4.7 Article

Pre-transplant T-cell Clonality An Observational Study of a Biomarker for Prediction of Sepsis in Liver Transplant Recipients

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ANNALS OF SURGERY
卷 274, 期 3, 页码 411-418

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/SLA.0000000000004998

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liver transplant; sepsis; t-cell clonality

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  1. Houston Methodist Research Institute

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This study found that pre-transplant T-cell clonality can predict the occurrence of sepsis after liver transplant, providing a new biomarker for early monitoring and management of sepsis. Adequate treatment for sepsis can reduce mortality after liver transplant.
Objective: This study investigated the ability of pre-transplant T-cell clonality to predict sepsis after liver transplant (LT). Summary Background Data: Sepsis is a leading cause of death in LT recipients. Currently, no biomarkers predict sepsis before clinical symptom manifestation. Methods: Between December 2013 and March 2018, our institution performed 478 LTs. After exclusions (eg, patients with marginal donor livers, autoimmune disorders, nonabdominal multi-organ, and liver retransplantations), 180 consecutive LT were enrolled. T-cell characterization was assessed within 48 hours before LT (immunoSEQ Assay, Adaptive Biotechnologies, Seattle, WA). Sepsis-2 and Sepsis-3 cases, defined by presence of acute infection plus >= 2 SIRS criteria, or clinical documentation of sepsis, were identified by chart review. Receiver-operating characteristic analyses determined optimal T-cell repertoire clonality for predicting post-LT sepsis. Kaplan-Meier and Cox proportional hazard modeling assessed outcome-associated prognostic variables. Results: Patients with baseline T-cell repertoire clonality >= 0.072 were 3.82 (1.25, 11.40; P = 0.02), and 2.40 (1.00, 5.75; P = 0.049) times more likely to develop sepsis 3 and 12 months post-LT, respectively, when compared to recipients with lower (<0.072) clonality. T-cell repertoire clonality was the only predictor of sepsis 3 months post-LT in multivariate analysis (C-Statistic, 0.75). Adequate treatment resulted in equivalent survival rates between both groups: (93.4% vs 96.2%, respectively, P = 0.41) at 12 months post-LT. Conclusions: T-cell repertoire clonality is a novel biomarker predictor of sepsis before development of clinical symptoms. Early sepsis monitoring and management may reduce post-LT mortality. These findings have implications for developing sepsis-prevention protocols in transplantation and potentially other populations.

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