highlighted as being important with two triacylglycerides at 8h post exposure giving an AUROC score of 0.94. At 16h and 24h the AUROC score increased to 0.98 and 1.0 with the number of metabolites in the panel increasing to 5 and 7, respectively.ConclusionsThese data demonstrate that metabolites may be a useful tool to diagnose and detect ricin exposure, thus increasing the effectiveness of supportive therapy and future ricin-specific medical treatments.