Discovery and cross-validation of peripheral blood and renal biopsy gene expression signatures from ethnically diverse kidney transplant populations.
Carlucci G VenturaThomas WhisenantTerri GelbartDaisa S R DavidFabiana AgenaDaniel R SalomonCarlucci Gualberto VenturaSunil M KurianPublished in: American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons (2019)
We determined peripheral blood (PB) and biopsy (Bx) RNA expression signatures in a Brazilian and US cohort of kidney transplant patients. Phenotypes assigned by precise histology were: acute rejection (AR), interstitial fibrosis/tubular atrophy/chronic rejection (CR), excellent functioning transplants (TX), and glomerulonephritis recurrence (GN). Samples were analyzed on microarrays and profiles from each cohort were cross-validated on the other cohort with similar phenotypes. We discovered signatures for each tissue: (1) AR vs TX, (2) CR vs TX, and (3) GN vs TX using the Random Forests algorithm. We validated biopsies signatures of AR vs TX (area under the curve [AUC] 0.97) and CR vs TX (AUC 0.87). We also validated both PB and Bx signatures of AR vs TX and CR vs TX with varying degrees of accuracy. Several biological pathways were shared between AR and CR, suggesting similar rejection mechanisms in these 2 clinical phenotypes. Thus, we identified gene expression signatures for AR and CR in transplant patients and validated them in independent cohorts of significantly different racial/ethnic backgrounds. These results reveal that there are strong unifying immune mechanisms driving transplant diseases and identified in the signatures discovered in each cohort, suggesting that molecular diagnostics across populations are feasible despite ethnic and environmental differences.
Keyphrases
- gene expression
- genome wide
- peripheral blood
- end stage renal disease
- dna methylation
- newly diagnosed
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- heavy metals
- poor prognosis
- small molecule
- single cell
- risk assessment
- ultrasound guided
- single molecule
- deep learning
- hepatitis b virus
- acute respiratory distress syndrome
- patient reported
- binding protein
- nucleic acid
- high glucose