11 resultados para R65
Resumo:
Foram estudadas quatro cepas silvestres de T. cruzi: M226 isolada de Calomys callosus (Rodentia) e R52, R64 e R65 isoladas de Didelphis albiventris (Marsupialia). Estes animais foram coletados no município de Formosa, Goiás, Brasil. Os aspectos abordados, relacionados com o comportamento destas cepas em camundongos "swiss" 40 e C. callosus nascidos em laboratório, foram: parasitemia, prepatência, letalidade e histopatologia. Os resultados indicaram que as quatro cepas tinham baixa virulência para os animais testados. A parasitemia sempre se apresentou baixa e regular para os C. callosus. Nos camundongos, só raramente a parasitemia era patente. A prepatência nos C. callosus variou em média entre 9,2 a 10,2 dias, enquanto nos camundongos ficou entre 12-48 dias. A letalidade para C. callosus foi 7,7% e para camundongos 12,0%. Os estudos histopatológicos mostraram que somente 17,2% dos C. callosus apresentaram parasitismo tissular, enquanto em 25% dos camundongos foram encontrados pseudocistos íntegros ou rompidos. Houve um nítido miotropismo das quatro cepas tanto nos camundongos quanto nos C. callosus.
Crescimento e diferenciação "In vitro" de cepas de Trypanosoma cruzi, isoladas de animais silvestres
Resumo:
Foram estudadas três cepas de T. cruzi isoladas de Didelphis albiventris (R52, R64 e R65) e uma isolada de Calomys callosus (M226), quanto ao comportamento "In vitro" no meio LIT. A evolução da população dos tripanossomas com relação ao crescimento e morfogênese foi acompanhada por um período de 13 dias (312 horas), em intervalos regulares. As contagens diferenciais, separando-se formas amastigotas, epimastigotas e tripomastigotas, foram realizadas na câmara de Neubauer. Os resultados obtidos levaram à conclusão de que as 4 cepas estudadas têm comportamento distintos. O melhor crescimento obtido ocorreu para a cepa M226, seguindo-se por ordem decrescente a R65, R52 e R64. Os picos das populações ocorreram como segue: M226, entre 192-264 horas; R65 entre 168-240 horas; R52 às 240 horas e R64 entre 264-312 horas.
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INTRODUCTION: Breast cancer subtyping and prognosis have been studied extensively by gene expression profiling, resulting in disparate signatures with little overlap in their constituent genes. Although a previous study demonstrated a prognostic concordance among gene expression signatures, it was limited to only one dataset and did not fully elucidate how the different genes were related to one another nor did it examine the contribution of well-known biological processes of breast cancer tumorigenesis to their prognostic performance. METHOD: To address the above issues and to further validate these initial findings, we performed the largest meta-analysis of publicly available breast cancer gene expression and clinical data, which are comprised of 2,833 breast tumors. Gene coexpression modules of three key biological processes in breast cancer (namely, proliferation, estrogen receptor [ER], and HER2 signaling) were used to dissect the role of constituent genes of nine prognostic signatures. RESULTS: Using a meta-analytical approach, we consolidated the signatures associated with ER signaling, ERBB2 amplification, and proliferation. Previously published expression-based nomenclature of breast cancer 'intrinsic' subtypes can be mapped to the three modules, namely, the ER-/HER2- (basal-like), the HER2+ (HER2-like), and the low- and high-proliferation ER+/HER2- subtypes (luminal A and B). We showed that all nine prognostic signatures exhibited a similar prognostic performance in the entire dataset. Their prognostic abilities are due mostly to the detection of proliferation activity. Although ER- status (basal-like) and ERBB2+ expression status correspond to bad outcome, they seem to act through elevated expression of proliferation genes and thus contain only indirect information about prognosis. Clinical variables measuring the extent of tumor progression, such as tumor size and nodal status, still add independent prognostic information to proliferation genes. CONCLUSION: This meta-analysis unifies various results of previous gene expression studies in breast cancer. It reveals connections between traditional prognostic factors, expression-based subtyping, and prognostic signatures, highlighting the important role of proliferation in breast cancer prognosis.
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To evaluate the effect of exercise intensity on post-exercise cardiovascular responses, 12 young normotensive subjects performed in a randomized order three cycle ergometer exercise bouts of 45 min at 30, 50 and 80% of VO2peak, and 12 subjects rested for 45 min in a non-exercise control trial. Blood pressure (BP) and heart rate (HR) were measured for 20 min prior to exercise (baseline) and at intervals of 5 to 30 (R5-30), 35 to 60 (R35-60) and 65 to 90 (R65-90) min after exercise. Systolic, mean, and diastolic BP after exercise were significantly lower than baseline, and there was no difference between the three exercise intensities. After exercise at 30% of VO2peak, HR was significantly decreased at R35-60 and R65-90. In contrast, after exercise at 50 and 80% of VO2peak, HR was significantly increased at R5-30 and R35-60, respectively. Exercise at 30% of VO2peak significantly decreased rate pressure (RP) product (RP = HR x systolic BP) during the entire recovery period (baseline = 7930 ± 314 vs R5-30 = 7150 ± 326, R35-60 = 6794 ± 349, and R65-90 = 6628 ± 311, P<0.05), while exercise at 50% of VO2peak caused no change, and exercise at 80% of VO2peak produced a significant increase at R5-30 (7468 ± 267 vs 9818 ± 366, P<0.05) and no change at R35-60 or R65-90. Cardiovascular responses were not altered during the control trial. In conclusion, varying exercise intensity from 30 to 80% of VO2peak in young normotensive humans did not influence the magnitude of post-exercise hypotension. However, in contrast to exercise at 50 and 80% of VO2peak, exercise at 30% of VO2peak decreased post-exercise HR and RP.
Resumo:
This paper proposes a spatial-temporal downscaling approach to construction of the intensity-duration-frequency (IDF) relations at a local site in the context of climate change and variability. More specifically, the proposed approach is based on a combination of a spatial downscaling method to link large-scale climate variables given by General Circulation Model (GCM) simulations with daily extreme precipitations at a site and a temporal downscaling procedure to describe the relationships between daily and sub-daily extreme precipitations based on the scaling General Extreme Value (GEV) distribution. The feasibility and accuracy of the suggested method were assessed using rainfall data available at eight stations in Quebec (Canada) for the 1961-2000 period and climate simulations under four different climate change scenarios provided by the Canadian (CGCM3) and UK (HadCM3) GCM models. Results of this application have indicated that it is feasible to link sub-daily extreme rainfalls at a local site with large-scale GCM-based daily climate predictors for the construction of the IDF relations for present (1961-1990) and future (2020s, 2050s, and 2080s) periods at a given site under different climate change scenarios. In addition, it was found that annual maximum rainfalls downscaled from the HadCM3 displayed a smaller change in the future, while those values estimated from the CGCM3 indicated a large increasing trend for future periods. This result has demonstrated the presence of high uncertainty in climate simulations provided by different GCMs. In summary, the proposed spatial-temporal downscaling method provided an essential tool for the estimation of extreme rainfalls that are required for various climate-related impact assessment studies for a given region.
Meteorological observations during RAVEN cruise from St. Augustine to New York started at 1776-10-23
Resumo:
The Climatological Database for the World's Oceans: 1750-1854 (CLIWOC) project, which concluded in 2004, abstracted more than 280,000 daily weather observations from ships' logbooks from British, Dutch, French, and Spanish naval vessels engaged in imperial business in the eighteenth and nineteenth centuries. These data, now compiled into a database, provide valuable information for the reconstruction of oceanic wind field patterns for this key period that precedes the time in which anthropogenic influences on climate became evident. These reconstructions, in turn, provide evidence for such phenomena as the El Niño-Southern Oscillation and the North Atlantic Oscillation. Of equal importance is the finding that the CLIWOC database the first coordinated attempt to harness the scientific potential of this resource represents less than 10 percent of the volume of data currently known to reside in this important but hitherto neglected source.
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Publication suspended from July 1915 to March 1919