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change <strong>of</strong> body weight [g]<br />

leptin [pg/ml]<br />

total T3 [ng/dL]<br />

total T4 [µg/dL]<br />

Maren Depke<br />

Results<br />

Liver Gene Expression Pattern in a Mouse Psychological Stress Model<br />

In fact, the increase in circulating glucocorticoids (GCs) was less pronounced than after acute<br />

stress (Depke et al. 2008: supplemental material 1 at http://endo.endojournals.org), but the<br />

continuing hypothalamic-pituitary-adrenal (HPA) axis response might contribute to the reduction<br />

<strong>of</strong> body weight <strong>of</strong> up to 20 % during the time course <strong>of</strong> repeated stress exposure (Fig. R.1.2 A).<br />

This loss <strong>of</strong> body mass was not associated with significantly altered growth hormone (GH)<br />

concentrations in the blood <strong>of</strong> stressed (13.6 ± 7.6 ng/ml) vs. nonstressed mice<br />

(10.8 ± 5.4 ng/ml). However, stress-induced hyperleptinemia was measured (Fig. R.1.2 B). Total<br />

triiodothyronine / T 3 (Fig. R.1.2 C) and total thyroxine / T 4 levels (Fig. R.1.2 D) were reduced in the<br />

plasma <strong>of</strong> stressed animals, whereas thyroglobulin concentrations remained unchanged (data not<br />

shown).<br />

Fig. R.1.2: Repeated psychological stressinduced<br />

loss <strong>of</strong> BW, increase <strong>of</strong> plasma<br />

leptin levels, and hypothyroidism in mice.<br />

A. Loss <strong>of</strong> body mass during the period <strong>of</strong><br />

4.5 days intermittent stress (black box<br />

plots) compared with nonstressed control<br />

mice (white box plots) (n = 12 mice per<br />

group).<br />

B. Plasma leptin levels after nine stress<br />

cycles compared with nonstressed mice<br />

(n = 12 mice per group).<br />

C, D. T 3 (C) and T 4 (D) concentrations in<br />

the plasma <strong>of</strong> repeatedly stressed and<br />

control mice (n = 12 mice per group).<br />

* p < 0.05; ** p < 0.01 Mann-Whitney<br />

U test; data representative for two<br />

independent experiments.<br />

A B C D<br />

*<br />

0<br />

-2.5<br />

-5<br />

*<br />

750<br />

500<br />

250<br />

0<br />

350<br />

*<br />

300<br />

250<br />

200<br />

7.5<br />

5.0<br />

2.5<br />

0<br />

**<br />

Repeated stress-induced changes <strong>of</strong> global hepatic gene expression<br />

In an approach to a more comprehensive <strong>characterization</strong> <strong>of</strong> the metabolic changes that occur<br />

as a result <strong>of</strong> repeated acoustic and restraint stress, the expression signatures <strong>of</strong> liver from<br />

repeatedly stressed BALB/c mice were recorded and compared with those <strong>of</strong> nonstressed<br />

controls. The Affymetrix-based mRNA expression pr<strong>of</strong>iling <strong>of</strong> the liver <strong>of</strong> repeatedly stressed vs.<br />

nonstressed animals revealed induction and repression, respectively, <strong>of</strong> 120 and 50 genes in both<br />

independent stress experiments performed. To discriminate effects <strong>of</strong> repeated stress from those<br />

<strong>of</strong> acute stress, the changes in the hepatic gene expression that occurred as a result <strong>of</strong> a single<br />

stress exposure were additionally analyzed. In this model <strong>of</strong> acute stress, 192 and 123 genes<br />

displayed stress-mediated induction or repression <strong>of</strong> expression.<br />

Comparatively analyzing the effects <strong>of</strong> acute and repeated stress, it became clear that both<br />

types <strong>of</strong> stress target a common set <strong>of</strong> 94 genes. Furthermore, 221 and 76 genes were<br />

predominantly regulated <strong>by</strong> acute and repeated stress, respectively (Fig. R.1.3 A).<br />

To analyze the changes in gene expression within the framework <strong>of</strong> already accumulated<br />

knowledge, the lists <strong>of</strong> genes differentially expressed after acute and repeated stress or both<br />

were subjected to an analysis using the IPA s<strong>of</strong>tware. This s<strong>of</strong>tware allowed for an intuitive<br />

mining <strong>of</strong> the data <strong>of</strong> the 391 differentially expressed genes to gather an impression <strong>of</strong> the<br />

biological rationale <strong>of</strong> the expression changes experimentally observed within the context <strong>of</strong><br />

published data.<br />

When the IPA s<strong>of</strong>tware was used to analyze the molecular and cellular functions targeted <strong>by</strong><br />

stress, an influence on broad categories such as “cell growth and proliferation” and “cell death”<br />

was noted (Fig. R.1.3 B). However, it was also apparent that genes related to metabolic diseases<br />

were most significantly influenced <strong>by</strong> the repeated stress exposure (Fig. R.1.3 C). This finding was<br />

in line with the metabolic disturbances observed before. Supporting this notion <strong>of</strong> a major impact<br />

64

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