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Alterations in the kallikrein-kinin system predict death after heart transplant.
Giangreco, Nicholas P; Lebreton, Guillaume; Restaino, Susan; Farr, Maryjane; Zorn, Emmanuel; Colombo, Paolo C; Patel, Jignesh; Soni, Rajesh Kumar; Leprince, Pascal; Kobashigawa, Jon; Tatonetti, Nicholas P; Fine, Barry M.
Affiliation
  • Giangreco NP; Departments of Systems Biology, Biomedical Informatics, and Medicine, Columbia University, New York, NY, USA.
  • Lebreton G; Chirurgie Thoracique et Cardiovasculaire, Pitíe-Salpetriere University Hospital, Paris, France.
  • Restaino S; Department of Medicine, Division of Cardiology, Columbia University Irving Medical Center, New York, NY, USA.
  • Farr M; Department of Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Zorn E; Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA.
  • Colombo PC; Department of Medicine, Division of Cardiology, Columbia University Irving Medical Center, New York, NY, USA.
  • Patel J; Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
  • Soni RK; Proteomics and Macromolecular Crystallography Shared Resource, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
  • Leprince P; Chirurgie Thoracique et Cardiovasculaire, Pitíe-Salpetriere University Hospital, Paris, France.
  • Kobashigawa J; Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
  • Tatonetti NP; Departments of Systems Biology, Biomedical Informatics, and Medicine, Columbia University, New York, NY, USA.
  • Fine BM; Institute for Genomic Medicine, Columbia University, New York, NY, USA.
Sci Rep ; 12(1): 14167, 2022 08 19.
Article in En | MEDLINE | ID: mdl-35986069
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kallikrein-Kinin System / Heart Transplantation Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kallikrein-Kinin System / Heart Transplantation Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: United States