Label-Free Proteomics Approach Characterizes Plasma Protein Signature of Donor Brain Death

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Lukac , J , Saraswat , M , Holmström , E , Dhaygude , K , Joenväärä , S , Krebs , R , Nykänen , A , Renkonen , R & Lemström , K 2019 , ' Label-Free Proteomics Approach Characterizes Plasma Protein Signature of Donor Brain Death ' , Journal of Heart and Lung Transplantation , vol. 38 , no. 4, Supplement , pp. S159 .

Title: Label-Free Proteomics Approach Characterizes Plasma Protein Signature of Donor Brain Death
Author: Lukac, J.; Saraswat, Mayank; Holmström, E.; Dhaygude, K.; Joenväärä, Sakari; Krebs, R.; Nykänen, A.; Renkonen, R.; Lemström, K.
Contributor organization: HUSLAB
Doctoral Programme in Biomedicine
Department of Pathology
Doctoral Programme in Wildlife Biology
Transplantation Laboratory
HUS Heart and Lung Center
Staff Services
Department of Bacteriology and Immunology
Risto Renkonen / Principal Investigator
Infection Biology Research Program
Department of Surgery
University Management
Doctoral Programme in Clinical Research
Date: 2019-04
Language: eng
Number of pages: 1
Belongs to series: Journal of Heart and Lung Transplantation
ISSN: 1053-2498
Abstract: Purpose Despite recent advances in donation after circulatory death, transplants from brain-dead donors remain the sole source in heart transplantation (HTx) worldwide. Due to organ shortage, marginal donors are increasingly used and the utilization of transplants becomes markedly more challenging. They undergo invariably brain death that induces a systemic cytokine and catecholamine storm that lead to systemic inflammation, labile hemodynamics, and organ hypoperfusion. Together, these can damage the heart and aggravate later occurring graft injury, and ultimately, compromise graft function. However, the effect of donor brain death on allografts is not well understood. Methods In a separate prospective, blinded single-center trial, we collected donor plasma samples and relevant clinical patient data from 50 HTx brain-dead donors and as controls plasma samples from age- and gender-matched 23 healthy volunteers. Quantitative label-free proteomics in high definition MSE mode (HDMSE) was carried out on the samples. Various statistical analyses were performed on quantitative proteomics data to obtain the most reliably distinguishing proteins, which classify the donors vs controls. Results With two or more unique proteins per identification, 463 proteins were quantified in our pilot study. A complete separation between donors and controls based on a set of 278 proteins (p-value
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: acceptedVersion

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