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Should IFN-γ, IL-17 and IL-2 be considered predictive biomarkers of acute rejection in liver and kidney transplant? Results of a multicentric study. | LitMetric

Should IFN-γ, IL-17 and IL-2 be considered predictive biomarkers of acute rejection in liver and kidney transplant? Results of a multicentric study.

Clin Immunol

Farmacología y Toxicología, Centro de Diagnóstico Biomédico, IDIBAPS, Hospital Clínico, Universidad de Barcelona, c/Villarroel 170, 08036 Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), c/Sinesio Delgado 4, 28029 Madrid, Spain. Electronic address:

Published: October 2014

AI Article Synopsis

  • Acute rejection (AR) is a significant challenge in organ transplantation, prompting the search for predictive biomarkers in liver and kidney transplant recipients.
  • A multicenter study analyzed various biomarkers, including IFN-γ, IL-17, and IL-2, both before and after transplantation, involving 142 patients (63 liver, 79 kidney), where 28 developed AR.
  • The study found that specific intracellular expressions of these biomarkers could predict a high risk of AR, leading to the development of risk prediction models that can inform future treatment strategies and help tailor immunosuppressive therapies.

Article Abstract

Acute rejection (AR) remains a major challenge in organ transplantation, and there is a need for predictive biomarkers. In the present multicenter study, we prospectively examined a series of biomarkers in liver and kidney recipients. Intracellular expression of IFN-γ, IL-17 and IL-2 and IL-17 soluble production were evaluated both pre-transplantation and post-transplantation (1st and 2nd week, 1st, 2nd and 3rd month). 142 transplant patients (63 liver/79 kidney) were included in the study. Twenty-eight recipients (14 liver/14 kidney) developed AR. Pre- and post-transplantation intracellular expression of %IFN-γ(+) in CD4(+)CD69(+) and in CD8(+)CD69(+) and soluble IL17 identified liver and kidney transplant patients at high risk of AR. Pre-transplantation, %IL-2(+) in CD8(+)CD69(+) also identified kidney patients at high risk. We constructed pre- and post-transplantation risk prediction models, based on a composite panel of biomarkers, which could provide the basis for future studies and will be a useful tool for the selection and adjustment of immunosuppressive treatments.

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Source
http://dx.doi.org/10.1016/j.clim.2014.07.007DOI Listing

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