28 research outputs found

    Características y manejo del cáncer de mama precoz en mujeres añosas asistidas en la Unidad Docente Asistencial de Mastología del Hospital de Clínicas en el período 2011-2018

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    Nota de contribución: Concepción y diseño del estudio: Camejo N. y Castillo C.-- Hernández A. y Delgado N.-- Recolección de los datos o realización de los experimentos: Camila Goldman, Vanra Barcena, Santiago González, Sofia Arenas, Martina Abero y María Icardo.-- Análisis e interpretación de los datos o resultados: Camejo N, Camila Goldman, Vanra Bárcena, Santiago González, Sofia Arenas, Martina Abero y María Icardo.-- Análisis estadísticos de los datos o resultados: Camejo N., Hernández A., Camila Goldman, Vanra Bárcena, Santiago González, Sofia Arenas, Martina Abero y María Icardo.-- Elaboración de un borrador del manuscrito: Camejo N., Castillo C. y Hernández A.-- Escritura del manuscrito: Camejo N., Castillo C. y Hernández A.--Supervisión del trabajo: Delgado L.Nota del Editor: El editor responsable para la publicación de este manuscrito es Juan Dapueto.Introducción: Existen pocas pautas para el tratamiento del cáncer de mama (CM) en pacientes añosas, lo que puede conducir al sub o sobre tratamiento. Objetivo: Conocer las características, manejo y la evolución del CM precoz en mujeres añosas. Material y métodos: Estudio observacional, descriptivo, transversal. Se recolectaron datos relacionados con las características clínico patológicas y la evolución de pacientes de 70 años o más tratadas por CM en el período comprendido entre el 1/1/ 2011 y el 31/12/ 2018, asistidas en el Hospital de Clínicas. Se utilizaron herramientas de estadística descriptiva y para calcular la sobrevida global (SVG) se utilizó el método de Kaplan-Meier. Resultados: se incluyeron 31 pacientes; la edad mediana al diagnóstico fue 76,8 años; las características clínico-patológicas fueron: carcinoma ductal: 71%; GH 1-2: 74,2%; estadio I: 54,8 %; sin metástasis axilares: 80,6 %; HER2-RE/RP+ 80,6%; HER2+ 16,7%, y triple negativas 3,2%. El 29% de las pacientes fueron diagnosticadas mediante tamizaje poblacional y el 74,2% recibieron tratamiento según pautas vigentes, mientras que el 38,7% fueron subtratadas y el 16,1% sobretratadas. La mediana de SVG fue de 98,7 meses. Conclusiones: Una minoría de las pacientes fue diagnosticada mediante tamizaje oblacional, el tipo histológico más frecuente fue el ductal y la prevalencia de los tumores HER2-RE/RP+ fue mayor que en las pacientes más jóvenes. La mayoría de las pacientes recibió tratamiento estándar.Introduction: There are few guidelines for the treatment of breast cancer (BC) in older patients, which can lead to under- or over treatment. Objective: To understand the characteristics, management and evolution of early BC in older women. Material and methods: Observational, descriptive, cross-sectional study. Data were collected on the clinical-pathological characteristics and evolution of patients aged 70 years or older, treated for BC in the period from 1/1/ 2011 to 31/12/ 2018, at the Hospital de Clínicas. Descriptive statistical tools were used and the Kaplan-Meier method was applied to calculate the overall survival (OS) rate. Results: 31 patients were included; median age at diagnosis was 76.8 years old; the clinical-pathological characteristics were: ductal carcinoma: 71%; HG 1-2: 74.2%; stage I: 54.8%; no axillary metastases: 80.6%; HER2-ER/PR+ 80.6%; HER2+ 16.7%, and triple negative 3.2%. Of all the patients, 29% were diagnosed through screening and 74.2% were treated according to current guidelines, while 38.7% were under-treated and 16.1% over-treated. The median OS was 98.7 months. Conclusions: A minority of patients were diagnosed by screening, the most frequent histological type was ductal and the prevalence of HER2-RE/RP+ tumors was higher than in younger patients. Most patients received standard treatment.Introdução: Existem poucas diretrizes para o tratamento do câncer de mama (CM) em pacientes idosos, o que pode levar ao sub ou excesso de tratamento. Objetivo: Conhecer as características, manejo e evolução do MC precoce em mulheres idosas. Material e métodos: estudo observacional, descritivo e transversal. Foram coletados dados relacionados às características clínico patológicas e à evolução dos pacientes com 70 anos ou mais atendidos por CM no período de 01/01/2011 a 31/12/2018, atendidos no Hospital de Clínicas. Ferramentas de estatística descritiva foram usadas e o método de Kaplan-Meier foi usado para calcular a sobrevida global (SVG). Resultados: 31 pacientes foram incluídos; a mediana de idade ao diagnóstico foi de 76,8 anos; as características clínico-patológicas foram: carcinoma ductal: 71%; GH 1-2: 74,2%; estágio I: 54,8%; sem metástases axilares: 80,6%; HER2-RE / RP + 80,6%; HER2 + 16,7% e triplo negativo 3,2%. 29% dos pacientes foram diagnosticados por triagem populacional e 74,2% receberam tratamento de acordo com as diretrizes atuais, enquanto 38,7% foram subtratados e 16,1% supertratados. O SVG médio foi de 98,7 meses. Conclusões: A minoria dos pacientes foi diagnosticada por rastreamento populacional, o tipo histológico mais frequente foi ductal e a prevalência de tumores HER2-RE / RP + foi maior do que em pacientes mais jovens. A maioria dos pacientes recebeu tratamento padrão

    Factores de Riesgo Reproductivo en pacientes con Cáncer de Mama.

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    Introduction: Breast cancer is common in women and is the leading cause of cancer death worldwide. Objective: To identify risk factors for breast cancer in a group of 300 diagnosed patients and an equal number of controls at the "Institute of Oncology and Radiobiology of Cuba" from March / 2006 to December / 2009. Methods: An epidemiological and observational case - control study was carried out at the National Institute of Oncology and Radiobiology of Cuba, in the period from March 2006 to December 2009. A survey was carried out for the collection of the information. The universe consisted of 300 patients with breast cancer and 300 controls. We studied variables such as: age of onset of menarche, menstrual cycles, menopausal status, age of menopause, number of pregnancies, parity, age of first calving, time of accumulated lactation. Results: Were risk factors: The number of pregnancies from the third (OR: 0.74, 95% CI: 0.57-0.98), parity from the third birth (OR: 0.5; 95% CI: 0.27-0.96,  irregular menses (OR: 3.62, 95% CI: 2.22-5.9), late age at menopause (OR: 1.7 , 95% CI: 1.15-2.54) and the accumulated breastfeeding time less than 5 months (OR: 1.57; 95% CI: 1.09-2.63). Conclusions: Risk factors for breast cancer in the study population were irregular menses, late age at menopause, cumulative breast-feeding time of less than 5 months.Introducción: El cáncer de mama es frecuente en mujeres y es la primera causa de muerte por cáncer en este sexo a nivel mundial. Objetivo: Identificar los factores de riesgo reproductivo para el cáncer de mama en un grupo de 300 pacientes diagnosticadas e igual número de controles en el “Instituto de Oncología y Radiobiología de Cuba” de marzo/2006 a diciembre/2009. Métodos: Se realizó un estudio epidemiológico analítico–observacional de tipo caso - control en el Instituto Nacional de Oncología y Radiobiología de Cuba, en el período comprendido de marzo del 2006 a diciembre del 2009. Para la recogida de la información se aplicó una encuesta. Se reclutaron  300 pacientes con cáncer de mama y 300 controles. Se estudiaron variables como: Edad de aparición de la menarquía, ciclos menstruales, estado menopáusico, edad de la menopausia, número de embarazos, paridad, edad del primer parto, tiempo de lactancia acumulada. Se utilizaron métodos univariados para el análisis de la información. Resultados: Se determinaron como factores que disminuyeron el riesgo: El número de embarazos a partir del tercero (OR:0,74; IC95%: 0,57-0,98), la paridad a partir del tercer parto (OR: 0,5; IC95%: 0,27-0,96), Fueron factores de riesgo: las menstruaciones irregulares (OR: 3,62; IC95%: 2,22-5,9), edad tardía a la menopausia (OR: 1,7; IC95%: 1,15-2,54) y el tiempo de lactancia acumulada menor de 5 meses (OR: 1,57; IC95%: 1,09-2,63). Conclusiones: Constituyeron factores de riesgo para el cáncer de mama en la población estudiada: las menstruaciones irregulares, edad tardía a la menopausia, tiempo de lactancia acumulada menor de 5 meses

    Maximizing resource recovery from urban wastewater through an innovative facility layout

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    [EN] This research work proposes an innovative layout for urban wastewater treatment based on anaerobic technology, microalgal cultivation and membrane technology. The proposed Water Resource Recovery Facility (WRRF) system can treat urban wastewater efficiently, complying with legal discharge limits and allowing for resource recovery, i.e. energy, nutrients and reclaimed water. In addition, the proposed layout produces less solid wastes than a conventional wastewater treatment plant (WWTP) and it is possible to recover energy as biogas, not only from the original wastewater sources but also from the biomass generated in the WRRF system

    Resource recovery from sulphate-rich sewage through an innovative anaerobic-based water resource recovery facility (WRRF)

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    [EN] This research work proposes an innovative water resource recovery facility (WRRF) for the recovery of energy, nutrients and reclaimed water from sewage, which represents a promising approach towards enhanced circular economy scenarios. To this aim, anaerobic technology, microalgae cultivation, and membrane technology were combined in a dedicated platform. The proposed platform produces a high-quality solid- and coliform-free effluent that can be directly discharged to receiving water bodies identified as sensitive areas. Specifically, the content of organic matter, nitrogen and phosphorus in the effluent was 45 mg COD.L-1 , 14.9 mg N.L-1 and 0.5 mg P.L-1 , respectively. Harvested solar energy and carbon dioxide biofixation in the form of microalgae biomass allowed remarkable methane yields (399 STP L CH 4.kg(-1) CODinf ) to be achieved, equivalent to theoretical electricity productions of around 0.52 kWh per m 3 of wastewater entering the WRRF. Furthermore, 26.6% of total nitrogen influent load was recovered as ammonium sulphate, while nitrogen and phosphorus were recovered in the biosolids produced (650 +/- 77 mg N.L-1 and 121.0 +/- 7.2 mg P.L-1).This research was supported by the Spanish Ministry of Economy and Competitiveness (MINECO, Projects CTM2014-54980-C2-1-R and CTM2014-54980-C2-2-R) jointly with the European Regional Development Fund (ERDF), which are gratefully acknowledged. This research was also supported by the Spanish Ministry of Education, Culture and Sport via two pre-doctoral FPU fellowships (FPU14/05082 and FPU15/02595) and by the Spanish Ministry of Economy and Competitiveness via two pre-doctoral FPI fellowships (BES-2015-071884, BES-2015-073403) and one Juan de la Cierva contract (FJCI-2014-21616). The authors would also like to acknowledge the support received from Generalitat Valenciana via two VALithornd post-doctoral grants (APOSTD/2014/049 and APOSTD/2016/104) and via the fellowships APOTI/2016/059 and CPI-16-155, as well as the financial aid received from the European Climate KIC association for the 'MAB 2.0' Project (APIN0057_ 2015-3.6-230_ P066-05) and Universitat Politecnica de Valencia via a pre-doctoral FPI fellowship to the seventh author.Seco Torrecillas, A.; Aparicio Antón, SE.; Gonzalez-Camejo, J.; Jiménez Benítez, AL.; Mateo-Llosa, O.; Mora-Sánchez, JF.; Noriega-Hevia, G.... (2018). Resource recovery from sulphate-rich sewage through an innovative anaerobic-based water resource recovery facility (WRRF). Water Science & Technology. 78(9):1925-1936. https://doi.org/10.2166/wst.2018.492S19251936789Bair, R. A., Ozcan, O. O., Calabria, J. L., Dick, G. H., & Yeh, D. H. (2015). Feasibility of anaerobic membrane bioreactors (AnMBR) for onsite sanitation and resource recovery (nutrients, energy and water) in urban slums. Water Science and Technology, 72(9), 1543-1551. doi:10.2166/wst.2015.349Barat, R., Serralta, J., Ruano, M. V., Jiménez, E., Ribes, J., Seco, A., & Ferrer, J. (2013). Biological Nutrient Removal Model No. 2 (BNRM2): a general model for wastewater treatment plants. Water Science and Technology, 67(7), 1481-1489. doi:10.2166/wst.2013.004Batstone, D. J., Hülsen, T., Mehta, C. M., & Keller, J. (2015). Platforms for energy and nutrient recovery from domestic wastewater: A review. Chemosphere, 140, 2-11. doi:10.1016/j.chemosphere.2014.10.021Bilad, M. R., Arafat, H. A., & Vankelecom, I. F. J. (2014). Membrane technology in microalgae cultivation and harvesting: A review. Biotechnology Advances, 32(7), 1283-1300. doi:10.1016/j.biotechadv.2014.07.008Carrington E.-G. 2001 Evaluation of Sludge Treatments for Pathogen Reduction. http://europa.eu.int/comm/environment/pubs/home.htm.Cookney, J., Mcleod, A., Mathioudakis, V., Ncube, P., Soares, A., Jefferson, B., & McAdam, E. J. (2016). Dissolved methane recovery from anaerobic effluents using hollow fibre membrane contactors. Journal of Membrane Science, 502, 141-150. doi:10.1016/j.memsci.2015.12.037De Morais, M. G., & Costa, J. A. V. (2007). Biofixation of carbon dioxide by Spirulina sp. and Scenedesmus obliquus cultivated in a three-stage serial tubular photobioreactor. Journal of Biotechnology, 129(3), 439-445. doi:10.1016/j.jbiotec.2007.01.009Giménez, J. B., Robles, A., Carretero, L., Durán, F., Ruano, M. V., Gatti, M. N., … Seco, A. (2011). Experimental study of the anaerobic urban wastewater treatment in a submerged hollow-fibre membrane bioreactor at pilot scale. Bioresource Technology, 102(19), 8799-8806. doi:10.1016/j.biortech.2011.07.014Giménez, J. B., Martí, N., Ferrer, J., & Seco, A. (2012). Methane recovery efficiency in a submerged anaerobic membrane bioreactor (SAnMBR) treating sulphate-rich urban wastewater: Evaluation of methane losses with the effluent. Bioresource Technology, 118, 67-72. doi:10.1016/j.biortech.2012.05.019Giménez, J. B., Bouzas, A., Carrere, H., Steyer, J.-P., Ferrer, J., & Seco, A. (2018). Assessment of cross-flow filtration as microalgae harvesting technique prior to anaerobic digestion: Evaluation of biomass integrity and energy demand. Bioresource Technology, 269, 188-194. doi:10.1016/j.biortech.2018.08.052González-Camejo, J., Serna-García, R., Viruela, A., Pachés, M., Durán, F., Robles, A., … Seco, A. (2017). Short and long-term experiments on the effect of sulphide on microalgae cultivation in tertiary sewage treatment. Bioresource Technology, 244, 15-22. doi:10.1016/j.biortech.2017.07.126Martí, N., Barat, R., Seco, A., Pastor, L., & Bouzas, A. (2017). Sludge management modeling to enhance P-recovery as struvite in wastewater treatment plants. Journal of Environmental Management, 196, 340-346. doi:10.1016/j.jenvman.2016.12.074Moosbrugger R. , WentzelM. & EkamaG.1992Simple Titration Procedures to Determine H2CO3 Alkalinity and Short-chain Fatty Acids in Aqueous Solutions Containing Known Concentrations of Ammonium, Phosphate and Sulphide Weak Acid/Bases. Water. Res. Commission, Report, No. TT 57/92.Morales, N., Boehler, M., Buettner, S., Liebi, C., & Siegrist, H. (2013). Recovery of N and P from Urine by Struvite Precipitation Followed by Combined Stripping with Digester Sludge Liquid at Full Scale. Water, 5(3), 1262-1278. doi:10.3390/w5031262Pretel, R., Durán, F., Robles, A., Ruano, M. V., Ribes, J., Serralta, J., & Ferrer, J. (2015). Designing an AnMBR-based WWTP for energy recovery from urban wastewater: The role of primary settling and anaerobic digestion. Separation and Purification Technology, 156, 132-139. doi:10.1016/j.seppur.2015.09.047Pretel, R., Robles, A., Ruano, M. V., Seco, A., & Ferrer, J. (2016). Economic and environmental sustainability of submerged anaerobic MBR-based (AnMBR-based) technology as compared to aerobic-based technologies for moderate-/high-loaded urban wastewater treatment. Journal of Environmental Management, 166, 45-54. doi:10.1016/j.jenvman.2015.10.004Sharma, B., Sarkar, A., Singh, P., & Singh, R. P. (2017). Agricultural utilization of biosolids: A review on potential effects on soil and plant grown. Waste Management, 64, 117-132. doi:10.1016/j.wasman.2017.03.002Sialve, B., Bernet, N., & Bernard, O. (2009). Anaerobic digestion of microalgae as a necessary step to make microalgal biodiesel sustainable. 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    Campo Experimental Potrok Aike : resultado de 15 años de labor técnica

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    Libro de edición impresa publicado en 2005 y con edición electrónica en el año 2016.Al crearse, en el año 1985, la Estación Experimental Santa Cruz en el marco del convenio entre el INTA y la provincia de Santa Cruz surgió la necesidad de contar con un campo donde se pudieran desarrollar trabajos de investigación en ganadería, fundamentalmente ovina, y en pastizales naturales con el necesario control de diferentes variables productivas y ambientales. El gobierno provincial cedió un predio ubicado al sur de la provincia de Santa Cruz, en una zona representativa de la Estepa magallánica seca, en el extremo austral de la Patagonia. Esta publicación recopiló y organizó los datos e información dispersa resultante de más de 15 años de trabajo, y transformó esa materia prima en información accesible para técnicos y productores. Conformada por el aporte de distintos autores ofrece la información de base para describir el ambiente del Campo Experimental Potrok Aike, más las conclusiones de ensayos y experiencias llevadas a cabo en el lugar, que son perfectamente extrapolables a todo el sur provincial.EEA Santa CruzFil: Alegre, María Beatriz. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Alegre, María Beatriz. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Alegre, María Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Anglesio, Francisco. Secretaría de Medio Ambiente. Provincia de Santa Cruz. Santa Cruz; Argentina.Fil: Baetti, Carlos. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Baetti, Carlos. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Bahamonde, Héctor Alejandro. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Bahamonde, Héctor Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Barría, Julio. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Battini, Alberto. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Baumann, Osvaldo. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Borrelli, Pablo. Consultor privado. Buenos Aires; Argentina.Fil: Camejo, Ana María. Consultor privado. Trelew; Argentina.Fil: Castillo, Miguel. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Cibils, Andrés. New México State University. Department of Animal and Range Sciences; Estados UnidosFil: Ciurca, Lorena. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Clifton, Guillermo Raimundo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Clifton, Guillermo Raimundo. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Culun, Victor Pascual. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Escalada, Julián. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Ferrante, Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Ferrante, Daniela. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Gismondi, Daniel. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: González, Liliana. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Grima, Daniel. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Humano, Gervasio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Iacomini, Mónica. Secretaría de la Producción. Provincia de Santa Cruz. Santa Cruz; Argentina.Fil: Iglesias, Roberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentina.Fil: Kofalt, Bustamante Rosa. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Kofalt, Bustamante Rosa. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Kofalt, Bustamante Rosa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Lamoureux, Mabel Noemi. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Lamoureux, Mabel Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Larrosa, José. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Manero, Amanda. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Manero, Amanda. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Marcolín, Arrigo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina.Fil: Mascó, Mercedes. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Mascó, Mercedes. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Mascó, Mercedes. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Migliora, Horacio. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Milicevic, Francisco. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Montes, Leopoldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro Regional Patagonia Sur; Argentina.Fil: Oliva, Gabriel Esteban. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Oliva, Gabriel Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Osses, Julio Angel. Consejo Agrario Provincial- Provincia de Santa Cruz; Argentina.Fil: Paredes, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Peinetti, Raúl. Universidad Nacional de La Pampa. Facultad de Agronomía; Argentina.Fil: Rial, Pablo Eduardo. Ministerio de Economía y Obras Públicas. Provincia de Santa Cruz; Argentina.Fil: Rial, Pablo Eduardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Romero, Rubén. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Rosales, Valeria. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Salazar, Daniel. LU85 TV Canal 9. Auxiliar en Control de Erosión de Suelos. Provincia de Santa Cruz; Argentina.Fil: Tapia, Hector Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Chubut; Argentina.Fil: Torra, Francisco. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina.Fil: Zerpa, Débora. Universidad Nacional de la Patagonia Austral. Unidad Académica Río Gallegos; Argentina

    CP-154,526 Modifies CREB Phosphorylation and Thioredoxin-1 Expression in the Dentate Gyrus following Morphine-Induced Conditioned Place Preference.

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    Corticotropin-releasing factor (CRF) acts as neuro-regulator of the behavioral and emotional integration of environmental and endogenous stimuli associated with drug dependence. Thioredoxin-1 (Trx-1) is a functional protein controlling the redox status of several proteins, which is involved in addictive processes. In the present study, we have evaluated the role of CRF1 receptor (CRF1R) in the rewarding properties of morphine by using the conditioned place preference (CPP) paradigm. We also investigate the effects of the CRF1R antagonist, CP-154,526, on the morphine CPP-induced activation of CRF neurons, CREB phosphorylation and Trx expression in paraventricular nucleus (PVN) and dentate gyrus (DG) of the mice brain. CP-154,526 abolished the acquisition of morphine CPP and the increase of CRF/pCREB positive neurons in PVN. Moreover, this CRF1R antagonist prevented morphine-induced CRF-immunoreactive fibers in DG, as well as the increase in pCREB expression in both the PVN and DG. In addition, morphine exposure induced an increase in Trx-1 expression in DG without any alterations in PVN. We also observed that the majority of pCREB positive neurons in DG co-expressed Trx-1, suggesting that Trx-1 could activate CREB in the DG, a brain region involved in memory consolidation. Altogether, these results support the idea that CRF1R antagonist blocked Trx-1 expression and pCREB/Trx-1 co-localization, indicating a critical role of CRF, through CRF1R, in molecular changes involved in morphine associated behaviors

    Dissecting the integrative antioxidant and redox systems in plant mitochondria. Effect of stress and S-nitrosylation

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    Mitochondrial respiration provides the energy needed to drive metabolic and transport processes in cells. Mitochondria are a significant site of reactive oxygen species (ROS) production in plant cells, and redox-system components obey fine regulation mechanisms that are essential in protecting the mitochondrial integrity. In addition to ROS, there are compelling indications that nitric oxide can be generated in this organelle by both reductive and oxidative pathways. ROS and reactive nitrogen species play a key role in signaling but they can also be deleterious via oxidation of macromolecules. The high production of ROS obligates mitochondria to be provided with a set of ROS scavenging mechanisms. The first line of mitochondrial antioxidants is composed of superoxide dismutase and the enzymes of the ascorbate-glutathione cycle, which are not only able to scavenge ROS but also to repair cell damage and possibly serve as redox sensors. The dithiol-disulfide exchanges form independent signaling nodes and act as antioxidant defense mechanisms as well as sensor proteins modulating redox signaling during development and stress adaptation. The presence of thioredoxin (Trx), peroxiredoxin (Prx) and sulfiredoxin (Srx) in the mitochondria has been recently reported. Cumulative results obtained from studies in salt stress models have demonstrated that these redox proteins play a significant role in the establishment of salt tolerance. The Trx/Prx/Srx system may be subjected to a fine regulated mechanism involving post-translational modifications, among which S-glutathionylation and S-nitrosylation seem to exhibit a critical role that is just beginning to be understood. This review summarizes our current knowledge in antioxidative systems in plant mitochondria, their interrelationships, mechanisms of compensation and some unresolved questions, with special focus on their response to abiotic stress.Peer reviewedPeer Reviewe

    Experimental evidences of the NO action on a recombinant PrxII F from pea plant and its effect preventing the citrate synthase aggregation

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    S-nitrosylation is emerging as a key post-translational protein modification for the transduction of NO as a signaling molecule in plants. This data article supports the research article entitled “Functional and structural changes in plant mitochondrial PrxII F caused by NO” [1]. To identify the Cys residues of the recombinant PrxII F modified after the treatment with S-nitrosylating agents we performed the LC ESI–QTOF tandem MS and MALDI peptide mass fingerprinting analysis. Change in A650 nm was monitored to estimate the thermal aggregation of citrate synthase in the presence S-nitrosylated PrxII F. The effect of the temperature on the oligomerization pattern and aggregation of PrxII F was analysed by SDS-PAGE and changes in absorbance at 650 nm, respectively
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