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Nguyen, S. L.

Publications and source records attributed to Nguyen, S. L..

2 recordsLinked to original sources

The Neurovascular Basis of Postictal Amnesia

Long-lasting confusion and memory difficulties during the postictal state remain a major unmet problem in epilepsy that lacks pathophysiological explanation and treatment. We previously identified that long-lasting periods of severe postictal hypoperfusion/hypoxia, not seizures per se, are associated with memory impairment after temporal lobe seizures. While this observation suggests a key pathophysiological role for insufficient energy delivery, it is unclear how the networks that underlie episodic memory respond to vascular constraints that ultimately give rise to amnesia. Here, we focused on cellular/network level analyses in the CA1 of hippocampus in vivo to determine if neural activity, network oscillations, synaptic transmission, and/or synaptic plasticity are impaired following kindled seizures. Importantly, the induction of severe postictal hypoperfusion/hypoxia was prevented in animals treated by a COX-2 inhibitor, which experimentally separated seizures from their vascular consequences. We observed complete activation of CA1 pyramidal neurons during brief seizures, followed by a short period of reduced activity and flattening of the local field potential that resolved within minutes. During the postictal state, constituting tens of minutes to hours, we observed no changes in neural activity, network oscillations, and synaptic transmission. However, long-term potentiation of the temporoammonic pathway to CA1 was impaired in the postictal period, but only when severe local hypoxia occurred. Lastly, we tested the ability of rats to perform object-context discrimination, which has been proposed to require temporoammonic input to differentiate between sensory experience and the stored representation of the expected object-context pairing. Deficits in this task following seizures were reversed by COX-2 inhibition, which prevented severe postictal hypoxia. These results support a key role for hypoperfusion/hypoxia in postictal memory impairments and identify that many aspects of hippocampal network function are resilient during severe hypoxia except for long-term synaptic plasticity.

neuroscience

Visualizing murine placental extracellular vesicle data with tidyNano: a computational framework for analyzing and visualizing nanoparticle data in R

Extracellular vesicles (EVs) are increasingly recognized as important mediators of intercellular communication, and in mammals are generally classified as ~50-150nm exosomes, ~100-1000nm microvesicles, and apoptotic bodies, each arising as a result of different biological processes. EVs carry protein, lipids, and nucleic acids within the circulation, to target cells whereupon they mediate physiological changes. Due to their small size, quantification and characterization by conventional microscopy is not possible. However, nanoparticle tracking analysis (NTA) has provided a method to determine the fluid concentration and size of extracellular vesicles and other nanoparticles. While NTA provides statistical summaries of samples in an experiment, a recurring difficulty is the organization, manipulation, and management of raw particle count data because of the large size of datasets, and resultant vulnerability to user error. To address these limitations, we developed tidyNano, an R package that provides functions to import, clean, and quickly summarize raw NanoSight (Malvern Panalytical) data for efficient calculation of statistics and visualization. Here, we provide a framework for importing raw nanoparticle data and provide functions to facilitate rapid and efficient analysis, visualization and calculation of summary statistics. tidyNano was used to analyze murine plasma extracellular vesicles across gestation by aggregating and summarizing samples based on technical, biological and gestational parameters. In addition, we developed shinySIGHT, a Shiny web application that allows for interactive exploration and visualization of EV data. Using this package, we analyzed data generated from 36 samples of EV derived from the plasma of mice across gestation.\n\nPeripheral EV concentration increased linearly across pregnancy, with trending increases as early as gestation day (GD) 5.5 and significant rises at GD14.5, and 17.5 relative to EV concentrations in nonpregnant females. Thus, the data highlight the utility of the mouse as a model of EV biology in pregnancy. Further, the package provides a mechanism for seamless analysis of EV data generated by NanoSight. Importantly, this package provides a straightforward framework by which diverse types of large datasets can be simply and efficiently analyzed. tidyNano and shinySIGHT are freely available under the MIT license and is hosted on GitHub (https://nguyens7.github.io/tidyNano/).

cell biology