| Literature DB >> 36109633 |
Dobromir Dobrev1,2,3, Stanley Nattel4,5,6,7, Jordi Heijman8, Roddy Hiram2, Na Li3,9,10.
Abstract
Inflammation has been implicated in atrial fibrillation (AF), a very common and clinically significant cardiac rhythm disturbance, but its precise role remains poorly understood. Work performed over the past 5 years suggests that atrial cardiomyocytes have inflammatory signalling machinery - in particular, components of the NLRP3 (NACHT-, LRR- and pyrin domain-containing 3) inflammasome - that is activated in animal models and patients with AF. Furthermore, work in animal models suggests that NLRP3 inflammasome activation in atrial cardiomyocytes might be a sufficient and necessary condition for AF occurrence. In this Review, we evaluate the evidence for the role and pathophysiological significance of cardiomyocyte NLRP3 signalling in AF. We first summarize the evidence for a role of inflammation in AF and review the biochemical properties of the NLRP3 inflammasome, as defined primarily in studies of classic inflammation. We then briefly consider the broader evidence for a role of inflammatory signalling in heart disease, particularly conditions that predispose individuals to develop AF. We provide a detailed discussion of the available information about atrial cardiomyocyte NLRP3 inflammasome signalling in AF and related conditions and evaluate the possibility that similar signalling might be important in non-myocyte cardiac cells. We then review the evidence on the role of active resolution of inflammation and its potential importance in suppressing AF-related inflammatory signalling. Finally, we consider the therapeutic potential and broader implications of this new knowledge and highlight crucial questions to be addressed in future research.Entities:
Year: 2022 PMID: 36109633 PMCID: PMC9477170 DOI: 10.1038/s41569-022-00759-w
Source DB: PubMed Journal: Nat Rev Cardiol ISSN: 1759-5002 Impact factor: 49.421
Examples of inflammatory conditions associated with clinical AF
| Study | Study design | Number of patients | AF phenotype | Other clinical findings | Ref. |
|---|---|---|---|---|---|
| Walkey et al. (2011) | Retrospective cohort from the California State Inpatient Database | 3,144,787 (patients with pre-existing AF were excluded) | Increase in new-onset AF in patients with versus without severe sepsis (OR 6.82); sepsis present in 14% of patients with new-onset AF | Risk factors for AF: advanced age, male sex, white ethnicity, HF, obesity, renal failure; increased risk of stroke (OR 2.7) and in-hospital death (OR 1.07) in patients with severe sepsis and new-onset AF | [ |
| Walkey et al. (2013) | Representative 5% sample from Medicare beneficiaries in the USA | – | 25.5% of patients had an AF diagnosis during the hospitalization for sepsis; 7.2% had new-onset AF | Risk factors for AF: advanced age, white ethnicity; no association with cardiovascular risk factors | [ |
| Kuipers et al. (2014) | Systematic review including 11 studies (studies primarily focused on postcardiotomy were excluded) | – | The incidence of new-onset AF was 8%, 10% and 23% in critically ill patients with sepsis, severe sepsis or septic shock, respectively | Risk factors for AF: advanced age, white ethnicity, organ failure, pulmonary artery catheter use; increased mortality (five studies) and risk of stroke (one study) in patients with new-onset AF and sepsis | [ |
| Walkey et al. (2014) | Representative 5% sample from Medicare beneficiaries who survived hospitalization for sepsis in the USA | 133,722 | 24% had previous AF and 7% had new-onset AF | Increased long-term (5-year) risk of HF hospitalization, ischaemic stroke and death in patients with new-onset AF during sepsis | [ |
| Walkey et al. (2016) | Retrospective cohort study in patients with AF during sepsis in the USA | 39,693 | – | Reduced in-hospital mortality when AF during sepsis was treated with β-blockers compared with Ca2+ channel blockers, digoxin or amiodarone | [ |
| Koyfman et al. (2015) | Retrospective cohort study in patients with sepsis in an intensive care unit in Israel | 200 | 81 patients (40.5%) had new-onset AF, of whom 44 (54.3%) had a history of AF | In-hospital mortality was similar between patients with new-onset AF and those with previous AF | [ |
| Klein Klouwenberg et al. (2017) | Retrospective cohort study in patients with sepsis in Netherlands | 1,782 | The cumulative risk of new-onset AF was 10%, 22% and 40% in patients with sepsis, severe sepsis and septic shock, respectively | Increased hospital stay and mortality in the intensive care unit in patients with new-onset AF during sepsis | [ |
| Cheng et al. (2017) | Retrospective cohort study in survivors of septicaemia from the Taiwan National Health Insurance Database | 68,324 | 1.6% had pre-existing AF and 1.9% had new-onset AF | Risk factors for AF: advanced age, HF, respiratory failure; increased risk of stroke with new-onset AF during sepsis | [ |
| Bosch et al. (2019) | Retrospective cohort study in patients with suspected infection in an intensive care unit in the USA | 9,528 | 2.5% had new-onset AF | Increased mortality with new-onset AF during sepsis | [ |
| Fernando et al. (2020) | Retrospective cohort study in patients in an intensive care unit in Canada | 15,014 | 10.3% had new-onset AF; significant interaction between new-onset AF and sepsis | – | [ |
| Ko et al. (2021) | Retrospective cohort study in patients with new AF diagnosis from UMass Memorial Health | 185 | 34.6% of patients with new-onset AF had sepsis as secondary precipitant | – | [ |
| Long et al. (2021) | Retrospective cohort study in patients with sepsis from the MIMIC-II database | 7,528 | 16.5% had a history of AF | Risk factors for AF: advanced age, male sex, HF, chronic respiratory disease, liver disease, renal failure; increased mortality with new-onset AF during sepsis | [ |
| Spodick (1976) | Prospective study of consecutive patients with acute pericarditis | 100 | 5% had new-onset AF (all among the 24 patients with definite heart disease) | – | [ |
| Spodick (1984) | Study of consecutive patients in sinus rhythm with acute pericarditis and 24 h Holter monitoring; all patients received an anti-inflammatory agent (ibuprofen, aspirin or indomethacin) | 50 (patients with previous arrhythmias were excluded) | – | 40% had no cardiac disease and half of these patients had atrial ectopy; in patients with heart disease, 66% had atrial ectopy | [ |
| Nagahama et al. (1998) | Study of consecutive patients with acute myocardial infarction | 398 | Of 105 patients with pericardial effusion, 36 (34%) developed new-onset AF | – | [ |
| Ristić et al. (2000) | Study of patients with acute pericarditis | 40 | 20% had new-onset AF without predisposing myocardial or valvular disease | – | [ |
| Talreja et al. (2003) | Study of patients with constrictive pericarditis | 143 | 31 patients (21%) had AF | – | [ |
| Syed et al. (2012) | Study of patients with tuberculous pericarditis | 80 | 20 patients (25%) had AF at presentation; incidence of AF decreased to zero by 6 months of follow-up | Patients with AF were more likely to have left ventricular systolic dysfunction and higher serum levels of N-terminal pro-B-type natriuretic peptide | [ |
| Imazio et al. (2015) | Prospective, multicentre study of patients with acute pericarditis | 822 | 4.3% developed new-onset AF within 24 h of pericarditis onset; 17% of patients with AF had structural heart disease; 74.3% of patients had spontaneous conversion to sinus rhythm within 24 h; in a 30-month follow-up, AF recurrence rate was higher in the AF (35%) than in the sinus rhythm (0.9%) group | – | [ |
| Frustaci et al. (1991) | Study of patients with ‘lone’ AF resistant to conventional antiarrhythmic drugs | 14 | – | Three patients showed active myocarditis in left ventricular endomyocardial biopsy samples; LVEF ≥50%; LA ≤40 mm | [ |
| Morgera et al. (1992) | Study of patients with myocarditis | 45 | Five patients had AF at presentation associated with HF and enlarged LA | – | [ |
| Frustaci et al. (1997) | Study of 14 patients with ‘lone’ AF resistant to conventional antiarrhythmic drugs and 11 patients with Wolff–Parkinson–White syndrome (as controls) | 25 | – | Eight patients showed atrial myocarditis in biopsy samples from right atrial septum; LVEF ≥55%; LA ≤40 mm; no conduction abnormalities | [ |
| Fuenmayor et al. (1997) | Study of eight patients with acute myocarditis caused by Chagas disease and 125 control patients | 133 | AF and atrial flutter could be induced by programmed electrical stimulation in four patients with Chagas disease | Normal LVEF and LA | [ |
| Larsen et al. (2013) | Study of patients with atrial giant cell myocarditis | 6 | Four patients had AF with atrial dilatation, mitral or tricuspid regurgitation, or atrial mural thrombus | – | [ |
| Deluigi et al. (2013) | Study of patients with biopsy-proven myocarditis | 84 | After hospital admission, four patients had AF associated with HF and atrial dilatation | – | [ |
| Anderson et al. (2014) | Retrospective, multicentre study of children with myocarditis | 2,041 | 44 (2.2%) had reported AF or atrial flutter | – | [ |
| Blagova et al. (2016) | Retrospective study of patients with idiopathic arrhythmias | 19 | 16 (84%) had AF (12 paroxysmal, 4 permanent) | 15 (79%) had biopsy-proven myocarditis | [ |
| Subahi et al. (2019) | Retrospective study of patients with acute myocarditis from the US inpatient sample registry | 6,642 | 602 (9%) had reported AF | Patients with AF were older and more often were white and had HF, hypertension, diabetes mellitus, chronic obstructive pulmonary disease, renal failure and coagulation disorder | [ |
| Adegbala et al. (2019) | Retrospective study of patients with acute myocarditis from the US Nationwide Inpatient Survey Dataset | 32,107 | 26.9% had AF during hospitalization | Patients with AF were older, had more co-morbidities and higher mortality | [ |
| Rasal et al. (2021) | Prospective study of children with acute myocarditis | 63 | 1.4% of children had AF during hospitalization | – | [ |
AF, atrial fibrillation; HF, heart failure; LA, left atrium; LVEF, left ventricular ejection fraction.
Examples of clear inflammatory settings leading to AF in experimental studies
| Model | Species | Phenotype | Intervention | Refs. |
|---|---|---|---|---|
| LPS-induced sepsis | Guinea pig | ↓ Atrial cardiomyocyte APD ↓ Atrial Cav1.2 levels and ↓ ↑ Atrial Kv11.1 levels and ↑ ↑ Atrial Kv7.1 levels and ↑ ↑ NO production in atrial cells ↑ iNOS, but not eNOS, levels | Inhibition of NO production eliminated the changes in APD and ion currents | [ |
| LPS-induced sepsis | Rat | ↑ Vulnerability to pacing-induced AF ↓ LVEF ↓ AERP, APD20, APD50 and APD90 ↑ Atrial conduction time ↑ CaMKII-mediated RYR2 phosphorylation at Ser2814 ↓ SERCA2A levels and ↓ CaMKII-mediated phospholamban phosphorylation at Thr17 ↑ NCX1 levels ↑ Total and autophosphorylated CaMKII at Thr287 ↑ ROS and MDA Abnormal iron metabolism (ferroptosis) | Suppression of ferroptosis prevented AF and reduced oxidative stress and Ca2+-handling dysregulation | [ |
| Sterile pericarditis | Dog | Rapid atrial pacing-induced AF on days 2–14 after surgery Unstable re-entrant circuits with fibrillatory conduction Underlying cellular and molecular mechanisms of AF not studied | AF duration and inducibility reduced or suppressed by administration of | [ |
| Sterile pericarditis | Dog | Rapid atrial pacing-induced AF on day 2 after surgery Prolonged intra-atrial conduction time Increased plasma CRP level Perimyocarditis and atrial inflammatory infiltrates with lipid degeneration Interstitial fibrosis | AF and underlying tissue changes were suppressed by atorvastatin administration | [ |
| Sterile pericarditis | Dog | Rapid atrial pacing-induced AF on day 4 after surgery ↓ Atrial conduction velocity ↓ Atrial connexin 40 and connexin 43 levels ↓ Atrial α-actinin level (myolysis) ↑ Atrial vimentin level (fibrosis) | – | [ |
| Sterile pericarditis | Dog | Rapid atrial pacing-induced AF on days 2–4 after surgery ↑ Atrial myeloperoxidase level | – | [ |
| Sterile pericarditis | Dog | Rapid atrial pacing-induced AF on day 2 after surgery Shorter AERP ↑ CRP, IL-6 and TNF levels in plasma Perimyocarditis and atrial inflammatory infiltrates with lipid degeneration | AF inducibility and duration and inflammatory indices were reduced by administration of polyunsaturated fatty acids | [ |
| Sterile pericarditis | Goat | Inducibility of AF by rapid atrial pacing was highest 72 h after surgery ↓ AERP 24 h to 21 days after surgery with loss of AERP rate adaptation Normal atrial conduction velocity ↑ CRP, IL-6 and TNF levels in plasma ↑ Lymphocyte atrial infiltration, epicardial thickening, myocardial rupture and necrosis | ↓ AF duration, but no increased AF inducibility; suppressed inflammatory indices with atorvastatin treatment | [ |
| Sterile pericarditis | Rat | Rapid atrial pacing-induced AF on days 1–4 after surgery ↑ Atrial levels of IL-6, IL-1β, IL-17A and TGFβ1 Perimyocarditis and atrial inflammatory infiltrates with lipid degeneration Interstitial fibrosis (↑ atrial levels of collagen 1, collagen 3, αSMA, MMP2 and MMP9 and ↓ levels of TIMP2 and glycosylated TIMP3) | Neutralization of IL-17A reduced AF susceptibility and AF duration and suppressed inflammation and fibrosis | [ |
| Sterile pericarditis | Rat | Rapid atrial pacing-induced AF on day 3 after surgery Inhomogeneous conduction ↑ Atrial levels of IL-6, IL-1β, TGFβ1, TNF, STAT3 and miR-21 Interstitial fibrosis (↑ atrial levels of collagen 1, collagen 3 and αSMA) | Administration of antagomir-21 and STAT3 inhibition reduced AF susceptibility and suppressed inflammation and fibrosis | [ |
| Sterile pericarditis | Pig | Rapid atrial pacing-induced AF 7 days after surgery ↓ Sinus cycle length Interstitial fibrosis Atrial myolysis Inflammation and leukocyte infiltration | Amiodarone treatment prevented AF | [ |
| Sterile pericarditis | Rabbit | ↑ Atrial premature contractions ↑ Spontaneous burst firing in pulmonary veins at baseline and with isoprenaline administration ↓ APD90 with reduced Cav1.2 and Kv11.1 levels Interstitial fibrosis | Histone deacetylase inhibition prevented fibrosis and reduced atrial premature contraction and spontaneous burst firing | [ |
| Sterile pericarditis | Rat | Rapid atrial pacing-induced AF on day 3 after surgery Inhomogeneous conduction ↑ Atrial IL-6, TGFβ1, TNF and myeloperoxidase levels Interstitial fibrosis (↑ atrial collagen 1, collagen 3 and αSMA levels) ↑ Phosphorylation of STAT3, AKT and p38, but normal levels of phosphorylated ERK and phosphorylated JNK | Colchicine administration suppressed inflammation and fibrosis | [ |
| Sterile pericarditis | Rabbit | ↑ DADs and triggered activity in vitro in LA samples ↑ Pacing-induced burst firing in vitro in LA samples ↑ APD20 and APD50, normal APD90 in LA samples ↑ Atrial IL-1α, IL-8 and CCL4 levels, but normal IL-17A and IL-21 levels IL-1β, TNF and MMP9 not detectable | Inhibition of TLR4 (with TAK-242), RYR2 (with ryanodine) or CaMKII (with KN-93) reduced pacing-induced burst firing | [ |
| Sterile pericarditis | Rat | Rapid atrial pacing-induced AF on day 3 after surgery ↑ Atrial ectopy; AERP unchanged ↑ APD20, APD50, APD90 (↓ K+ currents ↑ TRPV4 in atrial fibroblasts ↑ Atrial IL-6, TGFβ1 and TNF levels Interstitial fibrosis (↑ atrial levels of collagen 1, collagen 3, αSMA, and phosphorylated SMAD3, p38, AKT and STAT3) | TRPV4 inhibition reduced AF susceptibility and suppressed inflammation and fibrosis | [ |
| Sterile pericarditis | Minipig | Rapid atrial pacing-induced AF 14 days after surgery Interstitial fibrosis | – | [ |
| Sterile pericarditis | Rat | Rapid atrial pacing-induced AF on day 3 after surgery ↑ Atrial ectopy and re-entrant activity Normal AERP ↑ Atrial IL-6, IL-1β, MMP9 levels; plasma IL-6 level unchanged ↑ Myeloperoxidase level and CD68+ cell numbers Interstitial fibrosis (↑ atrial αSMA level) Heterogeneous Ca2+ transient prolongation ↑ Incidence of discordant alternans ↑ Relative level of Ser2808-phosphorylated RYR2 and Ser2814-phosphorylated RYR2 caused by downregulation of total RYR2 level ↓ Cav1.2 levels and SERCA activity; normal NCX1 levels | Neutralization of IL-6 reduced atrial ectopy and susceptibility to AF and suppressed inflammation, fibrosis and Ca2+ handling abnormalities | [ |
| Autoimmune or LPS-induced myocarditis | Rat | 11 out of 15 rats with chronic autoimmune myocarditis had inducible AF with atrial cardiomyocyte hypertrophy, increased LA and interstitial fibrosis LPS-induced acute myocarditis led to a reduction in atrial connexin 43 levels and did not cause inducible AF | – | [ |
AERP, atrial effective refractory period; AF, atrial fibrillation; APD, action potential duration; CaMKII, calcium/calmodulin-dependent kinase II; Cav1.2, voltage-gated L-type Ca2+ channel subunit-α; CCL4, C-C motif chemokine 4; CRP, C-reactive protein; DAD, delayed afterdepolarization; eNOS, endothelial nitric oxide synthase; IKr, rapid component of the delayed rectifier K+ current; IKs, slow component of the delayed rectifier K+ current; Ipeak, peak K+ current; Isus, sustained K+ current; Ito, transient outward K+ current; iNOS, inducible nitric oxide synthase; JNK, JUN amino-terminal kinase; Kv, voltage-gated K+ channel; LA, left atrial; LPS, lipopolysaccharide; LVEF, left ventricular ejection fraction; MDA, malondialdehyde; MMP, matrix metalloproteinase; NCX1, sodium–calcium exchanger 1; NO, nitric oxide; ROS, reactive oxygen species; RYR2, ryanodine receptor 2; SERCA2A, sarcoplasmic/endoplasmic reticulum Ca2+ ATPase 2A; αSMA, α-smooth muscle actin; TGFβ1, transforming growth factor-β1; TIMP, tissue inhibitor of matrix metalloproteinases; TLR4, Toll-like receptor 4; TNF, tumour necrosis factor; TRPV4, transient receptor potential cation channel subfamily V member 4.
Fig. 1Pathways involved in NLRP3 inflammasome activation.
Molecular pathways involved in NLRP3 inflammasome activation on the basis of information from classic models of inflammation. NLRP3 inflammasome activation in response to tissue stress and damage involves inflammasome priming (Signal 1), leading to increased expression of the major inflammasome components (NLRP3, ASC and caspase 1), and triggering (Signal 2), promoting assembly of the NLRP3 inflammasome. Subsequent activation of caspase 1 leads to activation of several proteins including IL-1β and IL-18, as well as gasdermin D (GSDMD) and IL-1β release through pores formed by the GSDMD amino terminus (NT) fragment. ATR, angiotensin receptor; BRCC36, Lys-63-specific deubiquitinase 36; CaMKII, Ca2+/calmodulin-dependent protein kinase II; CARD, caspase recruitment domain; CaSR, calcium-sensing receptor; DAMP, damage-associated molecular pattern; ER, endoplasmic reticulum; FADD, FAS-associated death domain protein; GSDMD-CT, gasdermin D carboxy terminus; IL-1R, IL-1 receptor type 1; IP3, inositol 1,4,5-trisphosphate; IP3R, inositol 1,4,5-trisphosphate receptor; JNK, JUN N-terminal kinase 1; LPS, lipopolysaccharide; LRR, leucine-rich repeat; mtDNA, mitochondrial DNA; MyD88, myeloid differentiation primary response protein 88; NEK7, NIMA related kinase 7; NF-κB, nuclear factor-κB; NLRP3, NACHT-, LRR- and pyrin domain-containing 3; NOD, nucleotide-binding oligomerization domain-containing protein; Ox-mtDNA, oxidized mitochondrial DNA; P2X7, P2X purinoceptor 7; PAMP, pathogen-associated molecular pattern; PAR4, proteinase-activated receptor 4; PIP2, phosphatidylinositol 4,5-bisphosphate; PKA, protein kinase A; PLC, phospholipase C; PP2A, protein phosphatase 2A; PYD, pyrin domain; ROS, reactive oxygen species; RIPK1, receptor-interacting serine/threonine-protein kinase 1; RYR2, ryanodine receptor 2; SR, sarcoplasmic reticulum; TLR, Toll-like receptor; TNF, tumour necrosis factor; TNFR, tumour necrosis factor receptor; TRP, transient receptor potential; Ub, ubiquitin.
Fig. 2Pathways leading to NLRP3 inflammasome activation induced by comorbidities and cardiovascular risk factors.
Main pathways through which risk factors, heart diseases and comorbidities can promote NLRP3 inflammasome activation, potentially leading to atrial fibrillation and contributing to myocardial pathology in conditions such as acute myocardial infarction and heart failure. Risk factors, including gut microbiota dysbiosis, obesity, diabetes mellitus, right heart disease and coronary artery disease, promote the production of several mediators that activate transmembrane receptors involved in NLRP3 inflammasome priming, including Toll-like receptor 4 (TLR4), tumour necrosis factor receptors (TNFRs) and IL-1 receptor type 1 (IL-1R1), as well as downstream activation of signalling pathways dependent on Ca2+/calmodulin-dependent protein kinase II (CaMKII), reactive oxygen species (ROS) and nuclear factor-κB (NF-κB). Assembly of inflammasome components (triggering) is mediated, among other pathways, by P2X purinoceptor 7 (P2X7) signalling and K+ depletion, as well as histone deacetylase 6 (HDAC6). Downstream activation of caspase 1 and formation of pores by the gasdermin D (GSDMD) amino terminus (NT) fragment subsequently allows the release of IL-1β and IL-18 from the cell. In parallel, these pathways promote pro-arrhythmic atrial remodelling, including spontaneous Ca2+ release events, delayed afterdepolarizations and triggered activity, as well as re-entry-promoting shortening of action potential duration and effective refractory period in combination with structural remodelling and associated conduction abnormalities. Dashed arrows indicate indirect effects. DAMP, damage-associated molecular pattern; GSDMD-CT, gasdermin D carboxy terminus; LPS, lipopolysaccharide; NLRP3, NACHT-, LRR- and pyrin domain-containing 3.
Fig. 3Inflammation resolution concept.
In response to injury or infection, acute inflammation is activated to favour the return to homeostasis. During the initiation phase, damage signals (pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) promote phospholipase A2 (PLA2)-induced accumulation of arachidonic acid (AA), activation of the nuclear factor-κB (NF-κB) pathway and assembly of the NLRP3 inflammasome, leading to the release of pro-inflammatory substances, recruitment of polymorphonuclear leukocytes (PMNs) and monocyte polarization towards pro-inflammatory M1 macrophages. Apoptotic PMNs and M1 macrophages secrete 12-lipoxygenase (12-LOX) and 15-LOX, which triggers lipid-mediator class switching, signalled by increased production of resolution-promoting mediators from AA, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Pro-resolution autacoids orchestrate the inhibition of PMN infiltration, the increased release of anti-inflammatory cytokines (IL-10 and IL-13) and increased macrophage polarization to anti-inflammatory M2 macrophages to phagocytize damaged cells. Inflammation resolution is characterized by efferocytosis, tissue repair, wound healing, preservation of functions and homeostasis. Failed resolution of inflammation is associated with dysfunctional triggering of lipid-mediator class switching, perpetuation of production and secretion of pro-inflammatory mediators (IL-1β, IL-6 and IL-18), aggravation and chronicity of the inflammatory status, development of fibrosis, myocardial damage, loss of myocardial function and arrhythmogenesis. CaMKII, calcium/calmodulin-dependent kinase II; COX, cyclooxygenase; CYP450, cytochrome P450; LTB4, leukotriene B4, LXA4, lipoxin A4; MAPK, mitogen-activated protein kinase; NLRP3, NACHT-, LRR- and pyrin domain-containing 3; PGE2, prostaglandin E2; PGI2, prostaglandin I2; ROS, reactive oxygen species; TXA2, thromboxane A2.
Anti-inflammatory therapeutics
| Agent | Specific targets | Beneficial effects | Limitations or adverse effects | Refs. |
|---|---|---|---|---|
| COX inhibitors | COX1 and COX2 | Suppress the production of arachidonic acid metabolites (prostaglandins, leukotrienes, thromboxane A2) Reduce NLRP3 activity, inhibit caspase 1 and prevent IL-1β secretion Reduce pain | Increase risk of clots, hypertension and cardiovascular events | [ |
| Aspirin | COX1 and COX2 | Irreversible acetylation of COXs Acetylated COX2 can metabolize docosahexaenoic acid and eicosapentaenoic acid Production of aspirin-triggered resolvins Restrains NLRP3 assembly and activity via blockade of reactive oxygen species release | No evidence of atrial fibrillation prevention with chronic aspirin use Not recommended for patients with low risk of cardiovascular disease | [ |
| Glucocorticoids | Immune cells and pro-inflammatory biomarkers | Suppress pro-inflammatory biomarkers and activation of pro-inflammatory cells Promote clearance of apoptotic cells Reduce pain and swelling | Increase NLRP3 activation and IL-1β secretion Delay wound healing Increase the risk of hypertension Increase atrial fibrillation incidence | [ |
| NLRP3 inhibitors | NLRP3 inflammasome components and signalling | Prevent maturation of NLRP3 components Prevent NLRP3 inflammasome assembly Reduce pro-inflammatory cytokine production Might promote lipid-mediator class switching | Further studies are required to assess the potential of NLRP3 inhibitors in inflammatory conditions and clarify their safety and potential adverse effects | [ |
| IL-1 inhibitors | IL-1R1 and IL-1β | Prevent IL-1β interaction with its receptor IL-1R1 Inhibit IL-1β signalling Reduce IL-1β-induced production of pro-inflammatory interleukins (IL-6, IL-17, IL-18) | Increase the risk of infection Increase cholesterol plasma levels Decrease circulating leukocyte numbers Might increase the risk of cancer | [ |
| Specialized pro-resolving mediators | Pro-inflammatory processes and immune cells | Prevent infiltration of polymorphonuclear leukocytes Activate M2 macrophage phagocytosis and clearance of cellular debris Resolvin D1 decreases atrial expression of NLRP3 components Non-toxic | Few clinical and preclinical data on cardiac tissue currently available Various clinical trials are ongoing or have been completed: NCT04575753, NCT04997057, NCT03609541, NCT04697719, NCT02322073 | [ |
COX, cyclooxygenase; IL-1R1, IL-1 receptor type 1; NLRP3, NACHT-, LRR- and pyrin domain-containing 3.
Fig. 4Cardiomyocyte–immune cell interactions promote and maintain atrial fibrillation.
Dynamic interactions between cardiac cells and immune cells create a pro-inflammatory substrate for the promotion and maintenance of atrial fibrillation. Atrial fibrillation-promoting risk factors activate various mediators that signal through pattern-recognition receptors (PRRs) on cardiomyocytes to activate the cardiomyocyte NLRP3 inflammasome, leading to the release of IL-1β and IL-18 and activation of signalling pathways dependent on Ca2+/calmodulin-dependent protein kinase II (CaMKII), reactive oxygen species (ROS) and nuclear factor-κB (NF-κB). Subsequent activation of IL-1 receptor type 1 (IL-1R1) on macrophages promotes feedforward amplification of inflammatory signalling, whereas IL-1R1-mediated stimulation of fibroblasts causes extracellular matrix remodelling. Together, these processes result in cardiomyocyte Ca2+ handling abnormalities, including ryanodine receptor 2 (RYR2) channel remodelling, delayed afterdepolarizations, and triggered action potentials and ectopic activity, as well as re-entry-promoting effective refractory period (ERP) shortening and fibrotic structural remodelling, thereby inducing the principal mechanisms responsible for atrial fibrillation. AngII, angiotensin II; ANP, atrial natriuretic peptide; DAMPs, damage-associated molecular patterns; LPS, lipopolysaccharide; GSDMD, gasdermin D; GSDMD-NT, gasdermin D amino terminus; NLRP3, NACHT-, LRR- and pyrin domain-containing 3; Thr, thrombin; TNF, tumour necrosis factor.