Literature DB >> 16701175

Prediction of acute renal allograft rejection in early post-transplantation period by soluble CD30.

Wang Dong1, Yang Shunliang, Wu Weizhen, Wang Qinghua, Zeng Zhangxin, Tan Jianming, Wang He.   

Abstract

To evaluate the feasibility of serum sCD30 for prediction of acute graft rejection, we analyzed clinical data of 231 patients, whose serum levels of sCD30 were detected by ELISA before and after transplantation. They were divided into three groups: acute rejection group (AR, n = 49), uncomplicated course group (UC, n = 171) and delayed graft function group (DGF, n = 11). Preoperative sCD30 levels of three groups were 183 +/- 74, 177 +/- 82 and 168 +/- 53 U/ml, respectively (P = 0.82). Significant decrease of sCD30 was detected in three groups on day 5 and 10 post-transplantation respectively (52 +/- 30 and 9 +/- 5 U/ml respectively, P < 0.001). Compared with Group UC and DGF, patients of Group AR had higher sCD30 values on day 5 post-transplantation (92 +/- 27 U/ml vs. 41 +/- 20 U/ml and 48 +/- 18 U/ml, P < 0.001). However, sCD30 levels on day 10 post-transplantation were virtually similar in patients of three groups (P = 0.43). Receiver operating characteristic (ROC) curve demonstrated that sCD30 level on day 5 post-transplantation could differentiate patients who subsequently suffered acute allograft rejection from others (area under ROC curve 0.95). According to ROC curve, 65 U/ml may be the optimal operational cut-off level to predict impending graft rejection (specificity 91.8%, sensitivity 87.1%). Measurement of soluble CD30 on day 5 post-transplantation might offer a noninvasive means to recognize patients at risk of impending acute graft rejection during early post-transplantation period.

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Year:  2006        PMID: 16701175     DOI: 10.1016/j.trim.2006.02.005

Source DB:  PubMed          Journal:  Transpl Immunol        ISSN: 0966-3274            Impact factor:   1.708


  6 in total

1.  Pre-transplant and post-transplant soluble CD30 for prediction and diagnosis of acute kidney allograft rejection.

Authors:  Mohsen Nafar; Farhat Farrokhi; Mohammad Vaezi; Amir-Ebrahim Entezari; Fatemeh Pour-Reza-Gholi; Ahmad Firoozan; Behzad Eniollahi
Journal:  Int Urol Nephrol       Date:  2008-12-30       Impact factor: 2.370

2.  Combination of IL-1 receptor antagonist, IL-20 and CD40 ligand for the prediction of acute cellular renal allograft rejection.

Authors:  Xiaoguang Xu; Haiyan Huang; Ming Cai; Yeyong Qian; Zhouli Li; Hongwei Bai; Yong Han; Li Xiao; Wenqiang Zhou; Xinying Wang; Bingyi Shi
Journal:  J Clin Immunol       Date:  2012-09-05       Impact factor: 8.317

3.  Maternal serum soluble CD30 is increased in normal pregnancy, but decreased in preeclampsia and small for gestational age pregnancies.

Authors:  Juan Pedro Kusanovic; Roberto Romero; Sonia S Hassan; Francesca Gotsch; Samuel Edwin; Tinnakorn Chaiworapongsa; Offer Erez; Pooja Mittal; Shali Mazaki-Tovi; Eleazar Soto; Nandor Gabor Than; Lara A Friel; Bo Hyun Yoon; Jimmy Espinoza
Journal:  J Matern Fetal Neonatal Med       Date:  2007-12

4.  Peritransplant Soluble CD30 as a Risk Factor for Slow Kidney Allograft Function, Early Acute Rejection, Worse Long-Term Allograft Function, and Patients' Survival.

Authors:  Andriy V Trailin; Tetyana I Ostapenko; Tamara N Nykonenko; Svitlana N Nesterenko; Olexandr S Nykonenko
Journal:  Dis Markers       Date:  2017-06-11       Impact factor: 3.434

5.  A novel approach reveals that HLA class 1 single antigen bead-signatures provide a means of high-accuracy pre-transplant risk assessment of acute cellular rejection in renal transplantation.

Authors:  Nicole Wittenbrink; Sabrina Herrmann; Arturo Blazquez-Navarro; Chris Bauer; Eric Lindberg; Kerstin Wolk; Robert Sabat; Petra Reinke; Birgit Sawitzki; Oliver Thomusch; Christian Hugo; Nina Babel; Harald Seitz; Michal Or-Guil
Journal:  BMC Immunol       Date:  2019-04-27       Impact factor: 3.615

6.  Soluble CD30, the Immune Response, and Acute Rejection in Human Kidney Transplantation: A Systematic Review and Meta-Analysis.

Authors:  Mohammad Mirzakhani; Mehdi Shahbazi; Roghayeh Akbari; Ivana Dedinská; Eghlim Nemati; Mousa Mohammadnia-Afrouzi
Journal:  Front Immunol       Date:  2020-02-28       Impact factor: 7.561

  6 in total

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