Literature DB >> 17908279

Transcriptome analysis reveals heterogeneity in the injury response of kidney transplants.

K S Famulski1, G Broderick, G Einecke, K Hay, J Cruz, B Sis, M Mengel, P F Halloran.   

Abstract

We studied the transcripts that are increased by stress and injury in mouse kidney transplants, focusing on transcripts increased in parenchymal cells-injury and repair-induced transcripts (IRITs). We compared four types of stressed kidneys: isografts, allografts, host kidneys of mice with isografts and nontransplant kidneys with ischemic acute tubular necrosis (ATN). After excluding transcripts associated with infiltrating cells and interferon-gamma-induced transcripts, we defined 790 IRITs in isografts. IRITs were remarkably heterogeneous in timing and mechanisms. Some were increased in host as well as donor kidneys, reflecting systemic influences (wounding, anesthetic). Most reflected local stress, resembling changes in ATN despite the lack of ATN histopathology. Mathematical decomposition of IRIT expression patterns confirmed heterogeneity, separating IRIT changes into component subsets, with an early peak (day 1) showing systemic effects and late peaks that resembled ATN, manifested Tgf-ss1 effects and recapitulated embryonic development. In allografts IRITs were initially similar to isografts but diverged due to allogeneic injury. The allospecific induction of IRITs was T-cell-dependent but perforin-granzyme-independent, compatible with delayed type hypersensitivity. The alloresponse strikingly and selectively increased the late IRITs but not the IRITs that peak early, indicating that rejection triggers parenchymal responses similar to those in ATN.

Entities:  

Mesh:

Year:  2007        PMID: 17908279     DOI: 10.1111/j.1600-6143.2007.01980.x

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


  18 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

2.  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

3.  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 4.  Single-cell Transcriptomics and Solid Organ Transplantation.

Authors:  Andrew F Malone; Benjamin D Humphreys
Journal:  Transplantation       Date:  2019-09       Impact factor: 4.939

5.  Molecular phenotypes of acute kidney injury in kidney transplants.

Authors:  Konrad S Famulski; Declan G de Freitas; Chatchai Kreepala; Jessica Chang; Joana Sellares; Banu Sis; Gunilla Einecke; Michael Mengel; Jeff Reeve; Philip F Halloran
Journal:  J Am Soc Nephrol       Date:  2012-02-16       Impact factor: 10.121

6.  Fibrosis with inflammation at one year predicts transplant functional decline.

Authors:  Walter D Park; Matthew D Griffin; Lynn D Cornell; Fernando G Cosio; Mark D Stegall
Journal:  J Am Soc Nephrol       Date:  2010-09-02       Impact factor: 10.121

7.  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 8.  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

9.  Transplant-induced reactivation of murine cytomegalovirus immediate early gene expression is associated with recruitment of NF-κB and AP-1 to the major immediate early promoter.

Authors:  Xue-Feng Liu; Chunfa Jie; Zheng Zhang; Shixian Yan; Jiao-Jing Wang; Xueqiong Wang; Sunil Kurian; Daniel R Salomon; Michael Abecassis; Mary Hummel
Journal:  J Gen Virol       Date:  2016-01-20       Impact factor: 3.891

Review 10.  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

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