{"title":"Enzyme-Linked Immunosorbent Spot (ELISpot) monitoring of cytokine-producing cells for the prediction of acute rejection in renal transplant patients.","authors":"Fatemeh Mohammadi, Ghasem Solgi, Maryam Tajik, Pedram Ahmadpoor, Hasan Nikoeinejad, Behzad Einollahi, Banafsheh Nazari, Mahboob Lessan-Pezeshki, Aliakbar Amirzargar","doi":"10.1684/ecn.2017.0397","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":11749,"journal":{"name":"European cytokine network","volume":"28 3","pages":"93-101"},"PeriodicalIF":2.2000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1684/ecn.2017.0397","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European cytokine network","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1684/ecn.2017.0397","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 4
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.
期刊介绍:
The journal that brings together all areas of work involving cytokines.
European Cytokine Network is an electronic journal that publishes original articles and abstracts every quarter to provide an essential bridge between researchers and clinicians with an interest in this cutting-edge field.
The journal has become a must-read for specialists in the field thanks to its swift publication and international circulation.
The journal is referenced in several databases, including Medline, which is testament to its scientific quality.