Literature DB >> 11792970

Soluble CD30 as a predictor of kidney graft outcome.

Steffen Pelzl1, Gerhard Opelz, Manfred Wiesel, Peter Schnülle, Constanze Schönemann, Bernd Döhler, Caner Süsal.   

Abstract

BACKGROUND: In the present study, we investigated whether the soluble form of CD30 (sCD30), a marker for T helper 2-type cytokine-producing T cells, is increased in sera of potential kidney graft recipients. We also investigated whether the pretransplantation serum sCD30 content is related to kidney graft survival.
METHODS: Pretransplantation sera of 844 cadaver kidney recipients from three transplant centers in Germany were tested for serum sCD30 content using a commercially available ELISA kit.
RESULTS: Kidney graft recipients showed a significantly higher serum sCD30 content than healthy controls (P<0.0001). High sCD30 serum content was associated with graft rejection. The 2-year graft survival rate in recipients with a high pretransplantation serum sCD30 was 68+/-6%, significantly lower than the 86+/-1% rate in recipients with a low sCD30 (P<0.0001). Importantly, high sCD30 was indicative of an increased risk of graft loss even in recipients without lymphocytotoxic alloantibodies.
CONCLUSION: These data show that an elevated pretransplantation serum sCD30 reflects an immune state that is detrimental for kidney graft survival.

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Year:  2002        PMID: 11792970     DOI: 10.1097/00007890-200201150-00002

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  8 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

Review 2.  Detecting adaptive immunity: applications in transplantation monitoring.

Authors:  Georg A Böhmig; Markus Wahrmann; Marcus D Säemann
Journal:  Mol Diagn Ther       Date:  2010-02-01       Impact factor: 4.074

Review 3.  Biomarkers to detect rejection after kidney transplantation.

Authors:  Vikas R Dharnidharka; Andrew Malone
Journal:  Pediatr Nephrol       Date:  2017-06-19       Impact factor: 3.714

Review 4.  Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.

Authors:  Madhav C Menon; Barbara Murphy; Peter S Heeger
Journal:  J Am Soc Nephrol       Date:  2017-01-06       Impact factor: 10.121

5.  Five-year clinical effects of donor bone marrow cells infusions in kidney allograft recipients: improved graft function and higher graft survival.

Authors:  Ghasem Solgi; Vijayakrishna Gadi; Biswajit Paul; Joannis Mytilineos; Gholamreza Pourmand; Abdolrasoul Mehrsai; Moslem Ranjbar; Mousa Mohammadnia; Behrouz Nikbin; Ali Akbar Amirzargar
Journal:  Chimerism       Date:  2013-05-31

6.  Soluble co-signaling molecules predict long-term graft outcome in kidney-transplanted patients.

Authors:  Susana G Melendreras; Pablo Martínez-Camblor; Aurora Menéndez; Cristina Bravo-Mendoza; Ana González-Vidal; Eliecer Coto; Carmen Díaz-Corte; Marta Ruiz-Ortega; Carlos López-Larrea; Beatriz Suárez-Álvarez
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

7.  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

8.  Immunological Alterations due to Hemodialysis Might Interfere with Early Complications in Renal Transplantation.

Authors:  Kristin Mai; Andreas Boldt; Hans-Michael Hau; Michael Kirschfink; Stephan Schiekofer; Frieder Keller; Joachim Beige; Athanassios Giannis; Ulrich Sack; Franz Maximilian Rasche
Journal:  Anal Cell Pathol (Amst)       Date:  2019-03-25       Impact factor: 2.916

  8 in total

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