22nd International Symposium on Plasma Chemistry July 5-10, 2015; Antwerp, Belgium Plasma interaction with phospholipid bilayer: molecular dynamics simulations M. Yusupov, J. Van der Paal, C.C.W. Verlackt, N. Khosravian, E.C. Neyts and A. Bogaerts Research group PLASMANT, Department of Chemistry, University of Antwerp, 2610 Antwerpen-Wilrijk, Belgium Abstract: Atomic scale reactive molecular dynamics simulations based on the density functional-tight binding method are performed to investigate the interactions of reactive oxygen (i.e., OH, O 2 , O 3 and H 2 O 2 ) and reactive nitrogen (i.e., NO, NO 2 and ONOO-) species with a phospholipid bilayer, which is the simple model system for the cell membrane. Furthermore, the results of the reactive simulations are used in non-reactive molecular dynamics simulations (based on the coarse-grained Martini model) to study the further processes (e.g., membrane permeability and fluidity, as well as pore formation), which require long timescale simulations. Keywords: molecular dynamics, reactive oxygen and nitrogen species, phospholipid 1. Introduction In recent years, the use of low temperature (or cold) atmospheric pressure plasmas (CAPPs) for biological and medical purposes, i.e., so-called “plasma medicine” is gaining increasing interest in plasma research [1]. Plasma medicine is a relatively new (i.e., it has been about 20 years since CAPP sources are used for healthcare purposes [2]) and very much a multidisciplinary field on the intersection of medicine, physics, chemistry, biology, etc. Nowadays, the use of CAPPs for cancer treatment (so-called “plasma oncology”) is one of the most exciting sub-topics of plasma medicine [3]. The (mammalian) cancers investigated up to now include breast cancer, acute lymphoblastic leukemia, pancreatic cancer, melanoma, lung cancer, prostate cancer, etc. [3]. It is known that CAPP sources produce reactive oxygen and nitrogen species (ROS/RNS/RONS, e.g., OH, O 2 , O 3 , H 2 O 2 , NO, NO 2 , ONOO-), which are generally believed to be the key to the success of plasma oncology [4]. Although many experimental works have already been carried out so far, the underlying physical and chemical processes, especially the interaction of reactive plasma species (i.e., RONS) with biomolecule systems, are not yet fully understood. In order to control the processes occurring in the contact region of the plasma with the bioorganisms there is a need to deeply investigate the interaction mechanisms of the plasma-generated species with biomedically relevant structures. While actual experiments are clearly indispensable, computer simulations can also be very valuable as they provide fundamental insight in the interaction processes, allowing to investigate the underlying mechanisms in detail, which is extremely difficult to achieve experimentally. However, to date very limited attention has been paid to detailed investigations of RONS interacting with biomolecules. Based on the above mentioned considerations, in this work, we perform reactive molecular dynamics (MD) simulations applying the density functional based tight binding (DFTB) method to investigate the interaction P-III-10-35 mechanisms of RONS with a phospholipid bilayer (PLB), which is the simple model system for the cell membrane. Moreover, by using the outcome of the reactive MD simulations, we perform non-reactive MD simulations based on the coarse-grained Martini model to study the subsequent processes, which require long simulation times. 2. Description of the simulations As mentioned above, in this work, we make use of two different simulation techniques, i.e., DFTB and a coarsegrained model. For the reactive simulations, i.e., to investigate bond breaking and formation processes by RONS originating from the CAPP, the DFTB method is used. 2.1. DFTB method DFTB is a very efficient tool to perform quantum mechanical calculations. It is an approximate density functional theory (DFT) method [5], based on a Taylor series expansion of the DFT total energy expression. The computational speed of this method is similar to semi-empirical methods like AM1 and PM3 [6]. We use the so-called DFTB3 method [7], which is the extended and improved version of previous DFTB approaches, which is derived from a third order expansion of the DFT total energy expression [7]. It accurately describes the H binding energies, proton affinities and H transfer barriers without losing its speed and robustness. In this work, the parameter set, so-called “3OB”, is used, which was specifically developed for DFTB3 [8]. Due to its accuracy and availability to perform reactive simulations on the atomic scale, the DFTB3 method (from now on simply called DFTB) is computationally very expensive. Therefore, a small part of the real system (i.e., cell membrane) is used as a model system, compared to the simulation system used in the non-reactive simulations (see below). This is done to keep the simulation time reasonable. Fig. 1 shows the PLB structure (i.e., a simple model system for the cell membrane) assumed in our 1 simulations. As mentioned above, in the DFTB simulations, a smaller model system (see red rectangle in Fig. 1) is used, which consists of 8 phospholipids (PLs), including the water layer on top and below (containing in total about 1900 atoms). Here we use the model system of the PLB composed of phosphatidylcholine molecules, i.e., one of the four main PLs found in mammalian cells and most abundant in the cell membrane [9]. PLs have a hydrophilic head group which is linked to glycerol, containing two hydrophobic fatty acid tails (i.e., aliphatic chains), normally consisting of 14 to 24 carbon atoms, and one or more tails contain (multiple) double bounds. These double bonds are responsible for a kink in the chains, giving the bilayer its fluidic nature. Fig. 1. Schematic representation of the PLB structure. The red rectangle shows the model system used in the DFTB simulations. Water molecules are shown in greyish green color. The red, grey, blue, orange and small white spheres represent O, C, N, P and H atoms, respectively. The basic function of the PLB is to protect the cell from substances that are applied from outside (including plasma-generated reactive species, i.e., RONS). Therefore, it is of great importance to investigate how plasma species interact with the cell membrane, how they can penetrate and form e.g., lipid peroxidation products. This will shed light on the effects of reactive plasma species on the protective nature of the cell membrane and as a result on the possible responses within the cell. The PLB structure, in DFTB simulations, is placed in a box with dimensions ∼17 Å × 18.5 Å × 72 Å. Because the structure is too small (compared to the real system), 2 we make use of periodic boundary conditions (PBCs) in all three directions (i.e., in x, y and z direction), so that an entire “layer” of PLs is formed, continuing in both x and y direction. In other words, PBCs helps to mimic the infinity of the system in x and y direction, whereas in z direction the water density is kept constant (see Fig. 1). Prior to the particle impacts, the structure is optimized using the conjugate gradient method and then equilibrated at room temperature (i.e., 300 K) applying an isothermal-–isobaric ensemble (i.e., NPT dynamics) for 5 ps (i.e., 2x104 steps, the time step is 0.25 fs). The latter is performed to equilibrate the temperature of the system and to obtain a structure at zero stress. The interaction of the plasma species is investigated by randomly creating them inside the water layer, so that they can penetrate through this layer and eventually react with the head groups of the PLB. To study the (per)oxidation processes in the lipid tails, we create the plasma species close to these chains. The latter is done to keep the computational time reasonable. Each DFTB simulation is repeated 20 times, to allow different reaction types to occur and to gather some (limited) statistics. 2.2. Coarse-grained model After performing DFTB, we use the results obtained from these simulations to study the further processes. It is performed by using a coarse-grained model applying the Martini force field, developed by the research group of Marrink and Tieleman [10]. By using a coarse-grained Martini model we can expand the spatial- and timescale of the processes we want to investigate. This model uses a four-to-one mapping which means that, on average, four heavy atoms (with their associated hydrogen atoms) are grouped into one coarse grained bead. Using the modified (after interaction with RONS) PLB structure obtained from DFTB, we map this system into the Martini model. The larger scale which we can investigate by using this model allows us to study certain properties of the modified cell membrane (e.g., membrane permeability or pore formation) which are not accessible in an all atom-model (i.e., in DFTB). The properties of the modified membrane can then be compared to those of a native membrane. Fig. 2 illustrates the structure of the PLB used in this model, which is prepared as follows. First, a box with dimensions 40 Å × 40 Å × 90 Å is filled with 38 PLs and 16 cholesterol molecules. This box is then minimized for 40 ps by using the steepest descent energy minimization algorithm. After that 350 water coarse grained beads are added randomly (representing 1400 water molecules). This structure is again minimized as described above. Finally a self-assembly MD simulation run is performed for 27 ns (with time steps of 30 fs) at a temperature of 300 K applying the Berendsen thermostat. 3. Results and discussion As mentioned in previous section, the interactions of plasma species (i.e., RONS, see above) with the PLB P-III-10-35 at even 5 percent of oxidized lipids and the pores show more stability at higher percentage of oxidation. In addition to changes in the structural properties of the bilayer, the dynamic properties of the lipids were changed by the oxidation process. To evaluate changes in the dynamics of the bilayer, the lateral diffusion coefficient from the mean-square displacements of the lipids as a function of time were calculated. The typical result indicates that diffusion appears in the hydroperoxide lipids. Fig. 2. Schematic representation of the PLB used in the coarse-grained model. It is surrounded by water, with cholesterol imbedded in it. The grey beads represent water molecules, the yellow beads represent cholesterol. The PLB consists of a NC3 head group (dark blue beads), a phosphate group (green beads), a diacylglycerol linker (red beads) and two lipid tails (light blue beads). were investigated using the DFTB method. Typical results were obtained by applying this method. Our investigation showed that ROS, namely OH radicals can break the important bonds in the hydrophilic head group as well as in the lipid tails (i.e., aliphatic chains), modifying/oxidizing the structure. Note that when travelling through the water layer, the OH radicals continuously react with water molecules, abstracting a H atom from water and forming a new OH radical. It was found that after oxidation of the lipid tails by RONS, O 2 molecules can react with radical sites of the tails and form peroxyl radicals (i.e., lipid peroxidation processes can occur). We also found that the reaction of RONS with fatty acid chains can also lead to the breaking of C-C/H bonds, which can result in the formation of various molecules, including aldehydes and alcohols. The modified PLB structure is used in the coarsegrained model for further analysis. It was found that the interaction of RONS with the lipid bilayer leads to conformational changes in the structure. To investigate the structural properties of the oxidized bilayer, the average area per lipid and the bilayer thickness in all the simulations has been calculated. Also, the permeability of water through oxidized and non-oxidized PLB was studied. It has been observed that water pores are created P-III-10-35 4. Conclusion We have studied the interactions of reactive oxygen and nitrogen species (i.e., OH, O 2 , O 3 , H 2 O 2 , NO, NO 2 , ONOO-) with a PLB and their consequences, by means of atomic scale reactive and non-reactive molecular dynamics simulations. More specifically, we have investigated the interaction of reactive plasma species with the hydrophilic head group as well as with lipid tails of the phospholipid double layer. Our calculations show that these reactive species can break important bonds in the biological structure, leading possibly to cell membrane damage. The calculations also give more information on the interaction mechanisms. Furthermore, we have also investigated the long time behavior of the modified PLB structure (due to oxidative and nitrosative stress), applying a long timescale simulation technique, i.e., a coarse-grained model to investigate the processes, such as the membrane permeability and fluidity, as well as the pore formation. 5. Acknowledgments The authors acknowledge FWO-Flanders for financial support. This work was carried out using the Turing HPC infrastructure at the CalcUA core facility of the Universiteit Antwerpen, a division of the Flemish Supercomputer Center VSC, funded by the Hercules Foundation, the Flemish Government (department EWI), and the Universiteit Antwerpen. 6. References [1] M.G. Kong, et al. New J. Phys., 11, 115012 (2009) [2] M. Laroussi. Plasma Process. Polymers, 11, 1138 (2014) [3] J. Schlegel, et al. Clin. Plas. Med., 1, 2 (2013) [4] D. Graves. Plasma Process. Polymers, 11, 1120 (2014) [5] M. Elstner, et al. Phys. Rev. B, 58, 7260 (1998) [6] M. Elstner, et al. J. Chem. Phys., 114, 5149 (2001) [7] M. Gaus, et al. J. Chem. Theory Comput., 9, 338 (2012) [8] M. Gaus, et al. J. Chem. Theory Comput., 10, 1518 (2014) [9] B. Alberts, et al. Classic textbook, 5th Edition. (2010) [10] S.J. Marrink et al J. Phys. Chem. B, 111, 7812 (2007) 3
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