Michael Holmboe1,2, Per Larsson1, Jamshed Anwar3, Christel A S Bergström1. 1. Department of Pharmacy, Uppsala University, Uppsala Biomedical Centre , P.O. Box 580, SE-751 23 Uppsala, Sweden. 2. Department of Chemistry, Umeå University , Umeå, Sweden. 3. Chemical Theory & Computation, Department of Chemistry, University of Lancaster , Lancaster LA1 4YB, U.K.
Abstract
We performed molecular dynamics (MD) simulations to obtain insights into the structure and molecular interactions of colloidal structures present in fasted state intestinal fluid. Drug partitioning and interaction were studied with a mixed system of the bile salt taurocholate (TCH) and 1,2-dilinoleoyl-sn-glycero-3-phosphocholine (DLiPC). Spontaneous aggregation of TCH and DLiPC from unconstrained MD simulations at the united-atom level using the Berger/Gromos54A7 force fields demonstrated that intermolecular hydrogen bonding between TCH molecules was an important factor in determining the overall TCH and DLiPC configuration. In bilayered systems, these intermolecular hydrogen bonds resulted in embedded transmembrane TCH clusters. Free energy simulations using the umbrella sampling technique revealed that the stability of these transmembrane TCH clusters was superior when they consisted of 3 or 4 TCH per bilayer leaflet. All-atom simulations using the Slipids/GAFF force fields showed that the TCH embedded in the bilayer decreased the energy barrier to penetrate the bilayer (ΔGpen) for water, ethanol, and carbamazepine, but not for the more lipophilic felodipine and danazol. This suggests that diffusion of hydrophilic to moderately lipophilic molecules through the bilayer is facilitated by the embedded TCH molecules. However, the effect of embedded TCH on the overall lipid/water partitioning was significant for danazol, indicating that the incorporation of TCH plays a crucial role for the partitioning of lipophilic solutes into e.g. lipidic vesicles existing in fasted state intestinal fluids. To conclude, the MD simulations revealed important intermolecular interactions in lipidic bilayers, both between the bile components themselves and with the drug molecules.
We performed molecular dynamics (MD) simulations to obtain insights into the structure and molecular interactions of colloidal structures present in fasted state intestinal fluid. Drug partitioning and interaction were studied with a mixed system of the bile salt taurocholate (TCH) and 1,2-dilinoleoyl-sn-glycero-3-phosphocholine (DLiPC). Spontaneous aggregation of TCH and DLiPC from unconstrained MD simulations at the united-atom level using the Berger/Gromos54A7 force fields demonstrated that intermolecular hydrogen bonding between TCH molecules was an important factor in determining the overall TCH and DLiPC configuration. In bilayered systems, these intermolecular hydrogen bonds resulted in embedded transmembrane TCH clusters. Free energy simulations using the umbrella sampling technique revealed that the stability of these transmembrane TCH clusters was superior when they consisted of 3 or 4 TCH per bilayer leaflet. All-atom simulations using the Slipids/GAFF force fields showed that the TCH embedded in the bilayer decreased the energy barrier to penetrate the bilayer (ΔGpen) for water, ethanol, and carbamazepine, but not for the more lipophilic felodipine and danazol. This suggests that diffusion of hydrophilic to moderately lipophilic molecules through the bilayer is facilitated by the embedded TCH molecules. However, the effect of embedded TCH on the overall lipid/water partitioning was significant for danazol, indicating that the incorporation of TCH plays a crucial role for the partitioning of lipophilic solutes into e.g. lipidic vesicles existing in fasted state intestinal fluids. To conclude, the MD simulations revealed important intermolecular interactions in lipidic bilayers, both between the bile components themselves and with the drug molecules.
The hunt for highly
potent new drug molecules, often targeting
receptors with lipophilic molecular requirements, has resulted in
a general trend of increasing number of highly lipophilic, poorly
water-soluble drugs.[1−3] Between 75 and 90% of all new drug molecules have
a solubility which is too low to allow complete dissolution of the
dose in the intestinal fluid after oral administration.[4,5] Therefore, the bioavailability of the drug is compromised due to
low and erratic absorption. In the gastrointestinal tract lipophilic
drug molecules are solubilized in mixed lipid aggregates in the intestinal
fluids. In the fasted state, these are composed of bile salts and
phospholipids. For lipophilic drug molecules, the interaction of the
drug with the bile salts and phospholipids can have a significant
effect on the partitioning into these structures and, hence, impact
the solubilization and, consequently, the bioavailability. The composition
of the intestinal fluid shows high interindividual variability in
the fasted state,[6,7] and the large variation in bile
secretion and composition adds another unpredictable element to drug
delivery. Unpredictable bioavailability can be critical when the drug
has a limited therapeutic window; i.e., a low dose may be ineffective
while a high dose results in toxicity.The two primary components
in simulated human intestinal fluid
are the bile salt taurocholate (TCH) and the phospholipidphosphatidylcholine1,2-dilinoleoyl-sn-glycero-3-phosphocholine (DLiPC).[8,9] Phospholipids have polar headgroups and long (nonpolar) acyl chains
(Figure ). They therefore
tend to self-assemble into ordered and extended bilayered membranes
and micelles in water to minimize the exposure of their nonpolar groups
to water. Bile salts are amphiphilic surfactants that easily self-assemble
into small micelles in water solutions at millimolar concentrations,[10−16] with the capacity to solubilize both polar and nonpolar compounds.[17,18] Bile salts originate from cholesterol in the liver and contain a
hydrophilic side chain attached to a large, rigid, and boat-shaped
tetracyclic ring system. The ring system is characterized by a hydrophilic
and a hydrophobic face, where the overall amphiphilic properties stem
from the hydrophilic hydroxyl and hydrophobic methyl groups located
on different sides of the ring system (see Figure ).[19]
Figure 1
United-atom
molecular dynamics snapshots and Lewis structures illustrating
the deprotonated bile salt taurocholate (TCH, top) and the phospholipid
1,2-dilinoleoyl-sn-glycero-3-phosphocholine (DLiPC,
bottom). Note the stereochemistry of the TCH hydroxyl groups.
United-atom
molecular dynamics snapshots and Lewis structures illustrating
the deprotonated bile salt taurocholate (TCH, top) and the phospholipid1,2-dilinoleoyl-sn-glycero-3-phosphocholine (DLiPC,
bottom). Note the stereochemistry of the TCH hydroxyl groups.Experimental characterization
and drug dissolution studies show
that mixtures of DLiPC and TCH produce different mixed lipid aggregates
that may increase the solubility of certain drugs by several tenfold.[20] The conditions of formation of these mixed lipid
aggregates and their colloidal structure (micellar, uni-multilamellar
vesicles) are hence of fundamental importance for the solubilization
of drug molecules in the intestine. The aggregate size and the type
of the structures formed in the three-component systems of water/bile
salt/phospholipid differ significantly compared to two-component systems
(water/bile or water/phospholipid) that typically form micelles or
vesicles.[11,21−25] In this study, we used MD simulations to study drug
partitioning into colloidal structures typically found in fasted intestinal
fluid. As the first step, we investigated spontaneous aggregation
of mixed TCH and DLiPC systems and simulated a range of systems with
different water/TCH/DLiPC ratios on the united-atom (UA) level, starting
from either random or ordered bilayer structures. Then, to quantify
and further investigate the mixed lipid aggregates, we performed simulations
of embedded TCH clusters in DLiPC bilayers using free energy calculations
via umbrella sampling (US) simulations. Finally, we investigated the
free energy barriers of the interaction of selected model drug compounds
with representative DLiPC bilayer membranes, either without or in
the presence of embedded TCH at a TCH:DLiPC ratio of 1:2, using US
simulations on the all-atom level.
Results and Discussion
Interaction
between Taurocholate and Phospholipids
Initially, several
different attempts to probe the tendency for TCH
and DLiPC molecules to spontaneously aggregate into ordered bilayers
were performed on the united-atom level using the Berger/Gromos54A7
force fields by simulating systems having random initial configurations
and different TCH and DLiPC compositions and sizes. These initial
simulations were performed in view of the findings by Marrink et al.,
who showed that several phospholipids (1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC), 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC), 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC), and 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE)) spontaneously aggregate into
an equilibrated bilayer phase in water within a few tens of nanoseconds,
using random starting configurations.[26] In contrast to the reported systems and simulations, only a handful
of the simulated DLiPC and mixed DLiPC/TCH systems performed in this
study from random starting configurations yielded well-defined lipid
aggregates after more than 100 ns of simulations. As for DLiPC, this
can be explained by the polyunsaturated acyl chains yielding a low
gel to liquid phase transition temperature (Tm) of −57 °C.[27] For
comparison, this is approximately 100 °C lower than for the saturated
16- and 18-carbon analogues, DPPC and DSPC (Tm = 41 and 55 °C, respectively[28]). With this in mind, it appeared that the full equilibration of
the self-assembly between mixed DLiPC/TCH systems may require much
longer time scales than those used in this study and that by Marrink
et al. In line with previous studies, however,[29] the obtained lipid structures were found to be highly dependent
on the properties of the periodic boundary conditions (PBC) and pressure
control. For instance, 64 DLiPC molecules (with or without 16 TCH
molecules saturated with 55 water molecules per lipid) did form a
bilayered phase when semi-isotropic pressure control was used. However,
cylindrical micelles were formed with isotropic pressure control.
It is interesting to note that both types of structures can be found
experimentally and are known to coexist under certain conditions.[30−33]Given that fully equilibrated self-assemblies of the DLiPC/TCHlipid systems typically appeared to be outside the time scale of our
simulations and likely subjected to PBC artifacts, the stability of
preformed bilayer structures of DLiPC with TCH molecules were also
investigated for six systems having 128 DLiPC molecules and TCH:DLiPC
ratios of 0:1, 1:4, 1:2, 1:1, 2:1, and 4:1, respectively, containing
55 water molecules per lipid (i.e., fully water saturated conditions).
The resulting bilayer structures displayed remarkably high stability
on the time scale of the simulations. Figure shows the density profiles of mixed systems
during 100 ns. Interestingly, even at a 1:1 ratio, the DLiPC sustained
a seemingly normal bilayer structure with the polar headgroups extending
toward the aqueous phase, well beyond the TCH polar side chain. This
was further confirmed by the similar positions of the DLiPC main functional
groups (choline, phosphate, glycerol) in the system with a 1:2 TCH:DLiPC
ratio (Figure , center)
as compared with the pure DLiPC system (not shown). As for TCH (Figure , bottom), most of
the sterol groups are buried deep into the DLiPC acyl chains in the
bilayer interior, and the polar side chains face the aqueous phase,
although not beyond the DLiPC polar headgroups. Interestingly, with
increasing TCH concentration in the simulated systems, increasing
amounts of water was also found within the bilayer interior, increasing
from 0 wt % to 0.2, 1, 1.7, 3.3, and 12 wt % with increasing TCH:DLiPC
ratio.
Figure 2
Top: density profiles of mixed TCH/DLiPC united-atom systems containing
0–512 TCH (green) and 128 DLiPC (black) molecules at ratios
of 0:1, 1:4; 1:2, 1:1, 2:1, and 4:1 TCH to DLiPC hydrated with 55
water molecules per lipid. Arrows indicate the effect of increasing
TCH concentration. Dashed lines show the pure DLiPC system. Middle
and bottom: density profiles of the 32:128 TCH:DLiPC system, displaying
the relative positions of the molecular moieties of DLiPC (middle)
and TCH (bottom). For clarity, the dotted lines show the total density
profiles for DLiPC and TCH. Add the following at the end: (Abbreviations
in the middle panel refer to the nitrogen group (N grp), the phosphate
group (P grp) and the glycerol linker (Glyc grp).
Top: density profiles of mixed TCH/DLiPC united-atom systems containing
0–512 TCH (green) and 128 DLiPC (black) molecules at ratios
of 0:1, 1:4; 1:2, 1:1, 2:1, and 4:1 TCH to DLiPC hydrated with 55
water molecules per lipid. Arrows indicate the effect of increasing
TCH concentration. Dashed lines show the pure DLiPC system. Middle
and bottom: density profiles of the 32:128 TCH:DLiPC system, displaying
the relative positions of the molecular moieties of DLiPC (middle)
and TCH (bottom). For clarity, the dotted lines show the total density
profiles for DLiPC and TCH. Add the following at the end: (Abbreviations
in the middle panel refer to the nitrogen group (N grp), the phosphate
group (P grp) and the glycerol linker (Glyc grp).
Stability of Bilayers
The apparent stability of the
mixed TCH:DLiPC bilayers under the given conditions might be due to
the ability of the TCH molecules to organize into transmembrane clusters
in the normal direction within the DLiPC bilayers (Figure ). At low TCH:DLiPC ratios,
most TCH molecules were found slightly below the DLiPC headgroups;
the nonpolar groups faced the bilayer interior, and the polar groups
interacted with the DLiPC headgroups and water molecules. However,
with increasing TCH concentrations within the bilayer, the number
of transmembrane clusters increased, extending throughout the bilayer
in the normal direction. This behavior can be explained by the amphiphilic
nature of TCH, which maximizes the hydrophilic and hydrophobic interactions
of the polar and nonpolar groups simultaneously.
Figure 3
Left: snapshot of a mixed
TCH:DLiPC united-atom bilayer system.
The equilibrated structure from a bilayered system contains 32 deprotonated
TCH and 128 DLiPC molecules. Water molecules are omitted for clarity;
charge-balancing Na+ ions are shown in blue. Right: an
isolated 3/4 TCH cluster having three and four TCH molecules in the
top and bottom bilayer leaflet, respectively. The molecules are stabilized
by hydrogen bonds between the TCH molecules within the same bilayer
leaflet and between TCH molecules in the opposing leaflet. Note the
single water molecule in the upper TCH cluster; it penetrates deep
into the bilayer interior due to the interaction with the buried hydrogen
donors and acceptors of the TCH. PDB files with these structures are
available as Supporting Information.
Left: snapshot of a mixed
TCH:DLiPC united-atom bilayer system.
The equilibrated structure from a bilayered system contains 32 deprotonated
TCH and 128 DLiPC molecules. Water molecules are omitted for clarity;
charge-balancing Na+ ions are shown in blue. Right: an
isolated 3/4 TCH cluster having three and four TCH molecules in the
top and bottom bilayer leaflet, respectively. The molecules are stabilized
by hydrogen bonds between the TCH molecules within the same bilayer
leaflet and between TCH molecules in the opposing leaflet. Note the
single water molecule in the upper TCH cluster; it penetrates deep
into the bilayer interior due to the interaction with the buried hydrogen
donors and acceptors of the TCH. PDB files with these structures are
available as Supporting Information.To study the stability of the
transmembrane TCH clusters as a function
of number of TCH molecules per cluster, a set of simulations were
performed with systems of 64 DLiPClipids containing a single isolated
TCH cluster. One to four TCH molecules were kept in the upper leaflet
and four in the lower one. The TCH transmembrane clusters in systems
with 1 and 2 TCH in the upper leaflet were not stable during the timespan
of the simulation, and the cluster disaggregated. These systems had
a lower probability of transmembrane hydrogen bonding, in contrast
to the systems with 3 or 4 TCH upper leaflet TCH molecules; hence,
the TCH clusters were not stabilized. With only 1 or 2 TCH molecules
in the upper leaflet, the initial hydrogen bonds with the TCH in the
opposing bilayer leaflet were disrupted, and the TCH molecules positioned
themselves adjacent to and below the DLiPC headgroups after a few
tens of nanoseconds. However, the systems with 3 or 4 TCH in the upper
leaflet remained virtually unchanged even after 200 ns, indicating
superior stability over the smaller clusters. Hydrogen bond analysis
(with the maximum bond length and angle between the hydrogen bond
donor and acceptor being 0.35 nm and 30°) further revealed a
slightly larger number of H-bonds per TCH molecule between both TCH/TCH
and TCH/DLiPC for clusters with 3 TCH compared to 4 TCH molecules,
indicating greater stability of the former type (Figure ).
Figure 4
Hydrogen bond participation
per united-atom TCH in transmembrane
clusters containing 3 (blue) and 4 TCH (red) molecules per bilayer
leaflet. The number of inter-TCH hydrogen bonds (approximately 3.5)
is highest in clusters with 3 TCH molecules; in general, this number
of TCH molecules also forms more hydrogen bonds with its surroundings.
Hydrogen bond participation
per united-atom TCH in transmembrane
clusters containing 3 (blue) and 4 TCH (red) molecules per bilayer
leaflet. The number of inter-TCHhydrogen bonds (approximately 3.5)
is highest in clusters with 3 TCH molecules; in general, this number
of TCH molecules also forms more hydrogen bonds with its surroundings.The TCH clusters with 3 TCH molecules
in the same bilayer leaflet
were often slightly tilted relative the normal direction of the bilayer,
with the polar −OH groups in the sterol moiety facing each
other. The clusters with 4 TCH in the same bilayer leaflet typically
had one peripheral and partly excluded TCH, or one to two TCHs slightly
twisted around their principal axis, exposing −OH groups toward
the DLiPC acyl chains. Analysis of the external surface area of the
entire TCH transmembrane clusters with a 0.14 nm probe (i.e., the
equivalent of the water molecule radii) was also performed on the
hydrophobic and hydrophilic parts of those clusters with atom charges
less or greater than ±0.2. This analysis revealed that the 3
TCH clusters had an overall 15% larger hydrophobic area and 4% larger
hydrophilic area per molecule than the clusters with 4 TCH. However,
analysis of the external surface area of the sterol moieties only
(without the polar side chain) resulted in a 12% increase and 10%
decrease in the hydrophobic and hydrophilic areas, respectively. This
shows that the sterol groups of the 3 TCH cluster display a more optimal
packing geometry when embedded in the DLiPC bilayer than the corresponding
4 TCH cluster, by exposing more hydrophobic and less hydrophilic atoms
toward the lipid bilayer interior.Spontaneous formation of
the transmembrane TCH clusters was also
investigated, i.e., TCH cluster formation independent of the possible
artifacts introduced by using ordered starting configurations. For
this, we performed simulations using a pre-equilibrated micelle composed
of 8 TCH embedded in the center of 64 DLiPC bilayer. Upon initial
equilibration, predominately pairs of TCH molecules interacting with
their hydrophilic groups formed within 1–2 ns, with some orienting
the headgroup toward the center of the bilayer. However, during the
production run (500 ns), a 3 + 3 transmembrane TCH cluster formed
within a few nanoseconds with the two residual TCH molecules positioned
adjacent to the DLiPC headgroups on each side of the bilayer. This
result further indicated that TCH transmembrane clusters could form
naturally in bilayers of DLiPC.To further investigate the TCH
and DLiPC interactions in mixed
lipid bilayers, the potential of mean force (PMF) for the TCH molecule
perpendicular the bilayer (z-direction) was determined
using US simulations followed by the weighted histogram analysis.[34] A PMF indicates the affinity of a TCH molecule
for a particular position. The overall PMF profile also reveals the
free energy barriers along the chosen reaction coordinate. Figure shows the PMF profiles
for TCH molecules in different transmembrane clusters over half the
bilayer. For a TCH molecule not interacting with any other TCH molecules
(denoted 1/0 in Figure ), the PMF profile is even positive (+8 kJ/mol) in the center of
the bilayer. This clearly shows that the interior of the bilayer is
an unfavorable environment for the TCH alone. However, with 4 TCH
molecules in the opposing bilayer leaflet (denoted as 1/4 in the figure),
the corresponding value decreased to −68 kJ/mol, indicating
a gain in stability by formation of a transmembrane cluster. It is
also notable that the minimum of the PMF profile (the optimal position
of the molecule COM) of the 1/4 system was more shifted toward the
bilayer center and away from the DLiPC headgroups than the 1/0 system.
With additional TCH molecules present in the same bilayer leaflet
(i.e., systems with 2/4 and 3/4 TCH molecules in the upper and lower
bilayer leaflets, respectively), there were even deeper PMF profiles,
demonstrating a greater overall stability of the TCH clusters. For
clusters with up to 3 TCH molecules in the upper bilayer leaflet,
the minimum of each PMF curve shifted away from the bilayer center
due to the increasing interactions with adjacent TCH. For the same
systems, this trend was accompanied by an increasing free energy penetration
barrier, Gpen (defined analogously to eq ), as indicated in Figure . However, the same
trend was broken upon additional TCH, suggesting that clusters with
>3 TCH are less rigid due to the small energy gain achieved by
adding
an additional TCH to the otherwise stable and rigid 3 TCH-molecule
clusters.
Figure 5
Density and PMF profiles for TCH/DLiPC united-atom systems. Top:
simulation snapshot showing the system setup for the US simulations
with black arrows indicating the approximate position of the on average
40 umbrella windows used. Middle: density profiles of DLiPC and the
TCH cluster, with five separate PMF curves for TCH along the Z-direction, normal to the DLiPC bilayer. Note the shift
in the position of the PMF minimum with a changing number of TCH molecules.
Black arrows indicate ΔGlipid/water and ΔGpen for the 3/4 cluster.
Bottom: density of DLiPC and TCH and the PMF profiles for a 3/4 TCH
cluster without and with additional (xTCH) of surface
TCH.
Density and PMF profiles for TCH/DLiPC united-atom systems. Top:
simulation snapshot showing the system setup for the US simulations
with black arrows indicating the approximate position of the on average
40 umbrella windows used. Middle: density profiles of DLiPC and the
TCH cluster, with five separate PMF curves for TCH along the Z-direction, normal to the DLiPC bilayer. Note the shift
in the position of the PMF minimum with a changing number of TCH molecules.
Black arrows indicate ΔGlipid/water and ΔGpen for the 3/4 cluster.
Bottom: density of DLiPC and TCH and the PMF profiles for a 3/4 TCH
cluster without and with additional (xTCH) of surface
TCH.To better represent physiological
conditions where free TCH molecules
are also present, an additional system was created by adding 64 TCH
to the aqueous bulk phase. After equilibration, the aqueous phase
TCH mostly accumulated at the DLiPC/water interface, which drastically
changed the PMF profile of the probe TCH molecule (Figure , bottom). Nevertheless, the
minimum value and position of the PMF profile strongly resembled systems
without bulk phase TCH. Hence, TCH was energetically favored to interact
with the transmembrane TCH clusters in the lipid bilayer rather than
interacting with the TCH-rich water phase in contact with the DLiPC
bilayer.
Drug Interactions with Bile Salt and Phospholipids
Bile salts and phospholipids such as TCH and DLiPC solubilize drugs[35] and alter lipid membrane properties.[19] Therefore, additional US simulations were performed
to investigate the interactions of drug molecules with the mixed lipid
bilayers of DLiPC and TCH (Figure ). The simulations were performed at the all-atom level
using the Slipids and GAFF force fields, as recommended by a recent
benchmarking study,[36] and to better account
for specific small molecule–lipid interactions. Because of
the computational expense of all-atom US simulations for three-component
systems,[37−39] the simulations were limited to five different molecules:
water, ethanol, carbamazepine, felodipine, and danazol (Figure ). These molecules were chosen
to cover a wide range of lipophilicity, and the resulting log P values, as obtained from eq , are summarized in Table .
Figure 6
Density profiles of a mixed lipid bilayer containing
48 DLiPC and
24 TCH molecules.
Figure 7
Left: molecular structures of ethanol (top left), carbamazepine
(top right), felodipine (middle), and danazol. Right: symmetrized
PMF profiles of water (red), ethanol (green), carbamazepine (blue,
denoted Car), felodipine (purple, denoted Fel), and danazol (black,
denoted Dan) over half an all-atom bilayer (centered at Z = 0) containing only DLiPC or (dotted line) mixed TCH/DLiPC (solid
line).
Table 1
The log P Values
Calculated from All-Atom Simulations with Slipids/GAFF Using Eq
TCH/DLiPCa
DLiPCb
expc
water
–3.1 ± 0.4
–4.6 ± 0.1
ethanol
1.1 ± 0.1
0.75 ± 0.05
–0.3d
carbamazepine
1.9 ± 0.2
2.3 ± 0.2
2.32e
felodipine
4.2 ± 0.3
5.3 ± 0.2
5.58f
danazol
8.1 ± 0.5
6.8 ± 0.3
4.53f
log Plipid/water in mixed
TCH/DLiPC bilayer.
log Plipid/water in pure DLiPC bilayer.
Experimental log Poct.
Reference (40).
Reference (41).
Reference (20).
Density profiles of a mixed lipid bilayer containing
48 DLiPC and
24 TCH molecules.log Plipid/water in mixed
TCH/DLiPC bilayer.log Plipid/water in pure DLiPC bilayer.Experimental log Poct.Reference (40).Reference (41).Reference (20).Left: molecular structures of ethanol (top left), carbamazepine
(top right), felodipine (middle), and danazol. Right: symmetrized
PMF profiles of water (red), ethanol (green), carbamazepine (blue,
denoted Car), felodipine (purple, denoted Fel), and danazol (black,
denoted Dan) over half an all-atom bilayer (centered at Z = 0) containing only DLiPC or (dotted line) mixed TCH/DLiPC (solid
line).For water, there was a clear decrease
in the otherwise positive
PMF profile in the mixed TCH/DLiPC system compared to the pure DLiPC
bilayer when investigating deep partitioning into the membrane (>1
nm). Inspection of the trajectories revealed—in line with the
results in Figure and the united-atom simulations—occasional penetration of
water molecules into the transmembrane TCH clusters, facilitated by
hydrogen bonding with the TCHsterol hydroxyl groups. The overall
free energy difference (ΔGlipid/water) of water in the mixed TCH/DLiPC and the DLiPC reference was 18.6
± 2.3 and 27.6 ± 0.6 kJ/mol, respectively, well in line
with previous studies.[42] This demonstrates
that the water partitioning of a DLiPC bilayer increases by a factor
of 30 when TCH is present (calculated from ΔΔGlipid/water and eq ).The PMF profiles over the mixed TCH/DLiPC and pure
DLiPC bilayer
revealed only small differences in partitioning of the drug molecules
and ethanol (Table ).However, intricate details governing the molecular interactions
between the different compounds and TCH/DLiPC were found by interaction
energy analysis (separating out electrostatic and van der Waals interactions).
For the lipophilic compound danazol (log Poct of 4.53),[20] the corresponding log Plipid/water value was higher in the mixed TCH/DLiPC
and the pure DLiPC systems, respectively, than that observed for octanol.
The increased partitioning of danazol in the mixed TCH/DLiPC bilayer
and the shift of the minimum value in the PMF profile toward the center
of the bilayer are explainable by the van der Waals interactions with
the embedded TCH molecules; these were much stronger than the electrostatic
interactions. This was further indicated by the higher total density
of atoms in the mixed bilayer than in the pure bilayer (Figure ). Despite these findings,
the simulated trajectories did not point to greater extent of binding
between danazol and TCH as compared to danazol and DLiPC.For
felodipine (log Poct of 5.58),[20] the corresponding log Plipid/water values were lower in the mixed TCH/DLiPC than the
pure DLiPC system. The decrease in partitioning of felodipine in the
mixed TCH/DLiPC bilayer resulted from both weaker van der Waals and
electrostatic interactions with DLiPC. Unlike in the danazol system,
these were not compensated for by the interactions with the embedded
TCH. Figure S1 of the Supporting Information shows the overlap of the umbrella sampling windows, as well as the
effect of the symmetrization procedure on the resulting PMF.The differences in the PMF profiles for the TCH/DLiPC and pure
DLiPC bilayers were smaller for the more hydrophilic carbamazepine
and ethanol (log Poct values of 2.32 and
−0.30, respectively[40,41]). An inspection of
the respective trajectories identified that these molecules interacted
with the TCH −OH groups in the center region, which was highly
accessible due to low particle density in the bilayer center. Although
the differences in the PMF profiles were small, the embedded TCH may
accelerate drug diffusion over the lipid bilayer by lowering the ΔGpen. The resulting log Plipid/water for carbamazepine was slightly lower in the mixed
TCH/DLiPC compared to the pure DLiPC system, which was equivalent
to the reported log Poct value. The corresponding
log Plipid/water values for ethanol were,
on the other hand, slightly higher in the mixed TCH/DLiPC compared
to the pure DLiPC system; i.e., there was a slightly increased partitioning
of ethanol when TCH was embedded.
Conclusions
The
MD simulations strongly suggest that in mixtures of TCH and
DLiPC, reflecting the composition of fasted state simulated intestinal
fluid, embedded transmembrane TCH clusters constitute an integral
component in phospholipid bilayers composed of DLiPC. This new finding
complements existing models of mixed bile–phospholipid micelle
and bilayer systems[21,23] by revealing the preferred number
and configuration of bile salt molecules embedded in the phospholipid
bilayers. Both unconstrained and US free energy united-atom simulations
showed that the transmembrane TCH clusters were (i) stabilized by
mutual hydrogen bonds (OH3α···OH3α) across the bilayer center and (ii) preferably consisted
of 3 or 4 (3 + 1) adjacent and clustered TCH molecules per bilayer
leaflet. In the latter type, the additional TCH constituted a more
peripheral member to the overall cluster.From simulations on
the all-atom level, the effect of embedded
TCH in DLiPC bilayers on the partitioning of five model substances
(water, ethanol, carbamazepine, felodipine, and danazol) showed that
only water displayed a positive free energy profile over the entire
bilayer regardless of embedded TCH. For water this positive free energy
barrier was however reduced in the presence of TCH due to penetration
into the transmembrane clusters. For the other hydrophilic solutes—ethanol
and carbamazepine—the overall lipid/water partitioning into
the lipid bilayer was similar to and without embedded TCH. The effect
of embedded TCH on the overall lipid/water partitioning (i.e., from
ΔGlipid/water) was most significant
for danazol, demonstrating that the embedded TCH may facilitate partitioning
into, and hence, solubilization of lipophilic solutes in the mixed
bilayer. However, this was not observed for the other highly lipophilic
drug felodipine, which displayed a slightly reduced log Plipid/water in the presence of embedded TCH.
Methods
Simulation Setup and Parameters
The GROMACS[43,44] suite of programs was used for
all simulations. Unless otherwise
stated, all lipid simulations were conducted at a physiological NaCl
concentration of approximately 0.15 M. For the united-atom simulations
(SPC/Gromos54A7/Berger[45,46]) and the all-atom simulations
(Tip3P/GAFF/Slipids[47]) we used a universal
short-range cutoff at 1.2 nm for both electrostatic and Lennard-Jones
interactions. Long-range electrostatic interactions were treated by
particle mesh Ewald (PME[48]). A long-range
dispersion correction was applied to both energy and pressure.[49] All covalent bond lengths were constrained using
LINCS,[50] and a time step of 2 fs was used
in all production simulations.Simulation systems of DLiPC with
and without TCH were constructed to have either random starting configurations
or ordered bilayers. The latter type was obtained by initially distributing
the lipid monomers on a square grid and pre-equilibrating bilayered
systems for >50 ns while weakly restraining the lipid movements
in
the direction normal to the bilayer.
DLiPC and TCH Parametrization
To model the mixed lipid
systems at the united-atom level, Berger force field parameters for
DLiPC were adapted from a DOPC topology, by enforcing a cis-conformation
of the double bonds in the acyl chains.[45] For TCH, the topology and all interaction parameters were obtained
from the Automated Topology Builder server using the Gromos54A7 force
field.[51] However, the partial charges were
calculated from restricted electrostatic potential fitting using the
pyRED server as OPLS compatible charges (RESP-O1), i.e., by Gaussian09
calculations at the HF/6-31G* level followed by RESP.[52,53]Similarly, a Slipids compatible topology for DLiPC was adapted
from a DOPC topology.[54] This was done by
removal of two hydrogen atoms and by enforcing a cis-conformation
of the two neighboring double bonds and by increasing the partial
charges of the CH2 atoms in the adjacent methylene group
by +0.03 (to +0.06) to maintain charge neutrality. For the all-atom
TCH and drug molecules, the general Amber force field (GAFF) was used,
having molecular topologies constructed by Antechamber software through
the acpype.py script (available online: http://code.google.com/p/acpype/) applied to molecular coordinates obtained from the ZINC database.[55]All regular and unconstrained MD productions
runs were typically
preceded by (i) energy minimization using the steepest descent algorithm
with a tolerance of 1000 kJ mol–1 nm–1, followed by (ii) a 50 ps simulation in the canonical (NVT) ensemble using position restraints on all solute particles, followed
by (iii) a 5 ns volume equilibration simulation in the isothermal–isobaric
(NPT) ensemble. The latter simulations used the Berendsen[56] barostat for semi-isotropic pressure control,
whereas all production runs used the Parrinello–Rahman[57] barostat with semi-isotropic pressure coupling.
For temperature control, the modified Berendsen and velocity-rescaled
thermostats were used for equilibration and production runs, coupling
the non-water and water molecules to separate thermostats. By analogy,
removal of center of mass (COM) translation was applied to the lipids
and water molecules independently; for bilayer simulations, the COM
of the upper and lower bilayer leaflets were controlled separately.Pure DLiPC and mixed TCH:DLiPC US systems—with either a
random or an ordered bilayered initial configuration—were simulated
for a minimum of 100 ns, with either 64, 128, or 256 DLiPC molecules
and with a TCH:DLiPC ratio from 0 to 4:1. To ensure full water saturation,
the systems contained a minimum of 30 water molecules per lipid, in
contrast to 21.5, the reported experimental value for DLiPC.[58]In the following studies we focused on
free energy calculations
making use of the bilayers since it is well-known that unilamellar
vesicles are naturally present in fasted intestinal fluids.[11] Free energy profiles for TCH molecules over
the bilayers, i.e., the potential of mean force (PMF), were computed
from US simulations. To generate the starting configurations for the
sampling, a single TCH molecule was pulled to the aqueous bulk phase
from the center of a representative TCH cluster embedded in a bilayer
consisting of 64 DLiPC molecules. The systems contained 0–4
adjacent TCH molecules within the same bilayer leaflet and 4 TCH in
the opposing bilayer leaflet. The total number of lipids in each leaflet
was set constant by removal of DLiPC molecules from the opposing bilayer
leaflet. Each starting structure was equilibrated with 90 water molecules
per lipid, after which a TCH molecule was pulled by a harmonic force
at a rate of 0.00025 nm/ps with the Gromacs pull code. For the US
simulations, more than 40 configurations were chosen from an initial
set of 2500. In these 40 configurations, the probed TCH molecule was
displaced approximately 0.15 nm along the reaction coordinate, i.e.,
in the normal direction (z-axis) to the bilayer.
Each configuration was then simulated for 5 ns with a harmonic force
constant of 800 kJ mol–1 nm–2.
To ensure proper overlap of the sampled umbrella windows, each umbrella
simulation was performed twice with different starting configurations.
From the resulting potential of mean force (PMF) profiles an equivalent
bilayer/water partitioning (log Plipid/water) was calculated aswhere ΔGlipid/water is the free energy of transfer from
the aqueous phase to the lipid
bilayer, expressed as the difference in the free energy of solubilization,
ΔGwater – ΔGlipid, i.e., analogous to calculations of the
traditional octanol and water partition coefficient log Poct/water.The free energy profiles over the bilayers
for the small molecules
(danazol, felodipine, carbamazepine, water, and ethanol) were similarly
computed from US simulations, this time using all-atom systems. To
evaluate the effect of TCH in the mixed lipid bilayers, umbrella simulations
were also performed using pure DLiPC bilayers without TCH. The mixed
lipid bilayer was constructed with 24 TCH and 48 DLiPC molecules,
whereas 64 DLiPC molecules were used in the systems without TCH. Similarly
to the TCH-only US simulations, representative configurations were
chosen with a spacing of 0.15 nm along the pull vector. Each chosen
configuration was simulated for 20 ns using a harmonic force constant
of 700 kJ mol–1 nm–2. Unlike the
TCH US simulations, however, 2 (or 4 for ethanol) equally spaced probed
molecules were pulled simultaneously through the bilayer, i.e., sampling
both sides of the bilayer leaflet at the same time. This was possible
because of the small size and neutral charge of these compounds. To
avoid overlap of the inserted molecules, a slow growth protocol over
50 consecutive simulation steps was applied, after which the complete
drug/solvent/TCH/DLiPC structure was energy minimized and equilibrated.
Because of this, a lower pull rate of 0.000 05 nm/ps was used
to avoid structural artifacts in the bilayer caused by the pulled
drug molecules.To obtain the final PMF along the reaction coordinate,
i.e., the
free energy profiles, all US simulations were analyzed with the weighted
histogram analysis method as implemented in the GROMACS g_wham utility.
Standard deviations were computed from bootstrapping over 200 runs
using a tolerance of 1 × 10–5.[34] In the mixed TCH/DLiPC system, the PMF with calculated
standard deviations for water was obtained from the averaged Boltzmann-weighted
density profiles of water in the drug molecule simulations, i.e.,
from unconstrained conditions and a total simulation time of approximately
2 μs.
Authors: Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl Journal: Bioinformatics Date: 2013-02-13 Impact factor: 6.937
Authors: Markéta Paloncýová; Gabin Fabre; Russell H DeVane; Patrick Trouillas; Karel Berka; Michal Otyepka Journal: J Chem Theory Comput Date: 2014-07-08 Impact factor: 6.006
Authors: Dallas B Warren; Shadabul Haque; Mitchell P McInerney; Karen M Corbett; Endri Kastrati; Leigh Ford; Hywel D Williams; Vincent Jannin; Hassan Benameur; Christopher J H Porter; David K Chalmers; Colin W Pouton Journal: Pharm Res Date: 2021-09-24 Impact factor: 4.200
Authors: Andrew J Clulow; Albin Parrow; Adrian Hawley; Jamal Khan; Anna C Pham; Per Larsson; Christel A S Bergström; Ben J Boyd Journal: J Phys Chem B Date: 2017-11-21 Impact factor: 2.991