Biomarkers for Early and Late Stage Chronic Allograft Nephropathy by Proteogenomic Profiling of Peripheral Blood

被引:62
作者
Kurian, Sunil M.
Heilman, Raymond
Mondala, Tony S.
Nakorchevsky, Aleksey
Hewel, Johannes A.
Campbell, Daniel
Robison, Elizabeth H.
Wang, Lin
Lin, Wen
Gaber, Lillian
Solez, Kim
Shidban, Hamid
Mendez, Robert
Schaffer, Randolph L.
Fisher, Jonathan S.
Flechner, Stuart M.
Head, Steve R.
Horvath, Steve
Yates, John R., III
Marsh, Christopher L.
Salomon, Daniel R.
机构
[1] Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA
[2] Mayo Clinic, Scottsdale, AZ
[3] DNA Microarray Core, The Scripps Research Institute, La Jolla, CA
[4] Department of Chemical Physiology, The Scripps Research Institute, La Jolla, CA
[5] Department of Biostatistics, University of California, Los Angeles, CA
[6] The Texas Medical Center, Houston, TX
[7] University of Alberta, Edmonton, AB
[8] St. Vincent Medical Center, Los Angeles, CA
[9] Scripps Center for Organ and Cell Transplantation, Scripps Health, La Jolla, CA
[10] Glickman Urological Institute, The Cleveland Clinic, Cleveland, OH
来源
PLOS ONE | 2009年 / 4卷 / 07期
关键词
D O I
10.1371/journal.pone.0006212
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Despite significant improvements in life expectancy of kidney transplant patients due to advances in surgery and immunosuppression, Chronic Allograft Nephropathy (CAN) remains a daunting problem. A complex network of cellular mechanisms in both graft and peripheral immune compartments complicates the non-invasive diagnosis of CAN, which still requires biopsy histology. This is compounded by non-immunological factors contributing to graft injury. There is a pressing need to identify and validate minimally invasive biomarkers for CAN to serve as early predictors of graft loss and as metrics for managing long-term immunosuppression. Methods: We used DNA microarrays, tandem mass spectroscopy proteomics and bioinformatics to identify genomic and proteomic markers of mild and moderate/severe CAN in peripheral blood of two distinct cohorts (n = 77 total) of kidney transplant patients with biopsy-documented histology. Findings: Gene expression profiles reveal over 2400 genes for mild CAN, and over 700 for moderate/severe CAN. A consensus analysis reveals 393 (mild) and 63 (moderate/severe) final candidates as CAN markers with predictive accuracy of 80% (mild) and 92% (moderate/severe). Proteomic profiles show over 500 candidates each, for both stages of CAN including 302 proteins unique to mild and 509 unique to moderate/severe CAN. Conclusions: This study identifies several unique signatures of transcript and protein biomarkers with high predictive accuracies for mild and moderate/ severe CAN, the most common cause of late allograft failure. These biomarkers are the necessary first step to a proteogenomic classification of CAN based on peripheral blood profiling and will be the targets of a prospective clinical validation study.
引用
收藏
页数:11
相关论文
共 39 条
  • [1] Banasik Miroslaw, 2006, Ann Transplant, V11, P7
  • [2] A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
    Bolstad, BM
    Irizarry, RA
    Åstrand, M
    Speed, TP
    [J]. BIOINFORMATICS, 2003, 19 (02) : 185 - 193
  • [3] Identification of a peripheral blood transcriptional biomarker panel associated with operational renal allograft tolerance
    Brouard, Sophie
    Mansfield, Elaine
    Braud, Christophe
    Li, Li
    Giral, Magali
    Hsieh, Szu-Chuan
    Baeten, Dominique
    Zhang, Meixia
    Ashton-Chess, Joanna
    Braudeau, Cecile
    Hsieh, Frank
    Dupont, Alexandre
    Pallier, Annaik
    Moreau, Anne
    Louis, Stephanie
    Ruiz, Catherine
    Salvatierra, Oscar
    Soulillou, Jean-Paul
    Sarwal, Minnie
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (39) : 15448 - 15453
  • [4] CALNE RY, 1978, LANCET, V2, P1323
  • [5] Characterization of renal allograft rejection by urinary proteomic analysis
    Clarke, W
    Silverman, BC
    Zhang, Z
    Chan, DW
    Klein, AS
    Molmenti, EP
    [J]. ANNALS OF SURGERY, 2003, 237 (05) : 660 - 664
  • [6] Chronic allograft neuropathy
    Colvin, RB
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2003, 349 (24) : 2288 - 2290
  • [7] Nephrotoxicity of immunosuppressive drugs: Long-term consequences and challenges for the future
    de Mattos, AM
    Olyaei, AJ
    Bennett, WM
    [J]. AMERICAN JOURNAL OF KIDNEY DISEASES, 2000, 35 (02) : 333 - 346
  • [8] Noninvasive discrimination of rejection in cardiac allograft recipients using gene expression profiling
    Deng, MC
    Eisen, HJ
    Mehra, MR
    Billingham, M
    Marboe, CC
    Berry, G
    Kobashigawa, J
    Johnson, FL
    Starling, RC
    Murali, S
    Pauly, DF
    Baron, H
    Wohlgemuth, JG
    Woodward, RN
    Klingler, TM
    Walther, D
    Lal, PG
    Rosenberg, S
    Hunt, S
    [J]. AMERICAN JOURNAL OF TRANSPLANTATION, 2006, 6 (01) : 150 - 160
  • [9] Comparison of discrimination methods for the classification of tumors using gene expression data
    Dudoit, S
    Fridlyand, J
    Speed, TP
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2002, 97 (457) : 77 - 87
  • [10] Cluster analysis and display of genome-wide expression patterns
    Eisen, MB
    Spellman, PT
    Brown, PO
    Botstein, D
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (25) : 14863 - 14868