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Background: A systemic proinflammatory state has been hypothesized to mediate the association between comorbidities and abnormal cardiac structure/function in heart failure with preserved ejection fraction (HFpEF). We conducted a proteomic analysis to investigate this paradigm., Methods: In 228 patients with HFpEF from the multicenter PROMIS-HFpEF study (Prevalence of Microvascular Dysfunction in Heart Failure With Preserved Ejection Fraction), 248 unique circulating proteins were quantified by a multiplex immunoassay (Olink) and used to recapitulate systemic inflammation. In a deductive approach, we performed principal component analysis to summarize 47 proteins known a priori to be involved in inflammation. In an inductive approach, we performed unbiased weighted coexpression network analyses of all 248 proteins to identify clusters of proteins that overrepresented inflammatory pathways. We defined comorbidity burden as the sum of 8 common HFpEF comorbidities. We used multivariable linear regression and statistical mediation analyses to determine whether and to what extent inflammation mediates the association of comorbidity burden with abnormal cardiac structure/function in HFpEF. We also externally validated our findings in an independent cohort of 117 HFpEF cases and 30 comorbidity controls without heart failure., Results: Comorbidity burden was associated with abnormal cardiac structure/function and with principal components/clusters of inflammation proteins. Systemic inflammation was also associated with increased mitral E velocity, E/e' ratio, and tricuspid regurgitation velocity; and worse right ventricular function (tricuspid annular plane systolic excursion and right ventricular free wall strain). Inflammation mediated the association between comorbidity burden and mitral E velocity (proportion mediated 19%-35%), E/e' ratio (18%-29%), tricuspid regurgitation velocity (27%-41%), and tricuspid annular plane systolic excursion (13%) ( P <0.05 for all), but not right ventricular free wall strain. TNFR1 (tumor necrosis factor receptor 1), UPAR (urokinase plasminogen activator receptor), IGFBP7 (insulin-like growth factor binding protein 7), and GDF-15 (growth differentiation factor-15) were the top individual proteins that mediated the relationship between comorbidity burden and echocardiographic parameters. In the validation cohort, inflammation was upregulated in HFpEF cases versus controls, and the most prominent inflammation protein cluster identified in PROMIS-HFpEF was also present in HFpEF cases (but not controls) in the validation cohort., Conclusions: Proteins involved in inflammation form a conserved network in HFpEF across 2 independent cohorts and may mediate the association between comorbidity burden and echocardiographic indicators of worse hemodynamics and right ventricular dysfunction. These findings support the comorbidity-inflammation paradigm in HFpEF.

We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") could identify distinct hypertension subgroups that are associated with the myocardial substrate (i.e., abnormal cardiac mechanics) for heart failure with preserved ejection fraction (HFpEF). In the HyperGEN study, a population- and family-based study of hypertension, we studied 1273 hypertensive patients utilizing clinical, laboratory, and conventional echocardiographic phenotyping of the study participants. We used machine learning analysis of 47 continuous phenotypic variables to identify mutually exclusive groups constituting a novel classification of hypertension. The phenomapping analysis classified study participants into 2 distinct groups that differed markedly in clinical characteristics, cardiac structure/function, and indices of cardiac mechanics (e.g., phenogroup #2 had a decreased absolute longitudinal strain [12.8 ± 4.1 vs. 14.6 ± 3.5%] even after adjustment for traditional comorbidities [p < 0.001]). The 2 hypertension phenogroups may represent distinct subtypes that may benefit from targeted therapies for the prevention of HFpEF.

Chronotropic incompetence (CI) is common in heart failure with preserved ejection fraction (HFpEF) and may be a key reason underlying exercise intolerance in these patients. However, the determinants of CI in HFpEF are unknown. We prospectively studied 157 patients with consecutive HFpEF who underwent cardiopulmonary exercise testing and defined CI according to specific thresholds of the percent heart rate reserve (%HRR). CI was diagnosed as present if %HRR <80 if not taking a β blocker and <62 if taking β blockers. Participants who achieved inadequate exercise effort (respiratory exchange ratio ≤1.05) on cardiopulmonary exercise testing were excluded. Multivariable-adjusted logistic regression was used to determine the factors associated with CI. Of the 157 participants, 108 (69%) achieved a respiratory exchange ratio >1.05 and were included in the final analysis. Of these 108 participants, 70% were women, 62% were taking β blockers, and 38% had chronic kidney disease. Most patients with HFpEF met criteria for CI (81 of 108; 75%). Lower estimated glomerular filtration rate (GFR), higher B-type natriuretic peptide, and higher pulmonary artery systolic pressure were each associated with CI. A 1-SD decrease in GFR was independently associated with CI after multivariable adjustment (adjusted odds ratio 2.2, 95% confidence interval 1.1 to 4.4, p = 0.02). The association between reduced GFR and CI persisted when considering a variety of measures of chronotropic response. In conclusion, reduced GFR is the major clinical correlate of CI in patients with HFpEF, and further study of the relation between chronic kidney disease and CI may provide insight into the pathophysiology of CI in HFpEF., (Copyright © 2015 Elsevier Inc. All rights reserved.)