CARACTERIZACIÓN DEL ESTRÉS OXIDATIVO EN RATAS WISTAR DIABÉTICAS POR ESTREPTOZOTOCINA OXIDATIVE STRESS CARACTERIZATION IN STREPTOZOTOCIN-DIABETIC WISTAR RATS

La diabetes es un trastorno metabólico crónico de gran alcance epidemiológico. Numerosos estudios han demostrado que la diabetes mellitus se encuentra asociada al incremento de la formación de radicales libres derivados del oxígeno y a la disminución del potencial antioxidante del organismo, generando el daño oxidativo de algunos componentes de la célula tales como las proteínas, carbohidratos, lípidos y ácidos nucleicos. Este trabajo pretende establecer, en ratas Wistar, la relación dosis-respuesta de estreptozotocina frente a los niveles de glucosa y a diferentes parámetros del estatus antioxidante. Como marcadores del daño asociado a las especies de oxígeno reactivas se evaluó la actividad enzimática de catalasa y de superóxido dismutasa, la capacidad antioxidante total del plasma y la peroxidación lipídica. Los resultados obtenidos evidencian una clara relación de la dosis de estreptozotocina con los niveles de glucosa y los parámetros de estrés oxidativo evaluados luego de 20 días de la inducción de la diabetes experimental.Diabetes is a chronic metabolic disease. Numerous studies have demonstrated that diabetes mellitus is associated to free radicals increase derived from oxygen and to the organism potential antioxidant decrease generating oxidative damage of some cell components like proteins, nucleic acids, carbohydrates and lipids. After 20 days of administration of streptozotocin in Wistar rats, we have found a relationship between levels of blood glucose and some markers from antioxidant status. We evaluate oxidative stress markers like catalasa and superoxide dismutase acivities, ferric reducing ability of plasma and thiobarbituric acid reactive species

EFECTO DE NAPROXENO MICROENCAPSULADO EN MICROESFERAS DE ÁCIDO POLI (LÁCTICO-CO-GLICÓLICO) SOBRE EDEMA PLANTAR INDUCIDO POR CARRAGENINA EN RATAS EFFECT OF MICROENCAPSULATED NAPROXEN INTO POLY(LACTIDE-CO-GLYCOLIDE) MICROSPHERES ON CARRAGEENIN PAW EDEMA IN RATS

Las micropartículas son sistemas de entrega de fármacos ampliamente utilizados, que permiten mejorar la aplicabilidad terapéutica de fármacos tanto nuevos como convencionales. En el presente trabajo se elaboran micropartículas de un polímero biodegradable, ácido poli (láctico-co-glicólico), cargadas con naproxeno. Las mejores condiciones para la elaboración de las micropartículas son determinadas experimentalmente, encontrando que la relación fármaco: polímero, la cantidad de isopropanol, el volumen de fase acuosa, la velocidad de agitación y el tiempo de agitación influyen significativamente en las características de las micropartículas obtenidas. En el modelo de edema plantar inducido por carragenina en ratas Wistar, se encuentra que el naproxeno microencapsulado en dosis de 5 mg/Kg y 10 mg/Kg presenta mayor efecto antiinflamatorio que el naproxeno libre en dosis de 10 mg/Kg.ABSTRACT Microparticles are pharmaceutical dosage forms widely used because they may improve the therapeutic application of new and conventional drugs. In this work we make biodegradable microparticles with poly (lactic-co-glicolic) acid as polymer loaded with naproxen. The best microencapsulation conditions are experimentally determinate. We have found that the drug:polymer ratio, the isopropanol amount, the aqueous phase volume, the stir speed and the time of stir affect the microparticles characteristics. In the carragenin paw edema model, we have found that the microencapsulated naproxen at 5 mg/Kg and 10 mg/Kg showed greater effect than free naproxen at 10 mg/Kg

[Scheda bibliografica]: Popoli dell'Africa mediterranea in et\ue0 romana

Constraint-based reconstruction and analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental molecular systems biology data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Toolbox is a comprehensive desktop software suite of interoperable COBRA methods. It has found widespread application in biology, biomedicine, and biotechnology because its functions can be flexibly combined to implement tailored COBRA protocols for any biochemical network. This protocol is an update to the COBRA Toolbox v.1.0 and v.2.0. Version 3.0 includes new methods for quality-controlled reconstruction, modeling, topological analysis, strain and experimental design, and network visualization, as well as network integration of chemoinformatic, metabolomic, transcriptomic, proteomic, and thermochemical data. New multi-lingual code integration also enables an expansion in COBRA application scope via high-precision, high-performance, and nonlinear numerical optimization solvers for multi-scale, multi-cellular, and reaction kinetic modeling, respectively. This protocol provides an overview of all these new features and can be adapted to generate and analyze constraint-based models in a wide variety of scenarios. The COBRA Toolbox v.3.0 provides an unparalleled depth of COBRA methods.This study was funded by the National Centre of Excellence in Research (NCER) on Parkinson’s disease, the U.S. Department of Energy, Offices of Advanced Scientific Computing Research and the Biological and Environmental Research as part of the Scientific Discovery Through Advanced Computing program, grant no. DE-SC0010429. This project also received funding from the European Union’s HORIZON 2020 Research and Innovation Programme under grant agreement no. 668738 and the Luxembourg National Research Fund (FNR) ATTRACT program (FNR/A12/01) and OPEN (FNR/O16/11402054) grants. N.E.L. was supported by NIGMS (R35 GM119850) and the Novo Nordisk Foundation (NNF10CC1016517). M.A.P.O. was supported by the Luxembourg National Research Fund (FNR) grant AFR/6669348. A.R. was supported by the Lilly Innovation Fellows Award. F.J.P. was supported by the Minister of Economy and Competitiveness of Spain (BIO2016-77998-R) and the ELKARTEK Programme of the Basque Government (KK-2016/00026). I.A. was supported by a Basque Government predoctoral grant (PRE_2016_2_0044). B.Ø.P. was supported by the Novo Nordisk Foundation through the Center for Biosustainability at the Technical University of Denmark (NNF10CC1016517)

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3. 0

COnstraint-Based Reconstruction and Analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Toolbox is a comprehensive software suite of interoperable COBRA methods. It has found widespread applications in biology, biomedicine, and biotechnology because its functions can be flexibly combined to implement tailored COBRA protocols for any biochemical network. Version 3.0 includes new methods for quality controlled reconstruction, modelling, topological analysis, strain and experimental design, network visualisation as well as network integration of chemoinformatic, metabolomic, transcriptomic, proteomic, and thermochemical data. New multi-lingual code integration also enables an expansion in COBRA application scope via high-precision, high-performance, and nonlinear numerical optimisation solvers for multi-scale, multi-cellular and reaction kinetic modelling, respectively. This protocol can be adapted for the generation and analysis of a constraint-based model in a wide variety of molecular systems biology scenarios. This protocol is an update to the COBRA Toolbox 1.0 and 2.0. The COBRA Toolbox 3.0 provides an unparalleled depth of constraint-based reconstruction and analysis methods.status: publishe

Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0.

Constraint-based reconstruction and analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental molecular systems biology data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Toolbox is a comprehensive desktop software suite of interoperable COBRA methods. It has found widespread application in biology, biomedicine, and biotechnology because its functions can be flexibly combined to implement tailored COBRA protocols for any biochemical network. This protocol is an update to the COBRA Toolbox v.1.0 and v.2.0. Version 3.0 includes new methods for quality-controlled reconstruction, modeling, topological analysis, strain and experimental design, and network visualization, as well as network integration of chemoinformatic, metabolomic, transcriptomic, proteomic, and thermochemical data. New multi-lingual code integration also enables an expansion in COBRA application scope via high-precision, high-performance, and nonlinear numerical optimization solvers for multi-scale, multi-cellular, and reaction kinetic modeling, respectively. This protocol provides an overview of all these new features and can be adapted to generate and analyze constraint-based models in a wide variety of scenarios. The COBRA Toolbox v.3.0 provides an unparalleled depth of COBRA methods