Janar Jenis1, Aizhamal Baiseitova2, Sang Hwa Yoon3, Chanin Park3, Jeong Yoon Kim2, Zuo Peng Li2, Keun Woo Lee3, Ki Hun Park2. 1. Research Center for Medicinal Plants, Al-Farabi Kazakh National University , Almaty , Kazakhstan. 2. Division of Applied Life Science (BK21 plus), IALS, Gyeongsang National University , Jinju , Republic of Korea. 3. Division of Applied Life Science (BK21 plus), PMBBRC, RINS, Gyeongsang National University , Jinju , Republic of Korea.
Abstract
This study aimed to search the α-glucosidase inhibitors from the barks part of Artocarpus elasticus. The responsible compounds for α-glucosidase inhibition were found out as dihydrobenzoxanthones (1-4) and alkylated flavones (5-6). All compounds showed a significant enzyme inhibition toward α-glucosidase with IC50s of 7.6-25.4 μM. Dihydrobenzoxanthones (1-4) exhibited a competitive inhibition to α-glucosidase. This competitive behaviour was fully characterised by double reciprocal plots, Yang's method, and time-dependent experiments. The compound 1 manifested as the competitive and reversible simple slow-binding, with kinetic parameters k3 = 0.0437 µM-1 min-1, k4 = 0.0166 min-1, and Kiapp = 0.3795 µM. Alkylated flavones (5-6) were mixed type I (KI < KIS) inhibitors. The binding affinities (KSV) represented by all inhibitors were correlated to their concentrations and inhibitory potencies (IC50). Moreover, compounds 1 and 5 were identified as new ones named as artoindonesianin W and artoflavone B, respectively. Molecular modelling study proposed the putative binding conformation of competitive inhibitors (1-4) to α-glucosidase at the atomic level.
This study aimed to search the α-glucosidase inhibitors from the barks part of Artocarpus elasticus. The responsible compounds for α-glucosidase inhibition were found out as dihydrobenzoxanthones (1-4) and alkylated flavones (5-6). All compounds showed a significant enzyme inhibition toward α-glucosidase with IC50s of 7.6-25.4 μM. Dihydrobenzoxanthones (1-4) exhibited a competitive inhibition to α-glucosidase. This competitive behaviour was fully characterised by double reciprocal plots, Yang's method, and time-dependent experiments. The compound 1 manifested as the competitive and reversible simple slow-binding, with kinetic parameters k3 = 0.0437 µM-1 min-1, k4 = 0.0166 min-1, and Kiapp = 0.3795 µM. Alkylated flavones (5-6) were mixed type I (KI < KIS) inhibitors. The binding affinities (KSV) represented by all inhibitors were correlated to their concentrations and inhibitory potencies (IC50). Moreover, compounds 1 and 5 were identified as new ones named as artoindonesianin W and artoflavone B, respectively. Molecular modelling study proposed the putative binding conformation of competitive inhibitors (1-4) to α-glucosidase at the atomic level.
Entities:
Keywords:
artoflavone B and α-glucosidase inhibition; artoindonesianin W; dihydrobenzoxanthones
α-Glucosidase is a widespread enzyme responsible for the hydrolytic cleavage of glucosidic
bonds, which involves a number of essentially biological processes from the digestive
process of carbohydrate to glycoprotein assembly. α-Glucosidase inhibitors might reduce
a blood sugar level and lead to suppressed postprandial hyperglycaemia responsible for
diabetes and obesity,. The surface of a mammalian cell is
decorated with complex carbohydrates known as glycans. Glycans mediate a cell’s communication with other cells and the
outside world. The pattern of complex
cell-surface glycans gives each cell type a unique and reproducible identity. These glycans are subjected to
extensive modification as glycoprotein mature and move to their final destination by
glycosidase. Most notable, α-glucosidase plays a more essential role because three terminals
are units at fourteen sugars of Glc2Man9GluNAc2 on
glycan,. Thus, the α-glucosidase inhibitory
functions are associated with antitumor and antiviral substances,.Artocarpus elasticus, known as Terap, belongs to the family of Moraceae
and grows in the tropical regions of Asia. Artocarpus plants comprise about
50 species, and their fruits are popular in the market. Their roots and leaves parts have
been used as a traditional medicine in Indonesia against inflammation, malarial fever,
hypertension, and diabetes. Most of
the pharmacological effects can be explained by the phenolic compounds, including
flavonoids, stilbenoid, and prenylated flavonoids. Individual metabolites in extracts showed
antibacterial, antitubercular, antiviral, cytotoxic, antioxidative, tyrosinase and 5-α
reductase inhibitory activities. Especially, alkylated flavonoids from A.
elasticus revealed significant cytotoxic effect against humancancer cell lines
and antioxidant activities.The purpose of this study was to isolate α-glucosidase inhibitory compounds from the barks
of A. elasticus, and the identification of their structures by using
spectrometric data. Their inhibitory capacities and kinetics were fully characterised by
double reciprocal plots, Yang’s method, and slow-binding experiments. Binding affinity
levels between inhibitors and enzyme were also confirmed by using fluorescence. The specific
binding sites of inhibitors on active site were elucidated by molecular docking
experiment.
Materials and methods
Instruments and chemicals
1H and 13 C NMR spectra were recorded on a Bruker AM500
spectrometer (Bruker, Karlsruhe, Germany). Melting points were measured on a Thomas
Scientific Capillary Melting Point Apparatus. MS and HR-MS were obtained on a JEOL JMS-700
mass spectrometer (JEOL, Tokyo, Japan). IR spectra were recorded on Varian 640-IR (Varian,
Inc., USA). Optical rotation was measured on a Perkin-Elmer 343 polarimeter (Perkin-Elmer,
Bridgeport, USA). Recycled HPLC and MPLC were conducted on Forte/R 100 (YMC Co., Ltd.,
Kyoto, Japan) using Triart C18 (S-5 µm, 12 nm and S-10 µm, 12 nm, YMC, Japan). Analytical
grade methanol, acetonitrile, and acetic acid for HPLC were purchased from Fisher (Fisher
Scientific Korea Ltd.). UV spectra and enzymatic assays were carried out on a SpectraMax
M3 Multi-Mode Microplate Reader (Molecular device, USA). α-Glucosidase (EC3.2.1.20) was
purchased from Sigma Aldrich St. Louis, USA. All chemicals were of analytical grade.
Plant material
The barks of A. elasticus were collected by associated professor Dr.
Mohd Azlan Nafiah on December 2013 from Malaysia. A Voucher specimen (TM1016) was
deposited in the Universiti Pendidikan Sultan Idris, Malaysia.
Extraction and isolation
The dried barks (250 g) of A. elasticus were extracted using methanol
(10 L) at room temperature to give the crude extract (27 g). The crude extract was
suspended in water and successively fractionated into chloroform to afford a dark residue
(14 g). The chloroform fraction was subjected to column chromatography on MCI GEL CHP20P
(300 mm × 50.0 mm, 75–150 μm, 500 g) and eluted with gradient flow of water/methanol (8:2
to 0:1, v/v) to give 15 fractions (A1-15, each 1000 mL). Fractions A9-12 (4.6 g) were
fractionated via MPLC (250 mm × 30.0 mm, S-10 μm, 12 nm, YMC) eluting with a gradual
increase of MeOH (0–100%) in H2O to afford 80 subfractions (B1-80). The above
MPLC process was repeated 0.5 g each time. The subfractions B26-35 (1.8 g) enriched with
compounds (1, 2, and 6) were further
chromatographed over recycle HPLC (250 mm × 30.0 mm, S-5 μm, 12 nm, YMC) to give compounds
1 (28 mg), 2 (19 mg), and 6 (24 mg). Similarly,
the subfractions B36-43 (1.4 g) were carried out to recycle HPLC to afford compounds
3 (15 mg), 4 (21 mg), and 5 (18 mg).
α-Glucosidase inhibitory activity assay and its kinetics
The inhibitory activity of α-glucosidase (EC3.2.1.20) was carried out with a few changes
from literature reported method, using p-nitrophenyl-α-D-glucopyranoside
at optimal pH of 6.8 (50 mM phosphate buffer). Inhibitors were dissolved and diluted to a needed concentration
in DMSO. Concisely, in 96-well plates to 10 μL of inhibitor or deoxynojirimycin (DNJ) as a
control and 40 μL substrate (p-NPG, 1.0 mM) in the aforesaid buffer
(130 μL) were added 20 μL of the enzyme (0.1 unit/mL). The absorbance of formed
p-nitrophenol immediately measured with a wavelength of 405 nm at
37 °C. Compound activity was expressed in the concentration when 50% of enzyme activity
was inhibited (IC50). Calculation of the % of inhibition was as follows:Similarly, the enzyme kinetic modes were clarified using a different
p-nitrophenyl-α-D-glucopyranoside substrate (0, 0.5, 1, and 2 mM) and
inhibitors concentrations. Analysis of the data used to determine the individual
parameters of curves was prepared in the nonlinear regression program Sigma Plot (SPCC
Inc., Chicago, IL, USA). The kinetic parameters, Michaelis–Menten
(Km) and maximum velocity
(Vmax), were found using Lineweaver–Burk plots. The
dissociation constants between inhibitor and enzyme (Ki) were
found from Dixon plots. Two inhibition constants for inhibitor binding with either free or
enzyme-substrate complex, KI or
KIS, were calculated from secondary plots of the slopes of
the straight lines or vertical intercept (1/),
respectively, verse the concentration of inhibitors by Equations (2)–(4). Kik and
Kiv rate constants were calculated according to Equations (5) and (6) proposed by Yang et al.:
Progress curves and time-dependent assay
Time-dependent assays of inhibitors at the different preincubation time (0, 15, 30, 45,
60 and 80 min) were accomplished using 0.05 unit/mL final concentration of α-glucosidase
and p-nitrophenyl-α-D-glucopyranoside substrate (1 mM) in 50 mM phosphate
buffer (pH 6.8) at 37 °C. The
progress curves were monitored every 30 s for 30 min. Furthermore, to clearly understand
the time-dependent inhibition mode of α-glucosidase, inhibitors were assayed using
different concentrations. Accordingly, the progress curves were calculated using Equations (7)–(11).
Analysis of the data was prepared by the nonlinear regression program Sigma Plot (SPCC
Inc., Chicago, IL, USA):
where [P] is the concentration of product formed and [E] is
the total enzyme concentration.
Binding affinity measurement
180 µL of 50 mM phosphate buffer (pH 6.8) with 10 µL of 0.2 unit/mL α-glucosidase were
added into the 96-well black immuno-plates then 10 µL different concentrations (2–32 µM)
of inhibitor were added.
Fluorescent emission spectra were recorded from 300 to 400 nm, emission slits adjusted to
2.0 nm, and the excitation was 250 nm, using spectrophotometer (SpectraMax M3). There was
no significant emission from any ingredient in the assay system under given experimental
conditions (i.e. emission from 300 to 400 nm). A level of affinity was expressed with
KSV, which was analysed using the Stern–Volmer equation:
where F0 and F are the fluorescence
intensities in the absence and presence of a quencher. Qf is a concentration of
compounds.
Molecular docking calculation
To predict the binding conformation of competitive inhibitors to Saccharomyces
cerevisiae α-glucosidase, molecular docking studies were performed by GOLD
Suite 5.2.2 (the Cambridge Crystallographic Data Centre, UK). The three dimensional (3D)
structure of Saccharomyces cerevisiae α-glucosidase had been built in the
previous study. The 3D structures
of compounds were prepared using the sketching tool and their geometries were optimised by
Minimisation protocol in Discovery Studio (DS) 2018 (BIOVIA, San Diego, CA, USA). The
smart minimiser algorithm was applied with CHARMm force field. The environment of the
system was set an implicit solvent using Born molecular volume (GBMV). A docking site was
defined within 20 Å from the centre of the mass on M69, H111, F157, R213, D214, and R312,
which are conserved residues in the active site. Each compound was docked 100 times using
the genetic algorithms (GA) with the default parameters. The best binding conformation for each compound was selected
based on the GOLD fitness score from the most populated cluster in each compound.
Statistical analysis
All experiments were made at least thrice and analysed using Sigma Plot version 10.0. A
value of p < 0.05 was considered to be a significant difference.
Results and discussion
Isolation of α-glucosidase inhibitors
First, from the methanol extract of A. elasticus barks, we purified six
compounds (1–6) displaying α-glucosidase inhibition. As shown in
Figure 1, compounds
(2–4, and 6) were identified as artobiloxanthone
(2), artoindonesianin P (3), cycloartobiloxanthone
(4), and artonin E (6) by our spectroscopic data (see
Supplementary Material), compared with the previously reported,. Compounds 1 and 5 emerged
to be new compounds named as artoindonesianin W (1) and artoflavone B
(5).
Figure 1.
Chemical structures of compounds 1–6 from the barks of
Artocarpus elasticus.
Chemical structures of compounds 1–6 from the barks of
Artocarpus elasticus.Compound 1 having molecular formula
C21H18O9 with 13 degrees of unsaturation was
established on basis of HRFABMS data [M + H]+ (m/z 383.1149,
calcd 383.1053). The extra 4 degrees of unsaturation after counting double bonds were
deduced from the tetracyclic skeleton of compound 1. The hydrogen bonding
hydroxyl group (C5-OH, δH 13.21) and α, β-unsaturated carbonyl
(δC 181.1) were consistent with a feature of a flavone
structure. 1H and 13 C NMR data in conjunction with DEPT experiments
indicated the presence of 21 carbon atoms, consisting of the following functional groups:
1 methylene (sp2), 1 methylene (sp3), 1 methine (sp3), 3
methines (sp2), 2 methyls and 13 quaternary carbons. Allylic coupling between
H6 (δH 6.29, d) and H8 (δH 6.65,
d) confirmed meta substituents of ring A. The C7-OCH3 was proved by a strong
HMBC of OCH3 (δH 3.89) with C7
(δH 166.1). The ring B with five substituents was deduced by
HMBC of H3' (δH 6.50, s) with C2'
(δC 151.4) and C4' (δC 151.2).
The presence of ring D with propenyl group was deduced from proton coupling networks
across H9a/b/H10/H12/H13 in the COSY spectrum. The propenyl moiety was
confirmed by a strong HMBC of exo-methylene H13a/b and C12-CH3
(δC 22.0). The location of propenyl moiety on C10 was
confirmed by HMBC of H10 (δH 3.99) and C11
(δC 145.4) (Figures S3–S6 in
Supplementary Material and Table S1 in
Supplementary Material). Thus, compound 1 was determined to be
1,3,4,8-tetrahydroxy-10-methoxy-5-(prop-1-en-2-yl)-5,6-dihydro-benzo[c]xanthen-7-one,
named as artoindonesianin W.Compound 5 had the molecular formula
C30H32O7 made on basis of HRFABMS data with
[M + H]+ ion at 505.2216 (calcd 505.2148). It has a feature of the flavone
skeleton with hydrogen bonding C5-OH (δH 13.2) and α,
β-unsaturated carbonyl (δC 183.0). The ring A having five
substituents was confirmed a singlet H6 (δH 6.15, s) which has
HMBC correlation with C5 (δC 162.9) and C7
(δC 160.4). Two singlet protons of H3'
(δH 6.59) and H6' (δH 6.88)
showed four substituents of ring B. The positions of H3' and H6' were confirmed by HMBC
correlation of H3' with C2' (δC 149.7) and C4'
(δC 149.8), and H6' with C1' (δC
111.5) and C5' (δC 139.1). The prenyl group was confirmed by a
typical coupling network across H9/H10/H12/H13 in the COSY spectrum. The position of a
group was confirmed by HMBC of H9 (δH 3.14) with C3
(δC 121.7), and carbonyl C4 (δC
183.0). The presence of pyran moiety was deduced from proton coupling of H14
(δH 5.61, d) with H14a (δH 5.61,
d) and HMBC between H14a and oxygenated carbon C15 (δC 81.4).
The proton coupling network across H17/H18/H19/H21/H22 indicated the presence of the
2-methyl-2-pentenyl group. The locations of 2-methyl-2-pentenyl and methyl groups were
confirmed by HMBC correlations of both H16 (δH 1.42) and H17
(δH 1.69) with C15 (Figures S10–S13 in
Supplementary Material and Table S1 in
Supplementary Material). Thus compound 5 was determined to be
(-)-2-(2,4,5-trihydroxyphenyl)-3-(3-methyl-2-buten-1-yl)-5-hydroxy-8-methyl-8-(4-methyl-3-penten-1-yl)-4H,8H-benzo[1,2-b:3,4-b']dipyran-4-one,
named as artoflavone B.
α-Glucosidase inhibition
The known flavonoids (2–4 and 6) are reported as
effective antioxidant and anticancer,. This study tried to find out a new biological function of the
isolated compounds (1–6) based on α-glucosidase inhibition.
α-Glucosidase inhibitory activity was screened at different concentrations using the
modified UV assay. All six
compounds (1–6) showed a significant inhibition towards
α-glucosidase with IC50s ranging between 7.6 and 25.4 μM (Table 1). The inhibitory potencies varied with the
modification of ring B. Dihydrobenzoxanthones (1–4) were formed
by cyclisation of isoprenyl group on C-3 with the C-6′ at ring B of prenylated flavone.
Dihydrobenzoxanthone 2 (IC50 = 8.6 μM) is twice more effective
than its mother compound 6 (IC50 = 16.2 μM). Both
dihydrobenzoxanthone 2 and furanodihydrobenzoxanthone 4
(IC50 = 9.6 μM) showed similar inhibitory potential.
Table 1.
Inhibitory effects of compounds 1–6 on α-glucosidase.
Compounds
α-Glucosidase
IC50 (μM)a
Kinetic mode
(Ki, μM)b
KI
(μM)
KIS
(μM)
1
7.6 ± 0.2
Competitive (2.9 ± 0.4)
NTc
NT
2
8.6 ± 0.5
Competitive (5.1 ± 0.3)
NT
NT
3
25.4 ± 0.7
Competitive (12.6 ± 0.7)
NT
NT
4
9.6 ± 0.6
Competitive (5.8 ± 0.4)
NT
NT
5
8.8 ± 0.3
Mixed type I (5.4 ± 0.7)
5.4
20.4
6
16.2 ± 0.8
Mixed type I (15.8 ± 0.9)
15.4
51.7
DNJd
42.5 ± 0.9
NT
NT
NT
Sample concentration which led to 50% enzyme activity loss.
Ki is the inhibition constant.
NT is not tested.
Deoxynojirimycin (DNJ) is used as a positive control.
Inhibitory effects of compounds 1–6 on α-glucosidase.Sample concentration which led to 50% enzyme activity loss.Ki is the inhibition constant.NT is not tested.Deoxynojirimycin (DNJ) is used as a positive control.To investigate the inhibition mechanism, we conducted various kinds of evaluations such
as dose-dependence, reversibility, Lineweaver–Burk plots, Dixon plots, Yang’s method and
the time dependence of inhibition of α-glucosidase by inhibitors (Figures 2, 3 and 4). All tested compounds showed dose-dependence
inhibition of an enzyme (Figure 4(A)). They all
successively demonstrated the relationship between enzyme activity and concentrations. The
α-glucosidase inhibition by representative inhibitor 1 (IC50 =
7.6 μM) demonstrated in Figure 4(B), which was
obtained by the plotting of remaining enzyme activity vs. the concentration of enzyme at
different inhibitor concentrations. Increasing of the inhibitor 1
concentrations provided a reduction of the slopes of lines. An indication of compound
1 as a reversible inhibitor was concluded from that the family of straight
lines was passed through the origin.
Figure 2.
(A) Lineweaver–Burk and (B) Dixon plots for the inhibition of compound 1
on the α-glucosidase activity. (C) Slow-binding inhibition at different preincubation
time (◇: 0; ◆: 5; □: 10; ■: 15; △: 30; ▼: 45; ○: 60; ●: 75 min) for compound
1 at 4 μM. (D) Inhibition as a function of preincubation time for
compound 1. (E) Time course of the inactivation of α-glucosidase compound
1. (F) kobs on dependence on different
concentrations of compound 1.
Figure 3.
Lineweaver–Burk plots for α-glucosidase (A) compound 2, (B) compound
3, (C) compound 4, (D) compound 5, and (E)
compound 6. Insets represent the secondary plots of the slope and
intercept of the straight lines vs. concentrations of compounds.
Figure 4.
(A) Dose-dependent effect of compound 1 on α-glucosidase inhibition. (B)
The catalytic activity of α-glucosidase as a function of enzyme concentration at
different concentrations of compound 1.
(A) Lineweaver–Burk and (B) Dixon plots for the inhibition of compound 1
on the α-glucosidase activity. (C) Slow-binding inhibition at different preincubation
time (◇: 0; ◆: 5; □: 10; ■: 15; △: 30; ▼: 45; ○: 60; ●: 75 min) for compound
1 at 4 μM. (D) Inhibition as a function of preincubation time for
compound 1. (E) Time course of the inactivation of α-glucosidase compound
1. (F) kobs on dependence on different
concentrations of compound 1.Lineweaver–Burk plots for α-glucosidase (A) compound 2, (B) compound
3, (C) compound 4, (D) compound 5, and (E)
compound 6. Insets represent the secondary plots of the slope and
intercept of the straight lines vs. concentrations of compounds.(A) Dose-dependent effect of compound 1 on α-glucosidase inhibition. (B)
The catalytic activity of α-glucosidase as a function of enzyme concentration at
different concentrations of compound 1.First of all, dihydrobenzoxanthones (1–4) showed competitive
inhibition behaviour. Competitive inhibitors of α-glucosidase have rarely been reported
from natural phenolic compounds and structural features have not been systematically
investigated. A detailed kinetic analysis of the inhibition was modelled using double
reciprocal plots. This analysis estimated no change of Vmax
and the increase of Km as expected to competitive inhibition.
It can be seen directly from Figures 2(A) and
4(A–C), families of 1/V vs.
1/[S] regression line have the common intercept on the y-axis. To further confirmation of
competitive inhibition mode, the results were applied to Yang’s method. The new kinetic parameter
Kik can be fit to Equation (5), while Kiv can be fit to Equation (6), from plotting
Km and Vmax against inhibitor
concentrations. The Kik/Kiv ratios
were calculated between 29.8 and 55.8 as expected for competitive inhibition behaviour
(Table 2 and Table S2 in
Supplementary Material).
Table 2.
Determination of Kik/Kiv
ratios by α-glucosidase enzyme inhibitory behaviours.
Compounds
[I] (μM)
Vmax
Km
Kik/Kiv
1
0
6.17
250.44
–
4.0
6.30
558.66
55.80
8.0
6.50
915.24
48.88
16.0
7.55
1929.38
29.79
5
0
6.20
182.35
–
7.5
4.74
344.65
3.79
15.0
3.67
418.39
3.18
30.0
2.79
508.39
3.25
Determination of Kik/Kiv
ratios by α-glucosidase enzyme inhibitory behaviours.Inhibitor 1 displayed to be a slow-binding inhibitor because the residual
activity of the enzyme was decreased as a function of preincubation time (Figure 2(C)). The time dependence of the hydrolysis
rate by α-glucosidase was evaluated by measuring of the enzyme residual activity at
different concentrations of inhibitor 1 (0, 5, 10, 20, and 40 μM) over
different time points. The results were fitted to (7) and (8) to determine
kobs.
Figure 2(F) represents the relationship between
kobs and [I] to determine the kinetic profile of inhibitor
1 (simple reversible slow-binding enzyme isomerisation or mechanism-based
inhibition). The data for inhibitor 1 were fit to the slow binding Equation (7) illustrating no deviation from
linearity of kobs on the concentration of α-glucosidase. This
mechanism can be shaped to the simple reversible slow-binding model. By fitting Equations (10) and (11) we established the parameters of
k3 = 0.0437 µM−1 min−1,
k4 = 0.0166 min−1, and =
0.3795 µM for inhibitor 1.As shown in Figure 3(D), the common intercept of
Lineweaver–Burk plots was on the left of the vertical axis and above the horizontal axis
determined the type of inhibition for inhibitor 5 as mixed. Mixed type
inhibitor may have different affinity for the substrate bound (mixed type I) and free
enzyme (mixed type II). The results of compound 5 were applied to Equations (3) and (4) to calculate
KI and KIS from secondary plots
of Km/Vmax and
1/Vmax vs. concentration of compound 5. The
compound 5 was found to be mixed type I (KI =
5.4 μM < KIS =20.4 μM). The Ki
value of compound 5 was determined to be 5.4 μM by Dixon plots (Figure
S27 in Supplementary
Material).
Binding affinities between α-glucosidase and compounds
α-Glucosidase has many fluorophore residues of 20 Trp, 26 Tyr, and 41 Phe (Figure
S29 in Supplementary
Material), of which the intrinsic fluorescence might be changed by the
function of inhibitor affinity.
Thus, α-glucosidase is proper enzyme to be estimated the affinity with inhibitor by using
the change of fluorescence intensity called as fluorescence quenching. This study tried to
measure enzyme affinity of inhibitors by fluorescence quenching method. Figure 5(A–C) is fluorescence spectra of compounds
1, 6, and 3 (see Figure S28 in
Supplementary Material for compounds 2, 4,
5). The dose-dependent lowering of the fluorescence intensity was observed
on the increase of the concentrations of inhibitors. Importantly, the decreasing tendency
of fluorescence quenching was highly correlated with inhibitory potencies
(IC50) (Figure 5(D)). For example, the
inhibitory potencies (1 > 6 > 3) could be
ranked in order of affinity levels (KSV) of inhibitors as
follows: 1
(KSV = 1.84 × 105Lmol−1) > 6
(KSV = 0.93 × 105Lmol−1) >
3 (KSV =
0.51 × 105Lmol−1), as presented in Table 3.
Figure 5.
The fluorescence spectra (A–C) of α-glucosidase at different concentrations (0, 2, 4,
8, 16, and 32 μM for curves a→f, pH 6.8, T = 37 °C), (A) For compound
1, (B) For compound 6, (C) For compound 3.
(D) The correlation between inhibitory potencies (IC50s) and
Stern–Volmer constant (KSV).
Table 3.
Fluorescence quenching effect of compounds 1–6 on
α-glucosidase.
Compounds
α-Glucosidase
KSV
(×105 L·mol–1)
Ra
KA
(×106 L·mol–1)
n
Rb
1
1.84
1.00
0.79
1.18
0.99
2
1.53
0.98
0.76
1.10
0.99
3
0.51
1.00
0.57
0.81
1.00
4
1.29
1.00
0.79
1.02
0.98
5
1.63
1.00
0.81
1.24
0.99
6
0.93
0.97
0.78
1.02
0.98
R is the correlation coefficient for the
KSV values.
R is the correlation coefficient for the
KA values.
The fluorescence spectra (A–C) of α-glucosidase at different concentrations (0, 2, 4,
8, 16, and 32 μM for curves a→f, pH 6.8, T = 37 °C), (A) For compound
1, (B) For compound 6, (C) For compound 3.
(D) The correlation between inhibitory potencies (IC50s) and
Stern–Volmer constant (KSV).Fluorescence quenching effect of compounds 1–6 on
α-glucosidase.R is the correlation coefficient for the
KSV values.R is the correlation coefficient for the
KA values.In order to predict the proper binding conformations of the compounds
1–4, molecular docking calculations were performed into the
Saccharomyces cerevisiae α-glucosidase (Figure 6(A and B)). The docking results revealed that all compounds
have similar binding conformations (Figure
6(C,D)). The B and D rings of all compounds interacted the D214 and E276 known as
key residues of α-glucosidase,, while A, C, and E rings interacted with the residues which were
relatively more exposed to solvent than other residues in the binding pocket (Figure 6(D)). The B rings of compounds 1
and 2 were found to interact with D214 and D349 by π-anion interactions, as
well as with M69, Y71, S438, R439, Y344, and H348 by van der Waals (vdW) interactions
(Figure 7(A,B)). Two hydroxyl groups of the B
ring formed strong bidentate hydrogen bonds with the side chains of R212 and E276. On the
other hand, in compounds 3 and 4, these interactions were
observed by a hydroxyl and an ether groups (Figure
7(C,D)). The D rings of all compounds contacted with the side chain of Y71 and
F157 by π–alkyl interactions, as well as vdW interactions with M69, D214, D349, and R439.
In the case of compounds 1 and 2, an isobutylene group formed
π–alkyl interactions with F177. The A and C rings of all compounds were stabilised by π–π
interactions with the phenyl group of F157. These rings were found to interact with R312
by π–cation and π–alkyl interactions. The hydroxyl group of the A ring formed hydrogen
bond with D408. Moreover, it also found the vdW interactions, which were observed between
the methoxy group of the A ring and F157, F158, and Y313. E rings of compounds
2 and 4 involved π–alkyl interactions with the side chain of
R312 as shown in Figure 7(B,D). The dimethyl group
of E ring also interacted with R312 by π–alkyl interactions and vdW interactions were
found with Y313 and D408.
Figure 6.
Structural information for dock conformation of competitive inhibitors to the
Saccharomyces cerevisiae α-glucosidase. (A) The homology model
structure of the Saccharomyces cerevisiae α-glucosidase. The active
site is shown as the yellow region and key residues of the active site represented by
yellow stick models. (B) Chemical structures of compounds
1–4. (C and D) The superposition of docked conformations
with compounds 1–4 in the active site. Compounds
1–4 are represented as cyan, blue, green, and purple stick
models, respectively.
Figure 7.
Comparison of binding conformation between each compound. (A–D) Compounds
1–4 are shown as cyan, blue, green, and purple thick stick
models, respectively. Key residues in the active site are represented by yellow stick
models. Hydrogen bond, π–π, π–σ, and π–cation (anion) interactions are shown as light
green, hot pink, pink, and orange dashed lines, respectively.
Structural information for dock conformation of competitive inhibitors to the
Saccharomyces cerevisiae α-glucosidase. (A) The homology model
structure of the Saccharomyces cerevisiae α-glucosidase. The active
site is shown as the yellow region and key residues of the active site represented by
yellow stick models. (B) Chemical structures of compounds
1–4. (C and D) The superposition of docked conformations
with compounds 1–4 in the active site. Compounds
1–4 are represented as cyan, blue, green, and purple stick
models, respectively.Comparison of binding conformation between each compound. (A–D) Compounds
1–4 are shown as cyan, blue, green, and purple thick stick
models, respectively. Key residues in the active site are represented by yellow stick
models. Hydrogen bond, π–π, π–σ, and π–cation (anion) interactions are shown as light
green, hot pink, pink, and orange dashed lines, respectively.Consequently, the binding of all compounds seems to be stabilised by π–π interactions
with F157 and π–alkyl interactions with R312. It is consistent with the fact that
hydrophobic interactions, including π–π and π–alkyl interactions, between inhibitors and
α-glucosidase, might play a significant role in inhibitory activities,. However, structural analysis of compound 3
indicated that the interactions with F157 and R312 are insufficient compared to other
compounds because it had a hydroxyl group in the A ring. On the contrary, compound
1 had a methoxy group in the A ring. In particular, compounds
2 and 4 contained additionally dimethyl groups in the E ring.
These functional groups increase the hydrophobicity of the compounds, thereby enhancing
hydrophobic interactions with F157 and R312. In these structural differences, compound
3 would lead to having a lower inhibitory activity than other compounds.
Our molecular docking results of compounds 1–4 into the
Saccharomyces cerevisiae α-glucosidase will provide structural insights
into the development of novel competitive inhibitors.
Conclusions
The six α-glucosidase inhibitors (1–6), including two new
compounds, were isolated from the barks of A. elasticus. All isolated
compounds showed a significant inhibition with IC50s of 7.6–25.4 μM. A full set
of kinetic study has been completed for dihydrobenzoxanthones
(1–4) to be competitive and reversible simple slow-binding
inhibitors. Competitive inhibition of α-glucosidase has rarely been reported from natural
phenolic compounds. Binding affinities and specific binding sites were also confirmed by
fluorescence quenching and molecular modelling study. Molecular modelling study showed that
all inhibitors have sufficient hydrophobic interaction with F157 and R312 in the active
site. These results led a dihydrobenzoxanthone to be a lead skeleton of a competitive
inhibitor toward α-glucosidase.
Authors: Mariane Daou; Nancy A Elnaker; Michael A Ochsenkühn; Shady A Amin; Ahmed F Yousef; Lina F Yousef Journal: PLoS One Date: 2022-03-14 Impact factor: 3.240