Sustained inflammatory responses are central to the development and progression of chronic diseases, including atherosclerosis and rheumatoid arthritis. A large number of stimuli initiate inflammation by acting on Toll-Interleukin-1 related (TIR) domain containing receptors, producing multiple second messengers and thence large scale transcriptional changes. The mechanism by which this activation occurs is complex, and the continuing isolation of novel pathway components, mostly based on sequence similarities and protein-protein interaction studies, suggests that many elements of the TIR-initiated signalling network remain to be identified. Here we use a new technique, allowing identification of components based on function. We report the performance of the screen, our identification of human tribbles as a novel protein family regulating inflammatory signalling networks, and the detection of ten other components with poorly characterized roles in inflammatory signalling pathways. In total, we have identified 28 signalling molecules of diverse molecular mechanism by screening 11% of a cDNA library for the ability to modulation expression of human IL-8, and other molecules remain to be followed up. The results suggest that the number of human genes involved in IL-8 induction pathways exceed 100. The isolation of signalling components by the approach we describe allows detection of new classes of signalling components independent of existing techniques for doing so; it is simple and robust, and constitutes a general method for mapping signal transduction systems controlling gene expression.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.cellsig.2005.04.012 | DOI Listing |
Neural Comput
January 2025
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200437, China
Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued artificial neural networks, which produce results in a single step, SNNs require multiple steps during inference to achieve a desired accuracy level, resulting in a burden in real-time response and energy efficiency. Inspired by the tradeoff between speed and accuracy in human and animal decision-making processes, which exhibit correlations among reaction times, task complexity, and decision confidence, an inquiry emerges regarding how an SNN model can benefit by implementing these attributes.
View Article and Find Full Text PDFChaos
January 2025
Department of Physics, Isfahan University of Technology, Isfahan 84156-83111, Iran.
We examine the impact of the time delay on two coupled massive oscillators within the second-order Kuramoto model, which is relevant to the operations of real-world networks that rely on signal transmission speed constraints. Our analytical and numerical exploration shows that time delay can cause multi-stability within phase-locked solutions, and the stability of these solutions decreases as the inertia increases. In addition to phase-locked solutions, we discovered non-phase-locked solutions that exhibit periodic and chaotic behaviors, depending on the amount of inertia and time delay.
View Article and Find Full Text PDFJ Physiol
January 2025
Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Motor cortical high-gamma oscillations (60-90 Hz) occur at movement onset and are spatially focused over the contralateral primary motor cortex. Although high-gamma oscillations are widely recognized for their significance in human motor control, their precise function on a cortical level remains elusive. Importantly, their relevance in human stroke pathophysiology is unknown.
View Article and Find Full Text PDFAnesthesiology
January 2025
Department of Anesthesiology, Brigham and Women's Hospital and Harvard Medical School, Boston MA, USA.
Introduction: Accurate prognostication in comatose survivors of cardiac arrest is a challenging and high-stakes endeavor. We sought to determine whether internal EEG subparameters extracted by the Bispectral Index (BIS) monitor, a device commonly used to estimate depth-of-anesthesia intraoperatively, could be repurposed to predict recovery of consciousness after cardiac arrest.
Methods: In this retrospective cohort study, we trained a 3-layer neural network to predict recovery of consciousness to the point of command following versus not based on 48 hours of continuous EEG recordings in 315 comatose patients admitted to a single US academic medical center after cardiac arrest (Derivation cohort: N=181; Validation cohort: N=134).
Allergol Immunopathol (Madr)
January 2025
Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran;
Common variable immunodeficiency (CVID) is the most common symptomatic and heterogeneous type of inborn errors of immunity (IEI). However, the pathogenesis process of this disease is often unknown. Epigenetic modifications may be involved in unresolved patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!