Literature DB >> 20147884

Transcriptome changes of chronic tubulointerstitial damage in early kidney transplantation.

Matthew J Vitalone1, Philip J O'Connell, Moses Wavamunno, Caroline L-S Fung, Jeremy R Chapman, Brian J Nankivell.   

Abstract

BACKGROUND: Tubulointerstitial damage (TID) is a key feature of chronic kidney transplant failure; however, the associated gene expression changes are poorly defined.
METHODS: This pilot study used RNA from 59 protocol kidney transplant biopsies at implantation, 1, 3, and 12 months (n=18 patients), processed into cDNA and hybridized to 8K human cDNA microarrays. Gene expression was correlated with graft histology categorized by the Banff schema.
RESULTS: Gene and pathway expression were differentially activated according to the time after transplantation. Immune pathway activity peaked at 1 month, fibrotic expression at 3 months, wound healing-remodelling and cell proliferation-repair processes were activated between 3 and 12 months, whereas macrophage-related gene expression occurred late by 12 months. Forty percent of genes and 50% pathways initially activated persisted to 3 months. Biopsies with TID displayed 262 differentially expressed genes (P<0.001, B>2 compared with implantation), dominated by upregulated fibrogenic and immune-related genes reflecting unique immune (10% to 15% of genes) and fibrotic (15% vs. 4% in normal) pathway activation. Profibrotic genes were expressed before interstitial fibrosis was observed by sequential microscopic analysis. Kidneys progressing to TID by 3 months demonstrated 30 unique genes (B>1, P<0.05) versus nonprogressors with 95 genes (B>1, P<0.009). Fourteen of these progressor genes also occurred in the top decile from an independent validation set.
CONCLUSIONS: Allografts display predictable immune and fibrotic gene expression profiles, with patterns of expression gradually varying by time after transplantation. The pathology reflects differential activation of intrinsic pathways. Gene expression predated histologic damage, suggesting its possible use in early diagnostic testing.

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Year:  2010        PMID: 20147884     DOI: 10.1097/TP.0b013e3181ca7389

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


  12 in total

1.  Transcriptional Perturbations in Graft Rejection.

Authors:  Matthew J Vitalone; Tara K Sigdel; Nathan Salomonis; Reuben D Sarwal; Szu-Chuan Hsieh; Minnie M Sarwal
Journal:  Transplantation       Date:  2015-09       Impact factor: 4.939

2.  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

3.  Molecular diagnostics identifies risks for graft dysfunction despite borderline histologic changes.

Authors:  Petra Hrubá; Irena Brabcová; Faikah Gueler; Zdeněk Krejčík; Viktor Stránecký; Eva Svobodová; Jana Malušková; Wilfried Gwinner; Eva Honsová; Alena Lodererová; Rainer Oberbauer; Roman Zachoval; Ondřej Viklický
Journal:  Kidney Int       Date:  2015-07-15       Impact factor: 10.612

4.  Genomic-derived markers for early detection of calcineurin inhibitor immunosuppressant-mediated nephrotoxicity.

Authors:  Yuxia Cui; Qihong Huang; James Todd Auman; Brian Knight; Xidong Jin; Kerry T Blanchard; Jeff Chou; Supriya Jayadev; Richard S Paules
Journal:  Toxicol Sci       Date:  2011-08-24       Impact factor: 4.849

5.  Relationships among injury, fibrosis, and time in human kidney transplants.

Authors:  Jeffery M Venner; Konrad S Famulski; Jeff Reeve; Jessica Chang; Philip F Halloran
Journal:  JCI Insight       Date:  2016-01-21

Review 6.  Kidney Fibrosis: Origins and Interventions.

Authors:  Thomas Vanhove; Roel Goldschmeding; Dirk Kuypers
Journal:  Transplantation       Date:  2017-04       Impact factor: 4.939

Review 7.  Molecular assessment of disease states in kidney transplant biopsy samples.

Authors:  Philip F Halloran; Konrad S Famulski; Jeff Reeve
Journal:  Nat Rev Nephrol       Date:  2016-06-27       Impact factor: 28.314

Review 8.  The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.

Authors:  Madhav C Menon; Karen L Keung; Barbara Murphy; Philip J OʼConnell
Journal:  Transplantation       Date:  2016-07       Impact factor: 4.939

Review 9.  Chronic Allograft Injury.

Authors:  Eric Langewisch; Roslyn B Mannon
Journal:  Clin J Am Soc Nephrol       Date:  2021-04-05       Impact factor: 8.237

10.  Identifying Biomarkers from Transcriptomic Signatures in Renal Allograft Biopsies Using Deceased and Living Donors.

Authors:  Bin Yang; Nicolas Sylvius; Jinli Luo; Cheng Yang; Zhanyun Da; Charlottelrm Crotty; Michael L Nicholson
Journal:  Front Immunol       Date:  2021-07-01       Impact factor: 7.561

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