Kalina Atkovska1, Johannes Klingler2, Johannes Oberwinkler3, Sandro Keller2, Jochen S Hub1,4. 1. Institute for Microbiology and Genetics and Goettingen Center for Molecular Biosciences, University of Goettingen, 37077 Göttingen, Germany. 2. Molecular Biophysics, Technische Universität Kaiserslautern (TUK), 67663 Kaiserslautern, Germany. 3. Institut für Physiologie und Pathophysiologie, Philipps-Universität Marburg, 35037 Marburg, Germany. 4. Theoretical Physics, Saarland University, 66123 Saarbrücken, Germany.
Abstract
Steroids have numerous physiological functions associated with cellular signaling or modulation of the lipid membrane structure and dynamics, and as such, they have found broad pharmacological applications. Steroid-membrane interactions are relevant to multiple steps of steroid biosynthesis and action, as steroids are known to interact with neurotransmitter or membrane steroid receptors, and steroids must cross lipid membranes to exert their physiological functions. Therefore, rationalizing steroid function requires understanding of steroid-membrane interactions. We combined molecular dynamics simulations and isothermal titration calorimetry to characterize the conformations and the energetics of partitioning, in addition to the kinetics of flip-flop transitions and membrane exit, of 26 representative steroid compounds in a model lipid membrane. The steroid classes covered in this study include birth control and anabolic drugs, sex and corticosteroid hormones, neuroactive steroids, as well as steroids modulating the lipid membrane structure. We found that the conformational ensembles adopted by different steroids vary greatly, as quantified by their distributions of tilt angles and insertion depths into the membrane, ranging from well-defined steroid conformations with orientations either parallel or normal to the membrane, to wide conformational distributions. Surprisingly, despite their chemical diversity, the membrane/water partition coefficient is similar among most steroids, except for structural steroids such as cholesterol, leading to similar rates for exiting the membrane. By contrast, the rates of steroid flip-flop vary by at least 9 orders of magnitude, revealing that flip-flop is the rate-limiting step during cellular uptake of polar steroids. This study lays the ground for a quantitative understanding of steroid-membrane interactions, and it will hence be of use for studies of steroid biosynthesis and function as well as for the development and usage of steroids in a pharmacological context.
Steroids have numerous physiological functions associated with cellular signaling or modulation of the lipid membrane structure and dynamics, and as such, they have found broad pharmacological applications. Steroid-membrane interactions are relevant to multiple steps of steroid biosynthesis and action, as steroids are known to interact with neurotransmitter or membrane steroid receptors, and steroids must cross lipid membranes to exert their physiological functions. Therefore, rationalizing steroid function requires understanding of steroid-membrane interactions. We combined molecular dynamics simulations and isothermal titration calorimetry to characterize the conformations and the energetics of partitioning, in addition to the kinetics of flip-flop transitions and membrane exit, of 26 representative steroid compounds in a model lipid membrane. The steroid classes covered in this study include birth control and anabolic drugs, sex and corticosteroid hormones, neuroactive steroids, as well as steroids modulating the lipid membrane structure. We found that the conformational ensembles adopted by different steroids vary greatly, as quantified by their distributions of tilt angles and insertion depths into the membrane, ranging from well-defined steroid conformations with orientations either parallel or normal to the membrane, to wide conformational distributions. Surprisingly, despite their chemical diversity, the membrane/water partition coefficient is similar among most steroids, except for structural steroids such as cholesterol, leading to similar rates for exiting the membrane. By contrast, the rates of steroid flip-flop vary by at least 9 orders of magnitude, revealing that flip-flop is the rate-limiting step during cellular uptake of polar steroids. This study lays the ground for a quantitative understanding of steroid-membrane interactions, and it will hence be of use for studies of steroid biosynthesis and function as well as for the development and usage of steroids in a pharmacological context.
Steroids are a heterogeneous
group of typically hydrophobic organic
compounds characterized by a tetracyclic fused-ring core (Figure ). Steroids have
various functions in cells and are involved in numerous metabolic
pathways. Certain steroid compounds modulate the structure of biological
membranes, typical examples including cholesterol in animals, β-sitosterol
in plants, and ergosterol in fungi.[1,2] Other steroids
function as signaling molecules, such as corticosteroid and sex hormones.
Steroids have found wide pharmacological applications in, among others,
anti-inflammatory drugs, birth control, anesthetics, and cancer treatment,
and they are frequently abused to improve performance in work or sports.[3−7]
Figure 1
(A–F)
Steroids considered in this study. The groups on C-3
(“head”) and C-17 (“tail”) atoms are color-coded
as in the following figures. (G) Nomenclature of the tetracyclic steroid
core.
(A–F)
Steroids considered in this study. The groups on C-3
(“head”) and C-17 (“tail”) atoms are color-coded
as in the following figures. (G) Nomenclature of the tetracyclic steroid
core.The interactions of steroid hormones
with biological membranes
are relevant to many aspects of their functions. The classical action
of steroid hormones entails binding to intracellular steroid receptors,
which ultimately results in changes in gene expression.[8,9] To this end, steroids have to be internalized into cells. According
to the free hormone hypothesis, because of their hydrophobicity, steroids
are able to freely diffuse across lipid bilayers; however, megalin-dependent
endocytosis has been shown to be at least partly responsible for the
uptake of sex hormones and vitamin D3.[10,11] In addition to their classical genomic action, also nongenomic mechanisms
of action are known for certain steroids. This includes neuroactive
steroid compounds, which interact with neurotransmitter receptors
and modulate neuronal excitability, as well as steroid actions mediated
by membrane steroid receptors.[12−16] Further, the biosynthesis of steroid molecules may be influenced
by their interactions with lipid membranes.[17]Hence, rationalizing the metabolic functions of steroids requires
understanding of steroid–membrane interactions. The best-studied
steroids are probably the long-tailed sterols, such as cholesterol.
Using both experimental and computational approaches, the effects
of cholesterol on membrane structure, the conformations and partitioning
of cholesterol in bilayers, cholesterol–lipid interactions,
and cholesterol flip–flop transitions have been described in
great detail.[1,17−29] By contrast, the literature on other steroids is less abundant.
Partition coefficients have often been reported for octanol or bilayers
from cell extracts, while data on partitioning in model lipid bilayers
of controlled composition are limited.[30−38] Computational studies on the properties of steroids in bilayers
have usually been done for only a few steroids, some using short simulations,
coarse-grained models, or implicit solvent.[26,39−43]Here, we provide a comprehensive overview of the conformational,
energetic, and kinetic characteristics of steroids in a model lipid
membrane of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine
(POPC). We used all-atom molecular dynamics (MD) simulations to compare
the steroid–membrane interactions of 26 steroid compounds,
as quantified by their positions in the membrane and distributions
of tilt angles, as well as by their membrane/water partition coefficients,
and kinetics of flip–flop and membrane exiting (Figure ). To this end, we derived
force field parameters for 26 steroids, and we refined these parameters
against membrane/water partition coefficients obtained from isothermal
titration calorimetry (ITC) or the literature. The all-atom simulations,
complemented by calorimetric data, provide an atomic-level view of
the conformations, energetics, and kinetics of the steroids in a lipid
membrane.
Results and Discussion
Orientational Diversity of Steroids in the
Membrane
Steroids are overall hydrophobic because of their
common tetracyclic
hydrocarbon core (Figure G). However, they carry different functional groups at various
positions, which influence the orientation and position of the steroid
in the membrane (Figure A–F). For instance, the conformation of cholesterol is imposed
by the polar hydroxyl group at the C-3 atom and the aliphatic tail
attached to C-17 (Figure E). This specific configuration of functional groups imposes
a vertical orientation (i.e., parallel to the membrane normal), positioned
such that the aliphatic tail is solvated by the lipid tails, whereas
the hydroxyl group can form hydrogen bonds with the polar lipid head
groups or water.[26]Analogously to
cholesterol, we defined atoms C-3 and C-17 as “head”
and “tail” atoms, respectively, and derived the steroid
orientation in the membrane (Figure ). Figure presents the average of the cosine of the tilting angle between
(i) the steroid axis, connecting the head and tail atoms, and (ii)
the z-axis, normal to the membrane plane. Hence,
cos(α) = 1 denotes a vertical orientation in the membrane, with
the steroid core oriented as in cholesterol; cos(α) = 0 indicates
that the steroid is oriented horizontally, and cos(α) = −1
indicates an inverted vertical orientation, with the A-ring toward
the membrane core (see Figure G). Values between these three special cases denote a tilted
orientation of the steroid with respect to the membrane normal.
Figure 2
Typical simulation
system. Lipid head groups are shown in sphere
representation, lipid tails as gray sticks, and steroids as green
sticks. Water is omitted for clarity. The steroid axis (red dashed
line), membrane normal (black arrow), steroid tilt angle α,
and vertical positions of the steroid head and tail atoms relative
to the membrane center of mass (COM) are indicated.
Figure 3
Tilting of the steroids with respect to the membrane normal,
quantified
by the mean of the cosine of the tilting angle between the steroid
axis and the membrane normal (mean and SD over 500 ns and 14 steroid
molecules). The bar plots are colored according to the functional
group on (A) the C-3 (“head”) atom and on (B) the C-17
(“tail”) atom (see legend and Figure ). Values of cos(α) of 1, 0, and −1
indicate a vertical orientation (as in cholesterol), a horizontal
orientation, and an inverted vertical orientation, respectively. For
cholesterol, results from two different force fields are shown (GAFF
and Slipids, see the Methods section in the SI).
Typical simulation
system. Lipid head groups are shown in sphere
representation, lipid tails as gray sticks, and steroids as green
sticks. Water is omitted for clarity. The steroid axis (red dashed
line), membrane normal (black arrow), steroid tilt angle α,
and vertical positions of the steroid head and tail atoms relative
to the membrane center of mass (COM) are indicated.Tilting of the steroids with respect to the membrane normal,
quantified
by the mean of the cosine of the tilting angle between the steroid
axis and the membrane normal (mean and SD over 500 ns and 14 steroid
molecules). The bar plots are colored according to the functional
group on (A) the C-3 (“head”) atom and on (B) the C-17
(“tail”) atom (see legend and Figure ). Values of cos(α) of 1, 0, and −1
indicate a vertical orientation (as in cholesterol), a horizontal
orientation, and an inverted vertical orientation, respectively. For
cholesterol, results from two different force fields are shown (GAFF
and Slipids, see the Methods section in the SI).Figure demonstrates
that a steroid core alone does not impose any consensus orientation
in the membrane shared by all steroids. Instead, different steroids
adopt different orientations (Figure ), depending on the functional chemical groups (Figure , colored bars).
In addition, large standard deviations of cos(α) found for many
steroids suggest that they do not assume a single well-defined orientation
but instead a wide distribution of orientations (Figure , error bars). Indeed, the
complete cos(α) distributions presented in Figure S1 reveal wide orientational distributions of, for
instance, estrogen and corticosteroid hormones (see also β-estradiol
and hydrocortisone in Figure A,I). In some cases, the cos(α) distribution exhibits
multiple peaks, indicating that these steroids can adopt multiple
distinct orientations, as found for testosterone, 4-androstenedione
(Figure S1, Figure C,D), dihydrotestosterone, and levonorgestrel.
Figure 4
(A–J)
Simulation snapshots (fragments) of 10 representative
steroids. (A) β-estradiol, (B) estriol, (C) testosterone, (D) 4-androstenedione, (E) progesterone,
(F) pregnenolone, (G) pregnenolone sulfate, (H) pregnenolone acetate,
(I) hydrocortisone, and (J) β-sitosterol. Polar lipid head
groups are shown in ball and stick representation, lipid tails as
gray lines, and steroids as cyan sticks (only polar hydrogen atoms
are shown). Water molecules are omitted for clarity.
(A–J)
Simulation snapshots (fragments) of 10 representative
steroids. (A) β-estradiol, (B) estriol, (C) testosterone, (D) 4-androstenedione, (E) progesterone,
(F) pregnenolone, (G) pregnenolone sulfate, (H) pregnenolone acetate,
(I) hydrocortisone, and (J) β-sitosterol. Polar lipid head
groups are shown in ball and stick representation, lipid tails as
gray lines, and steroids as cyan sticks (only polar hydrogen atoms
are shown). Water molecules are omitted for clarity.A well-defined vertical orientation is observed
for steroids with
a clear distinction between the hydrophilicity of the head and tail
functional groups, respectively (Figure , left bars). These include primarily the
sterols with a hydroxyl head group and a long aliphatic tail (i.e.,
cholesterol, β-sitosterol, and dehydroergosterol, see also Figure J). Pregnenolone
and pregnenolone sulfate are likewise oriented vertically because
of a combination of a hydroxyl or negatively charged head group, respectively,
with a relatively hydrophobic tail group with limited capabilities
of forming hydrogen bonds (Figure F,G). On the other hand, steroids with identical or
similar head and tail groups tend to lie horizontally in the membrane,
such as β-estradiol with a hydroxyl group on each end, or 4-androstenedione
with a keto group on each end (Figure , middle bars; Figure A,D).The most frequent substitutions at the
head C-3 atom are hydroxyl
and keto groups (Figure A). The hydroxyl group can form hydrogen bonds with the ester moiety
of the POPClipid heads as well as with water molecules found in this
region. Therefore, a hydroxyl group in this position tends to favor
a vertical or tilted orientation, such that ring A points toward the
membrane surface. The only exceptions are the steroids where the tail
atoms also carry hydroxyl groups, leading to a horizontal or even
slightly downward-tilted orientation, as seen for estriol with two
hydroxyl groups on ring D as opposed to only one hydroxyl group in
ring A (Figure B).
On the other hand, a keto group on the C-3 atom leads to a slight
“inverted” tilt, such that ring A points to the membrane
core (Figure A, light
blue bars). This is rationalized by the fact that keto groups are
purely hydrogen-bond acceptors but not donors, leading to reduced
possibilities of forming hydrogen bonds. Therefore, when coupled with
a hydroxyl group at the steroid tail, the head tends to sink deeper
into the membrane than the tail, leading to an inverted orientation.
Of course, when a similar or more hydrophobic group is present at
the tail, such as in 4-androstenedione or progesterone, an average
horizontal orientation or noninverted tilted orientation is found
(Figure D,E). Corticosteroids,
which in addition to the hydroxyl-containing group on C-17 and the
keto group on C-3 have an additional polar group on atom C-11, similarly
adopt a horizontal orientation (Figure I).
Insertion Depth of Steroids in the Membrane
In addition
to the orientation, another major degree of freedom is given by the
vertical position of the steroid relative to the membrane center of
mass, that is, the insertion depth in the membrane (Figure ). Figure shows the mean vertical position ⟨Δz⟩ of the head and tail atoms, where Δz = 0 denotes the membrane center of mass (COM; Figure , dots and triangles).
As expected, because of their overall amphiphilic nature, many steroids
tend to localize below or near the ester groups of POPC (Figure , red horizontal
line), at the interface between the polar and apolar regions of the
membrane. However, the vertical position of the steroid is clearly
modulated by the chemical modifications: steroids that have no hydrogen-bond
donors sink deeper into the membrane than steroids that carry hydroxyl
groups. For instance, pregnenolone acetate with zero hydroxyl groups
is localized closer to the membrane COM than estriol with three hydroxyl
groups (Figure H,B).
Figure 5
Distance
Δz of the C-3 “head”
atoms (dots) and C-17 “tail” atoms (triangles) from
the membrane center of mass (mean and SD over 500 ns and 14 steroid molecules).
The horizontal blue, orange, and red lines represent the approximate
positions of the POPC choline, phosphate, and ester moieties, respectively.
The color indicates the chemical modification at the head and tail
atoms (see legend and Figure ).
Distance
Δz of the C-3 “head”
atoms (dots) and C-17 “tail” atoms (triangles) from
the membrane center of mass (mean and SD over 500 ns and 14 steroid molecules).
The horizontal blue, orange, and red lines represent the approximate
positions of the POPCcholine, phosphate, and ester moieties, respectively.
The color indicates the chemical modification at the head and tail
atoms (see legend and Figure ).Likewise, the vertical positions
of the individual head and tails
atoms are strongly modulated by the chemical modifications, in line
with the orientational diversity of steroids (previous section). For
instance, the negatively charged sulfate group resides higher in the
polar region of the bilayer, as it may form salt-bridges with the
POPCcholine group (Figure , two left dots; Figure G). Head and tail atoms with substitutions that contain
hydroxyl groups as hydrogen-bond donors are typically located around
the POPC ester group (Figure , red horizontal line and red to yellow symbols). Head and
tail atoms carrying long hydrophobic tails, acetate, or acetyl groups
tend to penetrate deeper into the membrane core at distances of ∼0.6,
0.75, and 0.9 nm from the membrane COM, respectively (Figure , darker blue symbols). Keto
groups cannot form hydrogen bonds with the POPC ester moiety but are
moderately polar, allowing them to locate within a wide range of distances
between 0.8 and 1.6 nm from the membrane COM (Figure , light blue symbols).Finally, we
note that although averages of the tilting angle and
depth in the membrane are instructive for detecting the general trends
discussed above, the conformation of a specific steroid is more accurately
captured by the respective distributions as shown for reference in Figures S1 and S2 in the Supporting Information.
Moreover, in this study, we discuss the role of the most common functional
groups at atoms C-3 and C-17, but other factors, such as the saturation
of the steroid core and modification at other atoms of the core, might
also affect the conformations of the steroid in the membrane.
Water/Membrane
Partitioning of Steroids
For each steroid,
we calculated the standard molar free energy of partitioning ΔGpart◦ between water and a POPC bilayer using potential of mean force (PMF)
calculations along the membrane normal. Free energies of partitioning
between different phases are often used to validate force field parameters.
We collected several available experimental water/POPC partition coefficients
from the literature[30,32,34,35] and, furthermore, measured the coefficients
for another 10 steroid compounds using ITC. Indeed, comparison of
the PMF-derived values (ΔGpart◦,sim) to the experimentally
derived values (ΔGpart◦,exp) suggested that partial atomic
charges based on quantum-mechanical calculations in vacuum, as often
used for force field parametrization, did not yield the correct polarity
for all steroids (Figure S3 in the Supporting
Information). Therefore, we refined the partial charges using complementary
quantum-mechanical calculations in solvent (see the Methods section
in the SI). With the refined force field
parameters for the steroids, we achieved reasonable agreement between
ΔGpart◦,sim and ΔGpart◦,exp (Figure ). The only exceptions
are a few relatively polar steroids (estriol, hydrocortisone, and
ethinylestradiol), for which ΔGpart◦,sim is
∼6 kJ mol–1 more negative than ΔGpart◦,exp.
Figure 6
Experimental (ΔGpart◦,exp) vs calculated (ΔGpart◦,sim) standard molar free energies of partitioning between water and
a POPC bilayer. Bars represent calculated standard errors. Experimental
standard errors were ≤0.5 kJ mol–1 (see Table S1). Experimental values for estrone, β-estradiol,
and ethinylestradiol from ref (35), for estriol from ref (34), for testosterone from ref (30), and for corticosterone
from ref (32) (triangles).
Experimental values obtained in this work shown as circles.
Experimental (ΔGpart◦,exp) vs calculated (ΔGpart◦,sim) standard molar free energies of partitioning between water and
a POPC bilayer. Bars represent calculated standard errors. Experimental
standard errors were ≤0.5 kJ mol–1 (see Table S1). Experimental values for estrone, β-estradiol,
and ethinylestradiol from ref (35), for estriol from ref (34), for testosterone from ref (30), and for corticosterone
from ref (32) (triangles).
Experimental values obtained in this work shown as circles.Figure A presents
ΔGpart◦ from water to POPC for all steroids
considered in this study. If available, experimental values were taken
from the literature (Figure , triangles) or determined by ITC in this study (Figure , circles). All other
values were taken from calculated PMFs. For an interpretation of the
ΔGpart◦ values, it is instructive to compare
ΔGpart◦ with the standard molar free energy
of partitioning between water and an apolar solvent. To this end, Figure B shows the water/cyclohexane
standard molar free energy of partitioning, ΔGpart◦,cyc, computed using thermodynamic integration (TI, see the Methods section
in the SI). As expected, ΔGpart◦,cyc strongly depends on the chemical modifications of the steroid. For
instance, long-tailed steroids strongly favor the apolar environment
(Figure B, light gray
bars), whereas charged steroids strongly favor the aqueous phase (Figure B, dark gray bars).
For all other steroids, the partitioning between water and cyclohexane
roughly correlates with the number of hydroxyl groups. Namely, steroids
without hydroxyl groups exhibit negative ΔGpart◦,cyc, indicating a preference for the apolar solvent (Figure B, bright yellow), while steroids
with only one hydroxyl yield mostly ΔGpart◦,cyc ≈
0 (Figure B, bright
orange). Steroids with two and three hydroxyl groups mostly prefer
water over cyclohexane, with corticosteroids, which have additional
polar groups (such as carbonyl/keto groups), showing the most positive
ΔGpart◦,cyc values (Figure B, orange and red). The number of carbonyl
groups on the steroid further modulates ΔGpart◦,cyc,
as indicated by the number of asterisks in Figure B. Compared with hydroxyl groups, however,
carbonyl groups have a smaller effect on ΔGpart◦,cyc owing to their lower polarity.
Figure 7
Free energies of partitioning (A)
from water to a POPC bilayer,
ΔGpart◦, and (B) from water to cyclohexane,
ΔGpart◦,cyc. Where available, experimentally
determined values are shown in part A (all steroids shown in Figure ); for the rest
of the steroids, PMF-derived values are shown. Values in part B were
obtained by TI. Error bars represent 95% confidence intervals for
the ITC-derived values, and standard errors for the PMF- and TI-derived
values. Bars without error bars represent experimental data from the
literature for which no errors were available.[30,32,34,35] The coloring
indicates the number of hydroxyl groups, long-tailed, or anionic steroids
(see legend). The number of asterisks on top of the bars in part B
indicates the number of carbonyl groups.
Free energies of partitioning (A)
from water to a POPC bilayer,
ΔGpart◦, and (B) from water to cyclohexane,
ΔGpart◦,cyc. Where available, experimentally
determined values are shown in part A (all steroids shown in Figure ); for the rest
of the steroids, PMF-derived values are shown. Values in part B were
obtained by TI. Error bars represent 95% confidence intervals for
the ITC-derived values, and standard errors for the PMF- and TI-derived
values. Bars without error bars represent experimental data from the
literature for which no errors were available.[30,32,34,35] The coloring
indicates the number of hydroxyl groups, long-tailed, or anionic steroids
(see legend). The number of asterisks on top of the bars in part B
indicates the number of carbonyl groups.Compared with the water/cyclohexane partition free energies,
water/membrane
ΔGpart◦ values are much less dependent on the
chemical modifications (Figure A). The only exceptions are long-tailed sterols that exhibit
more negative ΔGpart◦ than all other steroids (Figure A, dark gray), indicating
a strong preference for the membrane. For all other steroids, however,
despite their chemical diversity, most ΔGpart◦ values
vary within ∼10 kJ mol–1, corresponding to
variation of the partition coefficient by a factor of only ∼50.
This finding is rationalized by the steroid location at the interface
between the polar and apolar regions of the membrane. Here, upon changing
chemical modifications on the steroid ring, rearrangements of the
steroid’s orientation and depth are sufficient to maintain
hydrogen bonds of polar groups, while keeping large parts of the apolar
surface in contact with the apolar lipid tails. Consequently, chemical
modifications have a much smaller effect on ΔGpart◦ as compared with ΔGpart◦,cyc. This demonstrates that ΔGpart◦ is not explained by simple determinants such as the number of carbon
atoms or number of hydroxyl groups. Instead, the finer modulations
of ΔGpart◦ may depend on a combination of determinants,
including configurational flexibility and specific steroid–lipid
interactions, in addition to the overall hydrophobicity of the molecule.
Kinetics of Steroid Flip–Flop and Membrane Exit
To
obtain the kinetics of steroid transitions at a POPC membrane,
we computed transversal diffusion coefficients of the steroids (Figure S5) (see the Methods section in the SI). Rates for steroid flip–flop and for
exiting the membrane were estimated following Kramers’ theory
(Figure C, arrows).[44]Figure A presents flip–flop rates, kff, for all steroids considered in this study except for the
anionic steroids, revealing that kff for
steroids may span at least 9 orders of magnitude. Evidently, kff anticorrelates with the number of polar groups
in the steroid, in particular with the number of hydroxyl groups (Figure A, color code). The
number of carbonyl groups has only a smaller effect on kff (Figure A, asterisks). For steroids with zero or one hydroxyl group, including
the long-tailed structural steroids, we found large kff values in the rage 104–106 s–1, corresponding to rapid flip–flop
events on the time scale of microseconds up to hundreds of microseconds.
These values are in reasonable agreement with previous reports for
cholesterol flip–flop.[28,29] For steroids with two
or three hydroxyl groups, by contrast, kff spans the range 102–10–3 s–1, corresponding to flip–flop events on the
time scale of milliseconds up to many minutes. As discussed in the
Methods section in the SI, for the most
polar steroids we cannot exclude the possibility that the PMFs underestimate
the true flip–flop barrier. Hence, the flip–flop events
of the most polar steroids, such as aldosterone or hydrocortisone,
could also occur on the time scale of hours or even longer.
Figure 8
Rates (A) for
steroid flip–flop and (B) for exiting the
membrane. The coloring indicates the number of hydroxyl groups or
long-tailed steroids (see legend). The number of asterisks on top
of the bars in part A indicates the number of carbonyl groups. (C)
PMFs for four selected steroids along the membrane normal z, where z = 0 is the membrane center (see
legend for color code). Arrows illustrate the transitions for flip–flop
and membrane exiting.
Rates (A) for
steroid flip–flop and (B) for exiting the
membrane. The coloring indicates the number of hydroxyl groups or
long-tailed steroids (see legend). The number of asterisks on top
of the bars in part A indicates the number of carbonyl groups. (C)
PMFs for four selected steroids along the membrane normal z, where z = 0 is the membrane center (see
legend for color code). Arrows illustrate the transitions for flip–flop
and membrane exiting.The wide range of kff is readily
explained
by the wide range of water/cyclohexane partition free energies ΔGpart◦,cyc presented above (Figure B). Starting from a membrane-bound state (Figure C, z ≈
±1.2 nm), steroid flip–flop requires the transition across
the hydrophobic membrane core, which involves the removal of most
of the steroid–water contacts, similar to a transition from
water to cyclohexane. Hence, the free-energy cost for steroid flip–flop
correlates with the cost for translocating a steroid from water to
cyclohexane (Figure S4). More quantitatively, kff is dictated by the height of the free-energy
barrier in the transmembrane PMFs shown in Figure C. Here, the barrier height is the difference
between (i) the free energy at the hydrophobic core (Figure C, z ≈
0 nm) approximately given via ΔGpart◦,cyc,
and (ii) the free-energy minimum at the membrane-bound state (Figure C, z ≈ ±1.2 nm), approximately given via ΔGpart◦. Hence, kff correlates with exp[−β(ΔGpart◦,cyc – ΔGpart◦)], where β = 1/RT is the inverse temperature. Further, since ΔGpart◦ is similar among most steroids, kff is
primarily dictated by ΔGpart◦,cyc (compare Figure B with Figure A). Notable exceptions are
the long-tailed structural steroids; for these steroids, large negative
ΔGpart◦,cyc and ΔGpart◦ compensate
each other, leading to similar flip–flop rates as compared
to steroids with one or without any hydroxyl group (Figures A,B and 8A, light gray bars).In contrast with the wide range of kff values, the rates kexit for exiting
the membrane are highly similar among most of the steroids (Figure B). Most kexit values are in the order of 104 s–1 corresponding to rapid exit events
on the time scale of only hundreds of microseconds. Hence, steroids
bind to membranes in a highly transient manner. Exceptions are again
the long-tailed steroids that exhibit kexit in the rage 10–3–10–5 s–1, indicating that the long-tailed steroids
bind tightly to the membranes for minutes up to many hours, in excellent
agreement with experimental findings for cholesterol.[45] Since exiting the membrane requires overcoming the free
energy of membrane/water partitioning, kexit strongly correlates with exp(−βΔGpart◦) (compare Figure A with Figure B).
Hence, the similarity of kexit among the
nonstructural steroids is a consequence of the similarity of ΔGpart◦.
Kinetics of Membrane Permeation
Membrane permeation
requires (i) steroid entering the membrane, (ii) followed by at least
one flip–flop event, and (iii) membrane exiting in the opposite
direction as compared with membrane entry. We estimated rates for
membrane entry to be in the order of 101 s–1 for eukaryotic cellular environments, 10–1 s–1 for planar membranes with pronounced unstirred layers,
and 105 s–1 for large unilamellar
vesicles (LUVs) with a typical radius of 0.1 μm (see the Methods
section in the SI). Comparing kentry with kff and kexit shown in Figure A,B reveals that different transitions may
become limiting for steroid permeation (Table ). Namely, membrane permeation for structural
long-tailed steroids is limited by slow membrane exit (kexit). Permeation for steroids with 2 or 3 OH groups is
limited by flip–flop. Permeation of steroids with 0 or 1 OH
groups may be limited by entry (i.e., by unstirred layers) in cells
or planar membranes, and by exit in LUVs.
Table 1
Rate-Limiting
Steps (Membrane Entry,
Flip–Flop, or Membrane Exit) for Membrane Permeation Depending
on the Steroid Structure and the Type of Membrane
cell
planar
membrane
LUV (radius 0.2 μm)
long-tailed
exit
exit
exit
0–1 OH groups
entry
entry
exit
2–3 OH groups
flip–flop
flip–flop
flip–flop
In addition, the ratio kff/kexit determines the average number of flip–flop
events before the steroid exits the membrane, and consequently, kff/kexit further
determines the probabilities for the two possible directions of membrane
exit. A rate ansatz (see the Methods section it the SI) shows that the probability for a full permeation event
per membrane entry event is given bywhile the probability that the steroid
returns
to its original water compartment is Pret = 1 – Pperm. In the case of kff ≫ kexit, the steroid typically carries out multiple flip–flop events
before its exit with equal probability in each direction (Pperm ≈ Pret ≈ 1/2). By contrast, in the case of kff ≪ kexit, the steroid will mostly return to its original water compartment
before the first flip–flop event occurs (Pperm ≈ 0, Pret ≈
1), which may strongly reduce cellular uptake rates (see discussion
below).Among all steroids, kff/kexit varies in the range 10–9–1010, and among the nonstructural steroids in
the range 10–9–103, demonstrating
that the probability
for permeation after membrane binding, Pperm, greatly varies. Specifically, for steroids without hydroxyl groups
we obtain Pperm ≈ 1/2. For steroids with one hydroxyl group, Pperm drops to values between 0.1 and 0.45. For steroids
with two or three hydroxyl groups, Pperm may take values as low as 10–10, demonstrating
that many membrane binding events are needed before the most polar
steroids permeate the membrane.
Significance of Membrane
Permeation for Steroid Function
At first sight, the wide
range of flip–flop rates might seem
at odds with the textbook assertion that steroid hormones pass biological
membranes “freely” or “unhindered”. Experimentally,
it has indeed been observed that membrane crossing of the classical
steroid hormones is a fairly rapid process. For instance, the movement
of intracellular mineralocorticoid receptors after steroid binding
into the cell nucleus can be detected within 3 min after extracellular
aldosterone application.[46] Furthermore,
nonclassical effects such as an aldosterone-induced rise of intracellular
Ca2+ concentration have been observed even within seconds.[47,48] In either case, complete membrane traversal of aldosterone is necessary,
as the presumed target molecules of aldosterone, whether they be mineralocorticoid
receptors or nonclassical targets, are located intracellularly. The
rapid action of aldosterone is particularly remarkable in this respect,
as our simulations indicated that the flip–flop rate of aldosterone
is the lowest among all steroids tested (apart from the anionic, sulfonated
steroids that would require either protonation or an aqueous defect
to flip–flop).To resolve the apparent discrepancy between
(i) experimentally observed rapid responses of cells to steroid exposure
and (ii) computationally derived slow flip–flop rates for polar
steroids, it is important to notice that such experiments are typically
conducted at constant steroid concentration in the bulk solvent. Consequently,
because of the hydrophobicity of the steroids, the steroids are greatly
enriched in the outer membrane leaflet as quantified by the membrane/water
partition coefficients. More quantitatively, using the ΔGpart◦ definition shown in the Methods section of the SI, the partition free energies, ΔGpart◦, of −20 to −35 kJ mol–1 (Figure ) suggest that steroids
are enriched in the membrane by a factor between 75 and 30 000
as compared with the bulk. This enrichment largely compensates for
low flip–flop rates, thus leading to high permeabilities and
hence to cell entry of a significant number of steroid molecules within
seconds. As such, rapid entry of steroids into the cell is, for polar
steroids, not a consequence of “unhindered” diffusion
over the membrane, but instead a consequence of steroid enrichment
in the outer membrane leaflet.
Partitioning between the
Extracellular Bulk Solution and the
Plasma Membrane Can Be an Important Determinant of Steroid Potency
Several steroids are known to influence the function of transmembrane
proteins. In most cases where evidence has been obtained, e.g., in
the metabotropic CB1 receptors,[49] the bacterial
channel GLIC[50] and the ionotropic GABAA,[51,52] nicotinic ACh,[53] and NMDA receptors,[54,55] it has been shown that steroids
interact with these targets on transmembrane helices. For many other
steroid receptor transmembrane proteins, a binding site in the transmembrane
region also seems likely, although the location of the binding site
has not yet been established with certainty. To reach their target,
steroids supplied with the bloodstream must first partition into the
membrane and then, by lateral diffusion, reach the transmembrane receptors.
Therefore, the partitioning of the steroids into the membrane is an
important determinant of the interaction and partly determines the
kinetics of steroid binding to transmembrane receptors.[56]For instance, the effects of the structurally
very similar steroidspregnenolone sulfate and dehydroepiandrosterone
sulfate (DHEAS) have been studied in GABAA receptors and
TRPM3 channels. While in TRPM3 channels, the EC50 for pregnonolone
sulfate is 13–25 times lower than for DHEAS,[57] in GABAA receptors, DHEAS has been reported
to be approximately equally efficient in inhibiting Cl– currents through these receptors.[58] Because
our results indicate that the concentration of pregnenolone sulfate
in the plasma membrane is about 40 times larger than the DHEAS concentration
(at the same bulk concentration in the extracellular solution), these
findings indicate that the binding site of steroids on TRPM3 channels[59] is only poorly discriminating between pregnenolonesulfate and DHEAS. On the other hand, our data suggest that membrane-bound
DHEAS has stronger effects on GABAA compared to pregnenolonesulfate. This example demonstrates that a quantitative understanding
of steroid–membrane interactions, as derived in this work,
is needed for a detailed interpretation of the experimentally observed
receptor response.
Functional Consequences of the Position and
Orientation of Steroids
in the Membrane
Before binding to a proteinaceous binding
site on transmembrane segments, steroids must adopt an orientation
and an insertion depth that matches the binding site. In addition,
if the binding site is located at the intracellular membrane leaflet,
at least one flip–flop event is required for binding. Previously,
these requirements have complicated a molecular interpretation of
experiments. For instance, if a certain steroid shows no (or weak)
activity on a receptor, it remains unclear whether (i) the affinity
for the steroid is low, (ii) steroid binding does not trigger a relevant
conformational transition of the protein, or (iii) whether the steroid
does not reach the binding site because of unfavorable orientations
adopted in the membrane. Our simulations showed that most (but not
all) steroids adopt wide conformational distributions (Figures S1 and S2), in terms of both steroid
orientation and insertion depth. Hence, unfavorable conformations
may, for most steroids, be excluded as an underlying reason for weak
steroid activity.To illustrate this, it is instructive to pick
two extreme examples: Pregnenolone acetate is completely inactive
on TRPM3 channels, while pregnenolone sulfate is a strong agonist.[57,59] Pregnenolone sulfate is predominantly oriented perpendicular to
the plasma membrane, whereas pregnenolone acetate has a strong preference
for the orientation parallel to the phospholipid bilayer, but also
samples other orientations. Also, these molecules can be found
at various depths inside the membrane. These observations indicate
that pregnenolone acetate is incapable of activating TRPM3 channels
not only because of its unfavorable orientation and position within
the membrane. Rather, because this substance does not have any appreciable
effect on TRPM3,[59] either this steroid
cannot bind to TRPM3 proteins, or its binding does not induce channel
opening. For agonist activity on TRPM3 channels, either bulky or negatively
charged (or both) head groups on the C3 position of pregnenolone appear
to be indispensable.[59] More generally,
though, the observed rapid and wide-ranging movements observed for
many of the steroids indicate that these molecules are capable of
approaching and docking to membrane-embedded binding sites regardless
of their average orientation. Unfavorably oriented binding sites,
however, would exhibit reduced rates of binding.
Conclusions
The broad spectrum of steroid compounds encompassed by this study
provides a global view of the range of steroid–membrane interactions,
highlighting similarities and differences among the family of steroids.
Although steroids share a common structural core, they reveal greatly
different conformational ensembles in a lipid membrane, imposed by
the chemical modifications on the tetracyclic steroid core. Namely,
certain steroids adopt well-defined conformations, by orienting strictly
either parallel or normal to the membrane, whereas other steroids
reveal high orientational flexibility, hence adopting wide conformational
ensembles.For steroids that are neither long-tailed nor anionic,
free-energy
calculations revealed that the cyclohexane/water partition coefficients
vary by 16 orders of magnitude. By contrast, membrane/water partition
coefficients are surprisingly similar, varying by only 2–3
orders of magnitude. Further, we derived the kinetics of steroids
in membranes, that is, the rates of steroid flip–flop and membrane
exiting. We found that rates of membrane exiting are remarkably similar
among many steroids, whereas flip–flop rates vary by many orders
of magnitude. These trends for steroid flip–flop and exiting
rates are rationalized by the trends of cyclohexane/water and membrane/water
partition coefficients.Exceptions are given by the long-tailed
steroids such as cholesterol
or dehydroergosterol, as well by the anionic steroids such as pregnenolonesulfate; namely, long-tailed steroids exhibit greatly increased membrane
affinity and greatly decreased membrane exiting rates, but they display
similar flip–flop rates compared to most other steroids. Anionic
steroids exhibit greatly reduced flip–flop rates because
flip–flop would either involve translocation of the anionic
group across the hydrophobic core or require protonation of the steroid;
however, anionic steroids show similar membrane/water partitioning
compared to most other steroids.This study provides quantitative
understanding of steroid–bilayer
interactions, relevant to steroid permeation across the bilayer, as
well as for steroid binding to transmembrane receptors and to other
membrane proteins. The topologies for all steroids with refined partial
atomic charges are available for download at https://biophys.uni-saarland.de/steroids.html.
Authors: Annette Hammes; Thomas K Andreassen; Robert Spoelgen; Jens Raila; Norbert Hubner; Herbert Schulz; Jochen Metzger; Florian J Schweigert; Peter B Luppa; Anders Nykjaer; Thomas E Willnow Journal: Cell Date: 2005-09-09 Impact factor: 41.582
Authors: A Nykjaer; D Dragun; D Walther; H Vorum; C Jacobsen; J Herz; F Melsen; E I Christensen; T E Willnow Journal: Cell Date: 1999-02-19 Impact factor: 41.582
Authors: Ralf M Losel; Elisabeth Falkenstein; Martin Feuring; Armin Schultz; Hanns-Christian Tillmann; Karin Rossol-Haseroth; Martin Wehling Journal: Physiol Rev Date: 2003-07 Impact factor: 37.312
Authors: W F Drew Bennett; Justin L MacCallum; Marlon J Hinner; Siewert J Marrink; D Peter Tieleman Journal: J Am Chem Soc Date: 2009-09-09 Impact factor: 15.419
Authors: Siewert J Marrink; Valentina Corradi; Paulo C T Souza; Helgi I Ingólfsson; D Peter Tieleman; Mark S P Sansom Journal: Chem Rev Date: 2019-01-09 Impact factor: 72.087
Authors: Thomas S C Ng; Huiyu Hu; Stefan Kronister; Chanseo Lee; Ran Li; Luca Gerosa; Sylwia A Stopka; Danielle M Burgenske; Ishaan Khurana; Michael S Regan; Sreeram Vallabhaneni; Niharika Putta; Ella Scott; Dylan Matvey; Anita Giobbie-Hurder; Rainer H Kohler; Jann N Sarkaria; Sareh Parangi; Peter K Sorger; Nathalie Y R Agar; Heather A Jacene; Ryan J Sullivan; Elizabeth Buchbinder; Hannes Mikula; Ralph Weissleder; Miles A Miller Journal: Sci Adv Date: 2022-04-29 Impact factor: 14.957