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Updated: Aug 31, 2025

Pre-clinical Model of Cardiac Donation after Circulatory Death
Published on: August 2, 2019
Alterations in the kallikrein-kinin system predict death after heart transplant
Nicholas P Giangreco1, Guillaume Lebreton2, Susan Restaino3
1Departments of Systems Biology, Biomedical Informatics, and Medicine, Columbia University, New York, NY, USA.
Insights
Proteomics identified six novel biomarkers in pre-transplant serum microvesicles that predict heart transplant survival. These markers, linked to coagulation and platelet activation, offer improved risk stratification beyond clinical factors.
Area of Science:
- Biomarker Discovery
- Proteomics
- Transplantation Science
Background:
- Heart transplantation is the gold standard for end-stage heart failure.
- Limited donor availability necessitates precise risk stratification for optimal outcomes.
- Pre-transplant assessment is critical for resource allocation and patient prognosis.
Purpose of the Study:
- To identify novel proteomic biomarkers from pre-transplant serum microvesicles for predicting post-heart transplant survival.
- To evaluate the predictive performance of these biomarkers against traditional clinical factors.
- To explore the biological pathways associated with post-transplant outcomes.
Main Methods:
- Serum microvesicles were isolated from pre-transplant samples.
- Proteomic analysis was performed using mass spectrometry.
- Monte Carlo cross-validation integrated proteomic data and clinical characteristics for survival prediction.
Main Results:
- Six protein markers (Prothrombin, SERPINF2, Factor IX, CPB2, HGFAC, LK) demonstrated predictive performance (AUROC > 0.6).
- No single clinical characteristic achieved an AUROC > 0.6.
- Enriched pathways included platelet activation and coagulation cascade, particularly the kallikrein-kinin system (KKS).
Conclusions:
- Serum microvesicle proteomics identifies novel biomarkers for predicting heart transplant survival.
- Coagulation pathway and KKS alterations pre-transplant are associated with post-transplant outcomes.
- Further research is needed to validate KKS alterations as a contributor to transplant success.
Abstract:
Heart transplantation remains the definitive treatment for end stage heart failure. Because availability is limited, risk stratification of candidates is crucial for optimizing both organ allocations and transplant outcomes. Here we utilize proteomics prior to transplant to identify new biomarkers that predict post-transplant survival in a multi-institutional cohort. Microvesicles were isolated from serum samples and underwent proteomic analysis using mass spectrometry. Monte Carlo cross-validation (MCCV) was used to predict survival after transplant incorporating select recipient pre-transplant clinical characteristics and serum microvesicle proteomic data. We identified six protein markers with prediction performance above AUROC of 0.6, including Prothrombin (F2), anti-plasmin (SERPINF2), Factor IX, carboxypeptidase 2 (CPB2), HGF activator (HGFAC) and low molecular weight kininogen (LK). No clinical characteristics demonstrated an AUROC > 0.6. Putative biological functions and pathways were assessed using gene set enrichment analysis (GSEA). Differential expression analysis identified enriched pathways prior to transplant that were associated with post-transplant survival including activation of platelets and the coagulation pathway prior to transplant. Specifically, upregulation of coagulation cascade components of the kallikrein-kinin system (KKS) and downregulation of kininogen prior to transplant were associated with survival after transplant. Further prospective studies are warranted to determine if alterations in the KKS contributes to overall post-transplant survival.
Related Concept Videos
Kidney Transplant I: Introduction
Kidney Transplant II: Surgical Procedure
Kidney Transplant III: Nursing Management

