| Literature DB >> 21136927 |
Aisling O'Riordan1, Olwyn Johnston, Tara McMorrow, Kieran Wynne, Patricia Maguire, John E Hegarty, Aidan McCormick, Alan J Watson, Gerard Cagney, William M Gallagher, Michael P Ryan.
Abstract
Chronic kidney disease (CKD) is a common complication post-orthotopic liver transplantation (OLT). Development of CKD is detected by monitoring serum urea and creatinine, however disease can occasionally be at an advanced stage before they become abnormal. Therefore, more accurate parameters are required. In order to identify novel biomarkers of CKD, serum was obtained from 47 OLT recipients with CKD (glomerular filtration rate <60 mL/min) and 23 with normal renal function (glomerular filtration rate >90 mL/min). Using the proteomic technique SELDI-TOF-MS, three protein biomarkers (55.6 kDa, 9.5 kDa and 11.4 kDa) were identified that, together, could stratify patients into cases or controls with a sensitivity and specificity of 93.6 and 91.3%, respectively. The area under the curve was 0.94. The primary splitter of the groups at 55.6 kDa was an alternative version of a molecule at 27.8 kDa, which was subsequently identified by 1-D SDS-PAGE and LC-ESI-MS/MS to be Apolipoprotein AI. Protein expression was shown to be reduced in CKD, by both ELISA (p = 0.057) and Western blot analysis (p = 0.003). Apolipoprotein AI is a novel, accurate marker of CKD post-OLT. It does require further validation in a large, more diverse patient population but could potentially improve detection of CKD.Entities:
Year: 2008 PMID: 21136927 DOI: 10.1002/prca.200780167
Source DB: PubMed Journal: Proteomics Clin Appl ISSN: 1862-8346 Impact factor: 3.494