György T. Balogh

Skin-PAMPA: a new method for fast prediction of skin penetration.

The goal of this study was to develop a quick, reliable, and cost-effective permeability model for predicting transdermal penetration of compounds. The Parallel Artificial Membrane Permeability Assay (PAMPA) was chosen for this purpose, as it already has been successfully used for estimating passive gastrointestinal absorption and blood-brain barrier permeability. To match the permeability of the rate-limiting barrier in human skin, synthetic certramides, which are analogs of the ceramides present in the stratum corneum, were selected for the skin-PAMPA model. The final skin-PAMPA membrane lipid mixture (certramide, free fatty acid, and cholesterol) was selected and optimized based on data from three different human skin databases and the final model was found to correlate well to all of the databases. The reproducibility of the skin-PAMPA model was investigated and compared to that of other PAMPA models. The homogeneity of the filter-impregnated lipid mixture membrane was confirmed with Raman microscopy. It was shown that skin-PAMPA is a quick and cost-effective research tool that can serve as a useful model of skin penetration in pharmaceutical and cosmetic research.

Nanofiltration-enabled in situ solvent and reagent recycle for sustainable continuous-flow synthesis

Abstract Solvent usage in the pharmaceutical sector accounts for as much as 90 % of the overall mass during manufacturing processes. Consequently, solvent consumption poses significant costs and environmental burdens. Continuous processing, in particular continuous‐flow reactors, have great potential for the sustainable production of pharmaceuticals but subsequent downstream processing remains challenging. Separation processes for concentrating and purifying chemicals can account for as much as 80 % of the total manufacturing costs. In this work, a nanofiltration unit was coupled to a continuous‐flow rector for in situ solvent and reagent recycling. The nanofiltration unit is straightforward to implement and simple to control during continuous operation. The hybrid process operated continuously over six weeks, recycling about 90 % of the solvent and reagent. Consequently, the E‐factor and the carbon footprint were reduced by 91 % and 19 %, respectively. Moreover, the nanofiltration unit led to a solution of the product eleven times more concentrated than the reaction mixture and increased the purity from 52.4 % to 91.5 %. The boundaries for process conditions were investigated to facilitate implementation of the methodology by the pharmaceutical sector.

Applicability of a blood-brain barrier specific artificial membrane permeability assay at the early stage of natural product-based CNS drug discovery

While numerous natural products (NPs) possess activity on central nervous system (CNS) targets, there has been no analytical approach to effectively identify compounds with high brain penetration potential in complex mixtures at the early stage of drug discovery. To overcome this issue, the performance of an in vitro parallel artificial membrane permeability assay for the blood-brain barrier (PAMPA-BBB) for natural products and for plant extracts has been validated and characterized. It was found that the PAMPA-BBB assay preserves its predictive power in the case of natural products and provides high phytochemical selectivity, which enables its use as a unique filtering tool in terms of selecting brain-penetrable compounds from plant extracts. Moreover, the present study has demonstrated that simple modifications in the assay design allow the direct use of PAMPA-BBB filtered samples in a dereplication process, as performed by NMR and LC-MS. The applicability of this procedure was demonstrated using extracts prepared from Tanacetum parthenium, Vinca major, Salvia officinalis, and Corydalis cava, representing different types of chemical diversity and complexity. Thus, the proposed protocol represents a potentially valuable strategy in the NP-based CNS drug discovery environment with a high-throughput screening platform.

Comparative evaluation of pKa prediction tools on a drug discovery dataset

Due to their impact on pharmacokinetic and pharmacodynamic properties the accurate prediction of dissociation constants is of outmost importance in drug discovery settings. The prediction accuracy, however, is typically assessed on public datasets most likely included in the training sets of the available tools. In this work we therefore tested five pK(a) prediction softwares such as ACD, Epik, Marvin, PharmaAlgorithm and Pallas on novel, never-published compounds. Our dataset consists of 177 pK(a) values of 95 structurally diverse in-house compounds prepared for real-life drug discovery programs. The thorough analysis of prediction accuracy allowed us identifying the best practice and exploring the limitations of the current methods. Mean absolute errors (0.86-1.28) obtained for this set of discovery compounds indicates the potential in the improvement of the available pK(a) prediction approaches. Limitations were further characterized by measuring and evaluating 39 pK(a) values of additional 28 commercially available compounds representing the most challenging chemotypes. We believe that these results would facilitate further developments and hopefully contribute to the necessary improvement of the prediction accuracy.

In vitro dissolution–permeation evaluation of an electrospun cyclodextrin-based formulation of aripiprazole using μFlux™

Since it is a well-known fact that among the newly discovered active pharmaceutical ingredients the number of poorly water soluble candidates is continually increasing, dissolution enhancement of poorly water soluble drugs has become one of the central challenges of pharmaceutical studies. So far the preclinical studies have been mainly focused on formulation methods to enhance the dissolution of active compounds, in many cases disregarding the fact that the formulation matrix not only affects dissolution but also has an effect on the transport through biological membranes, changing permeation of the drug molecules. The aim of this study was to test an electrospun cyclodextrin-based formulation of aripiprazole with the novel μFlux apparatus, which monitors permeation together with dissolution, and by this means better in vitro-in vivo correlation is achieved. It was evinced that a cyclodextrin-based electrospun formulation of aripiprazole has the potential to ensure fast drug delivery through the oral mucosa owing to the ultrafast dissolution of the drug from the formulation and the enhanced flux across membranes as shown by the result of the novel in vitro dissolution and permeation test.

Antioxidant activity-guided phytochemical investigation of Artemisia gmelinii Webb. ex Stechm.: Isolation and spectroscopic challenges of 3,5-O-dicaffeoyl (epi?) quinic acid and its ethyl ester

Although Artemisia gmelinii Webb. ex Stechm. has long been used in south and south-east Asia to treat many kinds of inflammatory diseases, up until now its bioactivity-coupled phytochemical characterization has not been reported. We identified one fraction of the methanolic extract of A. gmelinii as a hit in our antioxidant screening (DPPH) campaign. In order to identify the active radical scavenger components of the extract, a DPPH-HPLC spiking assay was carried out. Out of six detected known compounds caffeic acid and scopoletin had already been identified in the plant, but four of them, namely chlorogenic acid, 4-O-caffeoylquinic acid, luteolin-7-O-glucoside, and apigenin-7-O-glucoside are first described here. Moreover, the two most active compounds of the mixture, 3,5-O-dicaffeoylquinic acid (7) and its ethyl ester derivative (8) were isolated with preparative HPLC. The spectroscopic identification of 7 and 8 presented a surprising challenge due to literature ambiguities. These questions are discussed in detail.

Chemical Models of Cytochrome P450 Catalyzed Insecticide Metabolism. Application to the Oxidative Metabolism of Carbamate Insecticides

Cytochrome P450 (CP450) catalyzed oxidative metabolism of carbofuran (1), carbaryl (2), and pirimicarb (3) has been modeled using biomimetic oxidations catalyzed by iron(III) tetraarylporphyrins. Oxidation products of 1 were identified by comparison of HPLC retention times measured under standardized conditions for metabolites synthesized and characterized by (1)H and (13)C NMR spectroscopy. Comparison of product distributions to in vivo metabolic profiles revealed that the H(2)O(2)/meso-tetrakis(pentafluorophenyl)porphyrin iron(III) chloride [Fe(TF(20)PP)] system mimics the action of insect CP450s against carbofuran. The effectiveness of this system was further demonstrated by the biomimetic oxidation of other carbamate insecticides (2 and 3) monitored by HPLC/electrospray MS. The predictive power of this biomimetic model was compared to that of knowledge-based expert systems. Although similar models were recently applied in pharmaceutical research, the usefulness of this approach has first been demonstrated for the prediction of metabolic profiles of agrochemicals.

Endocytosis of fluorescent cyclodextrins by intestinal Caco-2 cells and its role in paclitaxel drug delivery

Cyclodextrins are widely used excipients in pharmaceutical formulations. They are mainly utilized as solubilizers and absorption enhancers, but recent results revealed their effects on cell membranes and pharmacological barriers. In addition to the growing knowledge on their interaction with plasma membranes, it was confirmed that cyclodextrins are able to enter cells by endocytosis. The number of the tested cyclodextrins was limited, and the role of this mechanism in drug absorption and delivery is not known. Our aim was to examine the endocytosis of fluorescently labeled hydroxypropyl-β-cyclodextrin, random methyl-β-cyclodextrin and soluble β-cyclodextrin polymer, and the cellular uptake of the fluorescent paclitaxel derivative-random methyl-β-cyclodextrin complex. The studied cyclodextrin derivatives were able to enter Caco-2 intestinal cells and localized in vesicles in the cytoplasm, while their permeability was very limited through Caco-2 monolayers. We demonstrated for the first time that the fluorescent paclitaxel derivative and rhodamine-labeled random methyl-β-cyclodextrin were detected in the same intracellular vesicles after treating cells with their inclusion complex. These results indicate that the endocytosis of cyclodextrin complexes can contribute to drug absorption processes.

pH-gradient PAMPA-based in vitro model assay for drug-induced phospholipidosis in early stage of drug discovery

In the present study we validated a widely used, high-throughput in vitro permeability model (PAMPA) to be used at the early stage of drug discovery for the phospholipidosis (PLD) prediction of drug-like compounds. Regarding the mechanism of action of PLD, our pH-gradient PAMPA system is the first noncell based model to mimic one-way transport of cationic amphiphilic drugs (CADs) from cytosol to the lysosome. Moreover, due to the fact that PLD can mainly occur in lung, liver, brain, kidney and heart, we have used similar commercially available original tissue-derived lipid fractions (heart, liver, brain), and in the case mimicking membrane of kidney and lung tissue we prepared tissue-mimetic artificial lipid mixtures in house. Metabolism of a drug can change the degree of PLD depending on the physicochemical properties of metabolites and the rate of metabolism. Our data from 57 drugs and 4 metabolites of earlier and 2 metabolites of newly recognized outliers (phenacetin and bupropion) using our pH-gradient PAMPA system show a good correlation with in vivo PLD data. Moreover, predictive ability of our best system, the lung specific pH-gradient PAMPA model was significantly better than widely used in silico models and it was also slightly better than that of the known noncell based models on our selection of compounds. Our pH-gradient PAMPA systems therefore offer mechanistically alternative, accurate and cost-effective screening tools for the early prediction of PLD potential of drug-like compounds.

First characterisation of flavonoid- and diarylheptanoid-type antioxidant phenolics in Corylus maxima by HPLC-DAD-ESI-MS

Corylus maxima Mill. (Betulaceae) leaves have been used in traditional medicine both internally and externally, nevertheless phytochemical exploration of the plant remains incomplete. In this study, the in vitro antioxidant activity and polyphenolic composition of the ethyl acetate and methanolic extracts of C. maxima leaves and bark are reported for the first time. The radical scavenging activities of the extracts were investigated by the ABTS and DPPH assays. All the extracts of C. maxima possessed notable antioxidant activity. By mean of a HPLC-DAD-ESI-TOF and a HPLC-DAD-ESI-MS/MS method, altogether twenty-two phenolics were tentatively characterised: one flavan derivative (1), seven flavonol derivatives (4, 6, 12, 13, 16, 20 and 21) and fourteen diarylheptanoids (2, 3, 5, 7-11, 14, 15, 17-19 and 22). The amount of the two main flavonoids - myricetin-3-O-rhamnoside (6) and quercetin-3-O-rhamnoside (13) - and two diarylheptanoids - oregonin (3) and hirsutenone (15) - in the extracts were determined by a validated HPLC-ESI-MS/MS method in multiple reaction monitoring (MRM) mode. Our results showed that C. maxima could be considered as a valuable source of pharmacologically important natural products that might contribute to the revaluation of the phytotherapeutical potential of the plant.