Thymosin ß4 expression correlates with lymph node metastasis through hypoxia inducible factor-α induction in breast cancer.

Intratumoral hypoxia has been correlated with distant metastatic potential. Two hypoxia inducible factors (HIFs), HIF-1α and HIF-2α, are induced by hypoxia, and high expression of these proteins has been correlated to angiogenesis and distant metastasis. Thymosin ß4 (Tß4) is frequently highly expressed in cancer, and this overexpression correlates with malignant progression. The objective of this study was to investigate the clinical correlation of HIF-α with Tß4 and the intracellular functional roles of Tß4 on HIF-α activation. We examined HIF-1α, HIF-2α and Tß4 expressions in clinical human breast carcinoma (n=70) by immunohistochemistry. We show that high expression of HIF-1α and HIF-2α strongly correlates with Tß4 expression (P≤0.0001) and overexpression of Tß4 correlates significantly with patients with lymph node metastasis (P<0.05) of human breast cancer. Additionally, we demonstrate that hypoxia up-regulates intracellular Tß4 protein, which then affects HIF-α activity, which is the key in regulating VEGF expression. We confirmed that hypoxia-induced intracellular Tß4 and HIF-α activities were reduced by interference of Tß4 expression using Tß4 shRNA lentivirus. Vascular epidermal growth factor (VEGF)-A, a well-recognized lymphangiogenic cytokine, was also down-regulated, but VEGF-C and VEGF-D expressions were not affected. These findings suggest that the overexpression of Tß4 is strongly associated with HIF-1α and HIF-2α expression and is also clinicopathologically involved with lymph node metastatic potential of breast cancer through the modulation of HIF-αactivation and induction of VEGF-A. Ultimately, these results highlight Tß4 as a potentially therapeutic target in malignant cancers.

A metabolic entropy approach for measurements of systemic metabolic disruptions in patho-physiological States.

Multicellular organisms maintain the stability of their internal environment using metabolic and physiological regulatory mechanisms that are disrupted during disease. The loss of homeostatic control results in a complex set of disordered states that may lead to metabolic network failure and irreversible system damage. We have applied a new statistical entropy-based approach to quantify temporal systemic disorder (divergence of metabolic responses) in experimental patho-physiological states, via NMR-spectroscopy generated metabolic profiles of urine. A recovery (R-) potential metric has also been developed to evaluate the relative extent to which defined metabolic processes are perturbed in the context of a global system in terms of multiple changes in concentrations of biofluid components accompanying the disrupted functional activity. This approach is sensitive to physiological as well as pathological interventions. We show that global disruptions of metabolic processes, lesion reversibility, and disorder in metabolic responses to a stressor can be visualized via metabolic entropy metrics, giving insights into biological robustness and thus providing a new tool for assessing deviation from homeostatic regulation.

Botulinum toxin enhances the implantation effect of adipocytes in C57/BL6 mice.

BACKGROUND: Recently, many plastic surgeons have been using adipogenic-differentiated cell implantation for remodeling scars in patients. However, this technique is not a long-term solution because implanted cells disappear gradually. Therefore, we investigated a method to increase the grafted cell preservation rate by using an effective adjuvant, botulinum toxin. METHODS: The adipogenic-differentiated cells were subcutaneously injected in the dorsal area of C57/BL6 mice with or without botulinum toxin. Two and six weeks later we analyzed the residual volume and confirmed the characteristics of the implanted cells by real-time RT-PCR and immunohistochemistry. RESULTS: Two and six weeks after transplantation we found that the residual volume of the transplantation site was higher in the botulinum toxin-treated group than in the untreated group. We also confirmed that the residual transplanted area has characteristics of adipogenic tissue by histological analysis. Next, to determine the mechanism related to the enhanced preservation rate of grafted cells via treatment with botulinum toxin, we performed immunohistochemical staining for the angiogenesis-related marker CD31. We found that CD31 expression was higher in the botulinum toxin-treated group than in the untreated group. CONCLUSION: We have shown that in vivo grafted adipocyte cell preservation can be enhanced by treatment with botulinum toxin as an adjuvant. We suggest that botulinum toxin further increases this graft preservation rate by enhancing angiogenesis.

Expression of ADAM33 is a novel regulatory mechanism in IL-18-secreted process in gastric cancer.

IL-18 has recently been reported to play a critical role in tumor migration, invasion, and metastasis. Because IL-18 has various biological activities after its secretion as an 18 kDa mature form, the regulation of the IL-18 secretion process is an important step in tumor progression. This study investigated the implication of IL-18 in vascular endothelial growth factor (VEGF)-D-regulated migration, along with the role of the IL-18 secretion process. VEGF-D enhanced cell migration, which was then blocked by inhibiting IL-18. VEGF-D increased IL-18 expression and secretion, suggesting that IL-18 is a critical mediator for VEGF-D-enhanced migration. VEGF-D induced a disintegrin and metalloprotease 33 (ADAM33) expression, which has a metalloproteinase domain. VEGF-D-enhanced IL-18 secretion and cell migration were inhibited by ADAM33 knock-down. Moreover, cell proliferation was considerably reduced in ADAM33 small interfering RNA transfectants. In conclusion, ADAM33 has a key role in gastric cancer pathogenesis by up-regulating IL-18 secretion process, resulting in increased cell migration and proliferation.

Sphingosine kinase inhibitor suppresses IL-18-induced interferon-gamma production through inhibition of p38 MAPK activation in human NK cells.

Natural killer (NK) cells play an important role in the innate immune response. Interleukin-18 (IL-18) is a well-known interferon-gamma (IFN-gamma inducing factor, which stimulates immune response in NK and T cells. Sphingosine kinase (SPHK) catalyzes the formation of sphingosine 1-phosphate (S1P), which acts as a second messenger to function as an anti-apoptotic factor and proliferation stimulator of immune cells. In this study, to elucidate whether SPHK is involved in IL-18-induced IFN-gamma production, we measured IL-18-induced IFN-gamma production after pre-treatment with SPHK inhibitor (SKI) in NK-92MI cells. We found that IL-18-induced IFN-gamma expression was blocked by SKI pre-treatment in both mRNA and protein levels. In addition, the increased IFN-gamma production by stimulation with IL-18 is mediated through both SPHK and p38 MAPK. To determine the upstream signals of SKI and p38 MAPK in IL-18-induced IFN-gamma production, phosphorylation levels of p38 MAPK was measured after SKI pre-treatment. As a result, inhibition of SPHK by SKI blocked phosphorylation of p38 MAPK, showing that SPHK activation by IL-18 is an upstream signal of p38 MAPK activation. Inhibition of SPHK by SKI also inhibited IL-18-induced IFN-gamma production in human primary NK cells. In conclusion, SPHK activation is an essential factor for IL-18-induced IFN-gamma production via p38 MAPK.

Integrative top-down system metabolic modeling in experimental disease states via data-driven Bayesian methods.

Multivariate metabolic profiles from biofluids such as urine and plasma are highly indicative of the biological fitness of complex organisms and can be captured analytically in order to derive top-down systems biology models. The application of currently available modeling approaches to human and animal metabolic pathway modeling is problematic because of multicompartmental cellular and tissue exchange of metabolites operating on many time scales. Hence, novel approaches are needed to analyze metabolic data obtained using minimally invasive sampling methods in order to reconstruct the patho-physiological modulations of metabolic interactions that are representative of whole system dynamics. Here, we show that spectroscopically derived metabolic data in experimental liver injury studies (induced by hydrazine and alpha-napthylisothiocyanate treatment) can be used to derive insightful probabilistic graphical models of metabolite dependencies, which we refer to as metabolic interactome maps. Using these, system level mechanistic information on homeostasis can be inferred, and the degree of reversibility of induced lesions can be related to variations in the metabolic network patterns. This approach has wider application in assessment of system level dysfunction in animal or human studies from noninvasive measurements.