Literature DB >> 24931031

Pre-transplant immune state defined by serum markers and alloreactivity predicts acute rejection after living donor kidney transplantation.

Florian W R Vondran1, Kai Timrott, Sonja Kollrich, Ann-Kristin Steinhoff, Alexander Kaltenborn, Harald Schrem, Juergen Klempnauer, Frank Lehner, Reinhard Schwinzer.   

Abstract

Acute rejection (AR) remains a major cause for long-term kidney allograft failure. Reliable immunological parameters suitable to define the pre-transplant immune state and hence the individual risk of graft rejection are highly desired to preferably adapt the immunosuppressive regimen in advance. Donor and third party alloreactivities were determined by mixed lymphocyte cultures. Soluble forms of CD25, CD30, and CD44 were detected in patients' serum by ELISA. Various lymphocyte subpopulations were measured using flow cytometry. All patients received triple immunosuppression (tacrolimus/mycophenolate mofetil/steroids) and were grouped according to biopsy results within the first year: rejection-free (RF, n = 13), borderline (BL, n = 5), or acute rejection (AR, n = 7). Patients with AR showed the highest pre-transplant alloreactivities and serum levels (sCD25/sCD30/sCD44) according to the pattern RF < BL < AR. Relying on serum analysis only, multivariate logistic regression (logit link function) yielded a prognostic score for prediction of rejection with 75.0% sensitivity and 69.2% specificity. Patients with rejection showed markedly higher pre-transplant frequencies of CD4(+) /CD8(+) T cells lacking CD28, but lower numbers of CD8(+) CD161(bright) T cells and NK cells than RF individuals. Pre-transplant immune state defined by alloreactivity, serum markers, and particular lymphocyte subsets seems to correlate with occurrence of graft rejection after kidney transplantation. A prognostic score based on pre-transplant serum levels has shown great potential for prediction of rejection episodes and should be further evaluated.
© 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  CD161; acute rejection; kidney transplantation; sCD25; sCD30; sCD44

Mesh:

Substances:

Year:  2014        PMID: 24931031     DOI: 10.1111/ctr.12399

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  4 in total

1.  Pretransplant transcriptomic signature in peripheral blood predicts early acute rejection.

Authors:  Weijia Zhang; Zhengzi Yi; Chengguo Wei; Karen L Keung; Zeguo Sun; Caixia Xi; Christopher Woytovich; Samira Farouk; Lorenzo Gallon; Madhav C Menon; Ciara Magee; Nader Najafian; Milagros D Samaniego; Arjang Djamali; Stephen I Alexander; Ivy A Rosales; Rex Neal Smith; Philip J O'Connell; Robert Colvin; Paolo Cravedi; Barbara Murphy
Journal:  JCI Insight       Date:  2019-06-06

2.  The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients.

Authors:  Samantha E Halpern; Dimitrios Moris; Brian I Shaw; Madison K Krischak; Danae G Olaso; Samuel J Kesseli; Kadiyala Ravindra; Lisa M McElroy; Andrew S Barbas
Journal:  In Vivo       Date:  2020 Nov-Dec       Impact factor: 2.155

3.  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

4.  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

  4 in total

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