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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Clinica Chimica Actaarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Clinica Chimica Acta
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Cytokines as predictive biomarkers of alloreactivity

Authors: M, Brunet;

Cytokines as predictive biomarkers of alloreactivity

Abstract

Clinical use of valid biomarkers enables the prediction of alloreactive response (risk of rejection) and personal susceptibility to immunosuppressive treatment could lead to personalized immunosuppressive therapy. In clinical transplantation, it has been reported that cytokine production and secretion could be modified by immunosuppressive drugs, as well as during the rejection process. Some cytokines such as interferon (IFN)-γ, interleukin (IL)-2, IL-10, and transforming growth factor (TGF)-β have been identified as candidate biomarkers that correlate with graft outcome and personal response to immunosuppressive agents. This review will focus on the current state of knowledge, indicating that monitoring changes in cytokine production could be used to predict the risk of rejection and to guide immunosuppression therapy in transplant recipients. In addition, many questions regarding the characteristics and standardization of the methods used for cytokine monitoring (ELISA; ELISPOT; Flow Cytometry) that need to be addressed before these assays can be clinically applied will be discussed in light of recent studies showing an association between the expression of some cytokines and genetic variants, the impact of immunosuppression, and the incidence of rejection. The clinical implementation of cytokine monitoring should be tested in prospective multicenter clinical trials with standard operating procedures and objective interpretation of the results obtained.

Keywords

Graft Rejection, Predictive Value of Tests, Risk Factors, Cytokines, Humans, Transplantation, Homologous, Organ Transplantation, Biomarkers, Immunosuppressive Agents

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
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