genomewide characterization of host-pathogen interactions by ...
genomewide characterization of host-pathogen interactions by ...
genomewide characterization of host-pathogen interactions by ...
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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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