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Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate

Cardiac magnetic resonance imaging (MRI) has revealed fibrosis in embolic stroke of undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib). We used computational modeling to understand the absence of arrhythmia in ESUS despite the presence of putatively pro-arrhy...

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Autores principales: Bifulco, Savannah F, Scott, Griffin D, Sarairah, Sakher, Birjandian, Zeinab, Roney, Caroline H, Niederer, Steven A, Mahnkopf, Christian, Kuhnlein, Peter, Mitlacher, Marcel, Tirschwell, David, Longstreth, WT, Akoum, Nazem, Boyle, Patrick M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143793/
https://www.ncbi.nlm.nih.gov/pubmed/33942719
http://dx.doi.org/10.7554/eLife.64213
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author Bifulco, Savannah F
Scott, Griffin D
Sarairah, Sakher
Birjandian, Zeinab
Roney, Caroline H
Niederer, Steven A
Mahnkopf, Christian
Kuhnlein, Peter
Mitlacher, Marcel
Tirschwell, David
Longstreth, WT
Akoum, Nazem
Boyle, Patrick M
author_facet Bifulco, Savannah F
Scott, Griffin D
Sarairah, Sakher
Birjandian, Zeinab
Roney, Caroline H
Niederer, Steven A
Mahnkopf, Christian
Kuhnlein, Peter
Mitlacher, Marcel
Tirschwell, David
Longstreth, WT
Akoum, Nazem
Boyle, Patrick M
author_sort Bifulco, Savannah F
collection PubMed
description Cardiac magnetic resonance imaging (MRI) has revealed fibrosis in embolic stroke of undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib). We used computational modeling to understand the absence of arrhythmia in ESUS despite the presence of putatively pro-arrhythmic fibrosis. MRI-based atrial models were reconstructed for 45 ESUS and 45 AFib patients. The fibrotic substrate’s arrhythmogenic capacity in each patient was assessed computationally. Reentrant drivers were induced in 24/45 (53%) ESUS and 22/45 (49%) AFib models. Inducible models had more fibrosis (16.7 ± 5.45%) than non-inducible models (11.07 ± 3.61%; p<0.0001); however, inducible subsets of ESUS and AFib models had similar fibrosis levels (p=0.90), meaning that the intrinsic pro-arrhythmic substrate properties of fibrosis in ESUS and AFib are indistinguishable. This suggests that some ESUS patients have latent pre-clinical fibrotic substrate that could be a future source of arrhythmogenicity. Thus, our work prompts the hypothesis that ESUS patients with fibrotic atria are spared from AFib due to an absence of arrhythmia triggers.
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spelling pubmed-81437932021-05-26 Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate Bifulco, Savannah F Scott, Griffin D Sarairah, Sakher Birjandian, Zeinab Roney, Caroline H Niederer, Steven A Mahnkopf, Christian Kuhnlein, Peter Mitlacher, Marcel Tirschwell, David Longstreth, WT Akoum, Nazem Boyle, Patrick M eLife Computational and Systems Biology Cardiac magnetic resonance imaging (MRI) has revealed fibrosis in embolic stroke of undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib). We used computational modeling to understand the absence of arrhythmia in ESUS despite the presence of putatively pro-arrhythmic fibrosis. MRI-based atrial models were reconstructed for 45 ESUS and 45 AFib patients. The fibrotic substrate’s arrhythmogenic capacity in each patient was assessed computationally. Reentrant drivers were induced in 24/45 (53%) ESUS and 22/45 (49%) AFib models. Inducible models had more fibrosis (16.7 ± 5.45%) than non-inducible models (11.07 ± 3.61%; p<0.0001); however, inducible subsets of ESUS and AFib models had similar fibrosis levels (p=0.90), meaning that the intrinsic pro-arrhythmic substrate properties of fibrosis in ESUS and AFib are indistinguishable. This suggests that some ESUS patients have latent pre-clinical fibrotic substrate that could be a future source of arrhythmogenicity. Thus, our work prompts the hypothesis that ESUS patients with fibrotic atria are spared from AFib due to an absence of arrhythmia triggers. eLife Sciences Publications, Ltd 2021-05-04 /pmc/articles/PMC8143793/ /pubmed/33942719 http://dx.doi.org/10.7554/eLife.64213 Text en © 2021, Bifulco et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Bifulco, Savannah F
Scott, Griffin D
Sarairah, Sakher
Birjandian, Zeinab
Roney, Caroline H
Niederer, Steven A
Mahnkopf, Christian
Kuhnlein, Peter
Mitlacher, Marcel
Tirschwell, David
Longstreth, WT
Akoum, Nazem
Boyle, Patrick M
Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
title Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
title_full Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
title_fullStr Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
title_full_unstemmed Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
title_short Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
title_sort computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143793/
https://www.ncbi.nlm.nih.gov/pubmed/33942719
http://dx.doi.org/10.7554/eLife.64213
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