Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Top
  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal
  • Top
  • Abstract
  • Introduction
  • Results
  • Discussion
  • Methods
  • Author contributions
  • Supplemental material
  • Acknowledgments
  • Footnotes
  • References
  • Version history
  • Article usage
  • Citations to this article
Advertisement

Research ArticleCardiologyInflammation Open Access | 10.1172/jci.insight.171102

Macrophage IL-1β mediates atrial fibrillation risk in diabetic mice

Xiaoxu Zhou, Hong Liu, Feng Feng, Gyeoung-Jin Kang, Man Liu, Yugene Guo, and Samuel C. Dudley Jr.

Division of Cardiology, Department of Medicine, Lillehei Heart Institute, University of Minnesota, Minneapolis, Minnesota, USA.

Address correspondence to: Samuel C. Dudley Jr., Division of Cardiology, University of Minnesota, VCRC 286 – MMC 508, 420 Delaware St., SE, Minneapolis, Minnesota 55455, USA. Phone: 612.624.8970; Email: sdudley@umn.edu.

Authorship note: XZ and HL are co–first authors.

Find articles by Zhou, X. in: PubMed | Google Scholar

Division of Cardiology, Department of Medicine, Lillehei Heart Institute, University of Minnesota, Minneapolis, Minnesota, USA.

Address correspondence to: Samuel C. Dudley Jr., Division of Cardiology, University of Minnesota, VCRC 286 – MMC 508, 420 Delaware St., SE, Minneapolis, Minnesota 55455, USA. Phone: 612.624.8970; Email: sdudley@umn.edu.

Authorship note: XZ and HL are co–first authors.

Find articles by Liu, H. in: PubMed | Google Scholar

Division of Cardiology, Department of Medicine, Lillehei Heart Institute, University of Minnesota, Minneapolis, Minnesota, USA.

Address correspondence to: Samuel C. Dudley Jr., Division of Cardiology, University of Minnesota, VCRC 286 – MMC 508, 420 Delaware St., SE, Minneapolis, Minnesota 55455, USA. Phone: 612.624.8970; Email: sdudley@umn.edu.

Authorship note: XZ and HL are co–first authors.

Find articles by Feng, F. in: PubMed | Google Scholar |

Division of Cardiology, Department of Medicine, Lillehei Heart Institute, University of Minnesota, Minneapolis, Minnesota, USA.

Address correspondence to: Samuel C. Dudley Jr., Division of Cardiology, University of Minnesota, VCRC 286 – MMC 508, 420 Delaware St., SE, Minneapolis, Minnesota 55455, USA. Phone: 612.624.8970; Email: sdudley@umn.edu.

Authorship note: XZ and HL are co–first authors.

Find articles by Kang, G. in: PubMed | Google Scholar

Division of Cardiology, Department of Medicine, Lillehei Heart Institute, University of Minnesota, Minneapolis, Minnesota, USA.

Address correspondence to: Samuel C. Dudley Jr., Division of Cardiology, University of Minnesota, VCRC 286 – MMC 508, 420 Delaware St., SE, Minneapolis, Minnesota 55455, USA. Phone: 612.624.8970; Email: sdudley@umn.edu.

Authorship note: XZ and HL are co–first authors.

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

Division of Cardiology, Department of Medicine, Lillehei Heart Institute, University of Minnesota, Minneapolis, Minnesota, USA.

Address correspondence to: Samuel C. Dudley Jr., Division of Cardiology, University of Minnesota, VCRC 286 – MMC 508, 420 Delaware St., SE, Minneapolis, Minnesota 55455, USA. Phone: 612.624.8970; Email: sdudley@umn.edu.

Authorship note: XZ and HL are co–first authors.

Find articles by Guo, Y. in: PubMed | Google Scholar

Division of Cardiology, Department of Medicine, Lillehei Heart Institute, University of Minnesota, Minneapolis, Minnesota, USA.

Address correspondence to: Samuel C. Dudley Jr., Division of Cardiology, University of Minnesota, VCRC 286 – MMC 508, 420 Delaware St., SE, Minneapolis, Minnesota 55455, USA. Phone: 612.624.8970; Email: sdudley@umn.edu.

Authorship note: XZ and HL are co–first authors.

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

Authorship note: XZ and HL are co–first authors.

Published June 18, 2024 - More info

Published in Volume 9, Issue 15 on August 8, 2024
JCI Insight. 2024;9(15):e171102. https://doi.org/10.1172/jci.insight.171102.
© 2024 Zhou 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 June 18, 2024 - Version history
Received: April 3, 2023; Accepted: June 14, 2024
View PDF
Abstract

Diabetes mellitus (DM) is an independent risk factor for atrial fibrillation (AF). The mechanisms underlying DM-associated AF are unclear. AF and DM are both related to inflammation. We investigated whether DM-associated inflammation contributed to AF risk. Mice were fed with high-fat diet to induce type II DM and were subjected to IL-1β antibodies, macrophage depletion by clodronate liposomes, a mitochondrial antioxidant (mitoTEMPO), or a cardiac ryanodine receptor 2 (RyR2) stabilizer (S107). All tests were performed at 36–38 weeks of age. DM mice presented with increased AF inducibility, enhanced mitochondrial reactive oxygen species (mitoROS) generation, and activated innate immunity in the atria, as evidenced by enhanced monocyte chemoattractant protein-1 (MCP-1) expression, macrophage infiltration, and IL-1β levels. Signs of aberrant RyR2 Ca2+ leak were observed in the atria of DM mice. IL-1β neutralization, macrophage depletion, and exposure to mitoTEMPO and S107 significantly ameliorated the AF vulnerability in DM mice. Atrial overexpression of MCP-1 increased AF occurrence in normal mice through the same mechanistic signaling cascade as observed in DM mice. In conclusion, macrophage-mediated IL-1β contributed to DM-associated AF risk through mitoROS modulation of RyR2 Ca2+ leak.

Graphical Abstract
graphical abstract
Introduction

Type II diabetes mellitus (DM) is one of the most common chronic diseases in the world (1). DM is also an independent risk factor for the development of atrial fibrillation (AF) (2, 3), increasing the risk of developing AF by 40% (4). AF is the most prevalent human arrhythmia (5), and an estimated 2.5% of patients with AF have diabetes (4). The presence of comorbid DM and AF increases the risks of major cardiocerebrovascular events and all-cause mortality compared with either condition alone (6). DM causes electrical, structural, and autonomic remodeling in atria leading to the development of AF (7). Nevertheless, the exact cellular and molecular mechanisms inciting and maintaining DM-associated AF and diabetic atrial remodeling are not fully understood.

Recently, we have reported that DM activates inflammatory macrophages to secrete IL-1β, resulting in overproduction of mitochondrial reactive oxygen species (mitoROS) in the ventricle (8, 9). MitoROS contributes to DM-associated ventricular arrhythmic risk and heart failure with preserved ejection fraction (HFpEF) through oxidizing the downstream ryanodine receptor 2 (RyR2) channel and cardiac myosin binding protein C, respectively (9, 10). Considering the strong epidemiological interlink among DM, AF, and HFpEF, it is plausible that there may be common mechanistic signals underlying DM-associated cardiac electrical and functional abnormalities.

Therefore, in this study, we investigated whether macrophage-mediated IL-1β contributed to DM-associated AF via redox modulation of diastolic Ca2+ release.

Results

AF inducibility was increased in DM mice. Type II DM was induced by feeding mice with high-fat diet (HFD) for at least 30 weeks. This HFD-induced DM model has been demonstrated and characterized in our previous studies (8, 10). Here, we recapitulated our previous observations that HFD induced hyperglycemia (Figure 1A, fasting glucose level, 119 ± 11 mg/dL in control vs. 168 ± 16 mg/dL in DM, P = 0.031) and obesity (Figure 1B, body weight, 35 ± 2 g in control vs. 57 ± 1 g in DM, P < 0.0001). Echocardiographic evaluation (Supplemental Table 1; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.171102DS1) indicated impaired cardiac diastolic function in these HFD-induced DM mice (Figure 1D, ratio of transmitral Doppler early filling velocity to tissue Doppler early diastolic mitral annual velocity [E/E′], 13.6 ± 1.0 in control vs. 23.2 ± 1.7 in DM, P = 0.0006), whereas systolic function was preserved (Figure 1C, P = 0.246). The left atrial diameter (Figure 1E, P = 0.662) and the atrial collagen I level (Figure 1F, 1.30 ± 0.21 collagen I/vinculin in control vs. 1.06 ± 0.28 collagen I/vinculin in DM, P = 0.501; Supplemental Figure 1) were comparable between the control and DM mice. Programmed stimulation induced AF in 6 of 6 DM mice and only in 1 of 6 control mice (Figure 1, G and H, P = 0.015). These results suggested that AF vulnerability was increased in DM mice before apparent atrial structural remodeling was present.

AF inducibility in DM mice.Figure 1

AF inducibility in DM mice. HFD-induced (A) high fasting glucose level and (B) obesity in mice. Echocardiographic evaluation indicated (C) preserved ejection fraction and (D) an increased ratio of transmitral Doppler early filling velocity to tissue Doppler early diastolic mitral annual velocity (E/E′). (E) Left atrial diameter by echocardiography and (F) atrial collagen I level by immunoblotting were comparable between control and DM mice. N = 5–6 mice per group. (G) DM mice had higher AF inducibility compared with the control mice; IL-1β–neutralizing antibody or mitochondrial antioxidant (mitoTEMPO) inhibited AF inducibility in DM mice. N is indicated within the bars. (H) Representative surface and intracardiac ECG traces showing induced AF in DM mice; arrows indicate the end of programmed stimulation. Scale bar: 100 ms. Data are shown as the mean ± SEM. Unpaired t test (A–F) or Fisher’s exact test (G) were used. *P < 0.05, **P < 0.01, ***P < 0.001. AF, atrial fibrillation; Ctrl, control; DM, diabetes mellitus; EF, ejection fraction; HFD, high-fat diet; LA, left atrium; MT, mitoTEMPO.

Innate immunity was activated in DM atria. To investigate whether innate immunity was activated in DM atria, we first compared the atrial level of monocyte chemoattractant protein-1 (MCP-1), a key chemokine that regulates macrophage migration and infiltration (11). As shown in Figure 2A, the atrial MCP-1 level was significantly higher in DM mice, compared with that of control mice (1.02 ± 0.04 MCP-1/GAPDH in control vs. 1.17 ± 0.05 MCP-1/GAPDH in DM, P = 0.045). An elevation of MCP-1 promotes macrophage infiltration (12). As expected, an enhanced expression of the macrophage marker CD68 was observed in DM mouse atria (Figure 2B, 0.86 ± 0.06 CD68/vinculin in control vs. 1.18 ± 0.07 CD68/vinculin in DM, P = 0.011), indicating increased macrophage infiltration in DM atria (Supplemental Figure 2). Activated macrophages are important sources of a potent inflammatory cytokine, IL-1β. In our study, we found that the IL-1β level was much higher in DM atria (Figure 2C, 2.83 ± 0.74 IL-1β/vinculin) than in control atria (0.91 ± 0.07 IL-1β/vinculin, P = 0.041). These results suggested that macrophage-mediated inflammation was enhanced in DM mouse atria.

Inflammation was increased in DM atria.Figure 2

Inflammation was increased in DM atria. Expression level of (A) MCP-1, (B) macrophage marker CD68, and (C) inflammatory cytokine IL-1β were increased in DM atrial tissue. Representative immunoblotting images are shown. N = 4–5 mice per group. Data are shown as the mean ± SEM. Unpaired t test was used. *P < 0.05. Ctrl, control; DM, diabetes mellitus; MCP-1, monocyte chemoattractant protein-1.

Macrophage-mediated IL-1β contributed to DM-associated AF. We have previously reported that macrophage-mediated IL-1β contributed to DM-associated diastolic dysfunction (9). Diastolic dysfunction shares some common risk factors with AF, such as DM, hypertension, and obesity, etc. (13). To investigate whether a similar mechanism contributes to DM-associated AF, we treated DM mice with either clodronate liposomes or IL-1β–neutralizing antibodies for 2 weeks. We have demonstrated in a previous publication that a 2-week treatment with clodronate liposomes reduces the number of cardiac macrophages by 50% (9). In this study, we found that macrophage depletion remarkably reduced the IL-1β level in DM atria (Figure 3A, 1.54 ± 0.23 IL-1β/vinculin in DM + plain liposome vs. 1.04 ± 0.01 IL-1β/vinculin in DM + clodronate liposome, P = 0.037) to a level comparable to that in the control atria (1.03 ± 0.01 IL-1β/vinculin), suggesting that macrophages were a main source of IL-1β in DM atria. Both clodronate liposomes (Figure 3B, P = 0.021) and IL-1β antibodies (Figure 1G, P = 0.005) significantly mitigated the AF inducibility in DM mice. These findings indicated that IL-1β was the effector of macrophage-mediated inflammation in DM-associated AF.

Macrophage-secreted IL-1β mediated DM-associated AF.Figure 3

Macrophage-secreted IL-1β mediated DM-associated AF. (A) Atrial IL-1β level by immunoblotting was significantly lowered in macrophage depleted DM mice treated with clodronate liposomes compared with that in the plain liposome-treated DM mice. Representative immunoblotting images were shown. N = 5–6 mice per group. (B) Macrophage depletion by clodronate liposomes inhibited AF inducibility in DM mice. N is indicated within bars. Data are shown as the mean ± SEM. One-way ANOVA with Bonferroni’s post hoc tests (A) or Fisher’s exact test (B) were used. *P < 0.05, **P < 0.01. AF, atrial fibrillation; Ctrl, control; DM, diabetes mellitus.

A mitochondria-targeted antioxidant eliminated AF risk in DM mice. AF is related to increased oxidative stress (14), and oxidative stress is considered a central mediator of AF (15). Mitochondria are the major ROS source in cardiomyocytes (CMs) (16) and mitoROS promotes AF (17). We have previously reported increased mitoROS levels in the ventricular CMs of DM mice and that IL-1β raises the mitoROS level of ventricular CMs in a dose-dependent response (8). Similar to that in DM ventricles, we found that the mitoROS level was more than doubled in DM atrial CMs (Figure 4, A and B, 100% ± 12% in control vs. 266% ± 14% in DM, P < 0.0001). A mitochondria-specific antioxidant, mitoTEMPO, was administered to DM mice for 2 weeks. At the end of the treatment, the atrial CM mitoROS level was significantly lowered (Figure 4, A and B, 138% ± 15%, P < 0.0001 vs. DM), and AF inducibility was completely inhibited by mitoTEMPO (Figure 1G, P = 0.005). In addition, mitoTEMPO reduced CD68 expression in DM atria (Figure 4C, 0.98 ± 0.25 CD68/vinculin in DM vs. 0.27 ± 0.02 CD68/vinculin in DM + mitoTEMPO, P = 0.048), suggesting reduced macrophage infiltration caused by inhibiting mitoROS. These data implied the involvement of atrial mitoROS in DM-associated AF risk and a positive feedback loop between mitoROS and atrial macrophage infiltration.

A mitochondrial antioxidant reduced AF inducibility.Figure 4

A mitochondrial antioxidant reduced AF inducibility. (A) Representative confocal microscopy images showing mitoROS in atrial cardiomyocytes by MitoSOX Red staining. Scale bar: 20 μm. (B) MitoSOX intensity was increased in DM atrial cardiomyocytes and reversed by mitochondrial antioxidant, mitoTEMPO. The atrial cardiomyocytes were isolated from 3 mice per group. (C) MitoTEMPO reduced the CD68 expression in DM atria. Representative immunoblotting images are shown. N = 3 mice per group. Data are shown as the mean ± SEM. One-way ANOVA with Bonferroni’s post hoc tests (B) or unpaired t test (C) were used. *P < 0.05, ***P < 0.001. Ctrl, control; DM, diabetes mellitus; MT, mitoTEMPO; mitoROS, mitochondrial reactive oxygen species.

Cardiac RyR2 Ca2+ leakage increased DM-associated AF risk. AF is associated with increased Ca2+ release from sarcoplasmic reticulum (SR), and RyR2 is the major Ca2+ release channel in the SR of CMs (18, 19). Phosphorylation of RyR2 at Ser2814 by activated Ca2+/calmodulin-dependent protein kinase II (CaMKII) increases SR Ca2+ leak in human AF (20). MitoROS activates CaMKII by oxidation with consequent RyR2 (Ser2814) phosphorylation (21). We therefore tested whether CaMKII oxidation-mediated RyR2 Ca2+ leakage was involved in DM-associated AF. In DM mice, the atrial expression of oxidized CaMKII (oxi-CaMKII) (Figure 5, A and C, 1.35 ± 0.11 oxi-CaMKII/CaMKII in control vs. 2.36 ± 0.38 oxi-CaMKII/CaMKII in DM, P = 0.035) as well as phosphorylated RyR2 (Ser2814) (Figure 5, B and C, 0.72 ± 0.14 p-RyR2 (Ser2814)/RyR2 in control vs. 1.44 ± 0.18 p-RyR2 (Ser2814)/RyR2 in DM, P = 0.013) were increased when compared with those of the control mice. More importantly, treating mice with S107, a RyR-calstabin interaction stabilizer, to reduce SR Ca2+ leak, significantly improved AF inducibility in DM mice (Figure 5D, P = 0.028). These data indicated that RyR2 Ca2+ leak, possibly mediated by phosphorylation via oxi-CaMKII, contributed to the increased AF vulnerability in DM.

RyR2-mediated sarcoplasmic reticulum Ca2+ leak contributed to DM-associatedFigure 5

RyR2-mediated sarcoplasmic reticulum Ca2+ leak contributed to DM-associated AF. (A) Oxidized CaMKII and (B) phosphorylated RyR2 (Ser2814) levels determined by immunoblotting were increased in DM mouse atria. N = 5 mice per group. (C) Representative Western blot images of oxidized CaMKII, total CaMKII, p-RyR2-Ser2814, and total RyR2. (D) The RyR-calstabin interaction stabilizer S107 improved AF inducibility. N is indicated within bars. Data are shown as the mean ± SEM. Unpaired t test (A and B) or Fisher’s exact test (D) were used. *P < 0.05. AF, atrial fibrillation; oxi-CaMKII, oxidized Ca2+/calmodulin-dependent protein kinase II; Ctrl, control; DM, diabetes mellitus; RyR2, ryanodine receptor 2.

Atrial MCP-1 overexpression led to AF in normal mice via the same signaling cascade. To further confirm the association between macrophages and AF, atria-specific adeno-associated viral vectors (serotype 9 [AAV9] with the promoter of atrial natriuretic factor) were intravenously administered into otherwise normal mice. As shown in Figure 6, A and B, MCP-1 levels were specifically upregulated in the atria CMs (0.72 ± 0.20 atrial MCP-1/vinculin in AAV9-plain vs. 1.47 ± 0.07 atrial MCP-1/vinculin in AAV9-MCP-1, P = 0.012) without a change in the ventricles (Figure 6, A and C, 1.12 ± 0.25 ventricle MCP-1/vinculin in AAV9-plain vs. 1.29 ± 0.31 ventricle MCP-1/vinculin in AAV9-MCP-1, P = 0.676). MCP-1 attracts macrophages mostly through the interaction with their receptor CCR2 (11), and previously, we have reported that MCP-1 and CCR2+ macrophages are increased in DM hearts (9). Consistent with this previous result, we found that Ccr2 gene expression was significantly enhanced in MCP-1–overexpressing atria (Figure 6D, 0.38 ± 0.04 2–ΔCt in AAV9-plain vs. 0.65 ± 0.11 2–ΔCt in AAV9-MCP-1, P = 0.048), implying increased CCR2+ macrophage infiltration. Concurrently, atrial MCP-1 overexpression (OE) mice were more prone to inducible AF. As shown in Figure 6E, 11 of 14 MCP-1 OE mice were AF inducible compared with only 2 of 12 control mice injected with AAV9 plain vector (P = 0.005). These results indicated that atrial MCP-1 OE increased AF vulnerability, presumably via inducing macrophage infiltration.

Atrial MCP-1 overexpression increased AF risk in normal mice.Figure 6

Atrial MCP-1 overexpression increased AF risk in normal mice. (A) Representative immunoblotting images of MCP-1 expression in mouse atria and ventricles 1 month after AAV9 vector injection. (B) Atrial but not (C) ventricular MCP-1 levels were elevated in the mice receiving AAV9-ANF-MCP-1 vector injection. (D) Atrial Ccr2 mRNA level was increased in the MCP-1–overexpressing mice. N = 7–8 mice per group. (E) MCP-1 atrial overexpressing mice exhibited high AF inducibility. N is indicated within the bars. Data are shown as the mean ± SEM. Unpaired t test (B–D) or Fisher’s exact test (E) were used. *P < 0.05, **P < 0.01. AAV9, adeno-associated virus serotype 9; AF, atrial fibrillation; ANF, atrial natriuretic factor; MCP-1, monocyte chemoattractant protein-1.

Moreover, a similar signaling cascade as observed in DM atria was present in MCP-1 OE mice. The mitoROS level was elevated by 1.5-fold in atrial CMs from MCP-1 OE mice (Figure 7A, P = 0.0008) compared with that in the AAV9-plain vector–treated mice. Both oxi-CaMKII and phosphorylated RyR2 (Ser2814) were significantly higher in MCP-1 OE atria than in control atria. The oxi-CaMKII increased from 1.21 ± 0.12 oxi-CaMKII/CaMKII in control mice to 1.94 ± 0.10 oxi-CaMKII/CaMKII in MCP-1 OE mice (Figure 7, B and D, P = 0.002), and p-RyR2 (Ser2814) increased from 0.73 ± 0.12 p-RyR2 (Ser2814)/RyR2 in control mice to 2.60 ± 0.79 p-RyR2 (Ser2814)/RyR2 in MCP-1 OE mice (Figure 7, C and D, P = 0.047). These data suggested that, similar to DM-associated AF, mitoROS-mediated RyR2 modification linked the inflammation and AF in MCP-1 OE mice.

Cardiac characterization of atrial MCP-1–overexpressing mice.Figure 7

Cardiac characterization of atrial MCP-1–overexpressing mice. (A) MitoSOX intensity was enhanced in the atrial cardiomyocytes overexpressing MCP-1. The atrial cardiomyocytes were isolated from 2 mice per group. (B) Oxi-CaMKII and (C) p-RyR2 (Ser2814) levels were increased in MCP-1–overexpressing atria. (D) Representative immunoblotting images of oxidized CaMKII, total CaMKII, p-RyR2-Ser2814, and total RyR2. (E–G) Echocardiographic evaluation of EF, E/E′, and left atrial diameter, respectively. (H) Atrial collagen I level in AAV9-plain and AAV9-MCP-1 vector–treated mice. N = 4–9 mice per group. Data are shown as the mean ± SEM. Unpaired t test (A–C and E–H) was used. *P < 0.05, **P < 0.01, ***P < 0.001. AAV9, adeno-associated virus serotype 9; AF, atrial fibrillation; E/E′, ratio of transmitral Doppler early filling velocity to tissue Doppler early diastolic mitral annual velocity; EF, ejection fraction; LA, left atrium; MCP-1, monocyte chemoattractant protein-1; oxi-CaMKII, oxidized Ca2+/calmodulin-dependent protein kinase II; RyR2, ryanodine receptor 2.

In contrast to DM mice where AF risk may have been encouraged by cardiac diastolic dysfunction, both cardiac systolic (Figure 7E, ejection fraction, 55% ± 2% in control mice vs. 52 ± 2% in MCP-1 OE mice, P = 0.366) and diastolic function (Figure 7F, E/E′, 16.5 ± 0.6 in control vs. 15.3 ± 1.6 in MCP-1 OE, P = 0.467) were preserved in MCP-1 OE mice (Supplemental Table 2). Although the left atrium was slightly enlarged (Figure 7G, 1.9 ± 0.1 mm in control vs. 2.3 ± 0.1 mm in MCP-OE mice, P = 0.023), atrial collagen level was not altered by MCP-1 OE (Figure 7H, 1.7 ± 0.1 collagen I/GAPDH in control mice vs. 1.6 ± 0.1 collagen I/GAPDH in MCP-1 OE mice, P = 0.853). These results indicated that inflammation-mediated AF risk was independent of cardiac function.

Discussion

In this study, we found that DM caused AF vulnerability accompanied by enhanced atrial MCP-1 and IL-1β levels, increased atrial macrophage infiltration, and elevated mitoROS production and RyR2 phosphorylation in atrial CMs. Neutralizing IL-1β, depleting macrophages, scavenging mitoROS, or blocking Ca2+ leak from RyR2 channels improved AF vulnerability in DM mice. The above signaling cascade was further confirmed in the atrial specific MCP-1–overexpressing mice in which AF risk was significantly enhanced. Taken together, these findings indicated that activated innate immunity contributed to the DM-associated AF tendency via IL-1β–mediated atrial electrical remodeling of RyR2 through mitoROS modulation.

Both DM and AF are associated with inflammation (22–25). DM is well known as a chronic inflammatory disease. Activation of the innate immune response is closely involved in the pathogenesis of type II DM (26). Macrophages are a major component of innate immunity and the major immune cell population in hearts (27, 28). Patients with type II DM present with higher plasma MCP-1 levels and increased CD68+ macrophages in the atrial myocardium when compared with patients without DM (29, 30). Macrophages can adopt proinflammatory or antiinflammatory phenotype, and DM favors the proinflammatory macrophages (31).

There is considerable evidence to suggest that macrophages can contribute to AF (32). The main population of immune cells in human left atrial appendages of patients with AF are active monocytes/macrophages (27, 33). Increased MCP-1 and proinflammatory macrophage infiltration in atria have been reported in both humans and animals with AF (33–39). Blocking monocyte recruitment reduces atrial macrophage infiltration and lowers the incidence of hypertension-induced AF (40). Increased macrophage proinflammatory polarization (Inos+ and Arg1–) is found in the mouse and canine atria after LPS was used to induce AF (41). We and others have reported a similar role of macrophages on the risk of diabetic ventricular arrhythmic (8, 42). Therefore, macrophage-mediated inflammation may be a key link between DM and arrhythmia.

In the current study, we found enhanced MCP-1 and macrophage infiltration in the DM mouse atria (Figure 2, A and B, and Supplemental Figure 2). The increased IL-1β in diabetic atria (Figure 2C) and the upregulated gene expression of CCR2, a proinflammatory macrophage marker, in MCP-1–overexpressing atria (Figure 6D) support that the accumulated macrophages in DM atria were proinflammatory. That is consistent with our previous report of an increased shift toward proinflammatory macrophages in the ventricles of the same DM mouse model (9). Moreover, we observed that depleting macrophages attenuated DM-associated AF vulnerability (Figure 3B), and atrial specific overexpression of MCP-1 induced AF in normal mice (Figure 6E), suggesting the central contribution of proinflammatory macrophages in DM-associated AF.

Although macrophage depletion was sufficient to reduce arrhythmic risk, we cannot rule out a role for other inflammatory cell types in DM-associated AF. In another report, neutrophils are a main ROS source and play a profibrotic role in AF genesis, and T cells and B cells contribute to AF via regulating innate immunity and producing autoantibodies, respectively (27). Those 3 leukocyte subsets have been found to be involved in diabetic cardiomyopathy (31, 43).

Proinflammatory macrophages secrete inflammatory cytokines, such as IL-1β, IL-6, and TNF-α, all of which are elevated in patients with AF or associated with the outcome of AF (44–49). Elevated IL-1β level is an independent risk factor for persistent AF in patients after coronary artery bypass grafting surgery (45). AF is remarkably associated with elevated IL-6 in the patients with coronary artery disease, chronic obstructive pulmonary disease, chronic kidney diseases, and many other systemic inflammatory diseases (49–51). High levels of TNF-α are reported in patients with valvular AF (52). In LPS-induced AF, proinflammatory macrophages induce atrial electrical remodeling through IL-1β and TNF-α (41). In our DM mouse model, we showed that DM-associated AF was at least partially mediated by macrophage-secreted IL-1β, as evidenced by the efficacy of macrophage depletion and IL-1β neutralization in blocking AF (Figure 1G and Figure 3B). Nevertheless, we did not rule out the role of other cytokines in DM-associated AF. Furthermore, we did not examine other cell sources of IL-1β. For example, CMs can also release inflammatory cytokines through the activation of the NLRP3 (NACHT, LRR, and PYD domain containing protein 3) inflammasome that may contribute to the proclivity for AF (53). Nevertheless, in the present study, macrophage depletion normalized atrial IL-1β levels (Figure 3A), establishing macrophages as the main source of IL-1β in DM atria.

Furthermore, we investigated the mechanism whereby IL-1β causes AF in DM. IL-1β is known to activate mitoROS (54–56). In obesity and DM, oxidative stress is a central mediator of AF (15). In atrial tissue, increased mitoROS is observed in patients with AF and animal models of AF (17, 57, 58). MitoROS can cause AF through promotion of SR Ca2+ leak via RyR2 oxidation or CaMKII-mediated phosphorylation (17, 59, 60). CaMKII can be activated by mitoROS via oxidation (15, 61, 62), and oxi-CaMKII is elevated in AF atria (63). We have similar observations that DM elevated mitoROS production and CaMKII oxidation in atria and led to increased RyR2 phosphorylation (Figure 4 and Figure 5). A mitochondrial antioxidant protected DM mice from inducible AF (Figure 1G), providing additional proof of a redox mechanism in DM-associated AF. In addition to redox modulation of intracellular Ca2+ homeostasis, mitoROS can also promote AF through perpetuating inflammation via activating the NLRP3 inflammasome and driving release of inflammatory cytokines, such as IL-1β and IL-18 (64). This is reflected in our finding that scavenging mitoROS inhibited macrophage infiltration (Figure 4C), which is proof of a vicious positive feedback loop between mitoROS and macrophage-mediated inflammation in the development of DM-associated AF.

The suppression of DM-associated AF risk by RyR2 stabilization (S107) indicated the contribution of RyR2 channels to AF in DM, potentially by oxi-CaMKII–mediated phosphorylation (Figure 5). Similarly, Mesubi et al. reported that diabetic AF is dependent on oxi-CaMKII–activated RyR2 Ca2+ leak (65). Nevertheless, we cannot rule out the possibility of direct RyR2 oxidation by ROS leading to the pathogenesis of AF, as reported by Xie et al. (17).

IL-1β can also contribute to AF by affecting other cardiac ion channels or atrial fibrosis (41, 46, 66). In LPS-induced AF, IL-1β contributes to the atrial electrical remodeling by leading to downregulated L-type calcium channel currents and decreased atrial effective refractory period (41). Inhibiting IL-1β–induced atrial fibrosis prevents postoperative AF (66). In our DM mouse model, atrial fibrosis was not a potent contributor to AF because atrial collagen level was not altered (Figure 1F and Supplemental Figure 1). Instead, our data suggest RyR2-mediated Ca2+ leak as a potential trigger mechanism for AF initiation (Figure 5). Nevertheless, the roles of other types of electrical remodeling in DM-associated AF were not examined and need further clarification.

Previously, we have investigated the inflammatory mechanism in DM-associated ventricular arrhythmic risk and diastolic dysfunction (8, 9). In the present study, we found that DM-associated AF shared a common mechanistic signaling cascade with diabetic diastolic dysfunction as well as ventricular arrhythmic risk, namely MCP-1 elevation, macrophage infiltration, IL-1β secretion, mitoROS overproduction, and posttranslational modification of target proteins. This finding is consistent with the epidemiological association of AF and diastolic heart failure (67). A recent randomized double-blind placebo-controlled clinical trial (the CANTOS trial) showed that antiinflammatory therapy with an IL-1β–specific antibody (canakinumab) substantially reduced cardiovascular events (68), supporting our conclusion that IL-1β is a key signaling component in DM-associated cardiovascular complications.

It must be recognized that mice may not be an ideal model of human electrophysiological diseases. Mouse cardiac physiology differs from that of humans in aspects such as heart size, basal heart rate, action potential duration, and ionic currents for CM repolarization (69). Thus, extrapolating mouse data for human electrophysiological implications needs to be done cautiously.

In summary, DM results in activation of a cardiac innate immune response associated with increased AF risk. AF vulnerability could be ameliorated by depleting macrophages, antagonizing IL-1β, scavenging mitoROS, or inhibiting SR Ca2+ leak. Each of these approaches represents a possible new therapy for preventing DM-associated AF risk.

Methods

Sex as a biological variable. Our study only examined male diabetic mice, as female C57BL/6J mice were less susceptible to HFD-induced DM (70). For mice overexpressing MCP-1 in atria in this study, both male and female mice were used, and similar findings were observed in both sexes.

Animal experimental protocol. DM was induced by feeding male C57BL/6J mice (The Jackson Laboratory) with HFD (60 kcal% fat, Research Diet) starting at 6 weeks of age, and DM was confirmed by fasting blood glucose level using a glucometer (ACCU-CHEK, Roche Applied Science). Sex- and age-matched C57BL/6J mice, fed with regular chow (Harlan), were used as controls. At the age of 34–36 weeks, all DM mice were randomly assigned to one of the following 4 treatments: (a) intraperitoneal injection of 300 μg IL-1β–neutralizing antibodies (BioLegend) every 3 days for 2 weeks to suppress IL-1β; (b) a bolus intravenous injection of 0.25 mL clodronate liposomes (reconstituted with 4.7 mL sterile water, FormuMax Scientific Inc.), followed by intraperitoneal injection of 0.3 mL clodronate liposomes biweekly for 2 weeks to deplete macrophages; (c) daily intraperitoneal injection of 1 mg/kg mitoTEMPO (2-(2,2,6,6-tetramethyl-piperidin-1-oxyl-4-ylamino)-2-oxoethyl-triphenylphosphonium chloride, Enzo Life Sciences) for 2 weeks to scavenge mitoROS; and (d) subcutaneous injection of 60 mg/kg S107 (Millipore) for 1 week. S107 is known to inhibit resting Ca2+ leak through the SR Ca2+ release channel, RyR2 (71). USP sterile water or plain liposome injection was used as a placebo control.

A group of normal C57BL/6J mice (male and female, The Jackson Laboratory) were intravenously injected with AAV9 (5 × 1011 genome copies/mouse) at the age of 9 weeks. The AAV9 vector (VectorBuilder Inc.) is driven by atrial natriuretic factor promoter to overexpress MCP-1 specifically in atrial CMs. The sex- and age-matched control mice were injected with the same copy number of AAV9-EGFP control virus.

All subsequent tests were performed at 36–38 weeks of age or at 1 month after virus injection.

Echocardiographic evaluation of cardiac function. Echocardiography was performed using the Vevo 2100 (VisualSonics) ultrasound system as in previous studies (9). Mice were anesthetized with 1%–2% isoflurane in oxygen at 1 L/min with the body temperature and the heart rate maintained at 37°C–38°C and above 400 bpm, respectively, during the scan. B-mode images along the left ventricular parasternal long axis and then M-mode images at the mid-papillary levels were obtained to calculate ejection fraction and chamber size. E/E′ was assessed in the subcostal 4-chamber view by pulsed-wave and tissue Doppler imaging to evaluate diastolic function. Measurements were averaged from 5 consecutive beats during expiration.

Programmed intracardiac stimulation. Programmed intracardiac stimulation was performed to assess AF inducibility as described previously (72). A standard limb ECG was recorded from subcutaneously inserted needle electrodes. Atrial and ventricular intracardiac electrograms were recorded using a 1.1 F Millar electrophysiology catheter (Millar Instruments) advanced through the right jugular vein into the right ventricle. Surface and intracardiac electrophysiology parameters were recorded at sampling rate of 4,000 Hz. Right atrial pacing was performed using 2-millisecond current pulses delivered by an external stimulator (STG2004, Multi Channel Systems) along with MCStimulus software (Multichannel System). AF was induced by an overdrive pacing protocol, starting with 2-second burst pacing at a cycle length of 40 milliseconds and decreasing in each successive burst by a 2-millisecond decrement to a cycle length of 10 milliseconds. Inducible AF was defined as the occurrence of rapid, fragmented atrial electrograms with irregular R-R intervals lasting at least 1 second. To determine whether AF inducibility was reproducible, mice were subjected to the same atrial burst-pacing protocols 3 times, and only the mice that exhibited evoked AF ≥2 times by pacing were considered AF positive. The programmed pacing was performed in a blinded manner.

Immunoblot analysis. Briefly, the cardiac tissue from both atria were homogenized with tissue protein extraction reagent (Thermo Fisher Scientific) and protease/phosphatase inhibitor cocktail (Thermo Fisher Scientific). Proteins were separated on SDS-PAGE gels and transferred to 0.2 μm polyvinyl difluoride membranes. After incubation with 5% nonfat milk for 1 hour at room temperature, the membranes were incubated with the corresponding primary antibodies overnight at 4°C (Cell Signaling Technology: anti-MCP-1, 2029; anti- IL-1β, 12242; anti-CD68, 97778; and anti-Vinculin, 4650; Millipore Sigma: anti–oxi-CaMKII, 07-1387; Abcam: anti-GAPDH, ab9484 and anti-CaMKII, ab52476; Badrilla: anti-RyR2 (pSer2814), A010-31; Thermo Fisher Scientific, anti-RyR2, MA3-916), followed by incubation with appropriate horseradish peroxidase–conjugated secondary antibodies for 1 hour at room temperature. Bound antibodies were visualized by chemiluminescence detection and optical density of the bands was analyzed with Image Lab Software (Bio-Rad Laboratories). The quantification data were exhibited as a ratio between target protein and housekeeping protein and normalized to the respective control.

Quantitative real-time PCR. Total RNA was extracted from the left and right atrial tissues utilizing the RNeasy Plus Mini Kit (Qiagen) according to the manufacturer’s instructions. The purity and concentration of the isolated RNA were assessed spectrophotometrically. Subsequent to extraction, reverse transcription was conducted to synthesize cDNA from the total RNA using the High-Capacity cDNA Reverse Transcription Kit (Thermo Fisher Scientific), following the protocol provided by the manufacturer. Quantitative PCR assays were performed to evaluate the expression levels of specific genes. These assays were carried out using the PowerUp SYBR Green Master Mix (Applied Biosystems) on a 7500Fast Real-Time PCR System (Applied Biosystems). Specific primer sets were employed to amplify target gene sequences (mouse Ccr2 forward primer – GCTGTGTTTGCCTCTCTACCAG, reverse primer – CAAGTAGAGGCAGGATCAGGCT; mouse Gapdh forward primer – CTTCAACAGCAACTCCCACTCTT, reverse primer – TGTCATACCAGGAAATGAGCTTGA). The relative gene expression levels were calculated using the 2–ΔCt method, with normalization to endogenous control gene expression to account for variability in cDNA input levels.

Atrial CM isolation. Atrial CMs were isolated as described previously (8). Briefly, hearts were excised under isoflurane (2%) anesthesia and perfused with buffer (in mM: 113 NaCl, 4.7 KCl, 0.6 Na2HPO4, 0.6 KH2PO4, 1.2 MgSO4, 0.032 Phenol Red, 12 NaHCO3, 10 KHCO3, 10 HEPES, 30 Taurine, 10 2–3-butanedione monoxime) for 7 minutes at a flow rate of 2.8 mL/min using a temperature controlled Langendorff perfusion system, followed by collagenase II perfusion (1.3 mg/mL, Worthington Biochemical Co.) for 10 minutes at 37°C. Both left and right atria were collected, gently cut into small pieces, and dissociated into single cells by pipetting. CMs were separated from interstitial cells by settling for 10 minutes. The cell pellet was then collected for mitoROS measurement.

MitoSOX Red staining and mitoROS measurement. MitoROS was measured in the isolated atrial CMs by an inverted confocal laser scanning microscope (Olympus Life Science Solutions Americas Corp.) as described previously (73). Briefly, isolated CMs were resuspended in standard Tyrode’s solution, containing (in mmol/L) 140 NaCl, 5.4 KCl, 1 MgCl2, 10 HEPES, 1.8 CaCl2, and 5.5 glucose (pH 7.4), with serially increasing Ca2+ concentrations (0.2, 0.5, and 1 mM), before treated with MitoSOX Red (5 μM; Thermo Fisher Scientific) for 10 minutes at 37°C in a 95%/5% O2/CO2 incubator. MitoSOX was excited by laser at 514 nm, and the emission was collected at 560 nm. Digital images were taken at 2,048 × 2,048 pixels using ×40 objective lens with <1 μm optical sections. The relative MitoSOX Red mean fluorescent intensity was obtained from the subtraction between the mean fluorescent intensity of the cells and the background of the same images with ImageJ Fiji Software, normalized to the respective control.

Statistics. Continuous data were presented as mean ± SEM. For the dot plots, the lines indicated the mean values, and the error bars indicated SEM. Data were analyzed using a 2-tailed Student’s t test or 1-way ANOVA with Bonferroni’s post hoc tests for multiple pairwise comparisons. Categorical data were compared using Fisher’s exact test. All statistical analyses were performed with GraphPad Prism 5.0. A P value of less than 0.05 was considered statistically significant.

Study approval. Animal care and interventions were provided in accordance with the NIH Guide for the Care and Use of Laboratory Animals (National Academies Press, 2011), and all animal protocols were approved by the Institutional Animal Care and Use Committee of the University of Minnesota.

Data availability. Values for all data points in the graphs can be found in the Supporting Data Values file.

Author contributions

XZ designed the study; conducted most of the animal experiments, part of the immunoblot tests,and mitoROS measurements on control and DM CMs; analyzed data; interpreted results; and wrote the manuscript. HL conducted glucose tests, AAV9 vector injection, echocardiography, programmed intracardiac stimulation on MCP-1–overexpressing mice, CM isolation, and part of the immunoblot tests; analyzed data; interpreted results; and wrote the main body of the manuscript. Because XZ designed, initiated, and obtained the data for the original experiments, she was listed first; however, the amount of work done by XZ and HL for this manuscript was ultimately equivalent. Both authors agreed to this author order. GJK conducted AAV9 vector design and qRT-PCR assay. ML measured mitoROS on MCP-1–overexpressing and control CMs. FF conducted CMs isolation and intravenous injection of AAV9 vectors. YG conducted postsurgical animal care and assisted with immunoblotting. SCD designed and supervised the study, interpreted results, provided project resources, and wrote the manuscript. All authors reviewed and commented on the manuscript.

Supplemental material

View Supplemental data

View Supporting data values

Acknowledgments

This study was supported by National Heart, Lung, and Blood Institute grants R56HL162208 and R01HL165704.

Address correspondence to: Samuel C. Dudley Jr., Division of Cardiology, University of Minnesota, VCRC 286 – MMC 508, 420 Delaware St., SE, Minneapolis, Minnesota 55455, USA. Phone: 612.624.8970; Email: sdudley@umn.edu.

Footnotes

Conflict of interest: The authors have declared that no conflict of interest exists.

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

Reference information: JCI Insight. 2024;9(15):e171102.https://doi.org/10.1172/jci.insight.171102.

References
  1. Silva JAD, et al. Diagnosis of diabetes mellitus and living with a chronic condition: participatory study. BMC Public Health. 2018;18(1):699.
    View this article via: CrossRef PubMed Google Scholar
  2. Xiong Z, et al. A machine learning aided systematic review and meta-analysis of the relative risk of atrial fibrillation in patients with diabetes mellitus. Front Physiol. 2018;9:835.
    View this article via: CrossRef PubMed Google Scholar
  3. Bohne LJ, et al. The association between diabetes mellitus and atrial fibrillation: clinical and mechanistic insights. Front Physiol. 2019;10:135.
    View this article via: CrossRef PubMed Google Scholar
  4. Writing Group M, et al. Heart Disease and Stroke Statistics-2016 Update: a report from the American Heart Association. Circulation. 2016;133(4):e38–360.
    View this article via: CrossRef PubMed Google Scholar
  5. Andrade J, et al. The clinical profile and pathophysiology of atrial fibrillation: relationships among clinical features, epidemiology, and mechanisms. Circ Res. 2014;114(9):1453–1468.
    View this article via: CrossRef PubMed Google Scholar
  6. Wang A, et al. Atrial fibrillation and diabetes mellitus: JACC Review Topic of the Week. J Am Coll Cardiol. 2019;74(8):1107–1115.
    View this article via: CrossRef PubMed Google Scholar
  7. Zhang Q, et al. Diabetes mellitus and atrial remodeling: mechanisms and potential upstream therapies. Cardiovasc Ther. 2014;32(5):233–241.
    View this article via: CrossRef PubMed Google Scholar
  8. Liu H, et al. Interleukin-1β, oxidative stress, and abnormal calcium handling mediate diabetic arrhythmic risk. JACC Basic Transl Sci. 2021;6(1):42–52.
    View this article via: CrossRef PubMed Google Scholar
  9. Liu H, et al. Inflammatory macrophage interleukin-1β mediates high-fat diet-induced heart failure with preserved ejection fraction. JACC Basic Transl Sci. 2023;8(2):174–185.
    View this article via: CrossRef PubMed Google Scholar
  10. Jeong EM, et al. Role of mitochondrial oxidative stress in glucose tolerance, insulin resistance, and cardiac diastolic dysfunction. J Am Heart Assoc. 2016;5(5):e003046.
    View this article via: CrossRef PubMed Google Scholar
  11. Deshmane SL, et al. Monocyte chemoattractant protein-1 (MCP-1): an overview. J Interferon Cytokine Res. 2009;29(6):313–326.
    View this article via: CrossRef PubMed Google Scholar
  12. Kamei N, et al. Overexpression of monocyte chemoattractant protein-1 in adipose tissues causes macrophage recruitment and insulin resistance. J Biol Chem. 2006;281(36):26602–26614.
    View this article via: CrossRef PubMed Google Scholar
  13. Rosenberg MA, Manning WJ. Diastolic dysfunction and risk of atrial fibrillation: a mechanistic appraisal. Circulation. 2012;126(19):2353–2362.
    View this article via: CrossRef PubMed Google Scholar
  14. Neuman RB, et al. Oxidative stress markers are associated with persistent atrial fibrillation. Clin Chem. 2007;53(9):1652–1657.
    View this article via: CrossRef PubMed Google Scholar
  15. Karam BS, et al. Oxidative stress and inflammation as central mediators of atrial fibrillation in obesity and diabetes. Cardiovasc Diabetol. 2017;16(1):120.
    View this article via: CrossRef PubMed Google Scholar
  16. Hamilton S, et al. MCU overexpression evokes disparate dose-dependent effects on mito-ROS and spontaneous Ca2+ release in hypertrophic rat cardiomyocytes. Am J Physiol Heart Circ Physiol. 2021;321(4):H615–H632.
    View this article via: CrossRef PubMed Google Scholar
  17. Xie W, et al. Mitochondrial oxidative stress promotes atrial fibrillation. Sci Rep. 2015;5:11427.
    View this article via: CrossRef PubMed Google Scholar
  18. Hove-Madsen L, et al. Atrial fibrillation is associated with increased spontaneous calcium release from the sarcoplasmic reticulum in human atrial myocytes. Circulation. 2004;110(11):1358–1363.
    View this article via: CrossRef PubMed Google Scholar
  19. Marks AR, et al. Involvement of the cardiac ryanodine receptor/calcium release channel in catecholaminergic polymorphic ventricular tachycardia. J Cell Physiol. 2002;190(1):1–6.
    View this article via: CrossRef PubMed Google Scholar
  20. Neef S, et al. CaMKII-dependent diastolic SR Ca2+ leak and elevated diastolic Ca2+ levels in right atrial myocardium of patients with atrial fibrillation. Circ Res. 2010;106(6):1134–1144.
    View this article via: CrossRef PubMed Google Scholar
  21. Ho HT, et al. Ryanodine receptor phosphorylation by oxidized CaMKII contributes to the cardiotoxic effects of cardiac glycosides. Cardiovasc Res. 2014;101(1):165–174.
    View this article via: CrossRef PubMed Google Scholar
  22. Aviles RJ, et al. Inflammation as a risk factor for atrial fibrillation. Circulation. 2003;108(24):3006–3010.
    View this article via: CrossRef PubMed Google Scholar
  23. Hu YF, et al. Inflammation and the pathogenesis of atrial fibrillation. Nat Rev Cardiol. 2015;12(4):230–243.
    View this article via: CrossRef PubMed Google Scholar
  24. Donath MY, Shoelson SE. Type 2 diabetes as an inflammatory disease. Nat Rev Immunol. 2011;11(2):98–107.
    View this article via: CrossRef PubMed Google Scholar
  25. Tsalamandris S, et al. The role of inflammation in diabetes: current concepts and future perspectives. Eur Cardiol. 2019;14(1):50–59.
    View this article via: CrossRef PubMed Google Scholar
  26. Pickup JC. Inflammation and activated innate immunity in the pathogenesis of type 2 diabetes. Diabetes Care. 2004;27(3):813–823.
    View this article via: CrossRef PubMed Google Scholar
  27. Liu Y, et al. The role of immune cells in atrial fibrillation. J Mol Cell Cardiol. 2018;123:198–208.
    View this article via: CrossRef PubMed Google Scholar
  28. Lafuse WP, et al. Role of cardiac macrophages on cardiac inflammation, fibrosis and tissue repair. Cells. 2020;10(1):51.
    View this article via: CrossRef PubMed Google Scholar
  29. Piemonti L, et al. Association between plasma monocyte chemoattractant protein-1 concentration and cardiovascular disease mortality in middle-aged diabetic and nondiabetic individuals. Diabetes Care. 2009;32(11):2105–2110.
    View this article via: CrossRef PubMed Google Scholar
  30. Pierzynova A, et al. The number and phenotype of myocardial and adipose tissue CD68+ cells is associated with cardiovascular and metabolic disease in heart surgery patients. Nutr Metab Cardiovasc Dis. 2019;29(9):946–955.
    View this article via: CrossRef PubMed Google Scholar
  31. Kaur N, et al. Mechanisms and therapeutic prospects of diabetic cardiomyopathy through the inflammatory response. Front Physiol. 2021;12:694864.
    View this article via: CrossRef PubMed Google Scholar
  32. Hulsmans M, et al. Recruited macrophages elicit atrial fibrillation. Science. 2023;381(6654):231–239.
    View this article via: CrossRef PubMed Google Scholar
  33. Yamashita T, et al. Recruitment of immune cells across atrial endocardium in human atrial fibrillation. Circ J. 2010;74(2):262–270.
    View this article via: CrossRef PubMed Google Scholar
  34. He S, et al. Inhibition of KCa3.1 channels suppresses atrial fibrillation via the attenuation of macrophage pro-inflammatory polarization in a canine model with prolonged rapid atrial pacing. Front Cardiovasc Med. 2021;8:656631.
    View this article via: CrossRef Google Scholar
  35. Yamashita T, et al. Enlargement of the left atrium is associated with increased infiltration of immune cells in patients with atrial fibrillation who had undergone surgery. J Arrhythm. 2015;31(2):78–82.
    View this article via: CrossRef PubMed Google Scholar
  36. Lau DH, et al. Atrial arrhythmia in ageing spontaneously hypertensive rats: unraveling the substrate in hypertension and ageing. PLoS One. 2013;8(8):e72416.
    View this article via: CrossRef PubMed Google Scholar
  37. He G, et al. Increased M1 macrophages infiltration is associated with thrombogenesis in rheumatic mitral stenosis patients with atrial fibrillation. PLoS One. 2016;11(3):e0149910.
    View this article via: CrossRef PubMed Google Scholar
  38. Chen Y, et al. Analysis of infiltrated immune cells in left atriums from patients with atrial fibrillation and identification of circRNA biomarkers for postoperative atrial fibrillation. Front Genet. 2022;13:1003366.
    View this article via: CrossRef PubMed Google Scholar
  39. Begieneman MP, et al. Atrial fibrillation coincides with the advanced glycation end product N(ε)-(carboxymethyl)lysine in the atrium. Am J Pathol. 2015;185(8):2096–2104.
    View this article via: CrossRef PubMed Google Scholar
  40. Zhang YL, et al. Chemokine receptor CXCR-2 initiates atrial fibrillation by triggering monocyte mobilization in mice. Hypertension. 2020;76(2):381–392.
    View this article via: CrossRef PubMed Google Scholar
  41. Sun Z, et al. Cross-talk between macrophages and atrial myocytes in atrial fibrillation. Basic Res Cardiol. 2016;111(6):63.
    View this article via: CrossRef PubMed Google Scholar
  42. Monnerat G, et al. Macrophage-dependent IL-1β production induces cardiac arrhythmias in diabetic mice. Nat Commun. 2016;7:13344.
    View this article via: CrossRef PubMed Google Scholar
  43. Bajpai A, Tilley DG. The role of leukocytes in diabetic cardiomyopathy. Front Physiol. 2018;9:1547.
    View this article via: CrossRef PubMed Google Scholar
  44. Pinto A, et al. Immuno-inflammatory predictors of stroke at follow-up in patients with chronic non-valvular atrial fibrillation (NVAF). Clin Sci (Lond). 2009;116(10):781–789.
    View this article via: CrossRef PubMed Google Scholar
  45. Liu Q, et al. Increasing level of interleukin-1β in epicardial adipose tissue is associated with persistent atrial fibrillation. J Interferon Cytokine Res. 2020;40(1):64–69.
    View this article via: CrossRef PubMed Google Scholar
  46. Cabaro S, et al. Epicardial adipose tissue-derived IL-1β triggers postoperative atrial fibrillation. Front Cell Dev Biol. 2022;10:893729.
    View this article via: CrossRef PubMed Google Scholar
  47. Povar-Echeverria M, et al. Interleukin-6 could be a potential prognostic factor in ambulatory elderly patients with stable heart failure: results from a pilot study. J Clin Med. 2021;10(3):504.
    View this article via: CrossRef PubMed Google Scholar
  48. Liao J, et al. Interleukin-6-mediated-Ca2+ handling abnormalities contributes to atrial fibrillation in sterile pericarditis rats. Front Immunol. 2021;12:758157.
    View this article via: CrossRef Google Scholar
  49. Marcus GM, et al. Interleukin-6 and atrial fibrillation in patients with coronary artery disease: data from the Heart and Soul Study. Am Heart J. 2008;155(2):303–309.
    View this article via: CrossRef PubMed Google Scholar
  50. Grymonprez M, et al. Chronic obstructive pulmonary disease and the development of atrial fibrillation. Int J Cardiol. 2019;276:118–124.
    View this article via: CrossRef PubMed Google Scholar
  51. Lazzerini PE, et al. Systemic inflammation rapidly induces reversible atrial electrical remodeling: the role of interleukin-6-mediated changes in connexin expression. J Am Heart Assoc. 2019;8(16):e011006.
    View this article via: CrossRef PubMed Google Scholar
  52. Guo Y, et al. Inflammation in atrial fibrillation. J Am Coll Cardiol. 2012;60(22):2263–2270.
    View this article via: CrossRef PubMed Google Scholar
  53. Yao C, et al. Enhanced cardiomyocyte NLRP3 inflammasome signaling promotes atrial fibrillation. Circulation. 2018;138(20):2227–2242.
    View this article via: CrossRef PubMed Google Scholar
  54. Ansari MY, et al. Parkin clearance of dysfunctional mitochondria regulates ROS levels and increases survival of human chondrocytes. Osteoarthritis Cartilage. 2018;26(8):1087–1097.
    View this article via: CrossRef PubMed Google Scholar
  55. Hunter RL, et al. Inflammation induces mitochondrial dysfunction and dopaminergic neurodegeneration in the nigrostriatal system. J Neurochem. 2007;100(5):1375–1386.
    View this article via: CrossRef PubMed Google Scholar
  56. Shen J, et al. IL-1β induces apoptosis and autophagy via mitochondria pathway in human degenerative nucleus pulposus cells. Sci Rep. 2017;7:41067.
    View this article via: CrossRef PubMed Google Scholar
  57. Lin PH, et al. Oxidative damage to mitochondrial DNA in atrial muscle of patients with atrial fibrillation. Free Radic Biol Med. 2003;35(10):1310–1318.
    View this article via: CrossRef PubMed Google Scholar
  58. Shimano M, et al. Reactive oxidative metabolites are associated with atrial conduction disturbance in patients with atrial fibrillation. Heart Rhythm. 2009;6(7):935–940.
    View this article via: CrossRef PubMed Google Scholar
  59. Dries E, et al. Hyperactive ryanodine receptors in human heart failure and ischaemic cardiomyopathy reside outside of couplons. Cardiovasc Res. 2018;114(11):1512–1524.
    View this article via: CrossRef PubMed Google Scholar
  60. Li N, et al. Inhibition of CaMKII phosphorylation of RyR2 prevents induction of atrial fibrillation in FKBP12.6 knockout mice. Circ Res. 2012;110(3):465–470.
    View this article via: CrossRef PubMed Google Scholar
  61. Luczak ED, Anderson ME. CaMKII oxidative activation and the pathogenesis of cardiac disease. J Mol Cell Cardiol. 2014;73:112–116.
    View this article via: CrossRef PubMed Google Scholar
  62. Luo M, et al. Diabetes increases mortality after myocardial infarction by oxidizing CaMKII. J Clin Invest. 2013;123(3):1262–1274.
    View this article via: JCI CrossRef PubMed Google Scholar
  63. Purohit A, et al. Oxidized Ca2+/calmodulin-dependent protein kinase II triggers atrial fibrillation. Circulation. 2013;128(16):1748–1757.
    View this article via: CrossRef PubMed Google Scholar
  64. Marchi S, et al. Mitochondrial control of inflammation. Nat Rev Immunol. 2023;23(3):159–173.
    View this article via: CrossRef PubMed Google Scholar
  65. Mesubi OO, et al. Oxidized CaMKII and O-GlcNAcylation cause increased atrial fibrillation in diabetic mice by distinct mechanisms. J Clin Invest. 2021;131(2):e95747.
    View this article via: JCI CrossRef PubMed Google Scholar
  66. Wu Q, et al. Colchicine prevents atrial fibrillation promotion by inhibiting IL-1β-induced IL-6 release and atrial fibrosis in the rat sterile pericarditis model. Biomed Pharmacother. 2020;129:110384.
    View this article via: CrossRef PubMed Google Scholar
  67. Naser JA, et al. Prevalence and incidence of diastolic dysfunction in atrial fibrillation: clinical implications. Eur Heart J. 2023;44(48):5049–5060.
    View this article via: CrossRef PubMed Google Scholar
  68. Ridker PM, et al. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N Engl J Med. 2017;377(12):1119–1131.
    View this article via: CrossRef PubMed Google Scholar
  69. Berul CI. Electrophysiological phenotyping in genetically engineered mice. Physiol Genomics. 2003;13(3):207–216.
    View this article via: CrossRef PubMed Google Scholar
  70. Pettersson US, et al. Female mice are protected against high-fat diet induced metabolic syndrome and increase the regulatory T cell population in adipose tissue. PLoS One. 2012;7(9):e46057.
    View this article via: CrossRef PubMed Google Scholar
  71. Andersson DC, Marks AR. Fixing ryanodine receptor Ca leak - a novel therapeutic strategy for contractile failure in heart and skeletal muscle. Drug Discov Today Dis Mech. 2010;7(2):e151.
    View this article via: CrossRef PubMed Google Scholar
  72. Li N,, and Wehrens XHProgrammed electrical stimulation in mice. J Vis Exp. 2010;(39):1730.
    View this article via: CrossRef PubMed Google Scholar
  73. Mukhopadhyay P, et al. Simple quantitative detection of mitochondrial superoxide production in live cells. Biochem Biophys Res Commun. 2007;358(1):203–208.
    View this article via: CrossRef PubMed Google Scholar
Version history
  • Version 1 (June 18, 2024): In-Press Preview
  • Version 2 (August 8, 2024): Electronic publication

Article tools

  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal

Metrics

  • Article usage
  • Citations to this article

Go to

  • Top
  • Abstract
  • Introduction
  • Results
  • Discussion
  • Methods
  • Author contributions
  • Supplemental material
  • Acknowledgments
  • Footnotes
  • References
  • Version history
Advertisement
Advertisement

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts