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. 2024 Dec;11(6):3530-3538.
doi: 10.1002/ehf2.14968. Epub 2024 Jul 19.

IL-17 is associated with disease severity and targetable inflammatory processes in heart failure

Affiliations

IL-17 is associated with disease severity and targetable inflammatory processes in heart failure

Lukas Baumhove et al. ESC Heart Fail. 2024 Dec.

Abstract

Aims: Heart failure (HF) is recognized as an inflammatory disease in which cytokines play an important role. In animal HF models, interleukin-17A (IL-17) has been linked to deterioration of cardiac function and fibrosis, whereas knock-out of IL-17 showed beneficial cardiac effects. However, there is limited evidence of IL-17 involvement in patients with HF. This study aims to investigate the clinical characteristics, outcomes, and pathophysiological processes associated with circulating IL-17 concentrations in patients with HF.

Methods and results: IL-17 was measured by ELISA in 2082 patients diagnosed with HF along with 363 circulating proteins using proximity extension assay technology for differential expression and pathway analysis. Data were validated in an independent cohort of 1737 patients with HF. Patients with elevated IL-17 concentrations had more severe HF, as reflected by more frequent current or previous hospitalizations for HF, higher New York Heart Association functional class (NYHA) and higher levels of N-terminal pro-B-type natriuretic peptide (NT-proBNP). High IL-17 concentrations were independently associated with an increased risk of hospitalization for HF and mortality. In both cohorts, the most strongly up-regulated proteins in patients with high IL-17 were fibroblast growth factor 21 (FGF-21), interleukin-6 (IL-6), C-X-C motif chemokine ligand 13 (CXCL13), tumour necrosis factor receptor superfamily member 6B (TNFRSF6B) and interleukin-1 receptor antagonist (IL-1RA). Pathway over-representation analysis showed increased activity of pathways related to lymphocyte-mediated immunity, leukocyte activation and regulation of the immune response.

Conclusions: In patients with HF, elevated IL-17 concentrations indicate more severe HF and increased activity of inflammatory processes known to be involved in the pathophysiology of HF. IL-17 might hold potential for identifying and targeting inflammation in HF.

Keywords: cytokines; heart failure; inflammation.

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Conflict of interest statement

C. C. L. received research grants from Applied Therapeutics, Anacardia, Astra Zeneca, Boehringher Ingelheim, Eli Lilly, Moderna, Roche Diagnostics, Novo Nordisk, Novartis, BHF, UKRI, NIHR‐HTA, CSO, Horizon 2020 EU funding and JDRF. Consultancy/speaking fees from Amarin, Astra Zeneca, Boehringheringelheim, Novartis and Vifor; A. A. V. received consulting fee payments to his institution from AstraZeneca, Bayer AG, Boehringer Ingelheim, AnaCardio, Cytokinetics, Eli Lilly, Merck, Moderna, Novartis, Novo Nordisk and Pfizer; P. v. d. M. received institutional payments for consultancy fees and/or grants from AstraZeneca, Boehringer Ingelheim, BridgeBio, Ionis, Novartis, Novo Nordisk, Pfizer, Pharmacosmoc, Pharma Nord and Vifor.

Figures

Figure 1
Figure 1
Cumulative incidence curves and P value of log‐rank test for all‐cause mortality and the combined endpoint of HF hospitalization and mortality at 2 years in the index cohort (A) and the validation cohort (B) stratified according to levels of IL‐17.
Figure 2
Figure 2
Volcano plots presenting differentially expressed proteins in heart failure patients with high IL‐17 concentrations compared with heart failure patients with low IL‐17 concentrations corrected for age and sex in(A) the index cohort, (B) the validation cohort. Proteins labelled grey (not significant), green (log2fold change >0.1), blue (significant) and red (significant and log2fold change >0.1). Adjusted P value cut‐off 0.05.
Figure 3
Figure 3
Pathway over‐representation analyses for heart failure patients with high IL‐17 concentrations compared withheart failure patients with low IL‐17 concentrations. The ratio represents the proportion of up‐regulated proteins in the pathway analysis, divided by the total number of proteins present.

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