Nitric oxide synthase and NAD(P)H oxidase modulate coronary endothelial cell growth

Reactive oxygen species (ROS) including nitric oxide (NO) and superoxide anion (O2-) are associated with cell migration, proliferation and many growth-related diseases. The objective of this study was to determine whether there was a reciprocal relationship between rat coronary microvascular endothelial cell (CMEC) growth and activity/expressions (mRNA and protein) of endothelial NO synthase (eNOS) and NAD(P)H oxidase enzymes. Proliferating namely, 50% confluent CMEC possessed approximately three-fold increased activity and expression of both enzymes compared to 100% confluent cells. Treatment of CMEC with an inhibitor of eNOS (L-NAME, 100M) increased cell proliferation as assessed via three independent methods i.e. cell counting, determination of total cellular protein levels and [3H]thymidine incorporation. Similarly, treatment of CMEC with pyrogallol (0.3-3 mM), a superoxide anion (O2-)- generator, also increased CMEC growth while spermine NONOate (SpNO), a NO donor, significantly reduced cell growth. Co-incubation of CMEC with a cell permeable superoxide dismutase mimetic (Mn-III-tetrakis-4-benzoic acid-porphyrin; MnTBAP) plus either pyrogallol or NO did not alter cell number and DNA synthesis thereby dismissing the involvement of peroxynitrite (OONO-) in CMEC proliferation. Specific inhibitors of NAD(P)H oxidase but not other ROS-generating enzymes including cyclooxygenase and xanthine oxidase, attenuated cell growth. Transfection of CMEC with antisense p22-phox cDNA, a membrane-bound component of NAD(P)H oxidase, resulted in substantial reduction in [3H]thymidine incorporation, total cellular protein levels and expression of p22-phox protein. These data demonstrate a cross-talk between CMEC growth and eNOS and NAD(P)H oxidase enzyme activity and expression, thus suggesting that the regulation of these enzymes may be critical in preventing the initiation and/or progression of coronary atherosclerosis.

Differential mechanisms of angiotensin II and PDGF-BB on migration and proliferation of coronary artery smooth muscle cells

Angiotensin II (Ang II) and platelet-derived growth factor-BB (PDGF-BB) are associated with excessive cell migration, proliferation and many growth-related diseases. However, whether these agents utilise similar mechanisms to trigger vascular pathologies remains to be explored. The effects of Ang II and PDGF-BB on coronary artery smooth muscle cell (CASMC) migration and proliferation were investigated via Dunn chemotaxis assay and the measurement of [3H]thymidine incorporation rates, respectively. Both atherogens produced similar degrees of cell migration which were dramatically inhibited by mevastatin (10 nM). However, the inhibitory effects of losartan (10 nM) and MnTBAP (a free radical scavenger; 50 μM) were found to be unique to Ang II-mediated chemotaxis. In contrast, MnTBAP, apocynin (an antioxidant and phagocytic NADPH oxidase inhibitor; 500 μM), mevastatin and pravastatin (100 nM) equally suppressed both Ang II and PDGF-BB-induced cellular growth. Although atherogens produced similar changes in NADPH oxidase, NOS and superoxide dismutase activities, they differentially regulated antioxidant glutathione peroxidase activity which was diminished by Ang II and unaffected by PDGF-BB. Studies with signal transduction pathway inhibitors revealed the involvement of multiple pathways i.e. protein kinase C, tyrosine kinase and MAPK in Ang II- and/or PDGF-BB-induced aforementioned enzyme activity changes. In conclusion, Ang II and PDGF-BB may induce coronary atherosclerotic disease formation by stimulating CASMC migration and proliferation through agent-specific regulation of oxidative status and utilisation of different signal transduction pathways.

The Application of a Dendric Cell Algorithm to a Robotic Classifier

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.

The Application of a Dendric Cell Algorithm to a Robotic Classifier

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.

The Application of a Dendric Cell Algorithm to a Robotic Classifier

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.