| Literature DB >> 35295338 |
Bo Wang1,2, Chao Shi2, Lei Feng2,3,4, Wei Pan2, Xiang-Ge Tian2, Cheng-Peng Sun2, Chao Wang2, Jing Ning2, Xia Lv2, Yan Wang2, Qian-Hui Yuan2, Rui-Xuan Guan2, Hou-Li Zhang2, Xiao-Chi Ma2,3, Tong-Hui Ma1.
Abstract
CYP3A4-mediated Phase I biotransformation is the rate-limiting step of elimination for many commonly used clinically agents. The modulatory effects of herbal medicines on CYP3A4 activity are one of the risk factors affecting the safe use of drug and herbal medicine. In the present study, the inhibitory effects of nearly hundred kinds of herbal medicines against CYP3A4 were evaluated based on a visual high-throughput screening method. Furthermore, biflavone components including bilobetin (7-demethylginkgetin, DGK), ginkgetin (GK), isoginkgetin (IGK), and amentoflavone (AMF) were identified as the main inhibitory components of Ginkgo biloba L. (GB) and Selaginella tamariscina (P. Beauv.) Spring (ST), which displayed very strong inhibitory effects toward CYP3A4. The inhibitory effects of these biflavones on clinical drugs that mainly undergo CYP3A4-dependent metabolism were evaluated. The IC 50 of GK toward tamoxifen, gefitinib and ticagrelor were found to be of 0.478 ± 0.003, 0.869 ± 0.001, and 1.61 ± 0.039 μM, respectively. These results suggest the potential pharmacokinetic interactions between the identified biflavones and clinical drugs undergoing CYP3A4-mediated biotransformation. The obtained information is important for guiding the rational use of herbal medicine in combination with synthetic pharmaceuticals.Entities:
Keywords: biflavone; cytochrome P450 3A4; herbal-drug interaction; inhibition mechanism; metabolism interaction
Year: 2022 PMID: 35295338 PMCID: PMC8920304 DOI: 10.3389/fphar.2022.856784
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
FIGURE 1High-throughput inhibition screening of inhibitory effects of herbal medicine towards CYP3A4. (A) Inhibition of CYP3A4 by herbal medicine extracts was determined based of their effect on the intensity of fluorescence at 570 ± 15 nm (λex: 488 nm, λem: 570 ± 15 nm, F12, G12, and H12 are control samples treated with solvent DMSO. (B) Quantitative analyses of inhibitory effects of herbal medicine towards CYP3A4. The residual activity was calculated by the volume ratio of herbal medicine and control samples (F12, G12, and H12).
FIGURE 2Identification the inhibitory components toward CYP3A4 in herbal medicines. LC-UV fingerprint of GB (A) and ST (C) extract, and the corresponding CYP3A4 inhibition profile of LC fractions (B, D).
Identification and characterization of inhibitory components with potent CYP3A4 inhibitory effects in GB and ST.
| Peak no. | tR (min) | Pseudo molecular ion [M + H]+ | Product ions (ESI+) | MW | Formula | Identification |
|---|---|---|---|---|---|---|
| 1 | 24.8 | 553.1119 | 553 [M + H]+ | 552 | C31H20O10 | DGK |
| 521 [M + H-CH3OH]+ | ||||||
| 403 [M + H-C8H6O-CH3OH]+ | ||||||
| 297 [M + H-C8H6O-C2H2O-C3O2-CO]+ | ||||||
| 153 [C7H4O4]+ | ||||||
| 121 [C7H6O2]+ | ||||||
| 2 | 28.8 | 567.1286 | 567 [M + H]+ | 566 | C32H22O10 | GK |
| 535 [M + H-CH3OH]+ | ||||||
| 417 [M + H-C8H6O-CH3OH]+ | ||||||
| 167 [C8H6O4]+121 [C7H6O2]+ | ||||||
| 3 | 29.3 | 567.1321 | 567 [M + H]+ | 566 | C32H22O10 | IGK |
| 535 [M + H-CH3OH]+ | ||||||
| 153 [C7H4O4]+ | ||||||
| 135 [C7H2O3]+ | ||||||
| 4 | 7.9 | 539.0984 | 539 [M + H]+ | 538 | C30H18O10 | AMF |
| 403 [M + H-C8H6O-H2O]+ | ||||||
| 377 [M + H-C9H6O3]+ | ||||||
| 153 [C7H4O4]+ | ||||||
| 121 [C7H6O2]+ |
FIGURE 3The concentration-dependent inhibitory effects of four identified biflavones against NEN-4-hydroxylation in HLM. (A) DGK, (B) GK, (C) IGK, and (D) AMF. Data are shown as the mean ± S.D. (n = 3). Each line represents the line of best fit to the data.
FIGURE 4The Lineweaver–Burk (Left) and Dixon (Right) plots of four identified biflavones. (A, B) DGK, (C, D) GK, (E, F) IGK, (G, H) AMF. Data are shown as the mean ± S.D. (n = 3). Each line represents the line of best fit to the data.
Inhibition parameters of inhibitory constitutes toward CYP3A4 in human liver microsomes.
| Biflavone |
| Type of inhibition | ɑ | Goodness of fit (R2) |
|---|---|---|---|---|
| DGK | 0.070 ± 0.018 | Mixed-inhibition | 2.98 | 0.9825 |
| GK | 0.034 ± 0.007 | Mixed-inhibition | 4.56 | 0.9859 |
| IGK | 0.278 ± 0.087 | Mixed-inhibition | 2.79 | 0.9808 |
| AMF | 0.101 ± 0.030 | Mixed-inhibition | 5.55 | 0.9758 |
The α value represent the degree to which the binding of the inhibitor influence the binding between enzyme and substrate. When α is greater than 1, the mixed-inhibition model is close to competitive inhibition.
FIGURE 5The concentration-dependent inhibitory effects of four identified biflavones against CYP3A4-mediated oxidation of tamoxifen (A–D), gefitinib (E–H) and ticagrelor (I–L) in HLM. (A, E, I) DGK, (B, F, J) GK, (C, G, K) IGK, (D, H, L) AMF. Data are shown as the mean ± S.D. (n = 3). Each line represents the line of best fit to the data.
IC 50 of biflavones toward clinical drugs.
|
| ||||
|---|---|---|---|---|
| DGK | GK | IGK | AMF | |
| Tamoxifen | 1.02 ± 0.088 | 0.478 ± 0.003 | 4.66 ± 0.236 | 2.72 ± 0.093 |
| Gefitinib | 1.72 ± 0.001 | 0.869 ± 0.001 | 13.1 ± 0.415 | 5.20 ± 0.527 |
| Ticagrelor | 3.50 ± 0.034 | 1.61 ± 0.039 | 10.2 ± 0.382 | 2.92 ± 0.047 |