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Maren Depke<br />

Introduction<br />

STUDIES OF HOST-PATHOGEN INTERACTIONS<br />

Different approaches can be applied to define even more and specific <strong>interactions</strong> between<br />

the <strong>host</strong> and the <strong>pathogen</strong>. Besides classical physiological and microbiological methods, the<br />

modern molecular technologies can considerably help to improve the understanding <strong>of</strong> the<br />

processes acting during encounter <strong>of</strong> <strong>host</strong> and <strong>pathogen</strong> provided that genome sequence<br />

information is available. On the first level, RNA expression pr<strong>of</strong>iling will generate an overview on<br />

the potential changes <strong>of</strong> physiology and metabolism. This approach has the advantage <strong>of</strong><br />

monitoring the whole repertoire <strong>of</strong> the organism using a single analysis method and only one<br />

small sample, because nucleic acid material can be easily amplified <strong>by</strong> laboratory methods.<br />

Whether such changes <strong>of</strong> the RNA messenger really will be substantiated <strong>by</strong> changes on protein<br />

level must be analyzed <strong>by</strong> global or specific proteomic approaches. Here, different methods<br />

address the diverse cellular fractions and can provide a comprehensive impression <strong>of</strong> the<br />

different cellular states referring to protein abundance, but also to protein modification and<br />

subcellular protein localization, which is not accessible with the transcriptomic analysis. A<br />

limitation is in some cases the amount <strong>of</strong> sample material and the bigger effort needed to<br />

perform proteome studies in comparison to transcriptome studies. Results <strong>of</strong> both studies<br />

complement one another. Hence, a combination <strong>of</strong> several different approaches in co-operation<br />

studies is strongly recommended.<br />

Model Systems for Studies <strong>of</strong> Host Reactions Potentially Influencing the<br />

Outcome <strong>of</strong> Infections<br />

Liver gene expression pattern in a mouse psychological stress model<br />

Psychological and physiological stressors can disturb neuroendocrine, immunological,<br />

behavioral, and metabolic functions (Harris et al. 1998, Leibowitz/Wortley 2004, Mizock 1995)<br />

and adaptive physiological processes aim to reconstitute a dynamic equilibrium (McEwen 2004,<br />

Viswanathan/Dhabhar 2005).<br />

In a murine model <strong>of</strong> severe, chronic psychological stress due to 4.5 days <strong>of</strong> intermittent<br />

combined acoustic and restraint stress BALB/c mice developed severe systemic<br />

immunosuppression, neuroendocrinological disturbances and depression-like behavior. Besides<br />

heightened anti-inflammatory cytokine bias, lymphocytopenia, T cell anergy, impaired phagocytic<br />

and oxidative burst responses, increased susceptibility to experimental infection with E. coli,<br />

spontaneous bacterial infiltrations <strong>of</strong> gut commensals into the lung, reduced clearance <strong>of</strong><br />

experimental infections in the long term, attenuation <strong>of</strong> a hyperinflammatory septic shock, and<br />

finally, behavioral and neuroendocrine alterations and a prominent stress-induced loss <strong>of</strong> body<br />

mass without significant changes <strong>of</strong> food and water intake during the observation period became<br />

detectable (Kiank et al. 2006, 2007a, 2007b, 2008).<br />

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