Literature DB >> 16251238

Expression of surfactant protein-C, S100A8, S100A9, and B cell markers in renal allografts: investigation of the prognostic value.

Michael Eikmans1, Marian C Roos-van Groningen, Yvo W J Sijpkens, Jan Ehrchen, Johannes Roth, Hans J Baelde, Ingeborg M Bajema, Johan W de Fijter, Emile de Heer, Jan A Bruijn.   

Abstract

The intent of this study was to identify genes of which expression during acute rejection is associated with progression to chronic allograft nephropathy using gene expression profiling. Ten patients who had graft loss through chronic allograft nephropathy (progression [PR] group) and 18 patients who had stable graft function over time (nonprogression [NP] group) were studied. Rejection severity and extent of infiltrating leukocytes in acute rejection biopsies were similar for both groups. Microarray analysis and real-time PCR validation showed that surfactant protein-C (SP-C), S100 calcium-binding protein A8 (S100A8), S100A9, and beta-globin levels distinguished the two groups. Relationship between expression of B cell markers and prognosis was also examined. Location in the graft of the protein and mRNA expression of candidate genes was investigated. The prognostic value of mRNA transcripts was tested in an independent cohort of 43 rejection biopsies. mRNA and protein expression of S100A8 and S100A9 in infiltrating cells was significantly higher in the NP group compared with the PR group. Expression of SP-C was four-fold higher in the PR group and was detected in glomeruli. No association between B cell clusters and outcome was found. In the second group of acute rejection biopsies, SP-C mRNA levels predicted renal function course beyond 6 mo in multivariate analysis. Relatively high expression of S100A8 and S100A9 during acute rejection is associated with a favorable prognosis, and high SP-C expression is associated with an unfavorable prognosis. Messenger RNA transcripts complement the biopsy in the prediction of graft function deterioration.

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Year:  2005        PMID: 16251238     DOI: 10.1681/ASN.2005040412

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  21 in total

1.  Application of systems biology principles to protein biomarker discovery: urinary exosomal proteome in renal transplantation.

Authors:  Trairak Pisitkun; Maria T Gandolfo; Samarjit Das; Mark A Knepper; Serena M Bagnasco
Journal:  Proteomics Clin Appl       Date:  2012-06       Impact factor: 3.494

2.  Molecular correlates of renal function in kidney transplant biopsies.

Authors:  Sakarn Bunnag; Gunilla Einecke; Jeff Reeve; Gian S Jhangri; Thomas F Mueller; Banu Sis; Luis G Hidalgo; Michael Mengel; Daniel Kayser; Bruce Kaplan; Philip F Halloran
Journal:  J Am Soc Nephrol       Date:  2009-04-23       Impact factor: 10.121

Review 3.  Histopathological diagnosis of acute and chronic rejection in pediatric kidney transplantation.

Authors:  Verena Bröcker; Michael Mengel
Journal:  Pediatr Nephrol       Date:  2013-10-19       Impact factor: 3.714

4.  Urinary expression of kidney injury markers in renal transplant recipients.

Authors:  Cheuk-Chun Szeto; Bonnie Ching-Ha Kwan; Ka-Bik Lai; Fernand Mac-Moune Lai; Kai-Ming Chow; Gang Wang; Cathy Choi-Wan Luk; Philip Kam-Tao Li
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-29       Impact factor: 8.237

Review 5.  Dangers within: DAMP responses to damage and cell death in kidney disease.

Authors:  Diane L Rosin; Mark D Okusa
Journal:  J Am Soc Nephrol       Date:  2011-02-18       Impact factor: 10.121

6.  Molecular pathways involved in loss of kidney graft function with tubular atrophy and interstitial fibrosis.

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

Review 7.  Applying genomics to organ transplantation medicine in both discovery and validation of biomarkers.

Authors:  Sunil Kurian; Yevgeniy Grigoryev; Steve Head; Daniel Campbell; Tony Mondala; Daniel R Salomon
Journal:  Int Immunopharmacol       Date:  2007-08-09       Impact factor: 4.932

8.  Hemoglobin is expressed by mesangial cells and reduces oxidant stress.

Authors:  Hiroshi Nishi; Reiko Inagi; Hideki Kato; Masayuki Tanemoto; Ichiro Kojima; Daisuke Son; Toshiro Fujita; Masaomi Nangaku
Journal:  J Am Soc Nephrol       Date:  2008-04-30       Impact factor: 10.121

Review 9.  Role of TLRs and DAMPs in allograft inflammation and transplant outcomes.

Authors:  Faouzi Braza; Sophie Brouard; Steve Chadban; Daniel R Goldstein
Journal:  Nat Rev Nephrol       Date:  2016-03-30       Impact factor: 28.314

Review 10.  In praise of arrays.

Authors:  Lihua Ying; Minnie Sarwal
Journal:  Pediatr Nephrol       Date:  2008-06-21       Impact factor: 3.714

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