118 research outputs found

    Numerical Simulation of the Medical Linear Accelerator Electron Beams Absorption by ABS-Plastic doped with Metal

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    In this paper the numerical simulation results of the dose spatial distribution of the medical electron beams in ABS-plastic doped with different concentrations of lead and zinc are shown. The dependences of the test material density on the lead and zinc mass concentrations are illustrated. The depth dose distributions of the medical electron beams in the modified ABS-plastic for three energies 6 MeV, 12 MeV and 20 MeV are tested. The electron beam shapes in the transverse plane in ABS-plastic doped with different concentrations of lead and zinc are presented

    Approaches to Pharmaceutical Analysis of Modern Peptide and Oligonucleotide Products as Illustrated by a Small Interfering RNA-Based Novel Therapeutic for the Treatment of Bronchial Asthma

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    Methods used to control the quality of peptide products depend on the level of development of analytical and bioorganic chemistry, and the level of instrumentation. Peptide identification is a difficult task and largely depends on the complexity of its structure. There does not exist a comprehensive and simple test, except for NMR, which, however, is rather expensive and time-consuming and involves complex data interpretations. Moreover, it does not allow for unambiguous determination of the peptide purity and formula (amino acid composition, sequence, chirality of amino acid residues). For this reason, a combination of methods is often used, including amino acid analysis, TLC/HPLC and mass spectrometry, and, less frequently, sequencing. Current international practice of peptide analysis is to use HPLC in combination with mass spectrometric, mainly tandem (HPLC-MS/MS), detection. According to literature sources the amino acid sequence of linear peptides can be analysed using various enzymes and subsequent identification of proteolysis products by mass spectrometry. This article presents approaches to the development of test methods for analysis of purity and identification testing of a small interfering RNA-based novel medicinal product, which will help standardise and control the quality of the production process

    Comparative study of perindopril and perindopril metabolite pharmacokinetics using the HPLC/MS method

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    Perindopril is a prodrug which is converted to an active metabolite perindoprilat in the human organism. The present study led to the development of a fast and easily reproducible procedure for simultaneous detection of perinoprilat and its metabolite in plasma using HPLC with mass-spectrometric detector (LC-MS). Detection of the target substance was performed using atmospheric pressure electrospray ionization (API-ES) techniques in negative polarity in two modes: SIM1, ion, m/z=368,10 for perindopril and SIM2, ion, m/z=339,30 for perindoprilat. Retention time of perindopril was about 2,4 min, for perindoprilat - about 1,4 min. Sample processing was performed using solid-phase extraction. The method’s limit of quantification was equal to 1 ng/ml for perindopril and 1 ng/ml for perindoprilat. The developed procedure was used to analyse pharmacokinetics and bioequivalence of medicines containing 8 mg of perindopril. Values of all calculated pharmacokinetic parameters had no statistically meaningful differences. Confidence intervals obtained fall within bioequivalence criterion (80-125% for AUC and 75-133% for Π‘max ΠΈ Cmax/AUC). The medicines under analysis were found to be bioequivalent

    Analysis of Pharmacokinetic Parameters of Acetylsalicylic Acid for Prediction of Potential Nephrotoxic Effects

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    Nonsteroidal anti-inflammatory drugs, including acetylsalicylic acid, can have a dose-dependent nephrotoxic effect. The study of the pharmacokinetics of acetylsalicylic acid products will contribute to timely detection and correction of side effects caused by this medicinal product.The aim of the study was to evaluate potential nephrotoxic effects following a single oral administration of 75 mg of acetylsalicylic acid, based on the analysis of the pharmacokinetic parameters.Materials and methods: the study involved 24 healthy volunteers who received 75 mg of acetylsalicylic acid (tablets) once orally. The measurement of the active metabolite of acetylsalicylic acidβ€”salicylic acidβ€”in blood plasma was performed by HPLC/MS using an Agilent 1200 liquid chromatography system coupled to an Agilent 6140 tandem mass spectrometer. Agilent Eclipse XDB-C18 column (4.6 mmΓ—150 mm; 5.0 ΞΌm) was used for chromatographic separation. The test procedure used in the study was validated. The results obtained were used to calculate the pharmacokinetic parameters: Cmax (maximum concentration), Tmax (time to maximum concentration), T1/2 (half-life of the drug), AUC0-t (area under the pharmacokinetic curve from 0 to the last time point of the curve), AUC0-∞ (total area under the pharmacokinetic curve from 0 to ∞), MRT (mean residence time of the drug in the blood), Kel (elimination rate constant), Cl/F (total clearance), Vd/F (apparent volume of distribution). The Statistics (22.0.0.0) software was used for statistical processing of the results.Results: T1/2 of salicylic acid in blood plasma was determined to be 1.6 Β± 0.5 h, Cmax was 4523.0 Β± 725.0 ng/mL, and Tmax was 0.98 Β± 0.4 h. AUC0–t was equal to 16183.0 Β± 3823.0 ngΓ—h/m, Vd/F was 12.0 Β± 3.1 L/kg, and MRT was 2.9 Β± 0.6 h.Conclusions: the analysis of the pharmacokinetic parameters demonstrated a high absorption rate, intensive distribution, and moderate elimination rate of salicylic acid (the main metabolite of acetylsalicylic acid), indicating a low risk of nephrotoxic effects associated with the studied dose of the drug

    Comparative Dissolution Kinetics of Several Multisource Thioctic Acid Products

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    The relationship between dissolution and bioavailability is an example of the interdependency between the quality of a medicinal product and its safety and efficacy. The uniqueness of thioctic acid is that it can exist in an oxidised and a reduced form, showing lipophilic (lipoic acid) and hydrophilic (dihydrolipoic acid) properties. Bioavailability studies of thioctic acid are necessary to evaluate the expected therapeutic effect and mitigate side effects of the medicinal product.The aim of the study was to carry out equivalence dissolution testing to compare the release of thioctic acid from medicinal products produced by several manufacturers.Materials and methods: the study used a reference medicinal product and three multisource medicinal products by different manufacturers; more specifically, film-coated tablets containing 600 mg of thioctic acid. The experiment was carried out in dissolution media at pH of 6.8Β±0.05 and 1.2Β±0.05. Statistical analysis was performed by calculating the average amounts of the substance dissolved, the standard deviation (SD), and the relative standard deviation (RSD, %) using Microsoft Office Excel 2007.Results: The authors chose the testing conditions (dissolution media pH values of 6.8Β±0.05 and 1.2Β±0.05) taking into account the nature and characteristics of thioctic acid. The comparison of thioctic acid release profiles based on the calculation of the similarity factor (f2) showed that the dissolution profiles of multisource medicinal products 2 and 3 at pH 6.8 were equivalent to that of the reference medicinal product (more than 85% of the active pharmaceutical ingredient released within 15 minutes) and the dissolution profile of multisource medicinal product 1 was not equivalent to it (with f2 of 28).Conclusions: the established differences in the rate and degree of active ingredient release from the studied medicinal products may indicate possible differences in their pharmacological effectiveness in vivo

    Retargeted adenoviruses for radiation-guided gene delivery

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    The combination of radiation with radiosensitizing gene delivery or oncolytic viruses promises to provide an advantage that could improve the therapeutic results for glioblastoma. X-rays can induce significant molecular changes in cancer cells. We isolated the GIRLRG peptide that binds to radiation-inducible 78 kDa glucose-regulated protein (GRP78), which is overexpressed on the plasma membranes of irradiated cancer cells and tumor-associated microvascular endothelial cells. The goal of our study was to improve tumor-specific adenovirus-mediated gene delivery by selectively targeting the adenovirus binding to this radiation-inducible protein. We employed an adenoviral fiber replacement approach to conduct a study of the targeting utility of GRP78-binding peptide. We have developed fiber-modified adenoviruses encoding the GRP78-binding peptide inserted into the fiber-fibritin. We have evaluated the reporter gene expression of fiber-modified adenoviruses in vitro using a panel of glioma cells and a human D54MG tumor xenograft model. The obtained results demonstrated that employment of the GRP78-binding peptide resulted in increased gene expression in irradiated tumors following infection with fiber-modified adenoviruses, compared with untreated tumor cells. These studies demonstrate the feasibility of adenoviral retargeting using the GRP78-binding peptide that selectively recognizes tumor cells responding to radiation treatment

    Π—Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ рСдокс-статуса коэнзима Q10 ΠΊΠ°ΠΊ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π° ΠΎΠΊΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ стрСсса

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    The article examines the role of ubiquinone as a redox molecule whose functions consist in electron transport in the mitochondrial respiratory chain and regeneration of endogenous antioxidants. Changes in electron redox pathways cause uncontrolled release of reactive oxygen species, which leads to oxidative stress and development of pathologies. The objective of the study was to determine the content of coenzyme Q10 and its redox status in the human body as a biomarker of oxidative stress in various pathologies. This was achieved by assessing and consolidating data on changes in concentrations of the oxidized, reduced ubiquinone forms and total ubiquinone in various pathologies. Total serum ubiquinone was reduced in patients with chronic heart failure (0.68 ΞΌmol/L) compared with the control group (0.97 ΞΌmol/L). The redox status, expressed as the [ubiquinol]/ [ubiquinone] concentration ratio, decreased in patients with coronary heart disease (0.49 Β± 0.34), diabetes (0.26 Β± 0.16) compared with the healthy subjects (1.23–1.41). A negative correlation with malonic dialdehyde was observed. The authors analysed the possibility of assessing the efficacy of statin therapy by plasma ubiquinone concentration in patients. Patients with hyperlipidemia who received statins showed a statistically significant reduction in ubiquinol concentration after taking the drug (from 0.81 to 0.46 ΞΌg/mL) and the [ubiquinone]/[total ubiquinone] ratio (from 11 to 10 %), which confirms the potential mechanism of statinassociated muscle injury development. Thus, coenzyme Q10 redox status, as well as the concentrations of oxidized, reduced and total ubiquinone can be effective biomarkers of oxidative stress in cardiovascular diseases, diabetes, as well as an important indicator in evaluating the efficacy of hyperlipidemia treatment.РассмотрСна Ρ€ΠΎΠ»ΡŒ ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ½Π° ΠΊΠ°ΠΊ рСдокс-ΠΌΠΎΠ»Π΅ΠΊΡƒΠ»Ρ‹, функциями ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ ΡΠ²Π»ΡΡŽΡ‚ΡΡ пСрСнос элСктронов Π² Π΄Ρ‹Ρ…Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Ρ†Π΅ΠΏΠΈ ΠΌΠΈΡ‚ΠΎΡ…ΠΎΠ½Π΄Ρ€ΠΈΠΈ ΠΈ рСгСнСрация эндогСнных антиоксидантов. ИзмСнСниС рСдокс-ΠΏΡƒΡ‚Π΅ΠΉ элСктронов Π²Ρ‹Π·Ρ‹Π²Π°Π΅Ρ‚ Π½Π΅ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΠΈΡ€ΡƒΠ΅ΠΌΡƒΡŽ Π²Ρ‹Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ кислорода, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ ΠΎΠΊΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΌΡƒ стрСссу ΠΈ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΡŽ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΉ. ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹ β€” выявлСниС содСрТания коэнзима Q10 ΠΈ значСния Π΅Π³ΠΎ рСдокс-статуса Π² ΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠ΅ ΠΊΠ°ΠΊ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π° ΠΎΠΊΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ стрСсса ΠΏΡ€ΠΈ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… патологиях, для Ρ‡Π΅Π³ΠΎ Π±Ρ‹Π»ΠΈ ΠΎΡ†Π΅Π½Π΅Π½Ρ‹ ΠΈ ΠΎΠ±ΠΎΠ±Ρ‰Π΅Π½Ρ‹ Π΄Π°Π½Π½Ρ‹Π΅ ΠΎ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΉ окислСнной, восстановлСнной Ρ„ΠΎΡ€ΠΌΡ‹ ΠΈ ΠΎΠ±Ρ‰Π΅Π³ΠΎ ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ½Π° ΠΏΡ€ΠΈ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… патологиях. Π‘ΠΎΠ΄Π΅Ρ€ΠΆΠ°Π½ΠΈΠ΅ ΠΎΠ±Ρ‰Π΅Π³ΠΎ ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ½Π° Π² сывороткС ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с хроничСской сСрдСчной Π½Π΅Π΄ΠΎΡΡ‚Π°Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒΡŽ Π±Ρ‹Π»ΠΎ сниТСно (0,68 мкмоль/Π») ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΠΎΠΉ Π³Ρ€ΡƒΠΏΠΏΠΎΠΉ (0,97 мкмоль/Π»). РСдокс-статус, Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½Ρ‹ΠΉ ΠΊΠ°ΠΊ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ [ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ»]/[ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ½], сниТался Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠΉ болСзнью сСрдца (0,49 Β± 0,34), Π΄ΠΈΠ°Π±Π΅Ρ‚ΠΎΠΌ (0,26 Β± 0,16) ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ со Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹ΠΌΠΈ Π»ΠΈΡ†Π°ΠΌΠΈ (1,23–1,41). ΠŸΡ€ΠΈ этом наблюдалась ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½Π°Ρ коррСляция с ΠΌΠ°Π»ΠΎΠ½ΠΎΠ²Ρ‹ΠΌ диальдСгидом. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· возмоТности ΠΎΡ†Π΅Π½ΠΊΠΈ эффСктивности статинотСрапии ΠΏΠΎ ΡΠΎΠ΄Π΅Ρ€ΠΆΠ°Π½ΠΈΡŽ ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ½Π° Π² ΠΏΠ»Π°Π·ΠΌΠ΅ ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ². Π£ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π³ΠΈΠΏΠ΅Ρ€Π»ΠΈΠΏΠΈΠ΄Π΅ΠΌΠΈΠ΅ΠΉ, ΠΏΠΎΠ»ΡƒΡ‡Π°Π²ΡˆΠΈΡ… статины, Π±Ρ‹Π»ΠΈ достовСрно сниТСны концСнтрация ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ»Π° послС ΠΏΡ€ΠΈΠ΅ΠΌΠ° ΠΏΡ€Π΅ΠΏΠ°Ρ€Π°Ρ‚Π° (с 0,81 Π΄ΠΎ 0,46 ΠΌΠΊΠ³/ΠΌΠ») ΠΈ ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ [ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ½]/[ΠΎΠ±Ρ‰ΠΈΠΉ ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ½] (с 11 Π΄ΠΎ 10 %), Ρ‡Ρ‚ΠΎ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π°Π΅Ρ‚ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹ΠΉ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌ возникновСния статин-ассоциированных ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠΉ ΠΌΡ‹ΡˆΡ†. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, рСдокс-статус коэнзима Q10, Π° Ρ‚Π°ΠΊΠΆΠ΅ концСнтрация окислСнного, восстановлСнного ΠΈ ΠΎΠ±Ρ‰Π΅Π³ΠΎ ΡƒΠ±ΠΈΡ…ΠΈΠ½ΠΎΠ½Π° ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ эффСктивными Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π°ΠΌΠΈ ΠΎΠΊΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ стрСсса ΠΏΡ€ΠΈ сСрдСчно-сосудистых заболСваниях, Π΄ΠΈΠ°Π±Π΅Ρ‚Π΅, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π²Π°ΠΆΠ½Ρ‹ΠΌ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΌ ΠΏΡ€ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ΅ эффСктивности лСчСния Π³ΠΈΠΏΠ΅Ρ€Π»ΠΈΠΏΠΈΠ΄Π΅ΠΌΠΈΠΈ

    ΠŸΠΎΠ΄Ρ…ΠΎΠ΄ ΠΊ количСствСнному ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΡŽ эндогСнных вСщСств Π² биоТидкостях хроматографичСским ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ с использованиСм матСматичСского Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π°

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    Relevance of the study: The quantification of endogenous substances is an important task in experimental and clinical pharmacology. In the case of working with endogenous compounds, certain difficulties arise. The main one is the impossibility of obtaining the same biomatrix without endogenous compounds for use as standard solutions in the construction of calibration curves.Β Purpose: The aim of our study was to develop a mathematical methodology for calculating the concentration of endogenous compounds in biological objects measured by chromatography, which allows us to obtain a statistically reliable interval estimation of the concentration of endogenous compounds.Β Materials and methods: To implement the computational part of the proposed algorithm, the Mathcad engineering calculation program version 15.0 from PTC (Parametric Technology Corporation) is used, which operates under the family of Windows operating systems (XP, 7, Vista, 8).Β Main results: A mathematical methodology has been developed for calculating the concentration of endogenous compounds in biological objects measured by chromatography, which allows one to obtain a statistically reliable interval estimate of the concentration of endogenous compounds. A feature of this technique is the use of an exclusively analyzed bioobject for quantitative determination of endogenous substances, without the use of so-called β€œpure” bioobjects for calibration curves, as well as expensive deuterated analogs of markers – substrates of CYP450 isoenzymes and their metabolites. This allows you to maintain the original biomatrix effect when removing the chromatogram. A statistical apparatus is also used to eliminate possible gross errors. To confirm the reliability of the developed method of quantitative determination, the convergence of the results obtained by this method using deuterated standards is established.Β Conclusions: A mathematical methodology has been developed for calculating the concentration of endogenous compounds in biological objects measured by chromatography, which allows one to obtain a statistically reliable interval estimate of the concentration of endogenous compounds. A feature of this technique is the use of only the analyzed bioobject for quantitative determination of endogenous substances, which allows you to maintain the original biomatrix effect when removing the chromatogram.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ исслСдования: ΠšΠΎΠ»ΠΈΡ‡Π΅ΡΡ‚Π²Π΅Π½Π½ΠΎΠ΅ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ эндогСнных вСщСств являСтся Π²Π°ΠΆΠ½ΠΎΠΉ Π·Π°Π΄Π°Ρ‡Π΅ΠΉ Π² ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΎΠΉ ΠΈ клиничСской Ρ„Π°Ρ€ΠΌΠ°ΠΊΠΎΠ»ΠΎΠ³ΠΈΠΈ. Π’ случаС Ρ€Π°Π±ΠΎΡ‚Ρ‹ с эндогСнными соСдинСниями Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‚ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Ρ‘Π½Π½Ρ‹Π΅ слоТности. Π“Π»Π°Π²Π½Ρ‹ΠΌ ΠΈΠ· Π½ΠΈΡ… являСтся Π½Π΅Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ получСния Ρ‚Π°ΠΊΠΎΠΉ ΠΆΠ΅ Π±ΠΈΠΎΠΌΠ°Ρ‚Ρ€ΠΈΡ†Ρ‹ Π±Π΅Π· эндогСнного соСдинСния для использования Π² качСствС эталонных растворов ΠΏΡ€ΠΈ построСнии ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΎΡ‡Π½Ρ‹Ρ… ΠΊΡ€ΠΈΠ²Ρ‹Ρ…. ЦСль: ЦСль исслСдования – Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° матСматичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ расчёта ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ эндогСнных соСдинСний Π² Π±ΠΈΠΎΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°Ρ… с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ хроматографичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰Π΅ΠΉ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΡ‚ΡŒ статистичСски Π΄ΠΎΡΡ‚ΠΎΠ²Π΅Ρ€Π½ΡƒΡŽ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»ΡŒΠ½ΡƒΡŽ ΠΎΡ†Π΅Π½ΠΊΡƒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ эндогСнных соСдинСний.Β ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: для Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ части ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ΡΡ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ° ΠΈΠ½ΠΆΠ΅Π½Π΅Ρ€Π½Ρ‹Ρ… расчётов Mathcad вСрсии 15.0.Β Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° матСматичСская ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° расчёта ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ эндогСнных соСдинСний Π² Π±ΠΈΠΎΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°Ρ… с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ хроматографичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², которая позволяСт ΠΏΠΎΠ»ΡƒΡ‡ΠΈΡ‚ΡŒ статистичСски Π΄ΠΎΡΡ‚ΠΎΠ²Π΅Ρ€Π½ΡƒΡŽ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»ΡŒΠ½ΡƒΡŽ ΠΎΡ†Π΅Π½ΠΊΡƒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ эндогСнных соСдинСний. ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ Π΄Π°Π½Π½ΠΎΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ являСтся использованиС ΠΈΡΠΊΠ»ΡŽΡ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΡƒΠ΅ΠΌΠΎΠ³ΠΎ Π±ΠΈΠΎΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° для провСдСния количСствСнного опрСдСлСния эндогСнных вСщСств, Π±Π΅Π· использования Ρ‚Π°ΠΊ Π½Π°Π·Ρ‹Π²Π°Π΅ΠΌΡ‹Ρ… «чистых» Π±ΠΈΠΎΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² для ΠΊΠ°Π»ΠΈΠ±Ρ€ΠΎΠ²ΠΎΡ‡Π½Ρ‹Ρ… ΠΊΡ€ΠΈΠ²Ρ‹Ρ…, Π° Ρ‚Π°ΠΊΠΆΠ΅ дорогостоящих Π΄Π΅ΠΉΡ‚Π΅Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π°Π½Π°Π»ΠΎΠ³ΠΎΠ² ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² – субстратов ΠΈΠ·ΠΎΡ„Π΅Ρ€ΠΌΠ΅Π½Ρ‚ΠΎΠ² CYP450 ΠΈ ΠΈΡ… ΠΌΠ΅Ρ‚Π°Π±ΠΎΠ»ΠΈΡ‚ΠΎΠ². Π­Ρ‚ΠΎ позволяСт ΡΠΎΡ…Ρ€Π°Π½ΠΈΡ‚ΡŒ ΠΎΡ€ΠΈΠ³ΠΈΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ Π±ΠΈΠΎΠΌΠ°Ρ‚Ρ€ΠΈΡ‡Π½Ρ‹Ρ… эффСкт ΠΏΡ€ΠΈ снятии Ρ…Ρ€ΠΎΠΌΠ°Ρ‚ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹. Π’Π°ΠΊΠΆΠ΅ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ΡΡ статистичСский Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ для ΠΈΡΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… Π³Ρ€ΡƒΠ±Ρ‹Ρ… ошибок. Для подтвСрТдСния достовСрности Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π° количСствСнного опрСдСлСния установлСна ΡΡ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ², ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹ΠΌ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ ΠΈ ΠΏΡ€ΠΈ использовании Π΄Π΅ΠΉΡ‚Π΅Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… стандартов.Β Π’Ρ‹Π²ΠΎΠ΄Ρ‹: Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° матСматичСская ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° расчёта ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ эндогСнных соСдинСний Π² Π±ΠΈΠΎΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°Ρ… с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ хроматографичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², которая позволяСт ΠΏΠΎΠ»ΡƒΡ‡ΠΈΡ‚ΡŒ статистичСски Π΄ΠΎΡΡ‚ΠΎΠ²Π΅Ρ€Π½ΡƒΡŽ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»ΡŒΠ½ΡƒΡŽ ΠΎΡ†Π΅Π½ΠΊΡƒ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ эндогСнных соСдинСний.
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