Literature DB >> 12923448

Microarray-based gene expression profiles of allograft rejection and immunosuppression in the rat heart transplantation model.

Laurie M Erickson1, Fan Pan, Aaron Ebbs, Masakazu Kobayashi, Hongsi Jiang.   

Abstract

BACKGROUND: Gene expression profiling has the potential to produce new insights into complex biologic systems. To test the value of complement DNA arrays in identifying pathways involved in organ transplant rejection, we examined the gene expression profiles of rat heart allografts from recipients treated with or without immunosuppression to prevent acute allograft rejection.
METHODS: Heterotopic heart transplantation was performed using ACI or Lewis donors and Lewis recipients. Recipients were treated with tacrolimus (Tac) or cyclosporine (CsA) at the equivalent effective doses, and graft hearts were harvested on days 3, 5, and 7. A commercial microarray was used to measure gene expression levels of 588 genes in day 5 grafts. Selected genes were analyzed by reverse transcriptase-polymerase chain reaction.
RESULTS: The expression levels of 118 genes were perturbed in the untreated allograft in comparison with the isograft control, of which 77 genes were categorized as candidate genes for Tac- or CsA-mediated immunosuppression or both, and 41 as genes associated with other pathways. Among the 77 candidate genes, 55 genes shared the same response to suppression by both drugs, including inducible nitric oxide synthase, interferon-gamma, and interferon regulatory factor 1. Drug-specific effects were observed in 22 genes: Fourteen genes were exclusively reversed by Tac and eight by CsA.
CONCLUSIONS: Gene expression profiling reveals a large variety of genes affected during acute rejection, indicating that multiple metabolic pathways, including immune and nonimmune responses, are involved in the local graft rejection events. The differences and similarities of the gene expression profiles relative to the two immunosuppressants may provide more detailed therapeutic approaches for optimal immunosuppression.

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Year:  2003        PMID: 12923448     DOI: 10.1097/01.TP.0000081398.65568.1B

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


  8 in total

Review 1.  Novel insights into lung transplant rejection by microarray analysis.

Authors:  Jeffrey D Lande; Jagadish Patil; Na Li; Todd R Berryman; Richard A King; Marshall I Hertz
Journal:  Proc Am Thorac Soc       Date:  2007-01

2.  Clinical correlation of nitric oxide levels with acute rejection in renal transplantation.

Authors:  John K Bellos; Despina N Perrea; Eleni Theodoropoulou; Ioannis Vlachos; Antonis Papachristodoulou; Alkiviadis I Kostakis
Journal:  Int Urol Nephrol       Date:  2010-10-19       Impact factor: 2.370

3.  Protosappanin A induces immunosuppression of rats heart transplantation targeting T cells in grafts via NF-kappaB pathway.

Authors:  Jian Wu; Maomao Zhang; Haibo Jia; Xingtao Huang; Qi Zhang; Jingbo Hou; Yu Bo
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2009-11-19       Impact factor: 3.000

4.  Gene expression profiling in acute allograft rejection: challenging the immunologic constant of rejection hypothesis.

Authors:  Tara L Spivey; Lorenzo Uccellini; Maria Libera Ascierto; Gabriele Zoppoli; Valeria De Giorgi; Lucia Gemma Delogu; Alyson M Engle; Jaime M Thomas; Ena Wang; Francesco M Marincola; Davide Bedognetti
Journal:  J Transl Med       Date:  2011-10-12       Impact factor: 5.531

5.  Comparison of whole blood and peripheral blood mononuclear cell gene expression for evaluation of the perioperative inflammatory response in patients with advanced heart failure.

Authors:  Galyna Bondar; Martin Cadeiras; Nicholas Wisniewski; Jetrina Maque; Jay Chittoor; Eleanor Chang; Maral Bakir; Charlotte Starling; Khurram Shahzad; Peipei Ping; Elaine Reed; Mario Deng
Journal:  PLoS One       Date:  2014-12-17       Impact factor: 3.240

6.  Biomarkers of Tolerance in Kidney Transplantation: Are We Predicting Tolerance or Response to Immunosuppressive Treatment?

Authors:  I Rebollo-Mesa; E Nova-Lamperti; P Mobillo; M Runglall; S Christakoudi; S Norris; N Smallcombe; Y Kamra; R Hilton; S Bhandari; R Baker; D Berglund; S Carr; D Game; S Griffin; P A Kalra; R Lewis; P B Mark; S Marks; I Macphee; W McKane; M G Mohaupt; R Pararajasingam; S P Kon; D Serón; M D Sinha; B Tucker; O Viklický; R I Lechler; G M Lord; M P Hernandez-Fuentes
Journal:  Am J Transplant       Date:  2016-08-08       Impact factor: 8.086

7.  Activation of counter-regulatory mechanisms in a rat renal acute rejection model.

Authors:  Bayram Edemir; Sunil M Kurian; Martin Eisenacher; Detlef Lang; Carsten Müller-Tidow; Gert Gabriëls; Daniel R Salomon; Eberhard Schlatter
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

8.  Impact of animal strain on gene expression in a rat model of acute cardiac rejection.

Authors:  Katherine J Deans; Peter C Minneci; Hao Chen; Steven J Kern; Carolea Logun; Sara Alsaaty; Kelly J Norsworthy; Stephanie M Theel; Joel D Sennesh; Jennifer J Barb; Peter J Munson; Robert L Danner; Michael A Solomon
Journal:  BMC Genomics       Date:  2009-06-24       Impact factor: 3.969

  8 in total

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