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1.
Pharm Dev Technol ; 21(4): 511-7, 2016.
Article in English | MEDLINE | ID: mdl-25703029

ABSTRACT

During the discovery stage in lead identification/optimization, compounds are characterized for their solubilities in biorelevant media and these data are often used to model the in vivo behavior of the compounds and predict the fraction absorbed. These media are selected to closely approximate the composition of human intestinal fluid. Owing to the complexity and variability in human intestinal fluid composition, it is essential that the chosen simulated media mimic the in vivo condition as closely as possible. Several recipes have been developed and are routinely used in assessing the solubilities of compounds. It is necessary to revisit these recipes and modify them as the understanding of the human GI tract increases. In the present work, we have evaluated the solubilities of six model compounds in several media and have proposed slight modifications to the currently used recipes based on our own data and that reported in the literature.


Subject(s)
Intestinal Absorption , Intestinal Secretions/metabolism , Pharmaceutical Preparations/chemistry , Fasting , Humans , Intestinal Secretions/chemistry , Models, Biological , Pharmaceutical Preparations/metabolism , Solubility
2.
Pharm Res ; 31(2): 500-15, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24122167

ABSTRACT

PURPOSE: To correlate the polymer's degree of precipitation inhibition of indomethacin in solution to the amorphous stabilization in solid state. METHODS: Precipitation of indomethacin (IMC) in presence of polymers was continuously monitored by a UV spectrophotometer. Precipitates were characterized by PXRD, IR and SEM. Solid dispersions with different polymer to drug ratios were prepared using solvent evaporation. Crystallization of the solid dispersion was monitored using PXRD. Modulated differential scanning calorimetry (MDSC), IR, Raman and solid state NMR were used to explore the possible interactions between IMC and polymers. RESULTS: PVP K90, HPMC and Eudragit E100 showed precipitation inhibitory effects in solution whereas Eudragit L100, Eudragit S100 and PEG 8000 showed no effect on IMC precipitation. The rank order of precipitation inhibitory effect on IMC was found to be PVP K90 > Eudragit E100 > HPMC. In the solid state, polymers showing precipitation inhibitory effect also exhibited amorphous stabilization of IMC with the same rank order of effectiveness. IR, Raman and solid state NMR studies showed that rank order of crystallization inhibition correlates with strength of molecular interaction between IMC and polymers. CONCLUSIONS: Correlation is observed in the polymers ability to inhibit precipitation in solution and amorphous stabilization in the solid state for IMC and can be explained by the strength of drug polymer interactions.


Subject(s)
Indomethacin/chemistry , Polymers/chemistry , Solutions/chemistry , Acrylates/chemistry , Chemical Precipitation , Crystallization , Polyethylene Glycols/chemistry , Polymethacrylic Acids/chemistry , Polyvinyls/chemistry , Pyrrolidines/chemistry , Solubility , Solvents/chemistry
3.
Pharm Res ; 24(6): 1118-30, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17385020

ABSTRACT

PURPOSE: To develop a statistical model for predicting effect of food on the extent of absorption (area under the curve of time-plasma concentration profile, AUC) of drugs based on physicochemical properties. MATERIALS AND METHODS: Logistic regression was applied to establish the relationship between the effect of food (positive, negative or no effect) on AUC of 92 entries and physicochemical parameters, including clinical doses used in the food effect study, solubility (pH 7), dose number (dose/solubility at pH 7), calculated Log D (pH 7), polar surface area, total surface area, percent polar surface area, number of hydrogen bond donor, number of hydrogen bond acceptors, and maximum absorbable dose (MAD). RESULTS: For compounds with MAD >or= clinical dose, the food effect can be predicted from the dose number category and Log D category, while for compounds with MAD < clinical dose, the food effect can be predicted from the dose number category alone. With cross validation, 74 out of 92 entries (80%) were predicted into the correct category. The correct predictions were 97, 79 and 68% for compounds with positive, negative and no food effect, respectively. CONCLUSIONS: A logistic regression model based on dose, solubility, and permeability of compounds is developed to predict the food effect on AUC. Statistically, solubilization effect of food primarily accounted for the positive food effect on absorption while interference of food with absorption caused negative effect on absorption of compounds that are highly hydrophilic and probably with narrow window of absorption.


Subject(s)
Food-Drug Interactions , Pharmacokinetics , Area Under Curve
4.
J Pharm Sci ; 94(1): 199-208, 2005 Jan.
Article in English | MEDLINE | ID: mdl-15761943

ABSTRACT

A novel multicompartment dissolution system was developed by modifying a conventional six-vessel United States Pharmacopoeia dissolution system to study the dissolution and possible precipitation of poorly soluble weak bases after oral administration. The modified system includes a "gastric" compartment, an "intestinal" compartment, an "absorption" compartment, and a reservoir to simulate the dissolution and absorption in the gastrointestinal tract. Dissolution profiles of 50-mg dipyridamole (pK(a) 6.0, 12.5) tablet (2 * 25 mg Persantine tablets), 25- and 50-mg cinnarizine (pK(a) 1.95, 7.5) powders, which are poorly soluble weak bases, were generated in the system using dissolution medium with different pHs in the "gastric" compartment. The in vitro dissolution results were compared with the in vivo oral exposure data in humans. For both dipyridamole and cinnarizine, the in vitro dissolution using the multicompartment system was able to predict the pH effect on oral exposure. The results from the multicompartment system are more closely correlated with the in vivo data, compared with that from the conventional dissolution test. The system showed that although both dipyridamole and cinnarizine completely dissolved in the gastric compartment at lower pH, approximately 36% (at 25-mg dose) and 40% (at 50-mg dose) of cinnarizine precipitated in the "intestinal" compartment whereas the precipitation of dipyridamole was <10% of the initial dose. The difference in the amount "absorbed" between these two compounds in vitro is therefore primarily attributed to the precipitation potential, although no in vivo data are available to confirm this result. The difference in the amount precipitated may be explained by the lower solubility and consequently higher degree of supersaturation of cinnarizine in the "intestinal" compartment.


Subject(s)
Gastric Acidity Determination , Intestinal Absorption , Algorithms , Chromatography, High Pressure Liquid , Cinnarizine/pharmacokinetics , Dipyridamole/pharmacokinetics , Indicators and Reagents , Predictive Value of Tests , Solubility
5.
Int J Pharm ; 283(1-2): 117-25, 2004 Sep 28.
Article in English | MEDLINE | ID: mdl-15363508

ABSTRACT

The success rate of discovering new polymorphs by crystallization from solution may be increased if solvents with diverse properties are used during initial polymorph screening. In this study, eight solvent parameters, including hydrogen bond acceptor propensity, hydrogen bond donor propensity, polarity/dipolarity, dipole moment, dielectric constant, viscosity, surface tension and cohesive energy density (equal to square of solubility parameter), of 96 solvents were collected. Using the cluster statistical analysis of the parameters, these 96 solvents were separated into 15 solvent groups. Such solvent groups may provide guidelines for the judicious choice of solvents with diverse properties for polymorph screening.


Subject(s)
Chemistry, Pharmaceutical , Solvents/chemistry , Solvents/classification
6.
Int J Pharm ; 269(1): 195-202, 2004 Jan 09.
Article in English | MEDLINE | ID: mdl-14698591

ABSTRACT

BMS-480188 is a weak base. The aqueous solubility of BMS-480188 is 0.036 mg/ml at pH 6.5 at 37 degrees C. The mesylate salt of BMS-480188 was prepared to improve its solubility. Capsules containing mesylate salt alone (Formulation A) or mesylate salt with excipients, including lactose, croscarmellose sodium, sodium lauryl sulfate, syloid and magnesium stearate (Formulation B), were prepared. Both formulations show similar dissolution profiles in 1l 0.01N HCl at 37 degrees C. However, the bioavailability of Formulations A and B is 5.7 and 24%, respectively, in monkeys. Since very small amount of fluid is available in the stomach of monkeys in fasted state, 30 ml of 0.01N HCl was used as the dissolution medium to simulate the ratio of the drug to dissolution medium in vivo. The dissolution studies in 30 ml of 0.01N HCl show that the amount of drug dissolved from the Formulation B is 80% greater than the Formulation A after 2h. These results are consistent with the higher bioavailability of the formulated capsules. The pK(a) of the free base is 3.0 and the apparent solubility of the mesylate salt (>20mg/ml) is much greater than the equilibrium solubility of BMS-480188 (1.08 mg/ml) in 0.01N HCl at 37 degrees C. Therefore, the mesylate salt of BMS-480188 converts to the free base in 0.01N HCl. The presence of excipients delays the conversion of the mesylate salt to the free base in the dissolution test using 30 ml medium, leading to a greater percentage of the dissolved drugs. This inhibitory effect of excipients is masked during the dissolution using 1l medium because the concentration of the dissolved drug is below the solubility limit of BMS-480188. This study demonstrates the importance of the volume of the dissolution medium for the in vitro dissolution test to qualitatively predict the bioavailability of a salt of weak base with low intrinsic aqueous solubility.


Subject(s)
Mesylates/chemistry , Mesylates/pharmacokinetics , Solvents/chemistry , Administration, Oral , Animals , Biological Availability , Capsules , Chromatography, High Pressure Liquid , Drug Compounding , Excipients/chemistry , Hydrogen-Ion Concentration , Macaca fascicularis , Male , Mesylates/pharmacology , Solubility , Time Factors
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