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Populations of models: A new approach for understanding the mechanisms of atrial fibrillation

Abstract:

Inter-subject variability explains the diverging effects to pharmacological treatments of AF reported in the literature. A population of 173 mathematical models of remodeled human atrial tissue with realistic inter–subject variability was developed based on action potential recordings of 149 patients diagnosed with AF. The ranges of 6 biomarkers measured from the patch clamp studies were appropriately covered. The resulting population shows that multiple combinations of variations in the ionic conductances result in AF models that cover the range of biomarkers measured experimentally.


Introducing restrictions associated with pacing rate limits the number of models, restricts calcium transient amplitudes, and shows significant differences in the distribution of variation of parameters associated with INa, IKr and INaK ionic currents. Populations of models will improve the development of new antiarrhythmic treatments preventing undesired effects associated with differences between individuals

Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author



Publisher:
Sociedad Española de Ingeniería Biomédica
Host title:
Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB) 2016
Journal:
Congreso Anual de la Sociedad Española de Ingeniería Biomédica More from this journal
Publication date:
2016-10-01
Acceptance date:
2016-10-20


Pubs id:
pubs:653375
UUID:
uuid:d9346d3b-4a20-45c7-a434-9ade72ac131a
Local pid:
pubs:653375
Source identifiers:
653375
Deposit date:
2016-10-21
ARK identifier:

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