Role of Components in the Formation of Self-microemulsifying Drug Delivery Systems

Components:In order to formulate a successful SMEDDS for maximum therapeutic effect, due consideration must be given to various factors such as physicochemical properties of the active moiety as well as excipients, potential for drug excipient interaction (in vitro and in vivo) and physiological factors that promote or inhibit the bioavailability. Further, other important factors such as regulatory status, solubilization capacity, miscibility, physical state of the excipients at room temperature, digestibility and compatibility with capsule shell, chemical stability and cost of the materials should also be considered during the formulation[15]. Such a rationale approach not only helps in reducing the time involved in the formulation development but also reduces the cost of its development[11].

Oil/lipid phase:

The function of oil phase in self-microemulsifying system is to solubilize the hydrophobic/lipophilic active moiety in order to improve both drug loading and bioavailability of the hydrophobic active moiety. Selection of oil plays a vital role in the formulation as it determines the amount of drug that can be solubilized in the system[16]. A lipid molecule with a large hydrophobic portion compared to hydrophilic portion is desirable as it maximizes the amount of drug that can be solubilized. Open in a separate windowLIST OF OILS USED IN FORMULATION OF SMEDDS

Long chain triglycerides:

Lipids that have fatty acid chains of 14-20 carbons are categorized as LCTs[17]. Fixed oils i.e., vegetable oils contain a mixture of glyceride esters of unsaturated long chain fatty acids. These are considered safe as they are commonly present in daily food and are easily digestible[15]. Large hydrophobic portion of triglycerides is responsible for their high solvent capacity for lipophilic moieties. Though it is difficult to microemulsify, some marketed formulations such as Neoral^® (composed of olive oil which, has shown superior oral bioavailability) and Topicaine^® gel (composed of Jojoba oil for transdermal application) have been successfully practicing the microemulsification of LCTs[18].

Medium chain triglycerides and related esters:

Lipids that have fatty acid chains of 6-12 carbons are categorized as MCTs[17]. MCTs are the most common choice of oil for SMEDDS as they are resistant to oxidation and possess high solvent capacity compared to LCT because of their high effective concentration of ester group. MCTs produced from the distillation of coconut oil are known as glyceryl tricaprylate and comprises of saturated C8 and C10 fatty acids in the liquid state[15]. Labrafac CM 10, a MCT, has shown superior solubility for fenofibrate and produced wider microemulsion region at all surfactant/co-surfactant combinations than Maisine 35, which, is a LCT[19]. Drug substance should possess minimum solubility of 50 mg/ml in LCTs for lymphatic absorption[20]. Upon digestion, products of short and medium chain triglycerides are directed towards portal vein whereas chylomicrons formed from LCTs triggers the lymphatic transport. Further, highly hydrophobic drug substances are easily soluble in vegetable oils and can easily be formulated as simple oil solutions which are readily emulsified in the gut. However, most conventional hydrophobic drug substances do not exhibit superior solubility in LCT such as vegetable oil[21,22].Moderately hydrophobic drug substances, on the other hand, cannot be formulated into simple oil solutions as their solubility is limited. In such cases, SMEDDS are promising alternative where the drug solubility in the oil will be enhanced due to microemulsification of oil by surfactants. It is well accepted that oils with long hydrocarbon chains (high molecular volume) such as soybean oil, castor oil are difficult to microemulsify compared to MCT (low molecular volume) such as capmul MCM and Miglyol. However, solubilizing capacity of oil for lipophilic moiety increases with chain length (hydrophobic portion) of the oil. Hence the selection of oil is a compromise between the solubilizing potential and ability to facilitate the formation of microemulsion[23]. Malcolmson et al. studied the solubility of testosterone propionate in various oils for the formulation of O/W microemulsion and concluded that oils with larger molecular volume such as triglycerides show superior solubility than the corresponding micellar solution containing only surfactants without oil[24,25]. Enhancement of drug solubility in SMEDDS not only relies on the solubility of the drug in the oil but also on the surfactant(s). For instance, ethyl butyrate, small molecular volume oil, has shown higher solubility for testosterone propionate but its ME formulation has only improved the solubility slightly than the corresponding micellar solution. On the contrary, Miglyol 812 which is a larger molecular volume oil has shown improved solubilization in the ME formulation though the solubility of testosterone propionate is less in the individual components compared to ethyl butyrate[24].

Drug solubility in lipid:

Oil component alters the solubility of the drug in SMEDDS by penetrating into the hydrophobic portion of the surfactant monolayer. Extent of oil penetration varies and depends on the molecular volume, polarity, size and shape of the oil molecule. Overall drug solubility in SMEDDS is always higher than the solubility of drug in individual excipients that combine to form SMEDDS. However, such higher solubility considerably depends on the solubility of drug in oil phase, interfacial locus of the drug and drug-surfactant interactions at the interface[26]. In light scattering experiments, it was observed that oils with small molecular volume act like co-surfactants and penetrate into the surfactant monolayer. This forms thinner polyoxyethylene chains near the hydrophobic core of the micelle disrupting the main locus of the drug solubilization due to which, a higher solubility of drug is not observed. Large molecular volume oils, however, forms a distinct core and do not penetrate effectively into the surfactant monolayer. The locus of drug solubilization was found to be effected by the microstructure and solubility of the drug in the excipients. The locus of drug solubilization was found to be at the interface of micelle for phytosterols whereas the same for cholesterol was found to be between the hydrophobic head groups of surfactant molecules. This is attributed to altered side chain flexibility of phytosterol due to the additional substitution of alkyl side chain compared to cholesterol[27].In addition to molecular volume and polarity of the oil, drug solubility in oil is affected by physicochemical properties of drug molecule itself. Consideration of BCS classification and Lipinski''s rule of 5 for the selection of drug is only useful during initial screening stages. As per BCS classification, some of the acidic drugs are listed in Class II despite having good absorption and disposition as they do not satisfy the requirement of higher solubility at low pH values. Lipinski''s rule of 5, on the other hand, holds good only when the drug is not a substrate for the active transporter[4]. This suggests that aqueous solubility and log P alone are not sufficient to predict the solubility of drug in the oil. This further indicates that the solubility of any two drugs with similar log P would not be the same due to their different physicochemical properties.To demonstrate this, a study was conducted in our laboratory with two antihypertensive drugs having close partition coefficient (log P) values, different aqueous solubility and varying physicochemical properties. Candesartan cilexetil is hydrophobic and has log P value of 7.3, molecular weight 610.66 g/mol with a polar surface area 135.77 whereas, valsartan is slightly soluble in aqueous phase with log P value of 5.3, molecular weight 434.53 g/mol with a polar surface area 103.48 (clogP and polar surface area were calculated using chembiodraw ultra 11.0). Unlike candesartan cilexetil, valsartan exhibits pH dependent solubility[28].If only log P and aqueous solubility of these two drugs are considered, it is only natural to assume that candesartan cilexetil would be highly soluble in lipid phase whereas valsartan would be less soluble. A specific and sensitive HPLC-UV method was developed and validated to measure the super saturation solubility of these two drugs in various oils and the results showed a completely different solubility profiles. Solubility profile of these two drugs in different oil phase is given in fig. 2.Open in a separate windowFig. 2Solubility of active ingredients in various oils. Valsartan, candesartan cilexetil.Although log P and polar surface area of valsartan and candesartan cilexetil are closer, their solubility with triacetin, castor oil and capmul MCM C8 differs significantly. This may be attributed to the hydrogen bonding capacity and electrostatic interaction of both the scaffold with the oils. Nevertheless, valsartan is having aliphatic carboxylic group which is expected to be involved in hydrogen bond interaction with the hydrogen acceptor functionality of the triacetin as well as castor oil. We assume that the branched chain aliphatic ester moiety of triacetin, capmul MCM C8 and castor oil gets involved in the electrostatic repulsion with cilexetil part of candesartan. In case of valsartan, such electrostatic interactions are not possible. Furthermore, aliphatic ester chain of triacetin and castor oil may solvate the lipophilic chain of valsartan more favorably than candesartan in the absence of any electrostatic repulsion (proposed interaction is shown in fig. 3). However, significant difference was not observed with other oils such as olive oil, peanut oil, corn oil, miglyol 810, sunflower oil and soybean oil (data not shown).Open in a separate windowFig. 3Proposed interactions of valsartan and candesartan cilexetil with triacetin.     

Complex interactions between the laminin alpha 4 subunit and integrins regulate endothelial cell behavior in vitro and angiogenesis in vivo

The alpha4 laminin subunit is a component of the basement membrane of blood vessels where it codistributes with the integrins alphavbeta3, alpha3beta1, and alpha6beta1. An antibody against the G domain (residues 919-1207; G(919-1207)) of the alpha4 laminin subunit inhibits angiogenesis in a mouse-human chimeric model, indicating the functional importance of this domain. Additional support for the latter derives from the ability of recombinant G(919-1207) to support endothelial cell adhesion. In particular, endothelial cell adhesion to G(919-1207) is half-maximal at 1.4 nM, whereas residues 919-1018 and 1016-1207 of the G domain are poor cellular ligands. Function blocking antibodies against integrins alphavbeta3 and beta1 and a combination of antibodies against alpha3 and alpha6 integrin subunits inhibit endothelial cell attachment to G(919-1207). Moreover, both alphavbeta3 and alpha3beta1 integrin bind with high affinity to G(919-1207). Together, our studies demonstrate that the G domain of laminin alpha4 chain is a specific, high affinity ligand for the alphavbeta3 and alpha3beta1 integrin heterodimers and that these integrins, together with alpha6beta1, function cooperatively to mediate endothelial cell-alpha4 laminin interaction and hence blood vessel development. We propose a model based on these data that reconcile apparent discrepancies in the recent literature with regard to the role of the alphavbeta3 integrin in angiogenesis.     

Status epilepticus: An association with pyrethroid poisoning

This report describes a 35 year old male who presented with seizures after consuming 4-5 bottles of “ALL-OUT” a commercial composition of pyrethroid used as insecticides. Our case report supports authors reporting an association of pyrethroid poisoning with status epilepticus.     

Identifying Areas for Operational Improvement and Growth in IR Workflow Using Workflow Modeling,Simulation, and Optimization Techniques

Identifying areas for workflow improvement and growth is essential for an interventional radiology (IR) department to stay competitive. Deployment of traditional methods such as Lean and Six Sigma helped in reducing the waste in workflows at a strategic level. However, achieving efficient workflow needs both strategic and tactical approaches. Uncertainties about patient arrivals, staff availability, and variability in procedure durations pose hindrances to efficient workflow and lead to delayed patient care and staff overtime. We present an alternative approach to address both tactical and strategic needs using discrete event simulation (DES) and simulation based optimization methods. A comprehensive digital model of the patient workflow in a hospital-based IR department was modeled based on expert interviews with the incumbent personnel and analysis of 192 days’ worth of electronic medical record (EMR) data. Patient arrival patterns and process times were derived from 4393 individual patient appointments. Exactly 196 unique procedures were modeled, each with its own process time distribution and rule-based procedure-room mapping. Dynamic staff schedules for interventional radiologists, technologists, and nurses were incorporated in the model. Stochastic model simulation runs revealed the resource “computed tomography (CT) suite” as the major workflow bottleneck during the morning hours. This insight compelled the radiology department leadership to re-assign time blocks on a diagnostic CT scanner to the IR group. Moreover, this approach helped identify opportunities for additional appointments at times of lower diagnostic scanner utilization. Demand for interventional service from Outpatients during late hours of the day required the facility to extend hours of operations. Simulation-based optimization methods were used to model a new staff schedule, stretching the existing pool of resources to support the additional 2.5 h of daily operation. In conclusion, this study illustrates that the combination of workflow modeling, stochastic simulations, and optimization techniques is a viable and effective approach for identifying workflow inefficiencies and discovering and validating improvement options through what-if scenario testing.     

Case Report: Cysticercosis with an Orbital Tropism in Twins

Two fraternal twin sisters developed cysticercosis localizing to the right lateral orbit over the same period after a presumed common-source exposure in China. This case demonstrates that cysticercosis can be related to travel. Similar temporal and spatial occurrences of these infections suggest a genetic tropism of the infecting organism in these twins.     

Fall-related risk factors and osteoporosis in older women referred to an open access bone densitometry service

OBJECTIVE: Both falls and low bone density are important in the pathogenesis of osteoporotic fractures. Whilst bone density is routinely measured to assess fracture risk, little attention is given to the assessment of fall risk. In this study we have determined the prevalence and explored relationships between fall-related risk factors and osteoporosis in women referred to our open access bone densitometry service. DESIGN: Cross-sectional study. SETTING: Teaching hospital in south-west London, UK. SUBJECTS: Older women referred for open access bone densitometry. MEASUREMENTS: Bone densitometry by dual-energy X-ray absorptiometry and fall risk assessment (visual acuity, ability to do five stand-ups without arm use and ability to perform heel-toe walking). RESULTS: Data for 558 women seen over an 18 month period were examined. Their mean age was 74.8 years (range 65-93). Fall risk and femoral neck (FN) osteoporosis increased with age, with fall-related risk factors being more prevalent than FN osteoporosis at each tertile of age. Women with both FN osteoporosis and fall-related risk factors ranged from 7% in the youngest tertile to 22% in the oldest tertile. In women with FN osteoporosis, increased fall risk was found in 37% in the youngest tertile, increasing to 63% in the oldest tertile. CONCLUSIONS: Fall-related risk factors are common in older women referred for open access bone densitometry. We recommend that both bone density and fall risk assessment, using simple screening tests for falls, are essential to determine fracture risk in older people referred for bone densitometry. Subsequent management to reduce fracture risk should be individualised for each patient.