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Health promotion with school-age children can enhance knowledge about nutrition and change eating habits when health workers, schools, and communities work together for a common goal. A range of options need to be considered when designing an effective and appropriate school-based program.
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In industrial fermentation of amino acids the cells are often forced to synthesize the biochemicals excessive of their physiological needs. The knowledge of metabolic networks and their regulation relevant usually come from biochemical research, especially from enzymology, not from engineering study. To enrich the knowledge of metabolic sub-network of L-valine syntheses for higher production of L-valine, Corynebacterium glutamicum AS1.495 and its genetic derivatives AA361, AAT231, AATV341 were used for metabolic flux analysis. AS1.495 is a leucine auxotrophic (Leu-), and the three derivatives carry additional mutations. AA361 contains D-aspartic acid-beta-hydroxamate supersensitive marker (Leu-, L-AAHss), AAT231 (Leu-, L-AAHss, 2-TAr) is D-aspartic acid-beta-hydroxamate supersensitive and 2-thiazole alanine resistant, and AAT341 (Leu-, L-AAHss, 2-TAr, Vd-) is a D-aspartic acid-beta-hydroxamate supersensitive, 2-thiazole alanine resistant and valine-decompose-ability imperfect (Vd-). The concentrations of extra-cellular metabolites were determined under sub-steady-state of the batch culture. The metabolic flux distribution maps of the four strains were obtained, compared and analyzed. Our analysis showed that the flux ratio of EMP and HMP from the glucose-6-phosphate had increased from 0.205 in the parental strain AS1.495 to 0.321 in the multiple-mutation strain AATV341; the flux ratio of L-valine synthesis branch and the rest branches from the pyruvate node increased from 0.188 in AS1.495 to 3.29 in AATV341; the flux of lactic acid synthesis branch decreased from 11.1 in AS1.495 to 1.16 in AATV341; the flux of L-valine synthesis branch increased from 5.37 in AS1.495 to 37.3 in AATV341; and the productivity of L-valine correspondently increased from 4 g/L in AS1.495 to 24.5 g/L in AATV341. These results indicate that the introduction of analog supersensitive marker L-AAH55 and/or analog resistant marker 2-TAr skew the metabolic flux towards the formation of L-valine. This study revealed the usefulness of the metabolic flux analysis as a tool for verification of existing production strains. The analysis may play an important role in helping us b to rationally re-design metabolism for further improvement of fermentation process.
Continuous, remote monitoring of patients' healthcare condition, as this can be reflected by crucial vital signs supervision, is a key demand in modern healthcare provision. Towards the accomplishment of this requirement, the traditional solution of cabled sensors appears to have clear limitations and this is one of the ultimate causes of the proliferation of wireless medical sensor networks during last years. The modern trend towards this direction is the formulation of patient Personal Area Networks (pPANs), consisting of a wireless infrastructure of medical sensors, attached to patient's body, which lays the path for incessant telemonitoring of the person in mind, without discomforting them. The nature of data that these networks are set to handle, as well as the particular demands that patient telemonitoring services raise, necessitate for a thorough analysis of the design requirements of pPAN communication protocols, in order to outflank possible disadvantages appearing in protocols for different types of wireless sensor networks, without putting aside simplicity and feasibility factors. In the context of this paper, we intend to outline the most important requirements and design issues of a pPAN communication protocol, having as compass the main attributes of the most commonly used medical sensors and the typical functionality of these networks.
An important determinant of insulin sensitivity in humans, the insulin-induced glucose uptake in skeletal muscle (directed into glycogen synthesis), has been found to be markedly enhanced in endurance-trained individuals compared with sedentary controls. This enhanced insulin action is accompanied by a decreased insulin response during an oral glucose load. Available evidence indicates that the enhanced insulin action is not a genuine training effect, but merely a lasting effect of the previous exercise session(s). In the young, insulin sensitivity increases with a single exercise session, but the increase may appear only after several training sessions in middle-aged or older individuals. The effect disappears after 3-6 days. The exercise-induced reduction in muscle glycogen is an important factor underlying the increased insulin sensitivity in the period after exercise. There are reports that endurance and strength training enhances whole-body insulin sensitivity to a similar extent, and available evidence suggests that, provided total energy expenditure is held constant, low-intensity and high-intensity exercise are equally effective in promoting insulin sensitivity. Differences in sex steroids may explain the observation of a markedly higher insulin sensitivity in women than in men. Adaptations, which might underlie the increased insulin sensitivity in trained individuals, include increases in levels of the glucose transporter protein GLUT-4 and in muscle glycogen synthase activity, a decrease in the serum triglyceride concentration and, possibly, an increase in the muscle capillary network.
Synaptic plasticity mechanisms for associative learning require near-simultaneous pairs of inputs to target cells. Sensory cues encountered behaviorally, however, are typically staggered in time, implying the need for active short-term memory traces of antecedent cues. The dense recurrent connectivity within regions of hippocampal field CA3 is suggestive of the kind of re-entrant network that could subserve this kind of "holding" memory. Consequently, we have investigated whether an abstract model of this region incorporating its major anatomical and physiological features could function as a reverberatory memory network. The continuous-time model describes the behavior of highly connected groups of CA3 pyramidal cells, or "patches," in response to brief, rhythmic, sensory stimulation. Time constants for excitatory and inhibitory postsynaptic potentials and axonal transmission delays for local and distal connections were estimated from empirical data. When the inhibitory units in these patches were connected to an oscillator intended to model the theta wave activity of the medial septum, the network entered reverberatory states and maintained second-long memory traces of the cortical input, after which it lost its coherent behavior. Noise analysis indicated that the network's operation was moderately resistant to random fluctuations proportional to patch activity. These results suggest that field CA3 could function as a holding memory that assists the integration of disjoint stimuli found in innumerable associative tasks, and that the duration of its coherent operation might determine the temporal limits in their performance.
Studies have shown that the vomeronasal system (VNS), an olfactory neural network that participates in the control of reproductive physiology and behavior, is sexually dimorphic in the rat. These works have also shown two main characteristics of brain sexual dimorphism: (a) dimorphism appears in neural networks related to reproduction and (b) it can present two morphological patterns: one in which males present greater morphological measures than females (male > female) and another in which the opposite is true (female > male). The present work extends the hypothesis to the rabbit, as a representative species of Lagomorpha. In addition, the locus coeruleus (LC), which is known to send rich noradrenergic projections to VNS structures, was also studied. Sex differences were found in: (a) the number of mitral, and dark and light granule cells (female > male) of the accessory olfactory bulb (AOB); (b) the medial amygdala (Me) and its dorsal (Med) and ventral (Mev) subdivisions, males showing greater values than females in volume and number of neurons, while in the posteromedial cortical amygdala (PMCo or C(3)), females show greater density of neurons than males and (c) the posteromedial division of the bed nucleus of the stria terminalis (BSTMP) in which males have more neurons than females. No sex differences were seen in the bed nucleus of the accessory olfactory tract (BAOT) and the LC. These results evidence that, as it was observed in rodents, sex differences are also seen in the VNS of Lagomorpha and that these sex differences present the two morphological patterns seen in Rodentia. Differences between orders are discussed with respect to the species-specific physiological and behavioral peculiarities.
The molecular basis of many forms of signal transfer in living organisms is provided via the transient phosphorylation of regulatory proteins by transfer of phosphoryl groups between these proteins. The dominant form of signal transduction in prokaryotic microorganisms proceeds via so-called two-component regulatory systems. These systems constitute phosphoryl transfer pathways, consisting of two or more components. Most of these pathways are linear, but some converge and some are divergent. The molecular properties of some of the well-characterised representatives of two-component systems comply with the requirements to be put upon the elements of a neural network: they function as logical operators and show the phenomenon of autoamplification. Because there are many phosphoryl transfer pathways in parallel and because there also appears to be cross-talk between these pathways, the total of all two-component regulatory systems in a single prokaryotic cell may show the typical characteristics of a 'phospho-neural network'. This may well lead to signal amplification, associative responses and memory effects, characteristics which are typical for neural networks. One of the main challenges in molecular microbial physiology is to determine the extent of the connectivity of the constituting elements of this presumed 'phospho-neural network', and to outline the extent of intelligence-like behaviour this network can generate. Escherichia coli is the organism of choice for this characterization.
The development of the network concept is prompted by the accumulated quantitative disagreement between the behaviour of single microvessels and the changes of total tissue blood flow, as well as by the ubiquitous flow heterogeneity. It is further driven by the difficulty to attach function-oriented nomenclatures to structural elements of the terminal vascular bed. So far, the efforts of mathematical network modelling have led to a reasonably coherent analysis of microcirculatory hemodynamics from available data on network geometry and blood rheology. These efforts have shown that complete data sets are important because of the non-symmetric architecture of most networks. Due to its effect on exchange efficiency, the relationship between network heterogeneity and total flow regulation remains the currently most relevant physiological problem. So far, the hypothesis of flow heterogeneity being controlled through intra-network communication and consecutive readjustment of flow and flux dispersions is intriguing, but speculative.
We study the diameter, or the mean distance between sites, in a scale-free network, having N sites and degree distribution p(k) proportional, variant k(-lambda), i.e., the probability of having k links outgoing from a site. In contrast to the diameter of regular random networks or small-world networks, which is known to be d approximately ln(N, we show, using analytical arguments, that scale-free networks with 2 3, d approximately ln(N. We also show that, for any lambda>2, one can construct a deterministic scale-free network with d approximately ln(ln(N, which is the lowest possible diameter.
Higher plants are sessile organisms that perceive environmental cues such as light and chemical signals and respond by changing their morphologies. Signaling pathways utilize a complex network of interactions to orchestrate biochemical and physiological responses such as flowering, fruit ripening, germination, photosynthetic regulation, and shoot or root development. In this session, the mechanisms of signaling systems that trigger plant responses to light and to the gaseous hormone, ethylene, were discussed. These signals are first sensed by a receptor and transmitted to the nucleus by a complex network. A signal may be transmitted to the nucleus by any of several systems including GTP binding proteins (G proteins), which change activity upon GTP binding; protein kinase cascades, which sequentially phosphorylate and activate a series of proteins; and membrane ion channels, which change ionic characteristics of the cells. The signal is manifested in the nucleus as a change in the activity of DNA-binding proteins, which are transcription factors that specifically interact and modulate the regulatory regions of genes. Thus, detection of an environmental signal is transmitted through a transduction pathway, and changes in transcription factor activity may coordinate changes in the expression of a portfolio of genes to direct new developmental programs.
To quantify the interdependence of capillary leukocyte plugging and microvascular hemodynamics, experimental measurements were made of the time required for lymphocytes and granulocytes to enter a micropipette. Using standard micropipette deformation techniques, entrance times were found to be a function of both cell diameter and pipette diameter, with no significant dependence on aspiration pressure over the differential pressure range of 200-400 Pa. Experimental results were combined with a computer network model to describe changes in red cell distribution and flow rate resulting from the delayed entrance of leukocytes (WBC) into capillaries. The network model is based on geometrical measurements from the capillary bed of a hamster cremaster muscle (Sarelius et al. 1981) and utilizes previous work describing: 1. preferential cell distribution at a bifurcation, 2. increased apparent viscosity due to the presence of red and white cells, and 3. increased velocities of red and white cells relative to blood. Red and white cell positions within the network were computed at discrete time increments, and WBC plugging was simulated by a temporary cessation of flow in vessels of smaller diameter than the white cell. In contrast with previous studies, the increased viscosity due to the presence of WBCs was found to have an insignificant effect on overall network flow rate. Instead, a major flow reduction occurs only when capillaries are plugged by the white cells. At normal physiological concentrations (1,000 RBC/WBC), time-averaged overall network flow is reduced by 4.4%, based on averaged experimentally measured entrance times, and up to 14.8% if maximal entrance times are used.(ABSTRACT TRUNCATED AT 250 WORDS)
We propose a new approach based on dynamic recurrent neural networks (DRNN) to identify, in human, the relationship between the muscle electromyographic (EMG) activity and the arm kinematics during the drawing of the figure eight using an extended arm. After learning, the DRNN simulations showed the efficiency of the model. We demonstrated its generalization ability to draw unlearned movements. We developed a test of its physiological plausibility by computing the error velocity vectors when small artificial lesions in the EMG signals were created. These lesion experiments demonstrated that the DRNN has identified the preferential direction of the physiological action of the studied muscles. The network also identified neural constraints such as the covariation between geometrical and kinematics parameters of the movement. This suggests that the information of raw EMG signals is largely representative of the kinematics stored in the central motor pattern. Moreover, the DRNN approach will allow one to dissociate the feedforward command (central motor pattern) and the feedback effects from muscles, skin and joints.
An innovative respiratory examination system has been developed that combines physiological response measurement, real-time graphic displays, user-driven operating sequences, and networked file archiving and review into a scientific research and clinical diagnosis tool. This newly constructed computer network is being used to enhance the research center's ability to perform patient pulmonary function examinations. Respiratory data are simultaneously acquired and graphically presented during patient breathing maneuvers and rapidly transformed into graphic and numeric reports, suitable for statistical analysis or database access. The environment consists of the hardware (Macintosh computer, MacADIOS converters, analog amplifiers), the software (HyperCard v2.0, HyperTalk, XCMDs), and the network (AppleTalk, fileservers, printers) as building blocks for data acquisition, analysis, editing, and storage. System operation modules include: Calibration, Examination, Reports, On-line Help Library, Graphic/Data Editing, and Network Storage.
Because blocking GABAergic neurotransmission in control tissue generates seizures and because GABA boosters control epilepsy in many patients, studies on epilepsies have been dominated by the axiom that seizures are generated by a failure of GABA-mediated inhibition. However, GABAergic interneurons and synapses are heterogeneous and have many roles that go beyond the straightforward concept of "inhibition of the target". Operation of such a diversified system cannot be ascribed to a single mechanism. In epileptic tissue, GABAergic networks undergo complex rewiring at the anatomical, physiological and functional levels; GABAergic synapses are still operative but show unique features, including excitatory effects. Therefore, inhibition is not a uniform notion and the concept of "failure" of inhibition in epilepsies must be reassessed. Seizures are not generated in a normal circuit in which GABA-mediated inhibition is simply impaired, but in a profoundly rewired network in which several properties of GABA function are altered. This review is part of the TINS Interneuron Diversity series.
The primary function of the vestibuloocular reflex (VOR) is to maintain the stability of retinal images during head movements. This function is expressed through a complex array of dynamic and adaptive characteristics whose essential physiological basis is a disynaptic arc. We present a model of normal VOR function using a simple neural network architecture constrained by the physiological and anatomical characteristics of this disynaptic reflex arc. When tuned using a method of global optimization, this network is capable of exhibiting the broadband response characteristics observed in behavioral tests of VOR function. Examination of the internal units in the network show that this performance is achieved by rediscovering the solution to VOR processing first proposed by Skavenski and Robinson (1973). Type I units at the intermediate level of the network possess activation characteristics associated with either pure position or pure velocity. When the network is made more complex either through adding more pairs of internal units or an additional level of units, the characteristic division of unit activation properties into position and velocity types remains unchanged. Although simple in nature, the results of our simulations reinforce the validity of bottom-up approaches to modeling of neutral function. In addition, the architecture of the network is consistent with current ideas on the characteristics and site of adaptation of the reflex and should be compatible with current theories regarding learning rules for synaptic modification during VOR adaptation.
Neuronal networks controlling endocrine events present synchronous activity which is required for maintaining physiological functions, including reproduction. Although pulsatile hormone secretion is of paramount importance, the mechanism(s) by which secretory episodes are generated remain largely unknown. Nitric oxide (NO) has become the prototype of a new family of signaling molecules in the body. Nitric oxide diffuses from the source cell and controls activity of neighboring neurons as well as itself as a retrograde messenger. Cells of the luteinizing hormone-releasing hormone (LHRH) neuronal network, the key component in the control of reproduction, are scattered and loosely arranged in the anterior hypothalamus. A diffusible neurotransmitter could provide a means for establishing synchronous activation of the LHRH neuronal network leading to physiologically-relevant pulsatile LHRH secretion. In this study, we demonstrate that immortalized LHRH-producing neurons (GT1-7 cells) express NO synthase (NOS) mRNA and protein. Furthermore, GT1-7 cells are NADPH-diaphorase-positive (a marker of NOS activity) and the histochemical reaction can be abolished by treatment with a competitive NOS blocker. The presence of citrulline in these cells provides further evidence for the biological activity of NOS. These observations indicate that an active NO synthesizing machinery is present in immortalized LHRH neurons. In addition, we show that LHRH secretion is enhanced by NO in a cGMP-dependent manner. Since pulsatile LHRH secretion from immortalized LHRH neurons in vitro is abolished by NOS blockers and NO scavengers, it appears that NO is a unique neurotransmitter that is necessary to set LHRH neurons in phase to establish synchronized pulsatile LHRH secretion.