Literature DB >> 21160228

Urinary biomarkers in acute kidney transplant dysfunction.

Nada Alachkar1, Hamid Rabb, Bernard G Jaar.   

Abstract

BACKGROUND: Acute kidney injury (AKI) is a common medical problem among kidney transplant recipients, which may cause a significant impact on patient and allograft survival. Currently, an allograft biopsy remains the 'gold standard' for assessing the cause of impaired kidney function. Limitations of the allograft biopsy include the risk of bleeding, injury to the adjacent viscera, and the possibility of sampling error leading to an inadequate diagnosis.
METHODS: We conducted a comprehensive review of the literature and main published data that discussed the most relevant biomarkers in acute allograft dysfunction, along with their clinical significance.
RESULTS: There have been significant discoveries of several important biomarkers that correlated with biopsy findings, clinical outcomes and possibly graft survival.
CONCLUSION: The discovery of surrogate biomarkers in kidney transplantation is an evolving field of crucial importance that mandates further collaborative efforts.
Copyright © 2010 S. Karger AG, Basel.

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Year:  2010        PMID: 21160228     DOI: 10.1159/000321381

Source DB:  PubMed          Journal:  Nephron Clin Pract        ISSN: 1660-2110


  8 in total

1.  Use of surface-enhanced Raman scattering as a prognostic indicator of acute kidney transplant rejection.

Authors:  Jingmao Chi; Thet Zaw; Iliana Cardona; Mujtaba Hosnain; Neha Garg; Heather R Lefkowitz; Peter Tolias; Henry Du
Journal:  Biomed Opt Express       Date:  2015-02-10       Impact factor: 3.732

2.  Association between interferon gamma +874 T>A polymorphism and acute renal allograft rejection: evidence from published studies.

Authors:  Yu-Zheng Ge; Ran Wu; Rui-Peng Jia; Hao Liu; Peng Yu; Yan Zhao; Yu-Ming Feng
Journal:  Mol Biol Rep       Date:  2013-09-22       Impact factor: 2.316

3.  Neutrophil gelatinase-associated lipocalin is a sensitive biomarker for the early diagnosis of acute rejection after living-donor kidney transplantation.

Authors:  Junko Kohei; Hideki Ishida; Kazunari Tanabe; Tanabe Kazunari; Ken Tsuchiya; Kosaku Nitta
Journal:  Int Urol Nephrol       Date:  2012-11-17       Impact factor: 2.370

4.  Development and validation of an LC-MS/MS assay for the quantification of the trans-methylation pathway intermediates S-adenosylmethionine and S-adenosylhomocysteine in human plasma.

Authors:  Jacek Klepacki; Nina Brunner; Volker Schmitz; Jelena Klawitter; Uwe Christians; Jost Klawitter
Journal:  Clin Chim Acta       Date:  2013-03-13       Impact factor: 3.786

Review 5.  From Cells to Organs: The Present and Future of Regenerative Medicine.

Authors:  Yichen Wang; Yoon-Young Jang
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

6.  A comparison of the ability of levels of urinary biomarker proteins and exosomal mRNA to predict outcomes after renal transplantation.

Authors:  Philip W Peake; Timothy J Pianta; Lena Succar; Mangalee Fernando; Debbie J Pugh; Kathleen McNamara; Zoltan H Endre
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

7.  Predictive Values of Urinary Interleukin 18 and Neutrophil Gelatinase-Associated Lipocalin for Delayed Graft Function Diagnosis in Kidney Transplantation.

Authors:  Mojtaba Mojtahedzadeh; Farhad Etezadi; Javad Motaharinia; Amir Hossein Najafi Abrandabadi; Abdorasul Mehrsai; Shadi Ziaie; Soheil Saadat
Journal:  Iran J Pathol       Date:  2016

8.  Kidney transplant monitoring by urinary flow cytometry: Biomarker combination of T cells, renal tubular epithelial cells, and podocalyxin-positive cells detects rejection.

Authors:  Nina Goerlich; Hannah Antonia Brand; Valerie Langhans; Sebastian Tesch; Thomas Schachtner; Benjamin Koch; Alexander Paliege; Wolfgang Schneider; Andreas Grützkau; Petra Reinke; Philipp Enghard
Journal:  Sci Rep       Date:  2020-01-21       Impact factor: 4.379

  8 in total

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