Regulation of Wnt4 in chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is associated with persistent inflammation and oxidative stress in susceptible individuals. Using microarray analysis of bronchial biopsy samples from patients with COPD and controls, we identified Wnt4 as being up-regulated in COPD. Analysis of bronchial biopsy samples showed a very strong correlation between Wnt4 and IL8 gene expression, suggesting that Wnt4 plays a role in chronic lung inflammation. In vitro, Wnt4 induced proliferation and inflammation in human epithelial cells (BEAS-2B) and normal primary human bronchial epithelial cells in a concentration-dependent manner. This effect was enhanced in the presence of interleukin-1ß (IL-1ß) as a result of activation of the p38 and c-Jun NH2-terminal kinase mitogen-activated protein kinase pathways. Hydrogen peroxide, but not proinflammatory stimuli, up-regulated Wnt4 expression in epithelial cells. In monocytic THP-1 and primary airway smooth muscle cells, Wnt4 induced inflammation and enhanced the inflammatory response to lipopolysaccharide and IL-1ß but did not induce proliferation. In addition, these other cell types did not have enhanced Wnt4 expression in response to hydrogen peroxide. Our results indicate that airway epithelial activation, due to oxidative stress, may lead to Wnt4 induction. Wnt4, in turn, acts through the noncanonical pathway to activate epithelial cell remodeling and IL8 gene expression, leading to neutrophil infiltration and inflammation.

Modification of the rat airway explant transcriptome by cigarette smoke.

Although a number of animal model studies have addressed changes in gene expression in the parenchyma and their relationship to emphysema, much less is known about the pathogenesis of cigarette smoke-induced small airway remodeling. In this study the authors exposed rat tracheal explants, a model of the airway wall, to whole smoke for 15 min, and then cultured the explants in air. The airway transcriptome was evaluated using RAE 230_2 gene chips. By 2 h after starting smoke exposure, expression levels of 502 genes were differentially expressed by more than 1.5 times (p < .01 or less) and by 24 h 1870 genes were significantly changed up or down. These included genes involved in antioxidant protection, epithelial defense and remodeling, inflammatory mediators and transcription factors, and a number of unexpected genes, including the matrix metalloproteinase (MMP)-12 inducer, tachykinin-1 (substance P). Pretreatment of the explants with 1 x 10(-7) M dexamethasone reduced the number of significantly changed genes by approximately 47% at 2 h and 68% at 24 h and in almost all instances reduced the magnitude of the smoke-induced changes. The authors conclude that even a very brief exposure to cigarette smoke can lead to rapid changes in the expression of a large number of genes in rat tracheal explants, and that these effects are directly mediated by smoke, without a need for exogenous inflammatory cells. Steroids, contrary to the usual belief, are able to ameliorate many of these changes, at least in this very acute model.

Inhibition of lipopolysaccharide-stimulated chronic obstructive pulmonary disease macrophage inflammatory gene expression by dexamethasone and the p38 mitogen-activated protein kinase inhibitor N-cyano-N'-(2-{[8-(2,6-difluorophenyl)-4-(4-fluoro-2-methylphenyl)-7-oxo-7,8-dihydropyrido[2,3-d] pyrimidin-2-yl]amino}ethyl)guanidine (SB706504).

p38 mitogen-activated protein kinase (MAPK) signaling is known to be increased in chronic obstructive pulmonary disease (COPD) macrophages. We have studied the effects of the p38 MAPK inhibitor N-cyano-N'-(2-{[8-(2,6-difluorophenyl)-4-(4-fluoro-2-methylphenyl)-7-oxo-7,8-dihydropyrido[2,3-d]-pyrimidin-2-yl]amino}ethyl)guanidine (SB706504) and dexamethasone on COPD macrophage inflammatory gene expression and protein secretion. We also studied the effects of combined SB706504 and dexamethasone treatment. Lipopolysaccharide (LPS)-stimulated monocyte derived macrophages (MDMs) and alveolar macrophages (AMs) were cultured with dexamethasone and/or SB706504. MDMs were used for gene array and protein studies, whereas tumor necrosis factor (TNF) alpha protein production was measured from AMs. SB706504 caused transcriptional inhibition of a range of cytokines and chemokines in COPD MDMs. The use of SB706504 combined with dexamethasone caused greater suppression of gene expression (-8.90) compared with SB706504 alone (-2.04) or dexamethasone (-3.39). Twenty-three genes were insensitive to the effects of both drugs, including interleukin (IL)-1beta, IL-18, and chemokine (CC motif) ligand (CCL) 5. In addition, the chromosome 4 chemokine cluster members, CXCL1, CXCL2, CXCL3, and CXCL8, were all glucocorticoid-resistant. SB706504 significantly inhibited LPS-stimulated TNFalpha production from COPD and smoker AMs, with near-maximal suppression caused by combination treatment with dexamethasone. We conclude that SB706504 targets a subset of inflammatory macrophage genes and when used with dexamethasone causes effective suppression of these genes. SB706504 and dexamethasone had no effect on the transcription of a subset of LPS-regulated genes, including IL-1beta, IL-18, and CCL5, which are all known to be involved in the pathogenesis of COPD.

Gene expression profiles in the rat streptococcal cell wall-induced arthritis model identified using microarray analysis.

Experimental arthritis models are considered valuable tools for delineating mechanisms of inflammation and autoimmune phenomena. Use of microarray-based methods represents a new and challenging approach that allows molecular dissection of complex autoimmune diseases such as arthritis. In order to characterize the temporal gene expression profile in joints from the reactivation model of streptococcal cell wall (SCW)-induced arthritis in Lewis (LEW/N) rats, total RNA was extracted from ankle joints from naive, SCW injected, or phosphate buffered saline injected animals (time course study) and gene expression was analyzed using Affymetrix oligonucleotide microarray technology (RAE230A). After normalization and statistical analysis of data, 631 differentially expressed genes were sorted into clusters based on their levels and kinetics of expression using Spotfire profile search and K-mean cluster analysis. Microarray-based data for a subset of genes were validated using real-time PCR TaqMan analysis. Analysis of the microarray data identified 631 genes (441 upregulated and 190 downregulated) that were differentially expressed (Delta > 1.8, P < 0.01), showing specific levels and patterns of gene expression. The genes exhibiting the highest fold increase in expression on days -13.8, -13, or 3 were involved in chemotaxis, inflammatory response, cell adhesion and extracellular matrix remodelling. Transcriptome analysis identified 10 upregulated genes (Delta > 5), which have not previously been associated with arthritis pathology and are located in genomic regions associated with autoimmune disease. The majority of the downregulated genes were associated with metabolism, transport and regulation of muscle development. In conclusion, the present study describes the temporal expression of multiple disease-associated genes with potential pathophysiological roles in the reactivation model of SCW-induced arthritis in Lewis (LEW/N) rat. These findings improve our understanding of the molecular events that underlie the pathology in this animal model, which is potentially a valuable comparator to human rheumatoid arthritis (RA).