14 research outputs found

    Effects of Interleukin-1-beta, Interleukin-6 and Tumor Necrosis Factor-Alpha, alone or in association with Hexarelin or galanin, on Growth Hormone gene expression and Growth Hormone release from pig pituitary cells.

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    Objective: We studied the effects of IL-1ß, IL-6 and TNF-α•on GH gene expression and secretion with or without galanin and hexarelin. Methods: Pituitary cells from adult pigs were treated with IL-1ß, IL-6 or TNF-• (1, 10 and 100 ng/ml), alone or in association with galanin or hexarelin (10–8 M): GH mRNA was measured by RT-PCR and GH secretion by ELISA. Results: IL-1ß (1, 10 and 100 ng/ml) and IL-6 (1 and 10 ng/ml) significantly (p ! 0.05) enhanced GH output. IL-1ß and TNF-• (1 and 10 ng/ ml) reduced (p ! 0.05) the galanin-induced GH secretion and IL-6 (10 ng/ml) potentiated the effect of both GH releasers (p ! 0.05). GH gene expression was increased only by IL-6 at the concentrations of 1 and 10 ng/ml, either alone or in association with both galanin and hexarelin. Conclusions: We hypothesize that cytokines may play a paracrine/autocrine role in GH regulation in the pituitary independently from the intracellular pathways of the GH secretagogue

    Big Data in Head and Neck Cancer

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    Head and neck cancers can be used as a paradigm for exploring \u201cbig data\u201d applications in oncology. Computational strategies derived from big data science hold the promise of shedding new light on the molecular mechanisms driving head and neck cancer pathogenesis, identifying new prognostic and predictive factors, and discovering potential therapeutics against this highly complex disease. Big data strategies integrate robust data input, from radiomics, genomics, and clinical-epidemiological data to deeply describe head and neck cancer characteristics. Thus, big data may advance research generating new knowledge and improve head and neck cancer prognosis supporting clinical decision-making and development of treatment recommendations
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