A computer-based pattern recognition (PR) approach has been applied to the interpretation of 1H NMR generated urinalysis data in a variety of experimental toxicity states in the rat. 1H NMR signal intensities for each endogenous metabolite in urine were regarded as coordinates in multi-dimensional space and analysed using computer pattern recognition methods through which the dimensionality was reduced for display and categorization purposes. Initially 17 metabolic dimensions were used which were defined by the scored relative concentrations of a variety of urinary metabolites detected in 1H NMR spectra. By employing the unsupervised learning methods of 2- and 3-dimensional nonlinear mapping (NLM) different types of toxin (hepatotoxins, cortical and papillary nephrotoxins) could be classified according to NMR-detectable biochemical effects in the urine. The robustness of the classification methods, and the influence of the addition of new scored biochemical data reflecting dose response situations, nutritional effects on toxicity, sex differences in biochemical response to toxins and addition of a new toxin class (testicular toxin) to the pattern recognition analysis were also evaluated. We find that the initial training set maps are fundamentally stable to the addition of all data types and that the PR methods correctly 'predicted' the toxicological effects of the test compounds. These results confirm the power and wide applicability of linked PR and 1H NMR urinalysis as an approach to the generation and classification of acute toxicological data.

The urinary excretion of taurine by rats after dosing with various hepatotoxins has been investigated by 1H NMR spectroscopy. After single hepatotoxic doses of hydrazine, carbon tetrachloride, 1-naphthylisothiocyanate, or thioacetamide there was biochemical and histopathological evidence of hepatic damage. Proton NMR spectroscopy of the urine collected for 24 h after dosing from these animals revealed a marked elevation in taurine (control 11.9 mumole/h/kg) after dosing with thioacetamide (42.2 mumole/h/kg), carbon tetrachloride (52.5 mumole/h/kg), 1-naphthyl-isothiocyanate (80.4 mumole/h/kg) and hydrazine (52.9 mumole/h/kg). After allyl alcohol administration there was no increase in taurine excretion (7.5 mumol/h/kg). The excretion of taurine after hydrazine administration was dose related. High resolution proton NMR spectroscopic analysis of urine also revealed resonances from several metabolites of hydrazine, an N-acetylcysteine conjugate of allyl alcohol, and acetamide as a metabolite of thioacetamide after dosing with the respective compounds. Changes in endogenous substances that may be related to the pathological events were also detected, such as a decrease in the excretion of 2-oxoglutarate and citrate after both hydrazine and carbon tetrachloride administration. The results confirm that proton NMR spectroscopic analysis of urine is a powerful analytical tool for the evaluation and study of toxic substances. Furthermore, measurement of urinary taurine may provide a non-invasive indicator of acute hepatic damage with certain classes of hepatotoxins.

The metabolism and disposition of hydrazine and its effects on endogenous metabolites has been studied in rats by the use of high resolution proton NMR spectroscopy of urine. Several metabolites of hydrazine were detected, notably acetyl- and diacetylhydrazine and a cyclised metabolite which results from a hydrazone formed from 2-oxoglutarate and hydrazine. Effects of hydrazine on endogenous metabolites in urine and plasma were also observed; notably a dose-related increase in urinary taurine, a dose-related increase in urinary and plasma lactate, increases in urinary alpha-alanine, beta-alanine, methylamine and a decrease in urinary 2-oxoglutarate. This study has indicated the utility of using high resolution proton NMR spectroscopy to analyse urine for both metabolites and endogenous compounds after exposure of animals to toxic substances.

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