TY - JOUR
T1 - Biomarkers for early and late stage chronic allograft nephropathy by proteogenomic profiling of peripheral blood
AU - Kurian, Sunil M.
AU - Heilman, Raymond
AU - Mondala, Tony S.
AU - Nakorchevsky, Aleksey
AU - Hewel, Johannes A.
AU - Campbell, Daniel
AU - Robison, Elizabeth H.
AU - Wang, Lin
AU - Lin, Wen
AU - Gaber, Lillian
AU - Solez, Kim
AU - Shidban, Hamid
AU - Mendez, Robert
AU - Schaffer, Randolph L.
AU - Fischer, Jonathan S.
AU - Flechner, Stuart M.
AU - Head, Steve R.
AU - Horvath, Steve
AU - Yates, John R.
AU - Marsh, Christopher L.
AU - Salomon, Daniel R.
PY - 2009/7/10
Y1 - 2009/7/10
N2 - 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.
AB - 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.
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U2 - 10.1371/journal.pone.0006212
DO - 10.1371/journal.pone.0006212
M3 - Article
C2 - 19593431
AN - SCOPUS:67650564908
SN - 1932-6203
VL - 4
JO - PLoS ONE
JF - PLoS ONE
IS - 7
M1 - e6212
ER -