Abstract
Introduction:
Heart failure with preserved ejection fraction (HFpEF) is a clinical syndrome characterized by diastolic dysfunction, systemic comorbidities, and chronic low-grade inflammation. Emerging evidence suggests that immune dysregulation plays a central role in its pathophysiology. Both innate and adaptive immune responses contribute to myocardial remodeling, endothelial dysfunction, and comorbidity-driven inflammation that are hallmarks of HFpEF.
Areas covered:
In this systematic review, we summarize current evidence on the contribution of immunological pathways to HFpEF, including the role of proinflammatory cytokines, immune cell infiltration (particularly macrophages, mast cells, and T cells), and immune – endothelial interactions. We also highlight findings from experimental models linking systemic metabolic inflammation to myocardial fibrosis, coronary microvascular dysfunction, and cardiomyocyte stiffness in HFpEF. Finally, we explore potential immunomodulatory therapeutic approaches currently under investigation and discuss biomarkers of immune activation with potential clinical relevance.
Expert opinion:
While no immunologically targeted therapy is yet approved for HFpEF, interventions that modulate inflammation – such as IL-1 blockade, mast cell stabilization, or myeloid-targeted therapies – offer promise. Future clinical trials should incorporate immune profiling to enable patient stratification and personalized treatment approaches. A deeper understanding of immune-mediated mechanisms in HFpEF will be essential to advance therapeutic innovation and improve outcomes in this challenging and growing patient population.
Keywords: Clinical trials, cytokines, HFpEF, inflammation, innate immunity, macrophages, natural killer, T cells
1. Introduction
Heart failure (HF) with preserved ejection fraction (HFpEF) represents a complex clinical syndrome predominantly characterized by symptoms of HF alongside a left ventricular ejection fraction (LVEF) of 50% or greater. Historically, HFpEF was conceptualized as a form of HF that differed from HF with reduced ejection fraction (HFrEF), which is traditionally associated with systolic dysfunction. The recognition of HFpEF gained prominence in the late 20th century as clinical studies began to reveal its growing prevalence – particularly among elderly populations and those with comorbidities such as hypertension and obesity [1,2]. As of now, HFpEF accounts for approximately half of all HF cases, shaping it into a critical public health issue across various demographics due to the associated morbidity and mortality risks [3,4].
2. HFpEF, HFpEF mimics, and secondary HFpEF
HFpEF presents a significant clinical challenge, characterized by a diastolic dysfunction wherein LVEF remains within normal limits (≥50%) despite the presence of symptoms related to HF [5]. Understanding its cellular and molecular mechanisms necessitates exploring a plethora of interrelated pathways that include immune dysregulation, systemic inflammation, endothelial dysfunction, metabolic alterations, and other comorbidities such as obesity and diabetes.
HFpEF mimics are conditions that present with clinical features similar to the ‘true’ HFpEF (e.g. dyspnea, fatigue, elevated natriuretic peptides, and preserved EF) but arise from different pathophysiologic processes. Unlike true HFpEF, these entities often have specific, potentially treatable causes and distinct structural or functional cardiac features. Another useful conceptual distinction in HFpEF is between primary and secondary forms. Primary HFpEF refers to cases where the HF phenotype arises as a direct result of intrinsic myocardial or microvascular alterations without a dominant external structural or systemic driver. These alterations include age-related myocardial fibrosis, hypertensive remodeling, obesity- and diabetes-induced cardiac changes, and microvascular inflammation. These cases are marked by a high burden of comorbidities (e.g. hypertension, obesity, insulin resistance, atrial fibrillation) that synergize to promote concentric hypertrophy, myocardial stiffness, impaired relaxation, and pulmonary hypertension. In contrast, secondary HFpEF arises due to distinct pathologies that indirectly cause a HFpEF phenotype.
Major examples include: i) Infiltrative cardiomyopathies: e.g. amyloidosis and sarcoidosis, which cause restrictive physiology and thickened ventricular walls, but with low voltage on ECG and extracardiac manifestations [6,7]; ii) storage disorders: e.g. Fabry disease, hemochromatosis, cause lysosomal or iron accumulation, respectively, leading to hypertrophy and conduction abnormalities [8,9]; iii) Constrictive pericarditis, which causes symptoms of right HF and elevated filling pressures due to impaired ventricular filling from a stiff pericardium [10]: imaging may show pericardial thickening or calcification, and ventricular interdependence is a key diagnostic clue [11]; iv) High-output HF: Conditions like anemia, hyperthyroidism, or arteriovenous fistulas can lead to symptoms of HF despite normal EF due to increased circulatory demand and volume overload [12]; v) Valvular heart disease, especially aortic stenosis and mitral regurgitation: in early or compensated stages, these conditions could preserve EF but lead to elevated filling pressures and HF symptoms [13]; vi) Pulmonary hypertension can cause dyspnea and right ventricular dysfunction, but is not primarily caused by LV diastolic dysfunction [14]. In clinical practice, distinguishing HFpEF from its mimics requires a careful and systematic diagnostic approach, which includes a detailed history (including red flag symptoms like neuropathy, proteinuria, or family history), ECG and imaging findings (e.g. cardiac MRI for infiltration or pericardial disease), and sometimes tissue biopsy or genetic testing. Misclassification can lead to inappropriate treatment – such as diuretics in amyloidosis or missed targeted therapies – emphasizing the importance of recognizing HFpEF mimics in the differential diagnosis of patients with preserved EF and HF symptoms.
The distinction between primary and secondary HFpEF has both diagnostic and therapeutic implications. Diagnostic workup should include echocardiography, cardiac MRI, and, in some cases, invasive hemodynamic assessment to characterize the underlying mechanism. Additionally, tissue biopsy or nuclear imaging may be necessary when infiltrative cardiomyopathy is suspected. Therapeutically, while primary HFpEF lacks universally effective disease-modifying therapies and often requires a multifaceted approach addressing volume status, comorbidities, and lifestyle, secondary HFpEF may benefit from etiology-specific interventions that alter the disease course. Therefore, the categorization into primary vs secondary HFpEF is essential for individualized patient care and underscores the importance of a precision medicine approach in this increasingly prevalent syndrome.
3. Cellular and molecular mechanisms underlying HFpEF – Immunology of HFpEF
HFpEF is increasingly recognized as a systemic syndrome driven by immune dysregulation. Herein, we discuss the main contribution to HFpEF of the various components of the immune response.
3.1. T cells
The adaptive immune system – particularly T lymphocytes – has emerged as a contributor to the complex inflammatory milieu of HFpEF (Table 1). Although HFpEF has historically been viewed as a disorder of diastolic mechanics driven by comorbidity-induced microvascular dysfunction and fibrosis, recent evidence indicates that adaptive immune dysregulation, including perturbations in T cell subsets and function, participates in disease pathogenesis and progression [15].
Table 1.
Main roles of T cells in HFpEF.
| T Cell Subset | Phenotype/Markers | Role in HFpEF | Mechanisms | Relevant Evidence |
|---|---|---|---|---|
| CD4+ Th1 cells | IFN-γ+, T-bet+ | Pro-inflammatory; contribute to myocardial remodeling and stiffness | Secrete IFN-γ, TNF-α → activate macrophages, promote fibrosis and endothelial dysfunction | Elevated in HFpEF patients and murine models; correlated with diastolic dysfunction |
| CD4+ Th2 cells | IL-4+, GATA3+ | Ambiguous role; may modulate fibrosis | IL-4 may contribute to fibrosis by promoting alternative macrophage activation | Conflicting results; upregulated in some HFpEF contexts, especially with obesity |
| CD4+ Th17 cells | IL-17A+, RORγt+ | Potent pro-inflammatory mediator in tissue inflammation and fibrosis | IL-17A promotes fibroblast activation, endothelial dysfunction, and neutrophil recruitment | Elevated in obese HFpEF models; associated with hypertension and increased ROS |
| Regulatory T cells (Tregs) | CD4+ CD25+ FoxP3+ | Protective; counteract inflammation and fibrosis | Suppress effector T cell activity; promote tissue repair through IL-10 and TGF-β | Decreased function or numbers in HFpEF; augmentation improves outcomes in mouse models |
| CD8+ cytotoxic T cells | CD8+, perforin+, granzyme B+ | Cytotoxic; contribute to cardiomyocyte apoptosis | Direct killing of stressed or antigen-presenting cardiomyocytes; release of cytotoxic granules | Accumulate in myocardium in some HFpEF models; implicated in diabetic and hypertensive HF |
| T follicular helper cells (Tfh) | CXCR5+ PD-1+ ICOS+ | Support B cell responses; may contribute to autoimmunity | Enhance germinal center reactions; possible role in cardiac autoantibody production | Emerging evidence in autoimmune and fibrotic heart disease; not well studied in HFpEF |
| T resident memory cells (T_RM) | CD69+ CD103+ | Long-lived tissue-resident; may perpetuate local inflammation | Remain in myocardium; quickly respond to local antigens or stress | Identified in inflamed cardiac tissue; may underlie recurrent inflammation in HFpEF |
| Senescent T cells (CD28−) | CD4+ or CD8+ CD28− CD57+ | Senescence-associated pro-inflammatory (SASP) phenotype | Reduced proliferative capacity but secrete pro-inflammatory cytokines and contribute to fibrosis | Expanded in elderly and HFpEF patients; linked to systemic inflammation and comorbidities |
| MAIT cells | CD161+ Vα7.2+ (CD8+ or DN) |
Mucosal-associated; modulate tissue inflammation | Recognize microbial antigens via MR1; secrete IFN-γ and IL-17 under stress | Reduced numbers but activated phenotype in HFpEF-like metabolic disease |
Histological analyses of human endomyocardial biopsy specimens and animal models consistently demonstrate only modest infiltration of T lymphocytes in HFpEF myocardium, particularly when compared with macrophages [16]. In a chronic pressure-overload rat model of HFpEF, Sun and coworkers reported that CD3+ T cells were scarce in cardiac tissue even 24 weeks after surgery, whereas CD68+ macrophages predominated [16]. Similarly, mesoscopic profiling of murine HFpEF hearts showed focal clusters of immune cells with macrophages vastly outnumbering T lymphocytes, suggesting that local T cell – driven inflammation is limited or compartmentalized within the myocardium [17]. These observations raise the possibility that a systemic, rather than robust myocardial, T cell activation could underlie adaptive immune contributions to HFpEF. Although myocardial T cell infiltration is generally modest, systemic T cell activation – especially Th17 skewing – has been documented in HFpEF patients, potentially amplifying inflammation through IL-17 secretion [17]. Regulatory T cell (Treg) depletion exacerbates diastolic dysfunction and elevates proinflammatory cytokines in animal models, indicating a protective role for Tregs in restraining myocardial inflammation [18]. Aberrant complement activation, reflected by upregulated neutrophil CD55 expression, may further recruit immune cells and augment local inflammatory cascades [19]. These findings suggest that balancing effector and regulatory adaptive immune responses could modulate HFpEF progression. Most recently, Natural Killer T cells were shown to mediate the interorgan crosstalk between heart and brain in HFpEF [20].
Circulating T cell phenotypes in HFpEF patients reveal skewing toward proinflammatory effector subsets and concomitant perturbations in regulatory populations. An enrichment of Th17-like CD4+ T cells has been reported in the peripheral blood of HFpEF patients, accompanied by reduced frequencies of CD4+CD25+FoxP3+ regulatory T cells (Tregs); the Th17/Treg imbalance correlated with increased circulating levels of IL-17A, IL-6, and soluble ST2, markers linked to diastolic dysfunction and adverse prognosis [17]. This systemic T cell dysregulation may serve both as a biomarker and as a mechanistic driver of endothelial activation, microvascular inflammation, and fibrotic remodeling characteristic of HFpEF.
Th17 cells, through IL-17A secretion, can further amplify neutrophil recruitment and endothelial permeability, thereby potentiating a feed-forward cycle of inflammation and microvascular injury in HFpEF. Although originally characterized in mucosal immunity, Th17 cells have been detected in circulation during HFpEF and are posited to foster cardiac fibroblast activation via IL-17–mediated signaling pathways. In contrast, Tregs exert anti-inflammatory and antifibrotic effects by secreting IL-10 and transforming growth factor-β (TGF-β) and by modulating myeloid cell phenotypes. Experimental depletion of Tregs in a murine HFpEF model exacerbated diastolic dysfunction, increased cardiac IL-1β and tumor necrosis factor-α (TNF-α) expression, and promoted collagen deposition, underscoring a protective role for regulatory T cells in HFpEF [17].
The relative paucity of myocardial T cell infiltration in HFpEF suggests that T cell – mediated effects are exerted predominantly via paracrine mechanisms and systemic immunomodulation rather than direct cytotoxicity. Circulating Th17-driven cytokines such as IL-17A and IL-21 can modulate endothelial cell adhesion molecule expression (e.g. ICAM-1, VCAM-1), facilitating neutrophil and monocyte margination in the coronary microvasculature [17]. Concurrently, loss of Treg-derived IL-10 could disinhibit macrophage pro-fibrotic polarization (e.g. M2 phenotype), promoting extracellular matrix accumulation and ventricular stiffening [16]. Thus, the Th17/Treg axis constitutes a regulatory nexus linking adaptive immunity to the innate and stromal cell mediators of HFpEF.
Neutrophils and their extracellular traps (NETs) provide a critical link between systemic inflammation and local myocardial injury in HFpEF. Elevated circulating neutrophil counts and neutrophil-to-lymphocyte ratio (NLR) correlate with natriuretic peptide levels and hospitalization risk [21,22]. In mice, transient neutrophil arrest within myocardial capillaries impairs blood flow and induces local hypoxia, driving diastolic dysfunction [23,24]. NETosis, promoted by damage-associated molecular patterns such as HMGB1, contributes to interstitial fibrosis, macrophage infiltration, and stiffness, while NET inhibitors (e.g. DNase I) restore diastolic function in experimental models [25]. Low-density neutrophils (LDNs), prone to NETosis and thrombogenic activity, are increased in HFpEF and correlate with IL-6, IL-8, and C-reactive protein (CRP), suggesting a hyperactivated phenotype that exacerbates microvascular inflammation [26].
Therapeutic strategies targeting T cell – mediated inflammation in HFpEF are in early preclinical stages but hold promise. IL-17 receptor antagonists and monoclonal antibodies against IL-17A (e.g. secukinumab) have demonstrated efficacy in other inflammatory diseases and may attenuate Th17-driven cardiac inflammation in HFpEF [17]. Approaches to expand the Treg compartment – such as low-dose IL-2 therapy – could restore immunological tolerance and suppress maladaptive fibrotic signaling. Moreover, antigen-specific tolerogenic vaccines or adoptive transfer of ex vivo – expanded Tregs offer potential for precise immunomodulation of the Th17/Treg imbalance. Elucidating cardiac autoantigens and T cell receptor repertoires in HFpEF could further refine these interventions.
So, although T cells infiltrate HFpEF myocardium only sparsely, systemic T cell dysregulation – manifest as Th17/Treg imbalance – contributes to endothelial activation, microvascular inflammation, and fibrotic remodeling in HFpEF. Proinflammatory Th17 cells amplify neutrophil and macrophage recruitment, while deficient Treg activity permits unchecked fibrosis. Targeting the Th17/Treg axis thus represents a novel immunotherapeutic avenue in HFpEF, warranting further mechanistic and translational investigation. Integrating T cell – centric biomarkers with existing clinical and imaging parameters may enable precision phenotyping and guide adaptive trial designs for immunomodulatory therapies in HFpEF.
3.2. B cells
B-cells constitute a key arm of the adaptive immune system, yet their contribution to HFpEF remains not fully defined (Table 2). HFpEF is increasingly recognized as a systemic inflammatory syndrome in which innate and adaptive immune mechanisms synergize to promote endothelial dysfunction, microvascular inflammation, and myocardial fibrosis. B cells shape immune responses through antibody production, antigen presentation, and cytokine secretion. In other forms of HF, autoreactive B cells generate anti-cardiac antibodies that exacerbate myocardial injury and remodeling [27,28]. B-cell – derived immunoglobulins can activate complement on endothelial surfaces, promoting leukocyte recruitment and microvascular damage [21]. Moreover, B cells express co-sti-mulatory molecules (e.g. CD80/86) that modulate T-cell responses, potentially amplifying pathogenic Th17 activation [5]. These paradigms suggest plausible roles for B cells in HFpEF, although direct evidence in this syndrome is absent. Clinical HFpEF cohorts exhibit elevated complement activation fragments and dysregulated complement regulators such as CD55 on neutrophils, indicative of systemic complement engagement [19]. Since complement fixation is driven primarily by immunoglobulin binding, B-cell – derived autoantibodies might initiate or perpetuate microvascular inflammation in HFpEF [19,29]. Assessing circulating anti-cardiac autoantibodies and complement split products (C3a, C5a) in HFpEF patients could clarify whether B cells contribute to endothelial dysfunction and diastolic stiffness.
Table 2.
Functional contribution of B cells in HFpEF.
| B Cell Subset | Phenotype/Markers | Role in HFpEF | Mechanisms | Relevant Evidence |
|---|---|---|---|---|
| Naive B cells | IgD+ CD27− | Limited direct involvement; potential source of antigen-experienced clones | Can differentiate into memory or plasma cells upon activation | Altered proportions reported in HFpEF and aging-associated immune profiles |
| Memory B cells | CD27+ IgG+ or IgA+ | Antigen-experienced; may drive persistent inflammation or autoantibody production | Provide rapid secondary responses; involved in T cell – B cell crosstalk and cytokine production |
Expanded in metabolic syndrome; associated with inflammatory B cell phenotype in HFpEF |
| Plasma cells | CD138+ CD38+ | Antibody-secreting; may produce pathogenic autoantibodies | Autoantibodies against cardiac antigens may drive myocardial injury or endothelial activation | Autoantibody signatures detected in HFpEF-like models; role in fibrosis under investigation |
| Regulatory B cells (Bregs) | CD19+ CD24^iCD38^hi or CD5+ CD1d+ | Protective; produce anti-inflammatory cytokines | Secrete IL-10 and TGF-β to suppress T cell and macrophage activation | Decreased in HFpEF and aging; restoration improves immune balance in preclinical models |
| Age-associated B cells (ABCs) | CD11c+ T-bet+ | Pro-inflammatory; linked to senescence and metabolic inflammation | Secrete TNF-α, IL-6; express high levels of TLRs; antigen presentation to T cells | Expanded in obesity, diabetes, and aging – all HFpEF risk factors |
| Marginal zone-like B cells | CD21^lowCD23− | Innate-like rapid responders; role unclear in HFpEF | Respond quickly to blood-borne antigens; may influence early inflammatory tone | Enriched in inflammatory states; limited data in HFpEF |
| B1 cells | CD5+ (in mice; not clearly defined in humans) | Natural antibody producers; role in tissue homeostasis | Produce IgM with low affinity to self-antigens; may modulate clearance of apoptotic cells | Altered proportions in obesity and metabolic syndrome |
| Tertiary lymphoid structure (TLS)-associated B cells | Mixed (germinal center phenotype) | May support chronic inflammation in myocardium or vasculature | Local antigen presentation, autoantibody generation, and cytokine signaling | TLSs identified in cardiac and perivascular tissues in chronic heart conditions |
Beyond antibodies, B cells secrete cytokines – such as IL-6, TNF-α, lymphotoxin, and B-cell activating factor (BAFF) – that modulate myeloid and stromal cell behavior [21]. IL-6, a B-cell growth factor, is elevated in HFpEF and linked to titin hypophosphorylation and increased myocardial stiffness [30]. BAFF and APRIL regulate B-cell survival and have been implicated in vascular inflammation and remodeling in hypertension models [21]. Investigating B-cell cytokine expression in HFpEF may uncover novel pathways driving microvascular rarefaction and fibrosis. Endomyocardial biopsies from HFpEF patients have not yet been systematically evaluated for B-cell markers (e.g. CD19, CD20, CD138). In pressure-overload and SAUNA murine HFpEF models, infiltrating leukocytes are overwhelmingly macrophages, with negligible T-cell and neutrophil presence after chronic injury [16]. No data are available on B-cell homing to the HFpEF myocardium. Immunohistochemical and flow-cytometric studies are therefore warranted to determine whether B cells infiltrate cardiac tissue or reside in perivascular niches in HFpEF. Noninvasive biomarkers – including serum immunoglobulin isotypes, BAFF levels, —could serve as surrogates of B-cell activation in HFpEF. Proteomic profiling in HFpEF has identified acute-phase and remodeling proteins but did not detect immunoglobulin-related signatures, likely reflecting a focus on abundant plasma proteins [31,32]. Molecular imaging modalities, such as PET tracers targeting CD20 or Fc receptors, may permit in vivo visualization of B-cell accumulation in the HFpEF heart [33]. Integration of these biomarkers with machine-learning diagnostic models could reveal B-cell – driven HFpEF phenotypes [34]. If B cells are found to promote HFpEF pathogenesis, anti-B-cell therapies might be repurposed for HFpEF. Rituximab (anti-CD20) has demonstrated efficacy in autoimmune cardiac syndromes and could mitigate autoantibody-mediated endothelial injury [21]. Alternatively, BAFF inhibitors (e.g. belimumab) may suppress pathogenic B-cell survival and cytokine release. Immunoadsorption of circulating IgG has shown benefits in dilated cardiomyopathy but remains untested in HFpEF [29]. Early-phase trials employing B-cell – targeted agents, guided by biomarker endpoints, would clarify the therapeutic potential of B-cell modulation in HFpEF. B cells are central to adaptive immunity in cardiovascular disease but remain unexplored in HFpEF. The paucity of data on B-cell phenotypes, myocardial infiltration, and antibody-mediated mechanisms represents a major gap. Given the systemic inflammatory milieu of HFpEF, it is plausible that B-cell – driven autoimmunity and cytokine production contribute to endothelial dysfunction and fibrotic remodeling [35]. Rigorous clinical and preclinical investigations – encompassing immunophenotyping, tissue analyses, biomarker discovery, and molecular imaging – are urgently needed to define the role of B cells in HFpEF and to identify novel immunomodulatory strategies.
3.3. Monocytes and macrophages
Patients with HFpEF exhibit elevated circulating monocyte counts and increased monocyte-to-lymphocyte ratios, reflecting systemic immune activation. In a mouse model of HFpEF induced by diet and nitric oxide (NO) synthase inhibition, Ly6Chi (‘classical’) monocytes were selectively mobilized from bone marrow and spleen and infiltrated the heart early in disease [36]. Human HFpEF cohorts similarly demonstrate elevated serum levels of monocyte-derived cytokines (e.g. IL-6, TNF-α) correlating with worse diastolic indices and right-sided pressures [37]. Single-cell RNA sequencing in a dyslipidemia-induced model of diastolic dysfunction revealed that metabolic stress preferentially activates a CD14+CD16+ intermediate monocyte subset with a proinflammatory transcriptome, including upregulation of TNF, IL1B, and matrix-remodeling genes [37].
The healthy heart contains embryonically derived, self-renewing macrophages, but HFpEF is characterized by the recruitment of circulating monocyte-derived macrophages. Both the proteolytic and the profibrotic macrophage subsets have been shown to accumulate in murine HFpEF myocardium, secreting IL-10 and TGF-β that drive collagen cross-linking and impair relaxation [38]. Monocyte recruitment via CXCR4 and subsequent macrophage-to-fibroblast paracrine signaling have been shown to be essential for fibrotic remodeling in a hypertensive HFpEF model [39]. Genetic or pharmacologic blockade of CXCR4 reduced macrophage infiltration, attenuated fibroblast activation, and improved diastolic stiffness [39].
Monocyte-derived macrophages infiltrate the HFpEF myocardium, with CD68+ cell densities elevated in human endomyocardial biopsies and animal models [40,41]. Macrophage polarization skews toward M2-like, pro-fibrotic phenotypes in chronic pressure-overload models, releasing TGF-β and other cytokines that stimulate fibroblast activation and interstitial collagen deposition [16]. CXCR4-mediated monocyte recruitment amplifies macrophage-to-fibroblast signaling, aggravating diastolic dysfunction; pharmacologic CXCR4 antagonists have been shown to attenuate fibrosis and improve ventricular stiffness in murine HFpEF [39]. Additionally, myeloid-cell – derived IL-1β contributes to pulmonary vascular remodeling and right ventricular dysfunction, highlighting the heart – lung inflammatory axis in HFpEF [42].
In dyslipidemia models, cardiac macrophages upregulated glycolytic and lipid-handling pathways under metabolic stress, promoting proinflammatory polarization [37]. This metabolic switch may link systemic comorbidities – such as obesity and diabetes – to myocardial immune activation. Agents that correct macrophage metabolic dysfunction – such as sodiumglucose cotransporter 2 (SGLT2) inhibitors – reduce cardiac macrophage numbers and inflammatory cytokine expression in HFpEF models, potentially by limiting substrate availability for proinflammatory polarization [43].
Recruited macrophages secrete IL-1β, IL-6, and matrix metalloproteinases (MMPs) that degrade extracellular matrix and stimulate myofibroblast differentiation; concurrent IL-10 production by MHC-IIlo macrophages paradoxically enhances collagen cross-linking through lysyl oxidase (LOX) upregulation, further increasing myocardial stiffness [38].
Although predominantly studied in ischemic and pressure-overload contexts, disruption of STAT6 signaling in myeloid cells promotes profibrotic macrophage activation and cardiac fibrosis, suggesting that impaired M2-like responses may exacerbate HFpEF remodeling [44]. CXCR4 inhibitors (e.g. plerixafor) attenuate monocyte trafficking and have shown preclinical efficacy in reducing fibrosis and improving relaxation [39]. Neutralizing antibodies against IL-1β and IL-6 might impede macrophage-driven inflammation, although definitive clinical data in HFpEF are not available. Enhancing IL-10 signaling represents an alternative to skew macrophages toward a reparative phenotype. The main roles of monocyte/macrophages in HFpEF are summarized in Table 3. Key gaps remain in mapping the temporal dynamics and spatial localization of monocyte-derived versus resident cardiac macrophages in HFpEF. Advanced imaging (e.g. PET tracers for translocator protein) could noninvasively quantify macrophage burden and monitor responses to anti-inflammatory therapies. Single-cell and spatial transcriptomic profiling of human HFpEF biopsies will be critical to identify disease-specific macrophage subsets and validate targets. Integration of monocyte/macrophage biomarkers into HFpEF phenotyping might enable patient stratification for immunomodulatory trials.
Table 3.
Roles of monocyte–macrophage lineage in HFpEF.
| Subset/Type | Phenotype/Markers | Role in HFpEF | Mechanisms | Relevant Evidence |
|---|---|---|---|---|
| Classical monocytes | CD14+ + CD16− (human); Ly6^hi (mouse) | Pro-inflammatory; recruited to tissues during stress | Produce TNF-α, IL-1β, and MCP-1; differentiate into inflammatory macrophages in cardiac tissue | Expanded in HFpEF; associated with comorbidities (e.g. obesity, hypertension) |
| Intermediate monocytes | CD14+ CD16+ | Bridge between classical and non-classical monocytes | Secrete both pro- and anti-inflammatory cytokines; potent antigen presentation | Increased proportions correlate with vascular inflammation and endothelial activation |
| Non-classical monocytes | CD14^dimCD16+ (human); Ly6^lo (mouse) | Patrolling; may promote resolution or chronic inflammation | Survey endothelium; secrete IL-10 and scavenge debris | Altered function in aging and metabolic syndrome – key features of HFpEF |
| Pro-inflammatory (M1-like) | CD68+ CD80+ CD86+ iNOS+ | Amplify tissue inflammation and fibrosis | Produce IL-1β, IL-6, and reactive oxygen species (ROS); activate fibroblasts | Enriched in myocardium and perivascular fat in HFpEF models |
| Anti-inflammatory (M2-like) | CD206+ CD163+ Arg1+ | Involved in tissue repair and fibrosis resolution | Secrete IL-10 and TGF-β; support angiogenesis and extracellular matrix turnover | Impaired M2 polarization reported in metabolic HFpEF; imbalance favors chronic inflammation |
| Tissue-resident macrophages | CX3CR1+ Timd4+ (mouse); CD64+ CD11b^int (human) | Maintain local homeostasis; modulate immune responses | Clear apoptotic cells, regulate local inflammation, support endothelial barrier | Depleted or functionally impaired in aging and diabetic HFpEF hearts |
| Cardiac infiltrating macrophages | CD11b+ F4/80+ MHC-II+ (mouse) | Drive myocardial remodeling and diastolic dysfunction | Secrete cytokines, matrix metalloproteinases (MMPs), and fibrotic factors |
Central to perivascular inflammation and fibrosis in HFpEF models |
| Perivascular macrophages | CD11b+ F4/80+ CD206+ in perivascular niches | Modulate vascular stiffness and endothelial dysfunction | Crosstalk with vascular smooth muscle cells; secrete TGF-β and PDGF | Observed in coronary microvascular inflammation in HFpEF human and mouse studies |
| Macrophage-derived foam cells | CD36+ CD68+ (in metabolic disease) | Promote oxidative stress and stiffening | Lipid accumulation; secrete pro-oxidant and pro-inflammatory mediators | Seen in obese/diabetic HFpEF models; link to endothelial and mitochondrial dysfunction |
3.4. Mast cells
Mast cells play an increasingly recognized role in the pathophysiology of HFpEF (Table 4), primarily through their contribution to inflammation, microvascular dysfunction, and myocardial fibrosis – hallmarks of this condition (as detailed in the sections below).
Table 4.
Fundamental roles of mast cells in HFpEF.
| Subset/Type | Phenotype/Markers | Role in HFpEF | Mechanisms | Relevant Evidence |
|---|---|---|---|---|
| Connective tissue-type mast cells (CTMCs) | CD117+ (c-Kit), FcεRI+, tryptase+, chymase+ | Promote myocardial and perivascular fibrosis | Release chymase, tryptase, and histamine; activate fibroblasts and TGF-β signaling | Increased in perivascular spaces of HFpEF hearts; chymase promotes collagen deposition |
| Mucosal-type mast cells (MMCs) | CD117+, tryptase+, low or absent chymase | Less abundant in myocardium | May contribute to systemic inflammation and vascular permeability | Rare in cardiac tissue; limited evidence in HFpEF |
| Activated degranulating mast cells | Degranulation visualized by tryptase staining or EM | Initiate acute and chronic inflammatory cascades | Release histamine, cytokines (e.g. IL-6, TNF-α), leukotrienes, and proteases | Degranulation observed in myocardial biopsies and animal models of HFpEF |
| Perivascular mast cells | Tryptase+, localized to adventitia or periarteriolar regions | Contribute to microvascular rarefaction and stiffness | Promote endothelial dysfunction, ROS generation, and smooth muscle proliferation | Enriched in coronary microcirculation of HFpEF patients |
| Chymase-producing mast cells | Chymase+ (serine protease) | Facilitate cardiac remodeling and fibrosis | Activate TGF-β, angiotensin II, and MMPs; potentiate extracellular matrix deposition | Pharmacologic inhibition of chymase reduces HFpEF-like features in animal models |
| Tryptase-producing mast cells | Tryptase+ | Promote inflammation and matrix degradation | Activate PAR-2, stimulate fibroblasts, and recruit other immune cells | Elevated tryptase levels correlate with diastolic dysfunction severity |
| Histamine-releasing mast cells | Release histamine upon IgE or non-IgE triggers | Modulate vascular tone, permeability, and inflammatory recruitment | Induce vasodilation and endothelial activation; may impair coronary reserve | Histamine implicated in myocardial and vascular remodeling in HFpEF comorbid contexts |
In HFpEF, systemic comorbidities such as hypertension, obesity, and diabetes drive chronic low-grade inflammation; mast cells, which are resident in cardiac tissue and abundant in perivascular regions, become activated in this inflammatory milieu [45]. Upon activation, they degranulate and release a variety of pro-inflammatory and pro-fibrotic mediators, including histamine, tryptase, chymase, TNF-α, and interleukins [46,47]. These factors amplify local inflammation and recruit additional immune cells, sustaining the inflammatory cascade.
HFpEF is characterized by coronary microvascular rarefaction and endothelial dysfunction, which impair NO bioavailability and lead to increased cardiomyocyte stiffness. Mast cell-derived mediators – particularly histamine and chymase – can contribute to endothelial activation and permeability, exacerbating capillary leak, promoting leukocyte adhesion, and impairing vasodilation [48]. Chymase can also convert angiotensin I to angiotensin II independently of ACE [49], further promoting vasoconstriction and inflammation.
Mast cells are potent sources of fibrogenic signals, such as TGF-β, platelet-derived growth factor (PDGF), and tryptase [50,51], which activate cardiac fibroblasts and stimulate extracellular matrix production. The resulting interstitial fibrosis contributes to myocardial stiffening – a central mechanism of diastolic dysfunction in HFpEF.
Preclinical studies in models of pressure overload and metabolic stress have shown increased cardiac mast cell infiltration and that mast cell stabilization (e.g. with cromolyn sodium) can reduce fibrosis and improve diastolic function [52–54]. Clinical studies have also reported elevated mast cell density and tryptase expression in myocardial biopsies from HFpEF patients [55], supporting their relevance in human disease. These findings suggest that targeting mast cell activation or specific mast cell-derived mediators may represent a novel therapeutic strategy in HFpEF.
4. Inflammation and HFpEF: roles of specific cytokines
Chronic low-grade inflammation emerges as a major contributor to the pathophysiology of HFpEF. Systemic inflammatory markers, including cytokines such as TNF-α and interleukins (e.g. IL-1β and IL-6), are often elevated in HFpEF patients, reflecting ongoing systemic immune activation and correlating with diastolic dysfunction severity [18,19,56,57]. These pro-inflammatory mediators can drive myocardial fibrosis, impair endothelial function, and exacerbate diastolic dysfunction [32,58,59]. In particular, TNF-α is known to activate various inflammatory pathways, contributing to increased vascular permeability and cardiomyocyte stress [57,60].
HFpEF predominantly affects older individuals burdened with multiple noncardiac comorbidities whose chronic low-grade inflammation is hypothesized to trigger coronary micro-vascular endothelial dysfunction [21,61]. In this context, comorbidity-derived cytokines penetrate the myocardial interstitium, where they impair NO bioavailability and cyclic guanosine monophosphate (cGMP)-dependent protein kinase G (PKG) signaling in cardiomyocytes, leading to increased resting tension, hypertrophy, and interstitial fibrosis [21]. Preclinical models of HFpEF induced by combined metabolic (high-fat diet) and renal stress recapitulate elevated plasma levels of IL-6 and TNF-α, and demonstrate that neutralization of these cytokines ameliorates both diastolic dysfunction and myocardial relaxation kinetics. These findings underscore the mechanistic plausibility of a systemic-to-microvascular-to-myocardial inflammatory axis in HFpEF.
Among the pro-inflammatory cytokines, IL-6 has garnered particular attention due to its consistent association with incident HFpEF and adverse outcomes. In community-based cohorts, elevated baseline IL-6 predicted future HFpEF development independently of traditional cardiovascular risk factors, while in HFpEF patients, higher IL-6 concentrations correlated with increased rates of cardiovascular mortality and rehospitalization [62–65]. Mechanistically, IL-6 fosters fibroblast-to-myofibroblast transformation and collagen deposition in the myocardium and exacerbates arterial stiffness by promoting endothelial dysfunction and vascular smooth muscle cell proliferation [21,64]. Furthermore, IL-6 amplifies local inflammation via trans-signaling pathways, thereby sustaining a feed-forward loop of tissue injury and reparative fibrosis that impairs ventricular compliance [63].
TNF-α, another potent pro-inflammatory cytokine, has been implicated in HFpEF pathobiology through multiple lines of evidence. HFpEF patients exhibit elevated circulating TNF-α levels compared to controls, and mechanistic studies demonstrate that TNF-α impairs calcium handling in cardiomyocytes and reduces titin phosphorylation, thereby increasing passive stiffness. Interestingly, receptor-level analyses reveal that TNF-α receptor 2 is disproportionately upregulated in HFpEF relative to HFrEF, suggesting distinct receptor-mediated signaling profiles across HF phenotypes. Experimental neutralization of TNF-α in animal HFpEF models restores myocardial relaxation and mitigates perivascular fibrosis, further supporting a causal role.
IL-1β and related family members participate in the initiation and amplification of sterile inflammation and have been detected at higher levels in HFpEF patients versus both HFrEF and non-HF controls [66]. Activation of the NLRP3 inflamma-some in immune cells and cardiac fibroblasts leads to IL-1β release, which in turn upregulates adhesion molecules, chemokines, and additional cytokines, thus recruiting monocytes and perpetuating interstitial inflammation and fibrosis [21]. Although clinical data specific to IL-1 blockade in HFpEF remain limited, small proof-of-concept studies using IL-1 receptor antagonists demonstrate improved exercise capacity and reduced natriuretic peptide levels, highlighting the therapeutic promise of this axis [67–69].
Monocyte Chemoattractant Protein-1 (MCP-1, CCL2) drives monocyte recruitment into the myocardium and is elevated in HFpEF, particularly in obese and diabetic phenotypes [65,70]. Once infiltrated, monocytes differentiate into macrophages, whose phenotypic polarization (M1 vs. M2) dictates local cytokine profiles: M1 macrophages secrete pro-inflammatory mediators (e.g. IL-6, TNF-α), whereas M2 macrophages produce TGF-β and facilitate fibrosis [70]. Dysregulated macrophage polarization therefore contributes to a maladaptive reparative response characterized by excessive extracellular matrix deposition and increased myocardial stiffness. Epicardial adipose tissue (EAT), which envelops the myocardium, represents a rich source of biologically active cytokines and adipokines that can modulate myocardial structure and function [70]. In HFpEF patients, EAT thickness correlates positively with plasma IL-6, C-reactive protein, and uric acid levels, and associates with worse hemodynamic compromise and exercise intolerance [71]. Adipocyte-derived IL-6 and MCP-1 facilitate local inflammatory cell infiltration into the adjacent myocardium, thereby amplifying microvascular dysfunction and perivascular fibrosis [70].
Multiplex analyses in large HF cohorts reveal that inflammation-related biomarkers (e.g. IL-6, TNF-α, pentraxin-3, soluble suppression of tumorigenicity-2) display stronger associations with HFpEF compared to HFrEF and improve risk stratification beyond natriuretic peptides alone. Network-based approaches identify clusters of cytokine-mediated pathways, including angiogenesis, immune activation, and extracellular matrix remodeling, as key discriminators of HFpEF phenotypes [71]. IL-6 in particular emerges as a consistent predictor of both HFpEF onset in asymptomatic individuals and adverse clinical outcomes post-hospitalization [63,64].
Given the centrality of cytokine-driven inflammation in HFpEF (Table 5), several therapeutic strategies have been explored. Selective inhibition of IL-6 trans-signaling using monoclonal antibodies has shown promise in preclinical HFpEF models, improving diastolic function and reducing myocardial fibrosis [21,62]. Anti-TNF therapies, despite disappointing results in HFrEF, may warrant revisitation in HFpEF subsets with pronounced TNF-α signaling. Furthermore, agents targeting upstream inflammasome activation or macrophage polarization hold potential to modulate multiple cytokine pathways simultaneously [21].
Table 5.
Roles of cytokines in HFpEF.
| Cytokine | Source Cells | Primary Role in HFpEF | Mechanisms | Clinical/Experimental Evidence |
|---|---|---|---|---|
| TNF-α | Macrophages, T cells, mast cells, adipocytes | Pro-inflammatory, promotes myocardial inflammation | Activates NF-κB pathway, promotes endothelial dysfunction and fibrosis | Elevated in HFpEF patients; associated with diastolic dysfunction |
| IL-6 | Macrophages, T cells, endothelial cells | Systemic inflammation, myocardial hypertrophy | Induces STAT3 activation, promotes cardiomyocyte hypertrophy and fibrosis | Correlates with severity of HFpEF and systemic comorbidities |
| IL-1β | Monocytes/macrophages, endothelial cells | Induces endothelial activation and fibrosis | Activates inflammasomes, upregulates adhesion molecules and pro-fibrotic genes | Inhibition improves cardiac function in preclinical HFpEF models |
| TGF-β | Macrophages, fibroblasts, mast cells | Central driver of fibrosis and ECM remodeling | Stimulates fibroblast differentiation into myofibroblasts, increases collagen | Strongly upregulated in HFpEF; therapeutic target in animal models |
| IL-10 | Regulatory T cells, M2 macrophages | Anti-inflammatory, protective effects | Suppresses pro-inflammatory cytokine production, inhibits macrophage activation | Decreased levels may contribute to immune imbalance in HFpEF |
| IL-17A | Th17 cells | Pro-inflammatory, promotes neutrophil recruitment | Stimulates IL-6 and TNF-α production, increases vascular permeability | Elevated in some HFpEF models; links immune activation to vascular injury |
| IFN-γ | Th1 cells, NK cells | Immune activation, promotes endothelial dysfunction | Induces ROS, impairs NO bioavailability, upregulates adhesion molecules | Correlated with impaired vasodilation in HFpEF patients |
| IL-4/IL-13 | Th2 cells | Promotes fibrosis and alternative macrophage activation (M2) | Stimulate TGF-β signaling, eosinophil recruitment, and ECM production | Implicated in pro-fibrotic cardiac remodeling in HFpEF models |
| MCP-1 (CCL2) | Endothelial cells, fibroblasts, macrophages | Recruits monocytes/macrophages to myocardium | Binds CCR2 on monocytes; amplifies local inflammation and fibrosis | Elevated in HFpEF; MCP-1 inhibition reduces cardiac fibrosis in models |
| IL-33 | Endothelial cells, fibroblasts | Dual role: pro-inflammatory and cardioprotective (context-dependent) | Activates ST2 pathway; can promote hypertrophy or limit inflammation | Soluble ST2 (sST2) elevated in HFpEF and used as a prognostic biomarker |
| GM-CSF | T cells, macrophages | Enhances antigen-presenting cell activity | Increases dendritic cell survival and inflammation | Suggested to contribute to immune activation in cardiometabolic HFpEF |
| IL-18 | Macrophages, epithelial cells | Pro-inflammatory, inflammasome-related cytokine | Activates IFN-γ production, promotes vascular injury | Associated with coronary microvascular dysfunction in HFpEF patients |
| Osteopontin (OPN) | Macrophages, fibroblasts, cardiomyocytes | Pro-fibrotic and inflammatory signaling mediator | Enhances collagen deposition, fibroblast activation | Strongly upregulated in HFpEF myocardium; potential therapeutic target |
Optimal management of HFpEF requires a multimodal approach that addresses both systemic comorbidities and myocardial inflammation. Weight reduction in obese HFpEF patients attenuates EAT volume and lowers circulating IL-6, improving exercise capacity [21]. Aggressive control of blood pressure and glycemia can mitigate cytokine production from vascular and renal sources, thereby preserving microvascular function and delaying HFpEF progression [21,72]
Despite compelling mechanistic and biomarker data, large-scale clinical trials of anti-inflammatory therapies in HFpEF remain scarce. Key challenges include patient heterogeneity, identification of inflammation-dominant phenotypes, and optimal timing of intervention. Integration of precision phenotyping – combining circulating cytokine profiles with imaging and genomics – may enable targeted therapy and improve trial success [73].
As previously discussed, pro-inflammatory cytokines such as TNF-α and IL-6 directly influence cardiomyocyte and fibroblast function. TNF-α promotes hypertrophy and extracellular matrix turnover, while IL-6 induces endothelial activation and leukocyte recruitment [30]. Chronic exposure to these cytokines leads to titin hypophosphorylation, increasing cardiomyocyte passive stiffness and exacerbating diastolic dysfunction; IL-6 receptor blockade has been shown to restore titin phosphorylation and compliance in experimental myocarditis [30]. Anti-cytokine therapies, including IL-1β and IL-6 antagonists, have yielded promising preclinical results but require rigorous clinical evaluation in HFpEF populations [42,74]. Alternative immunomodulatory strategies, such as vagus nerve stimulation, harness the cholinergic anti-inflammatory pathway to reduce myocardial inflammation and fibrosis through α7 nicotinic acetylcholine receptor – mediated effects on macrophages [75].
The role of macrophages in HFpEF has recently gained more attention, with studies indicating that M2 macrophage activation may drive cardiac fibrosis and inflammation, contributing to diastolic dysfunction [16,76]. The infiltration of immune cells into the myocardium exacerbates this inflammation, leading to structural and functional remodeling of the heart [77,78]. Recently, also intramyocardial lipotoxicity has been shown to contribute to cardiac dysfunction in HFpEF [79,80]. Circulating indices of inflammation, including neutro-phil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), are elevated in HFpEF patients and independently predict adverse outcomes [21,22,81]. Proteomic analyses have identified novel biomarkers such as lipocalin-2 (LCN2), which has been shown to correlate with prevalent HFpEF and underscores inflammation in disease pathogenesis [32].
Emerging anti-inflammatory therapies to treat HFpEF include myeloperoxidase (MPO) inhibitors (AZD4831, also known as mitiperstat) and chemokine receptor blockers targeting CXCR4 and CCR2 pathways [42,82]. MPO, predominantly released by degranulating neutrophils, binds to the subendothelial matrix, where its enzymatic activity propagates oxidative injury and diastolic dysfunction [74]. In the SATELLITE (Safety and Tolerability Study of AZD4831 in Patients With HF) study, a double-blind randomized 3-month trial evaluating safety and tolerability of AZD4831 in HFpEF, the inhibition of MPO significantly downregulated several markers of inflammation, including CDCP1, PRELP, CX3CL1, LIFR, VSIG2 [83].
Early-phase trials of IL-6 receptor antagonists [84] and IL-1β inhibitors [85] in HFpEF are supported by preclinical data demonstrating reversal of titin hypophosphorylation and fibrosis [30,42,86]. Vagal neuromodulation represents a non-pharmacologic approach to immune modulation, with transcutaneous stimulation reducing myocardial macrophage infiltration and fibrosis in preclinical studies [75]. Adaptive trial designs incorporating early biomarker endpoints may accelerate the identification of responders and refine therapeutic algorithms.
Molecular imaging of cardiac inflammation via PET tracers targeting activated macrophages, neutrophils, and MPO provides noninvasive assessment of myocardial immune landscapes in HFpEF [33]. Such imaging modalities enable patient selection for targeted immunotherapies, real-time monitoring of treatment effects, and elucidation of in vivo mechanisms. Integration of imaging with serum biomarkers and multi-omic data will facilitate precision phenotyping and mechanism-guided therapy in HFpEF. Ongoing research is exploring anti-inflammatory approaches due to the involvement of systemic inflammation in the pathophysiology of HFpEF [87].
5. Endothelial dysfunction
Endothelial dysfunction undoubtedly represents a critical pathway in HFpEF, contributing to both microvascular and macro-vascular complications. Patients often exhibit impaired endothelial-dependent vasodilation, which can exacerbate hypertension – a common comorbidity in HFpEF patients [62]. Dysfunction in the endothelium leads to reduced NO bioavailability, promoting further cardiovascular alterations such as vascular stiffness and increased systemic vascular resistance. Furthermore, vascular inflammation and systemic endothelial dysfunction can lead to coronary microvascular dysfunction. Such microvascular impairments are particularly relevant in the context of obesity and diabetes, where insulin resistance further worsens endothelial performance [21,88]. Data suggest that microvascular dysfunction may be a more significant contributor to HFpEF than myocardial fibrosis itself [62].
Endothelial dysfunction in HFpEF mostly arises from oxidative stress – driven reduction of NO bioavailability and impaired endothelial NO synthase signaling, facilitating leukocyte adhesion, capillary rarefaction, and microvascular inflammation [30,89]. Activated endothelial cells upregulate adhesion molecules (e.g. VCAM-1, ICAM-1) and release pen-traxin-3, promoting immune cell recruitment to the myocardial interstitium [30,89]. Likewise, NADPH oxidase (NOX) isoform upregulation in microvascular cells amplifies reactive oxygen species (ROS) production, further compromising myocardial perfusion and compliance [90]. Cytokines such as IL-6 and TNF-α directly compromise endothelial barrier integrity, diminish NO bioavailability, and promote endothelial-to-mesenchymal transition, all of which contribute to capillary rarefaction and increased vascular stiffness. Intravascular imaging studies and perivascular fat attenuation on computed tomography link systemic cytokine elevations to objective indices of microvascular dysfunction in HFpEF patients, thereby validating the comorbidity – inflammation – microvasculature paradigm [91].
6. Fibrosis and metabolic dysfunction
Myocardial fibrosis is one of the most significant structural alterations observed in HFpEF. Fibroblast activation and collagen deposition are prominent features, driven by inflammatory stimuli and mechanical stress [75,92,93]. The expression of connective tissue growth factor (CTGF) and other profibrotic factors, such as TGF-β, has been implicated in fostering a fibrotic response that compromises diastolic function by enhancing myocardial stiffness [57]. Interestingly, several studies have reported that galectin-3 and other biomarkers could serve as indicators of ongoing fibrotic processes in patients suffering from HFpEF [62,94]. Notably, the inter-relationship of inflammation and fibrosis through cytokine signaling appears to constitute a vicious cycle that continues to undermine cardiac function [95].
At the cellular level, alterations in calcium handling, particularly through changes in sarcoplasmic reticulum function, also contribute to diastolic dysfunction exhibited in HFpEF. Proteins like titin, pivotal in cardiac muscle elasticity, may be involved in the stiffness that characterizes HFpEF [96]. Additionally, the role of non-coding RNAs and microRNAs in modulating these processes presents a newer area of investigation, with promising therapeutic implications [59, 97].
HFpEF is frequently associated with obesity and metabolic syndrome, where metabolic alterations, such as insulin resistance and dyslipidemia, contribute significantly to cardiac dysfunction [58,98]. Excessive epicardial adipose tissue, known to be metabolically active, secretes numerous inflammatory cytokines that worsen systemic inflammation [99,100]. This interplay between adiposity and cardiac function creates an environment where metabolic disturbances can precipitate or exacerbate HFpEF [101].
Renal dysfunction is another critical comorbidity in HFpEF, further complicating the clinical manifestation of the syndrome. Kidney impairment drives systemic inflammation and fluid retention, amplifying cardiac workload and potentially contributing to the observed diastolic dysfunction [102–104]. Mounting evidence indicates that the kidney actively participates in maintaining a systemic inflammatory state critical to HFpEF pathophysiology [78].
7. Clinical trials testing immunomodulators
Clinical trials conducted in HFpEF patients have been varied in design, objectives, and outcomes, reflecting the complexity and heterogeneity of this condition (Table 6). Despite the initiation of multiple clinical trials, HFpEF trials have faced difficulties. The heterogeneity of the patient population complicates participant recruitment and can potentially dilute treatment effects. This aspect is particularly evident in trials evaluating common treatments, like RAAS inhibitors and beta-blockers, which have often failed to show a clear benefit in mortality or hospitalizations when applied broadly to HFpEF patients [105–107]. Phenotyping, therefore, emerges as a key strategy to better stratify patients in clinical trials based on the underlying pathophysiology.
Table 6.
Main clinical trials testing immunomodulators in HFpEF.
| Trial Name/Acronym | Therapeutic Agent or Device | Phase | Targeted Patient Group/Criteria | Main Findings or Purpose |
|---|---|---|---|---|
| Mitiperstat (AZD4831) | MPO inhibitor | Phase II | HFpEF with elevated MPO-mediated inflammation | Biomarker modulation observed |
| DHART and D-HART2 | Anakinra (IL1β blocker) | Phase II | HFpEF with elevated hsCRP | Significant reduction in CRP |
| COLpEF | Colchicine | Phase II | HFpEF (inflammationfocused) | Evaluating antiinflammatory effect on symptoms and biomarkers |
| HERMES | Ziltivekimab (antiIL6 monoclonal antibody) | Phase II – III | HFpEF or HFmrEF with systemic inflammation | Evaluating impact on CV death, HF hospitalizations, urgent visits |
| JK07 | Novel agent in early development | Phase II planned | HFpEF and HFrEF | Dose-dependent biomarker improvements; upcoming randomized trial |
The clinical investigation of inflammation and immunology in HFpEF reflects an evolving understanding of the disease as more than a hemodynamic disorder. As mentioned above, increasing evidence implicates systemic and myocardial inflammation, immune cell infiltration, and endothelial dysfunction as central to HFpEF pathophysiology, particularly in patients with multimorbidity – such as obesity, type 2 diabetes, hypertension, and chronic kidney disease – that promote chronic low-grade inflammation and immune activation. Several clinical trials have tested therapies designed to modulate immune and inflammatory signaling. Interleukin-1 (IL-1) has been a major target due to its role in promoting myocardial dysfunction, fibrosis, and systemic inflammation. In the D-HART and D-HART2 trials, anakinra, a recombinant IL-1 receptor antagonist, was evaluated in HFpEF patients with elevated C-reactive protein (CRP) [108,109], demonstrating reductions in CRP and NT-proBNP levels [85]. Similarly, cana-kinumab, an anti-IL-1β monoclonal antibody, showed cardiovascular event reduction in post-MI patients with elevated CRP in the CANTOS trial (NCT01327846), and subgroup analyses have suggested potential relevance to HF populations, though HFpEF-specific data are limited [110,111]. Investigations into the role of colchicine and Coenzyme Q10 supplementation show potential in managing inflammation and improving diastolic function in HFpEF patients [112,113]; their inclusion in ongoing clinical trials reflects the effort to address suboptimal results from earlier studies. Targeting broader inflammatory signaling, the EMPEROR-Preserved trial has evaluated SGLT2 inhibitors, which possess anti-inflammatory and anti-fibrotic properties beyond glycemic control [114], demonstrating reduced HF hospitalizations and improved quality of life, positioning SGLT2 inhibitors as cornerstones of HFpEF therapy [115]; while these agents are not classical immunomodulators, they may attenuate inflammation indirectly by improving metabolic stress, reducing oxidative stress, and altering macrophage polarization [116,117].
Other immunologically relevant targets under investigation include galectin-3, a profibrotic and pro-inflammatory lectin elevated in HFpEF and associated with adverse outcomes. Though no galectin-3–targeting drugs have yet proven efficacy in large HFpEF trials, it remains an attractive biomarker and therapeutic target [118]. Additionally, the JAK-STAT pathway, activated by cytokines and implicated in myocardial hypertrophy and macrophage activation, is being explored in preclinical studies and early-phase trials for its potential to reduce cardiac inflammation and stiffness [119].
Therapies modulating endothelial inflammation and immune cell trafficking have also garnered interest. Soluble guanylate cyclase (sGC) stimulators (e.g. vericiguat) improve NO signaling and might indirectly reduce immune activation, but clinical results were not significant in HFpEF patients [120]. Additionally, novel agents targeting TNF-α, are under conceptual development based on mechanistic models [121], though past studies of TNF-α blockade in HFrEF (e.g. RENEWAL and ATTACH trials [122]) have tempered enthusiasm for direct translation without precision targeting.
These trials highlight an emerging therapeutic paradigm in HFpEF that emphasizes immune modulation and inflammation resolution. However, heterogeneous trial populations, challenges in selecting enriched phenotypes, and the complexity of immune-metabolic interactions in HFpEF continue to limit definitive progress. Future success may hinge on biomarker-driven precision medicine strategies that identify patients most likely to benefit from specific immunologic interventions.
Clinical trials are evolving to address the multifaceted nature of HFpEF, with several studies highlighting the range of therapeutic options, from pharmacologic to device-based interventions. As these trials progress, a clearer understanding of which treatments benefit specific phenotypes of HFpEF patients will emerge, aiding in the quest for more effective management strategies. For instance, device-based therapies like the REDUCE LAP-HF trial are exploring the possibility of shunting to alleviate left atrial pressure and improve clinical outcomes in HFpEF patients. Initial results suggest promise in safely managing symptomatic patients [123,124].
8. Conclusion
The cellular and molecular mechanisms underlying HFpEF are multifaceted, encompassing systemic inflammation, endothelial dysfunction, cardiac fibrosis, and metabolic dysregulation. Understanding the interplay between these factors is critical for developing targeted interventions and improving outcomes for HFpEF patients. HFpEF heterogeneity necessitates phenotypic stratification to guide targeted immunotherapies. Data-driven clustering of clinical and biomarker profiles delineates distinct phenotypes – obesity- and inflammation-dominant, hypertensive-fibrotic, and pulmonary vascular – predominant subgroups – with variable responses to interventions [98,125]. Obesity-associated HFpEF exhibits heightened adipokine-driven inflammation and myocardial metabolic derangements; recent trials with semaglutide provide evidence that weight-reduction strategies improve hemodynamics and attenuate systemic inflammation in this phenotype [98]. Additionally, amyloid (ATTR-CM) – associated HFpEF represents a discrete entity with unique inflammatory signatures necessitating specific therapeutic strategies [126]. Precision medicine approaches integrating clinical, imaging, and multi-omic inflammatory markers promise individualized care in HFpEF [127].
9. Expert opinion
Biomarker-guided risk stratification leveraging composite immune indices enhances HFpEF prognostication and therapeutic monitoring. High-sensitivity C-reactive protein (hs-CRP), MPO, NLR, PLR, lymphocyte-to-monocyte ratio, and systemic immune-inflammation index each correlate with exercise tolerance, hospitalization risk, and mortality in HFpEF [22,74,81]. Proteomic studies reveal dysregulation of acute-phase proteins and extracellular matrix components across the ejection fraction spectrum, providing candidate targets for immunomodulation [31,32,128]. Machine learning models that incorporate inflammatory biomarkers with clinical parameters achieve superior diagnostic accuracy for HFpEF and predict incident events [32,34,129].
Standard HF therapies exhibit ancillary anti-inflammatory effects that may benefit HFpEF patients. SGLT2 inhibitors reduce circulating IL-6 and TNF-α levels, improve endothelial function, and mitigate macrophage activation [130]. Statins exert pleiotro-pic immunomodulatory actions – lowering CRP, stabilizing endothelium, and reducing neutrophil infiltration – but definitive outcome data in HFpEF remain limited [131]. β-blockers demonstrate modest anti-inflammatory effects by attenuating sympathetic-driven cytokine release, though meta-analyses yield mixed efficacy in HFpEF cohorts [131]. Catheter ablation of atrial fibrillation reduces myocardial inflammation and can improve HFpEF outcomes, as investigated in the CABA-HFPEF-DZHK27 trial [132]. A personalized approach to treatment is key, given the diversity of HFpEF phenotypes. Recognition of these distinct phenotypes, driven by specific comorbidities and pathophysiological mechanisms, may guide future therapeutic strategies and clinical trial designs [133,134].
Despite advances, substantial gaps remain in understanding HFpEF immunopathology. The initial triggers of immune activation in early HFpEF are unclear, and the interplay between innate and adaptive immunity over disease progression requires further elucidation. Standardized translational biomarkers and animal models that recapitulate human immune – myocardial interactions are essential for bridging preclinical findings to clinical trials. Furthermore, long-term safety and off-target effects of immunosuppressive therapies necessitate vigilant evaluation. Multidisciplinary efforts across immunology, cardiology, and systems biology are critical to surmount these challenges.
In conclusion, HFpEF is a multisystem inflammatory syndrome in which innate and adaptive immune mechanisms drive endothelial dysfunction, microvascular inflammation, and fibrotic remodeling. Circulating and tissue biomarkers of inflammation offer prognostic and therapeutic guidance, while emerging therapies – including MPO inhibitors, cytokine antagonists, vagal neuromodulation, and precision phenotyping [135]—hold promise for targeted immunomodulation. Continued integration of mechanistic, translational, and clinical research will be pivotal in transforming HFpEF management from symptomatic relief to inflammation-driven, personalized interventions. The management of HFpEF will need to align closely with the unique pathophysiological profile of individual patients, particularly transforming the traditional ‘one size fits all’ approach into more personalized therapeutic strategies. Hence, managing HFpEF necessitates a comprehensive approach that combines pharmacological and non-pharmacological strategies, addressing both symptomatology and associated comorbidities. Ongoing trials and research will undoubtedly help refine these strategies further, guiding clinicians in providing tailored care for this multifaceted syndrome.
Article highlights.
HFpEF is increasingly recognized as a multisystem inflammatory disorder in which innate and adaptive immune mechanisms drive endothelial dysfunction, microvascular inflammation, and myocardial fibrosis.
Distinct HFpEF phenotypes – obesity/inflammation-dominant, hypertensive-fibrotic, pulmonary vascular – predominant, and amyloid-associated – display unique immunometabolic profiles, underscoring the need for phenotype-guided, precision immunotherapy.
Biomarker-based immune profiling (hs-CRP, MPO, NLR, PLR, and systemic immune-inflammation index) enhances prognostication, risk stratification, and therapeutic monitoring in HFpEF.
Standard HF therapies (SGLT2 inhibitors, statins, β-blockers) exert ancillary anti-inflammatory effects, while novel interventions such as MPO inhibitors, cytokine antagonists, and vagal neuromodulation are emerging as targeted immunomodulatory strategies.
Future progress hinges on integrating clinical, imaging, and multi-omic inflammatory data, supported by improved translational models, to enable truly personalized, inflammation-driven management of HFpEF.
Funding
The Santulli Lab is supported in part by the National Institutes of Health (NIH): National Heart, Lung, and Blood Institute [R01-HL146691, R01-HL164772, R01-HL159062, T32-HL144456, T32-HL172255], National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) (R01-DK123259, R01-DK033823), National Center for Advancing Translational Sciences (NCATS) (UL1-TR002556-06, UM1-TR004400), by the American Heart Association (AHA) (24IPA1268813), and by the Monique Weill-Caulier and Irma T. Hirschl Trusts (to G.S.). S.S.J. is supported in part by a postdoctoral fellowship of the American Heart Association (AHA) (AHA-21POST836407). F.V. is supported in part by the American Heart Association (AHA) (AHA-22POST915561 and AHA-24POST1195524). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Footnotes
Reviewer disclosures
A reviewer on this manuscript has disclosed that they are a consultant for Kiniksa, Monte Rosa Therapeutics, and Novo Nordisk. Peer reviewers on this manuscript have no other relevant financial relationships or otherwise to disclose.
Declarations of interest
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
References
Papers of special note have been highlighted as either of interest (•) or of considerable interest (••) to readers.
- 1.Lam CS, Donal E, Kraigher-Krainer E, et al. Epidemiology and clinical course of heart failure with preserved ejection fraction. Eur J Heart Fail. 2011;13(1):18–28. doi: 10.1093/eurjhf/hfq121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Zouein FA, Lisandra E, Costa D, et al. Heart failure with preserved ejection fraction. J Cardiovasc Pharmacol. 2013;62(1):13–21. doi: 10.1097/FJC.0b013e31829a4e61 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ho JE, Redfield MM, Lewis GD, et al. Deliberating the diagnostic dilemma of heart failure with preserved ejection fraction. Circulation. 2020;142(18):1770–1780. doi: 10.1161/CIRCULATIONAHA.119.041818 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Shahid M, Ibrahim R, Olagunju A, et al. A contemporary review on heart failure with preserved ejection fraction: epidemiology, diagnosis, and management. Ccr. 2025;21(1). doi: 10.2174/011573403X318646240909072055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Su M, Hou Y, Cai S, et al. Elevated ITGA1 levels in type 2 diabetes: implications for cardiac function impairment. Diabetologia. 2024;67(5):850–863. doi: 10.1007/s00125-024-06109-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Oghina S, Bougouin W, Bezard M, et al. The impact of patients with cardiac amyloidosis in HFpEF trials. JACC Heart Fail. 2021. Mar;9(3):169–178. doi: 10.1016/j.jchf.2020.12.005 [DOI] [PubMed] [Google Scholar]
- 7.Santulli G. Cardiac sarcoidosis: updated insights on epidemiology and diagnostic criteria. Am J Cardiol. 2023. Oct 1;204:425–427. doi: 10.1016/j.amjcard.2023.07.123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Pande S, Varzideh F, Gambardella J, et al. Fabry disease cardiomyopathy: A state-of-the-art review. Prog Cardiovasc Dis. 2025. Sep-Oct;92:43–65. doi: 10.1016/j.pcad.2025.08.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Madan N, Kalra D. Clinical evaluation of infiltrative cardiomyopathies resulting in heart failure with preserved ejection fraction. Rev Cardiovasc Med. 2020. Jun 30;21(2):181–190. doi: 10.31083/j.rcm.2020.02.65 [DOI] [PubMed] [Google Scholar]
- 10.Fukuchi Y, Watanabe T, Utsumi A, et al. An autopsy case of constrictive pericarditis following open chest surgery with severe pulmonary hypertension treated as HFpEF. J Cardiol Cases. 2024. Nov;30(5):154–156. doi: 10.1016/j.jccase.2024.08.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bhasin A, Hughes ZH. Pathologic ventricular interdependence in constrictive pericarditis. J Gen Intern Med. 2023. May;38(7):1759–1760. doi: 10.1007/s11606-022-07979-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.de Avila DX, Villacorta H, de Andrade Martins W, et al. High-output cardiac failure: a forgotten phenotype in clinical practice. Curr Cardiol Rev. 2022;18(1):e050821195319. doi: 10.2174/1573403X17666210805142010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zhang S, Liu C, Zhang Y, et al. Different heart failure phenotypes of valvular heart disease: the role of mitochondrial dysfunction. Front Cardiovasc Med. 2023;10:1135938. doi: 10.3389/fcvm.2023.1135938 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Varzideh F, Forzano I, Farroni E, et al. Macrophages Regulate Inflammatory Vascular Remodeling in Pulmonary Hypertension. Hypertension. 2025. Mar;82(3):460–462. doi: 10.1161/HYPERTENSIONAHA.124.24309 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Fu Z, Liu P, Gao X, et al. Association of systemic inflammatory markers with clinical adverse prognosis and outcomes in HFpEF: a systematic review and meta-analysis of cohort studies. Front Cardiovasc Med. 2024;11:11. doi: 10.3389/fcvm.2024.1461073 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Sun F, Yuan L, Wang Z, et al. Cardiac sympathetic overdrive, M2 macrophage activation and fibroblast heterogeneity are associated with cardiac remodeling in a chronic pressure overload rat model of HFpEF. Front Pharmacol. 2024;15:15. doi: 10.3389/fphar.2024.1364758 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Mesquita T, Lin YN, Ibrahim A. Chronic low-grade inflammation in heart failure with preserved ejection fraction. Aging Cell. 2021;20(9). doi: 10.1111/acel.13453 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Weirather J, Hofmann UD, Beyersdorf N, et al. Foxp3+ CD4+ T cells improve healing after myocardial infarction by modulating mono-cyte/macrophage differentiation. Circ Res. 2014. Jun 20;115(1):55–67. [DOI] [PubMed] [Google Scholar]
- 19.Bai B, Cheng M, Jiang L, et al. High neutrophil to lymphocyte ratio and its gene signatures correlate with diastolic dysfunction in heart failure with preserved ejection fraction. Front Cardiovasc Med. 2021;8. doi: 10.3389/fcvm.2021.614757 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mone P, Ciccarelli M, Jankauskas SS, et al. Natural killer T cells link stress hyperglycemia to cognitive decline in HFpEF. Circ Res. 2025. May 23;136(11):1507–1509. doi: 10.1161/CIRCRESAHA.125.326315 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Peh ZH, Dihoum A, Hutton D, et al. Inflammation as a therapeutic target in heart failure with preserved ejection fraction. Front Cardiovasc Med. 2023;10:10. doi: 10.3389/fcvm.2023.1125687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Poledniczek M, Kronberger C, List L, et al. Leukocyte indices as markers of inflammation and predictors of outcome in heart failure with preserved ejection fraction. JCM. 2024;13(19):5875. doi: 10.3390/jcm13195875 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Buglione AE, Small DM, Rivera D, et al. Abstract P2095: capillary stalling by neutrophils is a novel mechanism underlying myocardial hypoperfusion in heart failure with preserved ejection fraction. Circ Res. 2023;133(Suppl_1). doi: 10.1161/res.133.suppl_1.P2095 [DOI] [Google Scholar]
- 24.Small DM, Buglione AE, Allan-Rahill NH, et al. Neutrophil arrest in myocardial capillaries drives hypoxia and impairs diastolic function in a mouse model of heart failure with preserved ejection fraction. 2025. [Google Scholar]
- 25.Zhang X, Wang T, Chen Z, et al. Hmgb1-promoted neutrophil extracellular traps contribute to cardiac diastolic dysfunction in mice. JAHA. 2022;11(4). doi: 10.1161/JAHA.121.023800 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Dumont BL, Neagoe P-É, Charles E, et al. Low density neutrophils and neutrophil extracellular traps (NETs) are new inflammatory players in heart failure. 2023. [DOI] [PubMed] [Google Scholar]
- 27.Kneuer JM, Müller M, Erbe S, et al. Circulating Immune Cell Signature Analysis in HFpEF Across Species. Circ Res. 2025;137(5):682–698. doi: 10.1161/CIRCRESAHA.125.326249 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Smolgovsky S, Bayer AL, Aronovitz M, et al. Experimental pressure overload induces a cardiac neoantigen specific humoral immune response. J Mol Cell Cardiol. 2025. Apr;201:87–93. doi: 10.1016/j.yjmcc.2025.02.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Riehle C, Bauersachs J. Key inflammatory mechanisms underlying heart failure. Herz. 2019;44(2):96–106. doi: 10.1007/s00059-019-4785-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Paulus WJ, Zile MR. From systemic inflammation to myocardial fibrosis. Circ Res. 2021;128(10):1451–1467. doi: 10.1161/CIRCRESAHA.121.318159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Jehangir Q, Qian C, Cohen JB, et al. Abstract 10273: proteomic analysis of chronic kidney disease (CKD) in heart failure with preserved ejection fraction (HFpEF). Circulation. 2022;146(Suppl_1). doi: 10.1161/circ.146.suppl_1.10273 [DOI] [Google Scholar]
- 32.Regan JA, Truby LK, Tahir UA, et al. Protein biomarkers of cardiac remodeling and inflammation associated with HFpEF and incident events. Sci Rep. 2022;12(1). doi: 10.1038/s41598-022-24226-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wienecke LM, Leid J, Leuschner F, et al. Imaging targets to visualize the cardiac immune landscape in heart failure. Circ: Cardiovasc Imag. 2023;16(1):e014071. doi: 10.1161/CIRCIMAGING.122.014071 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zhou R, Xia Y, Li Z, et al. HfpEF as systemic disease, insight from a diagnostic prediction model reminiscent of systemic inflammation and organ interaction in HFpEF patients. Sci Rep. 2024;14(1). doi: 10.1038/s41598-024-55996-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Martini E, Kunderfranco P, Peano C, et al. Single-cell sequencing of mouse Heart immune infiltrate in pressure overload-driven Heart failure reveals extent of immune activation. Circulation. 2019. Dec 17;140(25):2089–2107. doi: 10.1161/CIRCULATIONAHA.119.041694 [DOI] [PubMed] [Google Scholar]
- 36.Grune J, Bajpai G, Ocak PT, et al. Virus-induced acute respiratory distress syndrome causes cardiomyopathy through eliciting inflammatory responses in the heart. Circulation. 2024;150(1):49–61. doi: 10.1161/CIRCULATIONAHA.123.066433 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Panico C, Felicetta A, Kunderfranco P, et al. Single-cell RNA sequencing reveals metabolic stress-dependent activation of cardiac macrophages in a model of dyslipidemia-induced diastolic dysfunction. Circulation. 2023;150(19):1517–1532. doi: 10.1161/CIRCULATIONAHA.122.062984 [DOI] [PubMed] [Google Scholar]; Important paper determining the role of cardiac macrophages in HFpEF.
- 38.Hulsmans M, Sager HB, Roh JD, et al. Cardiac macrophages promote diastolic dysfunction. J Exp Med. 2018;215(2):423–440. doi: 10.1084/jem.20171274 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Zhang N, Ma Q, You Y, et al. Cxcr4-dependent macrophage-to-fibroblast signaling contributes to cardiac diastolic dysfunction in heart failure with preserved ejection fraction. Int J Biol Sci. 2022;18(3):1271–1287. doi: 10.7150/ijbs.65802 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Araos P, Figueroa SM, Arenas G, et al. Abstract P119: the heart failure with preserved ejection fraction induced by high-fat diet and L-NAME in mice does not induce a renal damage. Hypertension. 2024;81(Suppl_1):AP119–AP119. doi: 10.1161/hyp.81.suppl_1.P119 [DOI] [Google Scholar]
- 41.Troy A, Normukhamedova D, Grothe D, et al. Impact of ovary-intact menopause in a mouse model of heart failure with preserved ejection fraction. Ajp Heart Circulatory Physiol. 2024;326(3):H522–H537. doi: 10.1152/ajpheart.00733.2023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Agrawal V, Kropski JA, Gokey JJ, et al. Myeloid cell derived IL1β contributes to pulmonary hypertension in HFpEF. Circ Res. 2023;133(11):885–898. doi: 10.1161/CIRCRESAHA.123.323119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Filipp M, Ge Z-D, DeBerge M, et al. Myeloid fatty acid metabolism activates neighboring hematopoietic stem cells to promote heart failure with preserved ejection fraction. Circulation. 2025;151 (20):1451–1466. doi: 10.1161/CIRCULATIONAHA.124.070248 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Zhang W, Zhu B, Ding S, et al. Disruption of STAT6 signal promotes cardiac fibrosis through the mobilization and transformation of CD11b+ immature myeloid cells. Front Physiol. 2020;11:11. doi: 10.3389/fphys.2020.579712 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Santulli G Bigger heart, heavier load: the physiology of obese HFpEF. Am J Physiol Heart Circ Physiol. 2025. Nov 1;329(5):H1358–H1360. doi: 10.1152/ajpheart.00791.2025 [DOI] [PubMed] [Google Scholar]
- 46.Krystel-Whittemore M, Dileepan KN, Wood JG. Mast cell: a multi-functional master cell. Front Immunol. 2015;6:620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Reid AC, Brazin JA, Morrey C, et al. Targeting cardiac mast cells: pharmacological modulation of the local renin-angiotensin system. Curr Pharm Des. 2011. Nov;17(34):3744–3752. doi: 10.2174/138161211798357908 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Kunder CA, St John AL, Abraham SN. Mast cell modulation of the vascular and lymphatic endothelium. Blood. 2011. Nov 17;118(20):5383–5393. doi: 10.1182/blood-2011-07-358432 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Froogh G, Pinto JT, Le Y, et al. Chymase-dependent production of angiotensin II: an old enzyme in old hearts. Am J Physiol Heart Circ Physiol. 2017. Feb 1;312(2):H223–H231. doi: 10.1152/ajpheart.00534.2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Artuc M, Steckelings UM, Henz BM. Mast cell-fibroblast interactions: human mast cells as source and inducers of fibroblast and epithelial growth factors. J Invest Dermatol. 2002. Mar;118(3):391–395. [DOI] [PubMed] [Google Scholar]
- 51.Trautmann A, Krohne G, Brocker EB, et al. Human mast cells augment fibroblast proliferation by heterotypic cell-cell adhesion and action of IL-4. J Immunol. 1998. May 15;160(10):5053–5057. [PubMed] [Google Scholar]
- 52.Dona MSI, Hsu I, Meuth AI, et al. Multi-omic analysis of the cardiac cellulome defines a vascular contribution to cardiac diastolic dysfunction in obese female mice. Basic Res Cardiol. 2023. Mar 29;118(1):11. doi: 10.1007/s00395-023-00983-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Guimbal S, Cornuault L, Rouault P, et al. Mast cells are the trigger of small vessel disease and diastolic dysfunction in diabetic obese mice. ATVB. 2021. Apr;41(4):e193–e207. doi: 10.1161/ATVBAHA.121.315900 [DOI] [PubMed] [Google Scholar]
- 54.Wang H, da Silva J, Alencar A, et al. Mast cell inhibition attenuates cardiac remodeling and diastolic dysfunction in middle-aged, ovariectomized Fischer 344 x Brown Norway rats. J Cardiovasc Pharmacol. 2016. Jul;68(1):49–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Janicki JS, Brower GL, Levick SP. The emerging prominence of the cardiac mast cell as a potent mediator of adverse myocardial remodeling. Methods Mol Biol. 2015;1220:121–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Chen H, Tešić M, Nikolić V, et al. Systemic biomarkers and unique pathways in different phenotypes of heart failure with preserved ejection fraction. Biomolecules. 2022;12(10):1419. doi: 10.3390/biom12101419 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Yang H, Kong B, Shuai W, et al. Knockout of MD1 contributes to sympathetic hyperactivity and exacerbates ventricular arrhythmias following heart failure with preserved ejection fraction via NLRP3 inflammasome activation. Exp Physiol. 2020;105(6):966–978. doi: 10.1113/EP088390 [DOI] [PubMed] [Google Scholar]
- 58.Schauer A, Adams V, Kämmerer S, et al. Empagliflozin improves diastolic function in HFpEF by restabilizing the mitochondrial respiratory chain. Circ: Heart Fail. 2024;17(6). doi: 10.1161/CIRCHEARTFAILURE.123.011107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Mone P, Lombardi A, Kansakar U, et al. Empagliflozin Improves the MicroRNA Signature of Endothelial Dysfunction in Patients with Heart Failure with Preserved Ejection Fraction and Diabetes. J Pharmacol Exp Ther. 2023. Jan;384(1):116–122. doi: 10.1124/jpet.121.001251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Daou D, Gillette TG, Hill JA. Inflammatory mechanisms in heart failure with preserved ejection fraction. Physiol (bethesda). 2023. Sep 1;38(5):0. doi: 10.1152/physiol.00004.2023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Li C, Qin D, Hu J, et al. Inflamed adipose tissue: a culprit underlying obesity and heart failure with preserved ejection fraction. Front Immunol. 2022;13. doi: 10.3389/fimmu.2022.947147 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Siggins C, Pan JA, Löffler A, et al. Cardiometabolic biomarker patterns associated with cardiac MRI defined fibrosis and microvascular dysfunction in patients with heart failure with preserved ejection fraction. Front Cardiovasc Med. 2024;11:11. doi: 10.3389/fcvm.2024.1334226 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.•.Takvorian KS, Wang D, Courchesne P, et al. The association of protein biomarkers with incident heart failure with preserved and reduced ejection fraction. Circ Heart Fail. 2023;16(1). doi: 10.1161/CIRCHEARTFAILURE.121.009446 [DOI] [PMC free article] [PubMed] [Google Scholar]; Identification of protein biomarkers of new-onset HFpEF representing pathways of inflammation, cardiac stress, and vascular stiffness.
- 64.Piatek K, Feuerstein A, Zach V, et al. Nitric oxide metabolites: associations with cardiovascular biomarkers and clinical parameters in patients with HFpEF. ESC Heart Fail. 2022;9(6):3961–3972. doi: 10.1002/ehf2.14116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Campos-Martins A, Bragança B, Correia-de-Sá P, et al. Pharmacological tuning of adenosine signal nuances underlying heart failure with preserved ejection fraction. Front Pharmacol. 2021;12:12. doi: 10.3389/fphar.2021.724320 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Szabo TM, Frigy A, Nagy E. Targeting mediators of inflammation in heart failure: a short synthesis of experimental and clinical results. IJMS. 2021;22(23):13053. doi: 10.3390/ijms222313053 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Amrute JM, Luo X, Penna V, et al. Targeting immune-fibroblast cell communication in heart failure. Nature. 2024. Nov;635 (8038):423–433. doi: 10.1038/s41586-024-08008-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Simats A, Zhang S, Messerer D, et al. Innate immune memory after brain injury drives inflammatory cardiac dysfunction. Cell. 2024. Aug 22;187(17):4637–4655.e26. [DOI] [PubMed] [Google Scholar]
- 69.Olsen MB, Gregersen I, Sandanger Ø, et al. Targeting the inflammasome in cardiovascular disease. JACC Basic Transl Sci. 2021. Nov 3;7 (1):84–98. doi: 10.1016/j.jacbts.2021.08.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Elsanhoury A, Nelki V, Kelle S, et al. Epicardial fat expansion in diabetic and obese patients with heart failure and preserved ejection fraction—a specific HFpEF phenotype. Front Cardiovasc Med. 2021;8. doi: 10.3389/fcvm.2021.720690 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Gao Q, He S, Peng Y, et al. Proteomic profiling of epicardial fat in heart failure with preserved versus reduced and mildly reduced ejection fraction. J Cell Mol Medi. 2023;27(5):727–735. doi: 10.1111/jcmm.17695 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Bayés-Genís A, Bisbal F, Núñez J, et al. Transitioning from preclinical to clinical heart failure with preserved ejection fraction: a mechanistic approach. JCM. 2020;9(4):1110. doi: 10.3390/jcm9041110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Panichella G, Tomasoni D, Aimo A. Dissecting the heart failure phenotype through phenomics. Eur J Heart Fail. 2024;26 (4):851–853. doi: 10.1002/ejhf.3204 [DOI] [PubMed] [Google Scholar]
- 74.Hage C, Michaëlsson E, Kull B, et al. Myeloperoxidase and related biomarkers are suggestive footprints of endothelial microvascular inflammation in HFpEF patients. ESC Heart Fail. 2020;7(4):1534–1546. doi: 10.1002/ehf2.12700 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Elkholey K, Niewiadomska M, Morris L, et al. Transcutaneous vagus nerve stimulation ameliorates the phenotype of heart failure with preserved ejection fraction through its anti-inflammatory effects. Circ: Heart Fail. 2022;15(8). doi: 10.1161/CIRCHEARTFAILURE.122.009288 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Sawicki KT, Nannini D, Bielinski SJ, et al. Secretory leukocyte protease inhibitor and risk of heart failure in the Multi-Ethnic Study of Atherosclerosis. Sci Rep. 2023;13(1). doi: 10.1038/s41598-023-27679-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Jirak P, Pistulli R, Lichtenauer M, et al. Expression of the novel cardiac biomarkers sST2, GDF-15, suPAR, and H-FABP in HFpEF patients compared to ICM, DCM, and controls. JCM. 2020;9(4):1130. doi: 10.3390/jcm9041130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Joslin J, Lioudaki E, Androulakis E. Interrelation between heart failure with preserved ejection fraction and renal impairment. Rev Cardiovasc Med. 2022;23(2). doi: 10.31083/j.rcm2302069 [DOI] [PubMed] [Google Scholar]
- 79.Fonseka O, Raja R, Ross C, et al. XBP1s-EDEM2 prevents the onset and development of HFpEF by ameliorating cardiac lipotoxicity. Circulation. 2025. Mar 25;151(22):1583–1605. doi: 10.1161/CIRCULATIONAHA.124.072194 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Costantino S, Mohammed SA, Ambrosini S, et al. Chromatin rewiring by SETD2 drives lipotoxic injury in cardiometabolic HFpEF. Circ Res. 2025. Apr 11;136(10):1079–1095. doi: 10.1161/CIRCRESAHA.124.325310 [DOI] [PubMed] [Google Scholar]
- 81.Wang R, Wu J, Ye H, et al. Application value of systemic inflammatory indexes in the clinical evaluation of patients with heart failure with preserved ejection fraction (HFpEF). Medicina (B Aires). 2022;58(10):1473. doi: 10.3390/medicina58101473 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Lund LH, Lam CS, Pizzato PE, et al. Rationale and design of endeavor: a sequential phase 2b–3 randomized clinical trial to evaluate the effect of myeloperoxidase inhibition on symptoms and exercise capacity in heart failure with preserved or mildly reduced ejection fraction. Eur J Heart Fail. 2023;25(9):1696–1707. doi: 10.1002/ejhf.2977 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Michaelsson E, Lund LH, Hage C, et al. Myeloperoxidase inhibition reverses biomarker profiles associated with clinical outcomes in HFpEF. JACC Heart Fail. 2023. Jul;11(7):775–787. doi: 10.1016/j.jchf.2023.03.002 [DOI] [PubMed] [Google Scholar]
- 84.Alogna A, Koepp KE, Sabbah M, et al. Interleukin-6 in patients with heart failure and preserved ejection fraction. JACC Heart Fail. 2023. Nov;11(11):1549–1561. doi: 10.1016/j.jchf.2023.06.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Golino M, Moroni F, Carbone S, et al. Differential response to interleukin-1 blockade with anakinra on cardiorespiratory fitness in patients with heart failure with preserved ejection fraction stratified according to left ventricular ejection fraction. J Am Heart Assoc. 2023. Sep 19;12(18):e031251. doi: 10.1161/JAHA.123.031251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Liu H, Huang Y, Zhao Y, et al. Inflammatory macrophage interleukin-1beta mediates high-fat diet-induced heart failure with preserved ejection fraction. JACC Basic Transl Sci. 2023. Feb;8(2):174–185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Weerts J, Mourmans SG, Aizpurua AB, et al. The role of systemic microvascular dysfunction in heart failure with preserved ejection fraction. Biomolecules. 2022;12(2):278. doi: 10.3390/biom12020278 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Basha A, Stavropoulou E, Nikolaidou A, et al. Diagnosing heart failure with preserved ejection fraction in obese patients. JCM. 2025;14(6):1980. doi: 10.3390/jcm14061980 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Teuber JP, Essandoh K, Hummel SL, et al. NADPH oxidases in diastolic dysfunction and heart failure with preserved ejection fraction. Antioxidants. 2022;11(9):1822. doi: 10.3390/antiox11091822 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Bode D, Wen Y, Hegemann N, et al. Oxidative stress and inflammatory modulation of Ca2+ handling in metabolic HFpEF-related left atrial cardiomyopathy. Antioxidants. 2020;9(9):860. doi: 10.3390/antiox9090860 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Zhu Z, Zhou S. Leukocyte count and the risk of adverse outcomes in patients with HFpEF. BMC Cardiovasc Disord. 2021;21(1). doi: 10.1186/s12872-021-02142-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Jankauskas SS, Mone P, Avvisato R, et al. miR-181c targets Parkin and SMAD7 in human cardiac fibroblasts: validation of differential microRNA expression in patients with diabetes and heart failure with preserved ejection fraction. Mech Ageing Dev. 2023. Jun;212:111818. doi: 10.1016/j.mad.2023.111818 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Thibodeau S-È, Labbé E-A, Walsh-Wilkinson É, et al. Plasma and myocardial miRnomes similarities and differences during cardiac remodelling and reverse remodelling in a murine model of heart failure with preserved ejection fraction. Biomolecules. 2024;14(8):892. doi: 10.3390/biom14080892 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Garg A, Virmani D, Agrawal S, et al. Clinical application of biomarkers in heart failure with a preserved ejection fraction: a review. Cardiology. 2016;136(3):192–203. doi: 10.1159/000450573 [DOI] [PubMed] [Google Scholar]
- 95.Bonanni A, Vinci R, D’Aiello A, et al. Targeting collagen pathways as an HFpEF therapeutic strategy. JCM. 2023;12(18):5862. doi: 10.3390/jcm12185862 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Upadhya B, Pisani B, Kitzman DW. Evolution of a geriatric syndrome: pathophysiology and treatment of heart failure with preserved ejection fraction. J Am Geriatrics Soc. 2017;65 (11):2431–2440. doi: 10.1111/jgs.15141 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Parvan R, Becker V, Hosseinpour M, et al. Prognostic and predictive microRNA panels for heart failure patients with reduced or preserved ejection fraction: a meta-analysis of Kaplan-Meier-based individual patient data. BMC Med. 2025. Jul 7;23(1):409. doi: 10.1186/s12916-025-04238-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Verma R, Dhingra NK, Connelly KA. Obesity/cardiometabolic phenotype of heart failure with preserved ejection fraction: mechanisms to recent trials. Curr Opin Cardiol. 2024;39(2):92–97. doi: 10.1097/HCO.0000000000001113 [DOI] [PubMed] [Google Scholar]
- 99.Rao VN, Fudim M, Mentz RJ, et al. Regional adiposity and heart failure with preserved ejection fraction. Eur J Heart Fail. 2020;22(9):1540–1550. doi: 10.1002/ejhf.1956 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Santulli G, Bencivenga L, Rengo G, et al. Integrating epicardial fat and heart rate recovery in adults with metabolic risk factors. Eur J Prev Cardiol. 2025. Feb 18;32(3):266–268. doi: 10.1093/eurjpc/zwae380 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Gevaert AB, Shakeri H, Leloup A, et al. Endothelial senescence contributes to heart failure with preserved ejection fraction in an aging mouse model. Circ: Heart Fail. 2017;10(6). doi: 10.1161/CIRCHEARTFAILURE.116.003806 [DOI] [PubMed] [Google Scholar]
- 102.Maaten J, Damman K, Verhaar MC, et al. Connecting heart failure with preserved ejection fraction and renal dysfunction: the role of endothelial dysfunction and inflammation. Eur J Heart Fail. 2016;18(6):588–598. doi: 10.1002/ejhf.497 [DOI] [PubMed] [Google Scholar]
- 103.Pecherina TB, Kutikhin AG, Кашталап BB, et al. Serum and echocardiographic markers may synergistically predict adverse cardiac remodeling after ST-segment elevation myocardial infarction in patients with preserved ejection fraction. Diagnostics. 2020;10(5):301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Clemmer JS, Pruett WA. Modeling the physiological roles of the heart and kidney in heart failure with preserved ejection fraction during baroreflex activation therapy. Am J Physiol Heart Circ Physiol. 2022. Sep 1;323(3):H597–H607. doi: 10.1152/ajpheart.00329.2022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Liu M, Fang F, Yu CM. Noncardiac comorbidities in heart failure with preserved ejection fraction– a commonly ignored fact –. Circ J. 2015;79(5):954–959. doi: 10.1253/circj.CJ-15-0056 [DOI] [PubMed] [Google Scholar]
- 106.Orimoloye OA, Kambhampati S, Hicks A, et al. Higher cardiorespiratory fitness predicts long-term survival in patients with heart failure and preserved ejection fraction: the Henry Ford exercise testing (FIT) project. Aoms. 2019;15(2):350–358. doi: 10.5114/aoms.2019.83290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Zakeri R, Cowie M. Heart failure with preserved ejection fraction: controversies, challenges and future directions. Heart. 2018;104 (5):377–384. doi: 10.1136/heartjnl-2016-310790 [DOI] [PubMed] [Google Scholar]
- 108.Van Tassell BW, Arena R, Biondi-Zoccai G, et al. Effects of interleukin-1 blockade with anakinra on aerobic exercise capacity in patients with heart failure and preserved ejection fraction (from the D-HART pilot study). Am J Cardiol. 2014. Jan 15;113(2):321–327. doi: 10.1016/j.amjcard.2013.08.047 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Van Tassell BW, Trankle CR, Canada JM, et al. Il-1 blockade in patients with heart failure with preserved ejection fraction. Circ Heart Fail. 2018. Aug;11(8):e005036. doi: 10.1161/CIRCHEARTFAILURE.118.005036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Ridker PM, MacFadyen JG, Everett BM, et al. Relationship of C-reactive protein reduction to cardiovascular event reduction following treatment with canakinumab: a secondary analysis from the CANTOS randomised controlled trial. Lancet. 2018. Jan 27;391(10118):319–328. doi: 10.1016/S0140-6736(17)32814-3 [DOI] [PubMed] [Google Scholar]
- 111.Everett BM, Cornel JH, Lainscak M, et al. Anti-inflammatory therapy with canakinumab for the prevention of hospitalization for heart failure. Circulation. 2019. Mar 5;139(10):1289–1299. doi: 10.1161/CIRCULATIONAHA.118.038010 [DOI] [PubMed] [Google Scholar]
- 112.Sobirin MA, Herry Y, Sofia SN, et al. Effects of coenzyme Q10 supplementation on diastolic function in patients with heart failure with preserved ejection fraction. DD T. 2019;13(1):38–46. doi: 10.5582/ddt.2019.01004 [DOI] [PubMed] [Google Scholar]
- 113.Shchendrygina A, Rachina S, Cherkasova N, et al. Colchicine in patients with heart failure and preserved left ventricular ejection fraction: rationale and design of a prospective, randomised, open-label, crossover clinical trial. Open Heart. 2023. Aug;10(2):e002360. doi: 10.1136/openhrt-2023-002360 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Mone P, Lombardi A, Gambardella J, et al. Empagliflozin Improves Cognitive Impairment in Frail Older Adults With Type 2 Diabetes and Heart Failure With Preserved Ejection Fraction. Diabetes Care. 2022. May 1;45(5). 1247–1251. doi: 10.2337/dc21-2434 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.••.Anker SD, Butler J, Filippatos G, et al. Empagliflozin in heart failure with a preserved ejection fraction. N Engl J Med. 2021. Oct 14;385(16):1451–1461. doi: 10.1056/NEJMoa2107038 [DOI] [PubMed] [Google Scholar]; Seminal trial determining the beneficial effects of empagliflozin in HFpEF.
- 116.Rykova EY, Klimontov VV, Shmakova E, et al. Anti-inflammatory effects of SGLT2 inhibitors: focus on macrophages. Int J Mol Sci. 2025. Feb 15;26(4):1670. doi: 10.3390/ijms26041670 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Varzideh F, Kansakar U, Wilson S, et al. The SGLT2 inhibitor canagliflozin attenuates mitochondrial oxidative stress and alterations of calcium handling induced by high glucose in human cardiac fibroblasts. Cell Cycle. 2024. Nov;23(21–24):923–930. doi: 10.1080/15384101.2025.2492423 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Baccouche BM, Rhodenhiser E. Galectin-3 and HFpEF: clarifying an emerging relationship. Curr Cardiol Rev. 2023;19(5):19–26. doi: 10.2174/1573403X19666230320165821 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Shi Y, Zhao L, Wang J, et al. Empagliflozin protects against heart failure with preserved ejection fraction partly by inhibiting the senescence-associated STAT1-STING axis. Cardiovasc Diabetol. 2024. Jul 23;23(1):269. doi: 10.1186/s12933-024-02366-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.•.Armstrong PW, Lam CSP, Anstrom KJ, et al. Effect of vericiguat vs placebo on quality of life in patients with heart failure and preserved ejection fraction: the VITALITY-HFpEF randomized clinical trial. Jama. 2020. Oct 20;324(15):1512–1521. doi: 10.1001/jama.2020.15922 [DOI] [PMC free article] [PubMed] [Google Scholar]; Trial showing that vericiguat may not be an effective treatment for improving quality of life in patients with HFpEF, despite its potential benefits in patients with HFrEF.
- 121.Rolski F, Blyszczuk P. Complexity of TNF-alpha signaling in heart disease. J Clin Med. 2020. Oct 12;9(10):3267. doi: 10.3390/jcm9103267 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Krum H Tumor necrosis factor-alpha blockade as a therapeutic strategy in heart failure (RENEWAL and ATTACH): unsuccessful, to be specific. J Card Fail. 2002. Dec;8(6):365–368. [DOI] [PubMed] [Google Scholar]
- 123.Bhardwaj A, Parikh V, Nair A. Transcatheter interatrial shunts for the treatment of heart failure with preserved ejection fraction. Int J Cardiovasc Sci. 2021;34(1):81–88. doi: 10.36660/ijcs.20200236 [DOI] [Google Scholar]
- 124.Feldman T, Komtebedde J, Burkhoff D, et al. Transcatheter interatrial shunt device for the treatment of heart failure. Circ: Heart Fail. 2016;9(7). doi: 10.1161/CIRCHEARTFAILURE.116.003025 [DOI] [PubMed] [Google Scholar]
- 125.Flint KM, Shah SJ, Lewis EF, et al. Variation in clinical and patient-reported outcomes among complex heart failure with preserved ejection fraction phenotypes. ESC Heart Fail. 2020;7(3):811–824. doi: 10.1002/ehf2.12660 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Ye M, Liu X, Gu Z, et al. A simple ATTR-CM score to identify transthyretin amyloid cardiomyopathy burden in HFpEF patients. Eur J Clin Investigation. 2023;53(11). doi: 10.1111/eci.14045 [DOI] [PubMed] [Google Scholar]
- 127.Miñana G, Núñez J. Heart failure with preserved ejection fraction: an urgent need for precision medicine. JCM. 2021;10(9):1801. doi: 10.3390/jcm10091801 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Peters A, Nguyen M, Green JB, et al. Proteomic pathways across ejection fraction spectrum in heart failure: an EXSCEL substudy. 2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Zhou R, Xia Y, Li Z, et al. Development and validation of a diagnostic prediction model reminiscent of systemic inflammation and organ interaction in heart failure preserved ejection fraction (HFpEF) patients. 2022. [Google Scholar]
- 130.Hage C, Lund LH. Sodium–glucose cotransporter 2 inhibitors in heart failure with preserved ejection fraction and chronic obstructive pulmonary disease — no heterogeneity. Eur J Heart Fail. 2023;25(11):2091–2092. doi: 10.1002/ejhf.3041 [DOI] [PubMed] [Google Scholar]
- 131.Liu F, Chen Y, Feng X, et al. Effects of beta-blockers on heart failure with preserved ejection fraction: a meta-analysis. PLOS ONE. 2014;9(3):e90555. doi: 10.1371/journal.pone.0090555 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Parwani AS, Kaab S, Friede T, et al. Catheter-based ablation to improve outcomes in patients with atrial fibrillation and heart failure with preserved ejection fraction: rationale and design of the CABA-HFPEF-DZHK27 trial. Eur J Heart Fail. 2024. Oct;26(10):2203–2212. doi: 10.1002/ejhf.3373 [DOI] [PubMed] [Google Scholar]
- 133.Forsyth F, Brimicombe J, Cheriyan J, et al. Characteristics of patients with heart failure with preserved ejection fraction in primary care: a cross-sectional analysis. BJGP Open. 2021;5(6):BJGPO.2021.0094. doi: 10.3399/BJGPO.2021.0094 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.•.Pandey A, Golwala H, Sheng S, et al. Factors associated with and prognostic implications of cardiac troponin elevation in decompensated heart failure with preserved ejection fraction. JAMA Cardiol. 2017;2(2):136. doi: 10.1001/jamacardio.2016.4726 [DOI] [PubMed] [Google Scholar]; Clinical study demonstrating that elevated cardiac troponin levels in patients with decompensated HFpEF are associated with worse in-hospital and post-discharge outcomes, independent of other predictive variables.
- 135.Kittipibul V, Fudim M. Tackling inflammation in heart failure with preserved ejection fraction: resurrection of vagus nerve stimulation? J Am Heart Assoc. 2022. Feb;11(3):e024481. doi: 10.1161/JAHA.121.024481 [DOI] [PMC free article] [PubMed] [Google Scholar]
