Improvement of sordarin production through process optimization: combining traditional approaches with DOE

BMS-353645, also known as sordarin, was of interest based on its activity against pathogenic fungi. The objective of these studies was to provide high quality starting substrate for chemical modification aimed at further improving biological activity, with particular interest in the inhibition of Aspergillus. In the work presented here, Design of Experiments, or DOE, was successfully combined with traditional approaches to significantly improve sordarin yields in fermentation flasks. Overall, yields were increased 25-fold from <100 μg/g to as high as 2,609 μg/g in flasks through the use of various medium and conduction changes supplemented with DOE. The improved process was then successfully scaled to pilot plant tanks with the best batch producing 2,389 μg/g sordarin at the 250-l scale.     

Keeping in check painful synapses in central amygdala

Glutamatergic projections from the parabrachial nucleus to the central amygdala are implicated in pain transmission. In this issue of Neuron, Delaney et al. identify a new form of adrenergic modulation at these synapses, demonstrating that noradrenaline-induced suppression of glutamate release is mediated by a decrease in the number of sites of synaptic transmission without changes in probability of release.     

Selected anthropometric variables and aerobic fitness as predictors of cardiovascular disease risk in children

The aim of this study was to assess the suitability of body mass index, waist circumference, waist-to-height ratio and aerobic fitness as predictors of cardiovascular risk factor clustering in children. A cross-sectional study was conducted with 290 school boys and girls from 6 to 10 years old, randomly selected. Blood was collected after a 12-hour fasting period. Blood pressure, waist circumference (WC), height and weight were evaluated according to international standards. Aerobic fitness (AF) was assessed by the 20-metre shuttle-run test. Clustering was considered when three of these factors were present: high systolic or diastolic blood pressure, high low-density lipoprotein (LDL) cholesterol, high triglycerides, high plasma glucose, high insulin concentrations and low high-density lipoprotein (HDL) cholesterol. A ROC curve identified the cut-off points of body mass index (BMI), WC, waist-to-height ratio (WHtR) and AF as predictors of risk factor clustering. BMI, WC and WHR resulted in significant areas under the ROC curves, which was not observed for AF. The anthropometric variables were good predictors of cardiovascular risk factor clustering in both sexes, whereas aerobic fitness should not be used to identify cardiovascular risk factor clustering in these children.     

Design and synthesis of arylaminoethyl amides as noncovalent inhibitors of cathepsin S. Part 1

A series of Nalpha-acyl-alpha-amino acid-(arylaminoethyl)amides were found to be potent and noncovalent cathepsin S inhibitors. Compound 20 possessed high cathepsin S affinity (Ki=3.3 nM) and showed excellent selectivity over cathepsin K, L, F, and V. Molecular modeling, design, synthesis, and in vitro activity are described.     

A Standard Reference Material to determine the sensitivity of techniques for detecting low-frequency mutations, SNPs, and heteroplasmies in mitochondrial DNA

Human mitochondrial DNA (mtDNA) mutations are important for forensic identifications and mitochondrial disease diagnostics. Low-frequency mutations, heteroplasmies, or SNPs scattered throughout the DNA in the presence of a majority of mtDNA with the Cambridge Reference Sequence (CRS) are almost impossible to detect. Therefore, the National Institute of Science and Technology has developed heteroplasmic human mtDNA Standard Reference Material (SRM) 2394 to allow scientists to determine their sensitivity in detecting such differences. SRM 2394 is composed of mixtures ranging from 1/99 to 50/50 of two 285-bp PCR products from two cell lines that differ at one nucleotide position. Twelve laboratories using various mutation detection methods participated in a blind interlaboratory evaluation of a prototype of SRM 2394. Most of these procedures were unable to detect the mutation when present below 20%, an indication that, in many real-life cases, low-frequency mutations remain undetected and that more sensitive mutation detection techniques are urgently needed.     

The analysis of reaction norms for age and size at maturity using maturation rate models

Reaction norms for age and size at maturity are being analyzed to answer important questions about the evolution of life histories. A new statistical method is developed in the framework of time-to-event data analysis, which circumvents shortcomings in currently available approaches. The method emphasizes the estimation of age- and size-dependent maturation rates. Individual probabilities of maturation during any given time interval follow by integrating maturation rate along the growth curve. The integration may be performed in different ways, over ages or sizes or both, corresponding to different assumptions on how individuals store the operational history of the maturation process. Data analysis amounts to fitting generalized nonlinear regression models to a maturation status variable. This technique has three main advantages over existing methods: (1) treating maturation as a stochastic process enables one to specify a rate of maturation; (2) age and size at which maturation occurs do not have to be observed exactly, and bias arising from approximations and interpolations is avoided; (3) ages at which sizes are measured and maturation status are observed can differ between individuals. An application to data on the springtail Folsomia candida is presented. Models with age-dependent integration of maturation rates were preferred. The analysis demonstrates a significant size dependence of the maturation rate but no age dependence.     

Untangling a Decline in Tropical Forest Resilience: Constraints on the Sustainability of Shifting Cultivation Across the Globe

Shifting cultivators depend on forest biomass inputs to nourish their crops. For them, forest resilience has an immediate impact: it affects crop productivity. A decline in the rate of recovery following shifting cultivation would ultimately affect local, regional and global carbon budgets, with feedbacks to climate. Yet the long-term impacts of shifting cultivation have been quantified in only six locations. In this study, we reanalyze data from these locations to determine whether the rate of biomass recovery is the same from cycle to cycle. Further, using case studies in Southern Yucatan, Mexico and West Kalimantan, Indonesia, we investigate the ecological and socioeconomic factors that affect forest resilience and thus determine whether or not shifting cultivation is sustainable. The reanalysis links aboveground biomass recovery following shifting cultivation to site productivity, forest age, fallow length, history of cultivation, and soil texture. Across locations, biomass accumulation rate declines by 9.3 percent with each cycle of shifting cultivation. Per cycle change in biomass accumulation rate is significantly more negative in younger forests and forests that experience a shorter fallow period. However, more detailed analyses for two case studies suggest that a purely ecological framework is of limited effectiveness in explaining variability in the effect of repeated shifting cultivation. Rather, socioeconomic factors such as migration, subsidies, roads, and settlement history can alter the outcome of shifting cultivation by limiting the accumulation and use of local knowledge.