Alterations in the kallikrein-kinin system predict death after heart transplant

被引:1
作者
Giangreco, Nicholas P. [1 ,2 ,3 ]
Lebreton, Guillaume [4 ]
Restaino, Susan [5 ]
Farr, Maryjane [6 ]
Zorn, Emmanuel [7 ]
Colombo, Paolo C. [5 ]
Patel, Jignesh [8 ]
Soni, Rajesh Kumar [9 ]
Leprince, Pascal [4 ]
Kobashigawa, Jon [8 ]
Tatonetti, Nicholas P. [1 ,2 ,3 ,10 ]
Fine, Barry M. [5 ]
机构
[1] Columbia Univ, Dept Syst Biol, New York, NY USA
[2] Columbia Univ, Dept Biomed Informat, New York, NY USA
[3] Columbia Univ, Dept Med, New York, NY USA
[4] Pitie Salpetriere Univ Hosp, Chirurg Thorac & Cardiovasc, Paris, France
[5] Columbia Univ, Dept Med, Irving Med Ctr, Div Cardiol, New York, NY 10027 USA
[6] Univ Texas Southwestern Med Ctr Dallas, Dept Med, Div Cardiol, Dallas, TX 75390 USA
[7] Columbia Univ, Ctr Translat Immunol, Irving Med Ctr, New York, NY USA
[8] Cedars Sinai Med Ctr, Cedars Sinai Heart Inst, Los Angeles, CA 90048 USA
[9] Columbia Univ, Herbert Irving Comprehens Canc Ctr, Prote & Macromol Crystallog Shared Resource, Irving Med Ctr, New York, NY USA
[10] Columbia Univ, Inst Genom Med, New York, NY USA
关键词
ACTIVATABLE FIBRINOLYSIS INHIBITOR; PRIMARY GRAFT DYSFUNCTION; PLASMA KALLIKREIN; BRADYKININ; MICROVESICLES; EXPRESSION; BIOMARKERS; EXOSOMES;
D O I
10.1038/s41598-022-18573-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:11
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