Temporal evolution of MR perfusion in neonatal hypoxic-ischemic encephalopathy

PURPOSE: To illustrate the evolution of brain perfusion-weighted magnetic resonance imaging (PWI-MRI) in severe neonatal hypoxic-ischemic (HI) encephalopathy, and its possible relation to further neurodevelopmental outcome. MATERIALS AND METHODS: Two term neonates with HI encephalopathy underwent an early and a late MRI, including PWI. They were followed until eight months of age. A total of three "normal controls" were also included. Perfusion maps were obtained, and relative cerebral blood flow (rCBF) and cerebral blood volume (rCBV) values were measured. RESULTS: Compared to normal neonates, a hyperperfusion (increased rCBF and rCBV) was present on early scans in the whole brain. On late scans, hyperperfusion persisted in cortical gray matter (normalization of rCBF and rCBV ratios in white matter and basal ganglia, but not in cortical gray matter). Diffusion-weighted imaging (DWI) was normalized, and extensive lesions became visible on T2-weighted images. Both patients displayed very abnormal outcome: Patient 2 with the more abnormal early and late hyperperfusion being the worst. CONCLUSION: PWI in HI encephalopathy did not have the same temporal evolution as DWI, and remained abnormal for more than one week after injury. This could be a marker of an ongoing mechanism underlying severe neonatal HI encephalopathy. Evolution of PWI might help to predict further neurodevelopmental outcome.

Caspofungin first-line therapy for invasive aspergillosis in allogeneic hematopoietic stem cell transplant patients: an European Organisation for Research and Treatment of Cancer study.

Caspofungin at standard dose was evaluated as first-line monotherapy of mycologically documented probable/proven invasive aspergillosis (IA) (unmodified European Organisation for Research and Treatment of Cancer/Mycosis Study Group criteria) in allogeneic hematopoietic SCT patients. The primary efficacy end point was complete or partial response at end of caspofungin treatment. Response at week 12, survival and safety were additional end points. Enrollment was stopped prematurely because of low accrual, with 42 enrolled and 24 eligible, giving the study a power of 85%. Transplant was from unrelated donors in 16 patients; acute or chronic GVHD was present in 15. In all, 12 patients were neutropenic (<500/microl) at baseline, 10 received steroids and 16 calcineurin inhibitors or sirolimus. Median duration of caspofungin treatment was 24 days. At the end of caspofungin therapy, 10 (42%) patients had complete or partial response (95% confidence interval: 22-63%); 1 (4%) and 12 (50%) had stable and progressing disease, respectively; one was not evaluable. At week 12, eight patients (33%) had complete or partial response. Survival rates at week 6 and 12 were 79 and 50%, respectively. No patient had a drug-related serious adverse event or discontinued because of toxicity. Caspofungin first-line therapy was effective and well tolerated in allogeneic hematopoietic SCT patients with mycologically documented IA.

Molecular phylogenetics and temporal diversification in the genus Aeromonas based on the sequences of five housekeeping genes

Several approaches have been developed to estimate both the relative and absolute rates of speciation and extinction within clades based on molecular phylogenetic reconstructions of evolutionary relationships, according to an underlying model of diversification. However, the macroevolutionary models established for eukaryotes have scarcely been used with prokaryotes. We have investigated the rate and pattern of cladogenesis in the genus Aeromonas (γ-Proteobacteria, Proteobacteria, Bacteria) using the sequences of five housekeeping genes and an uncorrelated relaxed-clock approach. To our knowledge, until now this analysis has never been applied to all the species described in a bacterial genus and thus opens up the possibility of establishing models of speciation from sequence data commonly used in phylogenetic studies of prokaryotes. Our results suggest that the genus Aeromonas began to diverge between 248 and 266 million years ago, exhibiting a constant divergence rate through the Phanerozoic, which could be described as a pure birth process.

Different methods to assess yield temporal stability in rubber

The objective of this work was to assess, during six years, the temporal stability of natural rubber yield of 25 superior Hevea brasiliensis genotypes, using the Wricke, Eberhart & Russell, Lin & Binns, additive main effect and multiplicative interaction (AMMI) analysis, and harmonic mean of the relative performance of the genetic values (HMRPGV) methods. The IAC 40 and IAC 300 genotypes were identified as stable and high yielding by the Eberhart & Russell, Lin & Binns, HMRPGV, and AMMI Biplot methods. The ranking of the other more stable genotypes identified by these analyses was altered. The observed results in the AMMI Biplot agreed with those observed in the Wricke method for identifying stable, but lower yielding genotypes. The simultaneous use of different methods allows a more accurate indication of stable genotypes. Stability analyses based on different principles show agreement in indicating stable genotypes.

Sensitivity of Spring Phenology to Warming Across Temporal and Spatial Climate Gradients in Two Independent Databases

Disparate ecological datasets are often organized into databases post hoc and then analyzed and interpreted in ways that may diverge from the purposes of the original data collections. Few studies, however, have attempted to quantify how biases inherent in these data (for example, species richness, replication, climate) affect their suitability for addressing broad scientific questions, especially in under-represented systems (for example, deserts, tropical forests) and wild communities. Here, we quantitatively compare the sensitivity of species first flowering and leafing dates to spring warmth in two phenological databases from the Northern Hemisphere. One-PEP725-has high replication within and across sites, but has low species diversity and spans a limited climate gradient. The other-NECTAR-includes many more species and a wider range of climates, but has fewer sites and low replication of species across sites. PEP725, despite low species diversity and relatively low seasonality, accurately captures the magnitude and seasonality of warming responses at climatically similar NECTAR sites, with most species showing earlier phenological events in response to warming. In NECTAR, the prevalence of temperature responders significantly declines with increasing mean annual temperature, a pattern that cannot be detected across the limited climate gradient spanned by the PEP725 flowering and leafing data. Our results showcase broad areas of agreement between the two databases, despite significant differences in species richness and geographic coverage, while also noting areas where including data across broader climate gradients may provide added value. Such comparisons help to identify gaps in our observations and knowledge base that can be addressed by ongoing monitoring and research efforts. Resolving these issues will be critical for improving predictions in understudied and under-sampled systems outside of the temperature seasonal mid-latitudes.

Temporal trends in chemical parameters of upland forest soils in southern Finland

Abstract

Aplicação da análise de agrupamento de dados de expressão gênica temporal a dados em painel

O objetivo deste trabalho foi determinar a melhor alternativa, entre os métodos de agrupamento hierárquico (Ward) e de otimização (Tocher), para a formação de grupos homogêneos de séries de expressão gênica, e realizar previsões quanto à expressão gênica dessas séries, a partir de pequeno número de observações temporais. Os dados utilizados referem-se à expressão de genes que atuam sobre o ciclo celular de Saccharomyces cerevisiae e corresponderam a 114 séries de expressão gênica, cada uma com dez valores de "fold-change" (medida da expressão gênica) ao longo do tempo (0, 15, 30, 45, 60, 75, 90, 105, 120 e 135 min). As estimativas dos parâmetros dos modelos autorregressivos AR(p) foram previamente ajustadas a séries individuais (de cada gene) de dados "microarray time series" e utilizadas, como variáveis, no processo de agrupamento. As previsões da expressão gênica foram feitas dentro de cada grupo formado, a partir dos ajustes no modelo AR(p) para dados em painel. O método de Ward foi o mais apropriado para a formação de grupos de genes com séries homogêneas. Uma vez obtidos esses grupos, é possível ajustar o modelo AR(2) para dados em painel e predizer a expressão gênica em um tempo futuro (135 min), a partir de um pequeno número de observações temporais (os outros nove valores de "fold-change").