Affinity and Decontamination of Dermal Decontamination Gel (DDGel) to Model Chemical Warfare Agent (CWA) Simulants

div class=”ChapterContextInformation”>


© Springer Nature Switzerland AG 2020
H. Zhu, H. I. Maibach (eds.)Skin Decontaminationhttps://doi.org/10.1007/978-3-030-24009-7_10



10. Binding Affinity and Decontamination of Dermal Decontamination Gel (DDGel) to Model Chemical Warfare Agent (CWA) Simulants



Yachao Cao1 , Akram Elmahdy1 , Hanjiang Zhu1, Xiaoying Hui1 and Howard I. Maibach1  


(1)
Department of Dermatology, University of California San Francisco, San Francisco, CA, USA

 



 

Howard I. Maibach



 Contributed equally


Keywords

Binding AffinitySkin DecontaminationPartition coefficientCWA simulantsDermal decontamination gel (DDGel)


Introduction


Chemical absorption into and through skin is important in dermato-pharmacology and dermato-toxicology. Stratum corneum (SC), the outermost skin layer, constitutes a main rate-limiting barrier to transport of most chemicals across the skin [11, 29, 30, 38]. The chemicals first partition into the SC before penetrating the remaining epidermal layers, dermis, and vascular system to gain access to system circulation. Chemical partitioning proceeds much faster than complete diffusion through whole SC, and the partitioning process quickly reaches equilibrium [31]. In partitioning, chemicals may bind to components of the SC and be retained by SC, which serves as a reservoir [44]. Therefore, understanding the processes behind chemical partitioning into the SC is essential to gaining insight into the barrier properties of the SC and chemical transport across skin.


Human SC has been used as an in vitro model to explore percutaneous absorption and local or systemic risks associated with dermal exposure to toxic chemicals [24, 32]. Driven by applications in transdermal drug delivery and safety assessment, there has been a continuous interest in revealing a chemical’s partition and binding to the SC. Studies on chemical partitioning into SC lipids were broadly published [2, 5, 14, 18, 21, 24]. A good correlation exists between overall partitioning of chemicals into SC and chemical partitioning into SC lipids. But evidence shows that chemicals diffuse into SC corneocytes and also bind to SC proteins [1, 2, 19, 25]. A two-phase partitioning model has been proposed for analysis of the heterogeneous structure of the SC [2, 22, 25].


Penetrant’s binding to SC components can lead to differences in the effective and true diffusion and partition coefficients, a retardation of the absorption process, and a sustained presence of the bound compound. Therefore, accurate estimates of binding coefficients become essential to improve understanding of binding mechanisms to the major stratum corneum components. Stratum corneum study shows the relative role of lipids and proteins and thus provides a mechanistic insight into the relationship between the SC lipids and proteins as well as dermal penetration, absorption prevention, and skin decontamination.


An effective skin decontaminant should: (i) decrease the quantity of contaminant absorbed into skin (from stratum corneum to receptor fluid), (ii) significantly delay absorption time (if overall absorption could not be significantly decreased (holding), and/or (iii) have an ability to degrade the contaminant present on and/or in the skin. The nonabsorbed fraction (total quantity of chemical present on the skin surface) is the fraction considered as the removable amount from the skin surface. On the other hand, the absorbed fraction (i.e., sum of the quantities from the stratum corneum to receptor fluid) is the quantity of chemical which can potentially move into the blood. This is why, for each decontamination experiment, quantities of chemical in the nonabsorbed fraction and in the absorbed fraction have been compared.


Chemical weapons pose significant threats to society. In response to these threats, scientists have long searched for environmentally benign approaches to their decontamination. Knowledge to decontaminate chemical warfare agents (CWAs) such as distilled mustard, lewisite, tabun, sarin, soman, and VX is thus important. However, it is often necessary to conduct studies examining chemical agent behavior using simulants due to the toxicity of the agents and usage restrictions [4]. An ideal chemical agent simulant would mimic all relevant chemical and physical properties of the agent without its associated toxicological properties. Although many chemicals have been used as simulants, no individual compound is perfect because a single simulant cannot satisfactorily represent all properties of a given CWA. Thus, many chemicals have been used as simulants, depending on the physical–chemical properties of interest. Mustard gas (HD) simulates include DEA, DMA, CEMS, CEPS; yet TMP and DES are used as G-agents and VX simulants, respectively. The volatility of CWAs and their simulants are different. HD and G agents have high volatility and VX has a relatively low volatility. There are no experimental volatility data for these simulants; most are volatile; TMP is the most volatile [9, 16, 33, 36].


A successful skin decontamination strategy, for example, should not only remove CWAs from the skin surface, but also back-extract chemicals from the SC reservoir and reduce further penetration and systemic absorption. A dermal decontamination gel (DDGel) has shown excellent decontamination efficiency in removing, and more importantly, back-extracting topically applied chemicals such as chemical warfare simulants and other model chemicals.


Here, we use human stratum corneum as an in vitro model to assess relationship between physicochemical properties of simulants and their perspective partition mechanisms that govern partitioning between (a) the SC and water and (b) DDGel and water. Then we determined whether or not the partition coefficient of PCDDGel/w correlated to PCsc/w and/or to PCo/w. These values were further correlated with SC protein and SC lipid binding rates, desorption rates (off-rates), and skin decontamination efficiencies of those simulants. Also, skin decontamination experiments were performed to test decontamination efficacy of DDGel with these chemicals using in vitro human skin models. Those studies serve to verify the theoretical estimation of the relationship between chemical penetration and SC domains of lipid, protein, and water [41].


Materials and Methods


Test Chemicals and Reagents


Radiochemical purities of all carbon-14 labeled chemicals (hot) were greater than 95%. [C14]-trimethyl phosphate (TMP) (50 mCi/mmol), [C14]-dimethyl adipate (DMA) (50 mCi/mmol), [C14]-2-chloroethyl methyl sulfide (CEMS) (55 mCi/mmol), [C14]-diethyl adipate (DEA) (50 mCi/mmol), [C14]-chloroethyl phenyl sulfide (CEPS) (50 mCi/mmol), and [C14]-diethyl sebacate (DES) (100 mCi/mmol) were custom synthesized by American Radiolabeled Chemicals, Inc. (St. Louis, MO, USA). Reagent grade ethanol was purchased from Fisher Scientific (Pittsburg, PA, USA). Soluene-350® tissue solubilizer and ULTIMA GOLD™ scintillation cocktails were manufactured by PerkinElmer Life and Analytical Sciences (Boston, MA, USA). Nonradiolabeled (cold) trimethyl phosphate, dimethyl adipate, 2-chloroethyl methyl sulfide, diethyl adipate, chloroethyl phenyl sulfide, and diethyl sebacate were obtained from American Radiolabeled Chemicals, Inc. (St. Louis, MO, USA). Dosing solutions were prepared in ethanol with radiolabeled compounds and 20 mg/ml of nonradiolabeled chemicals to achieve 0.05 m/Ci/ml specific radioactivity. Receptor fluid was 0.01mole/liter phosphate-buffered saline (PBS) aqueous solution containing 6% (v/v) polyethylene glycol prepared using PBS tablets obtained from Diagnostic BioSystems (Pleasanton, CA, USA) and polyethylene glycol from Sigma-Aldrich (St. Louis, MO, USA).


Preparation of DDGel


DDGel is a gel-quickly-dried-film formulation prepared with polymers (Kollidon SR, lutrol, and carboxymethyl cellulose), absorbent clay (Fuller’s earth and bentonite), and solvents (ethanol and water). Weight Kollidon SR (3 g), lutrol (1 g), carboxymethyl cellulose (0.3 g), Fuller’s earth (2.5 g), and bentonite (0.5 g) were dissolved with 2 ml of water and 10 ml of ethanol and mixed.


Preparation of Intact Stratum Corneum Membranes and DDGel Sheets for Chemical Binding Experiments


Skin samples were obtained from the thigh of adult human cadavers at the Pathology Department of the University of California, San Francisco School of Medicine. Skin samples at a target thickness of 400 μm were prepared using a Padgett Electro-dermatome (Padgett Instruments, Inc., Kansas City, MO, USA), and skin samples were stored at 4 °C until use. Skin sample physical conditions were examined visually to exclude samples with surface damage or abnormal appearance. Skin samples were processed to obtain SC membranes by employing a modified method [43]. After submerging the skin sample in 60 °C water for 1 min, the epidermis was carefully peeled from dermis and placed on a cotton pad soaked with 0.5% (wt/wt) trypsin solution with the dermal side down at 37 °C for 15 to 24 hrs during skin digestion. The pH of the trypsin solution was adjusted to 8.0–8.6 with 5% (wt/wt) sodium bicarbonate. When digestion was completed, SC was thoroughly washed thrice with water and then dried under vacuum overnight at room temperature. Prepared SC membranes were stored at room temperature until use (less than 6 months). Stratum corneum thickness was measured by digital caliper (Marathon Watch Company Ltd., Ontario, CA) before experiments.


DDGels were prepared as a film on glass, then punched into discs of the same size (diameter = 10 mm). Weights of DDGel disc sheets were measured by analytical balances (Sartorius AG, Goettingen, Germany).


Stratum Corneum and DDGel Chemical Binding Experimental Procedures


Five samples were utilized per group for binding assay. Preprepared stratum corneum sheets and DDGel sheet samples were accurately weighed and then placed in dialysis tubing. Dialysis system has two parts: dialysis tubing and dialysate section (Fig. 10.1). SC/DDGel sheets and 50 μl of each of the selected test chemicals (1% v/v) were placed in dialysis tubing and 350 μl PBS (0.01 M, PH 7.0) were added in dialysate section. The dialysis system was incubated with horizontal shaking and allowed to equilibrate at 37 °C for 24 hrs. Weight of skin sample, volume, and initial concentration of test chemical solutions were chosen based on the solute amount present in the incubation system to ensure that a significant depletion of solute would not occur after equilibration. Initial concentration of the solute in solution was selected to determine whether the uptake by SC and DDGel can be described by a constant partition coefficient and is independent of solute concentration [3, 32, 35].

../images/416314_1_En_10_Chapter/416314_1_En_10_Fig1_HTML.png

Fig. 10.1

Dialysis system for binding test. This shows the two-part dialysis system


Stratum corneum water uptake capacity was calculated by the increase of the post-equilibrium sample weight.


In Vitro Skin Decontamination Efficacy


Adult human cadaver skin samples were stored at −20 °C. On the day of experiment, skin samples were thawed at room temperature and the skin was cut into 6.25 cm2 circular pieces. Full-thickness unclipped skin was used. Thickness was measured with a digital caliper (Marathon watch company Ltd., Richmond Hill, Ontario, CA). Human skin membrane thicknesses were 300–500 μm. Skin discs were mounted onto Flow-Through diffusion cells and maintained at 37 °C in a water bath in order to obtain a skin surface temperature of 33–34 °C as observed in vivo in humans. Skin samples were divided into groups of six biological replicates from three donors (69, 71, 72 years, White, male). Skin area available for chemical diffusion was 1 cm2. After 30 min equilibration with receptor fluid, skin integrity was assessed by measuring the Trans-Epidermal Water Loss (TEWL) using a Vapometer (Delfin Technologies, Ltd. Kuopio, Finland) before any drug or chemical dosing. Following the OECD guidelines [23], only skin with TEWL values ranging between 3 and 10 g/h/m were used in the penetration studies. This permeability is comparable to a fresh human skin specimen [10]. The donor compartment of the diffusion cell apparatus remained open during the experiment. An aliquot of 10 μL of a simulant was evenly applied to the center of the unclipped human skin surface, resulting in an applied surface dose of 1 mg/cm2 [17]. Decontamination procedures were performed at 0.5 hrs post chemical dosing following the procedure as described: An aliquot of 150 mg of DDGel was massaged onto the surface in a circular motion of each skin disc for 5 seconds with a glass rod. DDGel was then peeled off from skin surface after 30 mins from DDGel deposition time. The skin surface was softly wiped one time with a dry cotton ball to remove the residual DDGel. Simulants permeation assay was continued for up to 24 hrs post chemical dosing to ascertain the impact of the skin decontamination process on dermal penetration and percutaneous absorption. Skin samples without any decontamination were used as controls. Receptor fluid (RF) was collected at 30 min, 1 hr, and then every 2 hrs thereafter. RF samples were handled according to established procedures (mixed with liquid scintillation cocktail at volume ratio of 1:100). At the end of the experiment, skin discs were removed from the diffusion cells. The surface of control skin samples was gently wiped two times with a dry cotton ball to recover the fraction of chemical remaining on the skin surface. Stratum corneum was removed by tape stripping for ten times using D-Squame standard sampling disc (Cuderm). The viable epidermis was separated from dermis by heat treatment (in 60 °C water for 45 sec) [28]. Dermis and viable epidermis were cut into small pieces and placed individually into vials with 2 mL of Soluene 350 Tissue Solubilizer (PekinElmer Life and Analytical Sciences, Boston, MA, USA) for total tissue digestion. The test chemical was extracted overnight at room temperature without shaking.


One-hour in vitro skin penetration experiment of CEPS was performed. Skin samples were divided into groups of three biological replicates from one donor (80 years, White, male). The experiment method was the same as for the 24 hrs decontamination experiment. After 30 min exposure, DDGel was applied and then wiped before gel sheet formation (in 5 mins) to avoid DDGel’s SC peeling effect so that the back-extracting effect can be demonstrated. RF was collected every 5 mins.


Radioactivity Measurements


Collected test samples were measured for radioactivity with a PerkinElmer Tri-Carb 2900TR liquid scintillation spectrometer (PerkinElmer Life and Analytical Sciences, Inc., Waltham, MA, USA), which was calibrated with background control scintillation cocktail standards.


SC and DDGel samples were mixed with scintillation cocktails for radioactivity quantitation. After binding, the vehicle fluid and surface washes were mixed with scintillation cocktails (Ecolite (+)) for assay. Control and test sample scintillation counts were acquired into, and analyzed by, a computer program which comes with the liquid scintillation spectrometer to generate reportable data.


All in vitro experiments samples were collected and mixed with scintillation cocktail for radioactivity quantitation. Radioactivities in cotton ball and scintillation cocktails were measured.


Accuracy and reliability of liquid scintillation spectrometry were ensured weekly by calibration by running its manufacturer-provided internal quench and calibration standards. Liquid scintillation spectrometer is an automatically calibrated system. Before samples are counted, the system will be normalized and calibrated. Normalization, calibration, and Instrument Performance Assessment (IPA) occurs automatically by leaving the Self Normalization and Calibration (SNC) and IPA cassette (containing the 14C calibration standard, unquenched Tritium standard , and background standard) on the instrument counting deck at all times.


Data Analysis and Regression





  1. 1.

    Partition coefficients of each test chemical between SC and water or between DDGel and water were measured following the method of Hui et al. [13], after a 24-hour incubation period at 37 °C to reach equilibrium. Partition coefficient (PC) of a test chemical between SC and water was calculated as:


     






$$ \mathrm{PC}\ \left(\mathrm{SC}/\mathrm{w}\right)=\frac{\mu Ci\left(\mathrm{SC}\right)}{\mathrm{mg}\left(\mathrm{SC}\right)}\div \frac{\mu Ci\left(\mathrm{i}\right)-\mu Ci\left(\mathrm{SC}\right)}{\mathrm{mg}\left(\mathrm{water}\right)} $$

(10.1)
where μCi(i) is the initial chemical radioactivity in vehicle (water), μCi(SC) is the amount (μCi) of chemical absorbed by 10 mg of the SC (expressed in mg (SC in equation 10.1), and mg(water) is the amount (μCi) of chemical remaining in 50 mg of the water post removal of the SC sheet. Since the chemical amount in the SC or in water is proportional to radioactivity counts, the amount of chemical partitioned into the SC equaled the chemical amount calculated from the decrease in the chemical concentration in the vehicle (water).

Similarly, to determine the partition coefficient of DDGel/water, the above formula was applied with μCi (DDGel) and/or mg (DDGel) replacing the corresponding SC parameters as illustrated in Eq. (10.2):




$$ \mathrm{PC}\ \left(\mathrm{DDGel}/\mathrm{w}\right)=\frac{\mu Ci\left(\mathrm{DDGel}\right)}{\mathrm{mg}\left(\mathrm{DDGel}\right)}\div \frac{\mu Ci\left(\mathrm{i}\right)-\mu Ci\left(\mathrm{DDGel}\right)}{\mathrm{mg}\left(\mathrm{water}\right)} $$

(10.2)



  1. 2.

    Efficacy of a skin decontaminant


     

Mass balance calculations were performed to ensure data accuracy. Total chemical amount in a given tissue was calculated based on the total sample volume or weight and chemical concentration in that sample. To enhance and ensure best data comparability across treatments (control vs DDGel) and across simulants, the assayed decontamination and absorption data were normalized by total recovery for each diffusion cell and then statistically analyzed and compared.


Amounts of chemical were expressed as percent of dose recovered from receptor fluid, skin surface, stratum corneum, viable epidermis, and dermis. Means of all data are given along with corresponding standard deviations (S.D., n = 6 replicates). A normality test (Kolmogorov–Smirnov) was conducted on all data acquired from the in vitro studies: the data were found not normally distributed (non-Gaussian). Because the quantities of chemical in each fraction in a given sample type (receptor fluid, skin surface, stratum corneum, viable epidermis, dermis, total, absorbed fraction, or nonabsorbed fraction) do not follow a normal distribution and variances were not equal, a Student’s t-test (P < 0.05) was applied to check if decontaminant of DDGel system significantly reduced the chemical amounts in various compartments of the skin and the perfused (mimics the blood in systemic circulation) when compared to the control.


Results


Binding Affinity of SC and DDGel


Figure 10.2 shows partitioning values of the SC and DDGel, expressed as log Psc/w and log PDDGel/w, for six CWA simulants. The corresponding data points of log Psc/w and log PDDGel/w are closely colocated at the corresponding log Po/w(octanol/water) value of a simulant, which is true across a wide range of log Po/w values representing a diversified group of simulants (see Table 10.1 below). This correlation may explain why DDGel can remove simulants from the skin surface and much more importantly, may back-extract them at least from the SC along with a possibility of removal of the loss surface SC layer. DDGel properties may be similar with properties of the SC in terms of chemical partitioning and may even be more active along with other mechanisms in terms of binding affinity or binding rate. It needs more investigation. DDGel formulation has a similar or higher chemical binding affinity when compared to SC. This finding seems to strongly suggest an opportunity to develop this DDGel formulation into a decontamination platform for much more efficient skin decontamination in military and civilian applications.

../images/416314_1_En_10_Chapter/416314_1_En_10_Fig2_HTML.png

Fig. 10.2

Correlation of log Po/w, log Psc/w, and log PDDGel/w of six CWA simulants. Data of partition coefficients (PCSC/w and PCDDGel/w) of each chemical were the results at equilibrium after a 24-hr incubation. Each logarithm partition coefficient data point in Fig. 10.2 (Log PSC/w or Log PDDGel/w) represents the mean ± S.D. (n = 5) of a CWA simulant tested. The corresponding data points of log Psc/w and log PDDGel/w are closely colocated at the corresponding log Po/w (octanol/water) value of a CWA simulant




Table 10.1

Molecular weight (MW), hydrogen-bond (donor and acceptor) counts, log Po/w, log Psc/w, and log PDDGel/w of six CWA simulants tested






























































































CWA simulants


MW


Hydrogen bond


Logarithm partition coefficient


Donor


Acceptor


Oct/w


SC/w


DDGel/w

     

Mean


S.D.


Mean


S.D.


Trimethyl phosphate ( TMP )


140.07


0


4


−0.78


0.92


0.12


0.74


0.01


Dimethyl adipate (DMA)


174.19


0


4


1.03


0.65


0.16


0.93


0.05


2-Chloroethyl methyl sulfide (CEMS)


110.61


0


1


1.59


0.78


0.08


0.9


0.07


Diethyl adipate (DEA)


202.25


0


4


1.67


1.07


0.05


1.23


0.12


Chlorethyl phenyl sulfide (CEPS)


172.67


0


1


3.01


1.4


0.08


1.35


0.1


Diethyl sebacate (DES)


258.35


0


4


4.33


2.86


0.13


3.08


0.06



Partition coefficient (for PCSC/w or PCDDGel/w) values of the CWA simulants started to be sensitive to their lipophilicity, only when the chemicals approach a threshold of organic solvent (very lipophilic) over water partitioning (e.g., Log Ko/w above 3)

Only gold members can continue reading. Log In or Register to continue

Stay updated, free articles. Join our Telegram channel

Mar 23, 2021 | Posted by in Dermatology | Comments Off on Affinity and Decontamination of Dermal Decontamination Gel (DDGel) to Model Chemical Warfare Agent (CWA) Simulants

Full access? Get Clinical Tree

Get Clinical Tree app for offline access