Metabolism and elimination of the catechol-o-methyltransferase inhibitor tolcapone in the horse

3-Methoxytyrosine as an indicator of dopaminergic manipulation in equine plasma

The use of catechol-O-methyltransferase inhibitors may mask doping agents, primarily levodopa, administered to racehorses and prolong the stimulating effects of dopaminergic compounds such as dopamine. It is known that 3-methoxytyramine is a metabolite of dopamine and 3-methoxytyrosine is a metabolite of levodopa thus these compounds are proposed to be potential biomarkers of interest. Previous research established a urinary threshold of 4,000 ng/mL for 3-methoxytyramine to monitor misuse of dopaminergic agents. However, there is no equivalent biomarker in plasma. To address this deficiency a rapid protein precipitation method was developed and validated to isolate target compounds from 100 µL equine plasma. A liquid chromatography-high resolution accurate mass (LC-HRAM) method using an IMTAKT Intrada amino acid column provided quantitative analysis of 3-methoxytyrosine (3-MTyr) with lower limit of quantification of 5 ng/mL. Reference population profiling (n = 1129) investigated the expected basal concentrations for raceday samples from equine athletes and showed a right-skewed distribution (skewness = 2.39, kurtosis = 10.65) which resulted from large variation (RSD = 71%) within the data. Logarithmic transformation of the data provided a normal distribution (skewness = 0.26, kurtosis = 3.23) resulting in the proposal of a conservative threshold for plasma 3-MTyr of 1,000 ng/mL at a 99.995% confidence level. A 12-horse administration study of Stalevo® (800 mg L-DOPA, 200 mg carbidopa, 1600 mg entacapone) revealed elevated 3-MTyr concentrations for 24-hours post-administration.

Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues

Metabolomics is a multidisciplinary field providing workflows for complementary approaches to conventional analytical determinations. It allows for the study of metabolically related groups of compounds or even the study of novel pathways within the biological system. The procedural stages of metabolomics; experimental design, sample preparation, analytical determinations, data processing and statistical analysis, compound identification and validation strategies are explored in this review. The selected approach will depend on the type of study being conducted. Experimental design influences the whole metabolomics workflow and thus needs to be properly assessed to ensure sufficient sample size, minimal introduced and biological variation and appropriate statistical power. Sample preparation needs to be simple, yet potentially global in order to detect as many compounds as possible. Analytical determinations need to be optimised either for the list of targeted compounds or a universal approach. Data processing and statistical analysis approaches vary widely and need to be better harmonised for review and interpretation. This includes validation strategies that are currently deficient in many presented workflows. Common compound identification approaches have been explored in this review. Metabolomics applications are discussed for clinical and forensic toxicology, human and equine sports anti-doping and veterinary residues.

The equine metabolism of the catechol-O-methyltransferase enzyme inhibitor nitecapone

The abuse of performance-enhancing catecholamine-based stimulants, such as levodopa, is controlled in horse racing through the application of a regulatory threshold for the common major metabolite. However, catechol-O-methyltransferase (COMT) enzyme inhibitors can be used to restrict the catalysis of the stimulant, and so the concurrent administration of both substances would be a viable strategy to enhance racing performance while removing the risk of exceeding the threshold. A 200 mg dose of nitecapone, a COMT inhibitor, was administered to a Thoroughbred horse, and we have analysed the blood (≤24 h) and urine (≤48 h) samples that were collected. The extracts, analysed by UHPLC coupled to a high-resolution accurate mass spectrometer, were consistent with the presence of nitecapone glucuronide in all the samples collected. An in-depth examination of the samples was then carried out using targeted accurate mass extracted ion chromatograms to identify whether the metabolites that have been found in other species were also present in the extracts. Once these were tentatively identified, MS/MS experiments were conducted on some of the metabolites (M1-M5), as well as decomposition products (DP1 and DP2), to verify that spectrum included MS fragments were consistent with their proposed structures. The accumulated data provided evidence that is consistent with this drug having been converted into many metabolites and a few decomposition products. An unexpected finding was that O-methylation was a very minor pathway until after the reduction of the 2,4-pentanedione side chain had occurred.