Publications by authors named "E Bailey Hunsberger"

Objective: Intestinal ischemia can quickly escalate to bowel necrosis and perforation. Transplantation of stem cells presents a novel treatment modality for this problem. We hypothesized that: human adipose-derived stromal cells (hASCs) would increase survival and mesenteric perfusion to a greater degree compared with differentiated cellular controls following ischemic intestinal injury, and improved outcomes with hASC therapy would be associated with preservation of intestinal histological and tight junction architecture, and lower levels of systemic inflammation following intestinal injury.

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Article Synopsis
  • Cellular therapy using human bone marrow-derived mesenchymal stromal cells (hBMSCs) shows promise in treating intestinal ischemia by producing beneficial growth factors and reducing inflammatory responses.
  • In experiments, hBMSCs demonstrated a greater production of growth factors like IL-6 and VEGF, while lowering levels of harmful proinflammatory mediators compared to other cell types.
  • The application of hBMSCs after ischemic injury significantly reduced mortality rates in mice, from 70% to 10%, suggesting a protective role in managing intestinal and liver inflammation.
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Background: Direct peritoneal resuscitation (DPR) has previously been shown to alter blood flow in the small bowel mesenteric vessels in models of intestinal ischemia. However, a survival advantage or its effects on local tissue inflammation have not been previously demonstrated. We hypothesized that DPR would increase survival and decrease intestinal tissue inflammation after intestinal ischemia and reperfusion (I/R) injury.

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Noise and heterogeneity are both known to benefit neural coding. Stochastic resonance describes how noise, in the form of random fluctuations in a neuron's membrane voltage, can improve neural representations of an input signal. Neuronal heterogeneity refers to variation in any one of a number of neuron parameters and is also known to increase the information content of a population.

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Neuroscience currently lacks a comprehensive theory of how cognitive processes can be implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes one such theory, but has not yet gathered significant empirical support, partly due to the technical challenge of building and simulating large-scale models with the NEF. Nengo is a software tool that can be used to build and simulate large-scale models based on the NEF; currently, it is the primary resource for both teaching how the NEF is used, and for doing research that generates specific NEF models to explain experimental data.

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