The objective of this study was to investigate the regulation of X-ray irradiation and its effect on the activity and protein and mRNA expression levels of CYP1A2 and CYP2E1 in rats. Rats were randomly divided into 0 Gy (control), 1 Gy (low-dose irradiation), and 5 Gy (high-dose irradiation) groups. CYP1A2 and CYP2E1 activity was evaluated from changes in pharmacokinetic parameters of caffeine and chlorzoxazone, respectively. The plasma concentrations of the probe drugs were determined by high-performance liquid chromatography (HPLC). Enzyme-linked immunosorbent assay (ELISA) and real-time polymerase chain reaction (PCR) tests were used to analyze the protein and mRNA expression levels of CYP1A2 and CYP2E1, respectively. The AUC of caffeine was decreased by 1.7- and 2.5-fold, and the CL was increased by 1.8- and 2.6-fold in the 1 Gy and 5 Gy groups, respectively, compared to the 0 Gy group. The AUC of chlorzoxazone was 1.4- and 1.8-fold lower, and the CL was 1.4- and 1.9-fold higher in the 1 Gy and 5 Gy groups, respectively, compared to the 0 Gy group. The metabolism of caffeine and chlorzoxazone increased under X-ray irradiation as CL levels increased and AUC levels decreased, suggesting that CYP1A2 and CYP2E1 activity is enhanced in rats after X-ray irradiation. Compared to that of the 0 Gy group, the protein expression level of CYP1A2 was measured as 28.3% and 38.9% higher in the 1 Gy and 5 Gy groups, respectively. The protein expression level of CYP2E1 was 48.4% higher in the 5 Gy group compared to the 0 Gy group, and there was no statistically significant difference between 0 Gy and 1 Gy. Compared to the 0 Gy group, the mRNA expression level of CYP1A2 was 200% and 856.3% higher in the 1 Gy and 5 Gy group, respectively, whereas the mRNA expression level of CYP2E1 was 89.0% and 192.3% higher in the 1 Gy and 5 Gy groups, respectively. This study reveals significant changes in the activity and protein and mRNA expression levels of CYP1A2 and CYP2E1 in rats after exposure to X-ray irradiation.
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http://dx.doi.org/10.3389/fphar.2019.01575 | DOI Listing |
Food Saf (Tokyo)
December 2024
Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
A Template system for the understanding of human CYP2J2-mediated reactions was constructed from the assembly of the ligands with the introduction of ideas of allowable width, Trigger-residue and the residue-initiated movement of ligands in the active site, which were in common with other Template* systems for human CYP1A1, CYP1A2, CYP2B6, CYP2C8, CYP2C9, CYP2C18, CYP2C19, CYP2E1, CYP3A4, CYP3A5, and CYP3A7 (Drug Metab Pharmacokinet 2016, 2017, 2019, 2020, 2021, 2022, 2023, 2024, and in press 2024). CYP2J2 system also includes ideas of bi-molecule binding of ligands on the Template. From their placements on the Template and rules for interaction modes, verifications of good and poor substrates, regio/stereo-selectivity, and inhibitory interaction became available faithfully for these ligands.
View Article and Find Full Text PDFCPT Pharmacometrics Syst Pharmacol
November 2024
Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.
Age and aging are important predictors of health status, disease progression, drug kinetics, and effects. The purpose was to develop ensemble learning-based physiological age (PA) models for evaluating drug metabolism. National Health and Nutrition Examination Survey (NHANES) data were modeled with ensemble learning to obtain two PA models, PA-M1 and PA-M2.
View Article and Find Full Text PDFKeemun black tea (KBT) is a luxurious traditional tea in China that has been commonly consumed because of its superior aroma and special taste. However, the risks remain unknown when KBT is used concomitantly with other drugs or food products. Therefore, we aimed to explore the effect of the tea polyphenols from KBT on the protein and mRNA levels of CYP450 and related mechanisms.
View Article and Find Full Text PDFChem Res Toxicol
November 2024
Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka 4228526, Japan.
The prediction of cytochrome P450 inhibition by a computational (quantitative) structure-activity relationship approach using chemical structure information and machine learning would be useful for toxicity research as a simple and rapid tool. However, there are few models focusing on the species differences between rat and human in the P450s inhibition. This study aimed to establish models to classify chemical substances as inhibitors or non-inhibitors of various rat and human P450s, using only molecular descriptors.
View Article and Find Full Text PDFBiochem Pharmacol
December 2024
Department of Chemistry, Washington State University, Pullman, WA 99164, USA. Electronic address:
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