Urinary proteomic analysis for biomarker discovery of pulmonary arterial hypertension-induced right ventricular failure

Abstract

Abstract Background Right ventricular failure (RVF) is one of the independent and strong predictors of mortality in pulmonary arterial hypertension (PAH). Urine is more suitable and sensitive for biomarker discovery with no need for homeostatic control compared to blood. Purpose The purpose of this study is to investigate candidate urinary biomarkers for RV structural and functional monitoring during PAH progression. Methods The urinary proteome of 21 monocrotaline (MCT)-induced PAH rats (8 controls, 8 of compensated RV group, 5 of decompensated RV group) were identified using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). And the differential proteins were verified by parallel reaction monitoring (PRM)-targeted quantitative proteomics. Candidate biomarkers were further validated using ELISA in the urine of PAH patients. Results In total, 1811 urinary proteins were identified with at least 1 unique peptide (FDR≤1%). Compared to the control group of rats, 118 and 184 proteins were altered in the compensated and decompensated groups, respectively, and 62 differential proteins were found between the two stages (2.0-fold change, p< 0.05). The canonical pathways revealed that complement system, glutathione metabolism and iron homeostasis were enriched in the compensated stage, while interferon signaling, fibrosis, Wnt signaling and epithelial-mesenchymal transition were enriched in the failing stage. Four proteins confirmed by PRM, which were also of good discrimination ability of two RV stages were selected for further validation. ELISA results of the urine of PAH patients showed that IL18BP, IFNABR, LGALS3BP and α2-AP were sequentially elevated as disease progressed. Correlation analysis with clinical indicators showed that these proteins were positively correlated with right atrial pressure and right heart dilation, and negatively correlated with cardiac index and tricuspid annular plane systolic excursion. The combination of these four proteins panel could significantly distinguish PAH patients from healthy controls (AUC=0.985, 95%CI 0.955-1) and performs well in distinguishing high-risk PAH patients from low-risk ones (AUC=0.922, 95%CI 0.807-1). Conclusions Novel RVF candidate urinary biomarkers were found through in-depth proteomic analysis of PAH rat model. The panel of these four proteins, which were significantly correlated with RV structural remodeling and systolic function, showed good performance in diagnosis and risk stratification of PAH patients.Figure 1.Study workflowFigure 1.Main results of the study