Natalia Mast1, Peter Verwilst2, Clayton J Wilkey3, F Peter Guengerich3, Irina A Pikuleva1. 1. Department of Ophthalmology and Visual Sciences, Case Western Reserve University, Cleveland, Ohio 44106, United States. 2. Department of Chemistry, Korea University, Seoul 02841, Korea. 3. Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, United States.
Abstract
Cytochrome P450 46A1 (CYP46A1) is a central nervous system-specific enzyme, which catalyzes cholesterol 24-hydroxylation. Currently CYP46A1 is being evaluated in a clinical trial for activation by small doses of the anti-HIV drug efavirenz. Eight efavirenz-related compounds were investigated for CYP46A1 activation in vitro, induction of a CYP46A1 spectral response, spectral Kd values, interaction with the P450 allosteric sites, and a model of binding to the enzyme active site. We gained insight into structure-activity relationships of efavirenz for CYP46A1 activation and found that the investigated efavirenz primary metabolites are stronger and better activators of CYP46A1 than efavirenz. We also established that CYP46A1 is activated by racemates and that a conformational-selection mechanism is operative in CYP46A1. The results suggest structural modifications of efavirenz to further increase CYP46A1 activation without inhibition at high compound concentrations. It is possible that not only efavirenz but its metabolites activate CYP46A1 in vivo.
Cytochrome P450 46A1 (CYP46A1) is a central nervous system-specific enzyme, which catalyzes cholesterol 24-hydroxylation. Currently CYP46A1 is being evaluated in a clinical trial for activation by small doses of the anti-HIV drug efavirenz. Eight efavirenz-related compounds were investigated for CYP46A1 activation in vitro, induction of a CYP46A1 spectral response, spectral Kd values, interaction with the P450 allosteric sites, and a model of binding to the enzyme active site. We gained insight into structure-activity relationships of efavirenz for CYP46A1 activation and found that the investigated efavirenz primary metabolites are stronger and better activators of CYP46A1 than efavirenz. We also established that CYP46A1 is activated by racemates and that a conformational-selection mechanism is operative in CYP46A1. The results suggest structural modifications of efavirenz to further increase CYP46A1 activation without inhibition at high compound concentrations. It is possible that not only efavirenz but its metabolites activate CYP46A1 in vivo.
CYP46A1 is an endoplasmic reticulum cytochrome
P450 enzyme, which is expressed in the central nervous system, normally
in the soma and dendrites of multiple neuron types.[2−4] CYP46A1 converts
cholesterol to 24-hydroxycholesterol (24HC), an oxysterol that rapidly
diffuses across the blood–brain barrier to the systemic circulation
and is delivered to the liver for further degradation to bile acids.[2,5,6] Initially CYP46A1 was recognized
for its key roles in brain cholesterol elimination and turnover.[2,7,8] CYP46A1 was later discovered to
be linked to other brain processes including memory and learning.[9−12] CYP46A1 is now a focus for intensive investigations as a potential
target for treatment of different brain disorders with both enzyme
inhibition and activation having therapeutic potential.[13] Animal studies suggest that increased CYP46A1
activity can ameliorate the manifestations of Alzheimer’s and
Huntington’s diseases.[14−18] Conversely, a decreased CYP46A1 activity is hypothesized to reduce
seizure frequency and is now being tested in two clinical trials in
subjects with Dravet, Lennox-Gastaut, and Duplication 15q syndromes
as well as CDKL5 deficiency disorder.[12,13] In addition
to the brain, CYP46A1 is of importance for the retina and retinal
blood vessels.[19]This laboratory
discovered that CYP46A1 could be activated pharmacologically in mice
by (S)-efavirenz (EFV), an anti-HIV drug.[20−22] Remarkably, the CYP46A1 activating EFV dose was very low (0.1 (mg/day)/kg
body weight), at least 80 times lower than that (600 mg/day) given
to HIV-positive individuals to keep their viral load low. When administered
orally to normal (C57BL/6J) mice or a model of Alzheimer’s
disease (5XFAD mice), this low EFV dose not only activated CYP46A1
in the brain but also elicited a compensatory increase in cholesterol
biosynthesis and hence turnover.[20−22] As a result, the steady-state
levels of cholesterol in the brain remained unchanged in C57BL/6J
mice and were normalized in 5XFAD mice. In the latter, EFV treatment
also led to behavioral improvements with the effect on the total brain
amyloid β load being the treatment paradigm-specific.[21,22] However, when the EFV dose was increased to 0.22 (mg/day)/kg body
weight, CYP46A1 activation was no longer observed and the higher 0.32
(mg/da)/kg body dose even inhibited the enzyme.[20] Thus, the therapeutic window for CYP46A1 activation by
EFV in mice appears to be quite narrow.In vitro studies utilizing
purified recombinant CYP46A1 revealed that the concentration dependence
curves of EFV for the CYP46A1-mediated cholesterol 24-hydroxylation
were bell-shaped with the enzyme activation at low compound concentrations
and inhibition at high concentartions.[20] Subsequent mechanistic investigations suggested an allosteric site
for EFV on CYP46A1,[20] which was then mapped
experimentally to the cytosolic (proximal) surface of the P450 molecule.[23] This site was close to the redox partner binding
site but away from the CYP46A1 active site, a banana-shaped tunnel
extending from the lipid-embedded distal CYP46A1 surface to the interior
of the protein molecule.[24] We proposed
that at low concentrations EFV binds to the allosteric site and activates
CYP46A1, whereas at high concentrations the drug likely binds to both
the allosteric and active sites and inhibits CYP46A1 because of the
competition with cholesterol for the active site.[20] EFV was also found to increase the rate of the fast CYP46A1
reduction and the total amount of reduced P450.[1] Furthermore, the analysis of the CYP46A1 crystal structure[24] suggested that EFV could displace the water
molecule in the allosteric site and thereby alter the hydrogen bond
network that connects the allosteric and active sites and determines
in part the hydration of the active site.[23]Currently, we are involved in an ongoing clinical trial of
EFV in patients with mild cognitive impairment due to Alzheimer’s
disease (NCT03706885, ClinicalTrials.gov), which tests the 50 and
200 mg/day EFV doses. In parallel, we have a goal of generating a
compound with a broader therapeutic window for CYP46A1 activation
than EFV and preferably more potent to lower a possibility of CYP46A1
inhibition and hence side effects while perhaps enhancing the potentially
beneficial drug effects. Therefore we initiated the current study
to gain insights into the role of some of the EFV functionalities.
We tested two types of EFV-related compounds for the effects on purified
CYP46A1 in vitro: some of the primary EFV metabolites produced during
hepatic drug clearance[4,25−28] and EFV analogs with changes
in the oxazinone and cyclopropyl rings.
Results
CYP46A1 Activation by (S)-EFV and Related Compounds
In mammals, (S)-EFV is mainly oxidized to (S)-8-hydroxyEFV (1), with the metabolism to
(S)-7-hydroxyEFV (2) occurring to a
lesser extent (Figure a). Both of these metabolites can be further hydroxylated to yield
(S)-8,14-dihydroxyEFV (3) and (S)-7,8-dihydroxyEFV (4).[4,25−28] (S)-EFV also has secondary metabolites produced
as a result of glucuronidation and/or sulfation of the EFV oxidation
products.[25,29] Of the primary EFV metabolites, only (S)-1 is commercially available along with racemic
(rac)-1, rac-2, and rac-3. Hence, all these
compounds were tested in the enzyme assay using purified recombinant
CYP46A1. Similar to CYP46A1 activation by (S)-EFV,
the concentration dependence curves for (S)-1, rac-1, and rac-2 were bell-shaped, whereas that for rac-3 was essentially hyperbolic (Figure b). All of the tested metabolites had a maximal
CYP46A1 activation higher than that with (S)-EFV
(5.8-6.2-fold vs 4.1-fold, Table ), which was observed at the same 20 μM metabolite
concentration. (S)-1 and rac-1 had almost identical concentration dependence curves
and along with rac-2 did not inhibit
CYP46A1 at the 60–100 μM concentrations that were inhibitory
for (S)-EFV. Thus, EFV hydroxylations at C-7, -8,
and -14 render the drug properties that we sought when the study was
initiated, namely, an increase in CYP46A1 activation at lower metabolite
concentrations and a decrease in enzyme inhibition at higher compound
concentrations. We then evaluated commercially available EFV analogs
(Figure c): rac-5, which has a C atom instead of N-1; (S)-6, lacking the keto group; rac-7, which has a methyl group instead of the keto group; rac-8, which has a C atom instead of O-3; rac-9, which has an ethyl group instead of
a cyclopropyl ring. All of these compounds, except rac-5, had bell-shaped concentration dependence curves,
and CYP46A1 activation was either similar (rac-8) or lower than that with (S)-EFV(rac-5, (S)-6, rac-7, and rac-9). P450 inhibition was decreased for all compounds at their higher
concentrations, and rac-5 as well as
(S)-6 did not inhibit the enzyme at
the concentrations tested. Thus, lack of O-3 (rac-8) did not significantly impair CYP46A1 activation
by the derivative but decreased CYP46A1 inhibition at higher compound
concentrations. Similarly, CYP46A1 inhibition was decreased by the
replacement or elimination of EFV functionalities at positions 1 (rac-5), 2 ((S)-6), and 14 (rac-9), but the enzyme activation
was less than that by (S)-EFV.
Figure 1
EFV metabolites and analogs.
(a, c) Chemical structures of EFV, its metabolites, and analogs studied
in the present work. Structural divergence from EFV is highlighted
in either red font or circles. EFV metabolism by the cytochrome P450
enzymes is also shown and taken with permission from ref (4). (b, d) Dependence of CYP46A1
activity in vitro on the concentration of (S)-EFV
or an EFV-related compound. CYP46A1 activity (the rate of cholesterol
24-hydroxylation) is presented as nanomoles of 24-hydroxycholesterol
(24HC) formed per nmole of CYP46A1 per min. The range of the tested
compound concentrations is based on our previous study,[20] in which 100 μM (S)-EFV
almost completely inhibited CYP46A1. The results are the mean ±
SD of the measurements from the three independent experiments.
Table 1
Summary of the CYP46A1 Responses to
the Studied EFV-Related Compounds
interacts via the allosteric site for
compd
substrate-free CYP46A1a
cholesterol-bound CYP46A1a
maximal activation (fold)
maximal activation
in the presence of l-Glu (fold)
EFV
Glu
(S)-EFV
type 2; H
reverse type 1; S
4.1
4.9
+
–
(S)-1
type 2; H
reverse type 1; S
6.2
7.4
+
+
rac-2
type
2; H
reverse type
1; S
5.8
6.8
+
+
rac-5
type 1; S
no spectral response
1.9
2.8
+
+
rac-3
type 2; H
reverse type 1; H
6.1
4.8
–
+
(S)-6
type 1; H
no spectral
response
2.5
abolished
–
+
rac-7
type 1; H
no spectral response
2.6
abolished
–
+
rac-8
type 1; H
reverse type 1; S
3.9
4.6
+
–
rac-9
type
I; H
reverse type
1; S
3.1
3.7
+
–
Presented is the spectral response
type and fit: H, hyperbolic fit; S, sigmoidal fit.
EFV metabolites and analogs.
(a, c) Chemical structures of EFV, its metabolites, and analogs studied
in the present work. Structural divergence from EFV is highlighted
in either red font or circles. EFV metabolism by the cytochrome P450
enzymes is also shown and taken with permission from ref (4). (b, d) Dependence of CYP46A1
activity in vitro on the concentration of (S)-EFV
or an EFV-related compound. CYP46A1 activity (the rate of cholesterol
24-hydroxylation) is presented as nanomoles of 24-hydroxycholesterol
(24HC) formed per nmole of CYP46A1 per min. The range of the tested
compound concentrations is based on our previous study,[20] in which 100 μM (S)-EFV
almost completely inhibited CYP46A1. The results are the mean ±
SD of the measurements from the three independent experiments.Presented is the spectral response
type and fit: H, hyperbolic fit; S, sigmoidal fit.
Spectral Responses in CYP46A1 Induced by (S)-EFV and Related Compounds
CYP46A1 is a hemoprotein and,
as with most P450s, has a water molecule coordinating its hemeiron
in the sixth axial position when in the resting, substrate-free state.[24] When this water molecule is displaced and the
hemeiron is left uncoordinated, the CYP46A1 difference spectrum has
a peak at ∼390 nm and a trough at ∼422 nm,[20] a so-called type I spectral response, elicited
in many cases by the P450 substrates.[30−32] However, when the hemeiron becomes coordinated with a nitrogen atom, a trough around ∼410
nm and a peak at ∼421–435 nm appear in the P450 difference
spectrum,[33] a so-called type 2 spectral
response, often produced by P450 inhibitors.[30−32] A third type
of the spectral response for the P450 enzymes has also been described,
reverse type I, which represents a mirror reflection of a type I difference
spectrum (a trough at 380–390 nm and peak at 415–420
nm).[32] This response is believed to reflect
the formation of an Fe–O bond, where the oxygen donor atom
is from either a water molecule or the added compound.[32,34] Previously we reported that titrations with (S)-EFV
induced a type 2 spectral response in substrate-free CYP46A1 (Figure ), which could be
fit (ΔA) to a hyperbolic curve.[20] These data suggested that in the absense of
cholesterol, EFV binds to the CYP46A1 active site and coordinates
the hemeiron with its N-1 atom. Similarly, type 2 spectral responses
that fit to a hyperbolic curve were observed in substrate-free CYP46A1
upon the addition of (S)-1, rac-1, rac-2,
and rac-3, an indication that the hydroxyl
groups at C-7, C-8, and C-8,14 do not prevent EFV derivatives from
binding to the CYP46A1 active site in an orientation that enables
the formation of the N–Fe coordinate bond (Figure ). Yet the apparent Kd values of the hydroxylated EFV metabolites
were 2–5 times higher than that of (S)-EFV,
suggesting that the affinity of these compounds for CYP46A1 was decreased
(Figure b). Conversely, rac-5, (S)-6, rac-7, rac-8,
and rac-9 elicited a type 1 spectral
response in substrate-free CYP46A1 consistent with absence of N-1
(rac-5) as well as the hydrogen bond-forming
functionalities ((S)-6, rac-7, rac-8) that may help
EFV bind in the CYP46A1 active site in the orientation suitable for
the ligation of the hemeiron. In addition, testing of rac-9 revealed the importance of the EFV cyclopropyl ring
for the drug coordination of the hemeiron. As with type 2 ligands,
the binding of type 1 ligands can be fit to a hyperbolic curve except
in the case of rac-5, whose curve was
sigmoidal and may underlie the sigmoidal-like curve in the concentration
dependence enzyme assay (Figure d).
Figure 2
Spectral responses induced in substrate-free CYP46A1 by
EFV-related compounds. Data for (S)-EFV are shown
in the center. ΔA is the amplitude of spectral
changes in the P450 difference spectra (insets). The results are presented
as the mean ± SD of the measurements in the three spectral titrations.
Spectral responses induced in substrate-free CYP46A1 by
EFV-related compounds. Data for (S)-EFV are shown
in the center. ΔA is the amplitude of spectral
changes in the P450 difference spectra (insets). The results are presented
as the mean ± SD of the measurements in the three spectral titrations.The allosteric response of CYP46A1 was only revealed
whenEFV was added to the P450 in the presence of the saturating (20
μM) cholesterol, i.e., substrate-bound enzyme.[20] The spectral titration curve became sigmoidal, and the
spectral response was of a reverse type 1 nature (Figure ). On the basis of this and
other data, we suggested EFV binding to an allosteric site and interpreted
this response as an altered hydration of the CYP46A1 active site with
the subsequent formation of the Fe–O coordinate bond.[20,23] Similarly, sigmoidal curves and a reverse type 1-like spectral response
were observed in CYP46A1 upon addition of (S)-1, rac-1, rac-2, rac-8, and rac-9, consistent with comparable (≤25%)
or higher CYP46A1 activation by these compounds at lower concentrations
and their bell-shape concentration dependence curves (Figure b,d). rac-3 also elicited a reverse type 1-like spectral response in
cholesterol-bound CYP46A1, but its spectral binding was of a hyperbolic
nature. Since this metabolite essentially did not inhibit CYP46A1
in the concentration dependence enzyme assay (Figure b), we suggest that this response could reflect
preferential EFV binding only to the allosteric site. Lastly, rac-5, (S)-6,
and rac-7 did not seem to elicit a quantifiable
spectral response in cholesterol-bound CYP46A1 while still activating
the P450 (Figure d),
although to a lower extent than EFV (up to 2.6-fold vs 4.1-fold).
These data suggest that compound interactions with the allosteric
site(s) could be spectrally silent and that this spectral silence
could be due to absence of the hydrogen-forming N-1 (rac-5) as well as the 2-keto group ((S)-6 and rac-7) in the
tested derivatives. CYP46A1 spectral titrations with different EFV-related
compounds are summarized in Table .
Figure 3
Spectral responses induced in cholesterol-bound CYP46A1
by EFV-related compounds. Data for (S)-EFV are shown
in the center. ΔA is the amplitude of spectral
changes in the P450 difference spectra (insets). The results are presented
as the mean ± SD of the measurements in the three spectral titrations.
Spectral responses induced in cholesterol-bound CYP46A1
by EFV-related compounds. Data for (S)-EFV are shown
in the center. ΔA is the amplitude of spectral
changes in the P450 difference spectra (insets). The results are presented
as the mean ± SD of the measurements in the three spectral titrations.
Mapping of the Allosteric Site(s) for Compound Binding
We first conducted in silico docking of the (S)-
and (R)-isomers of 3, the best CYP46A1
activator in vitro. Autodock, VINA, and Ledock were used, and none
of the docking programs could fit these isomers to the allosteric
site for (S)-EFV. The three programs did provide
a consensus model for (S)-3 and (R)-3 binding to the so-called glutamate (Glu)-binding
site, a region on the CYP46A1 proximal surface adjacent to the site
EFV-binding (Figure a–c).[1] Glu activates CYP46A1 in
vitro either alone or synergistically with (S)-EFV,[1] and we tested how CYP46A1 co-incubations with l-Glu and rac-3 or other compounds
affected the enzyme activity under the conditions of the maximal P450
activation (Figure d). l-Glu did not synergistically activate CYP46A1 in the
co-incubations with rac-3,(S)-6, or rac-7, with the P450 activation becoming either lower (rac-3) or even abolished ((S)-6 or rac-7) relative to the P450 activity in the presence of either activator.
Conversely, co-incubations with l-Glu and (S)-1, rac-2, rac-5, rac-8, or rac-9 synergistically activated CYP46A1 in
vitro. These data suggested that rac-3 and (S)-6 or rac-7 probably bind mainly to the allosteric site for Glu
and compete with the neurotransmitter for this site, consistent with
the computational predictions for (S)-3 and (R)-3. In contrast, other EFV-related
compounds likely bind to both EFV- and Glu-binding sites. Accordingly
we then tested co-incubations of (S)-EFV with rac-3,(S)-6, or rac-7 and found
a synergistic CYP46A1 activation (Figure d). Thus we obtained support for the interaction
of rac-3,(S)-6, and rac-7 mainly with the allosteric site for Glu.
Figure 4
Mapping of the CYP46A1
allosteric site for rac-3. (a–c)
Computational models of (S)-EFV (black), l-Glu (yellow), (S)-3 (dark green),
and (R)-3 (light green) binding to the
CYP46A1 surface. Docking experiments were carried out on PDB code 2Q9G. Models for (S)-EFV and l-Glu are taken from ref (1), and those for (S)-3 and (R)-3 were generated in the present work. The heme group is in red. The
nitrogen, oxygen, chlorine, and fluorine atoms are in blue, red, light
green, and cyan, respectively. (d) Effect of l-Glu (100 μM),
(S)-EFV (20 μM), or EFV analog (20 μM)
on the maximal extent of CYP46A1 activation. CYP46A1 activity is presented
as nanomoles of 24-hydroxycholesterol (24HC) formed per nmole of CYP46A1
per min. Control incubations with no activator, l-Glu only,
and (S)-EFV only are shown as a white, yellow, and
black bar, respectively. Incubations with an EFV-related compound
only are shown as solid colored bars, and co-incubations with l-Glu and (S)-EFV are shown as dashed (yellow
and black dashes, respectively) colored bars. The results are presented
as the mean ± SD of the measurements from the three independent
experiments.
Mapping of the CYP46A1
allosteric site for rac-3. (a–c)
Computational models of (S)-EFV (black), l-Glu (yellow), (S)-3 (dark green),
and (R)-3 (light green) binding to the
CYP46A1 surface. Docking experiments were carried out on PDB code 2Q9G. Models for (S)-EFV and l-Glu are taken from ref (1), and those for (S)-3 and (R)-3 were generated in the present work. The heme group is in red. The
nitrogen, oxygen, chlorine, and fluorine atoms are in blue, red, light
green, and cyan, respectively. (d) Effect of l-Glu (100 μM),
(S)-EFV (20 μM), or EFV analog (20 μM)
on the maximal extent of CYP46A1 activation. CYP46A1 activity is presented
as nanomoles of 24-hydroxycholesterol (24HC) formed per nmole of CYP46A1
per min. Control incubations with no activator, l-Glu only,
and (S)-EFV only are shown as a white, yellow, and
black bar, respectively. Incubations with an EFV-related compound
only are shown as solid colored bars, and co-incubations with l-Glu and (S)-EFV are shown as dashed (yellow
and black dashes, respectively) colored bars. The results are presented
as the mean ± SD of the measurements from the three independent
experiments.To further map compound binding, we used the CYP46A1
mutants generated for this study as well as previously[1,23] and assessed how the replacement of the amino acid residues specific
for EFV binding site (R415A and F405A) and Glu binding site (K358R/L/A,
F416A, and Y427F/A) as well as the loop region forming the common
border between the two sites (K422A and R424A) affect maximal CYP46A1
activation by different EFV metabolites and derivatives. The P450
activation by rac-3,(S)-6, or rac-7 was not significantly affected by the smaller sized replacements
within the EFV-binding site (R415A and F405A) but was largely reduced
or abolished by the smaller sized replacements within the Glu-binding
site (K358A, F416A, and Y427A) (Figure a). The effect of the alanine substitutions of the
border-forming Lys-422 and Arg-424 was differential, and activation
pattern of the CYP46A1 mutants by rac-8 and rac-9 was different with only
EFV-site but not the Glu-site smaller sized mutations mainly affecting
the P450 activation, evidence for the preferential EFV-site binding
(Figure b). Lastly,
the activation of all of the smaller sized CYP46A1 mutants was altered
by (S)-1, rac-2, and rac-5, suggesting that
these compounds bind to both EFV- and Glu-binding sites. Thus, depending
on the structure, EFV-related compounds could bind either to both
or mainly one of the allosteric sites and activate CYP46A1 in vitro
with the extent of the P450 activation being compound-specific but
not the allosteric site-specific (Table ).
Figure 5
Mapping of the CYP46A1 allosteric site(s) for
binding of EFV-related compounds. (a, b) Maximal activity of wild
type (WT) CYP46A1 and the P450 mutants in the absence (white bars)
or presence of different EFV-related compounds (20 μM, colored
bars). CYP46A1 activity is presented as nanomoles of 24-hydroxycholesterol
(24HC) formed per nmole of CYP46A1 per min. The results are presented
as the mean ± SD of the measurements from the three independent
experiments. (c–e). Some of the amino acid residues forming
EFV binding site (c) and Glu binding site (d and e) as well as the
border between the sites (c–e). The positions of (S)-EFV, (S)-3, and (R)-3 within these sites are also shown. Docking experiments
were carried out on PDB code 2Q9G.
Mapping of the CYP46A1 allosteric site(s) for
binding of EFV-related compounds. (a, b) Maximal activity of wild
type (WT) CYP46A1 and the P450 mutants in the absence (white bars)
or presence of different EFV-related compounds (20 μM, colored
bars). CYP46A1 activity is presented as nanomoles of 24-hydroxycholesterol
(24HC) formed per nmole of CYP46A1 per min. The results are presented
as the mean ± SD of the measurements from the three independent
experiments. (c–e). Some of the amino acid residues forming
EFV binding site (c) and Glu binding site (d and e) as well as the
border between the sites (c–e). The positions of (S)-EFV, (S)-3, and (R)-3 within these sites are also shown. Docking experiments
were carried out on PDB code 2Q9G.
Studies of a Model of (S)-EFV and rac-3 Binding to the CYP46A1 Active Site
These
studies were carried out to gain insight into why there was no decrease
in CYP46A1 activation and ultimately enzyme inhibition by rac-3 at higher metabolite concentrations as
in the case with (S)-EFV (Figure b). Indeed, both (S)-EFV
and rac-3 bind to the active site of
substrate-free CYP46A1 and likely act as inhibitors by coordinating
the P450 hemeiron with the secondary amine group (Figure ). Further, only a 2-fold difference
in the apparent spectral Kd of rac-3 and (S)-EFV for substrate-free
CYP46A1 is not large enough to predict that there would be no competition
between rac-3 and cholesterol for the
CYP46A1 active site as likely in the case with (S)-EFV. We first determined the binding rates of (S)-EFV and rac-3 for substrate-free
CYP46A1 at different compound concentrations as diagnostic for a model
of compound binding: conformation-selection vs induced-fit[35,36] with the former discovered recently to be operative in several human
P450 enzymes.[37−40] Increasing compound concentrations increased the magnitude of the
spectral changes with both (S)-EFV and rac-3 (Figure a–d) but clearly decreased the rates of binding (kobserved) (Figure ). Notably, for rac-3, these
rates were always lower (at least ∼7-fold) than those for (S)-EFV, and rac-3 showed essentially
no spectral binding at 15–30 μM, the concentrations that
still led to a measurable (S)-EFV binding. Similarly,
when (S)-EFV and rac-3 were added to cholesterol-bound CYP46A1 (Figure e,f), the absorbance change for the type
2 spectral response was still observed for (S)-EFV
at 50 μM but not rac-3 at 2 μM.
A decrease in binding rates with increasing compound concentration
indicates a conformation-selection model of binding.[35,36] Collectively, the data obtained suggested that different CYP46A1
conformations are necessary for (S)-EFV and rac-3 binding to the P450 active site and that
much less enzyme molecules exist in solution in the conformation favorable
for rac-3, thus preventing it from efficient
competition with cholesterol for the CYP46A1 active site.
Figure 6
Binding of
(S)-EFV and rac-3 to
CYP46A1. The P450 (4 μM) was mixed with varying concentrations
of a compound, and spectra were collected and analyzed. (a, b) Mixing
CYP46A1 with low (2 μM) and (c, d) high (50 μM or 60 μM)
compound concentrations. (e, f) Mixing of 4 μM P450 46A1·4
μM cholesterol complex with 50 μM or 2 μM compound.
The fits shown are single exponentials. At least four individual traces
were collected and averaged.
Figure 7
Dependence of rates of binding to CYP46A1 as a function
of compound concentration. Traces of Δ(A437 – A416) (e.g., Figure ) were fit to single
exponential plots. The error bars show the SD of the OLIS software
fits. At least four separate reactions were averaged for each data
point.
Binding of
(S)-EFV and rac-3 to
CYP46A1. The P450 (4 μM) was mixed with varying concentrations
of a compound, and spectra were collected and analyzed. (a, b) Mixing
CYP46A1 with low (2 μM) and (c, d) high (50 μM or 60 μM)
compound concentrations. (e, f) Mixing of 4 μM P450 46A1·4
μM cholesterol complex with 50 μM or 2 μM compound.
The fits shown are single exponentials. At least four individual traces
were collected and averaged.Dependence of rates of binding to CYP46A1 as a function
of compound concentration. Traces of Δ(A437 – A416) (e.g., Figure ) were fit to single
exponential plots. The error bars show the SD of the OLIS software
fits. At least four separate reactions were averaged for each data
point.Next, we determined the apparent koff rates for cholesterol, (S)-EFV and rac-3 (Table , Figure S1). Release of
cholesterol (koff) was very slow, 2 orders
of magnitude slower than that of (S)-EFV and rac-3, perhaps a reason why the apparent Kd of cholesterol for CYP46A1 was also much lower
than those of (S)-EFV and rac-3 (9 nM vs 5 μM). Accordingly the calculated kon rate of cholesterol was 1.7-fold lower than
that for (S)-EFV but 1.9-fold higher than that for rac-3, another advantage of (S)-EFV relative to rac-3 in terms of
binding to the CYP46A1 active site. Thus, not only the predominant
enzyme conformation but also the steady state kon puts (S)-EFV at advantage,
Table 2
Compound Binding to CYP46A1a
compd
Kd for substrate-free CYP46A1
(M)
calculated konb (M–1 s–1)
experimental koff (s–1)
cholesterol
9 × 10–9c
1.3 × 106
0.012 ± 0.002
(S)-EFV
5 × 10–6d ± 0.4 × 10–6
2.2 × 106
11.2 ± 0.9
rac-3
5 × 10–6e ± 0.3 × 10–6
0.7 × 106
3.6 ± 0.2
Experimental data are presented
as the mean ± SD of the measurements from the three independent
experiments.
Values calculated
from Kd and koff assuming .
This value comes from an apparent Kd of
80 nM [20] after the correction for
HPCD binding. See Experimental Section for
details.
This is the Kd value for titrations at 24 °C [20] because the stopped-flow experiments were conducted
at 23 °C.
This is the Kd value for titrations at 24 °C determined
in the present work in addition to the Kd value at 18 °C (Figure ) as compared to rac-3, for
the CYP46A1 active site binding and hence inhibition.
Experimental data are presented
as the mean ± SD of the measurements from the three independent
experiments.Values calculated
from Kd and koff assuming .This value comes from an apparent Kd of
80 nM [20] after the correction for
HPCD binding. See Experimental Section for
details.This is the Kd value for titrations at 24 °C [20] because the stopped-flow experiments were conducted
at 23 °C.This is the Kd value for titrations at 24 °C determined
in the present work in addition to the Kd value at 18 °C (Figure ) as compared to rac-3, for
the CYP46A1 active site binding and hence inhibition.
Discussion and Conclusion
The present work provides
insight into the structure–activity relationships of (S)-EFV for CYP46A1 activation. Of the four functionalities
tested (the N-1, 2-keto group, O-3, and cyclopropyl ring, Figure a), only one (the
O-3) does not seem to be important for CYP46A1 activation as indicated
by the concentration dependence curve for rac-8 (Figure d). This curve was similar to that of (S)-EFV, consistent
with compound binding to the same allosteric site as EFF (Figure b). Yet interaction
with the CYP46A1 the active site was different as indicted by a type
1 spectral response in substrate-free CYP46A1 (Figure ). In addition, our studies revealed that
introducing the hydroxyl group at C-7, C-8, or both C-8 and C-14 of
EFV increased the maximal extent of CYP46A1 activation and eliminated
the undesired CYP46A1 inhibition at higher compound concentrations
(Figure b). All three
hydroxylated compounds ((S)-1, rac-1, rac-2,
and rac-3) appeared to bind similarly
to the CYP46A1 active site (i.e., elicited a type 2 spectral response
in substrate-free CYP46A1, Figure ) and seemed to interact with either the allosteric
site for Glu (rac-3) or both EFV and
Glu ((S)-1 and rac-2). As with rac-8, a reverse
type 1 spectral response induced in cholesterol-bound CYP46A1 was
a common feature of the hydroxylated compounds. However, only in the
case of rac-3 did this spectral response
fit to a hyperbolic curve. It is thus possible that a reverse type
1 spectral response in cholesterol-bound CYP46A1 and a hyperbolic
spectral fit are the features of a compound that does not inhibit
the P450 at higher concentrations while activating CYP46A1 to the
extent comparable with that of (S)-EFV (Table ). Further studies
are required to address this possibility.Notably the apparent Kd values for substrate-free CYP46A1 (Figure ) did not appear
to be indicative of CYP46A1 inhibition in the concentration dependence
curves, as was demonstrated by rac-1, rac-2, and rac-3 (Figure b). To clarify the reason for a weak predictive power of an apparent Kd value, we capitalized on a recent discovery
in the P450 field showing that the P450-compound interactions are
complex and that conformational-selection is a dominant feature of
many of these interactions for human P450s 2C6, 2D6, 3A4, 4A11, 17A1,
and 21A2.[37−40] By conducting the stopped-flow experiments, we ascertained that
(S)-EFV and rac-3 bind
to substrate-free CYP46A1 in a mechanism involving conformational-selection,
which is apparently more favorable to (S)-EFV than rac-3, a bulkier compound requiring more space
in the P450 active site. In addition, a 3-fold lower kon of rac-3 than that of
(S)-EFV when cholesterol release from the CYP46A1
active site (the koff) is extremely slow
(Table ) could be
another reason for caution when considering the apparent Kd values.An important finding of the present work
was that CYP46A1 could be activated by racemic mixtures, which is
in contrast to HIV reverse transcriptase, which is inhibited only
by the (S)-isomer of EFV.[41] CYP46A1 activation and response to (S)-1 and rac-1 were similar but not identical
(Figures b, 2, 3), and molecular docking
of (S)-3 and (R)-3 suggested the same binding site but a different binding
mode (Figure b,c).
Thus, at least in some cases, using a racemate as compared to an expensive
(S)-isomer could be more advantageous (besides lower
compound cost) for activating CYP46A1 in vivo. First, we could still
see the benefits of the enzyme activation while possibly minimizing
the negative, non-CYP46A1 related effects[42−44] suggested by
several cell culture studies, in which (S)-8-hydroxyEFV
(as well as (S)-7-hydroxyEFV but to a lesser extent
and not always) was shown to induce cell damage or death.[45−47] However, these cell culture findings are not supported by a study
in humans showing that neither plasma nor cerebrospinal fluid levels
of (S)-8-hydroxyEFV are associated with central nervous
system toxicity.[29] Also, the metabolite
concentrations in the cell culture studies were designed to mimic
the 600 mg/day EFV dose, which is >80-fold higher (∼8.5
(mg/kg of body weight)/day for a 70 kg person) than that (0.1 (mg/kg
body weight)/day) given to mice. Second, CYP2B6 metabolizes (S)-EFV 10 times more efficiently in vitro than (R)-EFV and does not generate the (R) isomers
of 7-hydroxyEFV (2), 7,8-dihydroxyEFV (4), and 8,14-dihydroxyEFV (3) from (R)-EFV.[48] Therefore the plasma half-life
of racemic EFV or a hydroxylated EFV metabolite could be longer and
hence requires a less frequent drug administration to activate CYP46A1.
Lastly, potential toxic effects of the R-isomers
of EFV metabolites have not been studied and may not be so detrimental
as those suggested for the (S)-isomers.[45−47] An in vivo investigation with racemic EFV and/or 8,14-dihydroxyEFV
is required to evaluate potential benefits of the racemate use indicated
by the current work in vitro.Of immediate clinical significance
is our finding that EFV hydroxylations at positions 7, 8, and 14,
which represent initial steps in EFV clearance by the liver,[4,25−28] enhance CYP46A1 activation at lower metabolite concentrations without
inhibiting the enzyme at higher concentrations (Figure b). This finding raises a possibility that
not only EFV but also its metabolites activate CYP46A1 in vivo. Indeed,
all these compounds are present in the plasma of EFV-treated subjects:
EFV at 2170–3350 ng/mL; 8-hydroxyEFV (1) at 315–2160
ng/mL; 7-hydroxyEFV (2) at 8.8–225 ng/mL; 8,14-dihydroxyEFV
(3) at 10.2 ng/mL.[4,49−54] Also, the total polar surface areas of 38.3 Å2 and
78.8 Å2 for EFV and 8,14-dihydroxyEFV, respectively,
and the predicted log P values of 4.53 and 3.17,
respectively (calculated using the Molinspiration property calculation
service), are within the desirable range for good CNS availability
(<90–120 and 2–5).[55] Consistent
with these properties, EFV (13.9–19.5 ng/mL), 8-hydroxyEFV
(1, 3.1–5.3 ng/mL), 7-hydroxyEFV (2, 0.63 ng/mL), and 8,14-dihydroxyEFV (3, 0.38–0.44
ng/mL) were detected in the cerebrospinal fluid, an established marker
for free compound levels in the brain.[4,29,49−53] The detected compound levels in the cerebrospinal fluid were however
low, probably because in the blood, EFV and EFV metabolites are ≥99.6%
protein (albumin)-bound;[4,50,51] hence only small drug amounts likely cross the blood–brain
barrier.[44] Then once in the brain, EFV
seems to readily accumulate in the tissue due to high propensity for
protein binding as indicated by the experiments showing that EFV brain
levels could exceed those in the plasma 4.6 times within 1 h of an
intraperitoneal administration.[56] In addition,
EFV metabolites in the brain could be produced locally because EFV-metabolizing
CYP2B6, CYP1A1, and CYP2C8 are not only expressed in the liver but
also in the brain.[57−59] Thus, EFV metabolites could be present in the brain
and activate CYP46A1 along with EFV, a possibility that would explain
in part why only a small EFV dose (0.1 (mg /kg body weight)/day) is
sufficient to activate CYP46A1 in mouse brain.To conclude,
structure–activity relationships of EFV for CYP46A1 activation
were investigated and revealed that hydroxylations at C-7, -8, and
-14 increase CYP46A1 activation at lower compound concentrations and
decrease enzyme inhibition at higher compound concentrations. EFVN-1, 2-keto group, and the cyclopropyl ring were found to contribute
to CYP46A1 activation, whereas the drug O-3 did not seem to be important.
All of the investigated EFV metabolite and analogs decreased CYP46A1
inhibition at higher concentrations, possibly because their binding
to the P450 active site involves the conformational selection mechanism.
We also mapped the allosteric sites of compound binding on the CYP46A1
surface. The data obtained suggest the future direction of our work.
This includes testing the following compounds, first in vitro and
then, if justified, in vivo as potentially better CYP46A1 activators
than (S)-EFV: (S)- and rac-7,8-dihydroxyEFV as well as (S)-8,14-dihydroxyEFV.
Efforts are in progress for the generation of these compounds.
Experimental Section
Materials
(S)-EFV ((S)-6-chloro-4-(cyclopropylethynyl)-4-(trifluoromethyl)-1,4-dihydro-2H-benzo[d][1,3]oxazin-2-one) and
all EFV metabolites, as well as analogs, were purchased from Toronto
Research Chemicals (Toronto, ON, Canada) and were >95% pure according
to the manufacturer’s certificates of analysis (Figures S2–S11). 1HNMR and 19F NMR spectra of these compounds conformed to their structures. l-Glutamate was from MilliporeSigma (St. Louis, MO), and a 2
mM stock solution was prepared in water. Cholesterol was obtained
from Steraloids (Newport, RI), and 24-hydroxy-[25,26,26,26,27,27,27-2H7]-cholesterol was from Medical Isotopes (Pelham,
NH). Cholesterol was added from a 1 mM stock in 4.5%, w/v, aqueous
2-hydroxypropyl-β-cyclodextrin (HPCD), and deuterated 24-hydroxycholesterol
was added from a 0.1 mM stock in methanol. Human truncated Δ(2–50)CYP46A1
with a four-histidine tag on the C terminus and ratcytochrome P450
oxidoreductase were expressed in Escherichia coli and purified as described.[60,61] The F405A Δ(2–50)CYP46A1
mutant was generated by using an in vitro QuikChange site-directed
mutagenesis kit (Stratagene, San Diego, CA) according to the instructions.
The correct generation of the desired mutation and absence of undesired
mutations were confirmed by nucleotide sequencing of the entire CYP46A1
coding region as well as by the restriction analysis.
Enzyme Assays
Incubations for the concentration dependence
curves were carried out in 1 mL of 50 mM KPi buffer (pH
7.2) containing 100 mM NaCl, 40 μg/mL l-α-1,2-dilauroyl-sn-glycero-3-phosphocholine, 0.5 μM purified Δ(2-50)CYP46A1,
1.0 μM cytochrome P450 oxidoreductase, 40 μM cholesterol,
varying concentrations of a test compound (0–100 μM added
from 0.5 to 5 mM methanolstocks to keep the 2% final methanol concentration),
2 units of catalase, and an NADPH-regenerating system (1 mM NADPH,
10 mM glucose 6-phosphate, and 2 units of glucose 6-phosphate dehydrogenase).
Enzymatic reactions proceeded for 30 min at 37 °C, followed by
sterol extraction with 5 mL of dichloromethane containing 1 nmol of
24-hydroxy-[25,26,26,26,27,27,27-2H7]-cholesterol,
which served as an internal standard. Sterol extracts were then processed
and analyzed by gas chromatography–mass spectrometry as described.[62] Incubations to determine for the maximal extent
of CYP46A1 activation and the activation of the CY46A1 mutants were
carried out similarly, except a fixed concentration (20 μM)
of a test compound (added from a 5 mM stock in methanol) was used.
Co-incubations with l-Glu were with 100 μM neurotransmitter.
Spectral Titrations
Spectral titrations were carried
out at 18 °C as described,[63] i.e.,
in 1 mL of 50 mM KPi buffer (pH 7.2) containing 100 mM
NaCl and 0.4–0.5 μM Δ(2-50)CYP46A1, either substrate
free or substrate-bound, i.e., in the presence of 20 μM cholesterol.
Stock solutions of a 0.5–5 mM test compound in methanol or
0.5 mM cholesterol in 4.5% (w/v)
aqueous HPCD were used. Data were fit by the GraphPad Prism software
to either of the following equations:or an allosteric sigmoidal curve, in which
[E] is the enzyme concentration, ΔA is the
spectral response at different compound concentrations [L], and ΔAmax is the maximal amplitude of the spectral
response.
Computational Dockings
The structures of (S)-3 and (R)-3 were optimized
with density functional theory calculations at the B3LYP/6-31+G* level
of theory using Gaussian 16.[64] These architectures
were then used as the input for docking experiments, using Autodock
4.2.6,[65] Autodock VINA,[66] and Ledock.[67] Input files were
generated using Autodock Tools 1.5.6[68] and
converted using OpenBabel 2.3.1.[69] Docking
experiments were carried out on PDB code 2Q9G,[24] with a
search box centered on the l-Glu binding pocket. The search
box was similarly sized for all docking approaches (Autodock, 74 ×
74 × 74, grid spacing 0.375 Å; Autodock VINA, 28 Å
× 28 Å × 28 Å; Ledock, 28 Å × 28 Å
× 28 Å). Visualization of docked compounds on the protein
surface was carried out using PyMol.
Stopped-Flow Kinetics
Measurements were made in an
OLIS RSM-1000 stopped-flow spectrophotometer (On-Line Instrument Systems,
Bogart, GA) in the rapid-scanning mode, using a 20 mm × 4 mm
cell, 16 mm × 0.2 mm Scandisk, 1.24 mm slits (8 nm bandpass),
and 600 lines/500 nm gratings, operating at 23 °C. When the collection
period was ≤4 s, data were collected at 1000 scans/s; when
the collection time was >4 s, 62 scans/s were collected in the
signal average mode. The wavelength range used was 330–570
nm. Measurements typically involved mixing one syringe containing
4 μM CYP46A1 in 50 mM KPi (pH 7.2), supplemented
100 mM NaCl, and another syringe containing a varying compound concentration
in an equal volume of the same buffer. When CYP46A1 was premixed with
equimolar cholesterol, the latter was added from a 2 mM stock in 4.5%
(w/v) 2-hydroxypropyl-β-cyclodextrin. The data were saved as
OLIS (.ols), and Excel files and converted to ΔAmax – ΔAmin plots.
The resulting Excel files were corrected to ΔA > 0, saved as txt
files, and imported into KinTek Explorer software version 8.0 (KinTek,
Snowshoe, PA).[70] Analyses utilized an Apple
iMac OSX 10.13.6 system.The apparent rates of release (koff) of cholesterol, (S)-EFV,
and rac-3 from CYP46A1 were estimated
by mixing a prebound complex with compound under study (4 μM
CYP46A1 and 4 μM compound) with an excess of the inhibitor clotrimazole
(40 μM), which binds tightly and has a different spectral complex.[33,71] An increase in the Δ(A437-A416) absorbance was measured, and
data from 8 to 12 plots were averaged. KinTek Explorer was used for
data fitting. Since , the kon rates
were then calculated from the compound Kd values for substrate-free CYP46A1 (Figure ). Cholesterol binds to both HPCD and CYP46A1;
therefore the true Kd of cholesterol for
CYP46A1 was calculated (9 nM) using KinTek Explorer and an apparent Kd of cholesterol for CYP46A1 (0.08 μM [20]), the Kd of cholesterol
for HPCD in 50 mM KPi buffer (pH 7.2) containing 100 mM
NaCl at 24 °C (540 μM, determined in the present work as
described[72]), and the HPCD concentration
(3.1 mM).
Authors: E Ngaimisi; S Mugusi; O M Minzi; P Sasi; K-D Riedel; A Suda; N Ueda; M Janabi; F Mugusi; W E Haefeli; J Burhenne; E Aklillu Journal: Clin Pharmacol Ther Date: 2010-09-29 Impact factor: 6.875
Authors: Tiina J Kotti; Denise M O Ramirez; Brad E Pfeiffer; Kimberly M Huber; David W Russell Journal: Proc Natl Acad Sci U S A Date: 2006-02-27 Impact factor: 11.205
Authors: Natalia Mast; Mark Andrew White; Ingemar Bjorkhem; Eric F Johnson; C David Stout; Irina A Pikuleva Journal: Proc Natl Acad Sci U S A Date: 2008-07-09 Impact factor: 11.205