2024-03-29T11:40:06Z
https://u-ryukyu.repo.nii.ac.jp/oai
oai:u-ryukyu.repo.nii.ac.jp:02012413
2023-08-03T05:25:15Z
1642838163960:1642838338003
1642838403551:1642838407795
Determination of Urinary Caffeine Metabolites as Biomarkers for Drug Metabolic Enzyme Activities
Kim, Hyeong Jun
Choi, Min Sun
Rehman, Shaheed Ur
Ji, Young Seok
Yu, Jun Sang
Nakamura, Katsunori
Yoo, Hye Hyun
caffeine
metabolites
phenotyping
CYP450
NAT
xanthine oxidase
Caffeine is commonly taken via the daily dietary consumption of caffeine-containing foods. The absorbed caffeine is metabolized to yield various metabolites by drug-metabolizing enzymes, and measuring the levels of each caffeine metabolite can provide useful information for evaluating the phenotypes of those enzymes. In this study, the urinary concentrations of caffeine and its 13 metabolites were determined, and the phenotypes of drug metabolic enzymes were investigated based on the caffeine metabolite ratios. Human urine samples were pretreated using solid phase extraction, and caffeine and its metabolites were analyzed using liquid chromatography-tandem mass spectrometry. Based on the urinary caffeine metabolite concentrations, the caffeine metabolite ratios were calculated for six human subjects at specified time points after caffeine intake. Variations in urinary metabolite levels among individuals and time points were reported. In addition, the resultant enzyme activities showed different patterns, depending on the metabolite ratio equations applied. However, some data presented a constant metabolite ratio range, irrespective of time points, even at pre-dose. This suggests the possibility of urinary caffeine metabolite analysis for routine clinical examination. These findings show that urinary caffeine and the metabolite analysis would be useful in evaluating metabolic phenotypes for personalized medicine.
論文
http://purl.org/coar/resource_type/c_6501
MDPI
2019-08
VoR
http://hdl.handle.net/20.500.12000/45975
2072-6643
Nutrients
8
11
eng
https://doi.org/10.3390/nu11081947
https://doi.org/10.3390/nu11081947
open access
Creative Commons Attribution 4.0
https://creativecommons.org/licenses/by/4.0/