Cardiac myofibril networks induce shear stress.

L A Murray, A P Quinn, C Pinali, D J Collins, V Rajagopal

Abstract read

In one paragraph

Article in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

L A MurrayDepartment of Biomedical Engineering, Faculty of Engineering and IT, The University of Melbourne, Melbourne, VIC, Australia.

A P QuinnDepartment of Biomedical Engineering, Faculty of Engineering and IT, The University of Melbourne, Melbourne, VIC, Australia.

C PinaliDivision of Cardiovascular Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, England.

D J CollinsDepartment of Biomedical Engineering, Faculty of Engineering and IT, The University of Melbourne, Melbourne, VIC, Australia.

V RajagopalDepartment of Biomedical Engineering, Faculty of Engineering and IT, The University of Melbourne, Melbourne, VIC, Australia. vijay.rajagopal@unimelb.edu.au.

Funding

Australian Research Council DP17010358Australian Research Council DP230102550British Heart Foundation FS/18/4/33310National Health and Medical Research Council APP2003446Royal Society International Exchange AwardUniversity of Melbourne Ingenium ScholarshipUniversity of Melbourne Research Training Stipend

6 · The paper itself

Abstract

Myofibril arrangement is critical to cardiac muscle function in health and disease. Historically, analysis of the impact of myofibril organisation on force and cell contraction has relied on the assumption of uniaxial arrays. However, improvements in imaging indicate that myofibrils form complex networks, though how these networks modulate force has yet to be explored. Here, morphological analysis of sheep left-ventricular cardiomyocytes is utilised to inform a non-linear finite element model of cell contraction. Analysis of deep learning segmentations of z-discs demonstrate that myofibrils are oriented about the contraction axis (mean

Indexed as

Myocytes, CardiacMyofibrilsAnimalsAnisotropyBiomechanical PhenomenaComputer SimulationFinite Element AnalysisMyocardial ContractionMyocardiumSheepStress, Mechanical

Identifiers

PMID41927581

DOI10.1038/s41540-026-00696-1

PMCPMC13216349

What Socratic holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.