Arsenic reduces the GATA3 expression associated with an increase in proliferation and migration of mammary epithelial cell line MCF-10A.

Arsenic is associated with the development of breast cancer. However, the molecular mechanisms of arsenic induction of breast cancer are not fully defined. Interaction with zinc finger (ZnF) motifs in proteins is one of the proposed mechanisms of arsenic toxicity. GATA3 is a transcription factor that regulates the transcription of genes associated with cell proliferation, cell differentiation and the epithelial-mesenchymal transition (EMT) in mammary luminal cells. Given that GATA3 possesses two ZnF motifs essential for the function of this protein and that arsenic could alter the function of GATA3 through interaction with these structural motifs, we evaluated the effect of sodium arsenite (NaAsO2) on GATA3 function and its relevance in the development of arsenic-induced breast cancer. Breast cell lines derived from normal mammary epithelium (MCF-10A), hormone receptor-positive and hormone receptor negative breast cancer cells (T-47D and MDA-MB-453, respectively) were used. We observed a reduction on GATA3 protein levels at non-cytotoxic concentrations of NaAsO2 in MCF-10A and T-47D, but not in MDA-MB-453 cells. This reduction was associated with an increase in cell proliferation and cell migration in MCF-10A, but not in T-47D or MDA-MB-453 cells. The evaluation of cell proliferation and EMT markers indicate that the reduction on GATA3 protein levels by arsenic, disrupts the function of this transcription factor. Our data indicate that GATA3 is a tumor suppressor in the normal mammary epithelium and that arsenic could act as an initiator of breast cancer by disrupting the function of GATA3.

Nebulized lidocaine prevents airway inflammation, peribronchial fibrosis, and mucus production in a murine model of asthma.

BACKGROUND: Evidence suggests that nebulized lidocaine is beneficial in asthma therapy, but to what extent and the mechanisms underlying this effect remain poorly understood. The aim of this study was to assess the impact of lidocaine treatment using a murine model of allergic asthma characterized by expression of pivotal features of the disease: inflammation, mucus production, and lung remodeling. METHODS: A/J mice sensitized with ovalbumin were treated with inhaled lidocaine or vehicle immediately after ovalbumin intranasal challenges. Lung function, total and differential leukocytes in bronchoalveolar lavage fluid, peribronchial eosinophil density, interleukin (IL)-4, IL-5 and eotaxin-1 levels, epithelial mucus, collagen, extracellular-matrix deposition, matrix metalloproteinase-9 activity, and GATA-3 expression were evaluated. Between five and eight animals per group were used. RESULTS: Inhaled lidocaine inhibited ovalbumin-induced airway hyperreactivity to methacholine, and accumulation of lymphocytes, neutrophils, and eosinophils in bronchoalveolar lavage fluid 24 h after the last allergen provocation. Lidocaine administration also prevented other pathophysiological changes triggered by ovalbumin in lung tissue, including peribronchial eosinophil and neutrophil infiltration, subepithelial fibrosis, increased content of collagen and mucus, matrix metalloproteinase-9 activity, and increased levels of IL-4, IL-5, IL-13, and eotaxin-1. Furthermore, inhaled lidocaine inhibited lung tissue GATA-3 expression in ovalbumin-challenged mice. We also demonstrated that lidocaine inhibited the expression of GATA-3 in ovalbumin-stimulated T cells in vitro. CONCLUSIONS: Inhaled lidocaine prevents eosinophilic inflammation, overproduction of mucus, and peribronchial fibrosis in a murine model of asthma, and impaired airway hyperreactivity, possibly by inhibiting allergen-evoked GATA-3 expression and the subsequent up-regulation of proinflammatory cytokines and chemokines.

Glucocorticoids inhibit GATA-3 phosphorylation and activity in T cells.

Glucocorticoid (GC) immunosuppression and anti-inflammatory action involve the regulation of several transcription factors (TFs). GCs inhibit the acute production of T-helper (Th) 1 and Th2 cytokines but ultimately favor a shift toward Th2 phenotype. GCs inhibit the transcriptional activity of T-bet Th1 TF by a transrepression mechanism. Here we analyze GC regulation of GATA-3, the master driver of Th2 differentiation. We found that GCs inhibit GATA-3 transcriptional activity. We demonstrate that this mechanism does not involve physical interaction between the glucocorticoid receptor (GR) and GATA-3 or reduction of GATA-3 binding to DNA, as described previously for T-bet. Instead, GCs inhibit GATA-3 activity by inhibition of p38 mitogen-activated protein kinase induced GATA-3 phosphorylation. GCs also inhibit GATA-3 mRNA and protein expression. Finally, GATA-3 inhibition affects the interleukin-5 gene, a central Th2 cytokine. The IC(50) of dexamethasone is 10 nM with a maximum effect at 100 nM. All inhibitory actions were blocked by the GR antagonist RU38486 (1 uM), proving the specificity of GR action. In view of the crucial role of GATA-3 in T-cell differentiation and inflammation, we propose that the mechanism of GATA-3 inhibition compared with that in T-bet may have relevant implications in understanding and modulating the anti-inflammatory and Th-regulatory properties of GCs.

CD43 signals induce Type One lineage commitment of human CD4+ T cells.

BACKGROUND: The activation and effector phenotype of T cells depend on the strength of the interaction of the TcR with its cognate antigen and additional signals provided by cytokines and by co-receptors. Lymphocytes sense both the presence of an antigen and also clues from antigen-presenting cells, which dictate the requisite response. CD43 is one of the most abundant molecules on the surface of T cells; it mediates its own signalling events and cooperates with those mediated by the T cell receptor in T cell priming. We have examined the role of CD43 signals on the effector phenotype of adult CD4+ and CD8+ human T cells, both alone and in the presence of signals from the TcR. RESULTS: CD43 signals direct the expression of IFNgamma in human T cells. In freshly isolated CD4+ T cells, CD43 signals potentiated expression of the IFNgamma gene induced by TcR activation; this was not seen in CD8+ T cells. In effector cells, CD43 signals alone induced the expression of the IFNgamma gene in CD4+ T cells and to a lesser extent in CD8+ cells. The combined signals from CD43 and the TcR increased the transcription of the T-bet gene in CD4+ T cells and inhibited the transcription of the GATA-3 gene in both populations of T cells, thus predisposing CD4+ T cells to commitment to the T1 lineage. In support of this, CD43 signals induced a transient membrane expression of the high-affinity chains of the receptors for IL-12 and IFNgamma in CD4+ T cells. CD43 and TcR signals also cooperated with those of IL-12 in the induction of IFNgamma expression. Moreover, CD43 signals induced the co-clustering of IFNgammaR and the TcR and cooperated with TcR and IL-12 signals, triggering a co-capping of both receptors in CD4+ populations, a phenomenon that has been associated with a T1 commitment. CONCLUSION: Our results suggest a key role for CD43 signals in the differentiation of human CD4+ T cells into a T1 pattern.