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At least 559 records · Page 31Linked to original sources
PubMed2003

Functional genomics of ageing.

Ageing is the most complex phenotype currently known, since it becomes manifest in all organs and tissues, affects an organism's entire physiology, impacts function at all levels and increases susceptibility to all major chronic diseases. Insight into the molecular and cellular targets of the ageing process would offer the unprecedented opportunity to postpone and prevent some, if not all, of its deteriorative aspects by preventive and therapeutic means. Thus far, our understanding of the causes of ageing is limited. To an important extent this is due to our inability, in the past, to study ageing systems. Instead, ample information has been gathered about individual cellular components at various ages, but this has not allowed a clear understanding of the integrated genomic circuits that control mechanisms of ageing, survival and stress responses. With the emergence of functional genomics, we finally have the opportunity to study ageing in a comprehensive manner, as a function of the dynamic network of genes that determines the physiology of an individual organism over time.

Aging↗
PubMed2002

Attentional recruitment of inter-areal recurrent networks for selective gain control.

There is strong anatomical and physiological evidence that neurons with large receptive fields located in higher visual areas are recurrently connected to neurons with smaller receptive fields in lower areas. We have previously described a minimal neuronal network architecture in which top-down attentional signals to large receptive field neurons can bias and selectively read out the bottom-up sensory information to small receptive field neurons (Hahnloser, Douglas, Mahowald, & Hepp, 1999). Here we study an enhanced model, where the role of attention is to recruit specific inter-areal feedback loops (e.g., drive neurons above firing threshold). We first illustrate the operation of recruitment on a simple example of visual stimulus selection. In the subsequent analysis, we find that attentional recruitment operates by dynamical modulation of signal amplification and response multistability. In particular, we find that attentional stimulus selection necessitates increased recruitment when the stimulus to be selected is of small contrast and of small distance away from distractor stimuli. The selectability of a low-contrast stimulus is dependent on the gain of attentional effects; for example, low-contrast stimuli can be selected only when attention enhances neural responses. However, the dependence of attentional selection on stimulus-distractor distance is not contingent on whether attention enhances or suppresses responses. The computational implications of attentional recruitment are that cortical circuits can behave as winner-take-all mechanisms of variable strength and can achieve close to optimal signal discrimination in the presence of external noise.

Animals↗
PubMed2004

Physiological strains remodel extracellular matrix and cell-cell adhesion in osteoblastic cells cultured on alumina-coated titanium alloy.

The effects of mechanical strains on cellular activities were assessed in an in vitro model using human osteoblastic MG-63 cells grown on titanium alloy discs coated with porous alumina and exposed to chronic intermittent loading. Strain was applied with a Dynacell device for three 15-min sequences per day for several days with a magnitude of 600 microepsilon strain and a frequency of 0.25 Hz. We have previously demonstrated that this regimen increased alkaline phosphatase activity in confluent cultures on ceramic coated titanium (alumina and hydroxyapatite) (Biomaterials 24 (2003) 3139). In this study, we analysed the production of bone matrix proteins. Osteocalcin secretion quantified by ELISA between day 5 and 11 was not affected by mechanical strain. Strain had even no quantifiable effect on collagen production from day 1 to 5 as measured by carboxy terminal collagen type I propeptide release. On the other hand, stress stimulation resulted in increased expression of fibronectin (FN) measured by Western blot after 1 day stretching. This upregulation of FN production was followed by reorganisation of the FN network after 5 days stretching observed by immunostaining. The receptors for collagen and FN, alpha2beta1, alpha5beta1 and beta1 integrins were not quantitatively affected by the strains as measured by flow cytometry. A modification of cell morphology was seen after 5 days of loading that appeared to increase cell spreading, implying consequences on intercellular contacts. For this reason, N, C11 and E-adherins were examined. We noted a selective effect characterised by increased expression of N-cadherin using both RT-PCR and Western blot analyses. We concluded that reinforcement of cell-cell adhesion and remodelling of the FN network are important adaptive responses to physiological strains for human osteoblasts grown on alumina-coated biomaterials.

Alloys↗
PubMed2004

Minimally invasive, in vivo exploration of mouse small artery reactivity.

The aim of the study was to investigate in vivo arterial reactivity in the mouse hind limb using Orthogonal Polarisation Spectral (OPS) imaging, which delivers high-contrast images of vascular beds by visualizing red blood cells. After minimal skin invasion of anesthetized mice, the OPS probe was placed on the hind limb continuously superfused with physiological saline solution. Then, the response of the saphenous artery (average luminal diameter 127 +/- 3 microm; n = 15) to topical application of increasing concentrations of acetylcholine or phenylephrine was examined. Mean carotid arterial blood pressure was unaffected during the experiment. The basal diameter decreased by 70% during exposure to phenylephrine (pD2: 5.65 +/- 0.08; n = 9), while acetylcholine augmented basal diameter up to 199% (pD2: 6.55 +/- 0.12; n = 6). Application of sodium nitroprusside did not further increase arterial diameter following acetylcholine exposure. After washing out, arterial luminal diameters returned to initial values. Second exposure to vasoactive agents demonstrated that changes in diameter were reproducible with time and not different between left and right saphenous arteries. Thus, OPS imaging is an in vivo dye-free, simple and minimally invasive approach, which provides unique information regarding the behavior of vascular network within conditions of cellular and physiological homeostasis.

Acetylcholine↗
PubMed1992

Human functional anatomy of visually guided finger movements.

The functional anatomy of visually guided movement was investigated in 18 normal subjects performing visuomotor tracking tasks during positron emission tomography imaging. Tracking a moving target with the index finger defined a network of focal responses of relative cerebral blood flow (relCBF) located in the primary motor cortex, dorsal parietal cortex, precuneate cortex, supplementary motor area (SMA) and ipsilateral anterior cerebellum relative to visual tracking alone. When the temporal complexity of the tracking task was altered by introducing a 'no go' contingency that allowed for greater time for movement preparation, there was a significant increase of relCBF in the SMA (P less than 0.0001). When the spatial complexity was augmented by adding a secondary target that provided directional cues for the primary target, there were additional significant increases of relCBF in bilateral dorsal parietal cortex (P less than 0.05) and precuneate cortex (P less than 0.05). Although the cued 'no go' task was subjectively easier, relCBF responses were similar to the uncued 'no go' task in motor areas. Performing the tracking task with different body parts produced somatotopically distributed responses in only the motor cortex. The findings are concordant with clinical reports of patients with brain lesions and physiological evidence that identifies this distributed network for performing visually guided movement. The results provide direct human evidence in the normal brain that the supplementary motor area contributes in part to the sequencing of movements and the medial and dorsal parietal cortex participates in the integration of spatial attributes during selection of movements.

Adult↗
PubMed1995

Intercellular signaling in neuronal-glial networks.

Glial cells have recently been found to exhibit electrophysiological and metabolic responses to many neurotransmitters and neuromodulators. These findings have focused attention on the possibility that active signaling between neurons and glia could represent an important form of intercellular communication within the brain. Since glial and neuronal networks are both physically and metabolically interlinked, such intercellular signaling may represent a mechanism for inducing collective changes in the cellular physiology of neuronal and glial cell populations. Within the nervous tissue of both vertebrate and invertebrate organisms, glial cells are known to secrete extracellular signal molecules, modulate carbohydrate metabolism, and control the volume and ionic composition of extracellular space. In this paper, the roles that cytoplasmic [Ca2+] transients may play in regulating these glial cell functions are reviewed. Mechanisms by which intracellular Ca oscillations and intercellular Ca waves may be generated in neurotransmitter-stimulated glial cells are also discussed. In addition, it is proposed that rhythmic glial cell contractions and shape changes, which have been observed for many decades, are linked to Ca-induced secretion of ions, water, and neuroactive compounds. These activities represent mechanisms by which Ca-induced changes in glial cell physiology could potentially alter the excitability of neuronal networks.

Animals↗
PubMed2006

Analysis of gene regulatory network models with graded and binary transcriptional responses.

The steep sigmoid framework developed by Plahte and Kjøglum [Plahte, E., Kjøglum, S., 2005. Analysis and generic properties of gene regulatory networks with graded response functions. Phys. D 201, 150-176, doi:10.1016/j.physd.2004.11.014] provides a uniform description of gene regulatory networks in which there may be both graded and binary transcriptional responses, as well as a method for analysing the models developed. Here we extend this framework. We show that there is a relation between the location of steady states and the feedback structure of a system, thus generalising existing results for Boolean type models. In addition, we justify underlying assumptions and generic features of the modelling framework in terms of biology and generalise the overall approach to take into account that each transcription factor only regulates one gene at a given threshold. By this assumption, the analysis of the models are greatly simplified.

Animals↗
PubMed2000

Interleukin-13 and transforming growth factor-beta1 inhibit spontaneous sleep in rabbits.

Proinflammatory cytokines, including interleukin-1beta and tumor necrosis factor-alpha are involved in physiological sleep regulation. Interleukin (IL)-13 and transforming growth factor (TGF)-beta1 are anti-inflammatory cytokines that inhibit proinflammatory cytokines by several mechanisms. Therefore, we hypothesized that IL-13 and TGF-beta1 could attenuate sleep in rabbits. Three doses of IL-13 (8, 40, and 200 ng) and TGF-beta1 (40, 100, and 200 ng) were injected intracerebroventricularly 3 h after the beginning of the light period. In addition, one dose of IL-13 (200 ng) and one dose of TGF-beta1 (200 ng) were injected at dark onset. The two higher doses of IL-13 and the highest dose of TGF-beta1 significantly inhibited spontanenous non-rapid eye movement sleep (NREMS) when they were given in the light period. IL-13 also inhibited NREMS after dark onset administration; however, the inhibitory effect was less potent than that observed after light period administration. The 40-ng dose of IL-13 inhibited REMS duration during the dark period. TGF-beta1 administered at dark onset had no effect on sleep. These data provide additional evidence for the hypothesis that a brain cytokine network is involved in regulation of physiological sleep.

Animals↗
PubMedDate not supplied

Vagal afferent modulation of nociception.

Chemical, electrical or physiological activation of cardiopulmonary vagal (cervical, thoracic or cardiac), diaphragmatic vagal (DVAG) or subdiaphragmatic vagal (SDVAG) afferents can result in either facilitation or inhibition of nociception in some species. In the rat, these effects depend upon vagal afferent input to the NTS and subsequent CNS relays, primarily in the NRM and ventral LC/SC, although specific relay nuclei vary as a function of the vagal challenge stimulus. Spinal pathways and neurotransmitters have been identified for vagally mediated effects on nociception and consistently implicate the involvement of descending 5-HT and noradrenergic systems, as well as intrinsic spinal opioid receptors. Species differences may exist with respect to both the effects of DVAG and SDVAG afferents on nociception and the efficacy of vagal afferents to modulate nociception. However, it is also possible that such differences reflect the modality of noxious input (e.g., visceral versus cutaneous), the type of neuronal activity investigated (e.g., resting versus noxious-evoked), spinal location of recording (e.g., thoracic versus lumbosacral) and/or parameters of stimulation. It is also possible that activation of some vagal afferents is aversive, but whether this contributes to changes in nociception produced by vagal activation has not clearly been established. Finally, the vagal-nociceptive networks described in this review provide a fertile area for future study. These networks can provide an understanding of physiological and pathophysiological peripheral events that affect nociception.

Afferent Pathways↗
PubMed1999

Ultra-slow oscillation (0.025 Hz) triggers hippocampal afterdischarges in Wistar rats.

Oscillations in neuronal networks are assumed to serve various physiological functions, from coordination of motor patterns to perceptual binding of sensory information. Here, we describe an ultra-slow oscillation (0.025 Hz) in the hippocampus. Extracellular and intracellular activity was recorded from the CA1 and subicular regions in rats of the Wistar and Sprague-Dawley strains, anesthetized with urethane. In a subgroup of Wistar rats (23%), spontaneous afterdischarges (4.7+/-1.6 s) occurred regularly at 40.8+/-15.7 s. The afterdischarge was initiated by a fast increase of population synchrony (100-250 Hz oscillation; "tonic" phase), followed by large-amplitude rhythmic waves and associated action potentials at gamma and beta frequency (15-50 Hz; "clonic" phase). The afterdischarges were bilaterally synchronous and terminated relatively abruptly without post-ictal depression. Single-pulse stimulation of the commissural input could trigger afterdischarges, but only at times when they were about to occur. Commissural stimulation evoked inhibitory postsynaptic potentials in pyramidal cells. However, when the stimulus triggered an afterdischarge, the inhibitory postsynaptic potential was absent and the cells remained depolarized during most of the afterdischarge. Afterdischarges were not observed in the Sprague-Dawley rats. Long-term analysis of interneuronal activity in intact, drug-free rats also revealed periodic excitability changes in the hippocampal network at 0.025 Hz. These findings indicate the presence of an ultra-slow oscillation in the hippocampal formation. The ultra-slow clock induced afterdischarges in susceptible animals. We hypothesize that a transient failure of GABAergic inhibition in a subset of Wistar rats is responsible for the emergence of epileptiform patterns.

Animals↗
PubMed1975

Role of sensory factors in chewing and feeding behavior.

Since feeding behavior has a complex physiological background, in the physiology of feeding behavoir not only the mechanisms in the hypothalamus, but also input and output physiologic factors which stimulate and/or inhibit the central network for feeding and aversion behavior, must be considered. Normal feeding and aversion behavior are accomplished by a series of highly co-ordinated physiological functions involving various parts of the body, and humoral, hormonal, metabolic, and sensory and motor functions for feeding behavior must be well considered from a wider wiew point. For this purpose, morphological, biochemical, and neurophysiological extensive approaches to study the feeding behavior mechanisms are essentially important. In the present paper, neurophysiological network concerning feeding and aversion behavior was under discussion. Particularly, relations between input, central and output factors for these behaviors were considered. As an input factor, a role of the nerve impulses of the chorda tympani and lingual nerves was evaluated. As a central factor, involvement of the neurons in the cortical taste area was discussed, and response patterns of cortical taste neurons to negative and positive taste information was analyzed with regard to taste perception mechanisms. In addition, mechanisms in the posterior hypothalamus for the taste aversion behavior were explained through ablation and recording techniques in the rat; and the neuromuscular mechanisms of chewing, which complete the feeding behavior, were also discussed. Importance of such comprehensive systematic approach to proper understanding of feeding and aversion behaviors was emphasized.

Animals↗
PubMed2006

A recurrent network mechanism of time integration in perceptual decisions.

Recent physiological studies using behaving monkeys revealed that, in a two-alternative forced-choice visual motion discrimination task, reaction time was correlated with ramping of spike activity of lateral intraparietal cortical neurons. The ramping activity appears to reflect temporal accumulation, on a timescale of hundreds of milliseconds, of sensory evidence before a decision is reached. To elucidate the cellular and circuit basis of such integration times, we developed and investigated a simplified two-variable version of a biophysically realistic cortical network model of decision making. In this model, slow time integration can be achieved robustly if excitatory reverberation is primarily mediated by NMDA receptors; our model with only fast AMPA receptors at recurrent synapses produces decision times that are not comparable with experimental observations. Moreover, we found two distinct modes of network behavior, in which decision computation by winner-take-all competition is instantiated with or without attractor states for working memory. Decision process is closely linked to the local dynamics, in the "decision space" of the system, in the vicinity of an unstable saddle steady state that separates the basins of attraction for the two alternative choices. This picture provides a rigorous and quantitative explanation for the dependence of performance and response time on the degree of task difficulty, and the reason for which reaction times are longer in error trials than in correct trials as observed in the monkey experiment. Our reduced two-variable neural model offers a simple yet biophysically plausible framework for studying perceptual decision making in general.

Animals↗
PubMed2001

Derived fuzzy knowledge model for estimating the depth of anesthesia.

Reliable and noninvasive monitoring of the depth of anesthesia (DOA) is highly desirable. Based on adaptive network-based fuzzy inference system (ANFIS) modeling, a derived fuzzy knowledge model is proposed for quantitatively estimating the DOA and validate it by 30 experiments using 15 dogs undergoing anesthesia with three different anesthetic regimens (propofol, isoflurane, and halothane). By eliciting fuzzy if-then rules, the model provides a way to address the DOA estimation problem by using electroencephalogram-derived parameters. The parameters include two new measures (complexity and regularity) extracted by nonlinear quantitative analyses, as well as spectral entropy. The model demonstrates good performance in discriminating awake and asleep states for three common anesthetic regimens (accuracy 90.3 % for propofol, 92.7 % for isoflurane, and 89.1% for halothane), real-time feasibility, and generalization ability (accuracy 85.9% across the three regimens). The proposed fuzzy knowledge model is a promising candidate as an effective tool for continuous assessment of the DOA.

Algorithms↗
PubMed2006

A tuneable attractor underlies yeast respiratory dynamics.

Our understanding of the molecular structure and function in the budding yeast, Saccharomyces cerevisiae, surpasses that of all other eukaryotic cells. However, the fundamental properties of the complex processes and their control systems have been difficult to reconstruct from detailed dissection of their molecular components. Spontaneous oscillatory dynamics observed in self-synchronized continuous cultures is pervasive, involves much of the cellular network, and provides unique insights into integrative cell physiology. Here, in non-invasive experiments in vivo, we exploit these oscillatory dynamics to analyse the global timing of the cellular network to show the presence of a low-order chaotic component. Although robust to a wide range of environmental perturbations, the system responds and reacts to the imposition of harsh environmental conditions, in this case low pH, by dynamic re-organization of respiration, and this feeds upwards to affect cell division. These complex dynamics can be represented by a tuneable attractor that orchestrates cellular complexity and coherence to the environment.

Flow Cytometry↗
PubMed2005

Reconstructing the metabolic network of a bacterium from its genome.

The prospect of understanding the relationship between the genome and the physiology of an organism is an important incentive to reconstruct metabolic networks. The first steps in the process can be automated and it does not take much effort to obtain an initial metabolic reconstruction from a genome sequence. However, such a reconstruction is certainly not flawless and correction of the many imperfections is laborious. It requires the combined analysis of the available information on protein sequence, phylogeny, gene-context and co-occurrence but is also aided by high-throughput experimental data. Simultaneously, the reconstructed network provides the opportunity to visualize the "omics" data within a relevant biological functional context and thus aids the interpretation of those data.

Bacteria↗
PubMed2025

Competition and cooperation: The plasticity of bacterial interactions across environments.

Bacteria live in diverse communities, forming complex networks of interacting species. A central question in bacterial ecology is whether species engage in cooperative or competitive interactions. But this question often neglects the role of the environment. Here, we use genome-scale metabolic networks from two different open-access collections (AGORA and CarveMe) to assess pairwise interactions of different microbes in varying environmental conditions (provision of different environmental compounds). By computationally simulating thousands of environments for 10,000 pairs of bacteria from each collection, we found that most pairs were able to both compete and cooperate depending on the availability of environmental resources. This modeling approach allowed us to determine commonalities between environments that could facilitate the potential for cooperation or competition between a pair of species. Namely, cooperative interactions, especially obligate, were most common in less diverse environments. Further, as compounds were removed from the environment, we found interactions tended to degrade towards obligacy. However, we also found that on average at least one compound could be removed from an environment to switch the interaction from competition to facultative cooperation or vice versa. Together our approach indicates a high degree of plasticity in microbial interactions in response to the availability of environmental resources.

Microbial Interactions↗
PubMed2003

Application of artificial neural network modelling to identify severely ill patients whose aminoglycoside concentrations are likely to fall below therapeutic concentrations.

OBJECTIVE: Identification of ICU patients whose concentrations are likely to fall below therapeutic concentrations using artificial neural network (ANN) modelling and individual patient physiologic data. METHOD: Data on indicators of disease severity and some physiologic data were collected from 89 ICU patients who received arbekacin (ABK) and 61 who received amikacin (AMK). Three-layer ANN modelling and multivariate logistic regression analysis were used to predict the plasma concentrations of the aminoglycosides (ABK and AMK) in the severely ill patients. RESULTS: Predictive performance analysis showed that the sensitivity and specificity of ANN modelling was superior to multivariate logistic regression analysis. For accurate modelling, a predictable range should be inferred from the data structure before the analysis. Restriction of the predictable region, based on the data structure, increased predictive performance. CONCLUSION: ANN analysis was superior to multivariate logistic regression analysis in predicting which patients would have plasma concentrations lower than the minimum therapeutic concentration. To improve predictive performance, the predictable range should be inferred from the data structure before prediction. When applying ANN modelling in clinical settings, the predictive performance and predictable region should be investigated in detail to avoid the risk of harm to severely ill patients.

Amikacin↗
PubMed1996

Modelling techniques and their application for monitoring in high dependency environments--learning models.

This paper reviews the use of learning models including Bayesian classifiers and artificial neural networks in monitoring and interpreting biosignals. Generally learning models applied for analysis of biosignals are "black-box' types trained on the basis of measured signals. It is illustrated that the training and application of learning models more or less follow the same sequences. The main focus is the interpretation of electrical signals from the brain (electroencephalogram (EEG) and evoked potentials (EP)). Current analysis of these signals often reveals sudden changes in the EEG or evoked potentials to be the earliest discernible signs of inadequate perfusion of the brain. They may reflect problems such as systemic arterial oxygen desaturation or hypotension arising from other body system failures during critical illness. It is suggested that these brain signals should be recorded in the critical care unit, and that they should form part of the annotated database of biosignals established during the IMPROVE project. This would allow for the development of new methods for on-line warning of impending damage to the central nervous system, such that corrective actions could be taken before permanent damage occurred.

Auscultation↗