Evidence map›Paper›PMID 34995278›Full record

ArticlePloS one

Lack of authentic atrial fibrillation in commonly used murine atrial fibrillation models.

Fumin Fu, Michael Pietropaolo, Lei Cui, Shilpa Pandit, Weiyan Li, Oleg Tarnavski, Suraj S Shetty, Jing Liu, Jennifer M Lussier, Yutaka Murakami and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Metabolic and Inflammatory Mechanisms Driving Atrial Fibrillation.Annual review of pharmacology and toxicology · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mouse models of spontaneous atrial fibrillation.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  11. Prolonged Piezo1 Activation Induces Cardiac Arrhythmia.International journal of molecular sciences · 2023
    Article
  12. Article
  13. Review
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

17 authors.

Fumin FuCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Michael PietropaoloCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Lei CuiCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Shilpa PanditCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Weiyan LiCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Oleg TarnavskiCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Suraj S ShettyCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Jing LiuCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Jennifer M LussierCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Yutaka MurakamiCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Prabhjit K GrewalCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Galina DeynekoCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Gordon M TurnerCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Andrew K P TaggartCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
M Gerard WatersCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Shaun CoughlinCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.
Yuichiro AdachiCardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America.ORCID https://orcid.org/0000-0002-3589-445X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mouse is a useful preclinical species for evaluating disease etiology due to the availability of a wide variety of genetically modified strains and the ability to perform disease-modifying manipulations. In order to establish an atrial filtration (AF) model in our laboratory, we profiled several commonly used murine AF models. We initially evaluated a pharmacological model of acute carbachol (CCh) treatment plus atrial burst pacing in C57BL/6 mice. In an effort to observe micro-reentrant circuits indicative of authentic AF, we employed optical mapping imaging in isolated mouse hearts. While CCh reduced atrial refractoriness and increased atrial tachyarrhythmia vulnerability, the left atrial (LA) excitation patterns were rather regular without reentrant circuits or wavelets. Therefore, the atrial tachyarrhythmia resembled high frequency atrial flutter, not typical AF per se. We next examined both a chronic angiotensin II (Ang II) infusion model and the surgical model of transverse aortic constriction (TAC), which have both been reported to induce atrial and ventricular structural changes that serve as a substrates for micro-reentrant AF. Although we observed some extent of atrial remodeling such as fibrosis or enlarged LA diameter, burst pacing-induced atrial tachyarrhythmia vulnerability did not differ from control mice in either model. This again suggested that an AF-like pathophysiology is difficult to demonstrate in the mouse. To continue searching for a valid murine AF model, we studied mice with a cardiac-specific deficiency (KO) in liver kinase B1 (Cardiac-LKB1), which has been reported to exhibit spontaneous AF. Indeed, the electrocardiograms (ECG) of conscious Cardiac-LKB1 KO mice exhibited no P waves and had irregular RR intervals, which are characteristics of AF. Histological evaluation of Cardiac-LKB1 KO mice revealed dilated and fibrotic atria, again consistent with AF. However, atrial electrograms and optical mapping revealed that electrical activity was limited to the sino-atrial node area with no electrical conduction into the atrial myocardium beyond. Thus, Cardiac-LKB1 KO mice have severe atrial myopathy or atrial standstill, but not AF. In summary, the atrial tachyarrhythmias we observed in the four murine models were distinct from typical human AF, which often exhibits micro- or macro-reentrant atrial circuits. Our results suggest that the four murine AF models we examined may not reflect human AF well, and raise a cautionary note for use of those murine models to study AF.

Indexed as

Disease Models, AnimalAMP-Activated Protein KinasesAnimalsAtrial FibrillationAtrial FlutterAtrial Function, LeftAtrial RemodelingCarbacholCardiac Pacing, ArtificialElectrocardiographyMiceMice, Inbred C57BLMyocardiumMyocytes, CardiacTachycardia, VentricularAMP-Activated Protein KinasesCarbacholStk11 protein, mouse

Identifiers

PMID34995278
PMCPMC8741011
OpenAlexW4225531930

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.