
@Article{ecn.2017.0397,
AUTHOR = {Fatemeh Mohammadi, Ghasem Solgi, Maryam Tajik, Pedram Ahmadpoor, Hasan Nikoeinejad, Behzad Einollahi, Banafsheh Nazari, Mahboob Lessan-pezeshki, Aliakbar Amirzargar},
TITLE = {Enzyme-Linked Immunosorbent Spot (ELISpot) monitoring of cytokine-producing cells for the prediction of acute rejection in renal transplant patients},
JOURNAL = {European Cytokine Network},
VOLUME = {28},
YEAR = {2017},
NUMBER = {3},
PAGES = {93--101},
URL = {http://www.techscience.com/ECN/v28n3/65514},
ISSN = {1952-4005},
ABSTRACT = {The purpose of this study was to evaluate T-cell immunity markers using serial post-transplantation
monitoring of cytokine-producing cells during the ﬁrst post-transplant months for the prediction of acute rejection
and potentially chronic rejection of kidney allograft. We followed 57 kidney allograft recipients for meanly 3
years post-transplantation. Blood samples were collected pre-transplant, 2, 4 and 12 weeks post-transplant. The
frequencies of IL-10-, IL-17- and IFN-γ-producing cells were determined in all time-points using ELISPOT assay.
The results of ELISpot monitoring and levels of IL-23 and TGF-β were compared between recipients with acute
(n = 12) or chronic rejection episodes and patients with stable graft function (n = 45). In all post-transplant time-points,
signiﬁcantly high frequencies of IFN-γ- and IL-17-producing cells and low frequency of IL-10-producing
cells were observed in rejection group versus patients with stable graft function (P < 0.0001). The ROC curve analysis
for determining the reliability of cytokine-producing cells for the prediction of acute rejection revealed that AUC
was 0.046 for IL-10 (P < 0.001), 0.927 for IL-17 (P < 0.001) and 0.929 for INF-γ-producing cells (P < 0.001). Our
results indicate that analyzing the frequencies of INF-γ/IL-10/IL-17-producing cells may deﬁne a reliable panel
for the prediction of acute rejection within the ﬁrst post-transplant year which could also be applicable for the
prediction of chronic rejection episodes.},
DOI = {10.1684/ecn.2017.0397}
}



