Short communication: Eicosatrienoic acid and docosatrienoic acid do not promote vaccenic acid accumulation in mixed ruminal cultures

Previous research found that docosahexaenoic acid (C22:6n-3) was a component of fish oil that promotes trans-C18:1 accumulation in ruminal cultures when incubated with linoleic acid. The objective of this study was to determine if eicosatrienoic acid (C20:3n-3) and docosatrienoic acid (C22:3n-3), n-3 fatty acids in fish oil, promote accumulation of trans-C18:1, vaccenic acid (VA) in particular, using cultures of mixed ruminal microorganisms. Treatments consisted of control, control plus 5 mg of C20:3n-3 (ETA), control plus 5 mg of C22:3n-3 (DTA), control plus 15 mg of linoleic acid (LA), control plus 5 mg of C20:3n-3 and 15 mg of linoleic acid (ETALA), and control plus 5 mg of C22:3n-3 and 15 mg of linoleic acid (DTALA). Treatments were incubated in triplicate in 125-mL flasks, and 5 mL of culture contents was taken at 0 and 24 h for fatty acid analysis by gas-liquid chromatography. After 24 h of incubation, the concentrations of trans-C18:1 (0.87, 0.88, and 0.99 mg/culture), and VA (0.52, 0.56, and 0.62 mg/culture) were similar for the control, ETA, and DTA cultures, respectively. The concentrations of trans-C18:1 (5.51, 5.41, and 5.36 mg/culture), and VA (4.78, 4.62, and 4.59 mg/culture) were also similar between LA, ETALA, and DTALA cultures, respectively. These data suggest that C20:3n-3 and C22:3n-3 are not the active components in fish oil that promote VA accumulation when incubated with linoleic acid.     

Identification of (−)-β-Caryophyllene as a Gender-Specific Terpene Produced by the Multicolored Asian Lady Beetle

This work reports the development and use of techniques for characterizing volatile chemicals emitted by the multicolored Asian lady beetle, Harmonia axyridis (Pallas) (Coleoptera: Coccinellidae), in an effort to identify the semiochemicals involved in establishment and persistence of overwintering beetle aggregations. Volatiles emitted from live beetles were detected by using whole-air sampling and solid-phase microextraction (SPME). Adsorbed volatiles were thermally desorbed and identified with gas chromatography-mass spectrometry (GC/MS). By comparing the chromatograms of volatiles emitted from live male and female beetles, a sesquiterpene, (−)-β-caryophyllene, was found only in the females. The identity of (−)-β-caryophyllene was confirmed by using NIST Library searches, comparing retention times with those of known standards, and by using higher-resolution GC/MS above bench top capability. Although SPME trapping detected a wider array of compounds compared to whole-air sampling, the latter method is better suited for automation. Unattended automated sampling is required for the continuous measurement of targeted compounds under dynamically changing incubation conditions. These conditions, mimicking natural overwintering conditions, are essential to our long-term goal of using this technology to detect and identify the aggregation pheromone of H. axyridis.The United States Government has the right to retain a nonexclusive, royalty-free license in and to any copyright of this article. This article reports the results of research only. Mention of a commercial or proprietary product does not constitute an endorsement of the product by the USDA.     

Dietary exposure to chemical migrants from food contact materials: A probabilistic approach

A two-dimensional probabilistic model has been developed to estimate the short-term dietary exposure of UK consumers to migrants from food packaging materials. The current EU approach uses a default scenario of assuming that all individuals are 60 kg weight and consume 1 kg of food packaged in the material of interest per day. Using four UK National Dietary and Nutrition Surveys comprising 4-7 day dietary records for different age groups and survey years, a sample representative of the UK population has been obtained consuming around 4200 different food items. Each survey provides records for around 2000 individuals and supplies detailed information on the consumption of food and data on sex, height and socio-economic status which may be used to analyse the exposure of selected groups within the community. As a result we are able to address the variation in consumption of food amongst individuals, and account for actual body weights providing a more accurate representation of the 'true' exposure. The migrants bisphenol A diglycidyl ether (BADGE), di-2-ethylhexyl adipate (DEHA) and styrene were considered as specimen compounds although the methodology employed has the flexibility to adapt to other migrants and packaging types and indeed other food contaminants. Exposure for each individual is estimated by calculating and summing the individual exposure from each item in their diet, and is repeated for all individuals in each survey to produce a distribution of exposures for the population. The packaging type of each food item is assigned by utilizing known packaging types from the database or, by sampling from a distribution based upon market share information. The parameters contributing towards the exposure from a packaged dietary item are migrant concentration and item weight. Distributions are used to represent the inherent variation and uncertainty affecting these parameters. Where data on concentrations for a particular type of food are lacking, expert judgement is used to extrapolate from available data for other food types. The model can also be run using only migration data for food simulants. In this case, concentrations expected for each of the food items are assigned based on the data for the relevant food simulant. The primary outputs of the model are distributions of estimated daily intakes for the selected population. Each distribution gives the variation across the population subject to the uncertain parameters sampled in that iteration of the model. Analysing the ensemble of distributions allows us to obtain the confidence limits around estimates for percentiles due to the uncertainties. The probabilistic approach allows sensitivity analysis to evaluate the relative importance of the input parameters and places confidence bounds on the outputs to show the effect of the uncertainties and the contribution of each food type toward the overall exposure.     

Management of ventricular arrhythmias: detection, drugs, and devices

OBJECTIVE: To review evaluation and treatment of patients with ventricular arrhythmias, based on recent studies, with an emphasis on randomized controlled trials. DATA SOURCES: MEDLINE search of English-language publications of ventricular arrhythmias and their references from 1966 through April 27, 1998. References to articles were also scanned to broaden the search. STUDY SELECTION: Randomized controlled trials and all large nonrandomized trials of arrhythmias and arrhythmia therapy were reviewed. In addition, studies that led to changes in approach to patients with arrhythmias were reviewed. DATA EXTRACTION: We reviewed articles jointly for pertinent studies and information. DATA SYNTHESIS: The goals of treatment of the patient with ventricular arrhythmias are to suppress symptoms and prevent a fatal event. The steps in providing such therapy include defining the cardiac anatomy, assessing arrhythmia risk through noninvasive or invasive testing, and prescribing treatment based on these results. Patients may be separated into high- and low-risk groups to help identify appropriate treatment. While low-risk groups may benefit from reassurance or medications such as beta-blockers or verapamil, high-risk groups have been more difficult to treat. Recent randomized trials of implantable cardioverter defibrillators for ventricular arrhythmias suggest that they may provide better protection for high-risk patients than do antiarrhythmic medications. CONCLUSIONS: Treatment and understanding of risk from ventricular arrhythmias have advanced substantially in recent years. Classifying patients as being at high or low risk for fatal arrhythmias allows the physician to identify appropriate treatments for the high-risk patient without exposing the low-risk patient to unnecessary treatment-related risks.     

Proliferative hemangiomas: analysis of cytokine gene expression and angiogenesis

Hemangiomas are benign vascular tumors of childhood that can lead to disfigurement and/or life-threatening consequences. The pathogenesis of hemangioma formation is likely to involve increased angiogenesis. Basic fibroblast growth factor and vascular endothelial growth factor are cytokines that stimulate angiogenesis in multiple in vivo and in vitro models. Proliferative hemangiomas have been found to have elevated levels of basic fibroblast growth factor and vascular endothelial growth factor protein, but the gene expression of these cytokines in human specimens has not been previously studied. We examined the gene expression and spatial distribution of basic fibroblast growth factor and vascular endothelial growth factor messenger RNA in proliferative versus involuted human hemangioma specimens using nonisotopic in situ hybridization techniques. Thirteen hemangioma specimens were harvested during initial surgical excision. In situ hybridization was performed on frozen sections of both proliferative and involuted hemangioma specimens using genetically engineered antisense probes specific for basic fibroblast growth factor and vascular endothelial growth factor messenger RNA. Controls were an interleukin-6 sense sequence and a transforming growth factor-beta 1 antisense sequence. A large number of cells within the specimens of proliferative hemangiomas revealed localized gene expression of basic fibroblast growth factor and vascular endothelial growth factor messenger RNA (626 +/- 129 and 1660 +/- 371 cells/mm2, respectively). The majority of the cells were endothelial in origin. In contrast, involuted hemangioma specimens revealed significantly lower numbers of cells staining positive for basic fibroblast growth factor and vascular endothelial growth factor messenger RNA (44 +/- 11 and 431 +/- 76 cells/mm2, respectively; p < 0.05). Transforming growth factor-beta 1 messenger RNA was slightly more expressed by involuted hemangiomas (117 +/- 30 cells/mm2). There were very low levels of transforming growth factor-beta 1 gene expression from proliferative hemangiomas (37 +/- 24 cells/mm2; p < 0.02). These data demonstrate that (1) in situ hybridization allows identification and relative quantitation of cells expressing messenger RNA for specific growth factors in human hemangioma specimens; (2) basic fibroblast growth factor and vascular endothelial growth factor messenger RNA are up-regulated in proliferative hemangiomas; and (3) transforming growth factor-beta 1 messenger RNA remains low in both proliferative and involuted hemangiomas. Because basic fibroblast growth factor and vascular endothelial growth factor messenger RNA have been implicated in the pathobiology of human hemangioma formation, biochemical modulation of these angiogenic cytokines may eventually help inhibit proliferation and promote regression of hemangiomas.     

Implementation and control of distributed PWM cascaded multilevel inverters with minimal harmonic distortion and common-mode voltage

Cascaded multilevel inverters can be implemented through the series connection of single-phase modular power bridges. This work presents details on how these bridges should be implemented and operated to synchronize their pulse-width-modulation (PWM) carriers, fundamental references and sampling instances to implement a network-controlled cascaded inverter with distributed PWM computation and overall optimal system performance. The paper begins by detailing the development and control of an integrated power bridge, designed with its own digital signal processor and associated control circuitry. Details describing the networked control algorithm and signal protocol needed for synchronizing the multiple power bridges through a dynamically fast data communication network, are then presented to achieve optimum harmonic cancellation and reduced common-mode voltage. The practicality and performance of the presented modular implementation concepts have been confirmed through the close match between simulation and experimental results obtained using a modular cascaded five-level inverter prototype.     

Coevolutionary analysis of resistance-evading peptidomimetic inhibitors of HIV-1 protease

We have developed a coevolutionary method for the computational design of HIV-1 protease inhibitors selected for their ability to retain efficacy in the face of protease mutation. For HIV-1 protease, typical drug design techniques are shown to be ineffective for the design of resistance-evading inhibitors: An inhibitor that is a direct analogue of one of the natural substrates will be susceptible to resistance mutation, as will inhibitors designed to fill the active site of the wild-type or a mutant enzyme. Two design principles are demonstrated: (i) For enzymes with broad substrate specificity, such as HIV-1 protease, resistance-evading inhibitors are best designed against the immutable properties of the active site-the properties that must be conserved in any mutant protease to retain the ability to bind and cleave all of the native substrates. (ii) Robust resistance-evading inhibitors can be designed by optimizing activity simultaneously against a large set of mutant enzymes, incorporating as much of the mutational space as possible.     

Effect of omeprazole, lansoprazole, and ranitidine on the DNA synthesis of mononuclear cells

BACKGROUND: Whereas a number of studies have investigated the putative role of environmental toxins in the pathogenesis of idiopathic Parkinson disease, the possibility of such a role in multiple system atrophy has received little attention. DESIGN AND SETTING: Review of records of patients examined in the Parkinson's Disease Center and Movement Disorder Clinic, Baylor College of Medicine, Houston, Tex, from July 1, 1977, to February 4, 1998. PATIENTS: We reviewed 100 consecutive medical records of patients who satisfied the diagnostic criteria for multiple system atrophy formulated by the Consensus Committee of the American Autonomic Society and the American Academy of Neurology. INTERVENTION: The type and amount of toxin exposure were verified by history and examination of records whenever possible. Severity of parkinsonism was assessed by clinical rating scales. MAIN OUTCOME MEASURE: Development of multiple system atrophy after environmental toxin exposure. RESULTS: Eleven patients had a notable history of heavy exposure to environmental toxins. One patient with multiple system atrophy confirmed by postmortem evaluation was exposed to high concentrations of malathion, diazinon, and formaldehyde, while the other patients with multiple system atrophy had well-documented high exposures to agents including n-hexane, benzene, methyl isobutyl ketone, and pesticides. The case studied pathologically demonstrated extensive advanced glial changes, including glial cytoplasmic inclusions in deep cerebellar white matter, brainstem, cortex (superior frontal, insula) and putamen, with notable cell loss and depigmentation of the substantia nigra and locus ceruleus. CONCLUSION: While many studies report a possible role of environmental toxins in Parkinson disease, such a role is even more likely in multiple system atrophy, as this is a sporadic disease.     

Dimension Reduction and Dynamics of a Spiking Neural Network Model for Decision Making under Neuromodulation()

Previous models of neuromodulation in cortical circuits have used either physiologically based networks of spiking neurons or simplified gain adjustments in low-dimensional connectionist models. Here we reduce a high-dimensional spiking neuronal network model, first to a four-population mean-field model and then to a two-population model. This provides a realistic implementation of neuromodulation in low-dimensional decision-making models, speeds up simulations by three orders of magnitude, and allows bifurcation and phase-plane analyses of the reduced models that illuminate neuromodulatory mechanisms. As modulation of excitation-inhibition varies, the network can move from unaroused states, through optimal performance to impulsive states, and eventually lose inhibition-driven winner-take-all behavior: all are clear outcomes of the bifurcation structure. We illustrate the value of reduced models by a study of the speed-accuracy tradeoff in decision making. The ability of such models to recreate neuromodulatory dynamics of the spiking network will accelerate the pace of future experiments linking behavioral data to cellular neurophysiology.