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Vadadustat is a newly launched hypoxia-inducible factor stabilizer with anti-anemia and erythropoietic effects; however, its use in horses is expressly forbidden in both racing and equestrian competitions. Following our previous report on the pharmacokinetic study of vadadustat in horse plasma and urine, a long-term longitudinal analysis of vadadustat in horse hair after nasoesophageal administration (3 g/day for 3 days) to three thoroughbred mares is described in this study. Our main objective is to further extend the detection period of vadadustat for the purpose of doping control. Three bunches of mane hair from each horse were collected at 0 (pre), 1, 2, 3 and 6 month(s) post-administration. These hair samples were each cut into 2-cm segments and pulverized after decontamination of hair samples. The analyte in the powdered hair samples was extracted with liquid–liquid extraction followed by further purification by solid-phase extraction with strong anion exchange columns. The amount of vadadustat incorporated into the hair was quantified with a newly developed and validated method using liquid chromatography–high-resolution mass spectrometry. Our results show that vadadustat was confirmed in all post-administration hair samples, but its metabolites were not present. Thus, the detection window for vadadustat could be successfully extended up to 6 months post-administration. Interestingly, the 2-cm segmental analysis revealed that the tip of the drug band in the hair shifted along with the hair shafts in correspondence with the average hair growth rate (∼2.5 cm/month) but gradually diffused more widely from 2 cm at 1 month post-administration to up to 14 cm at 6 months post-administration. However, the loss in the total amount of vadadustat in hair over time was observed to most likely be due to the degradation of vadadustat. These findings will be useful for the control of abuse and/or misuse of vadadustat and the interpretation of positive doping cases. [ABSTRACT FROM AUTHOR]

Rationale: For the purpose of doping control, this is the first report of accurate quantification of four critical structural isomers of nicotine metabolites (trans‐3′‐hydroxycotinine, cis‐3′‐hydroxycotinine, 5′‐hydroxycotinine, and N′‐hydroxymethylnorcotinine) in equine plasma and urine for the establishment of their elimination profiles. Besides, the pharmacokinetic studies of trans‐3′‐hydroxycotinine and N′‐hydroxymethylnorcotinine in equine plasma and urine are also presented for the first time. Methods: The accurate quantification methods of the aforementioned four structural isomers in horse plasma and urine were successfully developed and validated using the solid‐phase extractions followed by liquid chromatography/tandem mass spectrometry analysis. Baseline chromatographic separation was achieved to completely differentiate these isomers, which shared the same selected reaction monitoring transition. Such methods were applied to post‐administration samples obtained from the nicotine and tobacco leaf administration studies for the establishment of pharmacokinetic profiles. Results: N′‐Hydroxymethylnorcotinine could be quantified for the longest period, ranging from 48 to 72 h in plasma and 96 h in urine after a single administration of 250 mg of nicotine and an equivalent amount of nicotine in tobacco leaves. In terms of detection, both N′‐hydroxymethylnorcotinine and trans‐3′‐hydroxycotinine could be detected up to the last sample collection time point (96 h), indicating that they are the most appropriate biomarkers for nicotine exposure. Conclusions: N′‐Hydroxymethylnorcotinine and trans‐3′‐hydroxycotinine were detected longest in plasma and urine samples after both nicotine and tobacco leaf administrations, and N′‐hydroxymethylnorcotinine was deemed most appropriate as a monitoring target due to its relatively higher abundance and slower elimination rate. These two biomarkers could also be used to differentiate sample contamination by tobacco products and genuine nicotine exposure to horse regardless of intentionality. [ABSTRACT FROM AUTHOR]

In drug metabolism studies in horses, non-targeted analysis by means of liquid chromatography coupled with high-resolution mass spectrometry with data-dependent acquisition (DDA) has recently become increasingly popular for rapid identification of potential biomarkers in post-administration biological samples. However, the most commonly encountered problem is the presence of highly abundant interfering components that co-elute with the target substances, especially if the concentrations of these substances are relatively low. In this study, we evaluated the possibility of expanding DDA coverage for the identification of drug metabolites by applying intelligently generated exclusion lists (ELs) consisting of a set of chemical backgrounds and endogenous substances. Daprodustat was used as a model compound because of its relatively lower administration dose (100 mg) compared to other hypoxia-inducible factor stabilizers and the high demand in the detection sensitivity of its metabolites at the anticipated lower concentrations. It was found that the entire DDA process could efficiently identify both major and minor metabolites (flagged beyond the pre-set DDA threshold) in a single run after applying the ELs to exclude 67.7–99.0% of the interfering peaks, resulting in a much higher chance of triggering DDA to cover the analytes of interest. This approach successfully identified 21 metabolites of daprodustat and then established the metabolic pathway. It was concluded that the use of this generic intelligent "DDA + EL" approach for non-targeted analysis is a powerful tool for the discovery of unknown metabolites, even in complex plasma and urine matrices in the context of doping control. [ABSTRACT FROM AUTHOR]

ABSTRACT Salbutamol is a short‐acting and selective beta‐2 adrenergic agonist. Inhaled (IH) administration of salbutamol is widely used to control lower respiratory tract disease in horses. Here, we estimated the pharmacokinetic parameters of salbutamol after a single intravenous (IV) or IH administration in six horses, and we statistically analysed the detection times with various dosing regimens. Plasma and urine concentrations of salbutamol were measured by liquid chromatography–tandem mass spectrometry, and data were modelled by using a nonlinear mixed effect model followed by Monte Carlo simulation (MCS). With IH salbutamol, the maximum plasma concentration was 0.12 ± 0.06 ng/mL at 0.29 ± 0.17 h after administration. Typical values were, for clearance, 1.53 L/kg/h; distribution volume at steady state, 5.43 L/kg; terminal half‐life, 6.06 h; IH bioavailability, 19.0%; and urine to plasma ratio, 2057. Statistically estimated 95th percentile detection times in the urine at levels below the international screening limit (0.5 ng/mL) proposed by the International Federation of Horseracing Authorities, as simulated in 5000 horses by MCS, were 44 h after 1.6 μg/kg q 24 and 54 h after 1.6 μg/kg q 4 h over a 3‐day IH administration period. [ABSTRACT FROM AUTHOR]