70 research outputs found

    ВлияниС N(фосфономСтил)-Π³Π»ΠΈΡ†ΠΈΠ½Π° Π½Π° Ρ„ΠΎΡΡ„ΠΎΠ»ΠΈΠΏΠΎΠ»ΠΈΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Ρ€Π΅Π°ΠΊΡ†ΠΈΡŽ с участиСм фосфолипазы А2

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    The effect of N(phosphonomethyl)-glycine (glyphosate), the active ingredient of the Β«SquallΒ» herbicide in a wide range of concentrations (1-1000 |ig/ml) on phospholipolysis catalyzed by pancreatic phospholipase A2 (PLA2, 3.1.1.4), under the conditions similar to digestion in the duodenum (pH 8.0, temperature S, micellar form PC), has been studied. It has been shown that a rapid method based on the use of in vitro phospholipolytic reaction as a simple model of the process of destruction of food and phospholipids of cell membranes, is promising for preliminary evaluation of the pesticide safety to humans and animals.Π˜Π·ΡƒΡ‡Π΅Π½ΠΎ влияниС N(фосфономСтил)-Π³Π»ΠΈΡ†ΠΈΠ½Π° (глифосата) - Π΄Π΅ΠΉΡΡ‚Π²ΡƒΡŽΡ‰Π΅Π³ΠΎ вСщСства Π³Π΅Ρ€Π±ΠΈΡ†ΠΈΠ΄Π° Β«Π¨ΠΊΠ²Π°Π»Β» Π² ΡˆΠΈΡ€ΠΎΠΊΠΎΠΌ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΉ (1-1000 ΠΌΠΊΠ³/ΠΌΠ») Π½Π° Ρ„ΠΎΡΡ„ΠΎΠ»ΠΈΠΏΠΎΠ»ΠΈΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Ρ€Π΅Π°ΠΊΡ†ΠΈΡŽ, ΠΊΠ°Ρ‚Π°Π»ΠΈΠ·ΠΈΡ€ΡƒΠ΅ΠΌΡƒΡŽ панкрСатичСской фосфолипазой А2 (ЀЛА2, КЀ 3.1.1.4), Π² условиях, Π±Π»ΠΈΠ·ΠΊΠΈΡ… ΠΊ ΠΏΠΈΡ‰Π΅Π²Π°Ρ€Π΅Π½ΠΈΡŽ Π² двСнадцатипСрстной кишкС (рН 8,0, Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π° 37 Β°Π‘, мицСллярная Ρ„ΠΎΡ€ΠΌΠ° Π€Π₯). Двумя нСзависимыми ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΠΌΠΈ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² фосфолиполиза - лизофосфатилилхолина (с использованиСм Π’Π‘Π₯) ΠΈ ΠΆΠΈΡ€Π½ΠΎΠΉ кислоты (с рСгистрациСй ΠΏΠΎΠ΄ Π΅Π΅ дСйствиСм ΡΠΏΠ΅ΠΊΡ‚Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ MetHb), установлСно Ρ€Π°Π·Π½ΠΎΠ½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Π½ΠΎΠ΅ дСйствиС глифосата Π½Π° Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ЀЛА2: Π² присутствии бСзопасных для Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… Π΄ΠΎΠ· (Π΄ΠΎ 100 ΠΌΠΊΠ³/ΠΌΠ») - активация Π² 1,4 Ρ€Π°Π·Π°, Π° ΠΏΠΎΠ΄ дСйствиСм Π·Π°ΠΏΡ€Π΅Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… Π΄ΠΎΠ· (Π΄ΠΎ 1000 ΠΌΠΊΠ³/ΠΌΠ») - ΠΈΠ½Π³ΠΈΠ±ΠΈΡ€Π²Π°Π½ΠΈΠ΅ Π΄ΠΎ 20% остаточной активности. Π˜Π½Π³ΠΈΠ±ΠΈΡ‚ΠΎΡ€Π½Π°Ρ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ глифосата Π² ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ 0,5 мМ ΠΏΡ€ΠΈ Ρ„Π΅Ρ€ΠΌΠ΅Π½Ρ‚Π°Ρ‚ΠΈΠ²Π½ΠΎΠΌ Π³ΠΈΠ΄Ρ€ΠΎΠ»ΠΈΠ·Π΅ Π€Π₯ Π² мицСллярной Ρ„Π°Π·Π΅ характСризуСтся Π²Π΅Π»ΠΈΡ‡ΠΈΠ½ΠΎΠΉ Кi Ρ€Π°Π²Π½ΠΎΠΉ 24 мМ, Π° ΠΈΠ½Π³ΠΈΠ±ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ носит ΠΊΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½Ρ‹ΠΉ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€. Показано, Ρ‡Ρ‚ΠΎ экспрСсс-ΠΌΠ΅Ρ‚ΠΎΠ΄ Π½Π° основС использования in vitro фосфолиполитичСской Ρ€Π΅Π°ΠΊΡ†ΠΈΠΈ Π² качСствС простой ΠΌΠΎΠ΄Π΅Π»ΠΈ процСсса Ρ€Π°Π·Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ фосфолипи-Π΄ΠΎΠ² ΠΏΠΈΡ‰ΠΈ ΠΈ ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½Ρ‹Ρ… ΠΌΠ΅ΠΌΠ±Ρ€Π°Π½ пСрспСктивСн Π² цСлях ΠΏΡ€Π΅Π΄Π²Π°Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΎΡ†Π΅Π½ΠΊΠΈ бСзопасности пСстицидов для Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ…

    A Systems Approach for Tumor Pharmacokinetics

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    Recent advances in genome inspired target discovery, small molecule screens, development of biological and nanotechnology have led to the introduction of a myriad of new differently sized agents into the clinic. The differences in small and large molecule delivery are becoming increasingly important in combination therapies as well as the use of drugs that modify the physiology of tumors such as anti-angiogenic treatment. The complexity of targeting has led to the development of mathematical models to facilitate understanding, but unfortunately, these studies are often only applicable to a particular molecule, making pharmacokinetic comparisons difficult. Here we develop and describe a framework for categorizing primary pharmacokinetics of drugs in tumors. For modeling purposes, we define drugs not by their mechanism of action but rather their rate-limiting step of delivery. Our simulations account for variations in perfusion, vascularization, interstitial transport, and non-linear local binding and metabolism. Based on a comparison of the fundamental rates determining uptake, drugs were classified into four categories depending on whether uptake is limited by blood flow, extravasation, interstitial diffusion, or local binding and metabolism. Simulations comparing small molecule versus macromolecular drugs show a sharp difference in distribution, which has implications for multi-drug therapies. The tissue-level distribution differs widely in tumors for small molecules versus macromolecular biologic drugs, and this should be considered in the design of agents and treatments. An example using antibodies in mouse xenografts illustrates the different in vivo behavior. This type of transport analysis can be used to aid in model development, experimental data analysis, and imaging and therapeutic agent design.National Institutes of Health (U.S.) (grant T32 CA079443

    A tumor cord model for Doxorubicin delivery and dose optimization in solid tumors

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    <p>Abstract</p> <p>Background</p> <p>Doxorubicin is a common anticancer agent used in the treatment of a number of neoplasms, with the lifetime dose limited due to the potential for cardiotoxocity. This has motivated efforts to develop optimal dosage regimes that maximize anti-tumor activity while minimizing cardiac toxicity, which is correlated with peak plasma concentration. Doxorubicin is characterized by poor penetration from tumoral vessels into the tumor mass, due to the highly irregular tumor vasculature. I model the delivery of a soluble drug from the vasculature to a solid tumor using a tumor cord model and examine the penetration of doxorubicin under different dosage regimes and tumor microenvironments.</p> <p>Methods</p> <p>A coupled ODE-PDE model is employed where drug is transported from the vasculature into a tumor cord domain according to the principle of solute transport. Within the tumor cord, extracellular drug diffuses and saturable pharmacokinetics govern uptake and efflux by cancer cells. Cancer cell death is also determined as a function of peak intracellular drug concentration.</p> <p>Results</p> <p>The model predicts that transport to the tumor cord from the vasculature is dominated by diffusive transport of free drug during the initial plasma drug distribution phase. I characterize the effect of all parameters describing the tumor microenvironment on drug delivery, and large intercapillary distance is predicted to be a major barrier to drug delivery. Comparing continuous drug infusion with bolus injection shows that the optimum infusion time depends upon the drug dose, with bolus injection best for low-dose therapy but short infusions better for high doses. Simulations of multiple treatments suggest that additional treatments have similar efficacy in terms of cell mortality, but drug penetration is limited. Moreover, fractionating a single large dose into several smaller doses slightly improves anti-tumor efficacy.</p> <p>Conclusion</p> <p>Drug infusion time has a significant effect on the spatial profile of cell mortality within tumor cord systems. Therefore, extending infusion times (up to 2 hours) and fractionating large doses are two strategies that may preserve or increase anti-tumor activity and reduce cardiotoxicity by decreasing peak plasma concentration. However, even under optimal conditions, doxorubicin may have limited delivery into advanced solid tumors.</p

    PKQuest: a general physiologically based pharmacokinetic model. Introduction and application to propranolol

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    BACKGROUND: A "physiologically based pharmacokinetic" (PBPK) approach uses a realistic model of the animal to describe the pharmacokinetics. Previous PBPKs have been designed for specific solutes, required specification of a large number of parameters and have not been designed for general use. METHODS: This new PBPK program (PKQuest) includes a "Standardhuman" and "Standardrat" data set so that the user input is minimized. It has a simple user interface, graphical output and many new features: 1) An option that uses the measured plasma concentrations to solve for the time course of the gastrointestinal, intramuscular, intraperotineal or skin absorption and systemic availability of a drug – for a general non-linear system. 2) Capillary permeability limitation defined in terms of the permeability-surface area products. 4) Saturable plasma and tissue protein binding. 5) A lung model that includes perfusion-ventilation mismatch. 6) A general optimization routine using either a global (simulated annealing) or local (Powell) minimization applicable to all model parameters. RESULTS: PKQuest was applied to measurements of human propranolol pharmacokinetics and intestinal absorption. A meal has two effects: 1) increases portal blood flow by 50%; and 2) decreases liver metabolism by 20%. There is a significant delay in the oval propranolol absorption in fasting subjects that is absent in fed subjects. The oral absorption of the long acting form of propranolol continues for a period of more than 24 hours. CONCLUSIONS: PKQuest provides a new general purpose, easy to use, freely distributed and physiologically rigorous PBPK software routine
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