
pmid: 17059822
Over the last decade, there has been substantial progress toward understanding the pathophysiology and treatment of cardiovascular diseases (CVDs). Elucidating cellular responses to the extracellular environment and signal transduction mechanisms have provided the opportunity to explore novel molecular therapeutic approaches for the treatment of CVDs. Neurohormonal stimulation has been implicated in these diseases; blockade of the renin-angiotensin and beta-adrenergic systems are examples of therapeutic effectiveness. There are multiple cell signaling cascades, some of which are beneficial or compensatory and others deleterious. The balance between these pathways, which in large part is dictated by the cellular environment, determines the outcome as a diseased or non-diseased state. Selective targeting of signaling pathways using protein kinase inhibitors, would have a potential advantage over receptor blockers. We review potential protein kinase targets and recent evidence supporting therapeutic interventional value in CVDs.
rho GTP-Binding Proteins, Glycogen Synthase Kinase 3 beta, MAP Kinase Signaling System, TOR Serine-Threonine Kinases, Models, Cardiovascular, Glycogen Synthase Kinase 3, Phosphatidylinositol 3-Kinases, Cardiovascular Diseases, Calcium-Calmodulin-Dependent Protein Kinases, Animals, Humans, Calcium-Calmodulin-Dependent Protein Kinase Type 2, Protein Kinase Inhibitors, Protein Kinases, Protein Kinase C, Signal Transduction
rho GTP-Binding Proteins, Glycogen Synthase Kinase 3 beta, MAP Kinase Signaling System, TOR Serine-Threonine Kinases, Models, Cardiovascular, Glycogen Synthase Kinase 3, Phosphatidylinositol 3-Kinases, Cardiovascular Diseases, Calcium-Calmodulin-Dependent Protein Kinases, Animals, Humans, Calcium-Calmodulin-Dependent Protein Kinase Type 2, Protein Kinase Inhibitors, Protein Kinases, Protein Kinase C, Signal Transduction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
