BACKGROUND: Acute graft rejection is an important clinical problem in renal transplantation and an adverse predictor for long-term graft survival. Peripheral blood biomarkers that provide evidence of early graft rejection may offer an important option for posttransplant monitoring, optimize the utility of graft biopsy, and permit timely and effective therapeutic intervention to minimize the graft damage. METHODS: In this feasibility study (n=58), we have used gene expression profiling in a case-control design to compare whole blood samples between normal subjects (n=20) and patients with (n=11) or without (n=22) biopsy-confirmed acute rejection (BCAR) or borderline changes (n=5). RESULTS: A total of 183 probe sets representing 160 genes were differentially expressed (false discovery rate [FDR] <0.01) between subjects with or without BCAR, from which linear discriminant analysis and cross-validation identified an initial gene signature of 24 probe sets, and a more refined set of 11 probe sets found to classify subject samples correctly. Cross-validation suggested an out-of-sample sensitivity of 73% and specificity of 91% for identification of samples with or without BCAR. An increase in classifier gene expression correlated closely with acute rejection during the first 3 months posttransplant. Biological evaluation indicated that the differentially expressed genes encompassed processes related to immune response, signal transduction, and cytoskeletal reorganization. CONCLUSION: Preliminary evidence indicates that gene expression in the peripheral blood may yield a relevant measure for the occurrence of BCAR and offer a potential tool for immunologic monitoring. These results now require confirmation in a larger cohort.
BACKGROUND: Acute graft rejection is an important clinical problem in renal transplantation and an adverse predictor for long-term graft survival. Peripheral blood biomarkers that provide evidence of early graft rejection may offer an important option for posttransplant monitoring, optimize the utility of graft biopsy, and permit timely and effective therapeutic intervention to minimize the graft damage. METHODS: In this feasibility study (n=58), we have used gene expression profiling in a case-control design to compare whole blood samples between normal subjects (n=20) and patients with (n=11) or without (n=22) biopsy-confirmed acute rejection (BCAR) or borderline changes (n=5). RESULTS: A total of 183 probe sets representing 160 genes were differentially expressed (false discovery rate [FDR] <0.01) between subjects with or without BCAR, from which linear discriminant analysis and cross-validation identified an initial gene signature of 24 probe sets, and a more refined set of 11 probe sets found to classify subject samples correctly. Cross-validation suggested an out-of-sample sensitivity of 73% and specificity of 91% for identification of samples with or without BCAR. An increase in classifier gene expression correlated closely with acute rejection during the first 3 months posttransplant. Biological evaluation indicated that the differentially expressed genes encompassed processes related to immune response, signal transduction, and cytoskeletal reorganization. CONCLUSION: Preliminary evidence indicates that gene expression in the peripheral blood may yield a relevant measure for the occurrence of BCAR and offer a potential tool for immunologic monitoring. These results now require confirmation in a larger cohort.
Authors: Pervinder Sagoo; Esperanza Perucha; Birgit Sawitzki; Stefan Tomiuk; David A Stephens; Patrick Miqueu; Stephanie Chapman; Ligia Craciun; Ruhena Sergeant; Sophie Brouard; Flavia Rovis; Elvira Jimenez; Amany Ballow; Magali Giral; Irene Rebollo-Mesa; Alain Le Moine; Cecile Braudeau; Rachel Hilton; Bernhard Gerstmayer; Katarzyna Bourcier; Adnan Sharif; Magdalena Krajewska; Graham M Lord; Ian Roberts; Michel Goldman; Kathryn J Wood; Kenneth Newell; Vicki Seyfert-Margolis; Anthony N Warrens; Uwe Janssen; Hans-Dieter Volk; Jean-Paul Soulillou; Maria P Hernandez-Fuentes; Robert I Lechler Journal: J Clin Invest Date: 2010-05-24 Impact factor: 14.808
Authors: Oliver P Günther; Heesun Shin; Raymond T Ng; W Robert McMaster; Bruce M McManus; Paul A Keown; Scott J Tebbutt; Kim-Anh Lê Cao Journal: OMICS Date: 2014-11
Authors: Gabriela V Cohen Freue; Mayu Sasaki; Anna Meredith; Oliver P Günther; Axel Bergman; Mandeep Takhar; Alice Mui; Robert F Balshaw; Raymond T Ng; Nina Opushneva; Zsuzsanna Hollander; Guiyun Li; Christoph H Borchers; Janet Wilson-McManus; Bruce M McManus; Paul A Keown; W Robert McMaster Journal: Mol Cell Proteomics Date: 2010-05-25 Impact factor: 5.911
Authors: Yevgeniy A Grigoryev; Sunil M Kurian; Zafi Avnur; Dominic Borie; Jun Deng; Daniel Campbell; Joanna Sung; Tania Nikolcheva; Anthony Quinn; Howard Schulman; Stanford L Peng; Randolph Schaffer; Jonathan Fisher; Tony Mondala; Steven Head; Stuart M Flechner; Aaron B Kantor; Christopher Marsh; Daniel R Salomon Journal: PLoS One Date: 2010-10-14 Impact factor: 3.240
Authors: Oliver P Günther; Virginia Chen; Gabriela Cohen Freue; Robert F Balshaw; Scott J Tebbutt; Zsuzsanna Hollander; Mandeep Takhar; W Robert McMaster; Bruce M McManus; Paul A Keown; Raymond T Ng Journal: BMC Bioinformatics Date: 2012-12-08 Impact factor: 3.169