Literature DB >> 18620448

Prediction of acute cellular renal allograft rejection by urinary metabolomics using MALDI-FTMS.

Ji-Na Wang1, Ying Zhou, Tong-Yu Zhu, Xiangdong Wang, Yin-Long Guo.   

Abstract

The present study investigated small molecule analysis of urinary samples as a noninvasive method to detect acute cellular renal allograft rejection. Matrix-assisted laser desorption/ionization Fourier transform mass spectrometry (MALDI-FTMS) was used to analyze 15 urinary samples from transplant patients with different grades of biopsy showing improved clinical acute cellular rejection (ACR) and 24 urinary samples from 8 transplant patients without evidence of rejection. Seven small molecules demonstrated highly successful diagnostic performance (m/z): 278.1 (t = 3.398, p = 0.004), 293.0 (t = 2.169, p = 0.048), 294.1 (t = 2.154, p = 0.05), 382.2 (t = 2.961, p = 0.010), 383.3 (t = 2.270, p = 0.040), 402.2 (t = 2.994, p = 0.010), 424.0 (t = 2.644, p = 0.019). Kidney transplant patients with ACR could be distinguished from those without ACR using four individual small molecules with a specificity of 100%. In conclusion, the combination of MALDI-FTMS technology with a clear definition of patient groups can detect urine small molecule associated with ACR.

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Year:  2008        PMID: 18620448     DOI: 10.1021/pr800092f

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  17 in total

Review 1.  Molecular diagnostics in transplantation.

Authors:  Maarten Naesens; Minnie M Sarwal
Journal:  Nat Rev Nephrol       Date:  2010-08-24       Impact factor: 28.314

2.  Proteomic profiling of renal allograft rejection in serum using magnetic bead-based sample fractionation and MALDI-TOF MS.

Authors:  Weiguo Sui; Liling Huang; Yong Dai; Jiejing Chen; Qiang Yan; He Huang
Journal:  Clin Exp Med       Date:  2010-04-08       Impact factor: 3.984

Review 3.  Metabolomics: moving to the clinic.

Authors:  Anders Nordström; Rolf Lewensohn
Journal:  J Neuroimmune Pharmacol       Date:  2009-04-28       Impact factor: 4.147

Review 4.  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

5.  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

Review 6.  Biomarkers of immunosuppressant organ toxicity after transplantation: status, concepts and misconceptions.

Authors:  Uwe Christians; Jost Klawitter; Jelena Klawitter; Nina Brunner; Volker Schmitz
Journal:  Expert Opin Drug Metab Toxicol       Date:  2011-02       Impact factor: 4.481

7.  A pilot metabolic profiling study in serum of patients with chronic kidney disease based on (1) H-NMR-spectroscopy.

Authors:  Suwen Qi; Xin Ouyang; Linqian Wang; Wujian Peng; Jinli Wen; Yong Dai
Journal:  Clin Transl Sci       Date:  2012-08-07       Impact factor: 4.689

Review 8.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

Review 9.  The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.

Authors:  Madhav C Menon; Karen L Keung; Barbara Murphy; Philip J OʼConnell
Journal:  Transplantation       Date:  2016-07       Impact factor: 4.939

10.  Multivariate classification of urine metabolome profiles for breast cancer diagnosis.

Authors:  Younghoon Kim; Imhoi Koo; Byung Hwa Jung; Bong Chul Chung; Doheon Lee
Journal:  BMC Bioinformatics       Date:  2010-04-16       Impact factor: 3.169

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