Evidence mapPaperPMID 41342308Full record

ArticleThe Journal of physiology2026

Structural determinants of re-entrant drivers in atrial fibrillation: insights from digital twins derived from 3D micrometre-resolution imaging of human heart.

Anuradha Kulathilaka, Roshan Sharma, James Kennelly, Ning Li, Jieyun Bai, Bruce H Smaill, Mark L Trew, Vadim V Fedorov, Jichao Zhao

Abstract read
In one paragraph

Article in The Journal of physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Relationships between three-dimensional fibrosis distribution, atrial adiposity, and voltage abnormalities associated with persistent atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Anuradha KulathilakaAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Roshan SharmaAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
James KennellyAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Ning LiDepartment of Physiology & Cell Biology, Bob and Corrine Frick Center for Heart Failure and Arrhythmia, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-7595-3418
Jieyun BaiAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-2847-350X
Bruce H SmaillAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Mark L TrewAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-4296-8231
Vadim V FedorovDepartment of Physiology & Cell Biology, Bob and Corrine Frick Center for Heart Failure and Arrhythmia, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Jichao ZhaoAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-3303-0401

Funding

Targeting the Arrhythmogenic Sources of Human Atrial FibrillationR01HL135109 · NHLBI · OHIO STATE UNIVERSITY · PI Vadim V Fedorov · 2017 to 2026
$6.0M
Integration of structure and signaling in cardiac pacemaker functionR01HL115580 · NHLBI · OHIO STATE UNIVERSITY · PI FEDOROV, VADIM V · 2013 to 2021
$4.2M
Health Research Council of New Zealand 21/355National Heart Foundation of New Zealand 1907NHLBI NIH HHS R01 HL115580NHLBI NIH HHS R01 HL135109NIH HHS HL135109The National Foreign Experts Program H20240205
6 · The paper itself

Abstract

Atrial fibrillation (AF) affects over 45 million people worldwide. Although catheter ablation is the most promising treatment, its outcomes in patients with persistent AF remain suboptimal. This is attributed to insufficient insights into how structural substrates in human atria sustain AF and the lack of precise methods to identify ablation targets. Here, we investigate how atrial wall thickness (AWT), myofibre organisation and fibrosis govern the stability and localisation of re-entrant drivers (RDs). Five human donor atria from individuals with cardiac co-morbidities were functionally characterised using optical mapping and structurally imaged at an isotropic resolution of 170-180 µm via 9.4T gadolinium-enhanced magnetic resonance imaging. Heart-specific digital twins with and without specific structural components were developed to evaluate their effects on RD stability and localisation. Simulations revealed that AWT variations had a global influence on RD dynamics, with RDs preferentially drifting toward and stabilising in atrial regions with smaller AWT values, more prominently in the right atrium (RA) than the left atrium (LA). Incorporating myofibre orientation further constrained RD localisation, particularly in the posterior LA and lateral RA, where well-aligned myofibres bordered regions of disorganised fibres. This effect was more pronounced in the RA than in the LA. In contrast, fibrosis had the most significant influence on RD localisation in the LA, with RDs anchoring at fibrotic border zones. This study highlights AWT as a key determinant of AF maintenance, with 3D myofibre orientation and fibrosis holding region-specific influences on RD localisation and stability. RDs were consistently localised in regions with smaller AWT, aligned myofibres adjacent to disorganised structures and/or fibrotic border zones. These findings provide mechanistic insights into human AF maintenance and potential structural substrate targets for mechanism-based improved ablation strategies. KEY POINTS: Digital twins of human atria ex vivo revealed that atrial wall thickness (AWT) has a global impact on re-entrant driver (RD) dynamics. RDs drifted toward and along AWT gradients, and tended to localise in regions with smaller AWT. This effect was more pronounced in the right atrium (RA) than in the left atrium (LA). Incorporating myofibre orientation into heart-specific AWT models further constrained RD localisation, particularly in the posterior LA and the lateral RA, where well-aligned myofibres bordered disorganised regions. This effect was most substantial in the RA due to the prominent myofibre bundle architecture in the lateral RA. Fibrosis had a lesser impact on RDs in the RA compared to the LA. Specifically, RD locations remain relatively stable in the RA, regardless of the presence or absence of fibrosis. In contrast, fibrosis in the LA significantly altered RD distribution, with RDs clustering near fibrotic border zones.

Indexed as

Atrial FibrillationHeart AtriaAgedFemaleFibrosisHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle Agedatrial fibrillationcomputer modellingdigital twinshuman heartre‐entrant driversstructure remodelling

Identifiers

PMID41342308
PMCPMC12829986

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.