Literature DB >> 17941957

Microarray analysis of rejection in human kidney transplants using pathogenesis-based transcript sets.

T F Mueller1, G Einecke, J Reeve, B Sis, M Mengel, G S Jhangri, S Bunnag, J Cruz, D Wishart, C Meng, G Broderick, B Kaplan, P F Halloran.   

Abstract

Microarrays offer potential for objective diagnosis and insights into pathogenesis of allograft rejection. We used mouse transplants to annotate pathogenesis-based transcript sets (PBTs) that reflect major biologic events in allograft rejection-cytotoxic T-cell infiltration, interferon-gamma effects and parenchymal deterioration. We examined the relationship between PBT expression, histopathologic lesions and clinical diagnoses in 143 consecutive human kidney transplant biopsies for cause. PBTs correlated strongly with one another, indicating that transcriptome disturbances in renal transplants have a stereotyped internal structure. This disturbance was continuous, not dichotomous, across rejection and nonrejection. PBTs correlated with histopathologic lesions and were the highest in biopsies with clinically apparent rejection episodes. Surprisingly, antibody-mediated rejection had changes similar to T-cell mediated rejection. Biopsies lacking PBT disturbances did not have rejection. PBTs suggested that some current Banff histopathology criteria are unreliable, particularly at the cut-off between borderline and rejection. Results were validated in 51 additional biopsies. Thus many transcriptome changes previously described in rejection are features of a large-scale disturbance characteristic of rejection but occurring at lower levels in many forms of injury. PBTs represent a quantitative measure of the inflammatory disturbances in organ transplants, and a new window on the mechanisms of these changes.

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Year:  2007        PMID: 17941957     DOI: 10.1111/j.1600-6143.2007.02005.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  62 in total

Review 1.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

Review 2.  Molecular diagnostics in transplantation.

Authors:  Maarten Naesens; Minnie M Sarwal
Journal:  Nat Rev Nephrol       Date:  2010-08-24       Impact factor: 28.314

3.  A molecular classifier for predicting future graft loss in late kidney transplant biopsies.

Authors:  Gunilla Einecke; Jeff Reeve; Banu Sis; Michael Mengel; Luis Hidalgo; Konrad S Famulski; Arthur Matas; Bert Kasiske; Bruce Kaplan; Philip F Halloran
Journal:  J Clin Invest       Date:  2010-05-24       Impact factor: 14.808

4.  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 5.  Integrative analysis of -omics data and histologic scoring in renal disease and transplantation: renal histogenomics.

Authors:  Paul Perco; Rainer Oberbauer
Journal:  Semin Nephrol       Date:  2010-09       Impact factor: 5.299

6.  C4d deposition without rejection correlates with reduced early scarring in ABO-incompatible renal allografts.

Authors:  Mark Haas; Dorry L Segev; Lorraine C Racusen; Serena M Bagnasco; Jayme E Locke; Daniel S Warren; Christopher E Simpkins; Diane Lepley; Karen E King; Edward S Kraus; Robert A Montgomery
Journal:  J Am Soc Nephrol       Date:  2008-09-05       Impact factor: 10.121

7.  Progressive histological damage in renal allografts is associated with expression of innate and adaptive immunity genes.

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

8.  Disappearance of T Cell-Mediated Rejection Despite Continued Antibody-Mediated Rejection in Late Kidney Transplant Recipients.

Authors:  Philip F Halloran; Jessica Chang; Konrad Famulski; Luis G Hidalgo; Israel D R Salazar; Maribel Merino Lopez; Arthur Matas; Michael Picton; Declan de Freitas; Jonathan Bromberg; Daniel Serón; Joana Sellarés; Gunilla Einecke; Jeff Reeve
Journal:  J Am Soc Nephrol       Date:  2014-11-06       Impact factor: 10.121

Review 9.  Assessing the human immune system through blood transcriptomics.

Authors:  Damien Chaussabel; Virginia Pascual; Jacques Banchereau
Journal:  BMC Biol       Date:  2010-07-01       Impact factor: 7.431

10.  Differentially expressed RNA from public microarray data identifies serum protein biomarkers for cross-organ transplant rejection and other conditions.

Authors:  Rong Chen; Tara K Sigdel; Li Li; Neeraja Kambham; Joel T Dudley; Szu-Chuan Hsieh; R Bryan Klassen; Amery Chen; Tuyen Caohuu; Alexander A Morgan; Hannah A Valantine; Kiran K Khush; Minnie M Sarwal; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

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