1
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      AFib-TrainNet - EU Training Network on Novel Targets and Methods in Atrial Fibrillation - H2020

      ,

      Impact

      Science Impact, Ltd.

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The AFib-TrainNet consortium will enable promising young scientists to become excellent research leaders of the future, capable of fighting the challenges that Atrial Fibrillation (AF) presents to the European population. AF is the most common sustained cardiac arrhythmia, occurring in between 1-2% of the general population. More than 6 million Europeans suffer from this arrhythmia and its prevalence is expected to increase by more than two-fold during the next 40 years due to increased life expectancy. Thus, AF is said to assume epidemic proportions. Current options for pharmacological therapy are limited by both low efficacy and side effects, including life?threatening ventricular arrhythmias and severe extra-cardiac toxicities.A very limited number of novel AF drug therapies have been introduced in the last 20 years. This imbalance reflects a gap in understanding in both how AF develops and how it can be treated, which thereby limits the development of new medicines. Our ambition with the AFib-TrainNet is to fill this gap by producing new knowledge, leading to critical insight into origins and mechanisms of sustenance of atrial fibrillation. We will accomplish this by developing novel experimental and computational models recapitulating human AF, and employing these models on two very promising atrial biological targets. Experimental models will be instrumental in improving the understanding AF’s underlying mechanisms, and will, along with clinical data, inform state-of-the-art computational models of human atrial electrophysiology. These new tools will permit fresh insight into the molecular, cellular and electrical mechanisms involved in the progression of healthy atria into an AF state. Our endeavor will deliver results which can be leveraged by the pharmaceutical industry to target AF drug development, and the work accomplished in AFib-TrainNet will thus constitute a beacon in the search for new AF medicine.

          Related collections

          Author and article information

          Journal
          Impact
          impact
          Science Impact, Ltd.
          2398-7073
          November 25 2017
          November 25 2017
          : 2017
          : 10
          : 23-25
          Article
          10.21820/23987073.2017.10.23
          © 2017

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Earth & Environmental sciences, Medicine, Computer science, Agriculture, Engineering

          Comments

          Comment on this article