1. Introduction
Lipid membranes provide physical barriers that control the exchange and flow of substances in and out of living cells [
1,
2]. Unlike polar and charged molecules such as ions, which are energetically unfavorable to dissolve in the hydrophobic core of a lipid membrane [
3,
4], small, nonpolar gas species, such as O
2, NO, and CO
2, may diffuse readily through pure lipid bilayers. Although this mode has long been accepted as the main mechanism for gas transport across the cellular membranes [
5,
6,
7], some biological membranes exhibit surprisingly low gas permeabilities [
8,
9]. Examples include the gastric parietal chief cells [
10], erythrocytes [
11,
12], and fiber cells of the eye lenses [
13]. These reports evoke the question as to what degree the lipid composition can determine the gas permeability of a membrane. Distinct gas permeation rates have been reported for membranes composed of different lipid constituents [
13,
14,
15,
16,
17,
18,
19,
20]. Membrane channels, e.g., aquaporins and Rhesus (Rh) glycoproteins, are also documented to facilitate gas transport across the membrane [
21,
22,
23,
24,
25,
26,
27,
28], but their physiological significance in this regard remains disputed [
29,
30], mainly due to experimental limitations [
31,
32]. Demonstrating that the lipid composition can modulate gas permeability is the first step in establishing the physiological significance of membrane proteins in the overall gas exchange in living cells.
Given its microscopic results, molecular dynamics (MD) simulation can offer insights into the delivery and transport of molecules across the membranes at the atomic level. Physical properties, such as molecular partitioning and permeability coefficients can also be predicted using MD [
3,
33,
34,
35]. For years, lipid membranes have been simulated with only one glycerophospholipid type, such as POPC, DOPC or POPE, which are highly fluid under ambient conditions. In recent years, all-atom simulations of membranes with heterogeneous lipid compositions containing multiple glycerophospholipid species, as well as cholesterol (CHL) and sphingomyelins (SM) have been performed [
36,
37,
38].
CHL and SM (
Figure 1) are key lipids for structural integrity and morphology of mammalian membranes, and perform other regulatory functions [
2,
39]. They are abundant in typical mammalian plasma membranes, including erythrocyte and lens membranes, which are reported to have low gas permeability [
40]. In those membranes, CHL:phospholipid ratios can range from 1:1 to 4:1, where SM constitutes
% of the lipid content [
41,
42]. CHL is enriched in the liquid-ordered phase of the membrane [
43,
44] and also known to induce lipid domain formations [
45,
46,
47]. The clustering between SM with CHL has been implicated to the formation of liquid, highly-ordered domains, known as rafts, which have been proposed to be involved in cell signaling [
48,
49,
50,
51].
The effects of CHL on membrane permeability have been probed by MD simulations. Previous studies with extensive simulations and analysis of membranes with high CHL content (>30 mole%) predicted a reduced water permeability [
52,
53]. Other studies also found apparent reduction in the partitioning of small molecules and gases in membranes with CHL relative to CHL-free membranes [
54,
55,
56,
57].
The present study examines the effects of lipid composition heterogeneity, particularly the presence of high CHL and SM, on gas permeability by explicitly simulating O
2 or CO
2 molecules in membranes. The sets of independent simulations comprise CHL-free (pure) bilayers of POPC, SM or DPPC, binary compositions of POPC:CHL, SM:CHL, DPPC:CHL, POPC:SM and POPC:DPPC, and ternary compositions of POPC:PSM:CHL and POPC:DPPC:CHL. SM is represented by the palmitoylsphingomyelin (PSM) (
Figure 1). The fully saturated DPPC (dipalmitoylphosphatidylcholine) lipids account for the effects of lipid saturation on gas permeability. We explicitly calculated membrane partitioning free energy profiles and permeability coefficients of the gas molecules from the equilibrium MD trajectories. The results show clearly the dependence of the calculated gas permeability on the lipid composition; they demonstrate that high CHL content reduces solubility of gas molecules in the membrane. Reduced gas permeability is pronounced in the simulated POPC-free PSM membranes, due to slow lipid dynamics and gel-liquid phase behavior under physiological body temperature (310 K).
2. Materials and Methods
2.1. Simulation Systems
The simulated membrane systems are summarized in
Table 1. They comprise mixtures of POPC:PSM:CHL or POPC:DPPC:CHL lipids. The membrane patches were prepared using CHARMM-GUI [
58]. The membranes were solvated with TIP3P water and ionized with 0.2 M NaCl. Structures and interactions of lipids (POPC, PSM and CHL), water, ions and gases were described by the CHARMM36 force field parameter set [
59,
60,
61,
62]. The initial dimension of each membrane plane was 100 Å × 100 Å.
Depending on the membrane system, a simulation was performed to equilibrate the system in the absence of gas molecules for tens to a few hundred nanoseconds. The area of the plane of each system was monitored and the simulation was continued until it became steady. To explicitly describe the partitioning and permeation of gases, O2 or CO2, 125 copies of each species were added to the equilibrated systems. The molecules were initially placed in the aqueous solution. We refer to this type of simulations as “flooding” simulations.
2.2. Simulation Protocols
All simulations were performed using NAMD2 [
63,
64] with the CHARMM36 force field [
59,
65] and a time step of 2 fs. All of the simulations were performed under NPT ensemble with the flexible cell under the constant
ratio, with the
z axis representing the membrane normal. The periodic boundary condition (PBC) was used throughout the simulations. To evaluate long-range electrostatic interactions in PBC without truncation, the particle mesh Ewald (PME) method [
66] with a grid density of 1/Å
3 was used. The temperature was maintained at 310 K by Langevin dynamics [
67] with a damping coefficient
of 1/ps. The modified Nosé-Hoover method [
67,
68], in which Langevin dynamics was used to maintain the pressure at 1 atm with a piston period of 200 fs. All bonds involving hydrogen atoms were kept rigid using the SHAKE algorithm [
69]. The cutoff for van der Waals interactions was set at 12 Å.
2.3. Membrane Partitioning and Permeability of Gases
The partitioning free energy profiles (
) and membrane permeability coefficients (
) of O
2 or CO
2 were calculated using the last 175 ns part of trajectories for the 100% POPC membrane systems, and the last 400 ns parts of trajectories for the pure PSM, 0:50:50 POPC:PSM:CHL, and 0:50:50 POPC:DPPC:CHL systems. For the other membrane systems (50:0:50, 35:0:65, 50:50:0, 33:33:33 and 25:25:50 POPC:PSM:CHL, and 50:50:0 and 33:33:33 POPC:DPPC:CHL), which were simulated for 325 ns, we used the last 250 ns for the analysis.
profiles representing the occupancy of the gas molecule was expressed as:
with
and
representing occupancy of the gas molecule at position
i and in the aqueous solution, respectively. The
VolMap plugin of VMD was used to calculate the occupancy coefficients, which were then projected onto a one-dimensional (
z) axis (membrane normal) using the
Volutil plugin.
was determined from the cumulative profiles of the number of permeation events (
N) from either the extracellular side or the intracellular side over a time period (
) using linear regression. It is in the unit of cm/s and expressed as:
where
m is the slope of
N over
,
is the concentration of the gas molecule in the aqueous solution, and
A is the area of the
plane of the membrane.
was determined from the average number of the gas molecules outside the membrane normalized by the number of water molecules in the same region.
The gas molecules were considered to be in the extracellular solution when they were at least 3 Å above the center of mass of the choline moiety of the lipid head groups, and within the membrane when they were at least 3 Å below the center of mass of the choline groups.
3. Results
3.1. Variation of Membrane Structure by Lipid Composition
3.1.1. Occupancy Profiles
We first monitored the changes in membrane structure by calculating the atomic profiles of its constituents including water and lipids (
Figure 2).
In all the simulated membranes, the midpoint of the lipid bilayer (
) corresponds to the lowest occupancy region. In the pure POPC bilayer, as well as in the 50:50 POPC:PSM and POPC:DPPC bilayers (
Figure 2A, G and J), the highest occupancy regions correspond to the head group regions located at
Å, inferring a membrane thickness of ∼44 Å. Coincidentally, these points are at the intersection of the water and lipid occupancy profiles, also marking the lipid-water interfaces.
Having simulated the POPC membranes with a high content of CHL (50 and 65 mole%) and without it, we found that CHL significantly alters the membrane profiles (
Figure 2A vs. B and C). In the presence of high CHL, the maximum density along the membrane normal spans from the head group regions to the lipid tails centered at
Å. CHL molecules are localized beneath the phospholipid head groups. Their positioning decreases the depth of water penetration into the membrane, as indicated by the observed dehydration between
and
Å, and between
and
Å.
For the pure PSM bilayer, the lipid-water interfaces center at
Å, thickening the membrane by ∼4 Å (
Figure 2D). The membrane appears to be more condensed than the CHL-free POPC, POPC:PSM and POPC:DPPC bilayers. Its average area-per-lipid is ∼51 Å
2, whereas those of the CHL-free POPC, POPC:PSM and POPC:DPPC bilayers are ∼65, 59, and 62 Å
2, respectively. The maximum lipid density of the pure PSM bilayer plateaus to values between
and
Å, and between
and 20 Å, respectively (
Figure 2D). For the 50:50 PSM:CHL and DPPC:CHL bilayers, the distance between the two lipid-water interfaces increases to about
50 Å. However, the PSM:CHL one is more condensed than the DPPC:CHL one by ∼15% (
Figure 2E-F). Similar to the 50:50 and 35:65 POPC:CHL bilayers, a high CHL content decreases the hydration in both PSM:CHL and DPPC:CHL bilayers. This same behavior is also apparent in the 33:33:33 POPC:PSM:CHL and POPC:DPPC:CHL bilayers (
Figure 2H, I and K).
3.1.2. Lipid Ordering
The lipid molecules in the pure POPC bilayer as well as those in the other CHL-free bilayers appear disordered and highly fluid (
Figure 3). Those in the simulated CHL-containing bilayers, on the other hand, are conformationally ordered and structurally extended. Uniquely, the pure PSM bilayer resembled more like a ripple phase (between gel and liquid phases). Its shape visibly appears undulated and its lipid molecules appear clustered into small domains (
Figure 3).
To quantify the conformational dynamics of the lipid molecules, we calculated the deuterium order parameters (
) for the aliphatic chains of POPC and DPPC, the sphingosine and acyl chains of PSM (
Figure 4).
An
value of 0.5 indicates that the lipid molecules are ordered and that their tails are conformationally extended (not tilted). A value of 0 means that the lipids are highly disordered. Among the simulated membranes, the pure POPC bilayer is the most disordered membrane with the maximum
values of ∼0.2 for both palmitoyl and oleoyl chains (
Figure 4A). Lipids in the simulated CHL-containing bilayers are highly ordered with maximum
values approaching 0.4 for POPC lipids and above 0.4 for PSM and DPPC lipids. In the pure PSM bilayer,
values are slightly above ∼0.3, suggesting appreciable tilting of some lipid molecules, forming an undulated membrane. The lipid order is reduced in the 50:50 POPC:PSM bilayer with the drop of the maximum
values of the PSM chains to 0.275 (
Figure 4B). In the 50:50 POPC:DPPC bilayer, the
values are ∼0.2 (
Figure 4C).
To confirm the tilting of the lipid molecules, we also calculated the tilt angles (
) of the lipid tails (using carbon atoms) with respect to the membrane normal. In the absence of CHL, lipid tails adopt a broad range of orientations with
spanning from 0 to 90°; the distribution peaks are ∼25° for POPC and DPPC lipids and ∼20° for PSM lipids (
Figure 5).
This reflects the conformational heterogeneity of the lipid molecules, showing some are highly tilted or structurally bent. In the simulated bilayers with CHL, lipid tails become significantly less tilted; the
values range between 0 and 90° with the peaks at 10°, consistent with increasing lipid order. For the pure PSM bilayers, although the distribution peaks of
are ∼10°,
spreads from 0 to 70° (
Figure 5B), confirming high degrees of tilting in some lipid molecules.
3.2. Membrane Partitioning and Permeability of Gas Molecules
3.2.1. Pure POPC and Binary POPC:CHL Bilayers
The changes in membrane structure and dynamics by lipid compositions can have profound effects on the membrane partitioning and permeability of gas molecules. Using the equilibrium flooding MD trajectories, we directly calculated the permeability coefficients (
) and partitioning
profiles of O
2 and CO
2 (
Table 2,
Figure 6 and
Figure 7). For the pure POPC bilayers, the last 175 ns of the 225-ns simulations were used for the calculations. The calculated
values are ∼12 and 16.6 cm/s for O
2 and CO
2, respectively (
Figure 6A-B). The calculated
profiles indicate the highest accumulation of O
2 and CO
2 to be in the midplane of the membrane, corresponding to free energy minima (
) of
kcal/mol for O
2 and
kcal/mol for CO
2 with respect to the bulk solution. The free energy maxima (
) of ∼0.5 kcal/mol, indicating the lowest occupancy or solubility regions of the gas molecules, are located in the headgroup regions. Thus, according to the
profiles, the free-energy barriers of diffusing from the center of the membrane to the aqueous solution (
) are 2.5 kcal/mol for O
2 and 1.25 kcal/mol for CO
2 (
Figure 7A and C).
For the simulated bilayers with 50 or 65 CHL mole%, the last 250 ns of the 325-ns simulations were used in
and
calculations. O
2 and CO
2 remain accumulated in the membrane relative to the aqueous solution, and
also remains located in the midplane of the membrane. The incorporation of CHL molecules in the membrane decreases the occupancy of the gas molecules in the tail regions, as indicated by higher
values, peaked at
Å (
Figure 7A). In the pure POPC bilayers, the
value drastically decreases as the gas molecule diffuses from the head group region towards the center of the membrane. This decrease in membrane solubility, however, does not decrease O
2 permeability. At 50 CHL mole%,
plateaus at ∼0 kcal/mol, so
for O
2 is ∼0.5 kcal/mol lower than in the pure POPC bilayer, which results in a higher
value of 16 cm/s. At 65 mole%,
increases to 0.5 kcal/mol, forming new local
at ±18 Å. Still,
is about the same as that in the pure POPC bilayer (
Figure 6A), as reflected by a
value of 10 cm/s, which corresponds to a 16 % decrease.
In contrast to O
2, the presence of high CHL contents decreases CO
2 permeability (
Figure 6B). The calculated
values are ∼10 cm/s at 50 mole%, and ∼6 cm/s at 65 mole%.
are ∼0.25 kcal/mol at 50 mole%, and ∼1 kcal/mol at 65 mole%, becoming the new global
(
Figure 7C).
3.2.2. Special Cases of Pure PSM and Binary PSM:CHL Bilayers
For the PSM bilayers with 0 and 50 CHL mole%, the last 400 ns of the 525-ns simulation trajectories were used to calculate the
and
profiles. The solubility of the gas molecules remain highest at the midplane of the membrane. In the pure PSM bilayers, no local
is formed in the tail regions despite substantial alterations of membrane structure and lipid dynamics compared to the pure POPC bilayers.
remains ∼2.5 kcal/mol for O
2, and 1.5 kcal/mol for CO
2, as in the pure POPC bilayers (
Figure 7B and D). However, gas permeability in the pure PSM bilayers becomes appreciably smaller (by a factor of 10) than in the pure POPC and binary POPC:CHL bilayers. The calculated
values are ∼1 cm/s for both O
2 and CO
2 (
Figure 6A-B).
At 50 CHL mole%, the calculated for O2 is ∼2 cm/s which is two times higher than CHL-free membranes. It is still at least five times lower than any of the simulated POPC bilayers. With the at the tail regions,
is ∼3 kcal/mol (
Figure 7B). For CO
2, the calculated
value is ∼1 cm/s (
Figure 6B), while
increases to ∼2.75 kcal/mol (
Figure 7C).
3.2.3. POPC:PSM:CHL and POPC:DPPC:CHL Bilayers
POPC contains an unsaturated fatty chain and a saturated one, whereas PSM contains a saturated fatty chain and a sphingosine chain in the trans conformer. The saturation of lipid tail could modulate the permeation of gas molecules, as the pure PSM bilayers appear to resemble a gel phase under the simulated temperature of 310 K. We explored this potential effect by simulating CO2 dynamics in a new set of membrane systems constituted of either POPC and PSM or POPC and DPPC (fully saturated). This new set included 50:50:0, 33:33:33 and 25:25:50 POPC:PSM:CHL, and 50:50:0 and 33:33:33 POPC:DPPC:CHL bilayers.
Similar to the other simulated systems, the highest solubility region for the gas molecules is the center of the membrane. Like the simulated CHL-free bilayers, no local
is apparent in the tail regions.
are 8.4 cm/s and 14.3 cm/s in the 50:50 POPC:PSM and POPC:DPPC bilayers, respectively (
Figure 6B-C), in correlation with the differences in lipid order and packing density. At 33 and 50 CHL mole%, CO
2 occupancy is reduced in the tail region but to a lesser degree than the 50:50 PSM:CHL bilayer. CO
2 permeability was also higher than in the pure PSM and 50:50 PSM:CHL bilayers.
in the 33:33:33 POPC:PSM:CHL and POPC:DPPC:CHL bilayer were 6.5 cm/s and 7 cm/s, respectively (
Figure 6B-C), in correlation with lipid occupancy profiles (
Figure 2H and K). The value in the 25:25:50 POPC:PSM:CHL bilayer was 4.3 cm/s.
We also simulated CO
2 diffusion in a DPPC bilayer with 50 CHL mole% and analyzed its last 400 ns trajectory for
and
calculations. The calculated
value was ∼3 cm/s (
Figure 6C), which is lower than those in the simulated POPC-containing bilayers but higher than the pure PSM and 50:50 PSM:CHL bilayers.
was ∼2.25 kcal/mol, which is 0.5 kcal/mol lower than in the 50:50 PSM:CHL bilayer (
Figure 7E).
3.3. Diffusivity of Gas Molecules
Following the inhomogeneous solubility diffusion model [
3,
75,
76,
77], membrane permeability of a gas molecule is modulated by its solubility or partitioning in the membrane, its diffusivity, and the membrane thickness.
is expressed as:
where
is the local partitioning free energy and
is the local translational diffusion coefficient in membrane segment (d
z).
and
corresponds to the upper and lower membrane part for which diffusivity is calculated, respectively; the distance resembles the membrane height, denoted as
in
Table 2.
is the partitioning or solubility coefficient of a gas molecule with respect to the aqueous solution and can be calculated from the partitioning
profiles (
Figure 7). With the calculated
, the overall diffusion coefficients of a gas molecule in the membrane (
) can be approximated to:
For all of the simulated POPC containing bilayers (i.e., pure POPC, POPC:CHL binary, and POPC:PSM:CHL and POPC:DPPC:CHL ternary bilayers), as well as for 50:50 DPPC:CHL, the decrease in the permeability of O
2 and CO
2 is resulted by the decrease of their membrane solubility. The estimated
values for O
2 and CO
2 in these membranes are similar, ranging from
to
cm
2/s (
Figure 8), which is about 10 times slower than their diffusion in water (
cm
2/s).
In the 50:50 PSM:CHL bilayers,
are
cm
2/s (
Figure 8A-B). Gas diffusion is even slower in the pure PSM bilayers with
values of
cm
2/s (
Figure 8A-B), which is at least 4 times slower than those in the simulated POPC-containing bilayers.
4. Discussion
The present MD study examines the extent to which changes in the lipid compositions, such as the CHL and SM contents and the degree of lipid saturation, influence the permeability of bioactive O2 and CO2 gases across the membrane. Our results shows that increasing CHL content results in an increase in lipid order, packing density and membrane thickness, in correlation with a reduced gas solubility in the membrane. The degree of lipid saturation (i.e., presence of POPC, PSM and/or DPPC) also contributes to the rate of gas permeation. Among the simulated bilayers, gas permeability is slowest is a pure PSM bilayer ( cm/s), and the incorporation of monosaturated POPC lipids increases the permeability by several folds.
We note that our simulation used a temperature of 310 K (body temperature). According to an X-ray diffraction study, the ripple-fluid phase transition temperature of the PSM bilayer is at 314 K [
78]. This explains the observed undulated membrane structure at the simulated temperature (Fig.
Figure 3). This also results in the dynamics of lipid molecules in the pure PSM bilayer to be slower than those in the simulated POPC or CHL bilayers, which are either in a liquid-ordered or liquid-disordered phase or coexist in both phases [
44,
79]. Low membrane fluidity, together with tight packing of PSM lipids, rationalizes the appreciably lower calculated
and
values for O
2 and CO
2 in the pure PSM bilayers. The apparently larger variations of the
profiles in the PSM bilayer than in the CHL-free POPC, POPC:PSM and POPC:DPPC bilayers (
Figure 7) are most likely due to the coexistence of solid and liquid lipid domains in the ripple phase.
We also show that the presence of CHL in the membrane limits the permeability of CO
2 more significantly than O
2 (
Figure 6A-B). These findings agree with a recent MD study [
57], observing only 23% reduction of O
2 permeability at 62.5 CHL mole%. CHL partitioning in the membrane was also found to strengthen the hydrophobic lipid-lipid contacts [
55], thereby tightening the membrane. This may make CO
2, which has a larger volume, more difficult to diffuse than O
2. This observation also explains the lower
value for CO
2 than O
2, as CO
2 shows a greater decrease in its solubility in the lipid-tail region occupied by CHL molecules (
Figure 7A and C). Since the pure POPC and other simulated CHL bilayers have similar
vlaues (
Figure 8), gas permeation through fluid bilayers still follows the Meyer-Overton rule, which predicts their permeability from their solubility [
29].
In all of our simulated bilayers, gas concentration is highest in the midplane of the membrane.
barriers for the entry of gas molecules from the aqueous solution into the membrane is negligibly small. It is the diffusion of gas molecules from the midplane to the solution that constitutes the main barrier of their permeation. These features could play vital roles in a living cell by creating a local concentration gradient of gases that are substrates of many biochemical reactions taking place within the membrane. A notable example is the catalysis of O
2 to water by cytochrome
c oxidases of which the entrance of the O
2 access pathway is located near the center of the membrane [
80].
Many aspects potentially controlling membrane permeability remain to be explored, and this study focuses only on neutral phospholipids (POPC, DPPC and PSM) and CHL. Realistic biological membranes also contain anionic and more complex lipids, as well as integral and peripheral proteins and adhesion proteins. These other components, especially proteins, are structurally more condensed and less dynamic than lipids, so their presence could add significant barriers for gas molecules to penetrate in. In such conditions, membrane channels, such as aquaporins which contain high-affinity, always-open pathways for gases [
81,
82], may be important for maintaining cellular homeostasis and reducing cellular toxicity.
Author Contributions
Conceptualization, P.M., F.J.M., A.V., W.F.B., and E.T.; methodology, P.M.; validation, P.M.; formal analysis, P.M.; investigation, P.M.; resources, E.T.; data curation, P.M.; writing—original draft preparation, P.M.; writing—review and editing, A.R., F.J.M., and E.T.; visualization, P.M.; supervision, E.T.; project administration, E.T.; funding acquisition, E.T. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported in part by the National Institutes of Health (P41-GM104601 and R24-GM145965 to E.T. and U01-GM111251 and R01-DK128315 to W.F.B. and E.T.) and the Office of Naval Research (ONR N00014-16-1-2535 to W.F.B. and E.T.).
Conflicts of Interest
The authors declare no conflicts of interest.
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Figure 1.
Representative lipids in biological membranes. Glycerophospholipids contain a diacylglycerol backbone attached to a phosphate head group. 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) and 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE) are among the common glycerophospholipids found in living cells. Cholesterol (CHL) is constituted of a planar steroid ring, decorated by two methyl group at C10 and C13, a hydroxyl group at C3, and an 8-carbon aliphatic tail at C17. Sphingomyelin (SM), a type of sphingolipid found in animal cells, contains the phosphocholine head group attached to the sphingosine chain (-chain) and an amide-linked acyl chain (-chain). Palmitoylsphingomyelin (PSM) is the most computationally and structurally studied sphingomyelin and has a similar size to a POPC. Its or sphingosine chain (1,3-dihydroxy-2-amino-4-octadecene) contains a trans double bond between C4 and C5, and a hydroxyl group attached to C3. It is the most common base in mammalian sphingomyelins. Its or acyl chain is a saturated hydrocarbon tail composed of 16 carbon atoms. These structural features of SMs allow its interfacial region between the head group and the hydrophobic tails to act as both hydrogen bond donor and acceptor, whereas the one of glycerophospholipids can only act as hydrogen bond acceptor. Atomic images of POPC, POPE, CHL and PSM lipids are shown in the top panel, and chemical structures are shown in the bottom panel.
Figure 1.
Representative lipids in biological membranes. Glycerophospholipids contain a diacylglycerol backbone attached to a phosphate head group. 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) and 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE) are among the common glycerophospholipids found in living cells. Cholesterol (CHL) is constituted of a planar steroid ring, decorated by two methyl group at C10 and C13, a hydroxyl group at C3, and an 8-carbon aliphatic tail at C17. Sphingomyelin (SM), a type of sphingolipid found in animal cells, contains the phosphocholine head group attached to the sphingosine chain (-chain) and an amide-linked acyl chain (-chain). Palmitoylsphingomyelin (PSM) is the most computationally and structurally studied sphingomyelin and has a similar size to a POPC. Its or sphingosine chain (1,3-dihydroxy-2-amino-4-octadecene) contains a trans double bond between C4 and C5, and a hydroxyl group attached to C3. It is the most common base in mammalian sphingomyelins. Its or acyl chain is a saturated hydrocarbon tail composed of 16 carbon atoms. These structural features of SMs allow its interfacial region between the head group and the hydrophobic tails to act as both hydrogen bond donor and acceptor, whereas the one of glycerophospholipids can only act as hydrogen bond acceptor. Atomic images of POPC, POPE, CHL and PSM lipids are shown in the top panel, and chemical structures are shown in the bottom panel.

Figure 2.
Atomic profiles of membrane constituents (lipids and water). Water occupancy in the bulk was used to normalize the profiles. The intersection points of water and lipid profiles mark the water-lipid interfaces, where the phosphocholine head groups are located.
Figure 2.
Atomic profiles of membrane constituents (lipids and water). Water occupancy in the bulk was used to normalize the profiles. The intersection points of water and lipid profiles mark the water-lipid interfaces, where the phosphocholine head groups are located.
Figure 3.
Membrane structures with different membrane lipid compositions and gas distributions. Membrane systems are labeled based on POPC:PSM:CHL or POPC:DPPC:CHL mole percentage. Lipid molecules are shown in the licorice representation. Oxygen atoms are shown as red balls. Carbon atoms of POPC and PSM lipids are shown in yellow, and those of CHL molecules are shown in purple. CO2 molecules, shown in space-filling with carbon atoms as cyan balls and oxygen atoms as red balls, are the representatives of gases in this figure.
Figure 3.
Membrane structures with different membrane lipid compositions and gas distributions. Membrane systems are labeled based on POPC:PSM:CHL or POPC:DPPC:CHL mole percentage. Lipid molecules are shown in the licorice representation. Oxygen atoms are shown as red balls. Carbon atoms of POPC and PSM lipids are shown in yellow, and those of CHL molecules are shown in purple. CO2 molecules, shown in space-filling with carbon atoms as cyan balls and oxygen atoms as red balls, are the representatives of gases in this figure.
Figure 4.
Deuterium order parameters (
) illustrating the dynamics of POPC oleoyl and palmitoyl chains (A), PSM sphingosine and acyl chains (B), and DPPC
sn-1 and
sn-2 chains (C).
, where
is the angle between the membrane normal and a selected C-H bond vector.
can also been calculated from quadrupolar splittings determined from
2H-NMR experiments [
70,
71,
72,
73,
74]. Lipid chains are completely disordered or conformationally isotropic when
, and this is when they are oriented at the magic angle with respect to the magnetic field. The chains are perfectly in order or in the extended all-trans conformation when -S
CD = 0.5.
Figure 4.
Deuterium order parameters (
) illustrating the dynamics of POPC oleoyl and palmitoyl chains (A), PSM sphingosine and acyl chains (B), and DPPC
sn-1 and
sn-2 chains (C).
, where
is the angle between the membrane normal and a selected C-H bond vector.
can also been calculated from quadrupolar splittings determined from
2H-NMR experiments [
70,
71,
72,
73,
74]. Lipid chains are completely disordered or conformationally isotropic when
, and this is when they are oriented at the magic angle with respect to the magnetic field. The chains are perfectly in order or in the extended all-trans conformation when -S
CD = 0.5.
Figure 5.
Tilting of fatty acid chains. is the angle between the vector connecting the C2 and C16 atoms and the membrane normal (0, 0, 1) for the upper leaflet and (0, 0, -1) for the lower leaflet. Solid lines correspond to the distributions in the upper leaflet, whereas dashed lines correspond to those in the lower leaflets.
Figure 5.
Tilting of fatty acid chains. is the angle between the vector connecting the C2 and C16 atoms and the membrane normal (0, 0, 1) for the upper leaflet and (0, 0, -1) for the lower leaflet. Solid lines correspond to the distributions in the upper leaflet, whereas dashed lines correspond to those in the lower leaflets.
Figure 6.
Calculated membrane permeability coefficients () of gas molecules. A) O2 in POPC:PSM:CHL bilayers. B) CO2 in POPC:PSM:CHL bilayers. C) CO2 in POPC:DPPC:CHL bilayers.
Figure 6.
Calculated membrane permeability coefficients () of gas molecules. A) O2 in POPC:PSM:CHL bilayers. B) CO2 in POPC:PSM:CHL bilayers. C) CO2 in POPC:DPPC:CHL bilayers.
Figure 7.
Partitioning free energy profiles () of gas molecules for (A-B) O2 in POPC:PSM:CHL bilayers. (C-D) CO2 in POPC:PSM:CHL bilayers. (E) CO2 in POPC:DPPC:CHL bilayers. The partitioning profiles of gases were calculated using the equilibrium portions of flooding simulation trajectories. Bars indicated standard deviation of the mean.
Figure 7.
Partitioning free energy profiles () of gas molecules for (A-B) O2 in POPC:PSM:CHL bilayers. (C-D) CO2 in POPC:PSM:CHL bilayers. (E) CO2 in POPC:DPPC:CHL bilayers. The partitioning profiles of gases were calculated using the equilibrium portions of flooding simulation trajectories. Bars indicated standard deviation of the mean.
Figure 8.
Approximated overall diffusion coefficients () of O2 (A) and CO2 in POPC:PSM:CHL membranes (B) and of CO2 in POPC:DPPC:CHL membranes (C).
Figure 8.
Approximated overall diffusion coefficients () of O2 (A) and CO2 in POPC:PSM:CHL membranes (B) and of CO2 in POPC:DPPC:CHL membranes (C).
Table 1.
Lipid bilayer systems simulated in this study.
Table 1.
Lipid bilayer systems simulated in this study.
| Lipid ratio |
Lipid numbers |
System size (atoms) |
| |
POPC:PSM:CHL |
|
| 100:0:0 |
294/0/0 |
77,406 |
| 50:0:50 |
186/0/186 |
79,413 |
| 35:0:65 |
154/0/286 |
85,207 |
| 0:100:0 |
0/362/0 |
80,823 |
| 0:50:50 |
210/0/210 |
84,098 |
| 50:50:0 |
162/162/0 |
83,253 |
| 33:33:33 |
124/124/124 |
81,324 |
| 25:25:50 |
100/100/200 |
82,599 |
| |
POPC:DPPC:CHL |
|
| 50:50:0 |
154/154/0 |
78,708 |
| 0:50:50 |
196/196/0 |
79,346 |
| 33:33:33 |
118/118/118 |
78,997 |
Table 2.
Calculated membrane permeability of O2 and CO2.
Table 2.
Calculated membrane permeability of O2 and CO2.
| |
|
<[]> |
<Area > |
|
|
|
| |
(ns) |
(mM) |
(Å2) |
(Å) |
(cm/s) |
(10−6 cm2/s) |
| POPC:PSM:CHL |
|
|
|
|
|
|
| 100:0:0 |
175 |
54 |
9,486 |
44 |
12±0.4 |
2.5±0.1 |
| 50:0:50 |
250 |
86 |
8,022 |
46 |
15.9±1.8 |
3,4±0.4 |
| 35:0:65 |
250 |
77 |
8,967 |
44 |
10.9±1.0 |
2.8±0.3 |
| 0:100:0 |
400 |
76 |
9,245 |
48 |
0.8±0.1 |
0.4±0.0 |
| 0:50:50 |
400 |
115 |
8,346 |
50 |
2.1±0.4 |
1.6±0.3 |
| POPC:PSM:CHL |
|
|
|
|
|
|
| 100:0:0 |
175 |
125 |
9,545 |
44 |
16.6±0.8 |
3.5±0.2 |
| 50:0:50 |
250 |
182 |
8,017 |
46 |
9.8±0.3 |
3,4±0.1 |
| 35:0:65 |
250 |
173 |
8,958 |
44 |
6.3±0.6 |
3.5±0.3 |
| 0:100:0 |
400 |
165 |
9,154 |
48 |
1.0±0.1 |
0.5±0.0 |
| 0:50:50 |
400 |
223 |
8,342 |
50 |
1.1±0.2 |
1.7±0.3 |
| 50:50:0 |
250 |
117 |
9,473 |
46 |
8.4±0.1 |
2.2±0.0 |
| 33:33:33 |
250 |
178 |
8,162 |
50 |
6.5±1.8 |
2.8±0.8 |
| 25:25:50 |
250 |
185 |
8,206 |
50 |
4.3±0.3 |
2.7±0.4 |
| POPC:DPPC:CHL |
|
|
|
|
|
|
| 50:50:0 |
250 |
122 |
9,572 |
44 |
14.3±0.1 |
3.0±0.0 |
| 33:33:33 |
250 |
198 |
7,891 |
48 |
7.1±1.1 |
3.3±0.1 |
| 0:50:50 |
400 |
241 |
7,828 |
50 |
3.1±0.1 |
2.7±0.4 |
|
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