Efeitos do tratamento com erva-mate (Ilex paraguariensis) sobre desordens endócrinas e metabólicas em ratos obesos programados pelo desmame precoce

A erva-mate (Ilex paraguariensis) contribui para a perda de peso e reversão da resistência à insulina, mesmo em combinação com dieta hiperlipídica, despertando interesse do seu uso como uma possível estratégia no controle da obesidade. Previamente demonstramos que ratos desmamados precocemente desenvolvem sobrepeso, obesidade central, hiperleptinemia, resistência à insulina e à leptina na idade adulta. Propomos então avaliar os benefícios do extrato aquoso do Ilex paraguariensis sobre a composição corporal, perfis lipídico e hormonal, sinalização da leptina, neuropeptídeos envolvidos com o controle do consumo alimentar, marcadores inflamatórios e do estresse oxidativo. Para indução do desmame precoce, as tetas das ratas lactantes foram envolvidas com uma atadura para bloquear o acesso da prole ao leite materno nos últimos 3 dias da lactação (grupo DP). Os filhotes do grupo controle tiveram livre acesso ao leite durante todos os 21 dias do período de lactação normal (grupo C). Aos 150 dias de idade, as proles DP foram subdivididas em: DP e DP+Mate, de acordo com o tratamento (água ou extrato aquoso de erva-mate 1g/kg PC, respectivamente), por gavagem, diariamente, por 30 dias. As proles C receberam água por gavagem por 30 dias. Aos 180 dias de idade, os 3 grupos foram sacrificados por decapitação. Dados foram considerados significativos quando p <0,05. Aos 180 dias (1 mês após o tratamento), o grupo DP+Mate corrigiu várias alterações observadas no grupo DP, tais como maior massa corporal (+9%), massa de tecido adiposo retroperitoneal e epididimal (+34% e +39%, respectivamente), gordura corporal total (+76%), gordura subcutânea (+61%), área de adipócitos viscerais (+34%), triglicerídeos séricos (+35%), TNF-α no núcleo ARC (+57%), expressão de IL-1β no adipócito (+3,6 vezes), percentual de esteatose hepática (+4,8 vezes) e TBARS em fígado e plasma (+56%, +87%). A atividade SOD diminuída no grupo DP é normalizada pelo tratamento com mate, enquanto, paradoxalmente, a catalase que estava aumentada no grupo DP é normalizada com o tratamento com mate. As alterações de glicemia e HDL-c sérico no grupo DP não se modificaram ao final do tratamento com a erva-mate. A hiperfagia não foi observada na prole DP+Mate, provavelmente devido a normalização parcial da sensibilidade central à leptina (confirmada pelo teste do efeito anorexigênico da leptina) e pela redução de NPY e aumento de POMC. Assim, até o momento evidenciamos que o tratamento por 30 dias com extrato de erva-mate foi capaz de impedir a gênese de obesidade abdominal, a resistência à leptina, a hipertrigliceridemia e algumas alterações do perfil inflamatório e do estresse oxidativo nos ratos com obesidade programada pelo DP, tornando o uso da erva-mate como uma estratégia promissora no controle de peso e das desordens metabólicas presentes na obesidade.

Effect of sampling interval on estimates of larval supply

Estimates of larval supply can provide information on year-class strength that is useful for fisheries management. However, larval supply is difficult to monitor because long-term, high-frequency sampling is needed. The purpose of this study was to subsample an 11-year record of daily larval supply of blue crab (Callinectes sapidus) to determine the effect of sampling interval on variability in estimates of supply. The coefficient of variation in estimates of supply varied by 0.39 among years at a 2-day sampling interval and 0.84 at a 7-day sampling interval. For 8 of the 11 years, there was a significant correlation between mean daily larval supply and lagged fishery catch per trip (coefficient of correlation [r]=0.88). When these 8 years were subsampled, a 2-day sampling interval yielded a significant correlation with fishery data only 64.5% of the time and a 3-day sampling interval never yielded a significant correlation. Therefore, high-frequency sampling (daily or every other day) may be needed to characterize interannual variability in larval supply.

Staging ovaries of Haddock (Melanogrammus aeglefinus): implications for maturity indices and field sampling practices

We build on recent efforts to standardize maturation staging methods through the development of a field-proof macroscopic ovarian maturity index for Haddock (Melanogrammus aeglefinus) for studies on diel spawning periodicity. A comparison of field and histological observations helped us to improve the field index and methods, and provided useful insight into the reproductive biology of Haddock and other boreal determinate fecundity species. We found reasonable agreement between field and histological methods, except for the regressing and regenerating stages (however, differentiation of these 2 stages is the least important distinction for determination of maturity or reproductive dynamics). The staging of developing ovaries was problematic for both methods partly because of asynchronous oocyte hydration during the early stage of oocyte maturation. Although staging on the basis of histology in a laboratory is generally more accurate than macroscopic staging methods in the field, we found that field observations can uncover errors in laboratory staging that result from bias in sampling unrepresentative portions of ovaries. For 2 specimens, immature ovaries observed during histological examination were incorrectly assigned as regenerating during macroscopic staging. This type of error can lead to miscalculation of length at maturity and of spawning stock biomass, metrics that are used to characterize the state of a fish population. The revised field index includes 3 new macroscopic stages that represent final oocyte maturation in a batch of oocytes and were found to be reliable for staging spawning readiness in the field. The index was found to be suitable for studies of diel spawning periodicity and conforms to recent standardization guidelines.

Efficient sampling of atomic configurational spaces.

We describe a method to explore the configurational phase space of chemical systems. It is based on the nested sampling algorithm recently proposed by Skilling (AIP Conf. Proc. 2004, 395; J. Bayesian Anal. 2006, 1, 833) and allows us to explore the entire potential energy surface (PES) efficiently in an unbiased way. The algorithm has two parameters which directly control the trade-off between the resolution with which the space is explored and the computational cost. We demonstrate the use of nested sampling on Lennard-Jones (LJ) clusters. Nested sampling provides a straightforward approximation for the partition function; thus, evaluating expectation values of arbitrary smooth operators at arbitrary temperatures becomes a simple postprocessing step. Access to absolute free energies allows us to determine the temperature-density phase diagram for LJ cluster stability. Even for relatively small clusters, the efficiency gain over parallel tempering in calculating the heat capacity is an order of magnitude or more. Furthermore, by analyzing the topology of the resulting samples, we are able to visualize the PES in a new and illuminating way. We identify a discretely valued order parameter with basins and suprabasins of the PES, allowing a straightforward and unambiguous definition of macroscopic states of an atomistic system and the evaluation of the associated free energies.

Sampling design tool for ArcGIS: Instruction manual.[for ESRI ArcGIS 10.0 Service Pack 3 or higher]

The Biogeography Branch’s Sampling Design Tool for ArcGIS provides a means to effectively develop sampling strategies in a geographic information system (GIS) environment. The tool was produced as part of an iterative process of sampling design development, whereby existing data informs new design decisions. The objective of this process, and hence a product of this tool, is an optimal sampling design which can be used to achieve accurate, highprecision estimates of population metrics at a minimum of cost. Although NOAA’s Biogeography Branch focuses on marine habitats and some examples reflects this, the tool can be used to sample any type of population defined in space, be it coral reefs or corn fields.

Statistical analyses to support guidelines for marine avian sampling: Final report. [Digital Supplements A-G attached]

Interest in development of offshore renewable energy facilities has led to a need for high-quality, statistically robust information on marine wildlife distributions. A practical approach is described to estimate the amount of sampling effort required to have sufficient statistical power to identify species specific “hotspots” and “coldspots” of marine bird abundance and occurrence in an offshore environment divided into discrete spatial units (e.g., lease blocks), where “hotspots” and “coldspots” are defined relative to a reference (e.g., regional) mean abundance and/or occurrence probability for each species of interest. For example, a location with average abundance or occurrence that is three times larger the mean (3x effect size) could be defined as a “hotspot,” and a location that is three times smaller than the mean (1/3x effect size) as a “coldspot.” The choice of the effect size used to define hot and coldspots will generally depend on a combination of ecological and regulatory considerations. A method is also developed for testing the statistical significance of possible hotspots and coldspots. Both methods are illustrated with historical seabird survey data from the USGS Avian Compendium Database.