Literature DB >> 19821091

Characterization of acute renal allograft rejection by human serum proteomic analysis.

Ying Gao1, Ke Wu, Yi Xu, Hongmin Zhou, Wentao He, Weina Zhang, Lanjun Cai, Xingguang Lin, Zemin Fang, Zhenlong Luo, Hui Guo, Zhonghua Chen.   

Abstract

To identify acute renal allograft rejection biomarkers in human serum, two-dimensional differential in-gel electrophoresis (2-D DIGE) and reversed phase high-performance liquid chromatography (RP-HPLC) followed by electrospray ionization mass spectrometry (ESI-MS) were used. Serum samples from renal allograft patients and normal volunteers were divided into three groups: acute rejection (AR), stable renal function (SRF) and normal volunteer (N). Serum samples were firstly processed using Multiple Affinity Removal Column to selectively remove the highest abundance proteins. Differentially expressed proteins were analyzed using 2-D DIGE. These differential protein spots were excised, digested by trypsin, and identified by RP-HPLC-ESI/MS. Twenty-two differentially expressed proteins were identified in serum from AR group. These proteins included complement C9 precursor, apolipoprotein A-IV precursor, vitamin D-binding protein precursor, beta-2-glycoprotein 1 precursor, etc. Vitamin D-binding protein, one of these proteins, was confirmed by ELISA in the independent set of serum samples. In conclusion, the differentially expressed proteins as serum biomarker candidates may provide the basis of acute rejection noninvasive diagnosis. Confirmed vitamin D-binding protein may be one of serum biomarkers of acute rejection. Furthermore, it may provide great insights into understanding the mechanisms and potential treatment strategy of acute rejection.

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Year:  2009        PMID: 19821091     DOI: 10.1007/s11596-009-0511-8

Source DB:  PubMed          Journal:  J Huazhong Univ Sci Technolog Med Sci        ISSN: 1672-0733


  25 in total

1.  Proteomic-based identification of cleaved urinary beta2-microglobulin as a potential marker for acute tubular injury in renal allografts.

Authors:  Stefan Schaub; John A Wilkins; Mihaela Antonovici; Oleg Krokhin; Tracey Weiler; David Rush; Peter Nickerson
Journal:  Am J Transplant       Date:  2005-04       Impact factor: 8.086

Review 2.  Transplantation proteomics.

Authors:  Avram Z Traum; Asher D Schachter
Journal:  Pediatr Transplant       Date:  2005-12

3.  Detection of acute tubulointerstitial rejection by proteomic analysis of urinary samples in renal transplant recipients.

Authors:  Stefan Wittke; Marion Haubitz; Michael Walden; Frank Rohde; Anke Schwarz; Michael Mengel; Harald Mischak; Hermann Haller; Wilfried Gwinner
Journal:  Am J Transplant       Date:  2005-10       Impact factor: 8.086

4.  Evaluation of biomarker discovery approaches to detect protein biomarkers of acute renal allograft rejection.

Authors:  Hans Voshol; Nathalie Brendlen; Dieter Müller; Bruno Inverardi; Angélique Augustin; Charles Pally; Grazyna Wieczorek; Randall E Morris; Friedrich Raulf; Jan van Oostrum
Journal:  J Proteome Res       Date:  2005 Jul-Aug       Impact factor: 4.466

Review 5.  Proteomic research in renal transplantation.

Authors:  William Clarke
Journal:  Ther Drug Monit       Date:  2006-02       Impact factor: 3.681

6.  Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome.

Authors:  Junmin Peng; Joshua E Elias; Carson C Thoreen; Larry J Licklider; Steven P Gygi
Journal:  J Proteome Res       Date:  2003 Jan-Feb       Impact factor: 4.466

Review 7.  Immunomodulation by 1,25-dihydroxyvitamin D3: therapeutic implications in hemodialysis and renal transplantation.

Authors:  C Mathieu; M Jafari
Journal:  Clin Nephrol       Date:  2006-10       Impact factor: 0.975

8.  Chronic allograft failure in human renal transplantation: a multivariate risk factor analysis.

Authors:  A J McLaren; S V Fuggle; K I Welsh; D W Gray; P J Morris
Journal:  Ann Surg       Date:  2000-07       Impact factor: 12.969

Review 9.  New insights into the mechanisms of vitamin D action.

Authors:  Sylvia Christakos; Puneet Dhawan; Yan Liu; Xiaorong Peng; Angela Porta
Journal:  J Cell Biochem       Date:  2003-03-01       Impact factor: 4.429

10.  Vitamin D binding protein and the need for vitamin D in hemodialysis patients.

Authors:  Marijn M Speeckaert; Griet L Glorieux; Raymond Vanholder; Wim Van Biesen; Youri E Taes; Frédéric Clement; Charline Wehlou; Joris R Delanghe
Journal:  J Ren Nutr       Date:  2008-09       Impact factor: 3.655

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  6 in total

Review 1.  Profiling the proteome in renal transplantation.

Authors:  Tara K Sigdel; Sangho Lee; Minnie M Sarwal
Journal:  Proteomics Clin Appl       Date:  2011-04-26       Impact factor: 3.494

2.  Differentially expressed RNA from public microarray data identifies serum protein biomarkers for cross-organ transplant rejection and other conditions.

Authors:  Rong Chen; Tara K Sigdel; Li Li; Neeraja Kambham; Joel T Dudley; Szu-Chuan Hsieh; R Bryan Klassen; Amery Chen; Tuyen Caohuu; Alexander A Morgan; Hannah A Valantine; Kiran K Khush; Minnie M Sarwal; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

3.  Association of vitamin D binding protein polymorphism with long-term kidney allograft survival in Hispanic kidney transplant recipients.

Authors:  Don Vu; Prashant Sakharkar; Eglis Tellez-Corrales; Tariq Shah; Ian Hutchinson; David I Min
Journal:  Mol Biol Rep       Date:  2012-10-17       Impact factor: 2.316

4.  Comparison of Two ELISA Methods and Mass Spectrometry for Measurement of Vitamin D-Binding Protein: Implications for the Assessment of Bioavailable Vitamin D Concentrations Across Genotypes.

Authors:  Michelle R Denburg; Andrew N Hoofnagle; Samir Sayed; Jayanta Gupta; Ian H de Boer; Lawrence J Appel; Ramon Durazo-Arvizu; Krista Whitehead; Harold I Feldman; Mary B Leonard
Journal:  J Bone Miner Res       Date:  2016-06       Impact factor: 6.741

5.  Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology.

Authors:  Yue Zhang; Minglin Ou; Hua Lin; Liusheng Lai; Huaizhou Chen; Jiejing Chen; Weiguo Sui; Wen Xue; Ruohan Zhang; Qing Gan; Donge Tang; Xuyong Sun; Jianhui Dong; Qiang Yan; Yong Dai
Journal:  Mol Med Rep       Date:  2020-07-06       Impact factor: 2.952

6.  Stage II of Chronic Kidney Disease-A Tipping Point in Disease Progression?

Authors:  Lovorka Grgurevic; Rudjer Novak; Grgur Salai; Stela Hrkac; Marko Mocibob; Ivana Kovacevic Vojtusek; Mario Laganovic
Journal:  Biomedicines       Date:  2022-06-27
  6 in total

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