1. The novel proteomic signature for cardiac allograft vasculopathy
- Author
-
Dongmei Wei, Sander Trenson, Jan M. Van Keer, Jesus Melgarejo, Ella Cutsforth, Lutgarde Thijs, Tianlin He, Agnieszka Latosinska, Agnieszka Ciarka, Thomas Vanassche, Lucas Van Aelst, Stefan Janssens, Johan Van Cleemput, Harald Mischak, Jan A. Staessen, Peter Verhamme, and Zhen‐Yu Zhang
- Subjects
Heart transplantation ,Cardiac allograft vasculopathy ,Biomarkers ,Proteomics ,Diagnosis ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Aims Cardiac allograft vasculopathy (CAV) is the major long‐term complication after heart transplantation, leading to mortality and re‐transplantation. As available non‐invasive biomarkers are scarce for CAV screening, we aimed to identify a proteomic signature for CAV. Methods and results We measured urinary proteome by capillary electrophoresis coupled with mass spectrometry in 217 heart transplantation recipients (mean age: 55.0 ± 14.4 years; women: 23.5%), including 76 (35.0%) patients with CAV diagnosed by coronary angiography. We randomly and evenly grouped participants into the derivation cohort (n = 108, mean age: 56.4 ± 13.8 years; women: 22.2%; CAV: n = 38) and the validation cohort (n = 109, mean age: 56.4 ± 13.8 years; women: 24.8%, CAV: n = 38), stratified by CAV. Using the decision tree‐based machine learning methods (extreme gradient boost), we constructed a proteomic signature for CAV discrimination in the derivation cohort and verified its performance in the validation cohort. The proteomic signature that consisted of 27 peptides yielded areas under the curve of 0.83 [95% confidence interval (CI): 0.75–0.91, P
- Published
- 2022
- Full Text
- View/download PDF