Increasing number of bacteria resistant against conventionally used antibiotics poses a serious health threat for the society. Conventional antibiotics have a specific target within a bacterial cell. Many bacteria have developed resistance to these specific mechanisms of action, rendering the antibiotics no longer effective. Particularly dangerous are the bacteria that are resistant to several conventional antibiotics (Pontali et al., 2013; Xu et al., 2014). In order to overcome multi-drug-resistant bacterial infections, research of substances targeting bacterial cells non-specifically is essential. An example of such substances are long-chain amphiphilic surfactants, such as the one used in the presented study.
An extract of polar lipids of
In the present paper, the solubilising effect of a surfactant DDAO on two bacterial model membranes was studied using static light scattering (nephelometry). Because of the amphiphilic nature of the DDAO surfactant and relatively high amount of anionic phospholipids in model membranes, all experiments were performed in phosphate-buffered saline (PBS, pH 7.5).
1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE), 1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-(1′-rac-glycerol) (sodium salt) (POPG), 1′,3′-bis[1,2-dioleoyl-snglycero-3-phospho]-glycerol (sodium salt) (TOCL) purchased from Avanti Polar Lipids (USA), and
POPE-POPG (nPOPE:nPOPG = 0.6:0.4 mol/mol) and POPE-POPG-TOCL (nPOPE:nPOPG:nTOCL = 0.67:0.23:0.1 mol/mol/mol) model membranes were prepared. Weighted amounts of dry lipids in glass tubes were co-solubilised by dissolving in chloroform. Chloroform was evaporated under a stream of gaseous nitrogen to dryness, followed by evacuation in a vacuum chamber using rotary oil pump for 8 h. 50 mmol/dm3 PBS buffer with pH 7.5, consisting of 7.6 mmol/dm3 KH2PO4, 42.4 mmol/dm3 K2HPO4 and 150 mmol/dm3 NaCl was prepared using redistilled water. Adequate amount of dry lipid film was hydrated with 1.3 ml of PBS buffer to obtain lipid concentration 10 mmol/dm3. Spontaneous formation of multilamellar liposomes (MLLs) was accompanied by occasional vortexing until a homogenous dispersion was obtained. MLLs dispersion was extruded (LiposoFast-Basic Extruder) through a 100 nm polycarbonate filter 51 times (MacDonald et al., 1991; Olson et al., 1979). Unilamellar liposomes (ULLs) dispersion was then used to prepare a set of 25 samples with constant concentration of lipid and increasing concentration of DDAO from 0 to 3.12 mmol/dm3. 5 sets of samples, with lipid concentrations 0.02, 0.04, 0.06, 0.08 and 0.1 mmol/dm3 were prepared for each type of model membrane.
Typical three-stage (Lichtenberg et al., 2013a; Lichtenberg et al., 2013b; Želinská et al., 2020) solubilisation experiment is shown in Figure 1. In the first stage, the surfactant partitions into the membrane, until it is saturated (we will refer to this concentration as DtSAT). Further increase in the DDAO concentration causes a phase transition from lamellar structures (in our case, ULLs) to smaller micelles. This transition continues until all the lamellar structures are completely solubilised (we will call this concentration DtSOL).
In the last stage, only lipid–surfactant mixed micelles and residual surfactant monomers are present. Typical feature of this transition is the decrease of the size of the particles, which can be observed using static light scattering (nephelometry). We have also evaluated a concentration of DDAO that causes the scattered light intensity to decrease by 50% compared to the value in the first phase. We will refer to this parameter as DtMID. We will use the term “critical concentration” for all three Dt parameters.
Static light scattering experiments were carried out using Fluoromax 4 spectrofluorometer (Horiba Jobin Yvon, USA) with a controlled temperature of 25°C. Scattering of the light with 600 nm wavelength at a 90° angle was measured for 6 seconds with a step 0.1 second. Average intensity of the scattered light was calculated. Samples were measured 2 h after the DDAO was added to the ULLs dispersion.
The method used to evaluate the data and perform the calculations was previously described in Želinská et al. (2020). To determine the DtSAT and DtSOL parameters, the nephelometry data were fitted using two bilinear functions (each parameter was fitted individually):
The numerical value of DtMID was determined by fitting the dependence of scattered light intensity (I) on the DDAO concentration (cDDAO) with reverse sigmoid function (Figure 2, dashed line):
Solubilisation of POPE-POPG and POPE-POPG-TOCL ULLs induced by non-ionic surfactant DDAO was studied at five different lipid concentrations. Decrease of the lipid particle sizes, which is typical for the solubilisation process, was examined using nephelometry. We can see examples of the experiments in Figure 1. The inset of Figure 1 shows raw solubilisation data for POPE-POPG-TOCL membranes at three lipid concentrations. We can see that the method is sensitive not only for the changes in the size of the scattering particles, but for their concentration as well. The main part of Figure 1 shows a solubilisation experiment comparison of the two types of membrane we investigated, at the same lipid concentration 0.1 mmol/dm3. Intensity of the scattered light was normalised (to the highest detected intensity) for better comparison. All dependencies follow the three-stage process described earlier. All dependencies were fitted with bilinear functions (Equation 1) and reverse sigmoid function (Equation 2) to obtain critical concentrations DtSAT, DtMID, DtSOL. An example of the fitting functions can be seen in Figure 2 (critical concentrations are indicated by arrows).
All acquired DtSAT, DtMID, DtSOL values are plotted as a function of concentration of the lipid in Figure 3. We can see their values increase linearly with increasing concentration of lipid for both types of membrane. The only exception is the saturation concentration DtSAT for POPE-POPG membranes. The reason is that for POPE-POPG membranes, the intensity of scattered light in the first phase of solubilisation was increasing, as opposed to staying approximately the same, as was the case for POPE-POPG-TOCL membranes (an example can be seen in Figure 1). Surfactant-induced increase in the particle size has been reported in literature (Kragh-Hansen et al., 1998). The mentioned study shows that DDAO induced a fusion of small ULLs to larger vesicles before the transition into micelles. The ULLs interacting with DDAO were composed of sarcoplasmic reticulum lipid extract (lipid composition was not specified), and the buffer in use contained 0.1 mmol/dm3 CaCl2. Binding of Ca2+ ions to the membrane are known as an important factor involved in the membrane fusion (Martens & McMahon, 2008). Our buffer did not contain such ions, and the ULLs lipid composition was different as well. The reason for such increase in intensity needs to be studied further. The increase in the intensity made the fitting of DtSAT less reliable, as we can see the error bars (Figure 3) are greater than for any other parameter. Nevertheless, this parameter was not excluded from further analysis, because doing so have not provided significantly different results. All three critical concentrations were fitted with the global function (Equation 3, Figure 3) as described earlier. Instrumental weighing was applied during the fitting, because it uses the square of the reciprocal of the error values, so points with smaller error values have more weight. Results of the fitting are shown in Table 1.
Global fit (Equation 3) results of POPE-POPG and POPE-POPG-TOCL static light scattering data.
D tSAT | 3.7 ± 0.2 | 0.9 ± 0.1 | 5.0 ± 0.3 | 1.0 ± 0.1 |
DtMID | 4.6 ± 0.3 | 1.2 ± 0.2 | 6.3 ± 0.3 | 1.2 ± 0.2 |
DtSOL | 5.1 ± 0.3 | 1.3 ± 0.2 | 7.5 ± 0.4 | 1.4 ± 0.2 |
Kp | 5,300 ± 400 | 6,500 ± 500 |
DW represents the concentration of surfactant in the water phase at particular stage of the solubilisation process. DW values were obtained by extrapolation of the global function to zero lipid concentration (see Figure 3, where DwSAT is depicted as an example). DW values (DwSAT, DwMID, DwSOL) were obtained as a y-coordinates of the intersection points of the global function with the y-axis. The critical micellar concentration of DDAO at 27°C in its non-ionic form (at pH >7) is 2.1 mmol/dm3 (Herrmann, 1962). All our calculated values of DW are smaller than this value, which means that DDAO molecules did not form micelles during the solubilisation experiment. Therefore, we propose that the solubilisation process in this study took place by the transbilayer mechanism (Kragh-Hansen et al., 1998).
The effective molar ratio (Re) of the amount of DDAO integrated into the bilayer to the amount of lipid is a constant, independent of the concentration of lipid and specific for surfactant–lipid mixture. The Re (we will be using values for DtMID concentration for comparisons) values were 4.6 ± 0.3 for POPE-POPG and 6.3 ± 0.3 for POPE-POPG-TOCL. We have determined the partition coefficient of DDAO in bilayers consisting of POPE-POPG Kp = 5,300 ± 400 and for the POPE-POPG-TOCL Kp = 6,500 ± 500.
Regarding the difference between POPE-POPG and the cardiolipin-containing model membrane, the latter was more stable against the DDAO-induced solubilisation. As we can see in Table 1, the Re values were higher at all three evaluated critical concentrations. The calculated partition coefficient was higher as well. Assuming it is caused purely by the presence of cardiolipin would be premature. Domain formation in bacteria membranes can also play an important role. These domains, reported to be enriched in cardiolipin, have been suggested to play an important role in regulatory functions of the cell (Epand & Epand, 2009 and references therein). Many studies with bacterial model membranes tend to neglect the importance of the presence of cardiolipin in the model membranes. Further investigation is needed, because it appears cardiolipin is an important part of bacterial membrane, even though its function is not yet completely known. We would like to continue the research of cardiolipin-containing model membranes in the future, for example using fluorescence microscopy with the help of cardiolipin specific dye 10-N-nonyl acridine orange.
The partition coefficients and Re values calculated in the present study are greater than have been reported for the interaction of DDAO with mammalian model membranes. For example, in our recent article (Želinská et al., 2020), we have researched the interaction of DDAO with dioleoylphosphatidylcholine (DOPC) and cholesterol (CHOL)-enriched DOPC liposomes (33 mol% of CHOL). The Re values for the DtMID concentration were 2.2 ± 0.3 in the case of DOPC ULLs and 1.8 ± 0.3 for DOPC-CHOL type of membrane. Also, the calculated partition coefficients were reported smaller: 2,300 ± 400 (for DOPC) and 2,100 ± 600 (for DOPC-CHOL).
Other studies reported smaller molar partition coefficients for mammalian model membranes as well. For example, Hrubšová et al. (2003) calculated Kp = 500 ± 200 in a system egg yolk phosphatidylcholine (EYPC) ULLs/water. Re for the DtMID concentration was 0.6 ± 0.2. MLLs of EYPC were reported to have a molar partition coefficient of DDAO equal to 1,200 ± 400 (Karlovská et al., 2004a). In these two studies, only a dependence of DtMID on the lipid concentration was used for the calculations.
Our data and calculations show us that the partitioning of DDAO between the aqueous phase and the bacterial model membranes is higher than it is in the case of mammalian model membranes, and yet, the bacterial ULLs needed more DDAO to become solubilised. Because the hydrophobic part of the studied phospholipids is very similar, we suggest that the reason for such big differences might be caused by the polar parts of the phospholipids. In comparison with PCs, the polar part of PEs has smaller diameter (the choline group in PCs is bigger than the ammonium group) and binds smaller amount of water molecules. The ammonium group is able to form hydrogen bonds with phosphate and oxygen atoms of adjacent molecules. A molecular dynamics simulation (Murzyn et al., 2005) of POPE-POPG (in the proportion 3:1) with Na+ ions (to neutralise the negative charge of POPG) has shown that POPE molecules interact readily with POPG and other POPE molecules with hydrogen bonds and water bridges. These bonds strengthen interlipid contacts in the bilayer. These physico-chemical properties of PCs and PEs–PGs-containing membranes might be the reason for our findings, but further analysis is needed. Therefore, in the future, we would like to widen this research to monitoring the effect of DDAO on fluidity of the membrane and the process of pore formation using fluorescent probes.