Modeling spontaneous opioid withdrawal in male and female outbred mice using traditional endpoints and hyperalgesia.

Opioid withdrawal significantly impacts drug dependence cycles as hyperalgesia associated with withdrawal is often a reason for continued drug use. Animal models of addiction are important tools for studying how drug dependence and withdrawal impact not only normal neurocircuitry but also the effectiveness of potential treatments for dependence and withdrawal. We conducted a study of the time course of spontaneous morphine withdrawal in outbred male and female mice that can be used to examine sex differences in male and female mice using both traditional somatic endpoints and mechanical hyperalgesia as an endpoint of withdrawal. Male and female national institute of health (NIH) Swiss mice were made dependent upon morphine using an escalating dosing schedule. Injections were stopped after 5 days. Withdrawal behavior was assessed at time intervals up to 106 h after the final injection. Numbers of forepaw tremors, wet-dog shakes, jumps and other behaviors were scored to create a global score. Paw pressure readings were then also taken to track changes in sensitivity to a painful stimulus over time. Male and female mice had approximately similar withdrawal severity peaking at 24 h after the final injection as measured by composite global scores. Females did exhibit an earlier and greater frequency of tremors than males. Although males and females showed similar hyperalgesia during withdrawal, females recovered faster. Spontaneous opioid withdrawal peaking at 24 h was demonstrated in male and female NIH Swiss mice. We also successfully demonstrated that hyperalgesia is an endpoint that varies over the course of withdrawal.

Unique and overlapping gene expression patterns driven by IL-4 and IL-13 in the mouse lung.

BACKGROUND: Allergic asthma results from inappropriate T(H)2-mediated inflammation. Both IL-4 and IL-13 contribute to asthma pathogenesis, but IL-4 predominantly drives T(H)2 induction, whereas IL-13 is necessary and sufficient for allergen-induced airway hyperresponsiveness and goblet cell hyperplasia. Although these 2 cytokines share signaling components, the molecular mechanisms by which they mediate different phases of the allergic asthmatic response remain elusive. OBJECTIVE: We sought to clarify the role or roles of IL-4 and IL-13 in asthma-pathogenesis. METHODS: We used DNA Affymetrix microarrays to profile pulmonary gene expression in BALB/c mice inoculated intratracheally with ragweed pollen, house dust mite, IL-4, IL-13, or both cytokines. IL-13 dependence was confirmed by comparing pulmonary gene expression in house dust mite-inoculated wild-type and IL-13 knockout mice. RESULTS: A signature gene expression profile consisting of 23 genes was commonly induced by means of inoculation with house dust mite, ragweed pollen, or IL-4 plus IL-13. Although rIL-4 and rIL-13 treatment induced an overlapping set of genes, IL-4 uniquely induced 21 genes, half of which were interferon response genes and half of which were genes important in immunoregulation. IL-13 uniquely induced 8 genes, most of which encode proteins produced by epithelial cells. CONCLUSIONS: IL-4 and IL-13 together account for most allergen-induced pulmonary genes. Selective IL-4 induction of IFN-gamma response genes and other genes that might negatively regulate allergic inflammation could partially explain the greater importance of IL-13 in the effector phase of allergic airway disease.

Disease-specific gene expression profiling in multiple models of lung disease.

RATIONALE: Microarray technology is widely employed for studying the molecular mechanisms underlying complex diseases. However, analyses of individual diseases or models of diseases frequently yield extensive lists of differentially expressed genes with uncertain relationships to disease pathogenesis. OBJECTIVES: To compare gene expression changes in a heterogeneous set of lung disease models in order to identify common gene expression changes seen in diverse forms of lung pathology, as well as relatively small subsets of genes likely to be involved in specific pathophysiological processes. METHODS: We profiled lung gene expression in 12 mouse models of infection, allergy, and lung injury. A linear model was used to estimate transcript expression changes for each model, and hierarchical clustering was used to compare expression patterns between models. Selected expression changes were verified by quantitative polymerase chain reaction. MEASUREMENTS AND MAIN RESULTS: A total of 24 transcripts, including many involved in inflammation and immune activation, were differentially expressed in a substantial majority (9 or more) of the models. Expression patterns distinguished three groups of models: (1) bacterial infection (n = 5), with changes in 89 transcripts, including many related to nuclear factor-kappaB signaling, cytokines, chemokines, and their receptors; (2) bleomycin-induced diseases (n = 2), with changes in 53 transcripts, including many related to matrix remodeling and Wnt signaling; and (3) T helper cell type 2 (allergic) inflammation (n = 5), with changes in 26 transcripts, including many encoding epithelial secreted molecules, ion channels, and transporters. CONCLUSIONS: This multimodel dataset highlights novel genes likely involved in various pathophysiological processes and will be a valuable resource for the investigation of molecular mechanisms underlying lung disease pathogenesis.

Differences in expression, affinity, and function of soluble (s)IL-4Ralpha and sIL-13Ralpha2 suggest opposite effects on allergic responses.

IL-4 and IL-13 are each bound by soluble receptors (sRs) that block their activity. Both of these sRs (sIL-4Ralpha and sIL-13Ralpha2) are present in low nanogram per milliliter concentrations in the serum from unstimulated mice, but differences in affinity and half-life suggest differences in function. Serum IL-4/sIL-4Ralpha complexes rapidly dissociate, releasing active IL-4, whereas sIL-13Ralpha2 and IL-13 form a stable complex that has a considerably longer half-life than uncomplexed IL-13, sIL-13Ralpha2, IL-4, or sIL-4Ralpha. Approximately 25% of sIL-13Ralpha2 in serum is complexed to IL-13; this percentage and the absolute quantity of sIL-13Ralpha2 in serum increase considerably during a Th2 response. sIL-13Ralpha2 gene expression is up-regulated by both IL-4 and IL-13; the effect of IL-4 is totally IL-4Ralpha-dependent while the effect of IL-13 is partially IL-4Ralpha-independent. Inhalation of an IL-13/sIL-13Ralpha2 complex does not affect the expression of IL-13-inducible genes but increases the expression of two genes, Vnn1 and Pira-1, whose products activate APCs and promote neutrophilic inflammation. These observations suggest that sIL-4Ralpha predominantly sustains, increases, and diffuses the effects of IL-4, whereas sIL-13Ralpha2 limits the direct effects of IL-13 to the site of IL-13 production and forms a stable complex with IL-13 that may modify the quality and intensity of an allergic inflammatory response.

Dissecting asthma using focused transgenic modeling and functional genomics.

BACKGROUND: Asthma functional genomics studies are challenging because it is difficult to relate gene expression changes to specific disease mechanisms or pathophysiologic features. Use of simplified model systems might help to address this problem. One such model is the IL-13/Epi (IL-13-overexpressing transgenic mice with STAT6 expression limited to epithelial cells) focused transgenic mouse, which isolates the effects of a single mediator, IL-13, on a single cell type, the airway epithelial cell. These mice develop airway hyperreactivity and mucus overproduction but not airway inflammation. OBJECTIVE: To identify how effects of IL-13 on airway epithelial cells contribute to gene expression changes in murine asthma models and determine whether similar changes are seen in people with asthma. METHODS: We analyzed gene expression in ovalbumin allergic mice, IL-13-overexpressing mice, and IL-13/Epi mice with microarrays. We analyzed the expression of human orthologues of genes identified in the mouse studies in airway epithelial cells from subjects with asthma and control subjects. RESULTS: In comparison with the other 2 models, IL-13/Epi mice had a remarkably small subset of gene expression changes. Human orthologues of some genes identified as increased in the mouse models were more highly expressed in airway epithelial cells from subjects with asthma than in controls. These included calcium-activated chloride channel 1, 15-lipoxygenase, trefoil factor 2, and intelectin. CONCLUSION: The combination of focused transgenic models, DNA microarray analyses, and translational studies provides a powerful approach for analyzing the contributions of specific mediators and cell types and for focusing attention on a limited number of genes associated with specific pathophysiologic aspects of asthma.

Airway fibroblasts exhibit a synthetic phenotype in severe asthma.

BACKGROUND: Platelet-derived growth factor (PDGF) may have a significant role in airway remodeling in asthma, because it is a powerful inductor of many airway fibroblast activities such as collagen synthesis. OBJECTIVE: To determine whether PDGF is a significant contributor to airway remodeling in patients with asthma by enhancing airway fibroblast procollagen I expression. METHODS: Six normal controls without asthma, 10 subjects with mild to moderate asthma, and 5 subjects with severe asthma underwent bronchoscopy with endobronchial biopsy. Biopsies were placed in Dulbecco modified Eagle medium and fibroblasts cultured in the presence and absence of PDGF isoforms -AA, -BB, and -AB (1, 5, 10, 100 ng/mL) and insulin-like growth factor 1 (100 ng/mL). Fibroblast procollagen I and PDGF receptors (PDGFRs) alpha and beta expression were determined by ELISA. RESULTS: Platelet-derived growth factor BB significantly enhanced fibroblast procollagen I expression in patients with severe asthma compared with patients with mild/moderate asthma and normal controls. Furthermore, the baseline fibroblast expression of PDGFR-beta was significantly greater in patients with severe asthma compared with the other groups. CONCLUSION: This pilot study suggests that airway fibroblasts from patients with severe asthma exhibit a synthetic phenotype, which may be driven by the overexpression of PDGFR-beta.