Leptin, the satiety hormone, appears to act as a link between nutritional status and immune function. It has been shown to elicit a number of immunoregulatory effects, including the promotion of T cell proliferative responses, and the induction of proinflammatory cytokines. Leptin deficiency is associated with an increased susceptibility to infection. As polymorphonuclear neutrophils (PMN) play a major role in innate immunity and host defense against infection, this study evaluated the influence of leptin on PMN activation. The presence of leptin receptor in human PMN was determined both at mRNA and protein levels, and the effect of leptin on PMN activation, as assessed by CD11b expression, was evaluated using flow cytometry. In contrast to monocytes, which express both the short and long forms of the leptin receptor (Ob-Ra and Ob-Rb, respectively), PMN expressed only Ob-Ra. Leptin up-regulated the expression of CD11b, an early marker of PMN activation, on PMN in whole blood, yet it had no effect on purified PMN, even those treated by submaximal doses of TNF-α or PMA. The kinetics of leptin-induced activation in whole blood were consistent with an indirect effect mediated by monocytes, and 71% of the leptin-stimulatory effect on PMN was blocked by a TNF-α inhibitor. Leptin-mediated induction of CD11b expression was observed when purified PMN were coincubated with purified monocytes. In conclusion, although leptin activates PMN, it does so indirectly via TNF-α release from monocytes. These findings provide an additional link among the obesity-derived hormone leptin, innate immune function, and infectious disease.
Although primarily regarded as being intracellular, this study has identified the presence of heat shock protein 60 (Hsp60) in the peripheral circulation of normal individuals. The median Hsp60 concentration was approximately 3.5-fold higher in females than in males and significantly higher levels of anti-human Hsp60 antibodies were also detected in females. There were no differences in the levels of antibodies to mycobacterial Hsp60 between males and females, nor did antibody levels correlate with Hsp60 concentrations. Hsp60 was not released from mitogenically stimulated peripheral blood mononuclear cells. The potential physiological roles for circulating Hsp60 are unknown. Given the emerging evidence that inappropriate reactivity to heat shock proteins is involved in autoimmune disease and that T cells responsive to self Hsp60 appear to be protective, these findings suggest that circulating Hsp60 may be involved in the regulation of tolerance to self and immunity to bacterial forms of these widely expressed and structurally conserved proteins.
Epithelial–mesenchymal transition (EMT) is a key event that is involved in the invasion and dissemination of cancer cells. Although typically considered as having tumour-suppressive properties, transforming growth factor (TGF)-β signalling is altered during cancer and has been associated with the invasion of cancer cells and metastasis. In this study, we report a previously unknown role for the cytoplasmic promyelocytic leukaemia (cPML) tumour suppressor in TGF-β signalling-induced regulation of prostate cancer-associated EMT and invasion. We demonstrate that cPML promotes a mesenchymal phenotype and increases the invasiveness of prostate cancer cells. This event is associated with activation of TGF-β canonical signalling pathway through the induction of Sma and Mad related family 2 and 3 (SMAD2 and SMAD3) phosphorylation. Furthermore, the cytoplasmic localization of promyelocytic leukaemia (PML) is mediated by its nuclear export in a chromosomal maintenance 1 (CRM1)-dependent manner. This was clinically tested in prostate cancer tissue and shown that cytoplasmic PML and CRM1 co-expression correlates with reduced disease-specific survival. In summary, we provide evidence of dysfunctional TGF-β signalling occurring at an early stage in prostate cancer. We show that this disease pathway is mediated by cPML and CRM1 and results in a more aggressive cancer cell phenotype. We propose that the targeting of this pathway could be therapeutically exploited for clinical benefit.
Selectin-dependent rolling is the earliest observable event in the recruitment of leukocytes to inflamed tissues. Several glycoproteins decorated with sialic acid, fucose, and/or sulfate have been shown to bind the selectins. The best-characterized selectin ligand is P-selectin glycoprotein-1 (PSGL-1) that supports P-selectin– dependent rolling in vitro and in vivo. In vitro studies have suggested that PSGL-1 may also be a ligand for E- and L-selectins. To study the in vivo function of PSGL-1, without the influence of other leukocyte proteins, the authors observed the interaction of PSGL-1–coated microspheres in mouse venules stimulated to express P- and/or E-selectin. Microspheres coated with functional recombinant PSGL-1 rolled in surgically stimulated and tumor necrosis factor alpha (TNFα)-stimulated mouse venules. P-selectin deficiency or inhibition abolished microsphere rolling in surgically and TNFα-stimulated venules, whereas E-selectin deficiency or inhibition increased microsphere rolling velocity in TNFα-stimulated venules. The results suggest that P-selectin–PSGL-1 interaction alone is sufficient to mediate rolling in vivo and that E-selectin–PSGL-1 interaction supports slow rolling.
Predictive modeling in medicine involves the development of computational models which are capable of analysing large amounts of data in order to predict healthcare outcomes for individual patients. Computational intelligence approaches are suitable when the data to be modelled are too complex for conventional statistical techniques to process quickly and efficiently. These advanced approaches are based on mathematical models that have been especially developed for dealing with the uncertainty and imprecision which is typically found in clinical and biological datasets. This paper provides a survey of recent work on computational intelligence approaches that have been applied to prostate cancer predictive modeling, and considers the challenges which need to be addressed. In particular, the paper considers a broad definition of computational intelligence which includes evolutionary algorithms (also known as ing the performance of prostate cancer predictive models, and the suitability of these approaches are discussed.
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