Abstract

The interplay between the cardiovascular system, metabolism, and inflammation plays a central role in the pathophysiology of a wide spectrum of cardiovascular diseases, including heart failure. Here, we provide an overview of the fundamental aspects of the interrelation between inflammation and metabolism, ranging from the role of metabolism in immune cell function to the processes how inflammation modulates systemic and cardiac metabolism. Furthermore, we discuss how disruption of this immuno-metabolic interface is involved in the development and progression of cardiovascular disease, with a special focus on heart failure. Finally, we present new technologies and therapeutic approaches that have recently emerged and hold promise for the future of cardiovascular medicine.

1. The clinical problem

Cardiovascular (CV) diseases are the leading cause of death worldwide. Heart failure (HF) is the end result of most CV diseases, with a prevalence between 2% and 4% in Europe, USA, and Canada.1 The increasing burden of risk factors and comorbidities has an important impact on the development and clinical course of HF.2 Therefore, HF can no longer be viewed as an isolated organ disease, but rather as a systemic disease that requires cross-disciplinary approaches towards basic research, diagnostics, and treatment. For a systemic approach towards CV diseases, it is important to understand the biological ‘languages’ by which the heart communicates with other organs. Neuroendocrine activation, inflammation, and metabolism represent major interfaces between the CV system and other organs (Figure 1). While most CV drugs rely primarily on targeting neuroendocrine activation, more recent developments indicate that targeting inflammation and metabolism may provide substantial benefit beyond neuroendocrine blockade. In patients after myocardial infarction (MI), treatment with the interleukin (IL)-1β antibody canakinumab reduced the risk of major CV events and hospitalization for HF,3 and similar results were obtained more recently with colchicine.4,5 Furthermore, the growing understanding of the interplay between diabetes and HF6 and the recently uncovered efficacy of sodium/glucose cotransporter (SGLT)2-inhibitors in patients with diabetes at CV risk and/or with HF7,8 sparked new enthusiasm in metabolic therapies for patients with CV diseases. Therefore, moving ahead beyond neuroendocrine blockade towards targeting inflammation, metabolism or both is an important field of basic, translational, and clinical CV research.

Moving beyond neuroendocrine blockade to treat heart failure. Neuroendocrine blockade remains the cornerstone of HF therapy, while new approaches targeting metabolic remodelling and inflammation are emerging as promising therapeutic options. ACE, angiotensin-converting enzyme; AT1, angiotensin receptor type 1; SGLT2, sodium/glucose transporter 2.
Figure 1

Moving beyond neuroendocrine blockade to treat heart failure. Neuroendocrine blockade remains the cornerstone of HF therapy, while new approaches targeting metabolic remodelling and inflammation are emerging as promising therapeutic options. ACE, angiotensin-converting enzyme; AT1, angiotensin receptor type 1; SGLT2, sodium/glucose transporter 2.

In this review, we outline the tight interrelation of inflammation and metabolism on several levels, with a special focus on the role of metabolism in immune cells and the impact of inflammation on the pathophysiology of cardiac disease and failure. Furthermore, we discuss how novel treatment options targeting inflammation or metabolism impact on these systems and finally, we highlight how technological advances can further improve our understanding of the pathophysiology of CV diseases and HF on a systemic level.

2. Inflammation and immune cell metabolism

2.1 Mitochondria and metabolism in immune cells

Mitochondria are pivotal to immune cell function. They are not only the central hub of oxidative metabolism, but also a platform for intracellular signalling molecules, including the NLRP3 (NACHT, LRR, and PYD domain-containing protein 3) inflammasome.9 Furthermore, the processes of mitochondrial fission and fusion regulate important aspects of immune cell activation and cell death.10 Finally, recent studies demonstrated that Krebs cycle intermediates, such as succinate, have a signalling role and can modulate immune cell activity.11

In immune cells, glucose oxidation is a dominant source of energy.12 Glucose is oxidized to pyruvate via the glycolytic pathway. In turn, pyruvate can be reduced to lactate or transported into mitochondria and further oxidized via the Krebs cycle. The enzymatic reactions of the Krebs cycle catalyse the complete oxidation of the two-carbon units of acetyl-CoA (Ac-CoA) into carbon dioxide and represent a major source of intermediates for the biosynthesis of lipids and amino acids (Figure 2). The efflux of Krebs cycle intermediates is compensated by several anaplerotic reactions, a prominent example being the conversion of glutamine to α-ketoglutarate. The reducing equivalents NADH and succinate produced by the Krebs cycle sustain oxidative phosphorylation (OxPhos), which is substantially more efficient than glycolysis with respect to ATP production. Furthermore, glycolysis provides substrates for the synthesis of ribose via the pentose phosphate pathway (PPP), required for nucleotide synthesis, and amino acids via the serine biosynthetic pathway. Therefore, glycolysis plays a pivotal role in rapidly proliferating cells.

Key metabolic pathways in macrophages and T-cells. Immune cells can use different substrates to support ATP production, proliferation, and changes in their function. Glucose-6-phosphate (G6P) can be oxidized to pyruvate via glycolysis or channelled through the PPP, which produces the reduced form of NADPH as well as ribose for DNA synthesis. Pyruvate can be converted to lactate or further oxidized via the Krebs cycle in mitochondria. The Krebs cycle can be also fuelled by Ac-CoA produced by β-ox of FAs. Reducing equivalents (NADH and FADH2) produced by these processes support OxPhos for ATP production. Importantly, both glycolysis and the Krebs cycle provide intermediates that can serve as precursors for biosynthetic processes or for post-translational modifications of proteins having profound influences on immune cell function. CPT, carnitine palmitoyltransferase; FA-CoA, fatty acyl-coenzyme A; FFA, free fatty acids; NO, nitric oxide; ROS, reactive oxygen species.
Figure 2

Key metabolic pathways in macrophages and T-cells. Immune cells can use different substrates to support ATP production, proliferation, and changes in their function. Glucose-6-phosphate (G6P) can be oxidized to pyruvate via glycolysis or channelled through the PPP, which produces the reduced form of NADPH as well as ribose for DNA synthesis. Pyruvate can be converted to lactate or further oxidized via the Krebs cycle in mitochondria. The Krebs cycle can be also fuelled by Ac-CoA produced by β-ox of FAs. Reducing equivalents (NADH and FADH2) produced by these processes support OxPhos for ATP production. Importantly, both glycolysis and the Krebs cycle provide intermediates that can serve as precursors for biosynthetic processes or for post-translational modifications of proteins having profound influences on immune cell function. CPT, carnitine palmitoyltransferase; FA-CoA, fatty acyl-coenzyme A; FFA, free fatty acids; NO, nitric oxide; ROS, reactive oxygen species.

Fatty acids (FAs) represent another important substrate for ATP production upon β-oxidation (β-ox) in mitochondria. While short-chain FAs can diffuse through mitochondrial membranes, medium- and long-chain FAs need to be actively transported through the inner mitochondrial membrane (Figure 2). FAs undergo several cycles of oxidation that ultimately yield FADH2 and NADH as electron donors. A mismatch between cellular FA uptake and the rate of their oxidation in mitochondria results in cytosolic accumulation of FAs, which functions as a pro-inflammatory signal.13 For instance, unsaturated FAs stimulate the production of IL-1α in macrophages by uncoupling mitochondrial respiration, thereby contributing to vascular inflammation.14

2.2 Metabolic control of inflammatory cell differentiation

2.2.1 Macrophages

Changes in immune cell function are accompanied by extensive rewiring of cellular metabolism. During the activation of innate and adaptive immune cells, their metabolism switches from a quiescent to a highly activated state. In fact, activated leucocytes dramatically increase nutrient uptake and flux through several metabolic pathways to support the production of ATP and anabolic intermediates required for the biosynthesis of lipids, proteins, and nucleotides.15 Furthermore, changes in flux through specific metabolic pathways are key drivers for differentiation of immune cells and for their effector functions. A hallmark of pro-inflammatory immune cells is the increase in glucose uptake and utilization.12 In pro-inflammatory (referred to as M1) macrophages, pyruvate is largely reduced to lactate to recycle NAD+.16 The switch towards aerobic glycolysis in macrophages is controlled by the hypoxia-inducible factor 1α (HIF-1α), which up-regulates the glucose transporter (GLUT)1 and lactate dehydrogenase (LDH), while down-regulating the pyruvate dehydrogenase complex (Figure 3).17 Metabolic changes play a pivotal role in controlling macrophage effector functions: pharmacological or genetic interventions that inhibit glycolysis also impair macrophage pro-inflammatory activity, whereas GLUT1 overexpression boosts glycolysis and promotes a pro-inflammatory phenotype.18,19

Transcription factors driving metabolic remodelling in macrophages. In pro-inflammatory M1 macrophages, activation of HIF-1α stimulates glycolytic metabolism by up-regulating GLUT1 and LDH, while down-regulating pyruvate dehydrogenase gene expression. In anti-inflammatory M2 macrophages, activation of PPAR-γ and -δ and its coactivator PGC-1β up-regulates genes coding for enzymes of FA β-oxidation. IL4Rα, interleukin-4 receptor α; TLR4, toll-like receptor 4.
Figure 3

Transcription factors driving metabolic remodelling in macrophages. In pro-inflammatory M1 macrophages, activation of HIF-1α stimulates glycolytic metabolism by up-regulating GLUT1 and LDH, while down-regulating pyruvate dehydrogenase gene expression. In anti-inflammatory M2 macrophages, activation of PPAR-γ and -δ and its coactivator PGC-1β up-regulates genes coding for enzymes of FA β-oxidation. IL4Rα, interleukin-4 receptor α; TLR4, toll-like receptor 4.

In pro-inflammatory M1 macrophages, the Krebs cycle is interrupted at several steps, a situation referred to as ‘broken’ Krebs cycle (Figure 4). Down-regulation of isocitrate dehydrogenase leads to citrate accumulation, which then serves as intermediate for the biosynthesis of lipids and signalling molecules like prostaglandins. Citrate is also converted to itaconate, which exerts an antibacterial activity by inhibiting the bacterial glyoxylate cycle, an important anaplerotic pathway in bacteria and plants. In mammals, however, itaconate is a potent inhibitor of succinate dehydrogenase.20 Succinate dehydrogenase inhibition causes accumulation of succinate, which contributes to HIF-1α stabilization by inhibiting its negative regulator prolyl hydroxylase.21 The aspartate–argininosuccinate shunt (AASS) replenishes the Krebs cycle at fumarate, after the break point caused by succinate dehydrogenase inhibition, and links the Krebs cycle to nitric oxide (NO) synthesis (Figure 4).22 Specifically, mitochondrial oxaloacetate can be converted to either fumarate or aspartate and, as part of the urea cycle, aspartate is further converted to arginine, which is a substrate for inducible NO synthase (iNOS). NO production through iNOS is a hallmark of M1 macrophages and is an important antibacterial defence mechanism but may also contribute to the progression of atherosclerosis.23

The broken Krebs cycle in pro-inflammatory macrophages. Macrophage polarization towards a pro-inflammatory phenotype is associated with metabolic changes, such as remodelling of the Krebs cycle. This leads to accumulation of citrate, which serves as a precursor of FA and prostaglandin biosynthesis, and succinate, which prevents degradation of the HIF-1α. The Krebs cycle is replenished by an increased flux through the AASS. α-KG, α-ketoglutarate; OAA, oxaloacetate.
Figure 4

The broken Krebs cycle in pro-inflammatory macrophages. Macrophage polarization towards a pro-inflammatory phenotype is associated with metabolic changes, such as remodelling of the Krebs cycle. This leads to accumulation of citrate, which serves as a precursor of FA and prostaglandin biosynthesis, and succinate, which prevents degradation of the HIF-1α. The Krebs cycle is replenished by an increased flux through the AASS. α-KG, α-ketoglutarate; OAA, oxaloacetate.

Macrophages regulate immunity by adopting an anti-inflammatory, immune-suppressive phenotype (referred to as M2), which is associated with a metabolic shift towards oxidative metabolism and reduced glycolytic flux. In contrast to M1, M2 macrophages maintain an intact Krebs cycle and display a high production of α-ketoglutarate via glutaminolysis, which induces Jumonji domain-containing protein D 3-mediated epigenetic reprogramming of anti-inflammatory genes.24 IL-4 is one of the key drivers of M2 macrophage polarization, and achieves its effect by activating peroxisome proliferator-activated receptor (PPAR)-γ coactivator-1β (PGC-1β), a transcriptional regulator that, together with PPARs,25 induces mitochondrial biogenesis and FA oxidative metabolism (Figure 3).26 In turn, FA oxidation is a major source of Ac-CoA, which is used for histone acetylation and transcriptional induction of IL-4-inducible genes.26 The transcriptional and epigenetic regulation of macrophage differentiation is very complex and involves other transcriptional regulators like NCoR, SMRT, and LXR, which have been reviewed elsewhere.27,28

Mitochondria undergo substantial morphological changes during immune cell activation and differentiation. The structural remodelling of mitochondrial cristae also involves rearrangements of the mitochondrial respiratory chain. In this context, enhanced iNOS-mediated NO production modulates electron transport chain and Krebs cycle activity.29 Activation of the NADPH oxidase–SRC kinase axis reduces the assembly of complex I into respirasomes, while promoting complex II-dependent respiration.30 This shifts the NADH to ubiquinone ratio and allows reverse electron transport, whereby electrons from complex II are transduced in reverse flux through complex I, promoting reactive oxygen species (ROS) production. An increase in ROS production is also mediated by activation of the complex I assembly factor ECSIT, which depends on lipopolysaccharide (LPS) and toll-like receptor signalling via TRAF6.31 Altogether, these structural rearrangements redirect the function of the electron transport chain from respiration towards ROS production. Increased ROS signalling from the respiratory chain stabilizes HIF-1α to up-regulate IL-1β gene expression.32 Accordingly, inhibition of complex I with rotenone or the anti-diabetic drug metformin impairs LPS-induced ROS and IL-1β production and antagonizes the inflammatory function of macrophages.33

In summary, changes in metabolism in immune cells represent a major driving force for functional differentiation, and this concept stands as a general characteristic of macrophages. It is important to note that the widely employed pro-inflammatory M1/anti-inflammatory M2 dichotomy, while useful for in vitro studies and investigating metabolic activity of macrophages with artificially induced pro/anti-inflammatory polarized states, does not represent the true diversity of macrophages observed in the healthy or diseased heart,34 and little is known on metabolism of cardiac-specific macrophage subpopulations in health and disease.

2.2.2 T-cells

Similar to macrophages, naïve T-cells exhibit minimal metabolic activity characterized by low glycolytic rate and a preference for FA oxidation.35 Upon T-cell receptor and CD28 coreceptor stimulation, T-cells undergo a glycolytic switch that supports clonal expansion and differentiation into various effector subtypes. These changes are—at least in part—dependent on calcium (Ca2+) and calcineurin signalling events controlling the activation of the nuclear factor of activated T-cell (NFAT) transcription factor family.36,37 Inhibition of Ca2+ signalling either genetically (e.g. by deleting Stim1 and Stim2 genes) or pharmacologically abolishes the up-regulation of GLUTs and glycolytic enzymes. Although Ca2+-mediated NFAT signalling is central for the glycolytic switch in T-cells, many of these events are not mediated directly by NFAT. Instead, NFAT modulates the expression of metabolic master regulators, such as IRF4, HIF-1α, and c-Myc in T-cells.36,37 Besides Ca2+/calcineurin/NFAT signalling, other pathways contribute critically to the metabolic adaptation of T-cells in response to antigen stimulation. For instance, expression of c-Myc is induced by the PI3K/Akt/mTOR pathway and AMPK signalling, resulting in GLUT1 up-regulation and enhanced glycolysis.38 Limiting glucose metabolism suppresses the activation and proliferation of T-cells, whereas GLUT1 overexpression promotes T-cell activation.39 Activated T-cells also strongly increase glutamine metabolism for anaplerosis of Krebs cycle intermediates.40 A tight connection exists between production of certain metabolic intermediates and regulation of gene expression. For example, glutamine and glucose metabolism fuel the synthesis of UDP-N-acetylglucosamine (GlcNAc) required for the modification of c-Myc with GlcNAc to regulate its transcriptional activity and—in turn—the metabolic activity of T-cells.41

Similar to the metabolic switch observed in macrophages, specific energetic programs also dictate the fate and function of T-cells. While inflammatory (effector) T-cells are highly glycolytic, T regulatory cells (Treg) are characterized by reduced glycolytic activity and increased FA oxidation. In line with their metabolic preferences, T-cells exposed to exogenous FAs show enhanced Treg generation and impaired effector function, whereas genetic or pharmacological inhibition of glycolysis promotes Treg differentiation and abrogates the generation of inflammatory subsets. This indicates that oxidative metabolism is an important regulator of Treg and effector T-cell differentiation, although this paradigm has been challenged recently.42 Similar to Treg cells, memory T-cells have a pronounced oxidative phenotype that is associated with a large mitochondrial respiratory capacity and an augmented FA oxidation.43 An important cytokine to generate memory T-cells is IL-15, which promotes mitochondrial biogenesis and the expression of carnitine palmitoyl transferase 1A (CPT1A), required for FA transport into mitochondria.44 Interestingly, enforced expression of CPT1A in T-cells is sufficient to differentiate memory T-cells, suggesting that metabolic changes in T-cells can directly influence the phenotype and function of lymphocytes.

In conclusion, metabolic adaptation of innate and adaptive immune cells is not just a consequence of their activation and differentiation, but is in fact a central prerequisite to support and direct immune cell differentiation, maintenance, and function.

3. Inflammation modulates systemic and cardiac metabolism

Systemic metabolism and the immune system are tightly integrated and respond in a coordinated manner to stress situations, such as infections or tissue injury. From an evolutionary perspective, this interconnection is advantageous because it allows to quickly reallocate energy resources when they are required to mount an immune response.45 Inflammatory mediators, allied to the activity of the hypothalamic–pituitary–adrenal axis, play a key role in directing metabolism towards a catabolic program, characterized by lipolysis, reduced glucose utilization by skeletal muscle and adipose tissue, along with increased insulin and leptin resistance.46 As the contribution of the immune system to metabolic disorders emerged, components of the inflammatory response and their respective impact on metabolism were progressively discovered. In particular, the prototypic inflammatory cytokine tumour necrosis factor (TNF) modulates systemic metabolism by inducing free FA release through lipolysis and decreasing insulin secretion by pancreatic β-cells.47 Similarly, IL-6 also modulates FA metabolism by inducing hepatic triglyceride secretion in response to infections and fasting.48

The inflammasome is a key mediator of changes in metabolism driven by inflammation. Caspase-1, a central component of the inflammasome pathway, modulates systemic lipid metabolism. In fact, caspase-1-deficient mice exhibit lower plasma triglycerides and accelerated lipid clearance from plasma after high-fat feeding, independent of IL-1β or IL-18 activity.49 Moreover, inflammasome activation exerts a multitude of effects on metabolism that depend on cytokine activity, particularly IL-1β.50 Mice lacking the endogenous IL-1 receptor antagonist (IL-1Ra) show impaired fat accumulation, while hypothalamic released factors and energy expenditure are unaltered.51 Genetic deletion of IL-1Ra prevents weight gain in mice fed with glutamate or high-fat diet. Interestingly, insulin levels remained low in the presence of excessive IL-1β signalling.51 In that scenario, IL-1β may directly control glucose metabolism and thereby contribute to the development of type 2 diabetes mellitus (T2DM). IL-1β also causes pancreatic β-cell apoptosis and is up-regulated by β-cells following high glucose stimulation in vitro.52 This cytokine was also detected in pancreatic sections from T2DM patients.52 In fact, blocking IL-1β activity with anakinra improves glycaemia and β-cell secretory function and reduces systemic inflammatory markers in patients with T2DM, supporting a detrimental role for IL-1β in T2DM progression.53

Although pro-inflammatory cytokines clearly play a detrimental role in the context of metabolic syndrome, immune control of systemic metabolism maintains cardiac homeostasis in response to acute inflammatory stress.54 During sepsis, growth differentiation factor 15 (GDF15) stimulates hepatic triglyceride export via β-adrenergic signalling. Maintenance of FA availability mediated by GDF15 sustains cardiac function, whereas GDF15 inhibition increases troponin levels and reduces cardiac output in both bacterial and viral infections.55 The pleiotropic cytokine IL-6 also controls cardiac FA metabolism. IL-6 deficiency increases circulating levels of triglycerides, resulting in myocardial lipid accumulation and lipotoxicity.56,57 While IL-6−/− mice fail to develop obesity when fed a high-fat diet, they develop cardiac dysfunction characterized by myocardial lipid accumulation, fibrosis, and inflammation.56 Besides the systemic effects on lipid metabolism, IL-6 controls the expression of cardiac FA transporters: IL-6 deficiency increased expression of CD36 and accumulation of toxic lipid species (diacylglycerol and ceramide) in the heart.57 Strikingly, treatment with tocilizumab, a monoclonal antibody directed against the IL-6 receptor, prevents aerobic exercise-induced cardiac fat loss in humans. Although IL-6 signalling is associated with pathologic cardiac hypertrophy, it appears necessary also for physiological (exercise-induced) hypertrophy and lowering of myocardial lipid content.58

Cytokines produced during the resolution phase of inflammation also modulate cardiac metabolism. Amit and co-authors observed a down-regulation of IL-13 receptor in myocardial samples from HF patients. Moreover, ablation of IL-13 signalling in mice results in myocardial dysfunction and dyssynchrony.59 Bioinformatic analyses demonstrated that cardiac glucose metabolism is impaired in IL-13 receptor-deficient mice, with accumulation of advanced glycosylation end products promoting vascular damage.59 It is currently unknown whether cytokines produced by cardiac fibroblasts and endothelial cells also contribute to cardiac metabolic remodelling. Existing evidence indicates that cell types other than leucocytes respond to and are a source of cytokine signalling but their contribution in this context has not been investigated.60 In conclusion, the immune system contributes to homeostatic metabolic functions, but can also fuel metabolic syndromes and tissue dysfunction, a dichotomy that must be considered in designing future therapeutic approaches.

4. The immune system in cardiac physiology and disease

4.1 Immune cells in cardiac homeostasis

Cardiac myocytes represent only one-third of the cells composing the adult heart. In addition to fibroblasts, endothelial cells, and pericytes, the myocardium harbours all major types of immune cells.61,62 Macrophages represent the major leucocyte population in the heart. Yolk-sac derived macrophages infiltrate the heart during embryogenesis and modulate coronary maturation, most likely by regulating endothelial cells migration via release of insulin-like growth factor 1 and 2.63 The adult heart hosts distinct subsets of macrophages, some of which derive from embryonic progenitors and are capable of self-renewal, while others [characterized by the expression of the chemokine receptor type 2 (CCR2)] arise from circulating monocytes.64 Macrophages are particularly abundant in the cardiac conduction system, where they directly interact with cardiac myocytes via gap junctions formed by connexin 43.65 Macrophages in the atrioventricular node are electrically coupled with and modulate the electrical properties of adjacent cardiac myocytes.65 Ablation of resident cardiac macrophages induces atrioventricular block, demonstrating that macrophages are required for normal electrical conduction in the adult mouse heart.65 In addition, the interaction between resident macrophages and myocytes plays an important homeostatic role in the myocardium, where they remove damaged mitochondria emitted by cardiac myocytes.66

4.2 Inflammation in ischaemic heart disease

Cardiac injury following MI triggers a process of tissue repair, where dead cardiac myocytes are ultimately replaced by a fibrous scar.67 Similar to other wound healing processes, post-MI cardiac repair depends on the sterile inflammatory response developing in the infarcted area,67 which is characterized by a first wave of neutrophil infiltration, followed by inflammatory monocytes that locally differentiate into macrophages.67 T- and B-cells also infiltrate the infarcted heart, albeit in lower amounts.67 In the ischemic heart, inflammatory cells perform a variety of functions promoting both tissue repair and damage. Thus, a fine tuning of the amplitude, timing (i.e. initiation and resolution), and functional quality of the post-MI inflammatory response is a crucial determinant of cardiac repair.

Neutrophils and macrophages promote cardiac healing via phagocytosis, pro-angiogenic activity, active resolution of inflammation, matrix remodelling, and fibroblast activation required for scar formation, but can also promote tissue damage and adverse remodelling via excess proteolysis, interstitial fibrosis, inflammatory cytokines, and ROS production.67 The healthy and infarcted heart contains distinct monocyte/macrophage populations endowed with specific functions and diverse roles in post-MI cardiac repair.34,68 This heterogeneity is highly dynamic, with substantial shifts in monocyte/macrophage subsets, gene expression, and functional capacities over the post-MI time continuum.69–71 Similarly, heterogeneous neutrophil populations are found in the ischemic heart, and time-dependent shifts in neutrophil proteome and transcriptome may also underlie modulation of functions relevant for tissue repair.72 To date, little is known about the metabolic control of neutrophil and monocyte/macrophage function during the various phases of post-MI cardiac repair. Nevertheless, extrapolation of the vast knowledge gathered in other settings places metabolic pathways as potential central regulators of innate immune cell-mediated cardiac repair (reviewed in References73). A recent report notably showed that metabolic reprogramming of macrophages underlies their switch towards a pro-tissue repair phenotype upon efferocytosis.74 Metabolic reprogramming and pro-inflammatory priming associated with trained innate immunity may also poise myeloid cells towards pathogenic functions in ischemic heart repair.75 Finally, macrophages may globally control cardiac metabolic function in stress conditions via their recently proposed role in mitochondrial homeostasis of cardiac myocytes.66

T- and B-cells also have important protective and pathogenic functions in post-MI inflammation. B-cells are mostly thought to be pathogenic via pro-inflammatory functions76 and antibody production.77 Failure to activate antigen-dependent CD4+ T helper cell response hampers post-MI cardiac repair, indicating an overall protective role of T-cells.78 However, similar to the situation in atherosclerosis, T-cell polarization is crucial: Treg have a protective role79,80 while the prototypical Th17 cytokine IL-17A is pathogenic.81 How metabolic control of T-cell polarization82 impacts post-MI cardiac repair remains to be investigated.

4.3 Inflammation in pathological cardiac hypertrophy

Cardiac hypertrophy is an adaptive response that can be induced by different physiological and pathological stressors. Pathological hypertrophy most commonly results from pressure or volume overload, often associated with neurohormonal activation. Common aetiologies include systemic hypertension, valvular disease, and maladaptive remodelling following MI.83 Although a variety of pathological stressors can be involved, and the molecular mechanisms downstream can be manifold, the development of cardiac hypertrophy constantly involves the activation of myocardial resident and peripherally recruited immune cells.84

Our understanding of the mechanisms underlying pathological cardiac hypertrophy derives primarily from mouse models of pressure overload, usually induced by aortic constriction (TAC) or treatment with angiotensin II. Early after TAC, an inflammatory response in the heart is orchestrated by release of ILs and chemokines, which mediate the infiltration of the myocardium by macrophages, T-lymphocytes, and other inflammatory cells.85–89 Importantly, many of the studies that suggest a causal role of macrophage and/or T-cell infiltration for myocardial fibrosis, LV dilation, and dysfunction after TAC were performed in C57BL/6J mice,85–89 which carry a loss-of-function mutation of the mitochondrial nicotinamide nucleotide transhydrogenase (NNT). In the pressure-overloaded heart, reversal of the NNT reaction oxidizes NADPH, thereby ‘stealing’ reducing equivalents from mitochondrial antioxidant systems.90 Therefore, studies in which TAC was performed in the C57BL/6J strain might have underestimated the degree of mitochondrial ROS production90 and inflammation.

Animal studies have exemplified how overexpression or administration of TNF-α, IL-1β, or IL-6 is sufficient to induce cardiac dysfunction, whereas their genetic ablation is protective in various pathological contexts, including pressure overload-induced hypertrophy (reviewed in References84). More recent studies elucidated the role of resident and peripherally recruited myeloid cells in the progression of cardiac hypertrophy towards decompensated HF. Expansion of resident cardiac macrophages and recruitment of circulating monocytes are early events in the development of angiotensin II-induced cardiac hypertrophy.64 Furthermore, angiotensin II induces inflammasome activation in the CCR2+ (peripheral monocytes-derived) subset of cardiac macrophages, thus inducing IL-1β release.64 In fact, neurohormonal activation, and in particular mineralocorticoid receptor signalling, promotes polarization of cardiac macrophages towards the pro-inflammatory M1 phenotype.91

Pathological cardiac hypertrophy also involves the activation of the adaptive immune response. T-cell infiltration was observed in the left ventricular myocardium of patients with aortic stenosis, one of the most common causes of chronic pressure overload in humans.92 In mice, B- and T-cell depletion (by genetic deletion of Rag1 or Rag2) prevents hypertrophy.89 Among T-cell populations, CD4+ T-cells appear to play the most important role in modulating hypertrophic remodelling.89 In particular, Tregs protect from hypertrophic remodelling and fibrosis in mice treated with angiotensin II.93 In conclusion, there is now extensive evidence implicating the innate and adaptive branches of the immune response into the progression of pathological cardiac hypertrophy to overt HF.

4.4 Inflammation in the pathophysiology of diastolic dysfunction

HF with preserved ejection fraction (HFpEF) accounts for already more than 50% of HF cases. The hallmark of HFpEF is diastolic dysfunction, i.e. elevated myocardial stiffness causing an increase in ventricular filling pressures at rest and/or during exercise. Epidemiological studies indicate that HFpEF patients are more often female, of advanced age, and frequently have multiple comorbidities, such as obesity and metabolic syndrome, systemic hypertension, T2DM, and chronic kidney disease.94 It has been proposed that these comorbidities and in particular, metabolic disorders are in fact primary causes of cardiac dysfunction and drive the structural and functional abnormalities observed in HFpEF by inducing a chronic inflammatory state.95,96

HFpEF-related comorbidities, and especially metabolic conditions, are associated with a systemic inflammatory state, which is reflected by elevated circulating levels of pro-inflammatory cytokines. One of the models explaining the pathogenesis of HFpEF holds that this inflammatory milieu induces coronary microvascular endothelial dysfunction, and this in turn hinders myocardial relaxation by altering the elastic properties of the extracellular matrix (ECM) and of cardiac myocytes (Figure 5).96 Recently, Schiattarella et al.97 developed a mouse model of HFpEF by combining metabolic and hypertensive stress. Specifically, they demonstrated that the combination of high-fat diet and NOS inhibition induces a systemic inflammatory state that increases cardiac expression of iNOS. Elevated iNOS activity promotes S-nitrosylation of proteins, inducing the activation of an evolutionary conserved branch of the unfolded protein response.97 Overall, this study established a new mouse model of HFpEF and revealed a mechanism how metabolic stress and inflammation induce diastolic dysfunction in rodents and humans.

Inflammation in the pathophysiology of diastolic dysfunction. Multiple mechanisms link systemic inflammation to diastolic dysfunction. Inflammation induces coronary microvascular dysfunction and enhances myocardial activity of the iNOS, triggering a cascade of events that ultimately affect the stiffness of both the ECM and cardiac myocytes. PKG, protein kinase G.
Figure 5

Inflammation in the pathophysiology of diastolic dysfunction. Multiple mechanisms link systemic inflammation to diastolic dysfunction. Inflammation induces coronary microvascular dysfunction and enhances myocardial activity of the iNOS, triggering a cascade of events that ultimately affect the stiffness of both the ECM and cardiac myocytes. PKG, protein kinase G.

In conclusion, several cardiac and peripheral abnormalities underlie the clinical syndrome of HFpEF, and the heterogeneity of these factors contributes to the complexity of its pathophysiology. Chronic inflammation, and especially the pro-inflammatory milieu associated with obesity and metabolic disorders, might represent the common denominator for many of these pathogenic factors.95

4.5 Inflammation in the pathophysiology of atrial fibrillation

Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with the development of potentially severe complications, including stroke and HF. It has long been known that AF itself induces progressive electrical and structural remodelling of the atria that favour the perpetuation of the arrhythmia (the ‘AF begets AF’ paradigm), and inflammation is emerging as one major contributor to this vicious cycle.98

Levels of inflammatory biomarkers, such as C-reactive protein, IL-6, and TNF are elevated in patients with AF and predict the risk of AF development.99 In addition to systemic inflammatory processes, expansion and inflammation of epicardial adipose tissue has also been associated with AF.100,101 In turn, the fibrillating atrium is a source of inflammation: in fact, levels of inflammatory markers decline after ablation of long-standing persistent AF.102 Preclinical studies have shed light on multiple mechanisms linking cytokines and other inflammatory mediators to AF development. First, some of these mediators can induce structural remodelling of the atria. For instance, cardiac-specific TNF or tissue growth factor (TGF)-β1 overexpression induces atrial fibrosis and thereby increases AF susceptibility in mice.103 In addition, inflammatory mediators can directly affect the electrophysiological properties of cardiac myocytes by activating the NLRP3 inflammasome. Two recent studies demonstrated that constitutive activation of the NLRP3 inflammasome elicits atrial ectopic activity and enhances AF inducibility in mice.104,105 Accordingly, AF patients exhibit increased expression of the NLRP3 inflammasome components compared with individuals in sinus rhythm.104,105

Overall, there is substantial evidence that inflammatory signalling is involved in the development of AF. An important and, thus far, overlooked question concerns the role of specific immune cell populations in this context. In fact, an increased infiltration of inflammatory cells in the atrial myocardium of patients with AF has been documented, but their pathophysiological role is unclear.106 The above-mentioned studies implicating cardiac macrophages in electrical conduction suggest that resident and peripherally recruited immune cells might also contribute to arrhythmogenesis.

4.6 Inflammation in the pathophysiology of hereditary cardiomyopathies

Inherited cardiomyopathies are characterized by broad genetic heterogeneity, with mutations in more than 70 genes encoding proteins expressed in a wide variety of sub-cellular systems.107 However, the cardiomyopathy phenotype is ultimately determined by complex interactions between genes, environment, the immune system, and acquired disorders.108–110

Chronic myocardial inflammation can be observed in most forms of genetic cardiomyopathies, including arrhythmogenic and dilated cardiomyopathy (ACM and DCM, respectively), and to a lesser extent in hypertrophic cardiomyopathy. Clinical presentations consistent with acute myocarditis were observed in families with ACM due to mutations in desmosomal proteins, in particular in the intermediate filament protein desmoplakin.111–113 Elevated plasma troponin levels and signs of inflammation documented by cardiac magnetic resonance and 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging indicate the presence of an inflammatory process in patients with confirmed ACM.114–116 This is in agreement with histology studies that documented the presence of inflammatory cells in the myocardium of ACM patients. However, it is unclear if immune cells are resident or recruited from the circulation.117,118 Mouse models of inherited ACM and DCM demonstrated that sterile myocardial inflammation characterized by infiltration of macrophages and CD4+ T-cells is a key feature even at early stages of the disease. Hypothetically, early myocardial damage may enhance inflammation and promote fibrosis and fibrofatty replacement, and in parallel the immune system may produce auto-antibodies directed against myocardial antigens. A recent study demonstrated anti-heart auto-antibodies in the majority of familial and in almost half of sporadic ACM probands, indicating the development of an autoimmune response.119 Earlier studies on familial DCM also showed that anti-heart auto-antibodies play a role in familial DCM.120 Further, viral infections can exacerbate the progression of DCM, e.g. in Duchenne muscular dystrophy, due to an interaction between viral proteases and cytoskeletal proteins.121

In conclusion, the mechanistic links between genetic cardiomyopathy and inflammatory processes remain unclear. It needs to be investigated whether the mutation per se is sufficient to cause inflammation and activate the immune system, or the innate immune response maintains low-grade chronic cardiac inflammation and triggers factors, such as viral infections, toxic stimuli, or autoimmune disease in genetically predisposed individuals.108 Even more important, it must be clarified whether inflammation is directly affecting sub-cellular structures involved in the progression of cardiomyopathy, such as cell–cell contacts in ACM or cytoskeletal proteins in DCM, or is just a bystander.

5. Novel therapeutic horizons

5.1 Anti-inflammatory medications in CV disease

A large body of preclinical evidence indicates that therapeutic interventions blocking excessive inflammation reduce the risk of MI and consequent progression to HF. However, the tightly controlled balance between pro- and anti-inflammatory mechanisms is essential for wound healing after MI. Therefore, inflammation cannot be simply regarded as a maladaptive process, especially in the early stages after MI. Key questions on timing, duration, and on the identification of patients that would benefit from an immuno-therapeutic intervention are still open and cannot be properly addressed in the standard rodent models of MI. Therefore, we currently face huge translational roadblocks, which have slowed the advancement of the field for a long time.

Biopsy-proven non-infectious or virus-negative inflammatory cardiomyopathy seems to be the most reasonable target for immuno-modulatory therapy. However, the mainstay of treatment remains standard therapy of HF with reduced ejection fraction (HFrEF), while the use of immuno-modulatory treatments has long been considered controversial, especially for conditions other than sarcoidosis, eosinophilic, or giant cell myocarditis. Steroids and azathioprine have been tested in patients with virus-negative inflammatory cardiomyopathy in the prospective randomized TIMIC122 and several subsequent observational clinical trials. Based on these results, steroids and azathioprine represent the only immuno-modulatory therapy of choice. Evidence for a potential clinical benefit of other immuno-suppressants in virus-negative myocarditis is almost anecdotal.123

Recently, the CANTOS trial showed that pharmacological blockade of IL-1β reduces the risk of recurrent vascular events, HF hospitalization, and mortality in patients with prior MI,124 lending renewed support to the hypothesis that inflammation is a promising therapeutic target in patients after MI. However, the CANTOS trial was primarily designed to test the hypothesis that anti-IL-1β treatment reduces the incidence of vascular events in patients with a recent MI,3 and the data on HF are derived from a secondary endpoint analysis. Therefore, the patient cohort was not properly characterized with respect to the prevalence and aetiology of baseline and incident HF. There is a limited number of clinical trials specifically designed to study the impact of drugs interfering with inflammation on HF-related endpoints (reviewed in References125,126). Of note, none of these trials showed a convincing benefit leading to translation of the related approach into the standard HF treatment algorithm. Moreover, most of these trials were conducted more than a decade ago and comprised only a small number of patients.

Preclinical studies have raised hopes for new immuno-modulatory approaches that target very different components of the immune system relevant for both atherosclerosis and ischemic HF. However, our understanding of the therapeutic potential of immuno-modulation in non-ischemic HF and especially in inherited cardiomyopathies is still rudimentary. Considering the resources needed to conduct an early clinical trial or even a HF outcome trial, it is currently a major challenge to select promising approaches as advanced translational data, e.g. from large animal experiments, are currently widely lacking. The innate immune system offers a plethora of therapeutic targets, including soluble mediators like chemokines and cytokines, upstream activation pathways like pattern recognition receptors and inflammasomes, and regulators of leucocyte migration that merit further translational studies. Besides these targeted approaches, broader anti-inflammatory interventions include drugs like adenosine receptor agonists and methotrexate that modulate the activity of leucocytes and non-leucocytes. Of note, compounds approved for clinical application are available for many of these targets, as they have been developed for other indications. However, only a minority of these were tested in advanced preclinical or early clinical trials. For instance, a variety of drugs modulating adaptive immunity by targeting T- and B-cells is available for clinical use. The ongoing RITA-MI trial tests the safety of B-cell depletion after MI using rituximab, a well-established anti-CD20 antibody. A safety trial on the use of IL-2 in post-MI patients was just completed.127 Another interesting approach is the interference with lymphocyte migration by pharmacological agonists of the sphingosine-1-phosphate receptor 1, which are approved for treatment of multiple sclerosis. The largest body of evidence exists for the compound fingolimod, which exerts direct cardioprotective effects beyond it activity on leucocytes.128

5.2 Targeting metabolism to modulate inflammation

For a long time, treating patients with diabetes was a therapeutic dilemma because before 2015, hardly any improvement of CV endpoints could be achieved, and even an increased risk of HF was observed that was traced to the effects of glitazones.129 Meanwhile, we learned that also insulin is associated with worse outcome in patients with HF.130,131 A major breakthrough in the treatment of diabetes was achieved with SGLT2 inhibitors, which substantially reduce HF hospitalization and CV mortality in patients with diabetes132 and more recently, even in patients with HFrEF with or without diabetes.7,8 The modes of action how SGLT2 inhibitors improve outcome in patients with HF but without diabetes are presently incompletely resolved, but may involve off-target effects on cardiac ion handling and/or substrate utilization.133 SGLT2 inhibitors increase circulating ketones in patients with diabetes, and some studies suggest that this may optimize cardiac fuel utilization and/or efficiency.134,135 Interestingly, ketones inhibit inflammasome activation independent of their property as a metabolic fuel.136 On the other hand, SGLT2 inhibition ameliorates NLPR3 inflammasome activation independent of alterations of ketone levels in a HFrEF model.137 While canagliflozin lowers circulating IL-1β in bone marrow-derived macrophages,138 empagliflozin boosts antioxidative defence systems in leucocytes in patients with diabetes, which is associated with increased plasma levels of IL-10, but lower C-reactive protein and myeloperoxidase levels.139 And finally, also other anti-diabetic drugs, such as dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 analogs, exert anti-inflammatory effects.6 Taken together, it is likely that targeting metabolism may at least to some extent exert protective effects on the CV system by ameliorating maladaptive inflammation.

6. Technological advances to monitor inflammation and metabolism

6.1 Single-cell analysis in CV inflammation

Fast-paced advances in single-cell genomics technologies now allow to analyse genome, epigenome, transcriptome, and cell surface proteome of individual cells, and some of these features can be even assessed simultaneously with specific multimodal methods (e.g. genome and transcriptome, cell surface proteome and transcriptome).140,141 These novel methods constitute invaluable tools to investigate gene expression and its regulation, intercellular communication, and dynamics of cell differentiation and activation in health and disease with unprecedented resolution. Integration of single-cell genomics analysis with spatially resolved transcriptomic methods142 further enables to precisely localize where specific cellular processes occur within the tissue anatomy.140

The use of single-cell technologies in CV research is still at its infancy, and has been mostly limited to single-cell RNA-seq (scRNA-seq) transcriptome analysis. Nevertheless, numerous scRNA-seq studies have already greatly improved our understanding of immune cell states and inflammatory dynamics in atherosclerosis and HF.143 Single-cell analysis has refined our knowledge of macrophage heterogeneity in the steady state and infarcted heart, revealing discrete tissue resident and monocyte-derived macrophage subsets with potentially distinct functional capacities and impact on post-MI tissue repair.34,68,144,145 Recent scRNA-seq studies have further characterized the precise gene expression dynamics in monocytes, macrophages, and neutrophils over the post-MI time continuum.70,146 scRNA-seq has also been used to uncover immune activation patterns in pressure overload-induced HF.147 In humans, scRNA-seq analyses of immune and non-immune cells extracted from the healthy or diseased heart148 have been performed, but are so far limited to a small number of patients and analysed cells.

Recently developed single-cell technologies appear especially attractive to investigate inflammatory cell states and dynamics in CV disease in clinical studies and experimental models. Single-nucleus RNA-seq allows measurement of transcript levels in nuclei extracted from frozen tissues, and is thus particularly suited to analyse biobank-archived patient tissues.149 Lineage tracing at the single-cell level in experimental models150 and humans151 could enable to reconstruct immune cell differentiation and activation trajectories in CV disease. Single-cell transcriptomic analysis with simultaneous detection of cell surface epitopes using e.g. CITE-seq152 allows precise characterization of leucocytes in patients and experimental models, and complements other high-dimensional immune profiling approaches, such as cytometry by time-of-flight.153 Together with the development of cost-effective methods to analyse large cell numbers, and new computational tools allowing integration of single-cell gene expression data across technologies and independent studies,140 advances in single-cell technologies will undoubtedly play a crucial role in the systematic and detailed unravelling of inflammatory processes in CV diseases.

6.2 Metabolomics

Multiple targeted approaches are available to assess metabolism of immune cells, such as fluorescently labelled glucose and FAs, radioactively labelled metabolites, and analysis of oxygen consumption and extracellular acidification as a measure of respiration and glycolysis, respectively.154 Novel metabolic signatures are typically identified using unbiased metabolic analyses based on mass-spectrometry approaches. These techniques were instrumental to reveal the accumulation of succinate and itaconate and the role of these metabolites in inducing the pro-inflammatory activation of macrophages.20,32 To assess metabolic rates and direction of fluxes in immune cells, mass spectrometry has been used to evaluate the metabolic turnover of stable isotope-labelled metabolites. These targeted approaches allow assessment of acetate, serine, glutamine, arginine, or glucose.155–158 Furthermore, new approaches obtain accurate measurement of cellular metabolism in high-throughput processes at a single-cell resolution.159 Current methods include profiling, in which a single metabolic signature is collected from each cell, and imaging methods that visualize metabolite distributions within a cell or tissue.160 Single-cell metabolomics has been used to characterize changes in host cell metabolic pathways upon virus interaction.161 These technological advancements pave the way to obtaining metabolic profiles of infiltrating immune cells in patient samples or cardiac tissue of animal models in single-cell resolution. Characterizing cellular metabolism across heterogeneous cell populations under homeostatic and pathological conditions will help understanding the impact of metabolic changes in human disease.

6.3 Nuclear imaging of inflammation and metabolism

Advanced nuclear cardiology imaging with targeted radionuclide tracers is another important technology in CV precision medicine. Beyond conventional imaging techniques detecting morphological contrasts, molecular imaging using radionuclide tracers visualizes physiological and pathological processes at cellular and sub-cellular levels within intact living organisms, from animal disease models to humans. Single-photon emission computed tomography (SPECT) and PET are widely used for both research and clinical purposes. Recent advances in engineering enabled high-resolution imaging also in the heart of small rodents. Furthermore, state-of-the-art clinical PET systems with digital photomultipliers and fast electronics with time-of-flight reconstruction offer investigation of 4-dimensional (3-dimensional + time sequence) cardiac biology and physiology with significantly improved imaging quality and accuracy compared to SPECT.162 Another essential component is the introduction of tracers with high binding affinity, specificity to the target molecule, and high in vivo metabolic stability.

The development of radionuclide imaging probes that are sensitive and robust enough to detect size and severity of cardiac inflammatory lesions still remains challenging. Many tracers have been tested for imaging inflammation, but only few agents are available in the clinical arena. The most commonly used is the glucose analogue PET tracer FDG. Enhanced FDG uptake in the inflamed tissue is secondary to increased glucose metabolism from inflammatory cells, such as macrophages, and increased metabolic activity of resident cells in response to inflammation.163 The presence of physiological background activity from myocytes is the major disadvantage for the cardiac application of FDG. Several other promising probes targeting specific cardiac inflammatory processes, such as infiltration of neutrophils, macrophages, and fibroblasts, as wells as angiogenesis and exposure of ECM have been reported, but remain mostly at an experimental stage and need further clinical evaluation.164

Radionuclide imaging of energy substrate metabolism is relatively well-established and enables assessment of FA metabolism, glucose metabolism, and myocardial oxygen consumption using distinct tracers (for recent reviews see References165,166). Among those tracers,121 I-beta-methyl-p-iodophenyl-methylpentadecanoic acid (BMIPP) is one of the most established SPECT tracers for measurement of myocardial FA uptake. The alkyl branching structure of BMIPP is designed to inhibit β-ox, thereby increasing tracer retention into the lipid pool of myocytes and improving signals from the heart. In a recent clinical study, patients with HFpEF underwent BMIPP SPECT imaging and were assessed with summed defect score based on the number of segments and degree of tracer uptake in the heart.167 A positive correlation between defect score and major adverse cardiac events was observed, suggesting that defective BMIPP uptake might represent a negative prognostic marker in patients with HFpEF. The potential use of BMIPP in risk stratification of HF patients was assessed in a small number of clinical trials.167 More recently, a promising new class of FA PET tracers specifically targeting β-ox was introduced, i.e. 18-18F-fluoro-4-thia-oleate and its analogues.168 They are structurally modified FA analogues with sulphur heteroatom substitutions in order to undergo metabolic trapping subsequent to β-ox in mitochondria, while non-oxidative retention of radioactivity in lipid storage is very low. These novel specific 18F-labelled PET tracers, which inherited all advantages of high sensitivity PET imaging and the cost-effectiveness/protocol flexibility of 18F radionuclide, might open a door for reliable quantification of FA oxidation in basic research and clinical practice.

7. Conclusions

Taken together, after nearly three decades of considerable advancements on how to improve outcome of patients with CV diseases by targeting neuroendocrine activation, we are currently entering a new era of treatments in which we are at the doorstep to revealing how to best target inflammation and/or metabolism. Advanced in vitro and in vivo technologies have broadened our understanding of these emerging fields and brought to light novel treatment concepts. Ongoing and future research should therefore be directed towards elucidating this exiting interface between inflammation and metabolism, further emphasizing the requirement of interdisciplinary research efforts not only for basic, but also clinical and translational concepts.

Authors’ contributions

All authors gave substantial contributions to the work by drafting the manuscript or revising it critically for important intellectual content, approved the final version to be published, and agreed to be accountable for all aspects of the work.

Conflict of interest: C.M. received speaker honoraria from AstraZeneca, Bayer, Berlin Chemie, Boehringer Ingelheim, Novartis, Servier and served as an advisor to Amgen, Boehringer Ingelheim, NovoNordisk and Servier. S.F. received speaker honoraria and served as an advisor for Novartis. U.H. received speaker honoraria from AstraZeneca and Boehringer Ingelheim. The other authors have no conflicts of interest.

Funding

C.C., J.D., G.R., B.G., T.H., S.F., U.H., and C.M. all received funding from the Federal Ministry of Education and Research for the Comprehensive Heart Failure Center (BMBF; 01EO1504). A.Z. is supported by the German Research Foundation [Deutsche Forschungsgemeinschaft (DFG), 374031971—TRR 240, 324392634—TR221, ZE827/13-1, 14-1, and 16-1]. A.Z. and C.C. are supported by the Interdisciplinary Center for Clinical Research [Interdisziplinäres Zentrum für Klinische Forschung (IZKF)], University Hospital Würzburg (A.Z.: E-352 and A-384; C.C. project IZKF-E-353). C.M. is supported by the German Research Foundation (DFG; Ma 2528/7-1; SFB 894, TRR 219) and the Barth Syndrome Foundation. J.D. is supported by the German Research Foundation (DFG; DU1839/2-1) and the Barth Syndrome Foundation. U.H. is supported by the German Research Foundation (DFG; HO5343/5).

References

1

Morbach
C
,
Gelbrich
G
,
Tiffe
T
,
Eichner
FA
,
Christa
M
,
Mattern
R
,
Breunig
M
,
Cejka
V
,
Wagner
M
,
Heuschmann
PU
,
Störk
S.
 
Prevalence and determinants of the precursor stages of heart failure: results from the population-based STAAB cohort study
.
Eur J Prev Cardiol
 
2020
;
2047487320922636
.

2

Störk
S
,
Hense
HW
,
Zentgraf
C
,
Uebelacker
I
,
Jahns
R
,
Ertl
G
,
Angermann
CE.
 
Pharmacotherapy according to treatment guidelines is associated with lower mortality in a community-based sample of patients with chronic heart failure: a prospective cohort study
.
Eur J Heart Fail
 
2008
;
10
:
1236
1245
.

3

Ridker
PM
,
Everett
BM
,
Thuren
T
,
MacFadyen
JG
,
Chang
WH
,
Ballantyne
C
,
Fonseca
F
,
Nicolau
J
,
Koenig
W
,
Anker
SD
,
Kastelein
JJP
,
Cornel
JH
,
Pais
P
,
Pella
D
,
Genest
J
,
Cifkova
R
,
Lorenzatti
A
,
Forster
T
,
Kobalava
Z
,
Vida-Simiti
L
,
Flather
M
,
Shimokawa
H
,
Ogawa
H
,
Dellborg
M
,
Rossi
PRF
,
Troquay
RPT
,
Libby
P
,
Glynn
RJ
,
Group
CT.
 
Antiinflammatory therapy with canakinumab for atherosclerotic disease
.
N Engl J Med
 
2017
;
377
:
1119
1131
.

4

Tardif
J-C
,
Kouz
S
,
Waters
DD
,
Bertrand
OF
,
Diaz
R
,
Maggioni
AP
,
Pinto
FJ
,
Ibrahim
R
,
Gamra
H
,
Kiwan
GS
,
Berry
C
,
López-Sendón
J
,
Ostadal
P
,
Koenig
W
,
Angoulvant
D
,
Grégoire
JC
,
Lavoie
M-A
,
Dubé
M-P
,
Rhainds
D
,
Provencher
M
,
Blondeau
L
,
Orfanos
A
,
L’Allier
PL
,
Guertin
M-C
,
Roubille
F.
 
Efficacy and safety of low-dose colchicine after myocardial infarction
.
N Engl J Med
 
2019
;
381
:
2497
2505
.

5

Nidorf
SM
,
Fiolet
ATL
,
Mosterd
A
,
Eikelboom
JW
,
Schut
A
,
Opstal
TSJ
,
The
SHK
,
Xu
XF
,
Ireland
MA
,
Lenderink
T
,
Latchem
D
,
Hoogslag
P
,
Jerzewski
A
,
Nierop
P
,
Whelan
A
,
Hendriks
R
,
Swart
H
,
Schaap
J
,
Kuijper
AFM
,
van Hessen
MWJ
,
Saklani
P
,
Tan
I
,
Thompson
AG
,
Morton
A
,
Judkins
C
,
Bax
WA
,
Dirksen
M
,
Alings
M
,
Hankey
GJ
,
Budgeon
CA
,
Tijssen
JGP
,
Cornel
JH
,
Thompson
PL.
 
Colchicine in patients with chronic coronary disease
.
N Engl J Med
 
2020
;
383
:
1838
1847
.

6

Maack
C
,
Lehrke
M
,
Backs
J
,
Heinzel
FR
,
Hulot
JS
,
Marx
N
,
Paulus
WJ
,
Rossignol
P
,
Taegtmeyer
H
,
Bauersachs
J
,
Bayes-Genis
A
,
Brutsaert
D
,
Bugger
H
,
Clarke
K
,
Cosentino
F
,
De Keulenaer
G
,
Dei Cas
A
,
Gonzalez
A
,
Huelsmann
M
,
Iaccarino
G
,
Lunde
IG
,
Lyon
AR
,
Pollesello
P
,
Rena
G
,
Riksen
NP
,
Rosano
G
,
Staels
B
,
van Laake
LW
,
Wanner
C
,
Farmakis
D
,
Filippatos
G
,
Ruschitzka
F
,
Seferovic
P
,
de Boer
RA
,
Heymans
S.
 
Heart failure and diabetes: metabolic alterations and therapeutic interventions: a state-of-the-art review from the Translational Research Committee of the Heart Failure Association-European Society of Cardiology
.
Eur Heart J
 
2018
;
39
:
4243
4254
.

7

Zinman
B
,
Wanner
C
,
Lachin
JM
,
Fitchett
D
,
Bluhmki
E
,
Hantel
S
,
Mattheus
M
,
Devins
T
,
Johansen
OE
,
Woerle
HJ
,
Broedl
UC
,
Inzucchi
SE
, EMPA-REG OUTCOME Investigators.
Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes
.
N Engl J Med
 
2015
;
373
:
2117
2128
.

8

Packer
M
,
Anker
SD
,
Butler
J
,
Filippatos
G
,
Pocock
SJ
,
Carson
P
,
Januzzi
J
,
Verma
S
,
Tsutsui
H
,
Brueckmann
M
,
Jamal
W
,
Kimura
K
,
Schnee
J
,
Zeller
C
,
Cotton
D
,
Bocchi
E
,
Böhm
M
,
Choi
DJ
,
Chopra
V
,
Chuquiure
E
,
Giannetti
N
,
Janssens
S
,
Zhang
J
,
Gonzalez Juanatey
JR
,
Kaul
S
,
Brunner-La Rocca
HP
,
Merkely
B
,
Nicholls
SJ
,
Perrone
S
,
Pina
I
,
Ponikowski
P
,
Sattar
N
,
Senni
M
,
Seronde
MF
,
Spinar
J
,
Squire
I
,
Taddei
S
,
Wanner
C
,
Zannad
F.
 
Cardiovascular and renal outcomes with empagliflozin in heart failure
.
N Engl J Med
 
2020
;
383
:
1413
1424
.

9

Zhou
R
,
Yazdi
AS
,
Menu
P
,
Tschopp
J.
 
A role for mitochondria in NLRP3 inflammasome activation
.
Nature
 
2011
;
469
:
221
225
.

10

Rambold
AS
,
Pearce
EL.
 
Mitochondrial dynamics at the interface of immune cell metabolism and function
.
Trends Immunol
 
2018
;
39
:
6
18
.

11

Nizet
V
,
Johnson
RS.
 
Interdependence of hypoxic and innate immune responses
.
Nat Rev Immunol
 
2009
;
9
:
609
617
.

12

Tiku
V
,
Tan
MW
,
Dikic
I.
 
Mitochondrial functions in infection and immunity
.
Trends Cell Biol
 
2020
;
30
:
263
275
.

13

Sheedy
FJ
,
Grebe
A
,
Rayner
KJ
,
Kalantari
P
,
Ramkhelawon
B
,
Carpenter
SB
,
Becker
CE
,
Ediriweera
HN
,
Mullick
AE
,
Golenbock
DT
,
Stuart
LM
,
Latz
E
,
Fitzgerald
KA
,
Moore
KJ.
 
CD36 coordinates NLRP3 inflammasome activation by facilitating intracellular nucleation of soluble ligands into particulate ligands in sterile inflammation
.
Nat Immunol
 
2013
;
14
:
812
820
.

14

Freigang
S
,
Ampenberger
F
,
Weiss
A
,
Kanneganti
TD
,
Iwakura
Y
,
Hersberger
M
,
Kopf
M.
 
Fatty acid-induced mitochondrial uncoupling elicits inflammasome-independent IL-1α and sterile vascular inflammation in atherosclerosis
.
Nat Immunol
 
2013
;
14
:
1045
1053
.

15

Ryan
DG
,
Murphy
MP
,
Frezza
C
,
Prag
HA
,
Chouchani
ET
,
O’Neill
LA
,
Mills
EL.
 
Coupling Krebs cycle metabolites to signalling in immunity and cancer
.
Nat Metab
 
2019
;
1
:
16
33
.

16

Fukuzumi
M
,
Shinomiya
H
,
Shimizu
Y
,
Ohishi
F
,
Utsumi
S.
 
Endotoxin-induced enhancement of glucose influx into murine peritoneal macrophages via GLUT1
.
Infect Immun
 
1996
;
64
:
108
112
.

17

Semba
H
,
Takeda
N
,
Isagawa
T
,
Sugiura
Y
,
Honda
K
,
Wake
M
,
Miyazawa
H
,
Yamaguchi
Y
,
Miura
M
,
Jenkins
DM
,
Choi
H
,
Kim
JW
,
Asagiri
M
,
Cowburn
AS
,
Abe
H
,
Soma
K
,
Koyama
K
,
Katoh
M
,
Sayama
K
,
Goda
N
,
Johnson
RS
,
Manabe
I
,
Nagai
R
,
Komuro
I.
 
HIF-1α-PDK1 axis-induced active glycolysis plays an essential role in macrophage migratory capacity
.
Nat Commun
 
2016
;
7
:
11635.

18

Freemerman
AJ
,
Johnson
AR
,
Sacks
GN
,
Milner
JJ
,
Kirk
EL
,
Troester
MA
,
Macintyre
AN
,
Goraksha-Hicks
P
,
Rathmell
JC
,
Makowski
L.
 
Metabolic reprogramming of macrophages: glucose transporter 1 (GLUT1)-mediated glucose metabolism drives a proinflammatory phenotype
.
J Biol Chem
 
2014
;
289
:
7884
7896
.

19

Palsson-McDermott
EM
,
Curtis
AM
,
Goel
G
,
Lauterbach
MAR
,
Sheedy
FJ
,
Gleeson
LE
,
van den Bosch
MWM
,
Quinn
SR
,
Domingo-Fernandez
R
,
Johnston
DGW
,
Jiang
J-K
,
Israelsen
WJ
,
Keane
J
,
Thomas
C
,
Clish
C
,
Vander Heiden
M
,
Xavier
RJ
,
O’Neill
LAJ.
 
Pyruvate kinase M2 regulates Hif-1 alpha activity and IL-1 beta induction and is a critical determinant of the Warburg effect in LPS-activated macrophages
.
Cell Metab
 
2015
;
21
:
347
347
.

20

Lampropoulou
V
,
Sergushichev
A
,
Bambouskova
M
,
Nair
S
,
Vincent
EE
,
Loginicheva
E
,
Cervantes-Barragan
L
,
Ma
X
,
Huang
SC
,
Griss
T
,
Weinheimer
CJ
,
Khader
S
,
Randolph
GJ
,
Pearce
EJ
,
Jones
RG
,
Diwan
A
,
Diamond
MS
,
Artyomov
MN.
 
Itaconate links inhibition of succinate dehydrogenase with macrophage metabolic remodeling and regulation of inflammation
.
Cell Metab
 
2016
;
24
:
158
166
.

21

Tannahill
GM
,
Curtis
AM
,
Adamik
J
,
Palsson-McDermott
EM
,
McGettrick
AF
,
Goel
G
,
Frezza
C
,
Bernard
NJ
,
Kelly
B
,
Foley
NH
,
Zheng
L
,
Gardet
A
,
Tong
Z
,
Jany
SS
,
Corr
SC
,
Haneklaus
M
,
Caffrey
BE
,
Pierce
K
,
Walmsley
S
,
Beasley
FC
,
Cummins
E
,
Nizet
V
,
Whyte
M
,
Taylor
CT
,
Lin
H
,
Masters
SL
,
Gottlieb
E
,
Kelly
VP
,
Clish
C
,
Auron
PE
,
Xavier
RJ
,
O’Neill
LAJ.
 
Succinate is an inflammatory signal that induces IL-1β through HIF-1α
.
Nature
 
2013
;
496
:
238
242
.

22

Mills
EL
,
Kelly
B
,
O'Neill
LAJ.
 
Mitochondria are the powerhouses of immunity
.
Nat Immunol
 
2017
;
18
:
488
498
.

23

Qualls
JE
,
Subramanian
C
,
Rafi
W
,
Smith
AM
,
Balouzian
L
,
DeFreitas
AA
,
Shirey
KA
,
Reutterer
B
,
Kernbauer
E
,
Stockinger
S
,
Decker
T
,
Miyairi
I
,
Vogel
SN
,
Salgame
P
,
Rock
CO
,
Murray
PJ.
 
Sustained generation of nitric oxide and control of mycobacterial infection requires argininosuccinate synthase 1
.
Cell Host Microbe
 
2012
;
12
:
313
323
.

24

Liu
PS
,
Wang
H
,
Li
X
,
Chao
T
,
Teav
T
,
Christen
S
,
Di Conza
G
,
Cheng
WC
,
Chou
CH
,
Vavakova
M
,
Muret
C
,
Debackere
K
,
Mazzone
M
,
Huang
HD
,
Fendt
SM
,
Ivanisevic
J
,
Ho
PC.
 
alpha-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming
.
Nat Immunol
 
2017
;
18
:
985
994
.

25

Odegaard
JI
,
Ricardo-Gonzalez
RR
,
Goforth
MH
,
Morel
CR
,
Subramanian
V
,
Mukundan
L
,
Red Eagle
A
,
Vats
D
,
Brombacher
F
,
Ferrante
AW
,
Chawla
A.
 
Macrophage-specific PPARgamma controls alternative activation and improves insulin resistance
.
Nature
 
2007
;
447
:
1116
1120
.

26

Vats
D
,
Mukundan
L
,
Odegaard
JI
,
Zhang
L
,
Smith
KL
,
Morel
CR
,
Wagner
RA
,
Greaves
DR
,
Murray
PJ
,
Chawla
A.
 
Oxidative metabolism and PGC-1beta attenuate macrophage-mediated inflammation
.
Cell Metab
 
2006
;
4
:
13
24
.

27

Treuter
E
,
Fan
R
,
Huang
Z
,
Jakobsson
T
,
Venteclef
N.
 
Transcriptional repression in macrophages-basic mechanisms and alterations in metabolic inflammatory diseases
.
FEBS Lett
 
2017
;
591
:
2959
2977
.

28

A-González
N
,
Castrillo
A.
 
Liver X receptors as regulators of macrophage inflammatory and metabolic pathways
.
BBA Mol Basis Dis
 
2011
;
1812
:
982
994
.

29

Clementi
E
,
Brown
GC
,
Feelisch
M
,
Moncada
S.
 
Persistent inhibition of cell respiration by nitric oxide: crucial role of S-nitrosylation of mitochondrial complex I and protective action of glutathione
.
Proc Natl Acad Sci USA
 
1998
;
95
:
7631
7636
.

30

Garaude
J
,
Acín-Pérez
R
,
Martínez-Cano
S
,
Enamorado
M
,
Ugolini
M
,
Nistal-Villán
E
,
Hervás-Stubbs
S
,
Pelegrín
P
,
Sander
LE
,
Enríquez
JA
,
Sancho
D.
 
Mitochondrial respiratory-chain adaptations in macrophages contribute to antibacterial host defense
.
Nat Immunol
 
2016
;
17
:
1037
1045
.

31

West
AP
,
Brodsky
IE
,
Rahner
C
,
Woo
DK
,
Erdjument-Bromage
H
,
Tempst
P
,
Walsh
MC
,
Choi
Y
,
Shadel
GS
,
Ghosh
S.
 
TLR signalling augments macrophage bactericidal activity through mitochondrial ROS
.
Nature
 
2011
;
472
:
476
480
.

32

Mills
EL
,
Kelly
B
,
Logan
A
,
Costa
ASH
,
Varma
M
,
Bryant
CE
,
Tourlomousis
P
,
Däbritz
JHM
,
Gottlieb
E
,
Latorre
I
,
Corr
SC
,
McManus
G
,
Ryan
D
,
Jacobs
HT
,
Szibor
M
,
Xavier
RJ
,
Braun
T
,
Frezza
C
,
Murphy
MP
,
O’Neill
LA.
 
Succinate dehydrogenase supports metabolic repurposing of mitochondria to drive inflammatory macrophages
.
Cell
 
2016
;
167
:
457
470.E13
.

33

Kelly
B
,
Tannahill
GM
,
Murphy
MP
,
O'Neill
LAJ.
 
Metformin inhibits the production of reactive oxygen species from NADH: ubiquinone oxidoreductase to limit induction of interleukin-1 beta (IL-1 beta) and boosts interleukin-10 (IL-10) in lipopolysaccharide (LPS)-activated macrophages
.
J Biol Chem
 
2015
;
290
:
20348
20359
.

34

Peet
C
,
Ivetic
A
,
Bromage
DI
,
Shah
AM.
 
Cardiac monocytes and macrophages after myocardial infarction
.
Cardiovasc Res
 
2019
;
116
:
1101
1112
.

35

Pearce
EL
,
Poffenberger
MC
,
Chang
CH
,
Jones
RG.
 
Fueling immunity: insights into metabolism and lymphocyte function
.
Science
 
2013
;
342
:
1242454
1242454
.

36

Vaeth
M
,
Maus
M
,
Klein-Hessling
S
,
Freinkman
E
,
Yang
J
,
Eckstein
M
,
Cameron
S
,
Turvey
SE
,
Serfling
E
,
Berberich-Siebelt
F
,
Possemato
R
,
Feske
S.
 
Store-operated Ca(2+) entry controls clonal expansion of T cells through metabolic reprogramming
.
Immunity
 
2017
;
47
:
664–679.E6
.

37

Klein-Hessling
S
,
Muhammad
K
,
Klein
M
,
Pusch
T
,
Rudolf
R
,
Flöter
J
,
Qureischi
M
,
Beilhack
A
,
Vaeth
M
,
Kummerow
C
,
Backes
C
,
Schoppmeyer
R
,
Hahn
U
,
Hoth
M
,
Bopp
T
,
Berberich-Siebelt
F
,
Patra
A
,
Avots
A
,
Müller
N
,
Schulze
A
,
Serfling
E.
 
NFATc1 controls the cytotoxicity of CD8(+) T cells
.
Nat Commun
 
2017
;
8
:
8
511
.

38

Wang
R
,
Dillon
CP
,
Shi
LZ
,
Milasta
S
,
Carter
R
,
Finkelstein
D
,
McCormick
LL
,
Fitzgerald
P
,
Chi
H
,
Munger
J
,
Green
DR.
 
The transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
.
Immunity
 
2011
;
35
:
871
882
.

39

Jacobs
SR
,
Herman
CE
,
Maciver
NJ
,
Wofford
JA
,
Wieman
HL
,
Hammen
JJ
,
Rathmell
JC.
 
Glucose uptake is limiting in T cell activation and requires CD28-mediated Akt-dependent and independent pathways
.
J Immunol
 
2008
;
180
:
4476
4486
.

40

Carr
EL
,
Kelman
A
,
Wu
GS
,
Gopaul
R
,
Senkevitch
E
,
Aghvanyan
A
,
Turay
AM
,
Frauwirth
KA.
 
Glutamine uptake and metabolism are coordinately regulated by ERK/MAPK during T lymphocyte activation
.
J Immunol
 
2010
;
185
:
1037
1044
.

41

Swamy
M
,
Pathak
S
,
Grzes
KM
,
Damerow
S
,
Sinclair
LV
,
van Aalten
DM
,
Cantrell
DA.
 
Glucose and glutamine fuel protein O-GlcNAcylation to control T cell self-renewal and malignancy
.
Nat Immunol
 
2016
;
17
:
712
720
.

42

Raud
B
,
Roy
DG
,
Divakaruni
AS
,
Tarasenko
TN
,
Franke
R
,
Ma
EH
,
Samborska
B
,
Hsieh
WY
,
Wong
AH
,
Stuve
P
,
Arnold-Schrauf
C
,
Guderian
M
,
Lochner
M
,
Rampertaap
S
,
Romito
K
,
Monsale
J
,
Bronstrup
M
,
Bensinger
SJ
,
Murphy
AN
,
McGuire
PJ
,
Jones
RG
,
Sparwasser
T
,
Berod
L.
 
Etomoxir actions on regulatory and memory T cells are independent of Cpt1a-mediated fatty acid oxidation
.
Cell Metab
 
2018
;
28
:
504
515.E7
.

43

Buck
MD
,
O’Sullivan
D
,
Klein Geltink
RI
,
Curtis
JD
,
Chang
C-H
,
Sanin
DE
,
Qiu
J
,
Kretz
O
,
Braas
D
,
van der Windt
GJW
,
Chen
Q
,
Huang
SC-C
,
O’Neill
CM
,
Edelson
BT
,
Pearce
EJ
,
Sesaki
H
,
Huber
TB
,
Rambold
AS
,
Pearce
EL.
 
Mitochondrial dynamics controls T cell fate through metabolic programming
.
Cell
 
2016
;
166
:
63
76
.

44

van der Windt
GJ
,
Everts
B
,
Chang
CH
,
Curtis
JD
,
Freitas
TC
,
Amiel
E
,
Pearce
EJ
,
Pearce
EL.
 
Mitochondrial respiratory capacity is a critical regulator of CD8+ T cell memory development
.
Immunity
 
2012
;
36
:
68
78
.

45

Hotamisligil
GS.
 
Inflammation and metabolic disorders
.
Nature
 
2006
;
444
:
860
867
.

46

Medzhitov
R.
 
Origin and physiological roles of inflammation
.
Nature
 
2008
;
454
:
428
435
.

47

Hotamisligil
GS
,
Shargill
NS
,
Spiegelman
BM.
 
Adipose expression of tumor necrosis factor-alpha: direct role in obesity-linked insulin resistance
.
Science
 
1993
;
259
:
87
91
.

48

Wueest
S
,
Item
F
,
Boyle
CN
,
Jirkof
P
,
Cesarovic
N
,
Ellingsgaard
H
,
Boni-Schnetzler
M
,
Timper
K
,
Arras
M
,
Donath
MY
,
Lutz
TA
,
Schoenle
EJ
,
Konrad
D.
 
Interleukin-6 contributes to early fasting-induced free fatty acid mobilization in mice
.
Am J Physiol Regul Integr Comp Physiol
 
2014
;
306
:
R861
R867
.

49

Kotas
ME
,
Jurczak
MJ
,
Annicelli
C
,
Gillum
MP
,
Cline
GW
,
Shulman
GI
,
Medzhitov
R.
 
Role of caspase-1 in regulation of triglyceride metabolism
.
Proc Natl Acad Sci USA
 
2013
;
110
:
4810
4815
.

50

Febbraio
MA.
 
Role of interleukins in obesity: implications for metabolic disease
.
Trends Endocrinol Metab
 
2014
;
25
:
312
319
.

51

Matsuki
T
,
Horai
R
,
Sudo
K
,
Iwakura
Y.
 
IL-1 plays an important role in lipid metabolism by regulating insulin levels under physiological conditions
.
J Exp Med
 
2003
;
198
:
877
888
.

52

Maedler
K
,
Sergeev
P
,
Ris
F
,
Oberholzer
J
,
Joller-Jemelka
HI
,
Spinas
GA
,
Kaiser
N
,
Halban
PA
,
Donath
MY.
 
Glucose-induced beta cell production of IL-1beta contributes to glucotoxicity in human pancreatic islets
.
J Clin Invest
 
2002
;
110
:
851
860
.

53

Larsen
CM
,
Faulenbach
M
,
Vaag
A
,
Volund
A
,
Ehses
JA
,
Seifert
B
,
Mandrup-Poulsen
T
,
Donath
MY.
 
Interleukin-1-receptor antagonist in type 2 diabetes mellitus
.
N Engl J Med
 
2007
;
356
:
1517
1526
.

54

Fernandez
DM
,
Rahman
AH
,
Fernandez
NF
,
Chudnovskiy
A
,
Amir
E-A. D
,
Amadori
L
,
Khan
NS
,
Wong
CK
,
Shamailova
R
,
Hill
CA
,
Wang
Z
,
Remark
R
,
Li
JR
,
Pina
C
,
Faries
C
,
Awad
AJ
,
Moss
N
,
Bjorkegren
JLM
,
Kim-Schulze
S
,
Gnjatic
S
,
Ma’ayan
A
,
Mocco
J
,
Faries
P
,
Merad
M
,
Giannarelli
C.
 
Single-cell immune landscape of human atherosclerotic plaques
.
Nat Med
 
2019
;
25
:
1576
1588
.

55

Luan
HH
,
Wang
A
,
Hilliard
BK
,
Carvalho
F
,
Rosen
CE
,
Ahasic
AM
,
Herzog
EL
,
Kang
I
,
Pisani
MA
,
Yu
S
,
Zhang
C
,
Ring
AM
,
Young
LH
,
Medzhitov
R.
 
GDF15 is an inflammation-induced central mediator of tissue tolerance
.
Cell
 
2019
;
178
:
1231
1244.E11
.

56

Chen
F
,
Chen
D
,
Zhao
X
,
Yang
S
,
Li
Z
,
Sanchis
D
,
Jin
L
,
Qiang
X
,
Wang
K
,
Xu
Y
,
Zhang
Y
,
Ye
J.
 
Interleukin-6 deficiency facilitates myocardial dysfunction during high fat diet-induced obesity by promoting lipotoxicity and inflammation
.
Biochim Biophys Acta Mol Basis Dis
 
2017
;
1863
:
3128
3141
.

57

Xu
Y
,
Zhang
Y
,
Ye
J.
 
IL-6: a potential role in cardiac metabolic homeostasis
.
Int J Mol Sci
 
2018
;
19
:
2474
.

58

Christensen
RH
,
Lehrskov
LL
,
Wedell-Neergaard
AS
,
Legaard
GE
,
Ried-Larsen
M
,
Karstoft
K
,
Krogh-Madsen
R
,
Pedersen
BK
,
Ellingsgaard
H
,
Rosenmeier
JB.
 
Aerobic exercise induces cardiac fat loss and alters cardiac muscle mass through an interleukin-6 receptor-dependent mechanism: cardiac analysis of a double-blind randomized controlled clinical trial in abdominally obese humans
.
Circulation
 
2019
;
140
:
1684
1686
.

59

Amit
U
,
Kain
D
,
Wagner
A
,
Sahu
A
,
Nevo-Caspi
Y
,
Gonen
N
,
Molotski
N
,
Konfino
T
,
Landa
N
,
Naftali-Shani
N
,
Blum
G
,
Merquiol
E
,
Karo-Atar
D
,
Kanfi
Y
,
Paret
G
,
Munitz
A
,
Cohen
HY
,
Ruppin
E
,
Hannenhalli
S
,
Leor
J.
 
New role for interleukin-13 receptor alpha1 in myocardial homeostasis and heart failure
.
J Am Heart Assoc
 
2017
;
6
:
e005108
.

60

Bartekova
M
,
Radosinska
J
,
Jelemensky
M
,
Dhalla
NS.
 
Role of cytokines and inflammation in heart function during health and disease
.
Heart Fail Rev
 
2018
;
23
:
733
758
.

61

Ramos
GC
,
van den Berg
A
,
Nunes-Silva
V
,
Weirather
J
,
Peters
L
,
Burkard
M
,
Friedrich
M
,
Pinnecker
J
,
Abeßer
M
,
Heinze
KG
,
Schuh
K
,
Beyersdorf
N
,
Kerkau
T
,
Demengeot
J
,
Frantz
S
,
Hofmann
U.
 
Myocardial aging as a T-cell-mediated phenomenon
.
Proc Natl Acad Sci USA
 
2017
;
114
:
E2420
E2429
.

62

Litviňuková
M
,
Talavera-López
C
,
Maatz
H
,
Reichart
D
,
Worth
CL
,
Lindberg
EL
,
Kanda
M
,
Polanski
K
,
Heinig
M
,
Lee
M
,
Nadelmann
ER
,
Roberts
K
,
Tuck
L
,
Fasouli
ES
,
DeLaughter
DM
,
McDonough
B
,
Wakimoto
H
,
Gorham
JM
,
Samari
S
,
Mahbubani
KT
,
Saeb-Parsy
K
,
Patone
G
,
Boyle
JJ
,
Zhang
H
,
Zhang
H
,
Viveiros
A
,
Oudit
GY
,
Bayraktar
O
,
Seidman
JG
,
Seidman
CE
,
Noseda
M
,
Hubner
N
,
Teichmann
SA.
 
Cells of the adult human heart
.
Nature
 
2020
;
588
:
466
472
.

63

Leid
J
,
Carrelha
J
,
Boukarabila
H
,
Epelman
S
,
Jacobsen
SE
,
Lavine
KJ.
 
Primitive embryonic macrophages are required for coronary development and maturation
.
Circ Res
 
2016
;
118
:
1498
1511
.

64

Epelman
S
,
Lavine
KJ
,
Beaudin
AE
,
Sojka
DK
,
Carrero
JA
,
Calderon
B
,
Brija
T
,
Gautier
EL
,
Ivanov
S
,
Satpathy
AT
,
Schilling
JD
,
Schwendener
R
,
Sergin
I
,
Razani
B
,
Forsberg
EC
,
Yokoyama
WM
,
Unanue
ER
,
Colonna
M
,
Randolph
GJ
,
Mann
DL.
 
Embryonic and adult-derived resident cardiac macrophages are maintained through distinct mechanisms at steady state and during inflammation
.
Immunity
 
2014
;
40
:
91
104
.

65

Hulsmans
M
,
Clauss
S
,
Xiao
L
,
Aguirre
AD
,
King
KR
,
Hanley
A
,
Hucker
WJ
,
Wülfers
EM
,
Seemann
G
,
Courties
G
,
Iwamoto
Y
,
Sun
Y
,
Savol
AJ
,
Sager
HB
,
Lavine
KJ
,
Fishbein
GA
,
Capen
DE
,
Da Silva
N
,
Miquerol
L
,
Wakimoto
H
,
Seidman
CE
,
Seidman
JG
,
Sadreyev
RI
,
Naxerova
K
,
Mitchell
RN
,
Brown
D
,
Libby
P
,
Weissleder
R
,
Swirski
FK
,
Kohl
P
,
Vinegoni
C
,
Milan
DJ
,
Ellinor
PT
,
Nahrendorf
M.
 
Macrophages facilitate electrical conduction in the heart
.
Cell
 
2017
;
169
:
510
522.E20
.

66

Nicolás-Ávila
JA
,
Lechuga-Vieco
AV
,
Esteban-Martínez
L
,
Sánchez-Díaz
M
,
Díaz-García
E
,
Santiago
DJ
,
Rubio-Ponce
A
,
Li
JL
,
Balachander
A
,
Quintana
JA
,
Martínez-de-Mena
R
,
Castejón-Vega
B
,
Pun-García
A
,
Través
PG
,
Bonzón-Kulichenko
E
,
García-Marqués
F
,
Cussó
L
,
A-González
N
,
González-Guerra
A
,
Roche-Molina
M
,
Martin-Salamanca
S
,
Crainiciuc
G
,
Guzmán
G
,
Larrazabal
J
,
Herrero-Galán
E
,
Alegre-Cebollada
J
,
Lemke
G
,
Rothlin
CV
,
Jimenez-Borreguero
LJ
,
Reyes
G
,
Castrillo
A
,
Desco
M
,
Muñoz-Cánoves
P
,
Ibáñez
B
,
Torres
M
,
Ng
LG
,
Priori
SG
,
Bueno
H
,
Vázquez
J
,
Cordero
MD
,
Bernal
JA
,
Enríquez
JA
,
Hidalgo
A.
 
Network of macrophages supports mitochondrial homeostasis in the heart
.
Cell
 
2020
;
183
:
94
109.E23
.

67

Prabhu
SD
,
Frangogiannis
NG.
 
The biological basis for cardiac repair after myocardial infarction: from inflammation to fibrosis
.
Circ Res
 
2016
;
119
:
91
112
.

68

Dick
SA
,
Macklin
JA
,
Nejat
S
,
Momen
A
,
Clemente-Casares
X
,
Althagafi
MG
,
Chen
J
,
Kantores
C
,
Hosseinzadeh
S
,
Aronoff
L
,
Wong
A
,
Zaman
R
,
Barbu
I
,
Besla
R
,
Lavine
KJ
,
Razani
B
,
Ginhoux
F
,
Husain
M
,
Cybulsky
MI
,
Robbins
CS
,
Epelman
S.
 
Self-renewing resident cardiac macrophages limit adverse remodeling following myocardial infarction
.
Nat Immunol
 
2019
;
20
:
29
39
.

69

Mouton
AJ
,
DeLeon-Pennell
KY
,
Rivera Gonzalez
OJ
,
Flynn
ER
,
Freeman
TC
,
Saucerman
JJ
,
Garrett
MR
,
Ma
Y
,
Harmancey
R
,
Lindsey
ML.
 
Mapping macrophage polarization over the myocardial infarction time continuum
.
Basic Res Cardiol
 
2018
;
113
:
26.

70

Rizzo
G
,
Vafadarnejad
E
,
Arampatzi
P
,
Silvestre
J-S
,
Zernecke
A
,
Saliba
A-E
,
Cochain
C.
 
Single-cell transcriptomic profiling maps monocyte/macrophage transitions after myocardial infarction in mice
.
bioRxiv
.
2020
:2020.04.14.040451.

71

Nahrendorf
M
,
Swirski
FK
,
Aikawa
E
,
Stangenberg
L
,
Wurdinger
T
,
Figueiredo
JL
,
Libby
P
,
Weissleder
R
,
Pittet
MJ.
 
The healing myocardium sequentially mobilizes two monocyte subsets with divergent and complementary functions
.
J Exp Med
 
2007
;
204
:
3037
3047
.

72

Vafadarnejad
E
,
Rizzo
G
,
Krampert
L
,
Arampatzi
P
,
Arias-Loza
AP
,
Nazzal
Y
,
Rizakou
A
,
Knochenhauer
T
,
Bandi
SR
,
Nugroho
VA
,
Schulz
DJJ
,
Roesch
M
,
Alayrac
P
,
Vilar
J
,
Silvestre
JS
,
Zernecke
A
,
Saliba
AE
,
Cochain
C.
 
Dynamics of cardiac neutrophil diversity in murine myocardial infarction
.
Circ Res
 
2020
;
127
:
e232
e249
.

73

Zhang
S
,
Bories
G
,
Lantz
C
,
Emmons
R
,
Becker
A
,
Liu
E
,
Abecassis
MM
,
Yvan-Charvet
L
,
Thorp
EB.
 
Immunometabolism of phagocytes and relationships to cardiac repair
.
Front Cardiovasc Med
 
2019
;
6
:
42.

74

Zhang
S
,
Weinberg
S
,
DeBerge
M
,
Gainullina
A
,
Schipma
M
,
Kinchen
JM
,
Ben-Sahra
I
,
Gius
DR
,
Yvan-Charvet
L
,
Chandel
NS
,
Schumacker
PT
,
Thorp
EB.
 
Efferocytosis fuels requirements of fatty acid oxidation and the relectron transport chain to polarize macrophages for tissue repair
.
Cell Metab
 
2019
;
29
:
443
456.E5
.

75

van Tuijl
J
,
Joosten
LAB
,
Netea
MG
,
Bekkering
S
,
Riksen
NP.
 
Immunometabolism orchestrates training of innate immunity in atherosclerosis
.
Cardiovasc Res
 
2019
;
115
:
1416
1424
.

76

Zouggari
Y
,
Ait-Oufella
H
,
Bonnin
P
,
Simon
T
,
Sage
AP
,
Guerin
C
,
Vilar
J
,
Caligiuri
G
,
Tsiantoulas
D
,
Laurans
L
,
Dumeau
E
,
Kotti
S
,
Bruneval
P
,
Charo
IF
,
Binder
CJ
,
Danchin
N
,
Tedgui
A
,
Tedder
TF
,
Silvestre
JS
,
Mallat
ZB.
 
lymphocytes trigger monocyte mobilization and impair heart function after acute myocardial infarction
.
Nat Med
 
2013
;
19
:
1273
1280
.

77

Keppner
L
,
Heinrichs
M
,
Rieckmann
M
,
Demengeot
J
,
Frantz
S
,
Hofmann
U
,
Ramos
G.
 
Antibodies aggravate the development of ischemic heart failure
.
Am J Physiol Heart Circ Physiol
 
2018
;
315
:
H1358
H1367
.

78

Hofmann
U
,
Beyersdorf
N
,
Weirather
J
,
Podolskaya
A
,
Bauersachs
J
,
Ertl
G
,
Kerkau
T
,
Frantz
S.
 
Activation of CD4+ T lymphocytes improves wound healing and survival after experimental myocardial infarction in mice
.
Circulation
 
2012
;
125
:
1652
1663
.

79

Weirather
J
,
Hofmann
UD
,
Beyersdorf
N
,
Ramos
GC
,
Vogel
B
,
Frey
A
,
Ertl
G
,
Kerkau
T
,
Frantz
S.
 
Foxp3+ CD4+ T cells improve healing after myocardial infarction by modulating monocyte/macrophage differentiation
.
Circ Res
 
2014
;
115
:
55
67
.

80

Rieckmann
M
,
Delgobo
M
,
Gaal
C
,
Büchner
L
,
Steinau
P
,
Reshef
D
,
Gil-Cruz
C
,
Horst
ENT
,
Kircher
M
,
Reiter
T
,
Heinze
KG
,
Niessen
HW
,
Krijnen
PA
,
van der Laan
AM
,
Piek
JJ
,
Koch
C
,
Wester
HJ
,
Lapa
C
,
Bauer
WR
,
Ludewig
B
,
Friedman
N
,
Frantz
S
,
Hofmann
U
,
Ramos
GC.
 
Myocardial infarction triggers cardioprotective antigen-specific T helper cell responses
.
J Clin Invest
 
2019
;
129
:
4922
4936
.

81

Yan
X
,
Shichita
T
,
Katsumata
Y
,
Matsuhashi
T
,
Ito
H
,
Ito
K
,
Anzai
A
,
Endo
J
,
Tamura
Y
,
Kimura
K
,
Fujita
J
,
Shinmura
K
,
Shen
W
,
Yoshimura
A
,
Fukuda
K
,
Sano
M.
 
Deleterious effect of the IL-23/IL-17A axis and gammadeltaT cells on left ventricular remodeling after myocardial infarction
.
J Am Heart Assoc
 
2012
;
1
:
e004408.

82

Buck
MD
,
O’Sullivan
D
,
Pearce
EL.
 
T cell metabolism drives immunity
.
J Exp Med
 
2015
;
212
:
1345
1360
.

83

Nakamura
M
,
Sadoshima
J.
 
Mechanisms of physiological and pathological cardiac hypertrophy
.
Nat Rev Cardiol
 
2018
;
15
:
387
407
.

84

Frieler
RA
,
Mortensen
RM.
 
Immune cell and other noncardiomyocyte regulation of cardiac hypertrophy and remodeling
.
Circulation
 
2015
;
131
:
1019
1030
.

85

Salvador
AM
,
Nevers
T
,
Velázquez
F
,
Aronovitz
M
,
Wang
B
,
Molina
AA
,
Jaffe
IZ
,
Karas
RH
,
Blanton
RM
,
Alcaide
P.
 
Intercellular adhesion molecule 1 regulates left ventricular leukocyte infiltration, cardiac remodeling, and function in pressure overload-induced heart failure
.
J Am Heart Assoc
 
2016
;
5
:
e003126.

86

Xia
Y
,
Lee
K
,
Li
N
,
Corbett
D
,
Mendoza
L
,
Frangogiannis
NG.
 
Characterization of the inflammatory and fibrotic response in a mouse model of cardiac pressure overload
.
Histochem Cell Biol
 
2009
;
131
:
471
481
.

87

Weisheit
C
,
Zhang
Y
,
Faron
A
,
Köpke
O
,
Weisheit
G
,
Steinsträsser
A
,
Frede
S
,
Meyer
R
,
Boehm
O
,
Hoeft
A
,
Kurts
C
,
Baumgarten
G.
 
Ly6Clow and not Ly6Chigh macrophages accumulate first in the heart in a model of murine pressure-overload
.
PLoS One
 
2014
;
9
:
e112710.

88

Patel
B
,
Bansal
SS
,
Ismahil
MA
,
Hamid
T
,
Rokosh
G
,
Mack
M
,
Prabhu
SD.
 
CCR2+ monocyte-derived infiltrating macrophages are required for adverse cardiac remodeling during pressure overload
.
JACC Basic Transl Sci
 
2018
;
3
:
230
244
.

89

Laroumanie
F
,
Douin-Echinard
V
,
Pozzo
J
,
Lairez
O
,
Tortosa
F
,
Vinel
C
,
Delage
C
,
Calise
D
,
Dutaur
M
,
Parini
A
,
Pizzinat
N.
 
CD4+ T cells promote the transition from hypertrophy to heart failure during chronic pressure overload
.
Circulation
 
2014
;
129
:
2111
2124
.

90

Nickel
AG
,
von Hardenberg
A
,
Hohl
M
,
Löffler
JR
,
Kohlhaas
M
,
Becker
J
,
Reil
J-C
,
Kazakov
A
,
Bonnekoh
J
,
Stadelmaier
M
,
Puhl
S-L
,
Wagner
M
,
Bogeski
I
,
Cortassa
S
,
Kappl
R
,
Pasieka
B
,
Lafontaine
M
,
Lancaster
CRD
,
Blacker
TS
,
Hall
AR
,
Duchen
MR
,
Kästner
L
,
Lipp
P
,
Zeller
T
,
Müller
C
,
Knopp
A
,
Laufs
U
,
Böhm
M
,
Hoth
M
,
Maack
C.
 
Reversal of mitochondrial transhydrogenase causes oxidative stress in heart failure
.
Cell Metab
 
2015
;
22
:
472
484
.

91

Usher
MG
,
Duan
SZ
,
Ivaschenko
CY
,
Frieler
RA
,
Berger
S
,
Schütz
G
,
Lumeng
CN
,
Mortensen
RM.
 
Myeloid mineralocorticoid receptor controls macrophage polarization and cardiovascular hypertrophy and remodeling in mice
.
J Clin Invest
 
2010
;
120
:
3350
3364
.

92

Kallikourdis
M
,
Martini
E
,
Carullo
P
,
Sardi
C
,
Roselli
G
,
Greco
CM
,
Vignali
D
,
Riva
F
,
Ormbostad Berre
AM
,
Stølen
TO
,
Fumero
A
,
Faggian
G
,
Di Pasquale
E
,
Elia
L
,
Rumio
C
,
Catalucci
D
,
Papait
R
,
Condorelli
G.
 
T cell costimulation blockade blunts pressure overload-induced heart failure
.
Nat Commun
 
2017
;
8
:
14680.

93

Kvakan
H
,
Kleinewietfeld
M
,
Qadri
F
,
Park
JK
,
Fischer
R
,
Schwarz
I
,
Rahn
HP
,
Plehm
R
,
Wellner
M
,
Elitok
S
,
Gratze
P
,
Dechend
R
,
Luft
FC
,
Muller
DN.
 
Regulatory T cells ameliorate angiotensin II-induced cardiac damage
.
Circulation
 
2009
;
119
:
2904
2912
.

94

Dunlay
SM
,
Roger
VL
,
Redfield
MM.
 
Epidemiology of heart failure with preserved ejection fraction
.
Nat Rev Cardiol
 
2017
;
14
:
591
602
.

95

Schiattarella
GG
,
Rodolico
D
,
Hill
JA.
 
Metabolic inflammation in heart failure with preserved ejection fraction
.
Cardiovasc Res
 
2020
;
117
:
423
434
.

96

Paulus
WJ
,
Tschope
C.
 
A novel paradigm for heart failure with preserved ejection fraction: comorbidities drive myocardial dysfunction and remodeling through coronary microvascular endothelial inflammation
.
J Am Coll Cardiol
 
2013
;
62
:
263
271
.

97

Schiattarella
GG
,
Altamirano
F
,
Tong
D
,
French
KM
,
Villalobos
E
,
Kim
SY
,
Luo
X
,
Jiang
N
,
May
HI
,
Wang
ZV
,
Hill
TM
,
Mammen
PPA
,
Huang
J
,
Lee
DI
,
Hahn
VS
,
Sharma
K
,
Kass
DA
,
Lavandero
S
,
Gillette
TG
,
Hill
JA.
 
Nitrosative stress drives heart failure with preserved ejection fraction
.
Nature
 
2019
;
568
:
351
356
.

98

Hu
YF
,
Chen
YJ
,
Lin
YJ
,
Chen
SA.
 
Inflammation and the pathogenesis of atrial fibrillation
.
Nat Rev Cardiol
 
2015
;
12
:
230
243
.

99

Aviles
RJ
,
Martin
DO
,
Apperson-Hansen
C
,
Houghtaling
PL
,
Rautaharju
P
,
Kronmal
RA
,
Tracy
RP
,
Van Wagoner
DR
,
Psaty
BM
,
Lauer
MS
,
Chung
MK.
 
Inflammation as a risk factor for atrial fibrillation
.
Circulation
 
2003
;
108
:
3006
3010
.

100

Mazurek
T
,
Kiliszek
M
,
Kobylecka
M
,
Skubisz-Głuchowska
J
,
Kochman
J
,
Filipiak
K
,
Królicki
L
,
Opolski
G.
 
Relation of proinflammatory activity of epicardial adipose tissue to the occurrence of atrial fibrillation
.
Am J Cardiol
 
2014
;
113
:
1505
1508
.

101

Nalliah
CJ
,
Bell
JR
,
Raaijmakers
AJA
,
Waddell
HM
,
Wells
SP
,
Bernasochi
GB
,
Montgomery
MK
,
Binny
S
,
Watts
T
,
Joshi
SB
,
Lui
E
,
Sim
CB
,
Larobina
M
,
O’Keefe
M
,
Goldblatt
J
,
Royse
A
,
Lee
G
,
Porrello
ER
,
Watt
MJ
,
Kistler
PM
,
Sanders
P
,
Delbridge
LMD
,
Kalman
JM.
 
Epicardial adipose tissue accumulation confers atrial conduction abnormality
.
J Am Coll Cardiol
 
2020
;
76
:
1197
1211
.

102

Rotter
M
,
Jaïs
P
,
Vergnes
MC
,
Nurden
P
,
Takahashi
Y
,
Sanders
P
,
Rostock
T
,
Hocini
M
,
Sacher
F
,
Haïssaguerre
M.
 
Decline in C-reactive protein after successful ablation of long-lasting persistent atrial fibrillation
.
J Am Coll Cardiol
 
2006
;
47
:
1231
1233
.

103

Verheule
S
,
Sato
T
,
Everett
T
,
Engle
SK
,
Otten
D
,
Rubart-von der Lohe
M
,
Nakajima
HO
,
Nakajima
H
,
Field
LJ
,
Olgin
JE.
 
Increased vulnerability to atrial fibrillation in transgenic mice with selective atrial fibrosis caused by overexpression of TGF-beta1
.
Circ Res
 
2004
;
94
:
1458
1465
.

104

Yao
C
,
Veleva
T
,
Scott
L
Jr
,
Cao
S
,
Li
L
,
Chen
G
,
Jeyabal
P
,
Pan
X
,
Alsina
KM
,
Abu-Taha
ID
,
Ghezelbash
S
,
Reynolds
CL
,
Shen
YH
,
LeMaire
SA
,
Schmitz
W
,
Müller
FU
,
El-Armouche
A
,
Tony Eissa
N
,
Beeton
C
,
Nattel
S
,
Wehrens
XHT
,
Dobrev
D
,
Li
N.
 
Enhanced cardiomyocyte NLRP3 inflammasome signaling promotes atrial fibrillation
.
Circulation
 
2018
;
138
:
2227
2242
.

105

Heijman
J
,
Muna
AP
,
Veleva
T
,
Molina
CE
,
Sutanto
H
,
Tekook
M
,
Wang
Q
,
Abu-Taha
IH
,
Gorka
M
,
Künzel
S
,
El-Armouche
A
,
Reichenspurner
H
,
Kamler
M
,
Nikolaev
V
,
Ravens
U
,
Li
N
,
Nattel
S
,
Wehrens
XHT
,
Dobrev
D.
 
Atrial myocyte NLRP3/CaMKII nexus forms a substrate for postoperative atrial fibrillation
.
Circ Res
 
2020
;
127
:
1036
1055
.

106

Chen
MC
,
Chang
JP
,
Liu
WH
,
Yang
CH
,
Chen
YL
,
Tsai
TH
,
Wang
YH
,
Pan
KL.
 
Increased inflammatory cell infiltration in the atrial myocardium of patients with atrial fibrillation
.
Am J Cardiol
 
2008
;
102
:
861
865
.

107

Hershberger
RE
,
Givertz
MM
,
Ho
CY
,
Judge
DP
,
Kantor
PF
,
McBride
KL
,
Morales
A
,
Taylor
MRG
,
Vatta
M
,
Ware
SM.
 
Genetic evaluation of cardiomyopathy-a Heart Failure Society of America practice guideline
.
J Card Fail
 
2018
;
24
:
281
302
.

108

Frantz
S
,
Falcao-Pires
I
,
Balligand
JL
,
Bauersachs
J
,
Brutsaert
D
,
Ciccarelli
M
,
Dawson
D
,
de Windt
LJ
,
Giacca
M
,
Hamdani
N
,
Hilfiker-Kleiner
D
,
Hirsch
E
,
Leite-Moreira
A
,
Mayr
M
,
Thum
T
,
Tocchetti
CG
,
van der Velden
J
,
Varricchi
G
,
Heymans
S.
 
The innate immune system in chronic cardiomyopathy: a European Society of Cardiology (ESC) scientific statement from the Working Group on Myocardial Function of the ESC
.
Eur J Heart Fail
 
2018
;
20
:
445
459
.

109

Knowlton
KU.
 
Myocarditis: an Intersection between genetic and acquired causes of human cardiomyopathy
.
J Am Coll Cardiol
 
2017
;
69
:
1666
1668
.

110

Bondue
A
,
Arbustini
E
,
Bianco
A
,
Ciccarelli
M
,
Dawson
D
,
De Rosa
M
,
Hamdani
N
,
Hilfiker-Kleiner
D
,
Meder
B
,
Leite-Moreira
AF
,
Thum
T
,
Tocchetti
CG
,
Varricchi
G
,
Van der Velden
J
,
Walsh
R
,
Heymans
S.
 
Complex roads from genotype to phenotype in dilated cardiomyopathy: scientific update from the Working Group of Myocardial Function of the European Society of Cardiology
.
Cardiovasc Res
 
2018
;
114
:
1287
1303
.

111

Bauce
B
,
Basso
C
,
Rampazzo
A
,
Beffagna
G
,
Daliento
L
,
Frigo
G
,
Malacrida
S
,
Settimo
L
,
Danieli
G
,
Thiene
G
,
Nava
A.
 
Clinical profile of four families with arrhythmogenic right ventricular cardiomyopathy caused by dominant desmoplakin mutations
.
Eur Heart J
 
2005
;
26
:
1666
1675
.

112

Reichl
K
,
Kreykes
SE
,
Martin
CM
,
Shenoy
C.
 
Desmoplakin variant-associated arrhythmogenic cardiomyopathy presenting as acute myocarditis
.
Circ Genom Precis Med
 
2018
;
11
:
e002373.

113

Poller
W
,
Haas
J
,
Klingel
K
,
Kühnisch
J
,
Gast
M
,
Kaya
Z
,
Escher
F
,
Kayvanpour
E
,
Degener
F
,
Opgen-Rhein
B
,
Berger
F
,
Mochmann
HC
,
Skurk
C
,
Heidecker
B
,
Schultheiss
HP
,
Monserrat
L
,
Meder
B
,
Landmesser
U
,
Klaassen
S.
 
Familial recurrent myocarditis triggered by exercise in patients with a truncating variant of the desmoplakin gene
.
J Am Heart Assoc
 
2020
;
9
:
e015289.

114

Protonotarios
A
,
Wicks
E
,
Ashworth
M
,
Stephenson
E
,
Guttmann
O
,
Savvatis
K
,
Sekhri
N
,
Mohiddin
SA
,
Syrris
P
,
Menezes
L
,
Elliott
P.
 
Prevalence of (18)F-fluorodeoxyglucose positron emission tomography abnormalities in patients with arrhythmogenic right ventricular cardiomyopathy
.
Int J Cardiol
 
2019
;
284
:
99
104
.

115

Martins
D
,
Ovaert
C
,
Khraiche
D
,
Boddaert
N
,
Bonnet
D
,
Raimondi
F.
 
Myocardial inflammation detected by cardiac MRI in arrhythmogenic right ventricular cardiomyopathy: a paediatric case series
.
Int J Cardiol
 
2018
;
271
:
81
86
.

116

Patrianakos
AP
,
Protonotarios
N
,
Nyktari
E
,
Pagonidis
K
,
Tsatsopoulou
A
,
Parthenakis
FI
,
Vardas
PE.
 
Arrhythmogenic right ventricular cardiomyopathy/dysplasia and troponin release. Myocarditis or the "hot phase" of the disease?
 
Int J Cardiol
 
2012
;
157
:
e26
e28
.

117

Asimaki
A
,
Tandri
H
,
Duffy
ER
,
Winterfield
JR
,
Mackey-Bojack
S
,
Picken
MM
,
Cooper
LT
,
Wilber
DJ
,
Marcus
FI
,
Basso
C
,
Thiene
G
,
Tsatsopoulou
A
,
Protonotarios
N
,
Stevenson
WG
,
McKenna
WJ
,
Gautam
S
,
Remick
DG
,
Calkins
H
,
Saffitz
JE.
 
Altered desmosomal proteins in granulomatous myocarditis and potential pathogenic links to arrhythmogenic right ventricular cardiomyopathy
.
Circ Arrhythm Electrophysiol
 
2011
;
4
:
743
752
.

118

Lopez-Ayala
JM
,
Pastor-Quirante
F
,
Gonzalez-Carrillo
J
,
Lopez-Cuenca
D
,
Sanchez-Munoz
JJ
,
Oliva-Sandoval
MJ
,
Gimeno
JR.
 
Genetics of myocarditis in arrhythmogenic right ventricular dysplasia
.
Heart Rhythm
 
2015
;
12
:
766
773
.

119

Caforio
ALP
,
Re
F
,
Avella
A
,
Marcolongo
R
,
Baratta
P
,
Seguso
M
,
Gallo
N
,
Plebani
M
,
Izquierdo-Bajo
A
,
Cheng
C-Y
,
Syrris
P
,
Elliott
PM
,
d’Amati
G
,
Thiene
G
,
Basso
C
,
Gregori
D
,
Iliceto
S
,
Zachara
E.
 
Evidence from family studies for autoimmunity in arrhythmogenic right ventricular cardiomyopathy: associations of circulating anti-heart and anti-intercalated disk autoantibodies with disease severity and family history
.
Circulation
 
2020
;
141
:
1238
1248
.

120

Caforio
AL
,
Mahon
NG
,
Baig
MK
,
Tona
F
,
Murphy
RT
,
Elliott
PM
,
McKenna
WJ.
 
Prospective familial assessment in dilated cardiomyopathy: cardiac autoantibodies predict disease development in asymptomatic relatives
.
Circulation
 
2007
;
115
:
76
83
.

121

Xiong
D
,
Lee
GH
,
Badorff
C
,
Dorner
A
,
Lee
S
,
Wolf
P
,
Knowlton
KU.
 
Dystrophin deficiency markedly increases enterovirus-induced cardiomyopathy: a genetic predisposition to viral heart disease
.
Nat Med
 
2002
;
8
:
872
877
.

122

Frustaci
A
,
Russo
MA
,
Chimenti
C.
 
Randomized study on the efficacy of immunosuppressive therapy in patients with virus-negative inflammatory cardiomyopathy: the TIMIC study
.
Eur Heart J
 
2009
;
30
:
1995
2002
.

123

De Luca
G
,
Campochiaro
C
,
Sartorelli
S
,
Peretto
G
,
Dagna
L.
 
Therapeutic strategies for virus-negative myocarditis: a comprehensive review
.
Eur J Int Med
 
2020
;
77
:
9
17
.

124

Everett
BM
,
Cornel
JH
,
Lainscak
M
,
Anker
SD
,
Abbate
A
,
Thuren
T
,
Libby
P
,
Glynn
RJ
,
Ridker
PM.
 
Anti-inflammatory therapy with canakinumab for the prevention of hospitalization for heart failure
.
Circulation
 
2019
;
139
:
1289
1299
.

125

Adamo
L
,
Rocha-Resende
C
,
Prabhu
SD
,
Mann
DL.
 
Reappraising the role of inflammation in heart failure
.
Nat Rev Cardiol
 
2020
;
17
:
269
285
.

126

Panahi
M
,
Papanikolaou
A
,
Torabi
A
,
Zhang
JG
,
Khan
H
,
Vazir
A
,
Hasham
MG
,
Cleland
JGF
,
Rosenthal
NA
,
Harding
SE
,
Sattler
S.
 
Immunomodulatory interventions in myocardial infarction and heart failure: a systematic review of clinical trials and meta-analysis of IL-1 inhibition
.
Cardiovasc Res
 
2018
;
114
:
1445
1461
.

127

Zhao
TX
,
Kostapanos
M
,
Griffiths
C
,
Arbon
EL
,
Hubsch
A
,
Kaloyirou
F
,
Helmy
J
,
Hoole
SP
,
Rudd
JHF
,
Wood
G
,
Burling
K
,
Bond
S
,
Cheriyan
J
,
Mallat
Z.
 
Low-dose interleukin-2 in patients with stable ischaemic heart disease and acute coronary syndromes (LILACS): protocol and study rationale for a randomised, double-blind, placebo-controlled, phase I/II clinical trial
.
BMJ Open
 
2018
;
8
:
e022452.

128

Means
CK
,
Brown
JH.
 
Sphingosine-1-phosphate receptor signalling in the heart
.
Cardiovasc Res
 
2008
;
82
:
193
200
.

129

Gilbert
RE
,
Krum
H.
 
Heart failure in diabetes: effects of anti-hyperglycaemic drug therapy
.
Lancet
 
2015
;
385
:
2107
2117
.

130

Cosmi
F
,
Shen
L
,
Magnoli
M
,
Abraham
WT
,
Anand
IS
,
Cleland
JG
,
Cohn
JN
,
Cosmi
D
,
De Berardis
G
,
Dickstein
K
,
Franzosi
MG
,
Gullestad
L
,
Jhund
PS
,
Kjekshus
J
,
Køber
L
,
Lepore
V
,
Lucisano
G
,
Maggioni
AP
,
Masson
S
,
McMurray
JJV
,
Nicolucci
A
,
Petrarolo
V
,
Robusto
F
,
Staszewsky
L
,
Tavazzi
L
,
Teli
R
,
Tognoni
G
,
Wikstrand
J
,
Latini
R.
 
Treatment with insulin is associated with worse outcome in patients with chronic heart failure and diabetes
.
Eur J Heart Fail
 
2018
;
20
:
888
895
.

131

Shen
L
,
Rørth
R
,
Cosmi
D
,
Kristensen
SL
,
Petrie
MC
,
Cosmi
F
,
Latini
R
,
Køber
L
,
Anand
IS
,
Carson
PE
,
Granger
CB
,
Komajda
M
,
McKelvie
RS
,
Solomon
SD
,
Staszewsky
L
,
Swedberg
K
,
Huynh
T
,
Zile
MR
,
Jhund
PS
,
McMurray
JJV.
 
Insulin treatment and clinical outcomes in patients with diabetes and heart failure with preserved ejection fraction
.
Eur J Heart Fail
 
2019
;
21
:
974
984
.

132

Zelniker
TA
,
Wiviott
SD
,
Raz
I
,
Im
K
,
Goodrich
EL
,
Bonaca
MP
,
Mosenzon
O
,
Kato
ET
,
Cahn
A
,
Furtado
RHM
,
Bhatt
DL
,
Leiter
LA
,
McGuire
DK
,
Wilding
JPH
,
Sabatine
MS.
 
SGLT2 inhibitors for primary and secondary prevention of cardiovascular and renal outcomes in type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials
.
Lancet
 
2019
;
393
:
31
39
.

133

Bertero
E
,
Prates Roma
L
,
Ameri
P
,
Maack
C.
 
Cardiac effects of SGLT2 inhibitors: the sodium hypothesis
.
Cardiovasc Res
 
2018
;
114
:
12
18
.

134

Santos-Gallego
CG
,
Requena-Ibanez
JA
,
San Antonio
R
,
Ishikawa
K
,
Watanabe
S
,
Picatoste
B
,
Flores
E
,
Garcia-Ropero
A
,
Sanz
J
,
Hajjar
RJ
,
Fuster
V
,
Badimon
JJ.
 
Empagliflozin ameliorates adverse left ventricular remodeling in nondiabetic heart failure by enhancing myocardial energetics
.
J Am Coll Cardiol
 
2019
;
73
:
1931
1944
.

135

Verma
S
,
Rawat
S
,
Ho
KL
,
Wagg
CS
,
Zhang
L
,
Teoh
H
,
Dyck
JE
,
Uddin
GM
,
Oudit
GY
,
Mayoux
E
,
Lehrke
M
,
Marx
N
,
Lopaschuk
GD.
 
Empagliflozin increases cardiac energy production in diabetes: novel translational insights into the heart failure benefits of SGLT2 inhibitors
.
JACC Basic Transl Sci
 
2018
;
3
:
575
587
.

136

Youm
Y-H
,
Nguyen
KY
,
Grant
RW
,
Goldberg
EL
,
Bodogai
M
,
Kim
D
,
D'Agostino
D
,
Planavsky
N
,
Lupfer
C
,
Kanneganti
TD
,
Kang
S
,
Horvath
TL
,
Fahmy
TM
,
Crawford
PA
,
Biragyn
A
,
Alnemri
E
,
Dixit
VD.
 
The ketone metabolite β-hydroxybutyrate blocks NLRP3 inflammasome–mediated inflammatory disease
.
Nat Med
 
2015
;
21
:
263
269
.

137

Byrne
NJ
,
Matsumura
N
,
Maayah
ZH
,
Ferdaoussi
M
,
Takahara
S
,
Darwesh
AM
,
Levasseur
JL
,
Jahng
JWS
,
Vos
D
,
Parajuli
N
,
El-Kadi
AOS
,
Braam
B
,
Young
ME
,
Verma
S
,
Light
PE
,
Sweeney
G
,
Seubert
JM
,
Dyck
JRB.
 
Empagliflozin blunts worsening cardiac dysfunction associated with reduced NLRP3 (nucleotide-binding domain-like receptor protein 3) inflammasome activation in heart failure
.
Circ Heart Fail
 
2020
;
13
:
e006277.

138

Day
EA
,
Ford
RJ
,
Lu
JH
,
Lu
R
,
Lundenberg
L
,
Desjardins
EM
,
Green
AE
,
Lally
JSV
,
Schertzer
JD
,
Steinberg
GR.
 
The SGLT2 inhibitor canagliflozin suppresses lipid synthesis and interleukin-1 beta in ApoE deficient mice
.
Biochem J
 
2020
;
477
:
2347
2361
.

139

Iannantuoni
F
,
M. de Marañon
A
,
Diaz-Morales
N
,
Falcon
R
,
Bañuls
C
,
Abad-Jimenez
Z
,
Victor
VM
,
Hernandez-Mijares
A
,
Rovira-Llopis
S.
 
The SGLT2 inhibitor empagliflozin ameliorates the inflammatory profile in type 2 diabetic patients and promotes an antioxidant response in leukocytes
.
JCM
 
2019
;
8
:
1814.

140

Stuart
T
,
Satija
R.
 
Integrative single-cell analysis
.
Nat Rev Genet
 
2019
;
20
:
257
272
.

141

Zhu
C
,
Preissl
S
,
Ren
B.
 
Single-cell multimodal omics: the power of many
.
Nat Methods
 
2020
;
17
:
11
14
.

142

Rodriques
SG
,
Stickels
RR
,
Goeva
A
,
Martin
CA
,
Murray
E
,
Vanderburg
CR
,
Welch
J
,
Chen
LM
,
Chen
F
,
Macosko
EZ.
 
Slide-seq: a scalable technology for measuring genome-wide expression at high spatial resolution
.
Science
 
2019
;
363
:
1463
1467
.

143

Paik
DT
,
Cho
S
,
Tian
L
,
Chang
HY
,
Wu
JC.
 
Single-cell RNA sequencing in cardiovascular development, disease and medicine
.
Nat Rev Cardiol
 
2020
;
17
:
457
473
.

144

Bajpai
G
,
Bredemeyer
A
,
Li
W
,
Zaitsev
K
,
Koenig
AL
,
Lokshina
I
,
Mohan
J
,
Ivey
B
,
Hsiao
HM
,
Weinheimer
C
,
Kovacs
A
,
Epelman
S
,
Artyomov
M
,
Kreisel
D
,
Lavine
KJ.
 
Tissue resident CCR2- and CCR2+ cardiac macrophages differentially orchestrate monocyte recruitment and fate specification following myocardial injury
.
Circ Res
 
2019
;
124
:
263
278
.

145

King
KR
,
Aguirre
AD
,
Ye
YX
,
Sun
Y
,
Roh
JD
,
Ng
RP
Jr
,
Kohler
RH
,
Arlauckas
SP
,
Iwamoto
Y
,
Savol
A
,
Sadreyev
RI
,
Kelly
M
,
Fitzgibbons
TP
,
Fitzgerald
KA
,
Mitchison
T
,
Libby
P
,
Nahrendorf
M
,
Weissleder
R.
 
IRF3 and type I interferons fuel a fatal response to myocardial infarction
.
Nat Med
 
2017
;
23
:
1481
1487
.

146

Calcagno
DM
,
Ng
RP
,
Toomu
A
,
Zhang
C
,
Huang
K
,
Aguirre
AD
,
Weissleder
R
,
Daniels
LB
,
Fu
Z
,
King
KR.
 
The myeloid type I interferon response to myocardial infarction begins in bone marrow and is regulated by Nrf2-activated macrophages. Sci Immunol 2020;5:eaaz1974
. doi: 10.1126/sciimmunol.aaz1974.

147

Martini
E
,
Kunderfranco
P
,
Peano
C
,
Carullo
P
,
Cremonesi
M
,
Schorn
T
,
Carriero
R
,
Termanini
A
,
Colombo
FS
,
Jachetti
E
,
Panico
C
,
Faggian
G
,
Fumero
A
,
Torracca
L
,
Molgora
M
,
Cibella
J
,
Pagiatakis
C
,
Brummelman
J
,
Alvisi
G
,
Mazza
EMC
,
Colombo
MP
,
Lugli
E
,
Condorelli
G
,
Kallikourdis
M.
 
Single-cell sequencing of mouse heart immune infiltrate in pressure overload-driven heart failure reveals extent of immune activation
.
Circulation
 
2019
;
140
:
2089
2107
.

148

Wang
L
,
Yu
P
,
Zhou
B
,
Song
J
,
Li
Z
,
Zhang
M
,
Guo
G
,
Wang
Y
,
Chen
X
,
Han
L
,
Hu
S.
 
Single-cell reconstruction of the adult human heart during heart failure and recovery reveals the cellular landscape underlying cardiac function
.
Nat Cell Biol
 
2020
;
22
:
108
119
.

149

Gaublomme
JT
,
Li
B
,
McCabe
C
,
Knecht
A
,
Yang
Y
,
Drokhlyansky
E
,
Van Wittenberghe
N
,
Waldman
J
,
Dionne
D
,
Nguyen
L
,
De Jager
PL
,
Yeung
B
,
Zhao
X
,
Habib
N
,
Rozenblatt-Rosen
O
,
Regev
A.
 
Nuclei multiplexing with barcoded antibodies for single-nucleus genomics
.
Nat Commun
 
2019
;
10
:
2907.

150

Weinreb
C
,
Rodriguez-Fraticelli
A
,
Camargo
FD
,
Klein
AM.
 
Lineage tracing on transcriptional landscapes links state to fate during differentiation
.
Science
 
2020
;
367
:
eaaw3381.

151

Ludwig
LS
,
Lareau
CA
,
Ulirsch
JC
,
Christian
E
,
Muus
C
,
Li
LH
,
Pelka
K
,
Ge
W
,
Oren
Y
,
Brack
A
,
Law
T
,
Rodman
C
,
Chen
JH
,
Boland
GM
,
Hacohen
N
,
Rozenblatt-Rosen
O
,
Aryee
MJ
,
Buenrostro
JD
,
Regev
A
,
Sankaran
VG.
 
Lineage tracing in humans enabled by mitochondrial mutations and single-cell genomics
.
Cell
 
2019
;
176
:
1325
1339.E22
.

152

Stoeckius
M
,
Hafemeister
C
,
Stephenson
W
,
Houck-Loomis
B
,
Chattopadhyay
PK
,
Swerdlow
H
,
Satija
R
,
Smibert
P.
 
Simultaneous epitope and transcriptome measurement in single cells
.
Nat Methods
 
2017
;
14
:
865
868
.

153

Domínguez Conde
C
,
Teichmann
SA.
 
Deciphering immunity at high plexity and resolution
.
Nat Rev Immunol
 
2020
;
20
:
77
78
.

154

O'Neill
LA
,
Kishton
RJ
,
Rathmell
J.
 
A guide to immunometabolism for immunologists
.
Nat Rev Immunol
 
2016
;
16
:
553
565
.

155

Balmer
ML
,
Ma
EH
,
Bantug
GR
,
Grahlert
J
,
Pfister
S
,
Glatter
T
,
Jauch
A
,
Dimeloe
S
,
Slack
E
,
Dehio
P
,
Krzyzaniak
MA
,
King
CG
,
Burgener
AV
,
Fischer
M
,
Develioglu
L
,
Belle
R
,
Recher
M
,
Bonilla
WV
,
Macpherson
AJ
,
Hapfelmeier
S
,
Jones
RG
,
Hess
C.
 
Memory CD8(+) T cells require increased concentrations of acetate induced by stress for optimal function
.
Immunity
 
2016
;
44
:
1312
1324
.

156

Ma
EH
,
Bantug
G
,
Griss
T
,
Condotta
S
,
Johnson
RM
,
Samborska
B
,
Mainolfi
N
,
Suri
V
,
Guak
H
,
Balmer
ML
,
Verway
MJ
,
Raissi
TC
,
Tsui
H
,
Boukhaled
G
,
Henriques da Costa
S
,
Frezza
C
,
Krawczyk
CM
,
Friedman
A
,
Manfredi
M
,
Richer
MJ
,
Hess
C
,
Jones
RG.
 
Serine is an essential metabolite for effector T cell expansion
.
Cell Metab
 
2017
;
25
:
345
357
.

157

Blagih
J
,
Coulombe
F
,
Vincent
EE
,
Dupuy
F
,
Galicia-Vazquez
G
,
Yurchenko
E
,
Raissi
TC
,
van der Windt
GJ
,
Viollet
B
,
Pearce
EL
,
Pelletier
J
,
Piccirillo
CA
,
Krawczyk
CM
,
Divangahi
M
,
Jones
RG.
 
The energy sensor AMPK regulates T cell metabolic adaptation and effector responses in vivo
.
Immunity
 
2015
;
42
:
41
54
.

158

Monticelli
LA
,
Buck
MD
,
Flamar
AL
,
Saenz
SA
,
Tait Wojno
ED
,
Yudanin
NA
,
Osborne
LC
,
Hepworth
MR
,
Tran
SV
,
Rodewald
HR
,
Shah
H
,
Cross
JR
,
Diamond
JM
,
Cantu
E
,
Christie
JD
,
Pearce
EL
,
Artis
D.
 
Arginase 1 is an innate lymphoid-cell-intrinsic metabolic checkpoint controlling type 2 inflammation
.
Nat Immunol
 
2016
;
17
:
656
665
.

159

Bendall
SC
,
Simonds
EF
,
Qiu
P
,
Amir el
AD
,
Krutzik
PO
,
Finck
R
,
Bruggner
RV
,
Melamed
R
,
Trejo
A
,
Ornatsky
OI
,
Balderas
RS
,
Plevritis
SK
,
Sachs
K
,
Pe'er
D
,
Tanner
SD
,
Nolan
GP.
 
Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum
.
Science
 
2011
;
332
:
687
696
.

160

Heien
ML
,
Piehowski
PD
,
Winograd
N
,
Ewing
AG.
 
Lipid detection, identification, and imaging single cells with SIMS
.
Methods Mol Biol
 
2010
;
656
:
85
97
.

161

Kumar
R
,
Ghosh
M
,
Kumar
S
,
Prasad
M.
 
Single cell metabolomics: a future tool to unmask cellular heterogeneity and virus-host interaction in context of emerging viral diseases
.
Front Microbiol
 
2020
;
11
:
1152.

162

Bengel
FM
,
Higuchi
T
,
Javadi
MS
,
Lautamäki
R.
 
Cardiac positron emission tomography
.
J Am Coll Cardiol
 
2009
;
54
:
1
15
.

163

Werner
RA
,
Wakabayashi
H
,
Bauer
J
,
Schütz
C
,
Zechmeister
C
,
Hayakawa
N
,
Javadi
MS
,
Lapa
C
,
Jahns
R
,
Ergün
S
,
Jahns
V
,
Higuchi
T.
 
Longitudinal 18F-FDG PET imaging in a rat model of autoimmune myocarditis
.
Eur Heart J Cardiovasc Imaging
 
2019
;
20
:
467
474
.

164

Wu
C
,
Li
F
,
Niu
G
,
Chen
X.
 
PET imaging of inflammation biomarkers
.
Theranostics
 
2013
;
3
:
448
466
.

165

Peterson
LR
,
Gropler
RJ.
 
Radionuclide imaging of myocardial metabolism
.
Circ Cardiovasc Imaging
 
2010
;
3
:
211
222
.

166

Peterson
LR
,
Gropler
RJ.
 
Metabolic and molecular imaging of the diabetic cardiomyopathy
.
Circ Res
 
2020
;
126
:
1628
1645
.

167

Hashimoto
H
,
Nakanishi
R
,
Mizumura
S
,
Hashimoto
Y
,
Okamura
Y
,
Kiuchi
S
,
Yamazaki
J
,
Ikeda
T.
 
Prognostic value of (123)I-BMIPP SPECT in patients with nonischemic heart failure with preserved ejection fraction
.
J Nucl Med
 
2018
;
59
:
259
265
.

168

Cai
Z
,
Mason
NS
,
Anderson
CJ
,
Edwards
WB.
 
Synthesis and preliminary evaluation of an 18F-labeled oleic acid analog for PET imaging of fatty acid uptake and metabolism
.
Nucl Med Biol
 
2016
;
43
:
108
115
.

Author notes

Edoardo Bertero and Jan Dudek contributed equally to the study.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)