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Circulating Cell Death Biomarkers May Predict Survival in Human Lung Transplantation.

Abstract：

RATIONALE:Immediate graft performance after lung transplantation is associated with short- and long-term clinical outcomes. However, the biologic mechanism that determines outcomes is not fully understood. OBJECTIVES:To investigate the impact of cell death signals at 24 and 48 hours after lung transplantation on short- and long-term clinical outcomes. METHODS:Plasma samples were collected pretransplantation and at 24 and 48 hours after transplant from 60 bilateral lung transplant recipients. Ten patients had primary graft dysfunction (PGD) grade 3 (PaO2/FiO2 ratio <200 or on extracorporeal membrane oxygenation support) at 72 hours after transplant (PGD group). The remaining 50 patients were defined as the control group. Levels of plasma M30 (signifying epithelial apoptosis), M65 (signifying epithelial apoptosis plus necrosis), and high-mobility group box 1 protein (HMGB-1; signifying necrosis of all cell types) were measured by ELISA and correlated with clinical outcomes. Survival analyses were performed using Kaplan-Meier curves and Cox proportional hazards regression. Prediction accuracy of markers was assessed by calculated area under the curve of receiver operating characteristic graph. MEASUREMENTS AND MAIN RESULTS:The PGD group had significantly higher M30 and M65 levels at 24 and 48 hours after transplant compared with the control group. There was no significant difference in HMGB-1. Area under the curve for 1-year survival was 0.86, 0.93, and 0.51 for M30, M65, and HMGB-1 at 48 hours, respectively. Survival analysis showed that higher M30 and M65 levels at 24 and 48 hours were significantly associated with worse survival. M65 at 48 hours remained significant even after adjustment for PGD. HMGB-1 was not significantly associated with survival. CONCLUSIONS:Recipient plasma concentration of epithelial cell death markers (M30, M65) after lung transplantation is negatively correlated with early graft performance and long-term survival.

journal_name

Am J Respir Crit Care Med

journal_title

American journal of respiratory and critical care medicine

authors

Hashimoto K,Besla R,Zamel R,Juvet S,Kim H,Azad S,Waddell TK,Cypel M,Liu M,Keshavjee S

doi

10.1164/rccm.201510-2115OC

subject

Has Abstract

pub_date

2016-07-01 00:00:00

pages

97-105

issue

eissn

1073-449X

issn

1535-4970

journal_volume

194

pub_type

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Circulating Cell Death Biomarkers May Predict Survival in Human Lung Transplantation.