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Recent theoretical and practical applications of micellar liquid chromatography (MLC) in pharmaceutical and biomedical analysis

100%
Kawczak P., Bączek T.
Open Chemistry
|
2012
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vol. 10
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issue 3
570-584
EN
Micellar liquid chromatography (MLC) is an analytical technique belonging to the wide range of reversed-phase liquid chromatographic (RP-LC) separation techniques. MLC with the use of surfactant solutions above its critical micellar concentration (CMC) and the addition of organic modifiers is currently an important analytical tool with still growing theoretical considerations and practical applications in pharmaceutical analysis of drugs and other biologically active compounds. The use of MLC as an alternative, relatively much faster in comparison to conventional chromatographic separation techniques has several advantages, especially as being suitable for screening pharmaceutical analysis. The analytical data received from MLC analysis are considered a useful source of information to predict passive drug absorption, drug transport and other pharmacokinetics and physicochemical measures of pharmaceutical substances. In the review several MLC assays for determination of drugs and other active compounds in biological samples were compared and critically discussed. The presented overview provides information on recent applications and achievements connected with the practical use of MLC. The review covers fields of interest related to theory and mechanism of MLC separation, direct applications of MLC in pharmaceutical analysis, including optimization and efficiency of separation with the use of modification of stationary phase and mobile phase compositions as well as the determination of physicochemical characteristics of drugs by MLC. [...]
2
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Legal and economic identification and assessment of pharmacy substitution in narrow therapeutic index drugs, on the example of epileptic medications in Poland

81%
Zimmermann A., Gruchała K., Wąż P., Kawczak P.
Acta Poloniae Pharmaceutica - Drug Research
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2018
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vol. 75
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issue 6
1447-1458
EN
Currently in Poland there is neither regulation aiming at framing the complexity of substitution process arising at pharmacy level, nor further guidelines depending on drug category. FDA describes a narrow therapeutic index drug (NTI) in the 21 Code of Federal Regulations 320.33(c) and highlights that safe and effective use of such drug products require careful titration and patient monitoring. In major therapeutic areas disadvantages of the generic substitution are irrelevant or minor in comparison to the economic benefit. In epilepsy, a number of experts and professional bodies have recommended caution with generic substitution of drugs used in this condition. Aim of the study is to legally and economically identify and assess drug sub-stitution occurrence in Polish background among selected narrow therapeutic index drugs used in epilepsy. Paper is divided into two sections: first is retrospective based and tackles the data received from the National Health Fund; whereas second section takes under consideration questionnaire based results gained during medical history being collect-ed with the patients. Basing on most commonly substituted substance in epilepsy: carbamazepine, the maximum single difference in cost in substitution at the pharmacy was identified around the level of 1.7 PLN, and maximum extra pay at the same level. Ob-served/reported changes, ADRs, discomfort were provided based on the question-naire. The study highlights the necessity of planning process and evaluation of cur-rent market regulations.
3
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A policy view: gaps and weaknesses of substitution between biological products in law and economics dimension: the example of insulin

61%
Gruchała K. A., Waz P., Kawczak P., Zimmermann A., Wolnik B., Baczek T.
Acta Poloniae Pharmaceutica - Drug Research
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2018
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vol. 75
|
issue 4
1003-1015
EN
The purpose of the study is to analyze the act of substitution between biological products. Diabetes mellitus notes the greatest increase in the projected causes of deaths globally till 2030. The proper drug substitution process may help to increase the control over the disease management. In this paper authors try to identify and explain the challenges for the health policies and legislations in emerging markets and low- and middle-income countries. Analysis of retrospective data covering prescribed-dispensed insulin products was performed. The study is based on the law and economics approach with the application of the planning theory and modeling. The study shows the scope of substitution process of insulin and highlights the necessity of univocal legal approach profiled for this therapy area. Prognosis of created base model indicates at constant presence of substitution process of insulin. Substitution is to bring financial savings for patients, it is yet however unknown whether savings arising from the act of purchase will still have positive impact on undertaken therapy process in long-term period. These findings may inform about important factors and how emerging markets and low- and middle-income countries can increase progress of the substitution process.
4
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Prediction of antimicrobial activity of imidazole derivatives by artificial neural networks

52%
Wnuk M., Marszałł M., Zapęcka A., Nowaczyk A., Krysiński J., Romaszko J., Kawczak P., Bączek T., Buciński A.
Open Medicine
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2013
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vol. 8
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issue 1
1-15
EN
The main goal of our study is the analysis of data obtained from molecular modeling for a series of imidazole derivatives that possess strong antifungal activity. The research was designed to use artificial neural network (ANN) analysis to determine quantitative relationships between the structural parameters and anti-Streptococcus pyogenes activity of a series of imidazole derivatives. ANN in association with quantitative structure-activity relationships (QSAR) represents a promising tool in the search for drug candidates among the practically unlimited number of possible derivatives. In this work, a series of 286 imidazole derivatives presented as cationic three-dimensional structures was used. The activity was expressed as a logarithm of the reciprocal of the minimal inhibitory concentrations, log 1/MIC. Multilayer perceptron ANN was used for predictions of antimicrobial potency of new imidazole derivatives on the basis of their structural descriptors. The obtained correlation coefficient equaled 0.9461 for the learning set, 0.9060 for the validation set and 0.8824 for the testing set of imidazole derivatives. Hence, satisfactory and practically useful predictions of anti-Streptococcus pyogenes activity for a series of imidazole derivatives was obtained, supporting the future successful interpretation of QSAR analysis for those compounds.
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