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

Copyright © 2014 Elsevier Inc. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Clinical immunology (Orlando, Fla.). - 1999. - 154(2014), 2 vom: 01. Okt., Seite 141-54
1. Verfasser: Millán, O (VerfasserIn)
Weitere Verfasser: Rafael-Valdivia, L, San Segundo, D, Boix, F, Castro-Panete, M J, López-Hoyos, M, Muro, M, Valero-Hervás, D, Rimola, A, Navasa, M, Muñoz, P, Miras, M, Andrés, A, Guirado, L, Pascual, J, Brunet, M
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:Clinical immunology (Orlando, Fla.)
Schlagworte:Journal Article Multicenter Study Research Support, Non-U.S. Gov't Acute rejection; Bootstrap IFN-γ, IL-2 and IL-17; Kidney transplantation; Liver transplantation; Biomarkers Interleukin-17 mehr... Interleukin-2 Interferon-gamma 82115-62-6
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100 1 |a Millán, O  |e verfasserin  |4 aut 
245 1 0 |a 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 
264 1 |c 2014 
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520 |a 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 
650 4 |a Journal Article 
650 4 |a Multicenter Study 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Acute rejection; 
650 4 |a Bootstrap 
650 4 |a IFN-γ, IL-2 and IL-17; 
650 4 |a Kidney transplantation; 
650 4 |a Liver transplantation; 
650 7 |a Biomarkers  |2 NLM 
650 7 |a Interleukin-17  |2 NLM 
650 7 |a Interleukin-2  |2 NLM 
650 7 |a Interferon-gamma  |2 NLM 
650 7 |a 82115-62-6  |2 NLM 
700 1 |a Rafael-Valdivia, L  |e verfasserin  |4 aut 
700 1 |a San Segundo, D  |e verfasserin  |4 aut 
700 1 |a Boix, F  |e verfasserin  |4 aut 
700 1 |a Castro-Panete, M J  |e verfasserin  |4 aut 
700 1 |a López-Hoyos, M  |e verfasserin  |4 aut 
700 1 |a Muro, M  |e verfasserin  |4 aut 
700 1 |a Valero-Hervás, D  |e verfasserin  |4 aut 
700 1 |a Rimola, A  |e verfasserin  |4 aut 
700 1 |a Navasa, M  |e verfasserin  |4 aut 
700 1 |a Muñoz, P  |e verfasserin  |4 aut 
700 1 |a Miras, M  |e verfasserin  |4 aut 
700 1 |a Andrés, A  |e verfasserin  |4 aut 
700 1 |a Guirado, L  |e verfasserin  |4 aut 
700 1 |a Pascual, J  |e verfasserin  |4 aut 
700 1 |a Brunet, M  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Clinical immunology (Orlando, Fla.)  |d 1999  |g 154(2014), 2 vom: 01. Okt., Seite 141-54  |w (DE-627)NLM098196855  |x 1521-7035  |7 nnns 
773 1 8 |g volume:154  |g year:2014  |g number:2  |g day:01  |g month:10  |g pages:141-54 
856 4 0 |u http://dx.doi.org/10.1016/j.clim.2014.07.007  |3 Volltext 
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