35 research outputs found
Effect of the intracellular calcium concentration chelator BAPTA acetoxy-methylester on action potential duration in canine ventricular myocytes
Intracellular calcium concentration ([Ca(2+)]i) is often buffered by using the cell-permeant acetoxy-methylester form of the Ca(2+) chelator BAPTA (BAPTA-AM) under experimental conditions. This study was designed to investigate the time-dependent actions of extracellularly applied BAPTA-AM on action potential duration (APD) in cardiac cells. Action potentials were recorded from enzymatically isolated canine ventricular myocytes with conventional sharp microelectrodes. The effect of BAPTA-AM on the rapid delayed rectifier K(+) current (IKr) was studied using conventional voltage clamp and action potential voltage clamp techniques. APD was lengthened by 5 muM BAPTA-AM - but not by BAPTA - and shortened by the Ca(2+) ionophore A23187 in a time-dependent manner. The APD-lengthening effect of BAPTA-AM was strongly suppressed in the presence of nisoldipine, and enhanced in the presence of BAY K8644, suggesting that a shift in the [Ca(2+)]i-dependent inactivation of L-type Ca(2+) current may be an important underlying mechanism. However, in the presence of the IKr-blocker dofetilide or E-4031 APD was shortened rather than lengthened by BAPTA-AM. Similarly, the APD-lengthening effect of 100 nM dofetilide was halved by the pretreatment with BAPTA-AM. In line with these results, IKr was significantly reduced by extracellularly applied BAPTA-AM under both conventional voltage clamp and action potential voltage clamp conditions. This inhibition of IKr was partially reversible and was not related to the Ca(2+) chelator effect BAPTA-AM. The possible mechanisms involved in the APD-modifying effects of BAPTA-AM are discussed. It is concluded that BAPTA-AM has to be applied carefully to control [Ca(2+)]i in whole cell systems because of its direct inhibitory action on IKr
GEO-6 assessment for the pan-European region
Through this assessment, the authors and the United Nations Environment Programme (UNEP) secretariat are providing an objective evaluation and analysis of the pan-European environment designed to support environmental decision-making at multiple scales. In this assessment, the judgement of experts is applied to existing knowledge to provide scientifically credible answers to policy-relevant questions. These questions include, but are not limited to the following:• What is happening to the environment in the pan-European region and why?• What are the consequences for the environment and the human population in the pan-European region?• What is being done and how effective is it?• What are the prospects for the environment in the future?• What actions could be taken to achieve a more sustainable future?<br/
Exercise effects in a virtual type 1 diabetes patient: Using stochastic differential equations for model extension
Introduction: Individualized control therapies give better and better results in the artificial pancreas researches. However, due to neglected dynamics the robustness of the methodologies is still a challenge. The Hungarian Artificial Pancreas Working Group (MAP) investigates this problem from several years. On previous ATTD conferences a robust control algorithm based on the Sorensen-model and its validation results were presented..
Aim: The model-free property of the algorithm is investigated based on the Hovorka-model.
Methods: The aforementioned two Type 1 diabetes model (T1DM) was used to generate the virtual patients. Their parameters were identified using data recorded of 203 weeks of 90 T1DM patients in clinical environment from the MAP’s insulin pump centers (aged 6-52 years).
Results: Hypoglycaemia is efficiently avoided and hyperglycaemia is reduced more then 75% to the real datasets if parameter identification and the starting point of the algorithm is well determined. Hence, simulations were started 1-2 days before the start of the identification timeframe in order to minimize problems caused by initial states. However, this requires more apiori information from the patient side.
Conclusions: Use of hard constraints proved their efficiency even in case of model-free investigations. However, a robust identification technique is required to support the proposed control algorithm. Despite the required improvements, preliminary results show that the methodology has the potential to globally handle patient groups and efficiently support individualized control (ex. MPC) protocols.
Further steps: Fault detection analysis of different life situations (like stress, physical activity) is required together with a robust identification methodology