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Hoffmann, R. A wiki for the life sciences where authorship matters. Nature Genetics (2008)
 
 
 
 
 
 

Simultaneous and sensitive measurement of anabasine, nicotine, and nicotine metabolites in human urine by liquid chromatography-tandem mass spectrometry.

BACKGROUND: Determination of nicotine metabolism/pharmacokinetics provides a useful tool for estimating uptake of nicotine and tobacco-related toxicants, for understanding the pharmacologic effects of nicotine and nicotine addiction, and for optimizing nicotine dependency treatment. METHODS: We developed a sensitive method for analysis of nicotine and five major nicotine metabolites, including cotinine, trans-3'-hydroxycotinine, nicotine-N'-oxide, cotinine-N-oxide, and nornicotine, in human urine by liquid chromatography coupled with a TSQ Quantum triple quadrupole tandem mass spectrometer (LC/MS/MS). Urine samples to which deuterium-labeled internal standards had been added were extracted with a simple solid-phase extraction procedure. Anabasine, a minor tobacco alkaloid, was also included. RESULTS: The quantification limits of the method were 0.1-0.2 microg/L, except for nicotine (1 microg/L). Cotinine-N-oxide, trans-3'-hydroxycotinine, nicotine, and anabasine in urine were almost completely recovered by the solid-phase extraction, whereas the mean extraction recoveries of nicotine-N'-oxide, cotinine, and nornicotine were 51.4%, 78.6%, and 78.8%, respectively. This procedure provided a linearity of three to four orders of magnitude for the target analytes: 0.2-400 microg/L for nicotine-N'-oxide, cotinine-N-oxide, and anabasine; 0.2-4000 microg/L for cotinine, nornicotine, and trans-3'-hydroxycotinine; and 1.0-4000 microg/L for nicotine. The overall interday method imprecision and recovery were 2.5-18% and 92-109%, respectively. CONCLUSIONS: This sensitive LC/MS/MS procedure can be used to determine nicotine metabolism profiles of smokers, people during nicotine replacement therapy, and passively exposed nonsmokers. This method avoids the need for a time-consuming and labor-intensive sample enrichment step and thus allows for high-throughput sample preparation and automation.[1]

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