GM-CSF-mediated T-cell activation by macrophages infected with recombinant BCG that secretes major membrane protein-II of Mycobacterium leprae

The potential of Mycobacterium bovis Bacillus Calmette–Guerin (BCG) needs to be augmented to efficiently activate CD4⁺ T cells through macrophages. Mycobacterium leprae -derived recombinant major membrane protein (MMP)-II induced GM-CSF production from macrophages. A recombinant BCG-SM that secretes MMP-II more efficiently produced GM-CSF and activated interferon (IFN)-γ-producing CD4⁺ T cells than did vector control BCG when infected with macrophages. The T-cell activation by BCG-SM was dependent on the GM-CSF production by macrophages. Interleukin (IL)-10 production by macrophages stimulated with M. leprae was inhibited in a GM-CSF-dependent manner when the precursor monocytes were infected with BCG-SM. BCG inducing GM-CSF production was effective in macrophage-mediated T-cell activation partially through IL-10 inhibition.     

Inhibition of canonical Wnt signaling promotes gliogenesis in P0-NSCs

Wnt signaling plays an essential role in the development of mammalian central nervous system. We investigated the impact of activation/inhibition of the Wnt signaling pathway on neuronal/glial differentiation in neurospheres derived from neonatal mouse forebrains. For short term alterations, neurospheres were stimulated with recombinant Wnt-3a, Wnt-5a and the Wnt inhibitor Dickkopf-1 (Dkk1). Furthermore, neurospheres were transduced with retroviral vectors encoding Wnt-3a, Wnt-7a and their inhibitors Dkk1 and soluble Frizzled related protein-5 (sFRP5). Long-term activation of Wnt pathway by Wnt-7a or by treatment with GSK3 inhibitors promoted a moderate increase of the neuronal differentiation and blocked gliogenesis. In contrast, Wnt pathway inhibition in neurospheres, induced by retroviral overexpression of either Dkk1 or sFRP5, robustly increased the gliogenesis at the expense of neurogenesis. In summary, our data demonstrate that activation or inhibition of Wnt/β-catenin signaling in neurospheres regulates neuronal and glial differentiation, respectively. Thus, our results suggest that Wnt signaling may also contribute to regulate these processes in the neonatal brain.     

Implication of protein tyrosine phosphatase 1B in MCF-7 cell proliferation and resistance to 4-OH tamoxifen

The protein tyrosine phosphatase 1B (PTP1B) and the T-cell protein tyrosine phosphatase (TC-PTP) were initially thought to be mainly anti-oncogenic. However, overexpression of PTP1B and TC-PTP has been observed in human tumors, and recent studies have demonstrated that PTP1B contributes to the appearance of breast tumors by modulating ERK pathway. In the present work, we observed that decreasing the expression of TC-PTP or PTP1B in MCF-7 cells using siRNA reduced cell proliferation without affecting cell death. This reduction in proliferation was associated with decreased ERK phosphorylation. Moreover, selection of tamoxifen-resistant MCF-7 cells, by long-term culture in presence of 4-OH tamoxifen, resulted in cells that display overexpression of PTP1B and TC-PTP, and concomitant increase in ERK and STAT3 phosphorylation. siRNA experiments showed that PTP1B, but not TC-PTP, is necessary for resistance to 4-OH tamoxifen. Therefore, our work indicates that PTP1B could be a relevant therapeutic target for treatment of tamoxifen-resistant breast cancers.     

Performance of several variable-selection methods applied to real ecological data

I evaluated the predictive ability of statistical models obtained by applying seven methods of variable selection to 12 ecological and environmental data sets. Cross-validation, involving repeated splits of each data set into training and validation subsets, was used to obtain honest estimates of predictive ability that could be fairly compared among methods. There was surprisingly little difference in predictive ability among five methods based on multiple linear regression. Stepwise methods performed similarly to exhaustive algorithms for subset selection, and the choice of criterion for comparing models (Akaike's information criterion, Schwarz's Bayesian information criterion or F statistics) had little effect on predictive ability. For most of the data sets, two methods based on regression trees yielded models with substantially lower predictive ability. I argue that there is no 'best' method of variable selection and that any of the regression-based approaches discussed here is capable of yielding useful predictive models.     

Identification of the key LMO2-binding determinants on Ldb1

The overexpression of LIM-only protein 2 (LMO2) in T-cells, as a result of chromosomal translocations, retroviral insertion during gene therapy, or in transgenic mice models, leads to the onset of T-cell leukemias. LMO2 comprises two protein-binding LIM domains that allow LMO2 to interact with multiple protein partners, including LIM domain-binding protein 1 (Ldb1, also known as CLIM2 and NLI), an essential cofactor for LMO proteins. Sequestration of Ldb1 by LMO2 in T-cells may prevent it binding other key partners, such as LMO4. Here, we show using protein engineering and enzyme-linked immunosorbent assay (ELISA) methodologies that LMO2 binds Ldb1 with a twofold lower affinity than does LMO4. Thus, excess LMO2 rather than an intrinsically higher binding affinity would lead to sequestration of Ldb1. Both LIM domains of LMO2 are required for high-affinity binding to Ldb1 (K(D) = 2.0 x 10(-8) M). However, the first LIM domain of LMO2 is primarily responsible for binding to Ldb1 (K(D) = 2.3 x 10(-7) M), whereas the second LIM domain increases binding by an order of magnitude. We used mutagenesis in combination with yeast two-hybrid analysis, and phage display selection to identify LMO2-binding "hot spots" within Ldb1 that locate to the LIM1-binding region. The delineation of this region reveals some specific differences when compared to the equivalent LMO4:Ldb1 interaction that hold promise for the development of reagents to specifically bind LMO2 in the treatment of leukemia.     

Features of T-cell subset composition in a D-galactose-induced senescence mouse model

Long-term administration of D-galactose induces oxidative stress and accelerates normal age-related changes. Hence, the D-galactose-treated rodent model has been widely used for aging research. In this study, we examined the immunological characteristics, especially CD4⁺ T-cell subset composition, of D-galactose-induced aging model mice to evaluate the model’s utility in immunosenescence studies. The spleens of aging model mice subjected to repeated subcutaneous injections of D-galactose exhibited significant increases in T cells with the memory phenotype (CD62L^low CD44^high) and individual T-cell subsets (Th1, Th2, Th17 and T_reg). Furthermore, cells with the phenotype of T follicular helper (Tfh) cells were spontaneously increased. The features of T-cell subset composition in D-galactose-treated mice were in close agreement with those observed in normal aged mice and appeared to mimic the currently known normal aging processes associated with T-cell homeostasis. Our results suggest that D-galactose-induced aging models would be useful for immunosenescence studies focusing on T-cell homeostasis and give valuable insight into age-related immune system dysregulation.     

Involvement of proton-sensing receptor TDAG8 in the anti-inflammatory actions of dexamethasone in peritoneal macrophages

Dexamethasone (DEX), a potent glucocorticoid, increased the expression of T-cell death associated gene 8 (TDAG8), a proton-sensing G protein-coupled receptor, which is associated with the enhancement of acidic pH-induced cAMP accumulation, in peritoneal macrophages. We explored the role of increased TDAG8 expression in the anti-inflammatory actions of DEX. The treatment of macrophages with either DEX or acidic pH induced the cell death of macrophages; however, the cell death was not affected by TDAG8 deficiency. While DEX inhibited lipopolysaccharide-induced production of tumor necrosis factor-α, an inflammatory cytokine, which was independent of TDAG8, at neutral pH, the glucocorticoid enhanced the acidic pH-induced inhibition of tumor necrosis factor-α production in a manner dependent on TDAG8. In conclusion, the DEX-induced increase in TDAG8 expression is in part involved in the glucocorticoid-induced anti-inflammatory actions through the inhibition of inflammatory cytokine production under the acidic pH environment. On the other hand, the role of TDAG8 in the DEX-induced cell death is questionable.     

Intracellular free zinc up-regulates IFN-γ and T-bet essential for Th1 differentiation in Con-A stimulated HUT-78 cells

Zinc deficiency impairs cellular immunity. Up-regulation of mRNA levels of IFN-γ, IL-12Rβ2, and T-bet are essential for Th₁ differentiation. We hypothesized that zinc increases Th₁ differentiation via up-regulation of IFN-γ and T-bet expression. To test this hypothesis, we used zinc-deficient and zinc-sufficient HUT-78 cells (a Th₀ cell line) under different condition of stimulation in this study. We also used TPEN, a zinc-specific chelator, to decrease the bioavailability of zinc in the cells. We measured intracellular free zinc, cytokines, and the mRNAs of T-bet, IFN-γ, and IL-12Rβ2. In this study, we show that in zinc-sufficient HUT-78 cells, mRNA levels of IFN-γ, IL-12Rβ2, and T-bet in PMA/PHA-stimulated cells were increased in comparison to zinc-deficient cells. Although intracellular free zinc was increased slightly in PMA/PHA-stimulated cells, Con-A-stimulated cells in 5 μM zinc medium showed a greater sustained increase in intracellular free zinc in comparison to cells incubated in 1 μM zinc. The cells pre-incubated with TPEN showed decreased mRNA levels of IFN-γ and T-bet mRNAs in comparison to cells without TPEN incubation. We conclude that stimulation of cells by Con-A via TCR, release intracellular free zinc which functions as a signal molecule for generation of IFN-γ and T-bet, and IL-12Rβ2 mRNAs required for Th₁ cell differentiation. These results suggest that zinc increase Th₁ cell differentiation by up-regulation of IFN-γ and T-bet, and IL-12Rbβ2 mRNAs.