23 research outputs found

    v-SNARE actions during Ca²⁺-triggered exocytosis

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    Assembly of SNARE proteins between opposing membranes mediates fusion of synthetic lipo-somes, but it is unknown whether SNAREs act during exocytosis at the moment of Ca²⁺ increase, providing the molecular force for fusion of secretory vesicles. Here, weshowthatexecution of pre- and postfusional Steps during chromaffin granule exocytosis depends crucially on a short molecular distance between the complex-forming SNARE motif and the transmembrane anchor of the vesicular SNARE protein synaptobrevin II. Extending the juxtamembrane region of synaptobrevin by insertion of flexible "linkers" reduces priming of granules, delays initiation of exocytosis upon stepwise elevation of intracellular calcium, attenuates fluctuations of early fusion pores, and slows rapid expansion of the pore in a linker-length dependent fashion. These observations provide evidence that v-SNARE proteins drive Ca²⁺-triggered membrane fusion at millisecond time scale and support a model wherein continuous molecular pulling by SNAREs guides the vesicle throughout the consecutive stages of exocytosis

    Wearable uBrain : Fabric Based-Spiking Neural Network

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    On garment intelligence influenced by artificial neural networks and neuromorphic computing is emerging as a research direction in the e-textile sector. In particular, bio inspired Spiking Neural Networks mimicking the workings of the brain show promise in recent ICT research applications. Taking such technological advancements and new research directions driving forward the next generation of e-textiles and smart materials, we present a wearable micro Brain capable of event driven artificial spiking neural network computation in a fabric based environment. We demonstrate a wearable Brain SNN prototype with multi-layer computation, enabling scalability and flexibility in terms of modifications for hidden layers to be augmented to the network. The wearable micro Brain provides a low size, weight and power artificial on-garment intelligent wearable solution with embedded functionality enabling offline adaptive learning through the provision of interchangeable resistor synaptic weightings. The prototype has been evaluated for fault tolerance, where we have determine the robustness of the circuit when certain parts are damaged. Validations were also conducted for movements to determine if the circuit can still perform accurate computation

    MicroRNA-335-5p suppresses voltage-gated sodium channel expression and may be a target for seizure control

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    There remains an urgent need for new therapies for treatment-resistant epilepsy. Sodium channel blockers are effective for seizure control in common forms of epilepsy, but loss of sodium channel function underlies some genetic forms of epilepsy. Approaches that provide bidirectional control of sodium channel expression are needed. MicroRNAs (miRNA) are small noncoding RNAs which negatively regulate gene expression. Here we show that genome-wide miRNA screening of hippocampal tissue from a rat epilepsy model, mice treated with the antiseizure medicine cannabidiol, and plasma from patients with treatment-resistant epilepsy, converge on a single target-miR-335-5p. Pathway analysis on predicted and validated miR-335-5p targets identified multiple voltage-gated sodium channels (VGSCs). Intracerebroventricular injection of antisense oligonucleotides against miR-335-5p resulted in upregulation of Scn1a, Scn2a, and Scn3a in the mouse brain and an increased action potential rising phase and greater excitability of hippocampal pyramidal neurons in brain slice recordings, consistent with VGSCs as functional targets of miR-335-5p. Blocking miR-335-5p also increased voltage-gated sodium currents and SCN1A, SCN2A, and SCN3A expression in human induced pluripotent stem cell-derived neurons. Inhibition of miR-335-5p increased susceptibility to tonic-clonic seizures in the pentylenetetrazol seizure model, whereas adeno-associated virus 9-mediated overexpression of miR-335-5p reduced seizure severity and improved survival. These studies suggest modulation of miR-335-5p may be a means to regulate VGSCs and affect neuronal excitability and seizures. Changes to miR-335-5p may reflect compensatory mechanisms to control excitability and could provide biomarker or therapeutic strategies for different types of treatment-resistant epilepsy

    Capture of Neuroepithelial-Like Stem Cells from Pluripotent Stem Cells Provides a Versatile System for In Vitro Production of Human Neurons

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    Human embryonic stem cells (hESC) and induced pluripotent stem cells (iPSC) provide new prospects for studying human neurodevelopment and modeling neurological disease. In particular, iPSC-derived neural cells permit a direct comparison of disease-relevant molecular pathways in neurons and glia derived from patients and healthy individuals. A prerequisite for such comparative studies are robust protocols that efficiently yield standardized populations of neural cell types. Here we show that long-term self-renewing neuroepithelial-like stem cells (lt-NES cells) derived from 3 hESC and 6 iPSC lines in two independent laboratories exhibit consistent characteristics including i) continuous expandability in the presence of FGF2 and EGF; ii) stable neuronal and glial differentiation competence; iii) characteristic transcription factor profile; iv) hindbrain specification amenable to regional patterning; v) capacity to generate functionally mature human neurons. We further show that lt-NES cells are developmentally distinct from fetal tissue-derived radial glia-like stem cells. We propose that lt-NES cells provide an interesting tool for studying human neurodevelopment and may serve as a standard system to facilitate comparative analyses of hESC and hiPSC-derived neural cells from control and diseased genetic backgrounds

    Assessment of Impact of Malocclusion on Oral Health Status and Oral Health-related Quality of Life among School and College Students of Chennai, Tamil Nadu, India: A Cross-sectional Study

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    Introduction: Malocclusion is multifactorial in origin, caused by the interaction of various general and local factors. The consequences of malocclusion include dental caries, periodontitis, impaction of teeth, and compromised chewing abilities. Thus, if left untreated, malocclusion can not only lead to oral health problems like periodontal problems and dental caries but also psychological problems, causing a loss of self-esteem and confidence in the individual. Aim: To assess the potential relationship between malocclusion with orthodontic treatment needs and dental caries, periodontal diseases, dental traumatic injuries, oral hygiene, and Oral Health-related Quality of Life (OHRQoL). Materials and Methods: A cross-sectional study was conducted among 1800 school-going and college students at their respective Institutions in Chennai, Tamil Nadu, India from December 2021 to June 2022 with and without orthodontic treatment needs, to identify malocclusion and various oral conditions/diseases associated with it, in addition to the effect of malocclusion on OHRQoL. Oral health status was assessed using the World Health Organisation (WHO) Basic Oral Health Survey (2013); malocclusion was assessed using the Index of Orthodontic Treatment Needs (IOTN) index, and OHRQoL was measured using OHIP-14. Data were analysed using Statistical Packages for Social Sciences (SPSS) version 23.0 software, and statistical significance was assessed using Pearson’s Chi-square test and Mann-Whitney U Test. Results: The study was conducted among 1800 subjects aged between 14 and 21 years (mean 17.47±1.58 years) from various schools and colleges in Chennai. Among the study subjects, 1066 (59.2%) were males, and 734 (40.8%) were females. About 46.7% of the study subjects had malocclusion. The binomial logistic regression analysis suggested that study subjects with orthodontic treatment needs had greater odds of experiencing dental caries, gingival bleeding, and traumatic dental injuries compared to study subjects without orthodontic treatment needs. Conclusion: There is a definite relationship between malocclusion, orthodontic treatment needs, dental caries, periodontal diseases, dental traumatic injuries, oral hygiene, and OHRQoL

    Wearable uBrain: fabric based-spiking neural network

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    On-garment intelligence influenced by artificial neural networks and neuromorphic computing is emerging as a research direction in the E-textile sector. In particular, bio-inspired Spiking Neural Networks (SNN) mimicking the workings of the brain show promise in recent ICT research applications. Taking such technological advancements and new research directions driving forward the next generation of E-textiles and smart materials, we present a wearable µBrain capable of event-driven artificial spiking neural network computation in a fabric based environment. We demonstrate a wearable µBrain SNN prototype with multi-layer computation, enabling scalability and flexibility in terms of modifications for hidden layers to be augmented to the network. The wearable µBrain provides a low size, weight and power (SWaP) artificial on-garment intelligent wearable solution with embedded functionality enabling offline adaptive learning through the provision of interchangeable resistor synaptic weightings. The prototype has been evaluated for fault tolerance, where we have determine the robustness of the circuit when certain parts are damaged. Validations were also conducted for movements to determine if the circuit can still perform accurate computation. As one potential application, we have interfaced the  wearable µBrain to live neurons to demonstrate how pressure sensors on the surface can lead to stimulation of neurons. This demonstrates the potential of the wearable µBrain that can be interfaced directly to the brain in the future to stimulate neural circuits due to patients suffering from neurodegenerative diseases, such as stroke or nerve compression that have resulted in the loss of physical sensation in a patient’s extremities (lower arm).</div

    APP Processing in Human Pluripotent Stem Cell-Derived Neurons Is Resistant to NSAID-Based γ-Secretase Modulation

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    Increasing evidence suggests that elevated Aβ42 fractions in the brain cause Alzheimer's disease (AD). Although γ-secretase modulators (GSMs), including a set of nonsteroidal anti-inflammatory drugs (NSAIDs), were found to lower Aβ42 in various model systems, NSAID-based GSMs proved to be surprisingly inefficient in human clinical trials. Reasoning that the nonhuman and nonneuronal cells typically used in pharmaceutical compound validation might not adequately reflect the drug responses of human neurons, we used human pluripotent stem cell-derived neurons from AD patients and unaffected donors to explore the efficacy of NSAID-based γ-secretase modulation. We found that pharmaceutically relevant concentrations of these GSMs that are clearly efficacious in conventional nonneuronal cell models fail to elicit any effect on Aβ42/Aß40 ratios in human neurons. Our work reveals resistance of human neurons to NSAID-based γ-secretase modulation, highlighting the need to validate compound efficacy directly in the human cell type affected by the respective disease.publisher: Elsevier articletitle: APP Processing in Human Pluripotent Stem Cell-Derived Neurons Is Resistant to NSAID-Based γ-Secretase Modulation journaltitle: Stem Cell Reports articlelink: http://dx.doi.org/10.1016/j.stemcr.2013.10.011 content_type: article copyright: Copyright © 2013 The Authors. Published by Elsevier Inc.status: publishe
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