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Feng Y, Wan J, Chen B, Zhu Y, Firempong CK, Feng C, Imai T, Xu X, Yu J. In Vitro Metabolic Profiling of Periplogenin in Rat Liver Microsomes and its Associated Enzyme-kinetic Evaluation. CURR PHARM ANAL 2020. [DOI: 10.2174/1573412915666190101101710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
Periplogenin, an active ingredient in Cortex Periplocae, is widely noted for its
multiple biological activities; however, the metabolism of this compound has been scarcely investigated.
The present report proposed the in vitro metabolic profiling and reaction pathways of periplogenin in rat
liver microsomes.
Method and Results:
The metabolites of periplogenin in rat liver microsomes were analyzed. Two main
metabolites, namely 14-hydroxy-3-oxo-14β-carda-4, 20 (22)-dienolide and 5, 14-dihydroxy-3-oxo-5β,
14β-card-20(22)-enolide were identified by HPLC-MSn, 1H-NMR and 13C-NMR. HPLC method was
established for the simultaneous determination of periplogenin and its related metabolites (M0, M1 and
M2), which was performed on Waters ODS column with a methanol-water solution (53:47, v/v) as mobile
phase and descurainoside as an internal standard at 220 nm. The linearity ranges of M0, M1 and
M2 were 0.64-820.51, 0.68-864.86 and 0.64-824.74 μM respectively with the regression coefficient
(R2) above 0.9995. The limits of quantitation for these metabolites (M0, M1 and M2) were 0.18, 0.22
and 0.15 μM respectively. The developed method was also accurate (with relative errors of -3.6% to
3.2%) and precise (with relative standard deviations below 7.9%). The recoveries of the three analytes
were above 85.7% with stability in the range of -2.4% to 3.6%. The enzyme-kinetic parameters of
periplogenin including Vmax (6.08 ± 0.19 nmol/mg protein/min), Km (288.62 ± 14.54 μM) and Clint
(21 ± 1.0 μL/min/mg protein) were calculated using nonlinear regression analysis.
Conclusion:
These findings significantly highlighted the metabolic pathways of periplogenin and also
provided some reference data for future pharmacokinetic and pharmacodynamic studies.
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Affiliation(s)
- Yingshu Feng
- Center for Nano Drug/Gene Delivery and Tissue Engineering, School of Pharmacy, Jiangsu University, Zhenjiang 212013, China
| | - Jinyi Wan
- Center for Nano Drug/Gene Delivery and Tissue Engineering, School of Pharmacy, Jiangsu University, Zhenjiang 212013, China
| | - Baoding Chen
- Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - Yuan Zhu
- Center for Nano Drug/Gene Delivery and Tissue Engineering, School of Pharmacy, Jiangsu University, Zhenjiang 212013, China
| | - Caleb Kesse Firempong
- Center for Nano Drug/Gene Delivery and Tissue Engineering, School of Pharmacy, Jiangsu University, Zhenjiang 212013, China
| | - Chunlai Feng
- Center for Nano Drug/Gene Delivery and Tissue Engineering, School of Pharmacy, Jiangsu University, Zhenjiang 212013, China
| | - Teruko Imai
- Department of Metabolism-based Drug Design and Delivery, Graduate School of Pharmaceutical Sciences, Kumamoto University, 5-1 0e-honmachi, Kumamoto, 862-0973, Japan
| | - Ximing Xu
- Center for Nano Drug/Gene Delivery and Tissue Engineering, School of Pharmacy, Jiangsu University, Zhenjiang 212013, China
| | - Jiangnan Yu
- Center for Nano Drug/Gene Delivery and Tissue Engineering, School of Pharmacy, Jiangsu University, Zhenjiang 212013, China
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