Urinary transcriptomics reveals patterns associated with subclinical injury of the renal allograft

Biomark Med. 2018 May;12(5):427-438. doi: 10.2217/bmm-2017-0330. Epub 2018 Apr 26.

Abstract

Aim: Subclinical pathological features in renal allograft biopsies predict poor outcomes, and noninvasive biomarkers are wanted. RNA quantification in urine predicts overt rejection. We hypothesized that a whole transcriptome analysis would be informative, even for discrete injury.

Patients & methods: We performed an mRNA microarray with an optimized normalization method on 26 urinary cell pellets to study renal partial epithelial to mesenchymal transition (pEMT) in stable kidney allografts.

Results & conclusion: Unbiased pathway analysis revealed immune response as the main underlying biological process. In a subgroup of pristine biopsies, isolated pEMT was associated with reduced metabolic functions. Thus, pEMT translates into specific urinary mRNA patterns, in other words, increased inflammation and decreased metabolic functions. Deposited in Gene Expression Omnibus (GSE89652).

Keywords: mRNA normalization; transcriptomics; urinary biomarkers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acute Kidney Injury / etiology
  • Acute Kidney Injury / genetics*
  • Acute Kidney Injury / pathology
  • Acute Kidney Injury / urine*
  • Biopsy
  • Female
  • Gene Expression Profiling*
  • Humans
  • Kidney Transplantation / adverse effects*
  • Male
  • Middle Aged
  • Oligonucleotide Array Sequence Analysis