BACKGROUND: Chronic allograft nephropathy (CAN) is a cause of graft loss. The multistage processes that result in CAN are poorly understood. Noninvasive assays for detecting allograft dysfunction and predicting long-term outcomes are a priority in transplantation (Tx). METHODS: Renal tissue from kidney transplant patients (KTP) with CAN (n=11) and normal kidneys (NK; n=7) were studied using microarrays. Markers resulting from the microarray analysis (transforming growth factor [TGF]-beta, epidermal growth factor receptor [EGFR], angiotensinogen [AGT]) were tested in urine (Ur) and peripheral blood (PB) samples from the CAN patients (collected at the biopsy time) using reverse-transcriptase real-time polymerase chain reaction. Ur and PB samples from long-term KTP with stable renal function (SRF; n=20) were used as control. RESULTS: Assuming unequal variances between CAN and NK, using a false discovery rate of 0.005, and running 1,000 of all possible permutations, 728 probe sets were differentially expressed. Genes related to fibrosis and extracellular matrix deposition (i.e., TGF-beta, laminin, gamma 2, metalloproteinases-9, and collagen type IX alpha 3) were up-regulated. Genes related to immunoglobulins, B cells, T-cell receptor, nuclear factor of activated T cells, and cytokine and chemokines receptors were also upregulated. EGFR and growth factor receptor activity (FGFR)2 were downregulated in CAN samples. AGT, EGFR, and TGF-beta levels were statistical different in urine but not in blood samples of CAN patients when compared to KTP with SRF (P<0.001, P=0.04, and P<0.001, respectively). CONCLUSIONS: Genes related to fibrosis, extracellular matrix deposition, and immune response were found up-regulated in CAN. Markers resulting from the microarray analysis were differentially expressed in Ur samples of the CAN patients and in concordance with the microarray profiles.
BACKGROUND:Chronic allograft nephropathy (CAN) is a cause of graft loss. The multistage processes that result in CAN are poorly understood. Noninvasive assays for detecting allograft dysfunction and predicting long-term outcomes are a priority in transplantation (Tx). METHODS: Renal tissue from kidney transplant patients (KTP) with CAN (n=11) and normal kidneys (NK; n=7) were studied using microarrays. Markers resulting from the microarray analysis (transforming growth factor [TGF]-beta, epidermal growth factor receptor [EGFR], angiotensinogen [AGT]) were tested in urine (Ur) and peripheral blood (PB) samples from the CAN patients (collected at the biopsy time) using reverse-transcriptase real-time polymerase chain reaction. Ur and PB samples from long-term KTP with stable renal function (SRF; n=20) were used as control. RESULTS: Assuming unequal variances between CAN and NK, using a false discovery rate of 0.005, and running 1,000 of all possible permutations, 728 probe sets were differentially expressed. Genes related to fibrosis and extracellular matrix deposition (i.e., TGF-beta, laminin, gamma 2, metalloproteinases-9, and collagen type IX alpha 3) were up-regulated. Genes related to immunoglobulins, B cells, T-cell receptor, nuclear factor of activated T cells, and cytokine and chemokines receptors were also upregulated. EGFR and growth factor receptor activity (FGFR)2 were downregulated in CAN samples. AGT, EGFR, and TGF-beta levels were statistical different in urine but not in blood samples of CAN patients when compared to KTP with SRF (P<0.001, P=0.04, and P<0.001, respectively). CONCLUSIONS: Genes related to fibrosis, extracellular matrix deposition, and immune response were found up-regulated in CAN. Markers resulting from the microarray analysis were differentially expressed in Ur samples of the CAN patients and in concordance with the microarray profiles.
Authors: Luis F Quintana; Josep M Campistol; Maria P Alcolea; Elisenda Bañon-Maneus; Amandaé Sol-González; Pedro R Cutillas Journal: Mol Cell Proteomics Date: 2009-04-07 Impact factor: 5.911
Authors: Maarten Naesens; Purvesh Khatri; Li Li; Tara K Sigdel; Matthew J Vitalone; Rong Chen; Atul J Butte; Oscar Salvatierra; Minnie M Sarwal Journal: Kidney Int Date: 2011-08-31 Impact factor: 10.612
Authors: Daniel G Maluf; Valeria R Mas; Kellie J Archer; Kenneth Yanek; Eric M Gibney; Anne L King; Adrian Cotterell; Robert A Fisher; Marc P Posner Journal: Mol Med Date: 2008 May-Jun Impact factor: 6.354
Authors: Sunil M Kurian; Raymond Heilman; Tony S Mondala; Aleksey Nakorchevsky; Johannes A Hewel; Daniel Campbell; Elizabeth H Robison; Lin Wang; Wen Lin; Lillian Gaber; Kim Solez; Hamid Shidban; Robert Mendez; Randolph L Schaffer; Jonathan S Fisher; Stuart M Flechner; Steve R Head; Steve Horvath; John R Yates; Christopher L Marsh; Daniel R Salomon Journal: PLoS One Date: 2009-07-10 Impact factor: 3.240