19 research outputs found
Negative feedback regulation of vasocontraction by potassium channels in 10- to 15-day-old rats: Dominating role of K v
Facile <em>in situ</em> synthesis of nanofluids based on ionic liquids and copper oxide clusters and nanoparticles
A thrombopoietin receptor antagonist is capable of depleting myelofibrosis hematopoietic stem and progenitor cells
Genetics as a molecular window into recovery, its treatment, and stress responses after stroke
Stroke remains a major source of adult disability in the U.S. and worldwide. Most patients show some recovery during the weeks-months following a stroke, but this is generally incomplete. An emerging branch of therapeutics targets the processes underlying this behavioral recovery from stroke towards the goal of reducing long-term disability. A key factor hampering these efforts is the very large degree of variability between stroke survivors. Available data suggest that genetic differences could explain an important fraction of the differences between subjects. The current review considers this from several angles, including genetic differences in relation to drugs that promote recovery. Genetic factors related to physiological and psychological stress responses may also be critically important to understanding recovery after stroke and its treatment. The studies reviewed provide insights into recovery and suggest directions for further research to improve clinical decision-making in this setting. Genetic differences between patients might be used to help clinical trials select specific patient subgroups, on a biological basis, in order to sharpen the precision with which new treatments are evaluated in this context. Pharmacogenomic factors might also provide insights into inter-subject differences in treatment side effects, for pharmacological prescriptions, behavioral interventions, and others. These efforts must be conducted with the strictest ethical standards given the highly sensitive nature of these data. Understanding the effect of selected genetic measures could improve a clinician’s ability to predict the risk and efficacy of a restorative therapy and to make maximally informed decisions, and in so doing facilitate individual patient care