Literature DB >> 21107303

Effects of sample timing and treatment on gene expression in early acute renal allograft rejection.

Oliver P Günther1, David Lin, Robert F Balshaw, Raymond T Ng, Zsuzsanna Hollander, Janet Wilson-McManus, W Robert McMaster, Bruce M McManus, Paul A Keown.   

Abstract

BACKGROUND: We have shown that genomic biomarkers in peripheral blood provide evidence of early graft rejection and may offer an important option for posttransplant monitoring, and we are working to improve this signature to maximize assay performance.
METHODS: This clinical refinement study (n=79) used gene expression profiling in a case-control design to compare whole blood samples between normal subjects (n=20) and patients with (n=20) or without (n=39) biopsy-confirmed acute rejection (BCAR).
RESULTS: Gene expression in peripheral blood from subjects with BCAR before treatment differed significantly from that of normal subjects and transplant recipients without BCAR. Hierarchical clustering and principal component analysis showed that samples obtained 1 to 5 days after the start of treatment of BCAR were segregated across both groups before treatment or without BCAR and that this was closely related to the time lag between treatment and sampling. Genes differentially expressed during BCAR included FKSG49, LMAN2, NFYC, LIMK2, JUNB, NASP, MALAT1, ITGAX, HLA-J, FKBP1A, and RBMS1, and gene ontology analysis highlighted changes in networks related to cytoskeletal reorganization, apoptosis, and immune signaling, whereas after treatment change highlighted pathways of cellular metabolism, cell-cycle regulation, DNA damage, and apoptosis.
CONCLUSION: Gene expression in the peripheral blood is associated with BCAR, and the pattern of expression changes rapidly after treatment. This may offer a potential tool for diagnosis of rejection and immunologic monitoring of response to treatment, which is now being evaluated in a large multicenter international study.

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Year:  2011        PMID: 21107303     DOI: 10.1097/TP.0b013e3182029b16

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  3 in total

1.  Proteins Associated with Risk of Kidney Function Decline in the General Population.

Authors:  Morgan E Grams; Aditya Surapaneni; Jingsha Chen; Linda Zhou; Zhi Yu; Diptavo Dutta; Paul A Welling; Nilanjan Chatterjee; Jingning Zhang; Dan E Arking; Teresa K Chen; Casey M Rebholz; Bing Yu; Pascal Schlosser; Eugene P Rhee; Christie M Ballantyne; Eric Boerwinkle; Pamela L Lutsey; Thomas Mosley; Harold I Feldman; Ruth F Dubin; Peter Ganz; Hongzhe Lee; Zihe Zheng; Josef Coresh
Journal:  J Am Soc Nephrol       Date:  2021-09       Impact factor: 14.978

2.  Gene-Specific Intron Retention Serves as Molecular Signature that Distinguishes Melanoma from Non-Melanoma Cancer Cells in Greek Patients.

Authors:  Aikaterini F Giannopoulou; Eumorphia G Konstantakou; Athanassios D Velentzas; Socratis N Avgeris; Margaritis Avgeris; Nikos C Papandreou; Ilianna Zoi; Vicky Filippa; Stamatia Katarachia; Antonis D Lampidonis; Anastasia Prombona; Popi Syntichaki; Christina Piperi; Efthimia K Basdra; Vassiliki Iconomidou; Evangelia Papadavid; Ema Anastasiadou; Issidora S Papassideri; Athanasios G Papavassiliou; Gerassimos E Voutsinas; Andreas Scorilas; Dimitrios J Stravopodis
Journal:  Int J Mol Sci       Date:  2019-02-21       Impact factor: 5.923

3.  A computational pipeline for the development of multi-marker bio-signature panels and ensemble classifiers.

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

  3 in total

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