| Literature DB >> 26891286 |
Nicholas E Thomford1,2, Charles Awortwe3, Kevin Dzobo4,5, Faustina Adu6, Denis Chopera7, Ambroise Wonkam8, Michelle Skelton9, Dee Blackhurst10, Collet Dandara11.
Abstract
Highly active antiretroviral therapy (HAART) has greatly improved health parameters of HIV infected individuals. However, there are several challenges associated with the chronic nature of HAART administration. For populations in health transition, dual use of medicinal plant extracts and conventional medicine poses a significant challenge. There is need to evaluate interactions between commonly used medicinal plant extracts and antiretroviral drugs used against HIV/AIDS. Efavirenz (EFV) and nevirapine (NVP) are the major components of HAART both metabolized by CYP2B6, an enzyme that can potentially be inhibited or induced by compounds found in medicinal plant extracts. The purpose of this study was to evaluate the effects of extracts of selected commonly used medicinal plants on CYP2B6 enzyme activity. Recombinant human CYP2B6 was used to evaluate inhibition, allowing the assessment of herb-drug interactions (HDI) of medicinal plants Hyptis suaveolens, Myrothamnus flabellifolius, Launaea taraxacifolia, Boerhavia diffusa and Newbouldia laevis. The potential of these medicinal extracts to cause HDI was ranked accordingly for reversible inhibition and also classified as potential time-dependent inhibitor (TDI) candidates. The most potent inhibitor for CYP2B6 was Hyptis suaveolens extract (IC50 = 19.09 ± 1.16 µg/mL), followed by Myrothamnus flabellifolius extract (IC50 = 23.66 ± 4.86 µg/mL), Launaea taraxacifolia extract (IC50 = 33.87 ± 1.54 µg/mL), and Boerhavia diffusa extract (IC50 = 34.93 ± 1.06 µg/mL). Newbouldia laevis extract, however, exhibited weak inhibitory effects (IC50 = 100 ± 8.71 µg/mL) on CYP2B6. Launaea taraxacifolia exhibited a TDI (3.17) effect on CYP2B6 and showed a high concentration of known CYP450 inhibitory phenolic compounds, chlorogenic acid and caffeic acid. The implication for these observations is that drugs that are metabolized by CYP2B6 when co-administered with these herbal medicines and when adequate amounts of the extracts reach the liver, there is a high likelihood of standard doses affecting drug plasma concentrations which could lead to toxicity.Entities:
Keywords: CYP450; herb-drug interactions; recombinant human CYPs; reversible inhibition; time-dependent inhibition
Mesh:
Substances:
Year: 2016 PMID: 26891286 PMCID: PMC6273559 DOI: 10.3390/molecules21020211
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1IC50 curve shift for Time Dependent Inhibition (TDI) determination. Hyptis suaveolens (HS) (a), Boerhavia diffusa (BD) (c), Myrothamnus flabellifolius (MF) (b) and Launaea taraxacifolia (LT) (d), at various concentrations were incubated with and without NADPH for 30 min. Percentage residual activity for no pre-incubation (closed circles) and 30 min pre-incubation (closed squares) is shown. Residual activity was calculated compared to control activity.
IC50 and IC50 fold shift due to incubation with or without Nicotinamide Adenine Dinucleotide Phosphate (NADPH).
| Inhibitor | Conventional IC50 (µg/mL) (Mean ± SEM) | IC50 (no Pre-Incubation with NADPH) (µg/mL) (Mean ± SEM) | IC50 (Pre-Incubation with NADPH) (µg/mL) (Mean ± SEM) | Fold Shift (−IC50/+IC50) |
|---|---|---|---|---|
| 100 ± 8.71 | ND | ND | ND | |
| 19.09 ± 1.16 | 10.60 ± 1.32 | 7.52 ± 1.20 | 1.40 | |
| 33.87 ± 1.54 | 29.90 ± 1.32 | 9.47 ± 1.41 | 3.17 | |
| 34.93± 1.06 | 35.20 ± 2.86 | 30.70 ± 2.02 | 1.20 | |
| 23.66 ± 4.86 | 29.09 ± 1.74 | 24.11 ± 1.24 | 1.21 | |
| Miconazole | 0.53 ± 0.14 | 0.63 ± 0.15 | 0.72 ± 0.20 | 0.88 |
Calculation of herbal medicine concentration in the gut.
| Herbal Extracts | % Yield | Recommended Herbal Dose (Single; mg) | Putative GIT Concentration (µg/mL) | Estimated Bioavailable Concentration (µg/mL) |
|---|---|---|---|---|
| 14.66 | 200 | 800 | 117.28 | |
| 6.51 | 400 | 1600 | 104.16 | |
| 10.40 | 200 | 800 | 83.3 | |
| 11.24 | 200 | 800 | 89.92 | |
| 10.80 | 200 | 800 | 86.4 |
Note: GIT, Gastrointestinal tract, estimated bioavailable concentration = (% yield × putative GIT concentration)/100.
In vivo prediction of HDI from in vitro for CYP2B6.
| Herbal Extracts | Inhibitor Concentration (µg/mL) | IC50 (µg/mL) | Risk of HDI in the Gut * |
|---|---|---|---|
| 117.28 | 100 | Unlikely | |
| 104.16 | 20.33 | Likely | |
| 83.20 | 33.87 | Likely | |
| 89.92 | 34.93 | Likely | |
| 86.40 | 23.66 | Likely |
Note: HDI, herb-drug interaction, inhibitor concentration = estimated bioavailable concentration (µg/mL), * the likelihood of a clinically relevant interaction when four of these herbal extracts are taken is based on the assumption that the % yield serves as the bioavailable fraction which was used in estimating the bioavailable concentration in the gut and also if there is complete absorption.
Figure 2Time dependent inhibition (TDI) classification of medicinal plant extract incubation based on IC50 curve shift.
Figure 3Inhibitory effects of 50 µg/mL of each extract after pre-incubation in the presence and absence of NADPH. ** Significant p value.
Quantification of compounds identified in herbal extracts using MS detection.
| Phenolic Compound | |||||
|---|---|---|---|---|---|
| Catechin | Trace | Trace | Trace | 1.40 ± 0.03 | 27.58 ± 0.10 |
| 7.54 ± 0.10 | 75.25 ± 0.10 | 751.41 ± 1.30 | 13.89 ± 0.10 | 39.13 ± 0.21 | |
| Caffeic acid | 10.01± 0.01 | 100.00 ± 0.97 | 998.59 ± 1.48 | 10.59 ± 0.06 | 3.98 ± 0.01 |
| Epicatechin | Trace | Trace | Trace | Trace | 170.06 ± 0.39 |
| Chlorogenic acid | 166.77 ± 0.20 | 1665.33 ± 0.87 | 1662.98 ± 2.10 | Trace | 5.84 ± 0.10 |
Note: values are expressed as mg·kg−1 for four biological replicates ± SD.
Figure 4Structures of the phenolic compounds identified and quantified from crude herbal extracts (1) Caffeic acid; (2) Catechin; (3) Chlorogenic acid; (4) Epicatechin; (5) p-Coumaric acid.
Herbal plants and their medicinal value.
| Plant Species | Commonly Found African Countries | Purported Medicinal Value |
|---|---|---|
| Ghana, Togo, Nigeria, Congo | Anti-malaria, immune booster, anti-bacterial, anti-fungal | |
| Ghana, Togo, Nigeria, Congo, Benin, Guinea | Anti-bacterial, anti-fungal, anti-malaria, anti-cholesterol | |
| Ghana, Togo, Nigeria, Congo, Benin, Guinea, Cote d’Ivoire | Anti-bacterial, anti-fungal, anti-malaria, anti-cholesterol, urinary infections, anti-diabetic | |
| Ghana, Togo, Nigeria, Congo, Benin, Guinea, Cote d’Ivoire, South Africa | Anti-bacterial, hepatoprotective, anti-nociceptive | |
| Zimbabwe, Botswana, South Africa, Uganda, Egypt | Anti-viral, immune booster |