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

  • Fumin Fu,

    Roles Formal analysis, Investigation, Validation, Visualization

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Michael Pietropaolo,

    Roles Formal analysis, Investigation

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Lei Cui,

    Roles Investigation

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Shilpa Pandit,

    Roles Formal analysis, Investigation, Validation, Visualization

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Weiyan Li,

    Roles Conceptualization, Supervision, Validation, Visualization

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Oleg Tarnavski,

    Roles Formal analysis, Investigation, Validation

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Suraj S. Shetty,

    Roles Supervision, Validation

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Jing Liu,

    Roles Formal analysis, Investigation, Validation, Visualization

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Jennifer M. Lussier,

    Roles Formal analysis, Investigation, Validation, Visualization

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Yutaka Murakami,

    Roles Formal analysis, Investigation, Validation, Visualization

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Prabhjit K. Grewal,

    Roles Supervision, Validation, Visualization

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Galina Deyneko,

    Roles Formal analysis, Investigation, Validation, Visualization

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Gordon M. Turner,

    Roles Supervision, Validation

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Andrew K. P. Taggart,

    Roles Conceptualization, Project administration, Supervision, Validation, Writing – review & editing

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • M. Gerard Waters,

    Roles Conceptualization, Project administration, Supervision, Writing – review & editing

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  • Shaun Coughlin,

    Roles Conceptualization, Project administration, Supervision

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

  •  [ ... ],
  • Yuichiro Adachi

    Roles Conceptualization, Formal analysis, Investigation, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft

    yuichiro.adachi@novartis.com

    Affiliation Cardiovascular and Metabolic Diseases, Novartis Institutes for BioMedical Research, Inc. Cambridge, Massachusetts, United State of America

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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.

Introduction

Atrial fibrillation (AF) is the most common cardiac arrhythmia, with prevalence that increases with age [1]. AF can occur without any signs or symptoms, and if left untreated can lead to serious life-threatening complications including heart failure and stroke [2]. Although pharmacologic and non-pharmacologic treatment options for AF are available [3], these approaches have serious limitations. Pharmacologic treatments usually increase atrial refractoriness to inhibit sustained reentry. However, pharmacologic treatments often have ventricular pro-arrhythmic effects, which are contraindicated in some patient populations such as those with AF with concurrent structural heart disease. Non-pharmacologic treatments such as catheter ablation have issues of surgery complications and AF recurrence. Thus, an unmet medical need for a novel and safe anti-arrhythmic drug for AF remains [1]. To meet this need, establishing a human-translatable animal model is essential for evaluating new anti-arrhythmic therapies. The most commonly used models to date utilize large animals such as dogs, pigs and sheep that develop AF upon rapid atrial pacing [4]. However, due to limited accessibility and high cost of the large animal models, there is a desire to use rodent models.

In recent years, several murine models have been reported to mimic human AF. Among them, a commonly-used model employs acute cholinergic stimulation by carbachol (CCh) treatment followed by burst pacing [5]. CCh treatment mimics parasympathetic stimulation by activating G protein-coupled potassium (GIRK) channels to reduce atrial refractoriness [6], which in turn makes atria vulnerable to re-entry arrhythmias triggered by burst pacing. Two other murine AF models involve production of heart dysfunction by transverse aortic constriction (TAC) surgery or chronic angiotensin (Ang) II-infusion [714]. These models exhibit structural and electrical remodeling in atria, and have been reported to be vulnerable to burst pacing-induced AF.

Several genetically modified rodent models have also been reported to have AF [1520]. Liver kinase B1 (LKB1) is a serine/threonine protein kinase that controls the activity of AMP-activated protein kinase (AMPK) family members. AMPK plays a role in various physiological processes such as cell metabolism, cell polarity, apoptosis and DNA damage response. In the heart, the LKB1-AMPK pathway influences ion channel function, fibrosis induction and apoptosis [21, 22]. Relevant to this work, the Cardiac-specific LKB1 deficient (KO) mouse model has been reported to have persistent AF [2325] that is evident even without burst pacing.

Here we profiled the above murine models to determine whether they are reasonable representations of human AF. In particular, we evaluated atrial electrical activity during tachyarrhythmia and compared the general characteristics of murine AF models to those reported in human and/or large animal models of AF featuring wavelets and/or micro-reentry [26].

Material and methods

All animal studies were approved by the Novartis Institutional Animal Care and Use Committee (IACUC). Institutional protocol numbers used in the studies were 17CVM012, 18CVM031, 18CVM032 and 20CVM023.

In vivo electrophysiology

A 1.1 French octapolar electrode (Transonic, NY, USA) was inserted via the right jugular vein into the right atrium in isoflurane-anesthetized mice. Right atrial (RA) electrograms (EG) and ECG lead II signals were acquired and analyzed using a Power lab system (ADinstruments, Colorado, USA). For CCh studies, CCh (Tokyo Chemical Industry, Catalog # C0596, 0.3 mg/kg in normal saline) was injected intraperitoneally in male 9–11 week old C57BL/6J mice. To evaluate atrial effective refractory period (aERP) and AF inducibility, electrical stimulations were sent to the octapolar electrode using a programmable stimulus generator (STG4004, Multichannel systems, Reutlingen, Germany). For AF inducibility, 5 seconds of electrical burst pacing stimulations with 33, 50 and then 100 Hz rectangular pulses (2 ms width) were applied 6 times at each frequency (total 18 burst pacings). More than 0.5 s of continuous high frequency and polymorphic atrial EG signal after termination of burst pacing was counted as a positive tachyarrhythmia. In most of the cases, tachyarrhythmias self-terminated within seconds. After confirming sinus rhythm for at least 3 min, the next burst pace was applied. When tachyarrhythmia was sustained for more than 300 s, no further burst pacing was introduced. Once electrophysiology procedures were completed, the mice were euthanized under deep anesthesia by exsanguination and tissues were collected for further histological or expression studies.

Isolated heart optical mapping

Mouse hearts were isolated and perfused retrogradely with 37°C Krebs-Henseleit (KH, NaCl 118 mM, KCl 4.0 mM, KH2PO4 1.2 mM, CaCl2 1.8 mM, MgSO4 1.6 mM, NaHCO3 25 mM, glucose 5.5 mM, creatine 0.038 mM, and Na-pyruvate 2 mM) buffer saturated with 95% O2 and 5% CO2 at a constant flow rate of 2–3 mL/min to maintain baseline coronary pressure at 80–100 mmHg. The right atrium was electrically paced with rectangular pulses (2 ms width) at 7–8 Hz or burst paced (100 Hz x 10 s) using silver wire electrodes. Membrane potential dye, Di-4-ANEPPS (AnaSpec, Catalog# AS-84723, 1 μM in KH buffer), was perfused to image excitation of the heart. The dye was excited using a high-powered LED at 530 nm (LEX2-LG4, BrainVision, Tokyo, Japan). The emitted fluorescence (580 nm long pass) was detected using a high-speed CMOS camera (MiCAM03, BrainVision, Tokyo, Japan) with a 135 mm camera lens and 1.6 x objective lens. Images were taken with BV Workbench (version 1.13) acquisition software with 3000 frame/s (128 x 128 pixel) or 2000 frame/s (256 x 256 pixel) for CCh tachyarrhythmia and LKB1 hearts, respectively. BV-ana (version 16.04) and BV Workbench were used to analyze captured images. Images were reconstructed using spacious (mean smoothing of 9–13 pixels) and temporal filters (low path or band pass) to make movies, activation maps and phase maps. CCh was perfused at 1 μM in KH buffer.

Isolated atria optical mapping

Both atria were isolated and placed in a superfusion chamber (Scientific Systems Design, Ontario, Canada). Atrial tissues were superfused with 37°C KH buffer saturated with 95% O2 and 5% CO2 at a flow rate of 3 mL/min. Di-4-ANEPPS (2 μM in KH buffer) was superfused to image membrane potential-dependent signals. Stainless steel pin electrodes were used to deliver electrical stimulation to the RA appendage (RAA).

Transverse aortic constriction

Male 10 week old C57BL/6J mice (The Jackson Laboratory) were subjected to TAC or sham surgery as follows. Animals anesthetized with isoflurane were intubated and ventilated. After adequate depth of anesthesia, the chest cavity was opened by an incision of the left second intercostal space and the aortic arch was dissected from the surrounding tissues. The aortic arch was constricted against a 27 gauge needle with 7–0 silk suture. When the needle was removed, an aortic constriction was generated with a cross-sectional area equivalent to the area of the 27 gauge needle. The chest cavity, muscles and skin were closed. In sham control mice, the entire procedure was identical except that the constriction of the aortic arch was omitted. Analgesic agents, meloxicam and buprenorphine were provided in each animal preemptively and post-operatively for 3 days. After the surgery animals were be monitored at least daily for pain, distress, sepsis and activity until the incision site was healed, and sutures were removed. At 16 weeks after surgery, groups of animals were subjected to terminal electrophysiology to evaluate AF inducibility as described above, and hearts were taken for histological evaluation.

Angiotensin II infusion

Ten weeks old male C57BL/6J mice were implanted with subcutaneous minipumps (Alzet osmotic pump #1004). Preemptive and 3 days postoperative analgesia was provided to the mice. Ang II (Sigma-Aldrich, Catalog# A9525, 2 mg/kg/day, n = 12) or vehicle (0.01 N acetic acid in normal saline, n = 12) was infused continuously for 3 weeks. At 2 weeks after treatment initiation, cardiac function was evaluated using echocardiography. At 3 weeks after treatment initiation, animals were subjected to terminal electrophysiology to evaluate AF inducibility as described above and hearts were taken for histological evaluation.

Echocardiography

Cardiac ultrasound images were obtained from isoflurane anesthetized mice using a Vevo 3100 system (FujiFilm VisualSonics, Ontario, Canada). Left atrial diameter was measured in the parasternal long axis view from the anterior to posterior walls. Left ventricle dimensions and systolic functions were quantified from images obtained in the parasternal short axis view obtained in M-Mode at the mid-level of the papillary muscles. Isovolumic relaxation time (IVRT) was evaluated using pulsed wave Doppler in the apical 4-chamber view. All images were analyzed using VevoLab software.

Heart specific LKB1-deficient mice

LKB1 floxed mice were obtained from The Jackson Laboratory (Stock No: 014143) [27], as were αMHC-Cre transgenic mice (Stock No: 011038). Both strains were backcrossed to C57BL/6 more than 11 times. The strains were interbred and LKB1flox/flox αMHC-Cre+/- mice were used as a cardiac-specific deficient strain (Cardiac-LKB1 KO); littermate LKB1flox/flox αMHC-Cre-/- mice were used as controls. The genotypes of the mice were confirmed by PCR using protocols from The Jackson Laboratory. Both genders of cardiac-LKB1 KO and control mice were implanted with telemetry devices with ECG leads, which were subcutaneously secured at the right shoulder and left flank to obtain ECG lead II (HD-X11, Data Sciences International, St. Paul, MN) at 5 weeks old. Preemptive and 3 days postoperative analgesia was provided to the implanted mice. Ambulatory ECG signals were acquired for 3 days a week for 4 weeks immediately after telemetry implantation and analyzed using Ponemah software (version 6.50, Data Sciences International, MN, USA). Once data acquisition was completed, the mice were euthanized by exsanguinations under deep anesthesia. Tissues were collected for further histological or expression studies.

mRNA expression and histology analysis

Heart tissues were either snap frozen with liquid nitrogen for mRNA extraction or fixed with formalin for the histological examinations. Total RNA was extracted using RNeasy Fibrous Mini kit (QIAGEN, Cat# 74704). cDNA was synthesized using SuperScript VILO Master Mix (Thermo Fisher Scientific, Catalog# 11755250). mRNA levels were quantified using gene-specific primer pairs by real-time RT-PCR on an ABI PRISM 7900HT Sequence Detection System (Thermo Fisher Scientific, MA, US) according to the manufacturer’s protocol. Gene expression was normalized to the geometric mean of three internal control genes (ACTB, B2M and TBP). Assay reagents for each gene were purchased from Thermo Fisher Scientific (S1 Table). For histological assessment of fibrosis, atria were separated from ventricles and embedded for a long-view (sagittal) orientation after marking the right atria with a blue tissue dye to aid in identification. Samples were microtome-sectioned at 5 μm thickness, and the sections were stained with ready-to-use Sirius red dye (Rowley biochemical, Catalog# SO-674) according to manufacturer’s protocol. Fibrotic area was quantified from a single mid-level section from each animal using the area quantification algorithm from the HALO image analysis program (Indica Labs, Inc.).

Data analyses

Data were compared with those observed in the corresponding control group using t-tests with Bonferroni correction (GraphPad Prism™ 8.03). Data are expressed as mean ± SEM. Arrhythmia inducibility was calculated as % of positive tachyarrhythmias from total burst pacing stimulations. Arrhythmia inducibility was compared with the corresponding control group using χ square test. Cumulative arrhythmia times were not distributed normally, and therefore the parameters was expressed as median ± interquartile range (IQR). Non-parametric Mann-Whitney U test was used for statistical comparisons to corresponding control group.

Results

CCh and burst pacing-induced atrial tachyarrhythmia in vivo and in isolated hearts of mice

Acute CCh treatment decreased heart rate in anesthetized C57BL/6 mice (537 ± 5 vs. 360 ± 23 bpm, vehicle and CCh, respectively). Fig 1A and 1B show representative ECG and RA EG traces of vehicle- and CCh-treated mice, respectively. Vehicle-treated animals (Fig 1A) showed sinus rhythm immediately after burst pacing. In contrast, CCh treated mice (Fig 1B) showed a high frequency activation pattern on RA EG and irregular RR interval on ECG. The right atrial ERP was significantly decreased in the CCh-treatment group (Fig 1C). Burst pacing-induced tachyarrhythmia occurrence and cumulative tachyarrhythmia duration were significantly increased by CCh treatment (Fig 1D and 1E, respectively). In isolated hearts, left atrial membrane potential changes were imaged using an optical mapping system. Despite an AF-like phenotype by ECG and atrial EG, the burst pacing-induced tachyarrhythmia in CCh mice showed very similar excitations and propagation patterns to those of sinus rhythm without any reentrant signals or wavelets in the left atrium (Fig 1F and S1 and S2 Movies). The excitation was regular and high frequency (~50 Hz, Fig 1G). We observed similar regular high frequency excitation in all (n = 5) mouse left atria in isolated hearts. In contrast, spiral waves (~35 ms cycle) were detected during ventricular fibrillation in mouse isolated hearts using phase mapping (S1 Fig).

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Fig 1. Characteristics of CCh + burst pacing-induced tachyarrhythmia in C57BL/6 mice and in isolated hearts.

A and B: representative ECG and RA EG traces after 50 Hz burst pacing in vehicle-treated and CCh-treated (0.3 mg/kg, ip) mice, respectively. C: Right Atrial effective refractory period (RA ERP) in vehicle-treated and CCh-treated groups (n = 7 and n = 11, respectively). Each point indicates individual animal data, and lines represent mean ± SEM. D: % of total burst pacing stimulations that resulted in atrial tachyarrhythmias in each group. E: Cumulative atrial tachyarrhythmia time in vehicle and CCh groups (n = 7 and n = 11 respectively). Each point indicates individual animal data, and lines represent median ± IQR. F: Representative activation map during sinus rhythm before CCh treatment. LA activation starts from the lower right and propagates to the upper left. G: An activation map of the same heart after CCh and burst pacing. The LA shows an induced tachyarrhythmia with an activation pattern that is very similar to sinus rhythm, but with high and regular frequency (~50 Hz). Isolated heart ECG of self-terminated tachyarrhythmia is also shown. Similar observations were obtained from 5 out of 5 hearts.

https://doi.org/10.1371/journal.pone.0256512.g001

Atrial tachyarrhythmia vulnerability of TAC or Ang II infusion mice

The above observations from acute CCh-treated mice did not show convincing data representative of human AF. Next, we tested murine models of atrial structural remodeling in an effort to identify a model with more representative features of human AF. The TAC surgery-induced cardiac hypertrophy model was reported to be vulnerable to burst pacing-induced AF [1114, 20]. In our studies, TAC surgery increased the heart weight to body weight ratio in C57BL/6 mice (Fig 2A) at 16 weeks post-surgery. Ventricular ejection fraction (Fig 2B) or LA diameter (Fig 2C) was not changed significantly at 11 weeks post-surgery relative to sham-operated controls as determined by echocardiography. LA fibrotic area was increased significantly in TAC mice at 16 weeks (Fig 2D and 2E, 12.6 ± 1.0% vs 16.4 ± 0.6%, sham and TAC respectively). There were no changes in RA ERP between sham and TAC mice at 16 weeks post-surgery (Fig 2F). Right atrial burst pacing-induced atrial tachyarrhythmia vulnerability was not different between sham and TAC mice at 16 weeks post-surgery (Fig 2G and 2H). Thus, we were not able to observe any evidence of an AF-like phenotype in TAC mice.

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Fig 2. Heart phenotypes and burst pacing-induced tachyarrhythmia in TAC mice.

A: Heart weight / body weight ratio in sham and TAC mice (n = 6 and 10, respectively) at 16 weeks after surgery. Echocardiographic evaluation of EF (B) and LA diameter (C) in sham and TAC mice (n = 12 and 18, respectively) at 11 weeks after surgery. D: Representative images of fibrosis staining (Picrosirius red) of the sham and TAC surgery mouse atria at 16 weeks after surgery. E: LA fibrotic area in sham and TAC mice (n = 6 and 10, respectively) at 16 weeks after surgery. F: RA ERP in sham and TAC mice (n = 6 and 12, respectively) at 16 weeks after surgery. Each point indicates individual animal data, and lines represent mean ± SEM. G: % of positive atrial tachyarrhythmias from total burst pacing stimulations in sham and TAC groups at 16 weeks after surgery. H: Cumulative atrial tachyarrhythmia time in sham and TAC groups (n = 6 and 10, respectively). Each point indicates individual animal data, and lines represent median ± IQR.

https://doi.org/10.1371/journal.pone.0256512.g002

We further evaluated the severe pressure overload model of ascending aortic constriction (AAC). Heart size and RA ERP were significantly increased at 5 weeks after surgery in AAC group. Burst pacing-induced atrial tachyarrhythmia vulnerability was not different between sham and AAC groups (S2 Fig).

Dosing Ang II via infusion has also been reported to induce cardiac structural remodeling with increased AF vulnerability [710, 28, 29]. Three weeks of Ang II infusion increased heart size in C57BL/6 mice (Fig 3A), but did not change EF or LA diameter (Fig 3B and 3C). Atrial fibrotic area was increased in left atria relative to vehicle controls (Fig 3D, 9.7 ± 0.4% vs 18.3 ± 1.9%, vehicle and Ang II respectively). There were no changes in RA ERP between vehicle and Ang II infusion mice (Fig 3F). Percent tachyarrhythmia occurrence or cumulative tachyarrhythmia time was not changed by Ang II infusion despite these structural changes (Fig 3G and 3H). Thus, like the CCh-treated, TAC and AAC mice, we were not able to observe evidence of an AF-like phenotype in Ang II infusion mice.

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Fig 3. Heart phenotypes and burst pacing-induced tachyarrhythmia in Ang II mice.

A: Heart weight / body weight ratio in vehicle and Ang II infusion mice (n = 12/group). Echocardiographic evaluation of EF (B) and LA diameter (C) in vehicle and Ang II infusion mice (n = 12/group). D: Representative images of fibrosis staining of the vehicle and Ang II infusion mouse atria. E: LA fibrotic area in vehicle and Ang II infusion mice (n = 8/group). F: RA ERP in vehicle and Ang II infusion mice (n = 8/group). Each point indicates individual animal data, and lines represent mean ± SEM. G: % of positive atrial tachyarrhythmias from total burst pacing stimulations in vehicle- and Ang II-treated groups. H: Cumulative atrial tachyarrhythmia time in vehicle and Ang II groups (n = 8/group). Each point indicates individual animal data, and lines represent median ± IQR.

https://doi.org/10.1371/journal.pone.0256512.g003

ECG, heart phenotype and electrophysiology of Cardiac-LKB1 KO mice

Since we were not able to observe human-like AF in mouse models featuring burst pacing, we next profiled Cardiac LKB1 KO mice, which have been reported to have a spontaneous AF phenotype. Cardiac-LKB1 KO mice ECGs were monitored via telemetry. At 5 weeks of age, all cardiac-LKB1 KO mice (n = 8) showed an AF-like ECG phenotype with irregular RR intervals without discernable P waves (Fig 4A), whereas all control mice (n = 6) showed normal sinus rhythm. Echocardiography revealed a significant increase in LA diameter (Table 1) in the Cardiac-LKB1 KO mice compared to control mice. Cardiac-LKB1 KO mice had enlarged RA and LA (Fig 4B), and more than half of the Cardiac-LKB1 KO mice had thrombi in the LA appendage (LAA), observed post mortem (5 out of 8 in Cardiac-LKB1 KO mice vs. 0 out of 8 in control mice). Histological evaluation revealed increased fibrotic area in LA in Cardiac-LKB1 KO mice (18.0 ± 1.4 vs 38.5 ± 1.8%, Fig 4C and 4D). In contrast, ventricular functions including EF, stroke volume and left ventricular (LV) mass were not different between control and Cardiac-LKB1 KO mice (Table 1). Left ventricular isovolumic relaxation time indexed to RR interval (IVRT/RR) was significantly increased in Cardiac-LKB1 KO mice.

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Fig 4. ECG, heart histology and RA electrogram traces in Cardiac-LKB1 KO mice.

A: Representative ECG traces from telemetry-implanted control and Cardiac-LKB1 KO mice. B: Representative macro images control and Cardiac-LKB1 KO mouse hearts. Cardiac-LKB1 KO mouse had enlarged atria relative to control atria. C: Representative images of fibrosis staining of the control and Cardiac-LKB1 KO mouse atria. Cardiac-LKB1 KO mouse had increased red staining, indicative of collagen positive areas, in the atria relative to control atria. D: % of positive red stain area over entire LA and RA tissue in control and Cardiac-LKB1 KO mice (n = 8 for each group). Each point indicates individual animal data, and lines represent mean ± SEM. E: Control mice showed sinus rhythm, clear P waves and corresponding RA signal on RA EGs under anesthesia. F: Cardiac-LKB1 KO mice showed irregular RR intervals without P waves on ECG. RA EGs revealed independent and irregular atrial signals.

https://doi.org/10.1371/journal.pone.0256512.g004

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Table 1. Echocardiographic parameters of control and Cardiac-LKB1 KO mice.

https://doi.org/10.1371/journal.pone.0256512.t001

To examine excitation of the atria, RA EG were compared to corresponding surface ECGs, measured concurrently in mice under anesthesia. Control mice (n = 7) had sinus rhythm and, as expected, atrial excitations observed in the EGs aligned with the P waves measured on ECGs (Fig 4E). In contrast, Cardiac-LKB1 KO mice exhibited apparent atrial excitations that were irregular in nature and were never observed to have a high-frequency, fibrillatory pattern (7 out of 7 mice). Furthermore, there was no discernable relationship between these atrial signals and ventricular depolarizations observed via ECG, indicating that the ventricular excitations were not governed by atrial excitations (Fig 4F).

To further profile atrial excitation, Cardiac-LKB1 KO mouse isolated intact hearts and isolated atria were examined via optical mapping. Sinus rhythm and atrial excitation were detected in perfused control mouse hearts (Fig 5A and S3 Movie) but were never detected in the right or left atria in Cardiac-LKB1 KO mice (Fig 5B and S4 Movie). Interestingly, independent excitation generation sites were detected in the RA close to the intra-atrial septum (6 out of 7 hearts, Fig 5B, S4 and S5 Movies) in Cardiac-LKB1 KO mice, but these excitations did not propagate to the whole atrium. These patterns of focal excitation were consistent with those of RA EGs in anesthetized Cardiac-LKB1 KO mice. We next used isolated and superfused atrial tissue to evaluate precisely the site of the focal excitations. In control mouse atria, excitations propagated from the sino-atrial node (SAN) to the RAA as well as to the LAA (Fig 5C and S6 Movie). In contrast, in Cardiac-LKB1 KO mice, only the SAN area showed excitations (Fig 5D and S7 Movie); the excitation was not propagated throughout the atria. This lack of atrial excitation was also evident when exogenous electrical stimulation was applied to the RAA (S8 Movie, 6 out of 6 preparations). We also profiled RA EGs of heterozygous Cardiac-LKB1 KO (LKB1flox/- αMHC-Cre+/-) mice. The heterozygous Cardiac-LKB1 KO mice did not show any of above phenotypes (S3 Fig). Therefore, severe cardiomyocyte knock down of LKB1 is likely required to show these pathological phenotypes.

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Fig 5. Optical mapping of control and Cardiac-LKB1 KO mouse hearts.

A: Representative image of a perfused control mouse heart. LA excitation was detected, and the heart was in sinus rhythm. B: Representative images of perfused Cardiac-LKB1 KO mouse hearts. No atrial excitation was detected and ventricular excitation was confirmed (left). The right image shows a focal area close to atrial septum that was excited independently and irregularly. C: Representative activation map of control mouse atria. Excitation was initiated from the SAN, then propagated though the RA and LA and ended in the RAA and LAA. D: A representative activation map of Cardiac-LKB1 KO mice atria. Excitation was observed only at SAN area; the excitation did not propagate through the atria.

https://doi.org/10.1371/journal.pone.0256512.g005

Gene expression of the right and left atria and left ventricle in Cardiac-LKB1 KO hearts

Expression of key genes was evaluated via RT-PCR in control and Cardiac-LKB1 KO hearts. LKB1 expression was reduced by more than half in both the atria and left ventricle of Cardiac-LKB1 KO mice (Fig 6). Expression of the fibrosis related gene transforming growth factor β1 (TGFb1) was decreased in Cardiac-LKB1 KO mouse atria compared to control mouse atria, whereas other fibrosis related genes, collagen type 1 α1 (COL1a1) and connective tissue growth factor (CTGF), were increased. COL1a1 expression was also increased in Cardiac-LKB1 KO mouse ventricle. Strikingly, there was almost no SCN5a expression in Cardiac-LKB1 KO mouse atria. Connexin 40 (CX40) expression was robust in the atria but not in the left ventricle of control mice, whereas in Cardiac-LKB1 KO mouse hearts, very little CX40 expression was detected. This lack of SCN5A and CX40 expression suggests a profound conduction deficit in the LKB1 KO mice atria.

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Fig 6. mRNA expression level in right atria, left atria and left ventricles of Cardiac-LKB1 KO and control mice.

mRNA expression quantification for LKB1, TGFβ1 (transforming growth factor β1), COL1a1 (collagen type 1 α1), CTGF (connective tissue growth factor), SCN5a (voltage gated sodium channel α subunit 5) and CX40 (connexin 40). Each point indicates individual animal data, and lines represent mean ± SEM.

https://doi.org/10.1371/journal.pone.0256512.g006

Discussion

In order to identify a mouse model that mimics human AF pathophysiology, we first studied an acute model: CCh treatment with burst pacing. The rationale behind this model is that cholinergic activation induces GIRK channel opening to increase IKACh [30, 31], thereby reducing atrial action potential duration and ERP to promote reentry. In fact, GIRK is known to be activated in human AF as a part of ion channel remodeling [30, 32]. Indeed, we found that acute treatment with CCh decreased atrial ERP and increased burst pacing-induced vulnerability to atrial tachyarrhythmia in anesthetized mice. However, when we evaluated CCh and burst pacing-induced tachyarrhythmia using optical mapping in isolated perfused hearts, the atrial tachyarrhythmias in the left atrium were not typical AF-like reentrant arrhythmias; rather they resembled short (~20 msec) and regular cycle length of atrial flutter-like arrhythmia. Atrial flutter is known to feature macro-reentry [33]. A limitation of this isolated heart optical mapping study was the inability to capture the whole right and left atria simultaneously in order to avoid artifacts from the complex 3D surface structure of atria [34, 35]. Therefore, we might have missed macro-reentry type of arrhythmia across both atria. Alternatively, enhanced SAN automaticity or other triggered activities may be a source for the regular and high frequency flutter like firing [36].

We next evaluated the widely used murine heart disease models of TAC surgery or Ang II infusion, which have been reported to increase AF vulnerability [714]. These models are known to induce structural and electrical remodeling in both atria and ventricles, which is not a feature of the acute CCh model. Structural remodeling such as fibrosis can be a substrate for micro-reentrant circuits during AF. In the TAC mice, heart weight / body weight (HW/BW) ratio, LA diameter and LA fibrosis were increased. However, we were not able to demonstrate increased atrial tachyarrhythmia vulnerability, nor did we observe changes in atrial ERP in the TAC mice. Some TAC surgery model studies reported both increased atrial fibrosis and AF vulnerability [11, 13, 14], with more than a 3-fold increase of atrial fibrosis. In contrast, our data indicated an ~30% increase in fibrosis in TAC mice. We therefore thought that our TAC surgery model might not been sufficiently severe and/or lacked substrates for AF, and evaluated a more severe model of TAC, the ascending aortic constriction model. However, again we did not increase AF vulnerability. In contrast to pressure overload models, increased fibrosis was more evident in left atria in the Ang II-treated mouse model. Increased heart weight was also noted in Ang II-treated mice. However, once again we were not able to demonstrate increased atrial tachyarrhythmia vulnerability, nor did we observe changes in atrial ERP in the Ang II mice. Heterogeneity of the local refractoriness or action potential duration is also a key factor for development of reentrant circuits [37]. One potential caveat in our studies is that the TAC and Ang II mice we used were male and relatively young; aging is a significant factor for AF as well as heterogeneity of the refractoriness. These properties may have been missing in our TAC and Ang II models despite the increased atrial fibrosis.

Due to the difficulty in validating an inducible AF model in our laboratory, we evaluated Cardiac-LKB1 KO mice, which were reported to have spontaneous AF featuring many similar pathologies to human AF [2325]. The LKB1-AMPK pathway is involved in the remodeling pathway for ion channels, fibrosis and apoptosis [38]. Consistent with this, we observed increased atrial volume, severe atrial fibrosis and an irregular RR interval without P waves on ECGs. We also observed changes in atrial fibrosis-related genes such as decreased TGFβ1 and increased collagen in Cardiac-LKB1 KO mouse atria, the net effects of which may contribute to the observed atrial fibrosis. However, in contrast to the expected result of a bona fide AF- phenotype, we did not detect any atrial fibrillation using either intra-atrial EGs or optical mapping. Atria in Cardiac-LKB1 KO mice were non-excitable even in the setting of exogenous electrical stimulations, and so we could not measure the atrial effective refractory period. The only atrial excitation observed were irregular, focal excitations at the SAN area, which did not convey through the whole atria. These isolated excitations seemed to contribute to the random intra-atrial EG signals. Therefore, although the Cardiac-LKB1 KO surface ECG phenotype is superficially reminiscent of typical AF, the mice actually have atrial standstill and/or myopathy. The ECG pattern observed was actually an escape rhythm. This may explain the high prevalence of thrombi deposition in LAA. The severely reduced expression of SCN5a and CX40 likely contribute to this non-excitable phenotype and extreme electrical remodeling. SCN5a normally initiates the atrial action potential. CX40 is known to be expressed only in atria, controlling conduction across atrial myocytes, and CX40 mutations are associated with AF [3945]. Due to atrial standstill, Cardiac-LKB1 KO mice do not have the booster pump function of the left atrium, which may contribute to the increased IVRT [46]. Our Cardiac-LKB1 KO data suggest that a very careful phenotypic analysis is required to understand excitability defects in spontaneous murine AF models. ECGs, by themselves are not sufficient for this purpose. Rather than an AF model, the Cardiac-LKB1 KO model may represent an advanced atrial remodeling or myopathy model. Interestingly, heterozygous Cardiac-LKB1 KO mice did not reveal any phenotypes shown in homozygous Cardiac-LKB1 KO mice. The heterozygous mice should have some substrates for atrial pathology. Therefore, combination of Ang II or TAC with heterozygous Cardiac LKB1 mice may show AF vulnerability. This may be an interesting area for future research.

The hearts of mice, large animals and human have many similarities and differences in terms of structure, electrophysiology and size [47]. Reentrant circuits to sustain AF were confirmed in human [48, 49]. Large animals are usually taken as the “gold standard” AF models. For example, in dog atria, acute GIRK activation followed by burst pacing induced micro-reentrant circuits with dispersed dominant frequency [5052]. In contrast, rodent models of AF have been arguably less reliable. For example, De Jong et al. [53] reported that TAC-treated mice were not a suitable AF model, possibly due to insufficient substrates for AF. One of the long-standing hypothesis for lack of sustained reentry in mouse atria is insufficient critical mass of the mouse hearts [54]. Garrey [55] hypothesized almost 100 years ago that a certain size of myocardial tissue was required to sustain reentrant arrhythmias. Although Vaidya et al. [56] and this work showed reentry or spiral wave in mouse ventricles with a cycle length of about 35 ms and ~2 mm radius, mouse atria are considerably smaller than ventricles. In addition, transmural persistent reentry is one of the drivers for AF in humans [57]. Mouse atria are thin tissues that may not support transmural reentry. These size limitations may minimize occurrence of reentrant circuits unless extremely short cycle length and radius of reentry, which has gone undetected, is occurred in mouse atria. Indeed, others have reported reentrant type AF in mice using optical mapping imaging techniques similar to those employed in this study [19, 36, 5860]. One such model employed a sodium channel mutant [19]. In the model, increased fibrosis is reported in the atria. This could be a substrate for the reentrant circuit or spiral wave activity for arrhythmia in mouse atria. Therefore, atrial tachyarrhythmia and reentry patterns could be totally different from model to model.

In this study, we looked at four commonly used murine AF models, and were unable to recapitulate an AF phenotype that resembles human AF. The data shown in this study should not be taken to suggest that no murine model is capable of generating a pathology or phenotype similar to human AF. Rather, we suggest that careful examination, including use of atrial EGs and optical mapping, is required to fully understand the pathology or phenotype.

Supporting information

S1 Fig. The Cardiac-LKB1 KO heart with ventricular fibrillation.

Phase maps of the ventricular having ventricular fibrillation (VF). ~30 Hz of spiral wave was observed. VF was established by several attempts of right ventricular 100 Hz burst pacing stimulations for 5 sec.

https://doi.org/10.1371/journal.pone.0256512.s001

(TIF)

S2 Fig. Heart profiling and burst pacing induced tachyarrhythmias in AAC mice.

A: Heart weight / body weight ratio in sham (n = 8) and AAC (n = 16) mice at 5 weeks after surgery. B: Right atrial effective refractory period (ERP) in sham and AAC mice. Each point indicates individual animal data, and lines represent mean ± SEM. C: % of positive atrial tachyarrhythmias from total burst pacing stimulations in each group. D: Cumulative tachyarrhythmia time in each animal. Each point indicates individual animal data, and lines represent median ± IQR.

https://doi.org/10.1371/journal.pone.0256512.s002

(TIF)

S3 Fig. Representative ECG and RA EG.

Burst pacing induced tachyarrhythmias in Cardiac-LKB1 heterozygous KO mice. A: Control mouse shows sinus rhythm, clear P wave and corresponding RA (RA) signal on RA EG. B: Cardiac-LKB1 heterozygous KO mouse also shows sinus rhythm. C: % of positive atrial tachyarrhythmias from total burst pacing stimulations in each group. D: Cumulative tachyarrhythmia time in each animal. Each point indicates individual animal data, and lines represent median ± IQR.

https://doi.org/10.1371/journal.pone.0256512.s003

(TIF)

S1 Movie. Representative video of LA tachyarrhythmia in CCh + burst pacing isolated heart.

High frequent normal excitations are detected during tachyarrhythmia.

https://doi.org/10.1371/journal.pone.0256512.s004

(AVI)

S2 Movie. Representative video of LA tachyarrhythmia in CCh + burst pacing isolated heart.

High frequent and normal excitations after burst pacing. Video were from another heart to S1 Movie.

https://doi.org/10.1371/journal.pone.0256512.s005

(AVI)

S3 Movie. Representative video of perfused control mouse heart.

Heart is sinus rhythm. Left atrium following left ventricle excitations are detected.

https://doi.org/10.1371/journal.pone.0256512.s006

(MP4)

S4 Movie. Representative video of perfused Cardiac-LKB1 KO mouse heart.

Ventricular excitation is detected. While, there are no excitations in either right or left atria. There are focal and independent excitations in RA close to the atrial septum during ventricular excitations.

https://doi.org/10.1371/journal.pone.0256512.s007

(MP4)

S5 Movie. Representative video of perfused Cardiac-LKB1 KO mouse heart.

Ventricular excitation is detected. There are focal and independent excitations in RA close to the atrial septum during ventricular excitations.

https://doi.org/10.1371/journal.pone.0256512.s008

(MP4)

S6 Movie. Representative video of atrial preparation in control mouse.

Excitation is initiated from SAN. The excitation propagates to RAA and LAA.

https://doi.org/10.1371/journal.pone.0256512.s009

(AVI)

S7 Movie. Representative video of atrial preparation in Cardiac-LKB1 KO mouse.

Excitation is limited in SAN area. The excitations do not propagate beyond RA.

https://doi.org/10.1371/journal.pone.0256512.s010

(AVI)

S8 Movie. Representative video of atrial preparation in Cardiac-LKB1 KO mouse.

RAA is electrically stimulated. However, pacing excitations are not propagated. Independent SAN excitations are detected.

https://doi.org/10.1371/journal.pone.0256512.s011

(AVI)

S1 Table. Reagents information for qRT-PCR.

Reagents information for mRNA quantifications in the evaluated genes and internal control genes. Since Thermo Fisher Scientific does not disclose primer sequences, assay identification number of each gene are shown.

https://doi.org/10.1371/journal.pone.0256512.s012

(DOCX)

Acknowledgments

Authors thank Lauren Janes and John Halupowski for their contributions to maintain and provide Cardiac-LKB1 KO mice.

References

  1. 1. Rahman F, Kwan GF, Benjamin EJ. Global epidemiology of atrial fibrillation. Nature reviews Cardiology. 2014;11(11):639–54. Epub 2014/08/13. pmid:25113750.
  2. 2. Dilaveris PE, Kennedy HL. Silent atrial fibrillation: epidemiology, diagnosis, and clinical impact. Clinical cardiology. 2017;40(6):413–8. Epub 2017/03/09. pmid:28273368; PubMed Central PMCID: PMC6490532.
  3. 3. Kirchhof P, Benussi S, Kotecha D, Ahlsson A, Atar D, Casadei B, et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Europace. 2016;18(11):1609–78. Epub 2016/11/04. pmid:27567465.
  4. 4. Nishida K, Michael G, Dobrev D, Nattel S. Animal models for atrial fibrillation: clinical insights and scientific opportunities. Europace. 2010;12(2):160–72. pmid:19875395.
  5. 5. Wakimoto H, Maguire CT, Kovoor P, Hammer PE, Gehrmann J, Triedman JK, et al. Induction of atrial tachycardia and fibrillation in the mouse heart. Cardiovascular research. 2001;50(3):463–73. Epub 2001/05/30. pmid:11376622.
  6. 6. Kovoor P, Wickman K, Maguire CT, Pu W, Gehrmann J, Berul CI, et al. Evaluation of the role of I(KACh) in atrial fibrillation using a mouse knockout model. J Am Coll Cardiol. 2001;37(8):2136–43. Epub 2001/06/23. pmid:11419900.
  7. 7. Rudolph V, Andrie RP, Rudolph TK, Friedrichs K, Klinke A, Hirsch-Hoffmann B, et al. Myeloperoxidase acts as a profibrotic mediator of atrial fibrillation. Nat Med. 2010;16(4):470–4. Epub 2010/03/23. pmid:20305660; PubMed Central PMCID: PMC2880896.
  8. 8. Yagi S, Akaike M, Aihara K, Ishikawa K, Iwase T, Ikeda Y, et al. Endothelial nitric oxide synthase-independent protective action of statin against angiotensin II-induced atrial remodeling via reduced oxidant injury. Hypertension (Dallas, Tex: 1979). 2010;55(4):918–23. Epub 2010/03/03. pmid:20194307.
  9. 9. Fukui A, Takahashi N, Nakada C, Masaki T, Kume O, Shinohara T, et al. Role of leptin signaling in the pathogenesis of angiotensin II-mediated atrial fibrosis and fibrillation. Circ Arrhythm Electrophysiol. 2013;6(2):402–9. Epub 2013/02/15. pmid:23406575.
  10. 10. Jansen HJ, Mackasey M, Moghtadaei M, Belke DD, Egom EE, Tuomi JM, et al. Distinct patterns of atrial electrical and structural remodeling in angiotensin II mediated atrial fibrillation. J Mol Cell Cardiol. 2018;124:12–25. Epub 2018/10/03. pmid:30273558.
  11. 11. Kondo H, Abe I, Fukui A, Saito S, Miyoshi M, Aoki K, et al. Possible role of rivaroxaban in attenuating pressure-overload-induced atrial fibrosis and fibrillation. J Cardiol. 2018;71(3):310–9. pmid:28993090.
  12. 12. Matsushita N, Ishida N, Ibi M, Saito M, Takahashi M, Taniguchi S, et al. IL-1beta Plays an Important Role in Pressure Overload-Induced Atrial Fibrillation in Mice. Biological & pharmaceutical bulletin. 2019;42(4):543–6. Epub 2019/04/02. pmid:30930414.
  13. 13. Rahmutula D, Zhang H, Wilson EE, Olgin JE. Absence of natriuretic peptide clearance receptor attenuates TGF-beta1-induced selective atrial fibrosis and atrial fibrillation. Cardiovascular research. 2019;115(2):357–72. pmid:30239604.
  14. 14. Zhang Y, Qi Y, Li JJ, He WJ, Gao XH, Zhang Y, et al. Stretch-induced sarcoplasmic reticulum calcium leak is causatively associated with atrial fibrillation in pressure-overloaded hearts. Cardiovascular research. 2021;117(4):1091–102. Epub 2020/06/13. pmid:32531044.
  15. 15. Tao Y, Zhang M, Li L, Bai Y, Zhou Y, Moon AM, et al. Pitx2, an atrial fibrillation predisposition gene, directly regulates ion transport and intercalated disc genes. Circ Cardiovasc Genet. 2014;7(1):23–32. pmid:24395921; PubMed Central PMCID: PMC4013500.
  16. 16. Pan Z, Ai T, Chang PC, Liu Y, Liu J, Maruyama M, et al. Atrial fibrillation and electrophysiology in transgenic mice with cardiac-restricted overexpression of FKBP12. Am J Physiol Heart Circ Physiol. 2019;316(2):H371–H9. pmid:30499712; PubMed Central PMCID: PMC6397388.
  17. 17. Kirchhof P, Marijon E, Fabritz L, Li N, Wang W, Wang T, et al. Overexpression of cAMP-response element modulator causes abnormal growth and development of the atrial myocardium resulting in a substrate for sustained atrial fibrillation in mice. Int J Cardiol. 2013;166(2):366–74. pmid:22093963.
  18. 18. Nadadur RD, Broman MT, Boukens B, Mazurek SR, Yang X, van den Boogaard M, et al. Pitx2 modulates a Tbx5-dependent gene regulatory network to maintain atrial rhythm. Sci Transl Med. 2016;8(354):354ra115. pmid:27582060; PubMed Central PMCID: PMC5266594.
  19. 19. Wan E, Abrams J, Weinberg RL, Katchman AN, Bayne J, Zakharov SI, et al. Aberrant sodium influx causes cardiomyopathy and atrial fibrillation in mice. J Clin Invest. 2016;126(1):112–22. Epub 2015/11/26. pmid:26595809; PubMed Central PMCID: PMC4701549.
  20. 20. Riley G, Syeda F, Kirchhof P, Fabritz L. An introduction to murine models of atrial fibrillation. Frontiers in physiology. 2012;3:296. Epub 2012/08/31. pmid:22934047; PubMed Central PMCID: PMC3429067.
  21. 21. Feng Y, Zhang Y, Xiao H. AMPK and cardiac remodelling. Science China Life sciences. 2018;61(1):14–23. Epub 2017/11/25. pmid:29170891.
  22. 22. Daskalopoulos EP, Dufeys C, Bertrand L, Beauloye C, Horman S. AMPK in cardiac fibrosis and repair: Actions beyond metabolic regulation. J Mol Cell Cardiol. 2016;91:188–200. Epub 2016/01/17. pmid:26772531.
  23. 23. Ikeda Y, Sato K, Pimentel DR, Sam F, Shaw RJ, Dyck JR, et al. Cardiac-specific deletion of LKB1 leads to hypertrophy and dysfunction. J Biol Chem. 2009;284(51):35839–49. Epub 2009/10/16. pmid:19828446; PubMed Central PMCID: PMC2791013.
  24. 24. Kim GE, Ross JL, Xie C, Su KN, Zaha VG, Wu X, et al. LKB1 deletion causes early changes in atrial channel expression and electrophysiology prior to atrial fibrillation. Cardiovascular research. 2015;108(1):197–208. Epub 2015/09/18. pmid:26378152; PubMed Central PMCID: PMC4571838.
  25. 25. Ozcan C, Battaglia E, Young R, Suzuki G. LKB1 knockout mouse develops spontaneous atrial fibrillation and provides mechanistic insights into human disease process. J Am Heart Assoc. 2015;4(3):e001733. Epub 2015/03/17. pmid:25773299; PubMed Central PMCID: PMC4392447.
  26. 26. Waks JW, Josephson ME. Mechanisms of Atrial Fibrillation—Reentry, Rotors and Reality. Arrhythm Electrophysiol Rev. 2014;3(2):90–100. Epub 2014/08/01. pmid:26835073; PubMed Central PMCID: PMC4711504.
  27. 27. Nakada D, Saunders TL, Morrison SJ. Lkb1 regulates cell cycle and energy metabolism in haematopoietic stem cells. Nature. 2010;468(7324):653–8. Epub 2010/12/03. pmid:21124450; PubMed Central PMCID: PMC3059717.
  28. 28. Li J, Wang S, Zhang YL, Bai J, Lin QY, Liu RS, et al. Immunoproteasome Subunit β5i Promotes Ang II (Angiotensin II)-Induced Atrial Fibrillation by Targeting ATRAP (Ang II Type I Receptor-Associated Protein) Degradation in Mice. Hypertension (Dallas, Tex: 1979). 2019;73(1):92–101. Epub 2018/12/21. pmid:30571551.
  29. 29. Liu Y, Lv H, Tan R, An X, Niu XH, Liu YJ, et al. Platelets Promote Ang II (Angiotensin II)-Induced Atrial Fibrillation by Releasing TGF-β1 (Transforming Growth Factor-β1) and Interacting With Fibroblasts. Hypertension (Dallas, Tex: 1979). 2020;76(6):1856–67. Epub 2020/11/12. pmid:33175633.
  30. 30. Voigt N, Abu-Taha I, Heijman J, Dobrev D. Constitutive activity of the acetylcholine-activated potassium current IK,ACh in cardiomyocytes. Advances in pharmacology (San Diego, Calif). 2014;70:393–409. Epub 2014/06/17. pmid:24931203.
  31. 31. Anderson A, Kulkarni K, Marron Fernandez de Velasco E, Carlblom N, Xia Z, Nakano A, et al. Expression and relevance of the G protein-gated K(+) channel in the mouse ventricle. Sci Rep. 2018;8(1):1192. Epub 2018/01/21. pmid:29352184; PubMed Central PMCID: PMC5775354.
  32. 32. Walsh KB. Targeting GIRK Channels for the Development of New Therapeutic Agents. Front Pharmacol. 2011;2:64. Epub 2011/11/08. pmid:22059075; PubMed Central PMCID: PMC3204421.
  33. 33. Waldo AL. Mechanisms of atrial flutter and atrial fibrillation: distinct entities or two sides of a coin? Cardiovascular research. 2002;54(2):217–29.
  34. 34. Banville I, Gray RA, Ideker RE, Smith WM. Shock-induced figure-of-eight reentry in the isolated rabbit heart. Circ Res. 1999;85(8):742–52. Epub 1999/11/30. pmid:10576949.
  35. 35. O’Shea C, Kabir SN, Holmes AP, Lei M, Fabritz L, Rajpoot K, et al. Cardiac optical mapping—State-of-the-art and future challenges. Int J Biochem Cell Biol. 2020;126:105804. Epub 2020/07/19. pmid:32681973; PubMed Central PMCID: PMC7456775.
  36. 36. Choi EK, Chang PC, Lee YS, Lin SF, Zhu W, Maruyama M, et al. Triggered firing and atrial fibrillation in transgenic mice with selective atrial fibrosis induced by overexpression of TGF-beta1. Circ J. 2012;76(6):1354–62. Epub 2012/03/27. pmid:22447020; PubMed Central PMCID: PMC3593311.
  37. 37. Pandit SV, Jalife J. Rotors and the dynamics of cardiac fibrillation. Circ Res. 2013;112(5):849–62. Epub 2013/03/02. pmid:23449547; PubMed Central PMCID: PMC3650644.
  38. 38. Horman S, Beauloye C, Vanoverschelde JL, Bertrand L. AMP-activated protein kinase in the control of cardiac metabolism and remodeling. Current heart failure reports. 2012;9(3):164–73. Epub 2012/07/07. pmid:22767403.
  39. 39. Verheule S, Kaese S. Connexin diversity in the heart: insights from transgenic mouse models. Front Pharmacol. 2013;4:81. Epub 2013/07/03. pmid:23818881; PubMed Central PMCID: PMC3694209.
  40. 40. Sun Y, Tong X, Chen H, Huang T, Shao Q, Huang W, et al. An atrial-fibrillation-linked connexin40 mutant is retained in the endoplasmic reticulum and impairs the function of atrial gap-junction channels. Disease models & mechanisms. 2014;7(5):561–9. Epub 2014/03/15. pmid:24626989; PubMed Central PMCID: PMC4007407.
  41. 41. Santa Cruz A, Meşe G, Valiuniene L, Brink PR, White TW, Valiunas V. Altered conductance and permeability of Cx40 mutations associated with atrial fibrillation. The Journal of general physiology. 2015;146(5):387–98. Epub 2015/10/28. pmid:26503720; PubMed Central PMCID: PMC4621748.
  42. 42. Patel D, Gemel J, Xu Q, Simon AR, Lin X, Matiukas A, et al. Atrial fibrillation-associated connexin40 mutants make hemichannels and synergistically form gap junction channels with novel properties. FEBS letters. 2014;588(8):1458–64. Epub 2014/01/25. pmid:24457199; PubMed Central PMCID: PMC3989446.
  43. 43. Lübkemeier I, Andrié R, Lickfett L, Bosen F, Stöckigt F, Dobrowolski R, et al. The Connexin40A96S mutation from a patient with atrial fibrillation causes decreased atrial conduction velocities and sustained episodes of induced atrial fibrillation in mice. J Mol Cell Cardiol. 2013;65:19–32. Epub 2013/09/26. pmid:24060583.
  44. 44. Kanthan A, Fahmy P, Rao R, Pouliopoulos J, Alexander IE, Thomas SP, et al. Human Connexin40 Mutations Slow Conduction and Increase Propensity for Atrial Fibrillation. Heart, lung & circulation. 2018;27(1):114–21. Epub 2017/05/02. pmid:28457700.
  45. 45. Gemel J, Simon AR, Patel D, Xu Q, Matiukas A, Veenstra RD, et al. Degradation of a connexin40 mutant linked to atrial fibrillation is accelerated. J Mol Cell Cardiol. 2014;74:330–9. Epub 2014/06/29. pmid:24973497; PubMed Central PMCID: PMC4135452.
  46. 46. Yamano M, Yamano T, Iwamura Y, Nakamura T, Shiraishi H, Shirayama T, et al. Impact of Left Ventricular Diastolic Property on Left Atrial Function from Simultaneous Left Atrial and Ventricular Three-Dimensional Echocardiographic Volume Measurement. Am J Cardiol. 2017;119(10):1687–93. Epub 2017/04/02. pmid:28363352.
  47. 47. Kaese S, Verheule S. Cardiac electrophysiology in mice: a matter of size. Frontiers in physiology. 2012;3:345. Epub 2012/09/14. pmid:22973235; PubMed Central PMCID: PMC3433738.
  48. 48. Narayan SM, Krummen DE, Shivkumar K, Clopton P, Rappel WJ, Miller JM. Treatment of atrial fibrillation by the ablation of localized sources: CONFIRM (Conventional Ablation for Atrial Fibrillation With or Without Focal Impulse and Rotor Modulation) trial. J Am Coll Cardiol. 2012;60(7):628–36. Epub 2012/07/24. pmid:22818076; PubMed Central PMCID: PMC3416917.
  49. 49. Hansen BJ, Zhao J, Li N, Zolotarev A, Zakharkin S, Wang Y, et al. Human Atrial Fibrillation Drivers Resolved With Integrated Functional and Structural Imaging to Benefit Clinical Mapping. JACC Clinical electrophysiology. 2018;4(12):1501–15. Epub 2018/12/24. pmid:30573112; PubMed Central PMCID: PMC6323649.
  50. 50. Everett THt Wilson EE, Verheule S Guerra JM, Foreman S Olgin JE. Structural atrial remodeling alters the substrate and spatiotemporal organization of atrial fibrillation: a comparison in canine models of structural and electrical atrial remodeling. Am J Physiol Heart Circ Physiol. 2006;291(6):H2911–23. Epub 2006/08/01. pmid:16877548; PubMed Central PMCID: PMC2062526.
  51. 51. Kneller J, Zou R, Vigmond EJ, Wang Z, Leon LJ, Nattel S. Cholinergic atrial fibrillation in a computer model of a two-dimensional sheet of canine atrial cells with realistic ionic properties. Circ Res. 2002;90(9):E73–87. Epub 2002/05/23. pmid:12016272.
  52. 52. Schuessler RB, Grayson TM, Bromberg BI, Cox JL, Boineau JP. Cholinergically mediated tachyarrhythmias induced by a single extrastimulus in the isolated canine right atrium. Circ Res. 1992;71(5):1254–67. Epub 1992/11/01. pmid:1394883
  53. 53. De Jong AM, Van Gelder IC, Vreeswijk-Baudoin I, Cannon MV, Van Gilst WH, Maass AH. Atrial remodeling is directly related to end-diastolic left ventricular pressure in a mouse model of ventricular pressure overload. PLoS One. 2013;8(9):e72651. Epub 2013/09/17. pmid:24039788; PubMed Central PMCID: PMC3765172.
  54. 54. Janse MJ, Rosen MR. History of arrhythmias. Handb Exp Pharmacol. 2006;(171):1–39. Epub 2006/04/14. pmid:16610339.
  55. 55. Garrey WE. AURICULAR FIBRILLATION. Physiological Reviews. 1924;4(2):215–50.
  56. 56. Vaidya D, Morley GE, Samie FH, Jalife J. Reentry and fibrillation in the mouse heart. A challenge to the critical mass hypothesis. Circ Res. 1999;85(2):174–81. Epub 1999/07/27. pmid:10417399.
  57. 57. Hansen BJ, Zhao J, Csepe TA, Moore BT, Li N, Jayne LA, et al. Atrial fibrillation driven by micro-anatomic intramural re-entry revealed by simultaneous sub-epicardial and sub-endocardial optical mapping in explanted human hearts. Eur Heart J. 2015;36(35):2390–401. Epub 2015/06/11. pmid:26059724; PubMed Central PMCID: PMC4568403.
  58. 58. Ihara K, Sugiyama K, Takahashi K, Yamazoe M, Sasano T, Furukawa T. Electrophysiological Assessment of Murine Atria with High-Resolution Optical Mapping. J Vis Exp. 2018;(132). Epub 2018/03/20. pmid:29553490; PubMed Central PMCID: PMC5931326.
  59. 59. Bao Y, Willis BC, Frasier CR, Lopez-Santiago LF, Lin X, Ramos-Mondragon R, et al. Scn2b Deletion in Mice Results in Ventricular and Atrial Arrhythmias. Circ Arrhythm Electrophysiol. 2016;9(12). Epub 2016/12/10. pmid:27932425; PubMed Central PMCID: PMC5161227.
  60. 60. Horii S, Yada H, Ito K, Tsujita K, Osaki A, Kagami K, et al. Artificially Created Reentry Circuit by Laser Irradiation Causes Atrial Tachycardia to Persist in Murine Atria. Circ J. 2021. Epub 2021/09/22. pmid:34544960.