Biomedical subjects

Kristina Luthman

Publications and source records attributed to Kristina Luthman.

33 records · Page 2Linked to original sources

PubMed2004

Antitumor efficacy and acute toxicity of the novel dipeptide melphalanyl-p-L-fluorophenylalanine ethyl ester (J1) in vivo.

The novel alkylating dipeptide melphalanyl-p-L-fluorophenylalanine ethyl ester (J1) was evaluated for acute toxicity and antitumor activity in mice, with melphalan as a reference. To determine a safe and tolerable dose for efficacy studies the acute toxicity following intravenous injection in the tail vein was monitored using a 14-day schedule with up to four doses. The highest tested dose, 25 micromoles/kg, was considered close to this level, with minor effects on body weight gain but significant effects on hematological parameters. Melphalan and J1 appeared equitoxic with no statistically significant differences. Subsequently a mouse hollow fiber model was employed with subcutaneous implantation of fibers containing human tumor cells. Three different human tumor cell lines as well as two samples of primary human tumor cells (ovarian carcinoma and chronic lymphatic leukemia) were used as tumor models. At the dose level tested there was a marked and statistically significant decrease in both T-cell leukemia CCRF-CEM and small cell lung cancer NCI-H69 tumor cell growth and viability in response to J1 as compared with both placebo and melphalan treated groups. In primary ovarian carcinoma cells only J1 treatment resulted in significant tumor regression (net cell kill). In summary the results indicate that, despite an expected short half time in the blood circulation, the promising in vitro data from the previous studies of J1 seems translatable into the in vivo situation. At equal doses of alkylating units J1, compared to melphalan, was more active in the mouse hollow-fiber model, but showed similar general toxicity.

Animals↗

PubMed2004

Inhibition of the sensitizing effect of carvone by the addition of non-allergenic compounds.

We have previously reported a reduction of sensitization to carvone in guinea pigs when adding non-allergenic, structurally related compounds simultaneously at induction. This study investigates the criteria needed to obtain a reduction of sensitization in contact allergy. Linalool, a non-sensitizer structurally unrelated to carvone, significantly reduced the sensitizing capacity of carvone in guinea pigs. The effect of different concentrations of inhibitors in mixtures with carvone was investigated. No significant differences in response were obtained between the concentrations explored. A possible anti-inflammatory effect from the inhibitory chemicals was investigated in vitro. No suppression of the immune system was seen. This study shows that a non-allergenic compound with a structure not resembling the hapten can reduce the sensitizing effect of the hapten. It indicates that reduction of an allergenic effect might occur in consumer products that are mixtures of different chemicals. Further studies with chemically unrelated compounds with and without allergenic effect are needed.

Acyclic Monoterpenes↗

PubMed2003

Absorption classification of oral drugs based on molecular surface properties.

The aim of this study was to investigate whether easily calculated and comprehended molecular surface properties can predict drug solubility and permeability with sufficient accuracy to allow theoretical absorption classification of drug molecules. For this purpose, structurally diverse, orally administered model drugs were selected from the World Health Organization (WHO)'s list of essential drugs. The solubility and permeability of the drugs were determined using well-established in vitro methods in highly accurate experimental settings. Descriptors for molecular surface area were generated from low-energy conformations obtained by conformational analysis using molecular mechanics calculations. Correlations between the calculated molecular surface area descriptors, on one hand, and solubility and permeability, on the other, were established with multivariate data analysis (partial least squares projection to latent structures (PLS)) using training and test sets. The obtained models were challenged with external test sets. Both solubility and permeability of the druglike molecules could be predicted with high accuracy from the calculated molecular surface properties alone. The established correlations were used to perform a theoretical biopharmaceutical classification of the WHO-listed drugs into six classes, resulting in a correct prediction for 87% of the essential drugs. An external test set consisting of Food and Drug Administration (FDA) standard compounds for biopharmaceutical classification was predicted with 77% accuracy. We conclude that PLS models of easily comprehended molecular surface properties can be used to rapidly provide absorption profiles of druglike molecules early on in drug discovery.

Administration, Oral↗

PubMed2003

Efficient large scale microwave assisted Mannich reactions using substituted acetophenones.

A series of substituted acetophenones, paraformaldehyde, and symmetrical dialkylamines were used in microwave enhanced Mannich reactions. Appropriate reaction conditions in terms of choice of solvent, reaction temperature, and reaction time were studied to allow a fast and reproducible production of Mannich bases. Both small (2 mmol) and large scale reactions (40 mmol) were performed successfully, providing a series of substituted Mannich bases in moderate to high yields and high purity.

Acetophenones↗

PubMed2003

Activity of hydrolytic enzymes in tumour cells is a determinant for anti-tumour efficacy of the melphalan containing prodrug J1.

Recently, we presented a series of melphalan containing di- and tripeptides with high cytotoxic activity and J1 (l-melphalanyl-p-l-fluorophenylalanine ethyl ester) was identified as one of the most interesting compounds. It was speculated that the increased activity compared to melphalan itself, demonstrated both in vitro and in vivo, resided in increased transport over the tumour cell membrane and/or hydrolytic cleavage and liberation of melphalan inside the cells. Indeed, overexpression of hydrolytic enzymes like peptidases, esterases and proteases has been described in several types of human malignancies, thus providing a target for selective chemotherapy. In this work, the details of the increased activity was further investigated and potential tumour selectivity is discussed. The intracellular delivery of melphalan is investigated in detail using peptidase resistant dipeptide derivatives, by enzyme inhibitors and probes for enzymatic activity and by studying the time dependency of drug effect as well as intracellular drug concentrations (cellular pharmacokinetics). The results show that the activity of the dipeptide mustards is highly dependent on intracellular hydrolysis, which result in rapid intracellular release of the alkylating unit (i.e. free melphalan) in cells with high enzymatic activity. The maximum intracellular melphalan concentration following J1 exposure was reached already after 15 min, thereafter declining with a half-life of approximately 1 h. This rapid intracellular loading resulted in less reduction of activity for J1 than for melphalan and six other standard drugs when human tumour cell lines were exposed to the drugs for a limited time (simulating short half-life in vivo). Peptidase inhibitors inhibited the activity and intracellular release of melphalan, and dipeptide derivatives designed to resist the action of peptidases was less active than the corresponding normal dipeptide.

Antineoplastic Agents, Alkylating↗

PubMed2003

Antitumor activity of the alkylating oligopeptides J1 (L-melphalanyl-p-L-fluorophenylalanine ethyl ester) and P2 (L-prolyl-m-L-sarcolysyl-p-L-fluorophenylalanine ethyl ester): comparison with melphalan.

Peptichemio, a mixture of six short oligopeptides all comprising the alkylating amino acid m-L-sarcolysin, has shown clinical activity in several malignancies. Previous studies have suggested that activity mainly resides in one of the peptides, P2 (L-prolyl-m-L-sarcolysyl-p-L-fluorophenylalanine ethyl ester). In the present study the in vitro activity of P2 was further investigated and compared to melphalan and the novel alkylating dipeptide J1 (L-melphalanyl-p-L-fluorophenylalanine ethyl ester), which is structurally related to P2 and melphalan. Cytotoxic activity was studied using patient tumor cells in a non-clonogenic cytotoxicity assay, whereas cellular response, and kinetics thereof, were studied in the lymphoma cell line U-937 GTB. Cellular metabolism was studied using microphysiometry, kinetic effects on macromolecular synthesis by radiolabeled substrate incorporation and, finally, the microculture kinetic assay of apoptosis was used to monitor morphologic changes following drug exposure. The assays compared P2 favorably with melphalan. Interestingly J1 was even more cytotoxic, and produced more pronounced effects in the kinetic assays for macromolecular synthesis, metabolic activity and apoptosis. The results indicate that the delivery properties of J1 are improved compared to those of melphalan and P2.

Antineoplastic Agents, Alkylating↗

PubMed2003

Structure-activity relationship for alkylating dipeptide nitrogen mustard derivatives.

The strategy of using small peptides for effective targeting of tumor cells in chemotherapy has proven beneficial. Recently we showed that J1 (L-melphalanyl-p-L-fluorophenylalanine ethyl ester), an alkylating nitrogen mustard-containing dipeptide, exhibited strong cytotoxic activity in fresh human tumor samples in addition to rapid and pronounced inhibition of macromolecular syntheses and cellular respiration in the human tumor lymphoma cell line U-937 GTB. In this study, an additional series of 17 nitrogen mustard-containing dipeptides has been synthesized and analyzed for cytotoxic activity in a panel of 10 human tumor cell lines. The results were compared to the single amino acid mustard derivative melphalan and its ethyl and isopropyl esters. Also P2 (L-prolyl-m-L-sarcolysyl-p-L-fluorophenylalanine ethyl ester), a tripeptide that previously has shown impressive effects in human tumor cells, was used as reference. The tested compounds displayed various activities in the different cell lines but also showed a high correlation, indicating a similar mechanism of action. Factors like amino acid composition, amino acid sequence, modifications of the C- and N-termini, and to a minor extent the lipophilicity of the dipeptide derivatives appear to influence the in vitro activity. The results indicate that the activity of these compounds not only relies on their chemical reactivity, but also on active biological interactions such as transport across membranes and/or enzymatic liberation of reactive molecular entities.

Alkylation↗

PubMed2003

Antitumor activity of the novel melphalan containing tripeptide J3 (L-prolyl-L-melphalanyl-p-L-fluorophenylalanine ethyl ester): comparison with its m-L-sarcolysin analogue P2.

Peptichemio (PTC), a mixture of six oligopeptides all containing m-L-sarcolysin, has previously shown impressive results in clinical trials. The tripeptide P2 (L-prolyl-m-L-sarcolysyl-p-L-fluorophenylalanine ethyl ester) has been suggested as the main contributor to PTC activity. In contrast to its analogue melphalan, m-L-sarcolysin never reached clinical use. To allow a direct comparison, the corresponding melphalan containing tripeptide J3 (L-prolyl-L-melphalanyl-p-L-fluorophenylalanine ethyl ester) was synthesized and its activity was compared with that of P2; the activities of melphalan and m-L-sarcolysin were studied in parallel. Cytotoxic activity in human tumor cell lines and some fresh human tumor specimens were analyzed as well as effects on cellular metabolism, macromolecular synthesis, and preliminary evaluation of the cell death characteristics. The results show that melphalan and m-L-sarcolysin display similar activity in these systems and that the tripeptides were more active than their parent monomers. Surprisingly however, the melphalan containing tripeptide J3 demonstrated a significantly more rapid and stronger activity than the m-L-sarcolysin analogue P2. Finally, the in vivo toxicity and activity of melphalan and J3 were investigated in mice bearing human leukemia cells in s.c. fibers. The in vitro results seem translatable into the in vivo situation, demonstrating better antileukemic effect of J3 but similar side effects as melphalan.

Antineoplastic Agents, Alkylating↗

PubMed2002

Diastereoselective reduction of a chiral N-Boc-protected delta-amino-alpha,beta-unsaturated gamma-keto ester Phe-Gly dipeptidomimetic.

The readily available N-Boc-protected delta-amino alpha,beta-unsaturated gamma-keto ester 1 was diastereoselectively reduced to the corresponding alcohols 2 and 3, using boron- and aluminum-based reducing reagents. Reduction reactions were successful and resulted in anti/syn ratios of alcohols of >95:5 (80% yield), using LiAlH(O-t-Bu)(3) in EtOH at -78 degrees C under chelation control, and 5:95 (98% yield), using NB-Enantride in THF at -78 degrees C under Felkin-Anh control.

Aluminum↗

PubMed2002

Experimental and computational screening models for prediction of aqueous drug solubility.

PURPOSE: To devise experimental and computational models to predict aqueous drug solubility. METHODS: A simple and reliable modification of the shake flask method to a small-scale format was devised, and the intrinsic solubilities of 17 structurally diverse drugs were determined. The experimental solubility data were used to investigate the accuracy of commonly used theoretical and semiexperimental models for prediction of aqueous drug solubility. Computational models for prediction of intrinsic solubility, based on lipophilicity and molecular surface areas, were developed. RESULTS: The intrinsic solubilities ranged from 0.7 ng/mL to 6.0 mg/ mL, covering a range of almost seven log10 units, and the values determined with the new small-scale shake flask method agreed well with published solubility data. Solubility data computed with established theoretical models agreed poorly with the experimentally determined solubilities, but the correlations improved when experimentally determined melting points were included in the models. A new, fast computational model based on lipophilicity and partitioned molecular surface areas, which predicted intrinsic drug solubility with a good accuracy (R2 of 0.91 and RMSEtr of 0.61) was devised. CONCLUSIONS: A small-scale shake flask method for determination of intrinsic drug solubility was developed, and a promising alternative computational model for the theoretical prediction of aqueous drug solubility was proposed.

Chemical Phenomena↗

PubMed2002

Theoretical predictions of drug absorption in drug discovery and development.

The clinical development of new drugs is often terminated because of unfavourable pharmacokinetic properties such as poor intestinal absorption after oral administration. Intestinal permeability and solubility are two of the most important factors that determine the absorption properties of a compound. Efficient and reliable computational models that predict these properties as early as possible in drug discovery and development are therefore desirable. In this review, we first discuss the implementation of predictive models of intestinal drug permeability and solubility in drug discovery and development. Secondly, we discuss the mechanisms of intestinal drug permeability and computational methods that can be used to predict it. We then discuss factors influencing drug solubility and models for predicting it. We finally speculate that once these and other predictive computational models are implemented in drug discovery and development, these processes will become much more effective. Further, an increased fraction of drug candidates that are less likely to fail during clinical development will be selected.

Biological Transport↗

PubMedDate not supplied

Microwave-assisted solid-phase synthesis of 2,5-diketopiperazines: solvent and resin dependence.

Solid-phase synthesis of diketopiperazines (DKPs) was preformed using various combinations of resins (polystyrene, TentaGel, ArgoGel, and PEGA) and solvents (toluene, tert-butyl alcohol, water, and toluene/2-butanol (1:4, v/v). The DKPs were synthesized from solid-phase bound dipeptides via intramolecular aminolysis. Both thermal and microwave-assisted solid-phase synthesis of DKPs gave high yields of products independently of resin and organic solvent used; however, only the PEGA resin resulted in high yields of DKPs in water independent of heating method. The short reaction times, high yields, and the possibility to run reactions in water when an appropriate resin is used makes the microwave-assisted solid-phase synthesis the method of choice. The method should be suitable for solid-phase synthesis of diketopiperazine-based libraries.

Combinatorial Chemistry Techniques↗

PubMedDate not supplied

Molecular descriptors influencing melting point and their role in classification of solid drugs.

The aim of the study was to investigate whether easily and rapidly calculated 2D and 3D molecular descriptors could predict the melting point of drug-like compounds, to allow a melting point classification of solid drugs. The melting points for 277 structurally diverse model drugs were extracted from the 12th edition of the Merck Index. 2D descriptors mainly representing electrotopology and electron accessibilities were calculated by Molconn-Z and the AstraZeneca in-house program Selma. 3D descriptors for molecular surface areas were generated using the programs MacroModel and Marea. Correlations between the calculated descriptors and the melting point values were established with partial least squares projection to latent structures (PLS) using training and test sets. Three different descriptor matrixes were studied, and the models obtained were used for consensus modeling. The calculated properties were shown to explain 63% of the melting point. Descriptors for hydrophilicity, polarity, partial atom charge, and molecular rigidity were found to be positively correlated with melting point, whereas nonpolar atoms and high flexibility within the molecule were negatively correlated to this solid-state characteristic. Moreover, the studied descriptors were successful in providing a qualitative ranking of compounds into classes displaying a low, intermediate, or high melting point. Finally, a mechanism for the relation between the molecular descriptors and their effect on the melting point and the aqueous solubility was proposed.

Chemistry, Physical↗

PubMedDate not supplied

Virtual screening and scaffold hopping based on GRID molecular interaction fields.

In this study, a set of strategies for structure-based design using GRID molecular interaction fields (MIFs) to derive a pharmacophoric representation of a protein is reported. Thrombin, one of the key enzymes involved in the blood coagulation cascade, was chosen as the model system since abundant published experimental data are available related to both crystal structures and structurally diverse sets of inhibitors. First, a virtual screening methodology was developed either using a pharmacophore representation of the protein based on GRID MIFs or using GRID MIFs from the 3D structure of a set of chosen thrombin inhibitors. The search was done in a 3D multiconformation version of the Available Chemical Directory (ACD) database, which had been spiked with 262 known thrombin inhibitors (multiple conformers available per compound). The model managed to find 80% of the known thrombin inhibitors among the 74,291 conformers in the ACD by only searching 5% of the database; hence, a 15-fold enrichment of the library was achieved. Second, a scaffold hopping methodology was developed using GRID MIFs, giving the scaffold interaction pattern and the shape of the scaffold, together with the distance between the anchor points. The scaffolds reported by Dolle in the Journal of Combinatorial Chemistry summaries (2000 and 2001) and scaffolds built or derived from ligands cocomplexed with the thrombin enzyme were parameterized using a new set of descriptors and saved into a searchable database. The scaffold representation from the database was then compared to a template scaffold (from a thrombin crystal structure), and the thrombin-derived scaffolds included in the database were found among the top solutions. To validate the usefulness of the methodology to replace the template scaffold, the entire molecule was built (scaffold and side chains) and the resulting compounds were docked into the active site of thrombin. The docking solutions showed the same binding pattern as the cocomplexed compound, hence, showing that this method can be a valuable tool for medicinal chemists to select interchangeable core structures (scaffolds) in an easy manner and retaining the binding properties from the original ligand.

Binding Sites↗

PubMedDate not supplied

Global and local computational models for aqueous solubility prediction of drug-like molecules.

The aim of this study was to develop in silico protocols for the prediction of aqueous drug solubility. For this purpose, high quality solubility data of 85 drug-like compounds covering the total drug-like space as identified with the ChemGPS methodology were used. Two-dimensional molecular descriptors describing electron distribution, lipophilicity, flexibility, and size were calculated by Molconn-Z and Selma. Global minimum energy conformers were obtained by Monte Carlo simulations in MacroModel and three-dimensional descriptors of molecular surface area properties were calculated by Marea. PLS models were obtained by use of training and test sets. Both a global drug solubility model (R(2) = 0.80, RMSE(te) = 0.83) and subset specific models (after dividing the 85 compounds into acids, bases, ampholytes, and nonproteolytes) were generated. Furthermore, the final models were successful in predicting the solubility values of external test sets taken from the literature. The results showed that homologous series and subsets can be predicted with high accuracy from easily comprehensible models, whereas consensus modeling might be needed to predict the aqueous drug solubility of datasets with large structural diversity.

Computer Simulation↗