Literature DB >> 24306330

Determination of urine caffeine and its metabolites by use of high-performance liquid chromatography-tandem mass spectrometry: estimating dietary caffeine exposure and metabolic phenotyping in population studies.

Michael E Rybak1, Ching-I Pao, Christine M Pfeiffer.   

Abstract

We have developed and validated a high-performance liquid chromatography-tandem mass spectrometric (LC-MS/MS) method for determining urine caffeine and 14 caffeine metabolites suitable for estimating caffeine exposure and metabolic phenotyping in population studies. Sample preparation consisted solely of a series of simple reagent treatments at room temperature. Stable isotope-labeled analogs were used as internal standards for all analytes. We developed rapid LC-MS/MS separations for both positive and negative ion mode electrospray ionizations to maximize measurement sensitivity. Limits of detection were 0.05-0.1 μmol/L depending on the analytes. Method imprecision, based on total coefficients of variation, was generally <7 % when analyte concentration was >1 μmol/L. Analyte recoveries were typically within 10 % of being quantitative (100 %), and good agreement was observed among analytes measured across different MS/MS transitions. We applied this method to the analysis of a convenience set of human urine samples (n = 115) and were able to detect a majority of the analytes in ≥99 % of samples as well as calculate caffeine metabolite phenotyping ratios for cytochrome P450 1A2 and N-acetyltransferase 2. Whereas existing LC-MS/MS methods are limited in number of caffeine metabolites for which they are validated, or are designed for studies in which purposely elevated caffeine levels are expected, our method is the first of its kind designed specifically for the rapid, sensitive, accurate, and precise measurement of urine caffeine and caffeine metabolites at concentrations relevant to population studies.

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Year:  2013        PMID: 24306330     DOI: 10.1007/s00216-013-7506-9

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  7 in total

1.  Urine excretion of caffeine and select caffeine metabolites is common in the U.S. population and associated with caffeine intake.

Authors:  Michael E Rybak; Maya R Sternberg; Ching-I Pao; Namanjeet Ahluwalia; Christine M Pfeiffer
Journal:  J Nutr       Date:  2015-02-04       Impact factor: 4.798

2.  Comparing metabolite profiles of habitual diet in serum and urine.

Authors:  Mary C Playdon; Joshua N Sampson; Amanda J Cross; Rashmi Sinha; Kristin A Guertin; Kristin A Moy; Nathaniel Rothman; Melinda L Irwin; Susan T Mayne; Rachael Stolzenberg-Solomon; Steven C Moore
Journal:  Am J Clin Nutr       Date:  2016-08-10       Impact factor: 7.045

3.  Pregnancy-induced changes in the pharmacokinetics of caffeine and its metabolites.

Authors:  Tian Yu; Sarah C Campbell; Chris Stockmann; Casey Tak; Katherine Schoen; Erin A S Clark; Michael W Varner; Michael G Spigarelli; Catherine M T Sherwin
Journal:  J Clin Pharmacol       Date:  2015-12-22       Impact factor: 3.126

4.  Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC-MS-Based Untargeted Metabolomics Study.

Authors:  Wang Lijing; Ke Sujie; Wang Linxi; Huang Lishan; Qi Liqin; Zhan Zhidong; Wu Kejun; Zhang Mengjun; Liu Xiaoying; Liu Xiaohong; Liu Libin
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-17       Impact factor: 6.055

Review 5.  PharmGKB summary: very important pharmacogene information for N-acetyltransferase 2.

Authors:  Ellen M McDonagh; Sotiria Boukouvala; Eleni Aklillu; David W Hein; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2014-08       Impact factor: 2.089

6.  Determination of Urinary Caffeine Metabolites as Biomarkers for Drug Metabolic Enzyme Activities.

Authors:  Hyeong Jun Kim; Min Sun Choi; Shaheed Ur Rehman; Young Seok Ji; Jun Sang Yu; Katsunori Nakamura; Hye Hyun Yoo
Journal:  Nutrients       Date:  2019-08-19       Impact factor: 5.717

7.  Shared Metabolic Profile of Caffeine in Parkinsonian Disorders.

Authors:  Haruka Takeshige-Amano; Shinji Saiki; Motoki Fujimaki; Shin-Ichi Ueno; Yuanzhe Li; Taku Hatano; Kei-Ichi Ishikawa; Yutaka Oji; Akio Mori; Ayami Okuzumi; Taiji Tsunemi; Kensuke Daida; Yuta Ishiguro; Yoko Imamichi; Hisayoshi Nanmo; Shuko Nojiri; Manabu Funayama; Nobutaka Hattori
Journal:  Mov Disord       Date:  2020-05-01       Impact factor: 10.338

  7 in total

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