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OALib Journal期刊

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Prevalencia de desnutrición en pacientes oncológicos
Dufau,Lucrecia;
Diaeta , 2010,
Abstract: hyponutrition prevalence among cancer patients is a common problem; malnutrition incidence is estimated in 15 to 40% at cancer diagnosis, and reaches 80% in cases of advanced cancer. the consequences of hyponutrition involve a greater number of postoperative complications, longer hospital stay, higher costs, and an increased mortality. hyponutrition prevalence among cancer patients was studied at the diabetes and nutrition department of marie curie oncology hospital in patients who attended for preoperative nutritional assessment from june 2008 to december 2008. the detection method used was the ulibarri and col. (in conut system). 132 patients were evaluated. 7.2% (n=9) of the assessed patients had lost more than 10% of their usual weight within the previous six months (ci95% 2.2-12.2%); 12.9% (n=16) had lost 5 to 10% (ci95% 6.6-19.2%) of their usual weight, and 79.8% (n=99) had lost 0 to 5% of their usual weight within the previous six months (ci 95% 72.3-87.3%). serum albumin levels were higher than 3.5 g/dl in 97.7% of the assessed patients (ci 95% 94.8-100%); serum proteins were higher than 5 g/dl in 100% of the cases; serum cholesterol was lower than 180 mg/dl in 18.2% of the cases (ci95% 11.2-25.4%); and 63.6% of the sample (ci 95% 55.0-72.2%) had a total lymphocyte count below 1600/mm3. hyponutrition prevalence among evaluated cancer patients was 47.7% (ci95% 38.8-56.6%). hyponutrition appears as an important feature in the studied population and, considering its possible implications, measures should be taken to reverse this situation so that oncologic patients have an optimum nutritional status at the time of surgery.
Prevalencia de desnutrición en pacientes oncológicos Hyponutrition prevalence among cancer patients
Lucrecia Dufau
Diaeta , 2010,
Abstract: La prevalencia de desnutrición en el paciente oncológico es un problema común; se estima que la incidencia de malnutrición oscila entre 15 y 40% al momento del diagnóstico del cáncer, y aumenta hasta 80% en casos de enfermedad avanzada. Las consecuencias de la desnutrición implicarán la aparición de mayor número de complicaciones en el período postquirúrgico, estancias hospitalarias prolongadas, mayor coste económico, y una mortalidad más elevada. Se estudió la proporción de pacientes con desnutrición que concurren al servicio de Nutrición y Diabetes para Valoración del Estado Nutricional pre-quirúrgico en el Hospital Municipal de Oncología Marie Curie, de junio a noviembre de 2008. La detección se realizó por el método propuesto por Ulibarri y col (dentro del sistema CONUT). Fueron evaluados 132 pacientes. Un 7,2% (n=9) de la muestra presentó una pérdida de peso mayor al 10% en los últimos 6 meses (IC95%2,2-12,2%), la pérdida del 5 al 10% del peso corporal se presentó en el 12,9% (n=16) (IC95% 6,6-19,2%), predominando la pérdida de menos del 0 - 5% del peso corporal con un 79,8% (n=99) (IC 95% 72,3-87,3%). El 97,7% de la muestra presentó valores de albúmina mayores a 3,5 g/dl (IC 95% 94,8-100%); todos los evaluados presentaron valores de de proteínas totales mayor a 5 g/l; el 18,2% (IC95% 11,2-25,4%) presentó valores de colesterol menores a 180 mg/dl; y un 63,6% presentó valores inferiores a 1600 linfocitos/mm3 (IC 95% 55,0-72,2%). La prevalencia de desnutrición resultó del 47,7% (IC95% 38,8-56,6%). La desnutrición aparece como un rasgo importante en la población estudiada, y, considerando las implicaciones de dicha situación, deberían tomarse medidas para revertir la situación en pos de lograr que los pacientes oncológicos lleguen a la cirugía bien nutridos. Hyponutrition prevalence among cancer patients is a common problem; malnutrition incidence is estimated in 15 to 40% at cancer diagnosis, and reaches 80% in cases of advanced cancer. The consequences of hyponutrition involve a greater number of postoperative complications, longer hospital stay, higher costs, and an increased mortality. Hyponutrition prevalence among cancer patients was studied at the Diabetes and Nutrition Department of Marie Curie Oncology Hospital in patients who attended for preoperative Nutritional Assessment from June 2008 to December 2008. The detection method used was the Ulibarri and col. (in CONUT system). 132 patients were evaluated. 7.2% (n=9) of the assessed patients had lost more than 10% of their usual weight within the previous six months (CI95% 2.2-12.2%); 12.9% (n
Assimilation of SLA along track observations in the Mediterranean with an oceanographic model forced by atmospheric pressure
S. Dobricic,C. Dufau,P. Oddo,N. Pinardi
Ocean Science (OS) & Discussions (OSD) , 2012, DOI: 10.5194/os-8-787-2012
Abstract: A large number of SLA observations at a high along track horizontal resolution are an important ingredient of the data assimilation in the Mediterranean Forecasting System (MFS). Recently, new higher-frequency SLA products have become available, and the atmospheric pressure forcing has been implemented in the numerical model used in the MFS data assimilation system. In a set of numerical experiments, we show that, in order to obtain the most accurate analyses, the ocean model should include the atmospheric pressure forcing and the observations should contain the atmospheric pressure signal. When the model is not forced by the atmospheric pressure, the high-frequency filtering of SLA observations, however, improves the quality of the SLA analyses. It is further shown by comparing the power density spectra of the model fields and observations that the model is able to extract the correct information from noisy observations even without their filtering during the pre-processing.
Assimilation of SLA along track observations in the Mediterranean with an oceanographic model forced by atmospheric pressure
S. Dobricic,C. Dufau,P. Oddo,N. Pinardi
Ocean Science Discussions (OSD) , 2012, DOI: 10.5194/osd-9-1577-2012
Abstract: A large number of SLA observations at a high along track horizontal resolution are an important ingredient of the data assimilation in the Mediterranean Forecasting System (MFS). Recently new higher frequency SLA products have become available, and the atmospheric pressure forcing has been implemented in the numerical model used in the MFS data assimilation system. In a set of numerical experiments we show that in order to obtain the most accurate analyses the ocean model should include the atmospheric pressure forcing and the observations should contain the atmospheric pressure signal. When the model is not forced by the atmospheric pressure the high frequency filtering of SLA observations, however, improves the quality of the analyses. It is further shown that MFS analyses, produced by an assimilation system given by the numerical model and the high frequency SLA observations, have a correct power spectrum at high wave numbers and they filter efficiently the SLA assimilated observations which, on the other hand, are contaminated by high wavenumber noise.
Ocean state indicators from MyOcean altimeter products
L. Bessières,M. H. Rio,C. Dufau,C. Boone
Ocean Science Discussions (OSD) , 2012, DOI: 10.5194/osd-9-2081-2012
Abstract: The Sea Level Thematic Assembly Center from the MyOcean project provides observations of the ocean dynamic topography from altimeter measurements. Three specific indicators have been developed, based on altimeter data only, in order to monitor the ocean state. The first ocean indicator observes the positive and negative phases of the ENSO events in the Tropical Pacific, the El Ni o/La Ni a events since 1992. The second ocean indicator checks the contracted or extended state of the Kuroshio Extension. The last ocean indicator is dedicated to the Ionian basin in the Mediterranean Sea and permits to separate "zonal-cyclonic" state (1998–2005 and since 2011 up to now) from the "anticyclonic" state (1993–1996) usually discussed in the literature. In addition it allows identifying a third state in which both the anticyclonic circulation around the northern part of the basin and the strong zonal Mid-Ionian jet co-exist (2008–2010). Besides providing useful indices to monitor the ocean state, these indicators are a new tool to assess the long-term quality of the SLTAC products.
Role of Gonadotropin Regulated Testicular RNA Helicase (GRTH/DDX25) on Polysomal Associated mRNAs in Mouse Testis
Chon-Hwa Tsai-Morris, Hisashi Sato, Ravi Gutti, Maria L. Dufau
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0032470
Abstract: Gonadotropin Regulated Testicular RNA Helicase (GRTH/Ddx25) is a testis-specific multifunctional RNA helicase and an essential post-transcriptional regulator of spermatogenesis. GRTH transports relevant mRNAs from nucleus to cytoplasmic sites of meiotic and haploid germ cells and associates with actively translating polyribosomes. It is also a negative regulator of steroidogenesis in Leydig cells. To obtain a genome-wide perspective of GRTH regulated genes, in particularly those associated with polyribosomes, microarray differential gene expression analysis was performed using polysome-bound RNA isolated from testes of wild type (WT) and GRTH KO mice. 792 genes among the entire mouse genome were found to be polysomal GRTH-linked in WT. Among these 186 were down-regulated and 7 up-regulated genes in GRTH null mice. A similar analysis was performed using total RNA extracted from purified germ cell populations to address GRTH action in individual target cells. The down-regulation of known genes concerned with spermatogenesis at polysomal sites in GRTH KO and their association with GRTH in WT coupled with early findings of minor or unchanged total mRNAs and abolition of their protein expression in KO underscore the relevance of GRTH in translation. Ingenuity pathway analysis predicted association of GRTH bound polysome genes with the ubiquitin-proteasome-heat shock protein signaling network pathway and NFκB/TP53/TGFB1 signaling networks were derived from the differentially expressed gene analysis. This study has revealed known and unexplored factors in the genome and regulatory pathways underlying GRTH action in male reproduction.
Estimativa da deteriora??o da madeira de assoalho de prédio histórico por meio de ondas ultrass?nicas
Gatto, Darci Alberto;Goncalves, Margarete Regina Freitas;Mattos, Bruno Dufau;Calegari, Leandro;Stangerlin, Diego Martins;
CERNE , 2012, DOI: 10.1590/S0104-77602012000400015
Abstract: this study aimed to detect the external degree of decay of araucaria angustifolia (bert.) o. kuntze wood used in flooring. the visual method through grades and the non-destructive method based on the propagation of ultrasound waves were applied. the comparison between the propagation velocity of ultrasonic waves on clear wood and decayed wood showed statistical difference at the 5% level. moreover, the proportion of decay wood was inversely proportional to the velocity of propagation. the samples were evaluated only on their superficial faces, therefore additional studies to assess the influence of the wood internal defects in the ultrasonic velocity are necessary.
Evaluation of wood decay of floor of historic building using ultrasonic waves
Darci Alberto Gatto,Margarete Regina Freitas Goncalves,Bruno Dufau Mattos,Leandro Calegari
CERNE , 2012,
Abstract: This study aimed to detect the external degree of decay of Araucaria angustifolia (Bert.) O. Kuntze wood used in flooring.The visual method through grades and the non-destructive method based on the propagation of ultrasound waves were applied. The comparison between the propagation velocity of ultrasonic waves on clear wood and decayed wood showed statistical difference at the 5% level. Moreover, the proportion of decay wood was inversely proportional to the velocity of propagation. The samples were evaluated only on their superficial faces, therefore additional studies to assess the influence of the wood internal defects in the ultrasonic velocity are necessary.
Deep Learning of Orthographic Representations in Baboons
Thomas Hannagan, Johannes C. Ziegler, Stéphane Dufau, Jo?l Fagot, Jonathan Grainger
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0084843
Abstract: What is the origin of our ability to learn orthographic knowledge? We use deep convolutional networks to emulate the primate's ventral visual stream and explore the recent finding that baboons can be trained to discriminate English words from nonwords [1]. The networks were exposed to the exact same sequence of stimuli and reinforcement signals as the baboons in the experiment, and learned to map real visual inputs (pixels) of letter strings onto binary word/nonword responses. We show that the networks' highest levels of representations were indeed sensitive to letter combinations as postulated in our previous research. The model also captured the key empirical findings, such as generalization to novel words, along with some intriguing inter-individual differences. The present work shows the merits of deep learning networks that can simulate the whole processing chain all the way from the visual input to the response while allowing researchers to analyze the complex representations that emerge during the learning process.
Multicellular tumor spheroid model to evaluate spatio-temporal dynamics effect of chemotherapeutics: application to the gemcitabine/CHK1 inhibitor combination in pancreatic cancer
Isabelle Dufau, Céline Frongia, Flavie Sicard, Laure Dedieu, Pierre Cordelier, Frédéric Ausseil, Bernard Ducommun, Annie Valette
BMC Cancer , 2012, DOI: 10.1186/1471-2407-12-15
Abstract: In order to evaluate the relevance of this model for pre-clinical studies of drug combinations, we analyzed the effect of gemcitabine alone and in combination with the CHIR-124 CHK1 inhibitor in a Capan-2 pancreatic cell MCTS model.Compared to monolayer cultures, Capan-2 MCTS exhibited resistance to gemcitabine cytotoxic effect. This resistance was amplified in EGF-deprived quiescent spheroid suggesting that quiescent cells are playing a role in gemcitabine multicellular resistance. After a prolonged incubation with gemcitabine, DNA damages and massive apoptosis were observed throughout the spheroid while cell cycle arrest was restricted to the outer cell layer, indicating that gemcitabine-induced apoptosis is directly correlated to DNA damages. The combination of gemcitabine and CHIR-124 in this MCTS model, enhanced the sensitivity to the gemcitabine antiproliferative effect in correlation with an increase in DNA damage and apoptosis.These results demonstrate that our pancreatic MCTS model, suitable for both screening and imaging analysis, is a valuable advanced tool for evaluating the spatio-temporal effect of drugs and drug combinations in a chemoresistant and microenvironment-depending tumor model.Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with less than 5% of overall patient survival after 5 years. Local and distant invasion, resistance to chemotherapy and radiotherapy and lack of early detection are responsible for this poor prognosis. Gemcitabine (2',2'-difluorodeoxycytidine, a pyrimidine nucleoside analogue) chemotherapy, is the standard treatment of the patients. The combination of gemcitabine with other chemo- or biotherapies has resulted in a very limited prognostic improvement. Recently, a high throughput RNAi screen identified the checkpoint kinase 1 (CHK1) as a gene conferring resistance to gemcitabine in pancreatic cancer cells [1]. CHK1 is a key component of the cell cycle checkpoints that are activated by genomic and r
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