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Tuning the Transdermal Transport by Application of External Continuous Electric Field: A Molecular Dynamics Coarse-Grained Study

Neila Machado1, Clarissa Callegaro2, Marcelo Augusto Christoffolete1, and Herculano Martinho 1Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, Av. dos Estados 5001, Santo André-SP, 09210-580, Brazil
2AXCEM Dermatologia, Cosmiatria e Laser, R. Taváres Cabral, 102, conj. 71, São Paulo-SP, 05423-030, Brazil
Abstract

Since a long time the application of small electric potentials on biological membranes (iontophoresis) proved enabling control and improvement of transdermal delivery of substances across this barrier. In spite of a large experimental data, the detailed molecular mechanism of iontophoresis is absent. In the present work the interaction among the external continuous electric field with the outermost layer of the skin (stratum corneum) was studied by coarse-grained molecular dynamics. Our results pointed out the occurrence of water-rich vesicles formation depending on the field strength. The corresponding phase diagram indicated that the large set of phenomena (vesicle formation, reversibility, phase transition, disruption) could be completely controlled by tuning external continuous electric fields. Interestingly, electric field shielding effects are in the origin of observed effects and followed a general Arrhenius-like time dependence. Direct current (DC) electric field usage would also have booster diffusion effects due to vesicles creation and reincorporation which would have direct beneficial absorption effects on water-soluble topical agents (vitamins) or dermal jet-injection of drugs by fine needles.

Keywords: stratum corneum; skin; molecular dynamics; tissue computer model; electroporation; iontophoresis.

1 Introduction

The human skin is a natural barrier to the transport of substances. Skin controls the detailed balance of, e.g., moisture and harmful molecules. It protects the body against external chemical and physical factors, takes part in the metabolic processes, plays a resorptive and thermoregulatory function, and it partakes in immunological processes[1, 2]. In fact, it is a complex organ that has many functions that go far beyond its role as a barrier to the environment[1].

The basic structure of the skin comprises three component layers: epidermis, dermis, and hypodermis[3]. The epidermis is the outer layer of the three layers that make up the skin[3]. It is divided into four layers, starting at the dermal junction with the basal cell layer and ending at the outer surface in the stratum corneum (SC) membrane[4]. SC is the main responsible for the selective permeability of exogenous substances. The SC is organized in an arrangement known as ”bricks and mortar” where the keratinized cells called corneocytes represent the ”bricks” and are embedded into a highly specialized intercellular cement known as the extracellular matrix or lipid matrix[5]. This structured bilayered matrix is mainly composed by ceramide, cholesterol, and free fatty acids molecules. The detailed composition and amount of bilayers vary as function of the depth of the SC[1, 3, 6, 4]. This multilamellar system is responsible for the maintenance and homeostatic balance of the skin[1, 3, 6, 4].

The SC is a rate-limiting lipophilic barrier against the uptake of chemical and biological toxins, as well as trans-epidermal water loss[7, 8]. Several approaches have been proposed to control the permeability of this barrier (see, e.g., [9] and [10]). Such control would enable to establish viable and advantageous optional routes for the administration of medications, vitamins, and nutrients[11]. The transdermal delivery could for example, reduce first-pass metabolism associated with oral delivery, and is not painful as injections[12].

A number of factors affects the dermal absorption, including, e.g., type of skin; physical-chemical properties of delivery systems; skin moisture level; external temperature; skin pre-treatment; among others. Thus, numerous in-vitro and in-vivo models are used to examine the penetration of active compounds through the skin[8, 13]. Notwithstanding, several issues such as permeability and dermal absorption processes, remain unsolved.

The application of external electric fields in the biological membranes aiming enable the transport of substances across this barrier is known as electroporation. The effect can be either reversible or irreversible[14, 15]. The reversible electroporation has become an important tool in biotechnology and medicine. There are several reports considering the fusion of cells, treatment of cancer, and transdermal delivery of drugs and genes using reversible electroporation (see, e.g., [15]). Irreversible electroporation also have is also an important medical technology as, e.g., tissue ablation tool for treatment of elusive cancers such as in the prostate, the lung and the brain[16].

Furthermore, electroporation is widely used as a delivery method for small DNA transfection in cell culture as wellin vivo[17]. It is also used to transform bacteria as standard procedure in molecular biology. It is reported to present superior efficiency compared to chemical or thermal shock techniques[17]. Therefore, efficiency improvement in electroporation protocols is very desirable.

The electric field pulses usually employed experimentally have intensities of 1\sim 1 mV/nm and exposure duration of few milliseconds[15]. The temporary pores formed are difficult to be directly observed since their dimensions (several nanometers) and instability fall out the limits of current electron microscopy soft matter experimental techniques[15]. Thus, the concretely established characteristic of the electroporation include the creation of a transient charge state where there is a rapid and reversible increase in permeability, electrical conductance and a decrease in membrane resistance[15, 14].

In-silico approaches are in principle able to predict adsorption, distribution, metabolism, excretion, and toxicity on the basis of input data describing physical-chemical properties of the compounds to be delivered and on physiological properties of the exposed skin[18, 19, 20, 21, 22, 23, 24, 25]. In particular, classical molecular dynamics have been used to perform permeability studies at molecular level[23, 24, 25, 22].

The change caused by pulsed electric fields on the lateral organization of cell membranes is widely reported on literature (see, e.g.,[25, 26, 27]). The first work reporting a possible molecular mechanism for pore formation in the skin lipid bilayer during electroporation was the molecular dynamics simulation by Gupta and Rai[25]. They studied the effect of the applied external electrical field (0.61.00.6-1.0 V/nm) on the pore formation dynamics in the lipid bilayer of different sizes (154, 616, and 2464 lipids) and compositions (ceramide/cholesterol/free fatty acid, 1:0:0, 1:0:1, 1:1:0, 1:1:1). They reported that the electroporation process was found to be reversible for the setted parameters. The authors also reported that the pore-opening dynamics depends upon the strength of the applied electric field, whereas the pore-closing dynamics is independent of the applied electric field. The interfacial water played a key role in the electroporation of the skin lipid bilayer.

The external disturbances can lead to membrane re-organization at different levels, e.g., affecting organizational tendencies such as compartmentalization and groupings[26]. In membranes with different amounts of cholesterol molecules in their composition, the application of electric fields leads to the formation of pores with different morphologies, when compared to the hydrophilic pores often formed in phospholipid membranes[28, 29, 30]. These morphological differences have impact on the transport properties of such electroporated membranes.

The simulation studies by Casciola et al.[30] concluded that electroporation of cholesterol-rich membranes is strongly influenced by this compound in agreement with previous studies of Koronkiewicz and Kalinowski [29]. The former authors shown that the pores formed in membranes containing cholesterol close during electroporation and non-stabilized pores of the phospholipid head groups collapse and seal much more rapidly.

In the molecular dynamics studies investigating the thermodynamic effect on dipalmitoylphosphatidylcholine (DPPC) bilayers with different cholesterol concentrations, Bennetet al.[31] reported that cholesterol was able to increase the order, thickness and stiffness of these bilayers, restricting deformations of the bilayer and preventing the formation of pores. They suggested that large thermal fluctuations are involved in the budding and fusion of vesicles, in the passive lipid flip-flop and pore formation. The increased concentration of this molecule promoted the increase of the free energy barrier to transfer the sets of DPPC heads to the center of the bilayer by lowering the velocity of the DPPC flip-flop in orders of magnitude.

Fernández et al.[32] calculated the electroporation field threshold on DOPC bilayers with different cholesterol concentrations. They reported that membranes containing cholesterol presented greater electric field threshold for electroporation, slower kinetics, and higher cohesion as well.

The application of continuous small electric potentials enables control and improvement of transdermal molecules delivery[33, 34]. This methodology is named iontophoresis and has medical applications for treatment and diagnosis in a broad range of pathologies as hyperhidrosis[35], ophthalmology[34], cystic fibrosis[36], anaesthesia[37], cancer [38], among others (see, e.g.,[39]). The typical electrical currents can vary between 0.50.5 and 3030 mA/cm2 which is applied for minutes or hours[40, 41, 42]. The technique enables transdermal administration and provides programmable drugs dosage by setting the electric current. It helps to make drug absorption less dependent on biological variables[41] In spite of their relevance, to the best of our knowledge there are a lack of computational simulations studies concerning the molecular mechanisms of iontophoresis and electroporation as well. Its exact action mechanisms still obscure[43]. Moreover, in order to have a complete picture about the action of external electric fields over biological membranes, the low intensity, continuous field is an important limit case to be studied. In this work the interaction of low intensity static electric fields and SC model of human skin was studied using molecular dynamics (MD).

2 Methodology

In this study, MD was used in the coarse-grained (CG) approach[44, 45, 46]. This methodology allows the simulation of large and complex systems such as biological ones, providing a complete description that is beyond the dimensions usually explored in the actual soft matter experimental studies. All simulations were implemented in the GROMACS MD v.2018.1[47, 48, 49].

The SC model was developed and describe elsewhere by one of the authors[23]. It uses the composition of the lipid matrix region (lamellar region between the corneocytes): i) ceramide type II (24%24\%), which forms a dense bilayer and acts on the input control of water molecules making the membrane less permeable compared to the membrane of phospholipids; ii) cholesterol(36%36\%), which acts as a molecular ”clamp” between the larger molecules and which is also involved in membrane fluidity; iii) fatty acid (tetrasanoic acid, 39%39\%) which decreases the packaging of the membrane (Fig. 1a). The polarized water is explicitly included in this SC model[50]. The membrane was modeled using the INSANE[51] program and contained 65,16665,166 polarized water beads. Na+ and Cl- ions were incorporated into the system. Thus, the initial system totaled 69,462 molecules. The total volume of the simulation was defined in a box of 25×25×1825\times 25\times 18 nm3.

We used the Martini force-field[44, 45]. For integration of Newton’s equations of motion it was used the leap-frog algorithm[52] in order to obtain the MD trajectories. The integration time step was 20 fs. The search for the neighborhood was using the Verlet scheme[53]. For the treatment of Coulomb forces we use the reaction-field/potential-shift with a cutting radius of 1.11.1 nm. For the van der Waals interactions we used the cut-off/potential-shift with Lennard-Jones cutoff radius of 1.11.1 nm. The dielectric constant was set to 1515 which is a value very close to the dielectric constant of membrane lipids [54, 55].For temperature control we used the V-rescale thermostat (a modified Berendsen type)[56, 57]. A temperature bath of 310 K was chosen due to its approximate value to the human physiological temperature. In order to control the pressure, the Parrinello-Rahman[58] barostat was used to couple the system to semi-isotropic pressure of 1 atm with comprehensibility of 3×1043\times 10^{-4} bar along the x- and y-axis directions. The axis between the bilayers was chosen along x-direction (see Fig.1a). Periodic boundary conditions were applied in the directions of the x, y, and z axes.

Refer to caption
Figure 1: a) Coarse-grained representation for the human stratum corneum lamellar lipidic membrane containing ceramide (24%24\%), fatty acid (39%39\%), and cholesterol(36%36\%). The membrane thickness is 5.4 nm. The depth of the bilayer was oriented along z-axis following the oriented axis set shown in the inset. b) Initial state of the simulation box in the zero-field condition. The dimensions of box are 25 x 25 x 18 nm3. The membrane is surrounded by water (cyan) and ions (Na+, red dots and Cl-, black dots)

The constant electric field was applied along the z-axis (EzE_{z}) using the GROMACS implementation by Caleman and Spoel[59]. We notice that the induced electric field from the dipoles on the simulation box (EdpE_{dp}) was always Edp1010EzE_{dp}\sim 10^{-10}E_{z}. Thus, the effects of EdpE_{dp} could be neglected. The temporal evolution in each situation was monitored, looking for frequent structural alterations. Before application of the electric field, the system was relaxed by running 1000 ns of trajectory simulation. The minimized state resulted in a set box at 18.63 x 18.63 x 29.76 nm3. It was used as the basis for the subsequent simulations and variations of electric field intensities. The results where visualized using the VMD program[60].

3 Results and discussion

We analyzed the effects of electric field in the range Ez=0100E_{z}=0-100 mV/nm. The results are presented and discussed on the following. A summary of findings is presented on Table 1.

Table 1: Summary of findings in the vesicle dynamics as function of electric field strength.
EzE_{z}(mV/nm) Total time (ns) Qualitative Description
6\leq 6 10001000 absence of effects
7;87;8 10001000 waviness deformation in the membrane; water incorporation in the core; reversible iontophoresis
99 10001000 ripping off vesicle with water in the core; irreversible iontophoresis
1010 10001000 ripping off vesicle with water in the core; membrane unstable after vesicle re-incorporation; irreversible iontophoresis
2010020-100 11001-100 fragmentation of the membrane; irreversible iontophoresis
Refer to caption
Figure 2: a) Temporal evolution up to 10001000 ns for z-axis applied electric fields Ez=7E_{z}=7 and 88 mV/nm. For these intensities the detachment/attachment of a vesicle was observed. The vesicle encapsulates water molecules in the core and also in an internal shell close to the surface as shown in the AAAA section of 197197 ns snapshot. The detachment was completed at this time. At 400400 ns the vesicle starts to be reincorporated. At 10001000 ns it was completely reabsorbed on the membrane. However, a charge separation was markedly observed as indicated by the bottom frame for 10001000 ns. For these field intensities it was observed a reversible iontophoresis. b) Final simulation snapshots for Ez=9,10,20E_{z}=9,10,20 and 100100 mV/nm. For 99 mV/mn electric field intensity it was observed the detachment of a vesicle which will not return to the membrane. For Ez=10E_{z}=10 mV/nm, a vesicle is expelled and returns to the membrane. However the final topology is unstable having a honeycomb pattern (phase transition). The process is irreversible. For 2020 mV/nm and 100100 mV/nm field intensities the membrane is deformed in different fragments also in a irreversible way.

3.1 Field strength Ez6E_{z}\leq 6 mV/nm

Our findings indicate absence of noticeable topological effects on the membrane in this case. Electric fields of this range of intensity only promoted the separation of ionic charges. Zero-field simulations (Fig. 1b) showed a homogeneous ions distribution in the solvent. It was observed that the membrane became more compact (reduction of 2020 % in the box volume) as widely reported for membranes with cholesterol in the structure[29].

Refer to caption
Figure 3: Diagram showing the minimal time for events for stratum corneum membrane model (tmint_{min}) as function of the normalized static electric field strength (E/E0E/E_{0}). The normalizing factor is the minimal electric field where vesicles formation takes place in the simulation (E0=7E_{0}=7 mV/nm in the present case). The solid and dashed lines are fittings to eq. (1) as described in the text.

Structural variations were also absent. In fact, only a slight bending promoted by the proximity of the ions that were rearranged where observed. Na+ cations concentrated on the top of membrane (z-axis), and the Cl- anions on the bottom. The simulation extended beyond 11 μ\mus without noticeable changes (see supplementary material).

3.2 Field strength Ez=7E_{z}=7 and 88 mV/nm

Applying intensities of 77 and 88 mV/nm field we obtained very outstanding results. The starting deformation in the membrane (see 100100 ns snapshot in Fig. 2a) resulted in the later formation of vesicle. This vesicle encapsulated water molecules in the core and in an internal shell close to the surface (see AA section of 197197 ns snapshot). The detachment was completed at this time. At 400400 ns the vesicle starts to be re-incorporated. At 10001000 ns it was completely reabsorbed on the membrane. However, a charge separation was markedly observed as indicated by the bottom frame for 10001000 ns. For these field intensities it was observed a reversible iontophoresis process.

It was also observed that the vesicle detachment/return occurred 50\sim 50% faster for Ez=8E_{z}=8 mV/nm. Extending the simulations in both intensities up to 20002000 ns, we observed that the process of formation, detachment and re-absorption of the vesicles.

3.3 Field strength 9Ez1009\leq E_{z}\leq 100 mV/nm

The Ez=9E_{z}=9 mV/nm (Fig. 2b) presented similar results of 77 and 88 mV/nm. Notwithstanding the resemblance, the formed vesicle did not return to the membrane. For Ez=10E_{z}=10 mV/nm (Fig. 2b) vesicle enclosing water molecules was also formed but the membrane was unable to recover. The vesicle returned to the membrane, but the membrane did not stabilize. The final topology was unstable having a honeycomb pattern. Increasing field strength to 2010020–100 mV/nm (Fig 2b) resulted fragmentation of the SC membrane leading drastic and irreversible morphological changes. More figures and details considering another fields are available in the supplementary materials section.

The simulations reported on literature are usually based on membranes formed essentially of few kinds of phospholipids subjected to pulsed electric fields of various magnitudes. In general, the reported result is the formation of hydrophilic pores which are stabilized by the head groups of the phospholipids[14, 15, 16, 28, 29, 30, 31].

Our results shows the possibility of controlling both water transport across SC and vesicle formation dynamics without large scale membrane compromising by tuning the electric field intensity. In order to summarize the data and give a global phenomenological explanation to the overall picture of the previous results we present the diagram of Fig. 3. In this diagram, the minimal time for relevant events (reversible or irreversible vesicle formation, change of phase or membrane disruption) was plotted against the applied field normalized to the minimal time for events starting (E0=7E_{0}=7 mV/nm in the present case) in a log-reciprocal scale. The normalization helps to future comparison to experimental data. The data was fitted to an Arrhenius-like dependence

tmineαEE0t_{min}\varpropto e^{\frac{\alpha E}{E_{0}}} (1)

Due to the both internal and external charge separation to the vesicles and dielectric constant mismatch as well, the external field is shielded and the local field is decreased in relation to external one. One rough approximation to the effective local field is Eα=E0/αE_{\alpha}=E_{0}/\alpha being α\alpha the shielding factor. The solid line shown on Fig.3 presents the best fitting to eq. 1 for data in the vesicle formation region of the diagram (1E/E01.91\leq E/E_{0}\leq 1.9). The accordance was excellent for α=5.7±0.3\alpha=5.7\pm 0.3. In this case, Eα=0.175×E0=1.2E_{\alpha}=0.175\times E_{0}=1.2 mW/nm. For increasing fields strengths where change of phase or destruction of membrane takes place (E/E01.9E/E_{0}\gtrsim 1.9) the slope of the curve presented a slight change. The best fit (dashed line on Fig. 3) was obtained for α=6.7±0.5\alpha=6.7\pm 0.5 which furnished Eα=0.149×E0=1.0E_{\alpha}=0.149\times E_{0}=1.0 mW/nm. For comparison effects, the electric field shielding due to the presence of a dielectric sphere is α5.3\alpha\sim 5.3[61] which is very similar to our results. Despite the broad values of intensities of applied fields a large diversity of membrane events in the diagram appeared to emerge from the same local field Eα1.1E_{\alpha}\sim 1.1 mV/nm. At first glance, one possible explanation could reside on a viscosity field dependence which would be critical at micro-scale where non-Newtonian phenomena arises[62].

Refer to caption
Figure 4: Shear (a) and bulk (b) viscosity of the system under electric field application of 77 (blue), 88 (red), and 99 (black) mV/nm.

Figure 4 presents the shear (σ\sigma) and bulk (η\eta) viscosity for 77, 88, and 99 mV/nm applied field intensities. These values delineates the emergence of the main effects observed on phase diagram of Fig.3. The field-dependence of viscosities is remarkable. However, it was not found a clear correlation to the phenomena reported elsewhere. In fact, a more careful analysis of the system dynamics need to be conducted to clarify this point. This important task is beyond the scope of the present work.

4 Conclusions

Despite the well known effects of iontophoresis, its mechanism of work is still poorly understood. Our results indicate that hydration effects related to vesicle formation could be tuned by constant external electrical fields. Our findings indicates that this is the underlying mechanism of iontophoresis. This technique usually employs constant or alternating (5105-10 kHz) currents [35] for therapeutic purposes. However, we argue that DC field usage would also have booster diffusion effects due to vesicles creation and reincorporation. The application of static electric field on skin would have direct beneficial absorption effects on water-soluble topical agents as vitamin C[63], vitamin D[64], and vitamin B12[65]. Moreover, the dermal jet-injection of drugs by fine needles[66, 67] could also take advantage from the application of external electric field.

It is the first report of large diversity of phenomena as function of field in the literature, to the best of our knowledge. The phase diagram including reversible/irreversible water-rich vesicle formation, phase transitions, and membrane disruption was presented and would be helpful to experimental verification of our findings. Interestingly, electric field shielding effects are in the origin of observed phenomena following a general Arrhenius-like time dependence. At last, we report that field dependence of both shear and bulk viscosity appeared to play no role in this case.

Acknowledgements. The authors would like to thank the Brazilian agencies Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - 311146/2015-5) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP - 2011/19924-2) for the financial support. The authors would also thank the computational resources provided by Centro Nacional de Processamento de Alto Desempenho em São Paulo (CENAPAD-UNICAMP) and Sistema de Computação Petaflópica (Tier 0) (Santos Dumont-LNCC) under Sistema Nacional de Processamento de Alto Desempenho (SINAPAD) of the Ministério da Ciência, Tecnologia e Inovação (MCTI).

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