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Amendment history:
  • Corrigendum (July 2024)

Research ArticleCardiologyImmunology Open Access | 10.1172/JCI172014

NFĸB signaling drives myocardial injury via CCR2+ macrophages in a preclinical model of arrhythmogenic cardiomyopathy

Stephen P. Chelko,1,2 Vinay R. Penna,3 Morgan Engel,1 Emily A. Shiel,1 Ann M. Centner,1 Waleed Farra,1 Elisa N. Cannon,1 Maicon Landim-Vieira,1 Niccole Schaible,4 Kory Lavine,3 and Jeffrey E. Saffitz4

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Chelko, S. in: JCI | PubMed | Google Scholar |

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Penna, V. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Engel, M. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Shiel, E. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Centner, A. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Farra, W. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Cannon, E. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Landim-Vieira, M. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Schaible, N. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Lavine, K. in: JCI | PubMed | Google Scholar

1Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida, USA.

2Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

3Department of Medicine, Washington University, St. Louis, Missouri, USA.

4Departments of Pathology and Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Find articles by Saffitz, J. in: JCI | PubMed | Google Scholar

Authorship note: KL and JES are co–senior authors. SPC and VRP are co–first authors.

Published April 2, 2024 - More info

Published in Volume 134, Issue 10 on May 15, 2024
J Clin Invest. 2024;134(10):e172014. https://doi.org/10.1172/JCI172014.
© 2024 Chelko et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published April 2, 2024 - Version history
Received: May 3, 2023; Accepted: March 20, 2024
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Related article:

Targeting arrhythmogenic macrophages: lessons learned from arrhythmogenic cardiomyopathy
Thassio Mesquita, Eugenio Cingolani
Thassio Mesquita, Eugenio Cingolani
Commentary

Targeting arrhythmogenic macrophages: lessons learned from arrhythmogenic cardiomyopathy

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Abstract

Arrhythmogenic cardiomyopathy (ACM) is an inherited cardiac condition characterized by cardiac remodeling and life-threatening ventricular arrhythmias. In this issue of the JCI, Chelko, Penna, and colleagues mechanistically addressed the intricate contribution of immune-mediated injury in ACM pathogenesis. Inhibition of nuclear factor κ-B (NF-κB) and infiltration of monocyte-derived macrophages expressing C-C motif chemokine receptor-2 (CCR2) alleviated the phenotypic ACM features (i.e., fibrofatty replacement, contractile dysfunction, and ventricular arrhythmias) in desmoglein 2–mutant (Dsg2mut/mut) mice. These findings pave the way for efficacious and targetable immune therapy for patients with ACM.

Authors

Thassio Mesquita, Eugenio Cingolani

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Abstract

Nuclear factor κ-B (NFκB) is activated in iPSC-cardiac myocytes from patients with arrhythmogenic cardiomyopathy (ACM) under basal conditions, and inhibition of NFκB signaling prevents disease in Dsg2mut/mut mice, a robust mouse model of ACM. Here, we used genetic approaches and single-cell RNA-Seq to define the contributions of immune signaling in cardiac myocytes and macrophages in the natural progression of ACM using Dsg2mut/mut mice. We found that NFκB signaling in cardiac myocytes drives myocardial injury, contractile dysfunction, and arrhythmias in Dsg2mut/mut mice. NFκB signaling in cardiac myocytes mobilizes macrophages expressing C-C motif chemokine receptor-2 (CCR2+ cells) to affected areas within the heart, where they mediate myocardial injury and arrhythmias. Contractile dysfunction in Dsg2mut/mut mice is caused both by loss of heart muscle and negative inotropic effects of inflammation in viable muscle. Single nucleus RNA-Seq and cellular indexing of transcriptomes and epitomes (CITE-Seq) studies revealed marked proinflammatory changes in gene expression and the cellular landscape in hearts of Dsg2mut/mut mice involving cardiac myocytes, fibroblasts, and CCR2+ macrophages. Changes in gene expression in cardiac myocytes and fibroblasts in Dsg2mut/mut mice were dependent on CCR2+ macrophage recruitment to the heart. These results highlight complex mechanisms of immune injury and regulatory crosstalk between cardiac myocytes, inflammatory cells, and fibroblasts in the pathogenesis of ACM.

Introduction

Arrhythmogenic cardiomyopathy (ACM) is a familial heart muscle disease characterized by the early onset of arrhythmias and increased risk of sudden death followed by progressive myocardial injury ultimately leading to heart failure (1–3). Growing evidence implicates inflammation in the pathogenesis of ACM, but mechanisms of immune-mediated injury are not well understood. Inflammation in ACM has usually been considered in the context of inflammatory cell infiltrates in the heart, which occur frequently and can be extensive (3–5). However, although infiltrating inflammatory cells likely contribute to the pathogenesis of ACM (3, 5), no previous studies have validated this conclusion, nor have mechanisms of immune cell–mediated myocardial injury been elucidated. We have reported that signaling mediated via NFκB, a master regulator of the innate immune response (6), is activated in a mouse model of ACM involving homozygous knock-in of a variant in the gene encoding the desmosomal protein, desmoglein-2 (Dsg2mut/mut mice) (6–8). These mice exhibit clinically relevant features seen in ACM patients, including myocardial injury (cardiac myocyte degeneration and replacement by fibrosis), contractile dysfunction, action potential remodeling, and ECG changes, ventricular arrhythmias, and inflammation (6–8). Bay 11-7082, a small molecule that inhibits NFκB signaling by blocking degradation of the inhibitor of κ-B-α (IκBα) (9), arrests disease expression and prevents myocardial injury, contractile dysfunction, and ECG abnormalities in Dsg2mut/mut mice (6). NFκB signaling is also activated under basal conditions in vitro in iPSC-cardiac myocytes derived from patients with ACM with pathogenic variants in plakophilin-2 (PKP2) (6) or desmoglein-2 (DSG2) (6, 10). These cells produce large amounts of proinflammatory mediators under the control of NFκB without provocation and in the absence of inflammatory cells (6, 10). The facts that iPSC-cardiac myocytes from patients with ACM mount an innate immune response and that inhibition of NFκB prevents development of disease in Dsg2mut/mut mice raise a question about the relative pathogenic roles of immune signaling in cardiac myocytes versus infiltrating inflammatory cells. Here, we answered this question using a genetic approach. To define the role of immune signaling in cardiac myocytes in ACM, we crossed Dsg2mut/mut mice with a mouse line with cardiac myocyte–specific overexpression of a dominant-negative form of IκBα (IκBαΔN) (11), which prevents nuclear translocation of NFκB and, thereby, activation of NFκB-mediated changes in gene expression. The resulting double-mutant mice (Dsg2mut/mut × IκBαΔN) express the Dsg2 pathogenic variant and can activate NFκB signaling in all cell types except cardiac myocytes. Then, to define the pathogenic role of inflammatory cells in ACM, we focused on cells expressing C-C motif chemokine receptor-2 (CCR2), a G-protein coupled receptor for a monocyte chemoattractant family that includes monocyte chemoattractant protein-1 (MCP-1, aka CCL2). Monocytes and macrophages expressing CCR2 have been implicated in adverse cardiac remodeling and fibrosis (12, 13). Moreover, MCP-1 expression is increased in hearts of Dsg2mut/mut mice and in iPSC-cardiac myocytes from patients with ACM (6). Thus, to define the pathogenic role of CCR2+ cells in ACM, we crossed Dsg2mut/mut mice with a mouse line with germline deletion of Ccr2 (Ccr2–/– mice) to produce double-mutant Dsg2mut/mut × Ccr2–/– mice. Ccr2–/– mice are fertile and have no apparent phenotype under basal conditions, but monocyte/macrophage mobilization in response to immune-activating agents is impaired and macrophages fail to respond to CCL2 (14).

By comparing phenotypes in Dsg2mut/mut mice with double-mutant mouse lines (Dsg2mut/mut × IκBαΔN and Dsg2mut/mut × Ccr2–/–) and analyzing single-cell RNA-Seq data, we observed that activation of NFκB signaling in cardiac myocytes is a major driver of disease in ACM. Myocardial injury and arrhythmias are mediated, at least in part, by CCR2+ macrophages mobilized to areas of myocardial injury and cardiac myocyte death. Additionally, CCR2+ macrophages regulate the transcriptional state of cardiac myocytes and fibroblasts in Dsg2mut/mut mice. These results highlight the complex crosstalk between cardiac myocytes, CCR2+ macrophages, and fibroblasts in immune injury in ACM.

Results

NFκB signaling in cardiac myocytes mobilizes CCR2+ macrophages to the heart and leads to myocardial injury, contractile dysfunction, and arrhythmias in Dsg2mut/mut mice. To examine the immune landscape of ACM, we performed flow cytometry on WT and Dsg2mut/mut hearts at 2, 4, 6, 10, and 16 weeks of age. We observed an accumulation of monocytes as early as 4 weeks of age and increased CCR2+ macrophages at 4, 6, 10, and 16 weeks of age in Dsg2mut/mut hearts. Neutrophils were also increased at early time points. T cells were reduced at 2 weeks of age, while CCR2– cardiac resident macrophages were found to be reduced at 4, 6, 10, and 16 weeks of age. B cells were largely unchanged (Supplemental Figures 1 and 2; supplemental material available online with this article; https://doi.org/10.1172/JCI172014DS1).

To delineate whether NFκB signaling in cardiac myocytes drives innate immune responses in ACM, we focused on monocytes/macrophages and performed CD68 immunostaining and Ccr2 RNA in situ hybridization on hearts obtained from 16-week-old WT, Dsg2mut/mut, and Dsg2mut/mut mice crossed with a mouse line expressing a cardiac-specific, dominant-negative form of the inhibitor of κBα (IκBαΔN) (11). Therefore, these double mutant mice (i.e., Dsg2mut/mut × IκBαΔN) express an ACM disease allele and a IκBαΔN isoform that is nonphosphorylatable at Ser32/36 and, thus, retains inactivated-NFĸB within the cytoplasm of cardiac myocytes (15, 16). Areas of myocardial injury and cardiac myocyte death were identified by Evan’s blue staining, as previously described (17). We observed an accumulation of macrophages expressing Ccr2 adjacent to areas of myocardial injury in Dsg2mut/mut hearts. The abundance of these macrophages and extent of myocardial injury was markedly attenuated in Dsg2mut/mut × IκBαΔN hearts, indicating that cardiac myocyte NFκB signaling is a major determinant of monocyte-derived macrophage recruitment, myocardial injury, and cardiac myocyte death (Figure 1). Previous work has demonstrated that cardiac myocyte death is an important trigger for monocyte infiltration and CCR2+ macrophage activation, presumably through release of DAMPs and alarmins (18, 19). Consistent with this concept, we previously demonstrated extracellular localization of high mobility group box-1 (HMGB1) in Dsg2mut/mut mice (8). HMGB1 is a nonhistone DNA-binding protein that is associated with necrotic forms of cell death (20); it acts as a damage-associated molecular pattern (DAMP) and initiates local inflammation via activation of macrophages and neutrophils (21).

NFκB signaling in cardiac myocytes mobilizes CCR2+ macrophages to the heartFigure 1

NFκB signaling in cardiac myocytes mobilizes CCR2+ macrophages to the heart. (A) Quantification of Evans Blue+ cardiac myocytes (per ×20) field in 16-week-old WT (n = 7), Dsg2mut/mut (n = 10) and Dsg2mut/mut × IκBαΔN (n = 5) mice. (B) Representative immunostained myocardium showing CD68+ (violet) cells located in close proximity to Evans Blue+ cardiac myocytes (red). Scale bars: 40 μm. (C) Representative RNA in situ hybridization images (RNAscope) showing CCR2+ (green) cells in close proximity to Evans Blue+ cardiac myocytes (red). Scale bars: 40 μm. (D) Representative RNA in situ hybridization images (RNAscope) showing Ccr2+ (red) cells in 16-week-old mice. Scale bars: 40 μm. (E) Quantification of Ccr2+ cells in mice. WT, n = 10 samples; Dsg2mut/mut, n = 9 samples; Dsg2mut/mut × IκBαΔN, n = 10 samples. Data presented as mean ± SEM; P values inset; determined via 1-way ANOVA with Tukey’s post hoc analysis.

To define the role of NFκB in cardiac myocytes and CCR2+ macrophage recruitment in the pathogenesis of ACM, we compared phenotypes of 8- and 16-week-old WT, Dsg2mut/mut, Dsg2mut/mut × IκBαΔN, and Dsg2mut/mut crossed with a mouse line with germline deletion of Ccr2 (22) (i.e., Dsg2mut/mut × Ccr2–/– mice). Deletion of Ccr2 impairs monocyte egress from the bone marrow and spleen and recruitment of monocytes to peripheral sites (14, 23). As reported previously (6, 7), 8-week-old Dsg2mut/mut mice display subclinical cardiac dysfunction (Supplemental Table 1 and Supplemental Figure 3), while 16-week-old Dsg2mut/mut mice show considerable myocardial injury, indicated by the presence of extensive fibrosis, which had replaced areas of degenerated cardiac myocytes (8). We observed marked contractile dysfunction with reduced left ventricular ejection fraction, numerous PVCs, and depolarization/repolarization alterations in signal-averaged ECGs (SAECGs) when compared with age-matched WT mice. Conversely, Dsg2mut/mut × IκBαΔN mice displayed improved LV systolic function and reduced fibrosis compared with Dsg2mut/mut mice. Additionally, Dsg2mut/mut × Ccr2–/– mice displayed reduced myocardial fibrosis, yet equivalent cardiac function, compared with Dsg2mut/mut mice (Figure 2 and Table 1). No differences in cardiac function and fibrosis were noted in 8-week-old Dsg2mut/mut mice compared with Dsg2mut/mut × Ccr2–/– and Dsg2mut/mut × IκBαΔN mice (Supplemental Table 1 and Supplemental Figure 3). Both double mutant lines (i.e., Dsg2mut/mut × Ccr2–/–and Dsg2mut/mut × IκBαΔN mice) also displayed a marked reduction in the number of PVCs and less severe alterations in SAECGs compared with Dsg2mut/mut mice (Figure 2). Consistent with diminished arrhythmogenic substrate(s) in Dsg2mut/mut × Ccr2–/– and Dsg2mut/mut × IκBαΔN mice, infusion of dobutamine (a β1-adrenergic agonist) and caffeine at 16 weeks of age resulted in fewer induced arrhythmias compared with Dsg2mut/mut mice (Supplemental Figure 4). These results indicate that activation of NFκB signaling in cardiac myocytes and subsequent CCR2+ macrophage recruitment contribute to progressive myocardial injury, contractile dysfunction, and arrhythmias in Dsg2mut/mut mice.

Blocking activation of NFκB signaling in cardiac myocytes mitigates myocardFigure 2

Blocking activation of NFκB signaling in cardiac myocytes mitigates myocardial injury and arrhythmias and preserves cardiac function in Dsg2mut/mut mice. (A) Representative trichrome-stained hearts from mice at 16 weeks of age (16 wk). Scale bars: 1 mm. (B) Percent (%) fibrosis at 16 wk; WT (n = 18), Dsg2mut/mut (n = 15), Dsg2mut/mut × IκBαΔN (n = 17), and Dsg2mut/mut × Ccr2–/– mice (n = 22). (C) Representative echocardiographs from 16 wk mice; yellow scale bar: 6 mm. (D) Percent left ventricular ejection fraction (%LVEF). Note, preserved cardiac function in Dsg2mut/mut × IκBαΔN mice. WT (n = 49), Dsg2mut/mut (n = 30), Dsg2mut/mut × IκBαΔN (n = 15), and Dsg2mut/mut × Ccr2–/– mice (n = 15). *P < 0.05 any cohort versus WT; †P < 0.05 any cohort versus Dsg2mut/mut; ‡P < 0.05 Dsg2mut/mut × Ccr2–/– versus Dsg2mut/mut × IκBαΔN mice; using 1-way ANOVA with Tukey’s posthoc analysis. (E) Representative ECGs from 16 wk mice. Premature ventricular contractions (PVCs) are noted by red arrows. (F and G) QRS duration (QRSd) and percent PVCs (% PVCs), respectively, obtained from signal averaged ECGs. QRSd: WT (n = 49), Dsg2mut/mut (n = 27), Dsg2mut/mut × IκBαΔN (n = 15), and Dsg2mut/mut × Ccr2–/– mice (n = 14). %PVCs: WT (n = 49), Dsg2mut/mut (n = 30), Dsg2mut/mut × IκBαΔN (n = 15), and Dsg2mut/mut × Ccr2–/– mice (n = 15). Data presented as mean ± SEM; *P < 0.05 any cohort versus WT; †P < 0.05 any cohort versus Dsg2mut/mut; ‡P < 0.05 Dsg2mut/mut × Ccr2–/– versus. Dsg2mut/mut × IκBαΔN mice; using 1-way ANOVA with Tukey’s post hoc analysis.

Table 1

Morphometric, echocardiographic, and electrocardiographic data at 16 weeks of age

To determine if activation of NFκB signaling in cardiac myocytes also affects myocardial inflammatory cells in ACM, we measured numbers of macrophage subsets in hearts of 16-week-old Dsg2mut/mut and Dsg2mut/mut × IκBαΔN mice. We focused on macrophages because they are the most abundant immune cell type in mouse and human hearts (24). The number of CD68+ macrophages was greatly increased in hearts from Dsg2mut/mut mice compared with WT controls. Further, the percentage of total macrophages expressing lymphatic vessel endothelial hyaluronic acid receptor-1 (LYVE-1), a marker of cardiac resident macrophages (25, 26), was substantially diminished in Dsg2mut/mut mice, reflecting a shift in macrophage ontogeny favoring recruited CCR2+ monocyte-derived macrophages (Figure 3). While the total number of myocardial CD68+ macrophages was equivalent in Dsg2mut/mut and Dsg2mut/mut × IκBαΔN mice, macrophage populations in Dsg2mut/mut × IκBαΔN hearts were more reminiscent of those seen in hearts of WT animals. Specifically, Dsg2mut/mut × IκBαΔN mice contained fewer CCR2+ monocyte-derived macrophages and increased numbers of LYVE-1+ macrophages compared with Dsg2mut/mut hearts. Taken together, these results indicate that NFκB signaling in cardiac myocytes leads to accumulation of CCR2+ macrophages and loss of cardiac resident macrophages. Such a shift in cardiac macrophage composition has been associated with enhanced myocardial inflammation and reduced capacity for tissue repair (25). Similar analysis of Dsg2mut/mut × Ccr2–/– mice revealed a slight reduction in CD68+ macrophages compared to Dsg2mut/mut mice, and a restoration of LYVE-1+ macrophage levels compared to those observed in WT animals (Figure 3).

NFκB signaling in cardiac myocytes mobilizes inflammatory cells to the hearFigure 3

NFκB signaling in cardiac myocytes mobilizes inflammatory cells to the heart in Dsg2mut/mut mice. (A) Representative immunostained myocardial sections from 16-week-old (16 wk) mice showing CD68+ (violet) and Lyve1+ (white) cells. DAPI (blue); Scale bars: 40 μm. (B and C) Quantification of CD68+ cells and Lyve1+ cells as a percentage of CD68+ cells in mice. Data presented as mean ± SEM; n = 10 for WT, Dsg2mut/mut × IκBαΔN and Dsg2mut/mut × Ccr2–/– mice and n = 9 for Dsg2mut/mut mice. *P < 0.05 any cohort versus WT; †P < 0.05 any cohort versus Dsg2mut/mut; using 1-way ANOVA with Tukey’s post hoc analysis.

NFκB signaling in cardiac myocytes and CCR2+ cells contributes to the production of inflammatory mediators in Dsg2mut/mut mice. Levels of proinflammatory cytokines and fibrokines are increased in hearts of 16-week-old Dsg2mut/mut mice (6). These mediators are also produced under basal conditions in vitro by cardiac myocytes derived from iPSCs from patients with ACM harboring variants in PKP2 or DSG2 (6, 10). To gain insights into the sources of inflammatory mediators in ACM, we compared cytokine levels in hearts of 8-week-old (Supplemental Table 2) and 16-week-old WT, Dsg2mut/mut and double mutant mice (Supplemental Table 3 and Figure 4). Levels of major cytokines of the innate immune response, including IL-1-β, IL-6, and MCP-1 (CCL2) were increased in hearts of 16-week-old Dsg2mut/mut mice compared with WT mice (complete cytokine expression data for 8- and 16-week-old mice are shown in Supplemental Tables 2 and 3). Nearly all of these inflammatory mediators were at least partially normalized in hearts of either Dsg2mut/mut × IκBαΔN or Dsg2mut/mut × Ccr2–/– mice at 16 weeks of age (Figure 4 and Supplemental Table 3), suggesting that cardiac myocyte NFκB signaling and CCR2+ macrophages both trigger expression of inflammatory mediators in Dsg2mut/mut mice. One exception was osteopontin (OPN; a pleiotropic and extracellular matrices protein), which was greatly increased in hearts of Dsg2mut/mut (6–8 fold) and both double mutant mice (≥ 4 fold) at 8 and 16 weeks of age. Conversely, 16-week-old Dsg2mut/mut × IκBαΔN myocardium showed a stark reduction in OPN levels (1–2 fold), whereas Dsg2mut/mut and Dsg2mut/mut × Ccr2–/– mice maintained these already elevated levels of OPN (≥ 8 fold, Supplemental Table 3 and Figure 4). Of note, the fibrosis marker periostin (PostN) (27, 28) was greatly increased in Dsg2mut/mut hearts, but not in Dsg2mut/mut × IκBαΔN or Dsg2mut/mut × Ccr2–/– hearts at 16 weeks of age, both of which showed considerably reduced amounts of ventricular fibrosis. To gain further insight into the contribution of monocyte recruitment and monocyte-derived CCR2+ macrophages in the pathogenesis of ACM, as well as to identify cell sources of cytokine production, we utilized single cell transcriptomics.

NFκB signaling in cardiac myocytes and actions of CCR2+ cells increase myocFigure 4

NFκB signaling in cardiac myocytes and actions of CCR2+ cells increase myocardial cytokines levels in Dsg2mut/mut mice. (A) Representative immunoblots from myocardial cytokine arrays in WT (n = 6), Dsg2mut/mut (n = 6), Dsg2mut/mut × Ccr2–/– (n = 6), and Dsg2mut/mut × IκBαΔN (n = 5) mice. Ref. Band, Reference Band. (B–G) Bar graphs comparing levels of selected cytokines normalized to WT hearts. Data presented as mean ± SEM; *P < 0.05 any cohort versus WT; †P < 0.05 any cohort versus Dsg2mut/mut; ‡P < 0.05 any cohort versus Dsg2mut/mut × IκBαΔN using 1-way ANOVA with Tukey’s posthoc analysis.

CITE-Seq reveals expansion of CCR2+ inflammatory macrophages in hearts of Dsg2mut/mut mice. To characterize the transcriptional and cell surface proteomic landscape in ACM, we performed cellular indexing of transcriptomes and epitomes–Seq (CITE-Seq) on pooled hearts from 16-week-old WT, Dsg2mut/mut, and Dsg2mut/mut × Ccr2–/– mice (Figure 5A). After preprocessing and application of quality control filters (Supplemental Figure 5) (24, 29), we identified 7 distinct stromal and immune cell types (Figure 5B and Supplemental Figure 5), including fibroblasts, endothelial cells, pericytes/smooth muscle cells, monocytes/macrophages, neutrophils, and T cells. Differential gene expression analysis revealed cell-type specific transcriptional differences across all major cell types in WT versus Dsg2mut/mut and Dsg2mut/mut versus Dsg2mut/mut × Ccr2–/– conditions, which were especially prominent in monocytes/macrophages and fibroblasts (Supplemental Figure 5). Given the robust myocardial inflammation and fibrosis observed in Dsg2mut/mut mice and our differential expression analysis, we focused on monocyte/macrophage and fibroblast populations. Within the monocyte/macrophage cluster, we identified several subpopulations, including LYVE-1+ macrophages, triggering receptor expressed on myeloid cells-2–positive (TREM2+) macrophages, type-1 and -2 conventional dendritic cells, CCR2+ monocytes and macrophages, and lymphocyte antigen 6 family member C (LY6Clo) monocytes (Figure 5C and Supplemental Figure 6). Consistent with our immunostaining and in situ hybridization studies presented above, cell composition and kernel density analysis revealed increased proportions of CCR2+ monocytes and macrophages and decreased LYVE-1+ macrophages in Dsg2mut/mut hearts compared with WT hearts. These populations were restored to WT levels in Dsg2mut/mut × Ccr2–/– hearts (Figure 5, D and E). Differential gene expression analysis between WT versus Dsg2mut/mut monocytes/macrophages revealed profound differences with increased expression of many inflammatory and fibrosis-associated genes (e.g., Plac8, Ly6c2, Ccl6, and Lgals3) (25) and decreased expression of resident macrophage-associated genes (e.g., Cd163, Mrc1, and Folr2) (25, 26) in Dsg2mut/mut hearts. These gene expression changes were normalized in Dsg2mut/mut × Ccr2–/– mice (Figure 5, F and H). Projection of genes differentially expressed by monocytes/macrophages in Dsg2mut/mut hearts within the UMAP space revealed that CCR2+ monocytes and macrophages were the primary source of inflammatory mediators enriched in Dsg2mut/mut hearts (Figure 5G). Pathway enrichment analysis indicated that genes differentially expressed in Dsg2mut/mut monocytes/macrophages were associated with increased innate immune activation and fibroblast proliferation, and the enrichment of these pathways was reduced in Dsg2mut/mut × Ccr2–/– mice (Figure 5I).

CITE-Seq reveals expansion of CCR2+ inflammatory macrophages in hearts of DFigure 5

CITE-Seq reveals expansion of CCR2+ inflammatory macrophages in hearts of Dsg2mut/mut mice. (A) Schematic depicting design of CITE-Seq experiments. Whole hearts from n = 3 mice per condition were homogenized and enzymatically digested. (B) Uniform Manifold Approximation and Projection (UMAP) of 8,775 cells after quality control (QC) and data filtering using standard Seurat pipeline. (C) UMAP reclustering of macrophage/monocyte population. (D) Composition graph showing proportion of different populations within the macrophage/monocyte cluster. (E) Gaussian kernel density estimation of cells within the macrophage/monocyte cluster across the indicated genotypes. (F) Heatmap of top 25 differentially expressed genes in the macrophage/monocyte cluster between WT and Dsg2mut/mut mice with sideby-side comparison of the expression of those same genes from Dsg2mut/mut × Ccr2–/– mice. Example genes are annotated. (G) Z-score feature plot, overlaying an inflammatory gene signature derived from the heatmap in F (genes listed to the side) and displayed on the macrophage/monocyte UMAP projection split by genotype. (H) Graph of Z-score values for inflammatory gene signature derived from heatmap in F compared across genotypes. Data presented as a box-and-whisker plot. The 5 number summary (minimum, 25% IQR, median, 75% IQR, and maximum) as well as total number of values for each group is provided as follows; WT: –0.7688, –0.4471, –0.3135, –0.005451, 1.337, n = 100; Dsg2mut/mut: –0.6884, –0.1186, 0.1394, 0.7270, 1.923, n = 124; Dsg2mut/mut × Ccr2–/–: –0.6941, –0.3559, –0.2186, –0.005207, 1,752, n = 145. P values inset and determined via 1-way ANOVA. (I) Top GO Biological pathways for the top 25 differentially upregulated genes in WT versus. Dsg2mut/mut mice (red) and WT versus Dsg2mut/mut × Ccr2–/– mice (blue) (derived from F).

Postn+ fibroblasts are expanded in Dsg2mut/mut hearts through a CCR2+ monocyte- and macrophage-dependent mechanism. To determine how inhibition of CCR2+ monocyte recruitment affects cardiac fibroblasts in ACM, we further analyzed the fibroblast cluster and identified a number of transcriptionally distinct fibroblast states (Figure 6A and Supplemental Figure 7). Cell composition and kernel density analysis revealed a profound increase in Postn+ fibroblasts and a decrease in Cxcl14+ fibroblasts in Dsg2mut/mut hearts compared with WT hearts (Figure 6B and Supplemental Figure 7). We next performed differential gene expression analysis in WT and Dsg2mut/mut fibroblasts. We identified increased expression of genes associated with fibrosis pathways and fibrotic injury, such as Comp, Cilp, and Fn1 in Dsg2mut/mut fibroblasts (30, 31). These genes were partially restored to WT levels in Dsg2mut/mut × Ccr2–/– mice, suggesting cross-talk between CCR2+ monocytes/macrophages and fibroblasts in the progression of myocardial fibrosis in Dsg2mut/mut mice (Figure 6, C and E). Projection of genes differentially expressed in Dsg2mut/mut fibroblasts in the UMAP space indicated that Postn+ fibroblasts are a major fibroblast subset activated in the context of ACM (Figure 6D). These data are consistent with a known role of Postn+ fibroblasts in fibrosis-associated myocardial infarction and pressure overload (29, 32, 33). Pathway enrichment analysis revealed that genes upregulated in Dsg2mut/mut fibroblasts were associated with extracellular matrix remodeling and fibrogenesis and their enrichment was partially reduced in Dsg2mut/mut × Ccr2–/– hearts (Figure 6E). Consistent with our CITE-Seq analysis, immunostaining showed PostN colocalized with CCR2+ macrophages and was increased in Dsg2mut/mut hearts compared with WT and Dsg2mut/mut × Ccr2–/– hearts (Figure 6, E–I).

PostN+ fibroblasts are expanded in Dsg2mut/mut hearts through a CCR2+ monocFigure 6

PostN+ fibroblasts are expanded in Dsg2mut/mut hearts through a CCR2+ monocyte- and macrophage-dependent mechanism. (A) UMAP re-clustering of fibroblast population. (B) Gaussian kernel density estimation of cells within the fibroblast cluster across the indicated genotypes. (C) Heatmap of top 25 differentially expressed genes in the fibroblast cluster between WT and Dsg2mut/mut mice with sideby-side comparison of the expression of those same genes from Dsg2mut/mut × Ccr2–/– mice. Example genes are annotated. (D) Z-score feature plot, overlaying a fibroblast gene signature derived from the heatmap in C (genes listed to the side) and displayed on the fibroblast UMAP projection, split by genotype. (E) Graph of Z-score values for fibroblast gene signature derived from heatmap in C compared across genotypes. Data presented as a box-and-whisker plot. The 5 number summary (minimum, 25% IQR, median, 75% IQR, and maximum) as well as total number of values for each group is provided as follows; WT: –0.7450, –0.4597, –0.2805, –0.07749, 0.9996, n = 1717; Dsg2mut/mut: –0.6437, –0.008809, 0.2165, 0.4886, 1.611, n = 1675; Dsg2mut/mut × Ccr2–/–: –0.7450, –0.2865, –0.06280, –0.2262, 1,371, n = 2625. P values inset and determined by 1-way ANOVA. (F) Top GO Biological pathways for the top 25 differentially upregulated genes in WT versus Dsg2mut/mut mice (red) and WT versus Dsg2mut/mut × Ccr2–/– mice (blue) (derived from C). (G) Representative immunostained myocardium displaying colocalization of CCR2+ macrophages (green) with Periostin+ (PostN+) fibroblasts (red) at 16 weeks of age. Scale bars: 60 μm. (H) Representative immunostained myocardium depicting PostN+ (red) areas via immunofluorescence staining from mice aged 16 weeks from indicated genotypes. Scale bars: 40 μm. (I) Quantification of PostN+ area as a percentage of total area in mice of the indicated genotypes (P values inset, determined via 1-way ANOVA); WT (n = 5); Dsg2mut/mut (n = 4); and Dsg2mut/mut × Ccr2–/– (n = 4). Data presented as mean ± SEM, n = 4 per cohort, P values inset and determined via 1-way ANOVA.

Single nucleus RNA-Seq reveals a role for CCR2+ monocytes and macrophages in cardiac myocyte remodeling in ACM. Cardiac myocytes cannot easily be isolated for single cell sequencing (24). To circumvent this limitation, we performed single nucleus RNA-Seq on pooled hearts from 16-week-old WT, Dsg2mut/mut, and Dsg2mut/mut × Ccr2–/– mice (Figure 7A). After preprocessing and application of quality control filters (Supplemental Figure 8A) (24), we identified 10 distinct cell types (Figure 7B and Supplemental Figure 8), including cardiac myocytes, fibroblasts, endothelial cells, pericytes/smooth muscle cells, epicardial cells, macrophages, T-cells, and glia-like cells. Differential gene expression analysis revealed cell type-specific transcriptional differences between all major cell types in both WT versus Dsg2mut/mut hearts and Dsg2mut/mut versus Dsg2mut/mut × Ccr2–/– hearts (Supplemental Figure 8). Focused analysis of the cardiac myocytes identified 3 distinct clusters referred to as CM1 (“healthy” cardiac myocytes), CM2 (“dysfunctional” cardiac myocytes), and CM3 (“conduction system” cardiac myocytes) (24, 34) (Figure 7C and Supplemental Figure 9). Cell composition and kernel density analysis showed that the CM2 cluster was increased in Dsg2mut/mut hearts compared with either WT or Dsg2mut/mut × Ccr2–/– hearts (Figure 7, D and E). Differential gene analysis demonstrated an increase in genes associated with heart failure and inflammation including Ankrd1, Xirp2, and Tlr4 (24) in Dsg2mut/mut cardiac myocytes. Many of these genes were normalized to WT levels in Dsg2mut/mut × Ccr2–/– cardiac myocytes (Figure 7, F–I). These findings highlight the complex crosstalk between CCR2+ monocytes/macrophages and cardiac myocytes in the pathogenesis of ACM.

snRNA-Seq reveals a role for CCR2+ monocytes and macrophages in cardiac myoFigure 7

snRNA-Seq reveals a role for CCR2+ monocytes and macrophages in cardiac myocyte remodeling in ACM. (A) Schematic depicting design of snRNA-Seq experiments. Frozen whole hearts (n = 3 mice per group) were mechanically homogenized. (B) UMAP of 13,176 nuclei after QC and data filtering using standard Seurat pipeline. (C) UMAP reclustering of cardiac myocyte population. (D) Composition graph showing proportion of different populations within the cardiac myocyte cluster. (E) Gaussian kernel density estimation of cells within the cardiac myocyte cluster across the indicated genotypes. (F) Heatmap of top 25 differentially expressed genes in the cardiac myocyte cluster between WT and Dsg2mut/mut mice with side-by-side comparison of the expression of those same genes from Dsg2mut/mut × Ccr2–/–. Example genes are annotated. (G) Z-score feature plot, overlaying a cardiac myocyte gene signature derived from the heatmap in F (genes listed to the side) and displayed on the cardiac myocyte UMAP projection split by genotype. (H) Graph of Z-score values for cardiac myocyte gene signature derived from heatmap in F compared across genotypes. Data presented as a box-and-whisker plot. The 5 number summary (minimum, 25% IQR, median, 75% IQR, and maximum) as well as total number of values for each group is provided as follows; WT: –0.8992, –0.3708, –0.2077, –0.04161, 0.7185, n = 564; Dsg2mut/mut: –0.5954, –0.01474, 0.2699, 0.6183, 1.742, n = 412; Dsg2mut/mut × Ccr2–/–: –0.8130, –0.2706, –0.08073, –0.1536, 1,705, n = 659. P values inset and determined via 1-way ANOVA. (I) Top GO Biological pathways for the top 25 differentially upregulated genes in WT versus Dsg2mut/mut mice (red) and WT versus Dsg2mut/mut × Ccr2–/– mice (blue) (derived from F).

Sources of NFκB activation and mechanisms of contractile dysfunction in ACM. Examination of 16-week-old Dsg2mut/mut × IκBαΔN mice established the importance of canonical NFκB signaling in cardiac myocytes in the pathogenesis of ACM (Figure 1). Importantly, numerous factors may regulate cardiac myocyte NFκB signaling, including cell intrinsic activation stemming from ACM pathogenic variants and crosstalk with innate immune cells, such as CCR2+ macrophages. To investigate the relative contribution of each of these sources of NFκB activation, we immunostained WT control, Dsg2mut/mut, Dsg2mut/mut × Ccr2–/–, and Dsg2mut/mut × IκBαΔN mice with an antibody targeting phosphorylated serine-536 (pSer536) at the C-terminal region of NFĸB — a phosphorylation site that is necessary for NFĸB nuclear localization and subsequent NFĸB-mediated transcription (35). We found elevated NFκB nuclear localization in Dsg2mut/mut mice at 8 and 16 weeks of age compared with WT mice (Supplemental Figure 10). We further observed reduced myocardial NFκB nuclear localization in 8- and 16-week-old Dsg2mut/mut × Ccr2–/– and Dsg2mut/mut × IκBαΔN mice (Supplemental Figure 10), highlighting possible contributions from both cardiac myocytes and CCR2+ macrophages. Interestingly, reduced levels of NFκB nuclear localization were observed in Dsg2mut/mut mice at 16 weeks of age compared with 8-week-old Dsg2mut/mut mice, suggesting temporal NFĸB activation during disease progression.

To evaluate the relative importance of CCR2+ macrophage-independent NFκB signaling on contractile dysfunction in ACM, we treated 16-week-old Dsg2mut/mut and Dsg2mut/mut × Ccr2–/– mice with Bay 11-7082, a potent inhibitor of NFκB (6), for 8 weeks and assessed contractile function and arrhythmias before and after treatment. Prior to Bay 11-7082 treatment, Dsg2mut/mut and Dsg2mut/mut × Ccr2–/– mice both showed substantial and roughly equivalent reductions in LV ejection fraction (Figure 8A). Vehicle-treated Dsg2mut/mut mice showed further deterioration of LV function during the 8-week treatment interval, whereas Bay 11-7082–treated Dsg2mut/mut mice showed no further disease progression and actually exhibited modest improvement in cardiac function and reduced PVC burden (Figure 8, B–E, and Supplemental Table 4). Strikingly, LV ejection fractions in Bay 11-7082–treated Dsg2mut/mut × Ccr2–/– mice were normalized to levels typically seen in WT mice (Figure 8B). Bay 11-7082–treated Dsg2mut/mut mice and vehicle-treated Dsg2mut/mut × Ccr2–/– mice displayed reductions in cardiac fibrosis compared with vehicle-treated Dsg2mut/mut mice at 24-weeks. Bay 11-7082–treated Dsg2mut/mut × Ccr2–/– mice showed marked reductions in fibrosis compared with all other treatment groups (Figure 8, F and G). These observations indicate that LV systolic dysfunction in Dsg2mut/mut mice is caused by both CCR2+ monocyte and macrophage infiltration as well as an independent source of NFκB signaling. Based on our findings in Dsg2mut/mut × IĸBαΔN mice (Figure 1) and pSer536 NFĸB immunostaining (Supplemental Figure 10), cardiac myocyte cell intrinsic NFκB signaling represents a likely source. These results have important implications for patients with ACM, as antiinflammatory therapy may be beneficial in patients with established disease.

Contractile dysfunction is rescued in Dsg2mut/mut × Ccr2–/– mice via NFκB-iFigure 8

Contractile dysfunction is rescued in Dsg2mut/mut × Ccr2–/– mice via NFκB-inhibition. (A and B) Percent left ventricular ejection fraction (%LVEF) at 16 (16 wk) and 24 weeks (24 wk) of age in Dsg2mut/mut and Dsg2mut/mut × Ccr2–/– mice treated for 8 weeks with either vehicle (Veh) or the NFκB inhibitor, Bay11-7082 (Bay11; 5 mg/kg/day via continuous infusion at 0.11 μL/h for 8 weeks). Note, preserved cardiac function in Veh-treated Dsg2mut/mut × Ccr2–/– mice, whereas Bay11-treated Dsg2mut/mut × Ccr2–/– mice showed notable improvement in function following 8 weeks of Bay11 treatment. (C) Percent PVCs (%PVCs) at 24 wk. (D and E) Left ventricular internal diameter in diastole (LV diameter;d) and systole (LV diameter;s) at 16 wk and 24 wk in Dsg2mut/mut and Dsg2mut/mut × Ccr2–/– mice treated with either Veh or Bay11. (F) Representative trichrome-stained hearts (Scale bar: 1 mm) and (G) percent (%) fibrosis at 24 wk from Veh-treated Dsg2mut/mut (n = 4) and Dsg2mut/mut × Ccr2–/– mice (n = 4), and Bay11-treated Dsg2mut/mut (n = 5) and Dsg2mut/mut × Ccr2–/– mice (n = 5) at 24 wk. Data presented as mean ± SEM; *P < 0.05 any cohort versus Dsg2mut/mut (Veh); †P < 0.05 Bay11-treated mice versus Veh-treated mice within genotype; using 1-way ANOVA with Tukey’s posthoc analysis.

Discussion

Inflammation has been recognized in ACM for as long as the disease has been known (4, 5). Inflammatory infiltrates are seen at autopsy in the hearts of most patients with ACM, and are especially common in patients with ACM who died suddenly (3, 5). They typically occur in both ventricles, even if macroscopic disease is confined to the RV, and their presence may lead to the misdiagnosis of myocarditis (36, 37). A histological picture reminiscent of acute myocarditis may reflect an active phase of ACM associated with accelerated disease progression (37). Yet, while inflammatory cells likely contribute to the pathogenesis of ACM, no previous studies have validated such a mechanism, nor have specific types of inflammatory cells been implicated in myocardial injury and arrhythmias in ACM. Furthermore, iPSC-cardiac myocytes expressing ACM disease variants in PKP2 (6) or DSG2 (10) are known to produce large amounts of proinflammatory mediators under the control of NFκB, including primordial cytokines of the innate immune response such as IL-1-β, INF-γ and TNF-α. These cytokines are expressed under basal conditions in vitro without stimulation or exogenous provocation and in the absence of inflammatory cells.

These observations raise the question about the relative roles of innate immune responses in cardiac myocytes versus actions of inflammatory cells in the pathogenesis of ACM. To answer this question, we studied a well-characterized mouse model of ACM (Dsg2mut/mut mice) that exhibits progressive myocardial injury (age-dependent loss of heart muscle and replacement by fibrosis), contractile dysfunction, and arrhythmias. Using a genetic approach, we defined phenotypes in Dsg2mut/mut mice in which either NFκB signaling in cardiac myocytes was prevented or actions of monocytes and macrophages expressing CCR2 were blocked. We discovered complex immune mechanisms in the pathogenesis of ACM involving crosstalk between cardiac myocytes, CCR2+ macrophages, and fibroblasts.

The major insight to come from this work is that NFκB signaling in cardiac myocytes is fundamental in the pathogenesis of ACM. Blocking this pathway in cardiac myocytes alone attenuated the ACM disease phenotype in Dsg2mut/mut mice. These mice showed little if any myocardial fibrosis, a marked reduction in arrhythmias and ECG depolarization/repolarization abnormalities, preservation of contractile function, and greatly reduced myocardial levels of proinflammatory cytokines. These results indicate that NFκB signaling in cardiac myocytes drives myocardial injury, promotes arrhythmias, and stimulates production of proinflammatory mediators.

NFκB signaling in cardiac myocytes also had a profound affect on populations of myocardial inflammatory cells and fibroblasts in Dsg2mut/mut mice. The hearts of these mice contained reduced numbers of LYVE-1+ cardiac resident macrophages, and greatly increased numbers of proinflammatory CCR2+ macrophages and profibrotic Postn+ fibroblasts compared with WT mice. This highly proinflammatory cellular landscape was greatly attenuated when NFκB signaling in cardiac myocytes was blocked in Dsg2mut/mut × IκBαΔN mice. These findings strongly suggest that signals emanating from cardiac myocytes in Dsg2mut/mut mice cause CCR2+ macrophages to accumulate in the heart and promote the development of a subset of fibroblasts known to participate in myocardial fibrosis.

To gain insights into the actions of CCR2+ cells, we analyzed phenotypes in Dsg2mut/mut mice with a germline deletion of Ccr2. As seen in Dsg2mut/mut × IκBαΔN mice in which NFκB signaling in cardiac myocytes was blocked, Dsg2mut/mut × Ccr2–/– mice exhibited little if any myocardial fibrosis. They also contained fewer Postn+ cells in their hearts than Dsg2mut/mut mice and showed pronounced reductions in arrhythmias and cytokine levels. These observations indicate that CCR2+ cells mediate myocardial injury and promote arrhythmias, as these disease features were clearly mitigated in Dsg2mut/mut × Ccr2–/– mice. They also suggest that the greatly reduced myocardial injury seen in Dsg2mut/mut × IκBαΔN mice was due mainly, if not entirely, to diminished numbers of CCR2+ macrophages in these hearts. Thus, NFκB signaling in cardiac myocytes from patients with ACM stimulates CCR2+ cells to accumulate in the heart, where they mediate myocardial injury and promote arrhythmias.

Despite the distinct lack of myocardial fibrosis in Dsg2mut/mut × Ccr2–/– mice, LV contractile function was reduced to an extent seen in Dsg2mut/mut mice at 16 weeks of age. This observation suggested that NFκB signaling in cardiac myocytes, which was presumably unaffected in Dsg2mut/mut × Ccr2–/– mice, caused contractile dysfunction related to negative inotropic effects of inflammation in viable myocardium. Such a mechanism was supported by studies showing that treating 16-week-old Dsg2mut/mut × Ccr2–/– mice with the NFκB blocker Bay 11-7082 fully normalized contractile function. These observations suggest that contractile dysfunction in patients with ACM is related not only to loss of myocardium and its replacement by fibrofatty scar tissue, but to potentially reversible changes in viable myocardium caused by persistent innate immune signaling. If so, then antiinflammatory therapy in patients with ACM with established disease might result in, at least, some recovery of contractile function.

Results of CITE-Seq and single nuclei RNA-Seq (snRNA-Seq) studies revealed additional insights highlighting remarkable crosstalk between cardiac myocytes, CCR2+ macrophages, and Postn+ fibroblasts. For example, Tlr4, the gene for the major pattern recognition receptor on cardiac myocytes, was one of the most highly upregulated genes in cardiac myocytes in Dsg2mut/mut mice, consistent with the chronic, nonresolving NFκB signaling known to occur in cardiac myocytes in ACM. Yet, Tlr4 expression was not increased in cardiac myocytes in Dsg2mut/mut × Ccr2–/– mice. Similarly, Postn expression was greatly increased in fibroblasts in Dsg2mut/mut mice but not in Dsg2mut/mut × Ccr2–/– mice. These results suggest that signals from CCR2+ cells directly or indirectly regulate gene expression in cardiac myocytes and fibroblasts in Dsg2mut/mut mice.

The results of this study reveal insights into mechanisms of immune injury in ACM and demonstrate bidirectional interactions between cardiac myocytes, inflammatory cells, and fibroblasts. They also identify potential drug targets and strategies. However, as provocative as these findings may be, major questions remain unanswered and may serve as priorities for future research. For example, how variants in desmosomal genes lead to persistent activation of innate immune responses that fail to resolve is yet not known. Glycogen synthase kinase 3β (GSK3β), which is aberrantly activated in cardiac myocytes in ACM due to altered Wnt/β-catenin pathways (7, 38, 39), could be a mechanistic link. Activation of GSK3β has been shown to promote inflammation through NFκB, whereas inhibition of GSK3β limits inflammation (40–42). Another unanswered question concerns the pathogenic roles of specific inflammatory mediators produced by cardiac myocyte and/or inflammatory cells in ACM. Progress in this area could affect future drug discoveries. Related unanswered questions concern the specific signals used by cardiac myocytes to mobilize inflammatory cells and orchestrate their injurious activities in ACM and mechanisms used by CCR2+ cells that regulate gene expression in cardiac myocytes and fibroblasts. Finally, it should be emphasized that these studies focused only on the role of CCR2+ cells in Dsg2mut/mut mice. Other types of inflammatory cells undoubtedly participate in the pathogenesis of ACM as well.

Studies here were performed entirely in genetically manipulated mouse models of ACM. Previous studies of patient-derived iPSC-cardiac myocytes from patients with ACM suggest that inflammatory signaling mediated by NFκB is activated in a cell-autonomous fashion in ACM (6, 10). To determine if NFκB is activated in cardiac myocytes in patients with ACM, we performed parallel studies in postmortem hearts from patients with ACM who died suddenly. As reported in Bueno-Beti et al (43), we observed nuclear signal for RelA/p65 in cardiac myocytes in a great majority of hearts from patients with ACM, indicating active NFκB signaling in cardiac myocytes at time of death. This was associated with a palpable increase in the number of CCR2+ cells in the hearts of patients with ACM compared with hearts of age-matched controls with no history of heart disease. We also found evidence of activation of NFκB signaling in buccal mucosa cells obtained from young patients with ACM at the time they first exhibited clinical manifestations of disease (43). Taken together, our insights gained here through studies of experimental models (combined with patient data reported by Bueno-Beti and colleagues) provide a compelling rationale for the potential benefit of antiinflammatory therapy in ACM.

Methods

Sex as a biological variable. This study examined male and female mice, and similar findings are reported for both sexes.

Generation of double-mutant ACM mouse models. To create ACM mice in which activation of NFĸB signaling in cardiac myocytes was prevented, we crossed Dsg2mut/mut mice with mice with transgenic cardiac myocyte-specific overexpression of a dominant-negative form of the NFĸB pathway protein IĸBα involving deletion of 36 NH2-terminal amino acids, supplied by Douglas Mann (Washington University School of Medicine, St. Louis, Missouri, USA) (11). This N-terminal deletion (ΔN) prevents phosphorylation of Ser32/36 in IĸBα and subsequent nuclear localization of NFĸB in cardiac myocytes (15, 16). This line has been used to define the role of NFκB in cardiac myocyte apoptosis following ischemia (11). Mice were crossbred to obtain a line with Dsg2-mutant homozygosity and cardiac myocyte-specific overexpression of dominant-negative IĸBα (IκBαΔN) (11), thus creating Dsg2mut/mut × IκBαΔN double–mutant mice. To produce ACM mice, in which actions of CCR2+ cells were blocked, we crossed Dsg2mut/mut mice with mice with germline deletion of murine Ccr2 (Ccr2–/–, Jackson Laboratory, strain 017586) (22). These mice were crossbred to double homozygosity to produce Dsg2mut/mut × Ccr2–/– double–mutant mice.

Characterization of disease phenotypes. Initial immune phenotyping by flow cytometry was performed in 2-week, 4-week, 6-week, 10-week, and 16-week-old WT and Dsg2mut/mut mice. Additionally, phenotypes in Dsg2mut/mut and the two double-mutant lines were studied at 8 and 16 weeks of age and compared with age-matched WT controls. As previously reported, 8-week-old Dsg2mut/mut mice exhibit only a modest disease phenotype consisting of a few premature ventricular complexes (PVCs), minimally reduced contractile function, and little, if any, myocardial injury (6, 7). By 16 weeks of age, however, they show marked arrhythmias, marked contractile dysfunction, and extensive myocardial replacement fibrosis (7). Accordingly, to define the effects of NFκB signaling in cardiac myocytes and actions of CCR2+ cells in the development of the ACM phenotype, all mice underwent echocardiographic and ECG analyses at 8 and 16 weeks of age. Then, hearts obtained from 16-week-old animals were further analyzed by: (a) histology to measure the amount of ventricular fibrosis; (b) IHC and RNA-scope in situ hybridization to measure the number of specific subsets of macrophages; (c) Evan’s Blue staining and IHC to assess cardiac myocyte death; (d) cytokine arrays to measure the levels of various inflammatory mediators; (e) snRNA-Seq and CITE-Seq to characterize gene expression and related changes in specific cell types in the heart including macrophages, fibroblasts, and cardiac myocytes; and (f) infusion of caffeine and dobutamine for arrhythmia induction studies. Detailed descriptions of these methods are included in the Supplemental Materials.

In vivo drug treatment. The effects of Bay 11-7082, a small molecule inhibitor of NFĸB, on left ventricular contractile function were compared in Dsg2mut/mut mice and Dsg2mut/mut × Ccr2–/– mice to determine the extent to which inhibition of NFĸB signaling could prevent further disease progression and promote recovery of cardiac function. 16-week-old Dsg2mut/mut and Dsg2mut/mut × Ccr2–/–mice underwent echocardiography before being implanted with subcutaneous osmotic minipumps (Alzet, Model 1004), as previously described (6). They received either vehicle or drug (50 μg/μL Bay11-7082 dissolved in 65% dimethyl sulfoxide, 15% ethanol, and 20% 1× PBS). Drug-treated mice received 5 mg/kg/day Bay11-7082 via continuous infusion (0.11 μL/hour for 28 days); vehicle-treated mice received an equivalent volume of vehicle for 28 days. Minipumps were replaced at 20 weeks of age, and treatment was continued for an additional 4 weeks (Supplemental Figure 11). Final echocardiograms were obtained in both groups at 24 weeks of age.

Statistics. All data are presented as mean ± SEM; n-values and the statistical analyses performed for each experiment are indicated in figure legends and tables. Gaussian distributions were assumed considering sample sizes (n ≥ 10). Differences in measured variables were assessed with Mann-Whitney or 1-way ANOVA with Tukey post hoc analysis. A P value of < 0.05 was considered statistically significant. All statistical analyses were analyzed using GraphPad Prism (v9.2) software.

Study approval. All experiments in this study conformed to the National Institutes of Health Guide for the Care and Use of Laboratory Animals (NIH publication no. 85–23, revised 1996). All protocols were approved by the Animal Care and Use Committees at Florida State University and Washington University in St. Louis. All animals were housed in a 12-hour-light/dark cycle, climate-controlled facility with ad libitum access to water and standard rodent chow.

Data availability. All raw data are provided in the supplement. Additionally, raw sequence files and processed.rds object that support the findings of this study are available on the Gene Expression Omnibus (GSE228048). Code to reproduce the figures derived from the sequencing data will be available on the Lavine Lab Github (https://github.com/alkoenig/ACM_Immune) or upon request to the authors.

Author contributions

SPC, JES, and KL conceived and designed the study. SPC, VRP, ME, EAS, AMC, WF, MLV, and NS performed experiments. ENC and WF were responsible for maintaining, crossing, and genotyping mice. SPC, JES, VRP, and KL drafted and revised the manuscript. SPC, VRP, ME, MLV, and NS were responsible for data acquisition and analysis. JES and KL provided expert input, training, and data interpretation. SPC and VRP contributed equally to work, in both technical and conceptual design.

Supplemental material

View Supplemental data

View Unedited blot and gel images

View Supporting data values

Acknowledgments

We thank Douglas Mann (Washington University School of Medicine in St. Louis, Missouri, USA) from whom we acquired the IκBαΔN mice. This work was supported by an American Heart Association Career Development Award (19CDA34760185, to SPC); a National Institutes of Health grant (R01-HL148348, to JES); a Washington University in St. Louis Rheumatic Diseases Research Resource-Based Center grant (NIH P30AR073752, to KL); a NIH grant (R35 HL161185, to KL); a Leducq Foundation Network grant (#20CVD02, to KL); a Burroughs Wellcome Fund grant (1014782, to KL); a Children’s Discovery Institute of Washington University and St. Louis Children’s Hospital grant (CH-II-2015-462, CH-II-2017-628, PM-LI-2019-829, to KL); a Foundation of Barnes-Jewish Hospital grant (8038-88, to KL); and generous gifts from Washington University School of Medicine (to KL). VP is supported by a NIH grant (5T32AI007163-44, to VP).

Address correspondence to: Stephen P. Chelko, Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, Florida 32306, USA. Phone: 850.644.2215; Email: stephen.chelko@med.fsu.edu.

Footnotes

Conflict of interest: SPC is on the Advisory Board for Rejuvenate Bio and Who We Play For. KL is on the Advisory Board for Medtronic and is a recipient of sponsored research agreements from Amgen, Novartis, Implicit Biosciences, and Kiniksa. JES is a consultant for Rejuvenate Bio and Implicit Biosciences and holds a US Patent (US Patent 10,317,417.) for the use of buccal cells in the diagnosis of arrhythmogenic cardiomyopathy.

Copyright: © 2024, Chelko et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.

Reference information: J Clin Invest. 2024;134(10):e172014. https://doi.org/10.1172/JCI172014.

See the related Commentary at Targeting arrhythmogenic macrophages: Lessons learned from arrhythmogenic cardiomyopathy.

References
  1. Corrado D. Arrhythmogenic right ventricular cardiomyopathy: evaluation of the current diagnostic criteria and differential diagnosis. Eur Heart J. 2020;41(14):1414–1429.
    View this article via: CrossRef PubMed Google Scholar
  2. Marcus FI. Diagnosis of arrhythmogenic right ventricular cardiomyopathy/dysplasia: proposed modification of the Task Force Criteria. Eur Heart J. 2010;31(7):806–814.
    View this article via: CrossRef PubMed Google Scholar
  3. Corrado D. Spectrum of clinicopathologic manifestations of arrhythmogenic right ventricular cardiomyopathy/dysplasia: a multicenter study. J Am Coll Cardiol. 1997;30(6):1512–1520.
    View this article via: CrossRef PubMed Google Scholar
  4. Marcus FI. Right ventricular dysplasia: a report of 24 adult cases. Circulation. 1982;65(2):384–398.
    View this article via: CrossRef PubMed Google Scholar
  5. Fontaine G. The arrhythmogenic right ventricle. Dysplasia versus cardiomyopathy. Heart Vessels. 1995;10(5):227–235.
    View this article via: CrossRef PubMed Google Scholar
  6. Chelko SP. Therapeutic modulation of the immune response in arrhythmogenic cardiomyopathy. Circulation. 2019;140(18):1491–1505.
    View this article via: CrossRef PubMed Google Scholar
  7. Chelko SP. Central role for GSK3β in the pathogenesis of arrhythmogenic cardiomyopathy. JCI Insight. 2016;1(5):e85923.
    View this article via: JCI Insight CrossRef PubMed Google Scholar
  8. Chelko SP. Exercise triggers CAPN1-mediated AIF truncation, inducing myocyte cell death in arrhythmogenic cardiomyopathy. Sci Transl Med. 2021;13(581):eabf0891.
    View this article via: CrossRef PubMed Google Scholar
  9. Coghlan MP. Selective small molecule inhibitors of glycogen synthase kinase-3 modulate glycogen metabolism and gene transcription. Chem Biol. 2000;7(10):793–803.
    View this article via: CrossRef PubMed Google Scholar
  10. Hawthorne RN. Altered electrical, biomolecular, and immunologic phenotypes in a novel patient-derived stem cell model of desmoglein-2 mutant ARVC. J Clin Med. 2021;10(14):3061.
    View this article via: CrossRef PubMed Google Scholar
  11. Misra A. Nuclear factor-ĸB protects the adult cardiac myocyte against ischemia-induced apoptosis in a murine model of acute myocardial infarction. Circulation. 2003;108(25):3075–3078.
    View this article via: CrossRef PubMed Google Scholar
  12. Braga TT. CCR2 contributes to the recruitment of monocytes and leads to kidney inflammation and fibrosis development. Inflammopharmacology. 2018;26(2):403–411.
    View this article via: CrossRef PubMed Google Scholar
  13. Heymann F, et al. Monocytes and macrophages as cellular targets in liver fibrosis. Inflamm Allergy Drug Targets. 2009;8(4):307–318.
    View this article via: CrossRef PubMed Google Scholar
  14. Boring L. Impaired monocyte migration and reduced type 1 (Th1) cytokine responses in C-C chemokine receptor 2 knockout mice. J Clin Invest. 1997;100(10):2552–2561.
    View this article via: JCI CrossRef PubMed Google Scholar
  15. Wang X. Post-translational modifications of IκBα: the state of the art. Front Cell Dev Biol. 2020;8:574706.
    View this article via: CrossRef PubMed Google Scholar
  16. Traenckner EB. Phosphorylation of human I kappa B-alpha on serines 32 and 36 controls I kappa B-alpha proteolysis and NF-kappa B activation in response to diverse stimuli. EMBO J. 1995;14(12):2876–2883.
    View this article via: CrossRef PubMed Google Scholar
  17. Gardner BB, et al. Cardiac function in muscular dystrophy associates with abdominal muscle pathology. J Neuromuscul Dis. 2015;2(1):39–49.
    View this article via: CrossRef PubMed Google Scholar
  18. Li W, et al. Ferroptotic cell death and TLR4/Trif signaling initiate neutrophil recruitment after heart transplantation. J Clin Invest. 2019;129(6):2293–2304.
    View this article via: JCI CrossRef PubMed Google Scholar
  19. Li W, et al. Heart-resident CCR2+ macrophages promote neutrophil extravasation through TLR9/MyD88/CXCL5 signaling. JCI Insight. 2016;1(12):e87315.
    View this article via: JCI Insight CrossRef PubMed Google Scholar
  20. Klune JR, et al. HMGB1: endogenous danger signaling. Mol Med. 2008;14(7–8):476–484.
    View this article via: CrossRef PubMed Google Scholar
  21. Chen R, et al. The mechanism of HMGB1 secretion and release. Exp Mol Med. 2022;54(2):91–102.
    View this article via: CrossRef PubMed Google Scholar
  22. Saederup N. Selective chemokine receptor usage by central nervous system myeloid cells in CCR2-red fluorescent protein knock-in mice. PLoS One. 2010;5(10):e13693.
    View this article via: CrossRef PubMed Google Scholar
  23. Petermann M. CCR2 deficiency impairs Ly6Clo and Ly6Chi monocyte responses in Orientia tsutsugamushi infection. Front Immunol. 2021;12:670219.
    View this article via: CrossRef PubMed Google Scholar
  24. Koenig AL. Single-cell transcriptomics reveals cell-type-specific diversification in human heart failure. Nat Cardiovasc Res. 2022;1(3):263–280.
    View this article via: CrossRef PubMed Google Scholar
  25. Bajpai G. Tissue resident CCR2- and CCR2+ cardiac macrophages differentially orchestrate monocyte recruitment and fate specification following myocardial injury. Circ Res. 2019;124(2):263–278.
    View this article via: CrossRef PubMed Google Scholar
  26. Leid J. Primitive embryonic macrophages are required for coronary development and maturation. Circ Res. 2016;118(10):1498–1511.
    View this article via: CrossRef PubMed Google Scholar
  27. Zhao S. Periostin expression is upregulated and associated with myocardial fibrosis in human failing hearts. J Cardiol. 2014;63(5):373–378.
    View this article via: CrossRef PubMed Google Scholar
  28. Gil H. Defining the timeline of periostin upregulation in cardiac fibrosis following acute myocardial infarction in mice. Sci Rep. 2022;12(1):21863.
    View this article via: CrossRef PubMed Google Scholar
  29. Lavine K, et al. Targeting immune-fibroblast crosstalk in myocardial infarction and cardiac fibrosis [preprint]. https://doi.org/10.21203/rs.3.rs-2402606/v1 Posted on Res Sq January 26, 2023.
  30. Nanri Y. Cross-talk between transforming growth factor-β and periostin can be targeted for pulmonary fibrosis. Am J Respir Cell Mol Biol. 2020;62(2):204–216.
    View this article via: CrossRef PubMed Google Scholar
  31. Park S. Cardiac fibrosis is associated with decreased circulating levels of full-length CILP in heart failure. JACC Basic Transl Sci. 2020;5(5):432–443.
    View this article via: CrossRef PubMed Google Scholar
  32. Alexanian M. A transcriptional switch governs fibroblast activation in heart disease. Nature. 2021;595(7867):438–443.
    View this article via: CrossRef PubMed Google Scholar
  33. Kanisicak O. Genetic lineage tracing defines myofibroblast origin and function in the injured heart. Nat Commun. 2016;7:12260.
    View this article via: CrossRef PubMed Google Scholar
  34. Chaffin M. Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy. Nature. 2022;608(7921):174–180.
    View this article via: CrossRef PubMed Google Scholar
  35. Kwon HJ, et al. Stepwise phosphorylation of p65 promotes NF-κB activation and NK cell responses during target cell recognition. Nat Commun. 2016;7:11686.
    View this article via: CrossRef PubMed Google Scholar
  36. Scheel PJ. Arrhythmogenic right ventricular cardiomyopathy presenting as clinical myocarditis in women. Am J Cardiol. 2021;145:128–134.
    View this article via: CrossRef PubMed Google Scholar
  37. Lopez-Ayala JM. Genetics of myocarditis in arrhythmogenic right ventricular dysplasia. Heart Rhythm. 2015;12(4):766–773.
    View this article via: CrossRef PubMed Google Scholar
  38. Garcia-Gras E. Suppression of canonical Wnt/β-catenin signaling by nuclear plakoglobin recapitulates phenotype of arrhythmogenic right ventricular cardiomyopathy. J Clin Invest. 2006;116(7):2012–2021.
    View this article via: JCI CrossRef PubMed Google Scholar
  39. Asimaki A. Identification of a new modulator of the intercalated disc in a zebrafish model of arrhythmogenic cardiomyopathy. Sci Transl Med. 2014;6(240):240ra74.
    View this article via: CrossRef PubMed Google Scholar
  40. Besse S. Early protective role of inflammation in cardiac remodeling and heart failure: focus on TNFα and resident macrophages. Cells. 2022;11(7):1249.
    View this article via: CrossRef PubMed Google Scholar
  41. Jope RS, et al. Glycogen synthase kinase-3 (GSK3): inflammation, diseases, and therapeutics. Neurochem Res. 2007;32(4–5):577–595.
    View this article via: CrossRef PubMed Google Scholar
  42. Asatryan B. Inflammation and immune response in arrhythmogenic cardiomyopathy: state-of-the-art review. Circulation. 2021;144(20):1646–1655.
    View this article via: CrossRef PubMed Google Scholar
  43. Bueno-Beti C, et al. Innate immune signaling in hearts and buccal mucosa cells of patients with arrhythmogenic cardiomyopathy. Heart Rhythm O2. 2023;4(10):650–659.
    View this article via: CrossRef PubMed Google Scholar
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  • Version 1 (April 2, 2024): In-Press Preview
  • Version 2 (May 15, 2024): Electronic publication
  • Version 3 (July 5, 2024): Corrected figure 8E

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