Literature DB >> 28133934

A novel immune function biomarker identifies patients at risk of clinical events early following liver transplantation.

Siddharth Sood1,2,3, Craig Haifer1, Lijia Yu3, Julie Pavlovic1, Leonid Churilov4, Paul J Gow1, Robert M Jones1, Peter W Angus1, Kumar Visvanathan3, Adam G Testro1.   

Abstract

Balancing immunosuppression after liver transplant is difficult, with clinical events common. We investigate whether a novel immune biomarker based on a laboratory platform with widespread availability that measures interferon γ (IFNγ) after stimulation with a lyophilized ball containing an adaptive and innate immune stimulant can predict events following transplantation. A total of 75 adult transplant recipients were prospectively monitored in a blinded, observational study; 55/75 (73.3%) patients experienced a total of 89 clinical events. Most events occurred within the first month. Low week 1 results were significantly associated with risk of early infection (area under the receiver operating characteristic curve [AUROC], 0.74; P = 0.008). IFNγ ≤ 1.30 IU/mL (likelihood ratio positive, 1.93; sensitivity, 71.4%; specificity, 63.0%) was associated with the highest risk for infection with minimal rejection risk. Nearly half the cohort (27/60, 45.0%) expressed IFNγ ≤ 1.30 IU/mL. Moreover, an elevated week 1 result was significantly associated with the risk of rejection within the first month after transplant (AUROC, 0.77; P = 0.002), but no episodes of infection. On multivariate logistic regression, IFNγ ≥ 4.49 IU/mL (odds ratio, 4.75) may be an independent predictor of rejection (P = 0.05). In conclusion, low IFNγ suggesting oversuppression is associated with infections, whereas high IFNγ indicating undersuppression is associated with rejection. This assay offers the potential to allow individualization and optimization of immunosuppression that could fundamentally alter the way patients are managed following transplantation. Liver Transplantation 23 487-497 2017 AASLD.
© 2017 by the American Association for the Study of Liver Diseases.

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Year:  2017        PMID: 28133934     DOI: 10.1002/lt.24730

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  5 in total

1.  Exosome-derived galectin-9 may be a novel predictor of rejection and prognosis after liver transplantation.

Authors:  Ai-Bin Zhang; Yi-Fan Peng; Jun-Jun Jia; Yu Nie; Shi-Yu Zhang; Hai-Yang Xie; Lin Zhou; Shu-Sen Zheng
Journal:  J Zhejiang Univ Sci B       Date:  2019-07       Impact factor: 3.066

2.  The proportion of CD19+CD24hiCD27+ regulatory B cells predicts the occurrence of acute allograft rejection in liver transplantation.

Authors:  Haoming Zhou; Feng Zhan; Hui Zhang; Jian Gu; Xiaoxin Mu; Ji Gao; Jianhua Rao; Guwei Ji; Xuhao Ni; Ling Lu; Yongxiang Xia
Journal:  Ann Transl Med       Date:  2019-09

3.  A Polyclonal Immune Function Assay Allows Dose-Dependent Characterization of Immunosuppressive Drug Effects but Has Limited Clinical Utility for Predicting Infection on an Individual Basis.

Authors:  Stefanie Marx; Claudia Adam; Janine Mihm; Michael Weyrich; Urban Sester; Martina Sester
Journal:  Front Immunol       Date:  2020-05-15       Impact factor: 7.561

4.  The Measurement of Donor-Specific Cell-Free DNA Identifies Recipients With Biopsy-Proven Acute Rejection Requiring Treatment After Liver Transplantation.

Authors:  Su Kah Goh; Hongdo Do; Adam Testro; Julie Pavlovic; Angela Vago; Julie Lokan; Robert M Jones; Christopher Christophi; Alexander Dobrovic; Vijayaragavan Muralidharan
Journal:  Transplant Direct       Date:  2019-06-21

5.  Evaluation of cell-mediated immune response by QuantiFERON Monitor Assay in kidney transplant recipients presenting with infective complications.

Authors:  Ivan Margeta; Ivana Mareković; Ana Pešut; Marina Zelenika; Marija Dorotić; Ivana Mrnjec; Mladen Knotek
Journal:  Medicine (Baltimore)       Date:  2020-07-02       Impact factor: 1.817

  5 in total

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