5 resultados para COX

em CentAUR: Central Archive University of Reading - UK


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We investigated the anti-proliferative effects of an olive oil polyphenolic extract on human colon adenocarcinoma cells. Analysis indicated that the extract contained hydroxytyrosol, tyrosol and the various secoiridoid derivatives, including oleuropein. This extract exerted a strong inhibitory effect on cancer cell proliferation, which was linked to the induction of a G2/M phase cell cycle block. Following treatment with the extract (50 mu g/ml) the number of cells in the G2/M phase increased to 51.82 +/- 2.69% relative to control cells (15.1 +/- 2.5%). This G2/M block was mediated by the ability of olive oil polyphenols (50 mu g/ml) to exert rapid inhibition of p38 (38.7 +/- 4.7%) and CREB (28.6 +/- 5.5%) phosphorylation which led to a downstream reduction in COX-2 expression (56.9 +/- 9.3%). Our data suggest that olive oil polyphenols may exert chemo preventative effects in the large intestine by interacting with signalling pathways responsible for colorectal cancer development. (c) 2007 Elsevier Inc. All rights reserved.

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In this letter, a Box-Cox transformation-based radial basis function (RBF) neural network is introduced using the RBF neural network to represent the transformed system output. Initially a fixed and moderate sized RBF model base is derived based on a rank revealing orthogonal matrix triangularization (QR decomposition). Then a new fast identification algorithm is introduced using Gauss-Newton algorithm to derive the required Box-Cox transformation, based on a maximum likelihood estimator. The main contribution of this letter is to explore the special structure of the proposed RBF neural network for computational efficiency by utilizing the inverse of matrix block decomposition lemma. Finally, the Box-Cox transformation-based RBF neural network, with good generalization and sparsity, is identified based on the derived optimal Box-Cox transformation and a D-optimality-based orthogonal forward regression algorithm. The proposed algorithm and its efficacy are demonstrated with an illustrative example in comparison with support vector machine regression.

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Prostaglandins (PG) are known to induce pain perception indirectly by sensitizing nociceptors. Accordingly, the analgesic action of nonsteroidal anti-inflammatory drugs (NSAIDs) results from inhibition of cyclooxygenases and blockade of PG biosynthesis. Cyclopentenone PGs, 15-d-PGJ(2), PGA(2), and PGA(1), formed by dehydration of their respective parent PGs, PGD(2), PGE(2), and PGE(1), possess a highly reactive alpha,beta-unsaturated carbonyl group that has been proposed to gate the irritant transient receptor potential A1 (TRPA1) channel. Here, by using TRPA1 wild-type (TRPA1(+/+)) or deficient (TRPA1(-/-)) mice, we show that cyclopentenone PGs produce pain by direct stimulation of nociceptors via TRPA1 activation. Cyclopentenone PGs caused a robust calcium response in dorsal root ganglion (DRG) neurons of TRPA1(+/+), but not of TRPA1(-/-) mice, and a calcium-dependent release of sensory neuropeptides from the rat dorsal spinal cord. Intraplantar injection of cyclopentenone PGs stimulated c-fos expression in spinal neurons of the dorsal horn and evoked an instantaneous, robust, and transient nociceptive response in TRPA1(+/+) but not in TRPA1(-/-) mice. The classical proalgesic PG, PGE(2), caused a slight calcium response in DRG neurons, increased c-fos expression in spinal neurons, and induced a delayed and sustained nociceptive response in both TRPA1(+/+) and TRPA1(-/-) mice. These results expand the mechanism of NSAID analgesia from blockade of indirect nociceptor sensitization by classical PGs to inhibition of direct TRPA1-dependent nociceptor activation by cyclopentenone PGs. Thus, TRPA1 antagonism may contribute to suppress pain evoked by PG metabolites without the adverse effects of inhibiting cyclooxygenases.