Pathophysiology Of Heart Failure Research Articles

Natriuretic Peptides and Need for Reliable Tool to Assess Pulmonary Congestion for Treatment Monitoring in Heart Failure.

Natriuretic peptides (NPs) play a significant role in the pathophysiology of heart failure (HF) and are considered reliable diagnostic and prognostic indicators of congestive HF. Pulmonary congestion in HF patients leads to clinical deterioration and hospitalizations. It remains an important aspect to address the management and treatment tailoring in HF patients. However, the role of NP-guided therapy remains debatable due to contrasting reports in the literature. Current guidelines do not recommend the use of NP-guided therapy in the treatment monitoring of HF. Therefore, there is an urgent need to identify reliable markers for treatment monitoring in congestive HF. For early detection of congestion, a technology-based approach to monitor pulmonary hemodynamics and absolute lung fluid measurement is found to be effective in guiding treatment. Remote dielectric sensing technology is one such non-invasive approach that measures pulmonary fluid levels in the lungs which results in reduced hospitalization and re-admission rate in HF patients. In this review, we summarized the role of natriuretic peptides and the need for a reliable tool to assess pulmonary congestion for treatment monitoring in HF.

Pathophysiological insights into machine learning-based subphenotypes of acute heart failure with preserved ejection fraction

ObjectiveThe heterogeneous pathophysiology of the diverse heart failure with preserved ejection fraction (HFpEF) phenotypes needs to be examined. We aim to assess differences in the biomarkers among the phenotypes of...

The Clinical Utility of Noninvasive Forrester Classification in Acute Heart Failure from PREDICT Study

The Forrester classification plays a crucial role in comprehending the underlying pathophysiology of heart failure (HF) and is employed to categorize the severity and predict the outcomes of patients with acute HF. Our objective was to assess the predictive value of the Forrester classification, based on noninvasive hemodynamic measurements obtained through Doppler echocardiography at admission, in forecasting the short-term prognosis posthospitalization of patients with acute HF. Patients were recruited for the Prospect trial to elucidate the utility of EchocarDIography-based Cardiac ouTput in acute heart failure (PREDICT) study, a multicenter, prospective study conducted in Japan. Participants were stratified into 4 profiles using cardiac index (CI) and early mitral filling velocity (E)/early-diastolic mitral annular velocity (e') ratio obtained from Doppler echocardiography upon admission (profile I: CI >2.2, E/e' ≤15, profile II: CI >2.2, E/e' >15, profile III: CI ≤2.2, E/e' ≤15, profile IV: CI ≤2.2, E/e' >15). The primary composite outcome of the study was all-cause mortality or worsening HF during the 14days of hospitalization. Cox proportional hazards model analysis was employed to identify prognostic factors during the observation period. A total of 270 subjects, with a mean age of 74±14years and a male proportion of 60%, were enrolled in the study. During the 14-day period of hospitalization, 58 participants (22%) had a composite outcome. Patients with low CI (i.e., profiles III and IV) demonstrated an elevated risk of composite outcome after adjusting for confounding variables, as evidenced by the adjusted hazard ratios of 5.85 (95% confidence interval 1.17 to 29.09, p<0.01, vs profile III) and 6.50 (95% confidence interval 1.53 to 27.68, p<0.01, vs profile IV) in comparison with profile I, respectively. In conclusion, the Forrester classification, derived from noninvasive Doppler echocardiography at admission, may predict early deterioration in patients hospitalized with acute HF.

Acausal Modelling of Advanced-Stage Heart Failure and the Istanbul Heart Ventricular Assist Device Support with Patient Data.

In object-oriented or acausal modelling, components of the model can be connected topologically, following the inherent structure of the physical system, and system equations can be formulated automatically. This technique allows individuals without a mathematics background to develop knowledge-based models and facilitates collaboration in multidisciplinary fields like biomedical engineering. This study conducts a preclinical evaluation of a ventricular assist device (VAD) in assisting advanced-stage heart failure patients in an acausal modelling environment. A comprehensive object-oriented model of the cardiovascular system with a VAD is developed in MATLAB/SIMSCAPE, and its hemodynamic behaviour is studied. An analytically derived pump model is calibrated for the experimental prototype of the Istanbul Heart VAD. Hemodynamics are produced under healthy, diseased, and assisted conditions. The study features a comprehensive collection of advanced-stage heart failure patients' data from the literature to identify parameters for disease modelling and tovalidate the resulting hemodynamics. Regurgitation, suction, and optimal speeds are identified, and trends in different hemodynamic parameters are observed for the simulated pathophysiological conditions. Using pertinent parameters in disease modelling allows for more accurate results compared to the traditional approach of arbitrary reduction in left ventricular contractility to model dilated cardiomyopathy. The current research provides a comprehensive and validated framework for the preclinical evaluation of cardiac assist devices. Due to its object-oriented nature, the featured model is readily modifiable for other cardiovascular diseases for studying the effect of pump operating conditions on hemodynamics and vice versa in silico and hybrid mock circulatory loops. The work also provides a potential teaching tool for understanding the pathophysiology of heart failure, diagnosis rationale, and degree of assist requirements.

Immunomodulation and immunopharmacology in heart failure.

The immune system is intimately involved in the pathophysiology of heart failure. However, it is currently underused as a therapeutic target in the clinical setting. Moreover, the development of novel immunomodulatory therapies and their investigation for the treatment of patients with heart failure are hampered by the fact that currently used, evidence-based treatments for heart failure exert multiple immunomodulatory effects. In this Review, we discuss current knowledge on how evidence-based treatments for heart failure affect the immune system in addition to their primary mechanism of action, both to inform practising physicians about these pleiotropic actions and to create a framework for the development and application of future immunomodulatory therapies. We also delineate which subpopulations of patients with heart failure might benefit from immunomodulatory treatments. Furthermore, we summarize completed and ongoing clinical trials that assess immunomodulatory treatments in heart failure and present several therapeutic targets that could be investigated in the future. Lastly, we provide future directions to leverage the immunomodulatory potential of existing treatments and to foster the investigation of novel immunomodulatory therapeutics.

Artificial intelligence and heart failure: Astate-of-the-art review.

Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals globally. Despite recent advancements in understanding of the pathophysiology of HF, many issues remain including residual risk despite therapy, understanding the pathophysiology and phenotypes of patients with HF and preserved ejection fraction, and the challenges related to integrating a large amount of disparate information available for risk stratification and management of these patients. Risk prediction algorithms based on artificial intelligence (AI) may have superior predictive ability compared to traditional methods in certain instances. AI algorithms can play a pivotal role in the evolution of HF care by facilitating clinical decision making to overcome various challenges such as allocation of treatment to patients who are at highest risk or are more likely to benefit from therapies, prediction of adverse outcomes, and early identification of patients with subclinical disease or worsening HF. With the ability to integrate and synthesize large amounts of data with multidimensional interactions, AI algorithms can supply information with which physicians can improve their ability to make timely and better decisions. In this review, we provide an overview of the AI algorithms that have been developed for establishing early diagnosis of HF, phenotyping HF with preserved ejection fraction, and stratifying HF disease severity. This review also discusses the challenges in clinical deployment of AI algorithms in HF, and the potential path forward for developing future novel learning-based algorithms to improve HF care.

Differentiating the Prognostic Determinants of Myocardial Steatosis for Heart Failure With Preserved Ejection Fraction by Cardiac Magnetic Resonance Imaging.

Background Myocardial steatosis and fibrosis may play a role in the pathophysiology of heart failure with preserved ejection fraction. We therefore investigated the prognostic significance of epicardial fat (epicardial adipose tissue [EAT]) and myocardial diffuse fibrosis. Methods and Results Myocardial fibrosis, estimated as extracellular volume (ECV), and EAT were measured using cardiac magnetic resonance imaging in 163 subjects with heart failure with preserved ejection fraction. We also evaluated cardiac structure and diastolic and systolic function by echocardiography and cardiac magnetic resonance imaging. After 24 months' follow-up, 39 (24%) subjects had experienced cardiovascular events, including hospitalization for heart failure, acute coronary syndrome, and cardiovascular death. Median EAT and mean ECV were significantly higher in subjects with cardiovascular events thansurvivors (EAT, 35 [25-45] versus 31 [21-38], P=0.006 and ECV, 28.9±3.16% versus 27.2±3.56%, P=0.04). Subjects with high EAT (≥42 g) had increased risk of cardiovascular events (hazard ratio [HR], 2.528 [95% CI, 1.704-4.981]; P=0.032). High ECV (>29%) was also significantly associated with poorer outcomes (HR, 1.647 [95% CI, 1.263-2.548]; P=0.013). With respect to secondary end points, high EAT and high ECV were associated with increased risk of the incident acute coronary syndrome (HR, 1.982 [95% CI, 1.008-4.123]; P=0.049) and hospitalization for heart failure (HR, 1.789 [95% CI, 1.102-6.987]; P=0.033), respectively. Conclusions Our study suggested that increased epicardial fat and ECV detected by cardiac magnetic resonance imaging have an impact on cardiovascular prognosis, in particular acute coronary syndrome and hospitalization for heart failure, respectively.

The Role of Galectin-3 in Heart Failure-The Diagnostic, Prognostic and Therapeutic Potential-Where Do We Stand?

Heart failure (HF) is a clinical syndrome with high morbidity and mortality, and its prevalence is rapidly increasing. Galectin-3 (Gal-3) is an important factor in the pathophysiology of HF, mainly due to its role in cardiac fibrosis, inflammation, and ventricular remodeling. Fibrosis is a hallmark of cardiac remodeling, HF, and atrial fibrillation development. This review aims to explore the involvement of Gal-3 in HF and its role in the pathogenesis and clinical diagnostic and prognostic significance. We report data on Gal-3 structure and molecular mechanisms of biological function crucial for HF development. Over the last decade, numerous studies have shown an association between echocardiographic and CMR biomarkers in HF and Gal-3 serum concentration. We discuss facts and concerns about Gal-3's utility in acute and chronic HF with preserved and reduced ejection fraction for diagnosis, prognosis, and risk stratification. Finally, we present attempts to use Gal-3 as a therapeutic target in HF.

Imaging characterization of myocardial function, fibrosis, and perfusion in a nonhuman primate model with heart failure-like features.

The availability of a human-like chronic heart failure (HF) animal model was critical for affiliating development of novel therapeutic drug treatments. With the close physiology relatedness to humans, the non-human primate (NHP) HF model would be valuable to better understand the pathophysiology and pharmacology of HF. The purpose of this work was to present preliminary cardiac image findings using echocardiography and cardiovascular magnetic resonance (CMR) in a HF-like cynomolgus macaque model. The NHP diet-induced model developed cardiac phenotypes that exhibited diastolic dysfunction with reduced left ventricular ejection fraction (LVEF) or preserved LVEF. Twenty cynomolgus monkeys with cardiac dysfunction were selected by echocardiography and subsequently separated into two groups, LVEF < 65% (termed as HFrEF, n = 10) and LVEF ≥ 65% with diastolic dysfunction (termed as HFpEF, n = 10). Another group of ten healthy monkeys was used as the healthy control. All monkeys underwent a CMR study to measure global longitudinal strain (GLS), myocardial extracellular volume (ECV), and late gadolinium enhancement (LGE). In healthy controls and HFpEF group, quantitative perfusion imaging scans at rest and under dobutamine stress were performed and myocardial perfusion reserve (MPR) was subsequently obtained. No LGE was observed in any monkey. Monkeys with HF-like features were significantly older, compared to the healthy control group. There were significant differences among the three groups in ECV (20.79 ± 3.65% in healthy controls; 27.06 ± 3.37% in HFpEF group, and 31.11 ± 4.50% in HFrEFgroup, p < 0.001), as well as for stress perfusion (2.40 ± 0.34 ml/min/g in healthy controls vs. 1.28 ± 0.24 ml/min/g in HFpEF group, p < 0.01) and corresponding MPR (1.83 ± 0.3 vs. 1.35 ± 0.29, p < 0.01). After adjusting for age, ECV (p = 0.01) and MPR (p = 0.048) still showed significant differences among the three groups. Our preliminary imaging findings demonstrated cardiac dysfunction, elevated ECV, and/or reduced MPR in this HF-like NHP model. This pilot study laid the foundation for further mechanistic research and the development of a drug testing platform for distinct HF pathophysiology.

The Impact of Pharmacotherapy for Heart Failure on Oxidative Stress-Role of New Drugs, Flozins.

Heart failure (HF) is a multifactorial clinical syndrome involving many complex processes. The causes may be related to abnormal heart structure and/or function. Changes in the renin-angiotensin-aldosterone system, the sympathetic nervous system, and the natriuretic peptide system are important in the pathophysiology of HF. Dysregulation or overexpression of these processes leads to changes in cardiac preload and afterload, changes in the vascular system, peripheral vascular dysfunction and remodeling, and endothelial dysfunction. One of the important factors responsible for the development of heart failure at the cellular level is oxidative stress. This condition leads to deleterious cellular effects as increased levels of free radicals gradually disrupt the state of equilibrium, and, as a consequence, the internal antioxidant defense system is damaged. This review focuses on pharmacotherapy for chronic heart failure with regard to oxidation-reduction metabolism, with special attention paid to the latest group of drugs, SGLT2 inhibitors-an integral part of HF treatment. These drugs have been shown to have beneficial effects by protecting the antioxidant system at the cellular level.

Abstract P2082: Thrombosis In The Coronary Microvasculature May Be Responsible For Impaired Cardiac Relaxation And Diastolic Dysfunction

Introduction: Heart Failure with Preserved Ejection Fraction (HFpEF) is proposed to be caused by endothelial dysfunction in cardiac small vessels. We previously identified Hhipl1,as a gene upregulated in the coronary vasculature of Leptin receptor deficient mice (Leprdb/db) a well-established mouse model of HFpEF. Importantly, Hhipl1 encodes for a decoy receptor of Desert Hedgehog (DHH) which is known to be critical for endothelial integrity. Objective: Our objective is to investigate the functional consequences of impaired Hedgehog (HH) signaling in the adult heart in order to identify novel mechanisms underlying the development of diastolic dysfunction. Method: Cdh5-Cre/ERT2, DhhFlox/Flox (DhhECKO) mice and their control littermates were administered with tamoxifen at 8 weeks of age to induce Dhh KO. Their cardiac function, exercise tolerance, and the phenotype of their coronary vasculature were assessed one month later. Results: DhhECKO mice presented significantly reduced exercise tolerance, increased end diastolic pressure (EDP) and Tau, with no change in their ejection fraction consistent with diastolic dysfunction. At molecular and cellular level, impaired cardiac relaxation in DhhECKO mice was associated with a significantly decreased phospholamban phosphorylation on Thr17 and an alteration of sarcomeric shortening in ex-vivo. Besides, as expected, DhhECKO mice exhibited phenotypic changes in their coronary vasculature including a prominent pro-thrombotic phenotype leading to an impaired capillary perfusion and local hypoxia. Notably, antiaggregant therapies (aspirin and clopidogrel) prevented the occurrence of both diastolic dysfunction and exercise intolerance in DhhECKO mice demonstrating for the first time that thrombosis may promote diastolic dysfunction. Importantly, we confirmed the critical role of thrombosis in Leprdb/db mice which also displayed increased cardiac small vessel thrombosis in comparison to control mice. Alike DhhECKO mice, we found that antiaggregants decreased EDP and improved exercise tolerance in Leprdb/db mice. Conclusion: Altogether, these results demonstrate that small vessel thrombosis may participate in the pathophysiology of heart failure with preserved ejection fraction.

Abstract GS.03: Functional Role Of Placental Senescence In Peripartum Cardiomyopathy

Introduction: Peripartum cardiomyopathy (PPCM) and preeclampsia (PEC) are leading causes of maternal mortality with limited therapies. Circulating factors in late pregnancy contribute to cardiac dysfunction in PPCM and PEC. We recently identified senescence-associated secretory proteins (SASP), markers of biological aging, as the most highly upregulated circulating proteins in PPCM and PEC. The mechanisms driving this paradoxical aging pathophysiology in these pregnancy-induced heart failure (HF) syndromes are unknown. Hypothesis: The placenta becomes markedly senescent by term. We hypothesized that 1) amplified placental senescence causes the increase in circulating SASP in PPCM and PEC, and 2) attenuating placental senescence might improve cardiac function in PPCM. Methods: We performed comprehensive senescence assessments in placental samples from women with preeclampsia vs . matched pregnant controls. We assessed the effects of placental senescence in human iPSC-derived cardiomyocytes (iPSC-CM) and the PGC1α-KO PPCM murine model. Results: Placentas from PEC women displayed multiple markers of amplified senescence, including increased p16 and p21 expression (2 &amp; 4 fold, p&lt;0.03), decreased DNA methylation (-1.7 fold, p&lt;0.04), and increased overall SASP expression (2 fold; p&lt;0.001). In iPSC-CM, PEC plasma induced pathologic gene expression profiles (Nppa, Nppb, Myh7) and increased Activin-A signaling (Fstl3, Serpine1, Ccn2), a key SASP factor that contributes to cardiac dysfunction in PEC and PPCM. The senolytic Fisetin attenuated placental senescence in pregnant PGC1α-KO mice, reducing placental p16 and p21 expression (-2 &amp; -3 fold, p&lt;0.01) and Activin-A levels (-2 fold, p&lt;0.03). Compared to vehicle-treated pregnant PGC1α-KO mice, Fisetin-treated animals had 35% higher left ventricular fractional shortening (31% vs . 42%; p&lt;0.001), along with reductions in cardiac Nppa expression and Activin signaling. No changes in cardiac senescence or adverse effects on fetal development were observed with Fisetin. Conclusion: We identify amplified placental senescence as part of the core pathobiology underlying PPCM and PEC, and present proof-of-concept evidence for senolytic therapeutic approaches in pregnancy-induced HF.

Trimetazidine in heart failure with preserved ejection fraction: a randomized controlled cross-over trial.

Impaired myocardial energy homeostasis plays an import role in the pathophysiology of heart failure with preserved ejection fraction (HFpEF). Left ventricular relaxation has a high energy demand, and left ventricular diastolic dysfunction has been related to impaired energy homeostasis. This study investigated whether trimetazidine, a fatty acid oxidation inhibitor, could improve myocardial energy homeostasis and consequently improve exercise haemodynamics in patients with HFpEF. The DoPING-HFpEF trial was a phase II single-centre, double-blind, placebo-controlled, randomized cross-over trial. Patients were randomized to trimetazidine treatment or placebo for 3months and switched after a 2-week wash-out period. The primary endpoint was change in pulmonary capillary wedge pressure, measured with right heart catheterization at multiple stages of bicycling exercise. Secondary endpoint was change in myocardial phosphocreatine/adenosine triphosphate, an index of the myocardial energy status, measured with phosphorus-31 magnetic resonance spectroscopy. The study included 25 patients (10/15 males/females; mean (standard deviation) age, 66 (10) years; body mass index, 29.8 (4.5) kg/m2 ); with the diagnosis of HFpEF confirmed with (exercise) right heart catheterization either before or during the trial. There was no effect of trimetazidine on the primary outcome pulmonary capillary wedge pressure at multiple levels of exercise (mean change 0 [95% confidence interval, 95% CI -2, 2] mmHg over multiple levels of exercise, P=0.60). Myocardial phosphocreatine/adenosine triphosphate in the trimetazidine arm was similar to placebo (1.08 [0.76, 1.76] vs. 1.30 [0.95, 1.86], P=0.08). There was no change by trimetazidine compared with placebo in the exploratory parameters: 6-min walking distance (mean change of -6 [95% CI -18, 7] m vs. -5 [95% CI -22, 22] m, respectively, P=0.93), N-terminal pro-B-type natriuretic peptide (5 (-156, 166) ng/L vs. -13 (-172, 147) ng/L, P=0.70), overall quality-of-life (KCCQ and EQ-5D-5L, P=0.78 and P=0.51, respectively), parameters for diastolic function measured with echocardiography and cardiac magnetic resonance, or metabolic parameters. Trimetazidine did not improve myocardial energy homeostasis and did not improve exercise haemodynamics in patients with HFpEF.

ALKBH5 inhibitors as a potential treatment strategy in heart failure-inferences from gene expression profiling.

Heart Failure (HF) is a complex clinical syndrome in which the heart is unable to provide enough blood flow to meet metabolic needs and lacks efficient venous return. HF is a major risk factor for morbidity and mortality with cardiovascular diseases globally. Despite enormous research, the molecular markers relevant to disease prognosis and management remain not well understood. Here, we analyzed the whole transcriptomes of 18 failing hearts and 15 non-failing hearts (predominantly of Caucasian origin), by applying the standard in silico tools. The analyses revealed novel gene-markers including ALKBH5 of mRNA demethylation and KMT2E of histone modification processes, significantly over-expressed in the HF compared with the non-failing hearts (FDR < 0.05). To validate the over-expression of ALKBH5, we determined the global m6A level in hypoxic H9c2 cells using a dot blot assay. The global m6A level was found markedly lower in the hypoxic H9c2 cells than in the control cells. Additionally, the expression of ALKBH5 in the H9c2 cells was quantified by the qPCR and found to be 1.18 times higher at 12 h (p < 0.05), and 1.67 times higher at 24 h of hypoxia (p < 0.01) compared with the control cells, indicating a likely role of ALKBH5 in the failing cardiac cells. Furthermore, we identified several compounds through the virtual screening of 11,272 drug-like molecules of the ZINC15 database to inhibit the ALKBH5 in a molecular docking process. Collectively, the study revealed novel markers potentially involved in the pathophysiology of HF and suggested plausible therapeutic molecules for the management of the disease.

Non-Invasive Assessment of the Intraventricular Pressure Using Novel Color M-Mode Echocardiography in Animal Studies: Current Status and Future Perspectives in Veterinary Medicine.

The assessment of diastolic function has received great interest in order to comprehend its crucial role in the pathophysiology of heart failure and for the early identification of cardiac events. Silent changes in the intraventricular flow (IVF) dynamics occur before the deterioration of the cardiac wall, although they cannot be detected using conventional echocardiography. Collective information on left ventricular (LV) pressures throughout the cardiac cycle has great value when dealing with patients with altered hemodynamics. Accurate pressure measurement inside the ventricle can be obtained by invasive methods to determine the LV diastolic pressures, which reflect the myocardial relaxation and compliance. However, catheterization is only feasible in the laboratory setting and is not suitable for clinical use due to its disadvantages. In contrast, echocardiography is simple, safe, and accessible. Color M-mode echocardiography (CMME) is an advanced cardiac evaluation technique that can measure the intraventricular pressure differences (IVPDs) and intraventricular pressure gradients (IVPGs) based on the Doppler shift of the IVF. Recently, the assessment of IVPD and IVPG has gained growing interest in the cardiovascular literature in both animal and human studies as a non-invasive method for the early diagnosis of cardiac dysfunctions, especially diastolic ones. The usability of IVPD and IVPG has been reported in various surgically induced heart failure or pharmacologically altered cardiac functions in rats, dogs, cats, and goats. This report aims to give an overview of the current studies of CMME-derived IVPD and IVPG in animal studies and its feasibility for clinical application in veterinary practice and to provide the prospects of the technique's ability to improve our understanding.

Advances in MicroRNA Therapy for Heart Failure: Clinical Trials, Preclinical Studies, and Controversies.

Heart failure (HF) is a rapidly growing public health issue with more than 37.7 million patients worldwide and an annual healthcare cost of $108 billion. However, HF-related drugs have not changed significantly for decades, and it is essential to find biological drugs to provide better treatment for HF patients. MicroRNAs (miRNAs) are non-coding RNAs (ncRNAs) with a length of approximately 21 nucleotides and play an important role in the onset and progression of cardiovascular diseases. Increasing studies have shown that miRNAs are widely involved in the pathophysiology of HF, and the regulation of miRNAs has promising therapeutic effects. Among them, there is great interest in miRNA-132, since the encouraging success of anti-miRNA-132 therapy in a phase 1b clinical trial in 2020. However, it is worth noting that the multi-target effect of miRNA may produce side effects such as thrombocytopenia, revascularization dysfunction, severe immune response, and even death. Advances in drug delivery modalities, delivery vehicles, chemical modifications, and plant-derived miRNAs are expected to address safety concerns and further improve miRNA therapy. Here, we reviewed the preclinical studies and clinical trials of HF-related miRNAs (especially miRNA-132) in the past 5 years and summarized the controversies of miRNA therapy.

A network medicine approach to study comorbidities in heart failure with preserved ejection fraction

BackgroundComorbidities are expected to impact the pathophysiology of heart failure (HF) with preserved ejection fraction (HFpEF). However, comorbidity profiles are usually reduced to a few comorbid disorders. Systems medicine approaches can model phenome-wide comorbidity profiles to improve our understanding of HFpEF and infer associated genetic profiles.MethodsWe retrospectively explored 569 comorbidities in 29,047 HF patients, including 8062 HFpEF and 6585 HF with reduced ejection fraction (HFrEF) patients from a German university hospital. We assessed differences in comorbidity profiles between HF subtypes via multiple correspondence analysis. Then, we used machine learning classifiers to identify distinctive comorbidity profiles of HFpEF and HFrEF patients. Moreover, we built a comorbidity network (HFnet) to identify the main disease clusters that summarized the phenome-wide comorbidity. Lastly, we predicted novel gene candidates for HFpEF by linking the HFnet to a multilayer gene network, integrating multiple databases. To corroborate HFpEF candidate genes, we collected transcriptomic data in a murine HFpEF model. We compared predicted genes with the murine disease signature as well as with the literature.ResultsWe found a high degree of variance between the comorbidity profiles of HFpEF and HFrEF, while each was more similar to HFmrEF. The comorbidities present in HFpEF patients were more diverse than those in HFrEF and included neoplastic, osteologic and rheumatoid disorders. Disease communities in the HFnet captured important comorbidity concepts of HF patients which could be assigned to HF subtypes, age groups, and sex. Based on the HFpEF comorbidity profile, we predicted and recovered gene candidates, including genes involved in fibrosis (COL3A1, LOX, SMAD9, PTHL), hypertrophy (GATA5, MYH7), oxidative stress (NOS1, GSST1, XDH), and endoplasmic reticulum stress (ATF6). Finally, predicted genes were significantly overrepresented in the murine transcriptomic disease signature providing additional plausibility for their relevance.ConclusionsWe applied systems medicine concepts to analyze comorbidity profiles in a HF patient cohort. We were able to identify disease clusters that helped to characterize HF patients. We derived a distinct comorbidity profile for HFpEF, which was leveraged to suggest novel candidate genes via network propagation. The identification of distinctive comorbidity profiles and candidate genes from routine clinical data provides insights that may be leveraged to improve diagnosis and identify treatment targets for HFpEF patients.Graphical

Chronic vagus nerve stimulation in patients with heart failure: challenge or failed translation?

Autonomic imbalance between the sympathetic and parasympathetic nervous systems contributes to the progression of chronic heart failure (HF). Preclinical studies have demonstrated that various neuromodulation strategies may exert beneficial cardioprotective effects in preclinical models of HF. Based on these encouraging experimental data, vagus nerve stimulation (VNS) has been assessed in patients with HF with a reduced ejection fraction. Nevertheless, the main trials conducted thus far have yielded conflicting findings, questioning the clinical efficacy of VNS in this context. This review will therefore focus on the role of the autonomic nervous system in HF pathophysiology and VNS therapy, highlighting the potential reasons behind the discrepancy between preclinical and clinical studies.

Role of Altered Venous Compliance in the Pathophysiology of Heart Failure with Preserved Ejection Fraction

Role of Altered Venous Compliance in the Pathophysiology of Heart Failure with Preserved Ejection Fraction

Association Between Progression of Arterial Stiffness and Left Ventricular Remodeling in a Community-Based Cohort

BackgroundCross sectionally measured, elevated arterial stiffness is associated with unfavorable left ventricular (LV) remodeling, suggesting its important role in the pathophysiology of heart failure. However, data linking the degree of arterial stiffness progression with LV remodeling are scarce. ObjectivesThe purpose of this study was to investigate the association between longitudinal change in arterial stiffness and changes in LV remodeling. MethodsSerial measurements of arterial stiffness by cardio-ankle vascular index (CAVI) were performed in 317 participants without cardiovascular disease and with normal arterial stiffness. LV size, mass, and function were assessed by transthoracic echocardiography and including LV global longitudinal strain (LVGLS) by speckle-tracking and tissue Doppler velocity (e’) of the mitral annulus (diastolic function). ResultsDuring a median follow-up of 26.8 mo, there was a significant increase in CAVI (P < 0.001). Generalized estimating equation analyses showed that longitudinal increase in CAVI was associated with impaired LVGLS (estimate 0.46, 95% CI: 0.11-0.82; P = 0.010) after adjustment for demographics and baseline cardiovascular factors, but not with changes of LV mass index and e’ velocity. When controlling for longitudinal change of covariates, CAVI progression remained associated with change in LVGLS (estimate 0.50, 95% CI: 0.16-0.85; P = 0.004). In sex stratified analysis, progression of CAVI was significantly associated with LVGLS deterioration only in women (estimate 0.92, 95% CI: 0.27-1.58; P = 0.006). ConclusionsLongitudinal increase in arterial stiffness is associated with deterioration in LVGLS. Vascular-ventricular coupling plays an important role in the progressive decline in ventricular function even at an early, subclinical stage.