Assessment of the immunomodulatory effects of raw/farm milk and probiotic bacteria

The overall aims of this study were to investigate the differences between raw/farm milk and pasteurised milk with respect to potential immune modifying effects following consumption and investigate the bacterial composition of raw milk compared to pasteurised milk. Furthermore, in this thesis, panels of potential probiotic bacteria from the Bifidobacterium and Lactobacillus genera were investigated. The overall bacterial composition of raw milk was compared with pasteurised milk using samples obtained from commercial milk producers around Ireland using next generation sequencing technology (454 pyrosequencing). Here the presence of previously unrecognised and diverse bacterial populations in unpasteurised cow’s milk was identified. Futhermore the bacterial content of pasteurised milk was found to be more diverse than previously thought. The global response of the adenocarcinoma cell line HT-29 to raw milk and pasteurised milk exposures were also characterised using whole genome microarray technology. Over one thousand differentially expressed genes were identified which were found to be involved in a plethora of cellular functions. Interestingly a reduction in immune related activity (e.g. Major histocompatability complex class II signalling and T and B cell proliferation) was identified in cells exposed to pasteurised milk compared with raw milk exposures. Further studies comparing human cell response to raw versus pasteurised milk was performed using peripheral blood mononuclear cells (PBMC) from healthy donors. A reduction in CD14 was identified following raw milk exposures compared with pasteurised milk and the pattern of cytokine production may indicate that gram positive bacteria in the raw milk were contributing to the differences in the cellular response to raw versus pasteurised milk. Panels of potentially probiotic bacteria (comprising of lactobacilli and bifidobacteria) were further assessed for immunomodulatory capabilities using cell culture based models. Gene expression and cytokine production were used to evaluate stimulated and unstimulated (LPS) cellular responses as well as interaction mechanisms

Exploring an agent as an economic insider threat solution

The insider threat is a security problem that is well-known and has a long history, yet it still remains an invisible enemy. Insiders know the security processes and have accesses that allow them to easily cover their tracks. In recent years the idea of monitoring separately for these threats has come into its own. However, the tools currently in use have disadvantages and one of the most effective techniques of human review is costly. This paper explores the development of an intelligent agent that uses already in-place computing material for inference as an inexpensive monitoring tool for insider threats. Design Science Research (DSR) is a methodology used to explore and develop an IT artifact, such as for this intelligent agent research. This methodology allows for a structure that can guide a deep search method for problems that may not be possible to solve or could add to a phenomenological instantiation.