Literature DB >> 22343120

Molecular phenotypes of acute kidney injury in kidney transplants.

Konrad S Famulski1, Declan G de Freitas, Chatchai Kreepala, Jessica Chang, Joana Sellares, Banu Sis, Gunilla Einecke, Michael Mengel, Jeff Reeve, Philip F Halloran.   

Abstract

Little is known regarding the molecular phenotype of kidneys with AKI because biopsies are performed infrequently. However, all kidney transplants experience acute injury, making early kidney transplants an excellent model of acute injury, provided the absence of rejection, because donor kidneys should not have CKD, post-transplant biopsies occur relatively frequently, and follow-up is excellent typically. Here, we used histopathology and microarrays to compare indication biopsies from 26 transplants with acute injury with 11 pristine protocol biopsies of stable transplants. Kidneys with acute injury showed increased expression of 394 transcripts associated with the repair response to injury, including many epithelium-like injury molecules tissue, remodeling molecules, and inflammation molecules. Many other genes also predicted the phenotype, including the acute injury biomarkers HAVCR1 and IL18. Pathway analysis of the injury-repair transcripts revealed similarities to cancer, development, and cell movement. The injury-repair transcript score in kidneys with acute injury correlated with reduced graft function, future renal recovery, brain death, and need for dialysis, but not with future graft loss. In contrast, histologic features of acute tubular injury did not correlate with function or with the molecular changes. Thus, the transcripts associated with repair of injury suggest a massive coordinated response of the kidney parenchyma to acute injury, providing both an objective measure for assessing the severity of injury in kidney biopsies and validation for many biomarkers of AKI.

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Year:  2012        PMID: 22343120      PMCID: PMC3338297          DOI: 10.1681/ASN.2011090887

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  48 in total

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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

4.  Scoring total inflammation is superior to the current Banff inflammation score in predicting outcome and the degree of molecular disturbance in renal allografts.

Authors:  M Mengel; J Reeve; S Bunnag; G Einecke; G S Jhangri; B Sis; K Famulski; L Guembes-Hidalgo; P F Halloran
Journal:  Am J Transplant       Date:  2009-06-26       Impact factor: 8.086

Review 5.  Biomarkers in renal transplantation ischemia reperfusion injury.

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7.  alpha(v)beta(6) Integrin expression in diseased and transplanted kidneys.

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8.  Significance of the donor age effect on kidney transplants.

Authors:  P I Terasaki; D W Gjertson; J M Cecka; S Takemoto; Y W Cho
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Review 9.  Biomarkers for the diagnosis and risk stratification of acute kidney injury: a systematic review.

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10.  Acute tubular injury in protocol biopsies of renal grafts: prevalence, associated factors and effect on long-term function.

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Journal:  Am J Transplant       Date:  2008-06-28       Impact factor: 8.086

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Review 3.  Biomarkers to detect rejection after kidney transplantation.

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4.  Pericyte MyD88 and IRAK4 control inflammatory and fibrotic responses to tissue injury.

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5.  Transplant rejection and paradigms lost.

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6.  Multicenter evaluation of a standardized protocol for noninvasive gene expression profiling.

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Review 7.  Current status of alloimmunity.

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Review 9.  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

10.  Gene Expression in Biopsies of Acute Rejection and Interstitial Fibrosis/Tubular Atrophy Reveals Highly Shared Mechanisms That Correlate With Worse Long-Term Outcomes.

Authors:  B D Modena; S M Kurian; L W Gaber; J Waalen; A I Su; T Gelbart; T S Mondala; S R Head; S Papp; R Heilman; J J Friedewald; S M Flechner; C L Marsh; R S Sung; H Shidban; L Chan; M M Abecassis; D R Salomon
Journal:  Am J Transplant       Date:  2016-03-15       Impact factor: 8.086

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