Distinct Pathological Pathways in Patients With Heart Failure and Diabetes
JACC: Heart Failure, 2020
Tromp J., Voors A., Sharma A., Ferreira J., Ouwerkerk W., Hillege H., Gomez K., Dickstein K., Anker S., Metra M., Lang C., Ng L., van der Harst P., van Veldhuisen D., van der Meer P., Lam C., Zannad F., Sama I.
| Disease area | Application area | Sample type | Products |
|---|---|---|---|
Metabolic Diseases CVD | Pathophysiology | Plasma |  Olink Target 96 |
Abstract
Objectives
The aims of this study were to compare the characteristics of patients with and without diabetes and to use network analyses to compare biomarker profiles and associated pathways in patients with diabetes compared with those without diabetes, which might offer new avenues for potential therapeutic targets.
Background
Diabetes adversely affects clinical outcomes and complicates treatment in patients with heart failure (HF). A clear understanding of the pathophysiological processes associated with type 2 diabetes in HF is lacking.
Methods
Network and pathway over-representation analyses were performed to identify unique pathological pathways in patients with and without diabetes using 92 biomarkers from different pathophysiological domains measured in plasma samples from 1,572 patients with HF (31% with diabetes) with reduced ejection fraction (left ventricular ejection fraction <40%). The results were validated in an independent cohort of 729 patients (30% with diabetes).
Results
Biomarker profiles were first compared between patients with HF with and without diabetes. Patients with diabetes showed higher levels of galectin-4, growth differentiation factor 15, and fatty acid binding protein 4 and lower levels of paraoxonase 3. Network analyses were then performed, revealing that epidermal growth factor receptor and galectin-3 were the most prominent connecting proteins. Translation of these networks to biologic pathways revealed that diabetes was associated with inflammatory response and neutrophil degranulation. Diabetes conferred worse outcomes after correction for an established risk model (hazard ratio: 1.20; 95% confidence interval: 1.01 to 1.42).
Conclusions
Concomitant diabetes in patients with HF with reduced ejection fraction is associated with distinct pathophysiological pathways related to inflammation, protein phosphorylation, and neutrophil degranulation. These data support the evaluation of anti-inflammatory therapeutic approaches, epidermal growth factor receptor in particular, for patients with HF and diabetes.