The Scripps Research Institute

Northwestern University

Michael Abecassis

Sunil M Kurian

Daniel R Salomon

John J Friedewald

Phillip T Ordoukhanian

Josh Levitsky

Steve Head

Steven Robert Head

This disclosure provides methods of detecting sub-acute rejection and other categories of rejection in kidney transplant recipients using unique sets of gene expression markers.

Genome-wide classifiers for detection of subacute transplant rejection and other transplant conditions

By a genome-wide gene analysis of expression profiles of over 50,000 known or putative gene sequences in peripheral blood, the present inventors have identified a consensus set of gene expression-based molecular biomarkers associated with subclinical acute rejection (subAR). These genes sets are useful for diagnosis, prognosis, monitoring of subAR.

Gene expression profiles associated with sub-clinical kidney transplant rejection

By a genome-wide gene analysis of expression profiles of known or putative gene sequences in peripheral blood and biopsy samples, the present inventors have identified a consensus set of gene expression-based molecular biomarkers for distinguishing liver transplantation patients who have Acute Rejection (AR), Hepatitis C Virus Recurrence (HCV-R), both AR/HCV-R, or Acute Dysfunction No Rejection (ADNR). These molecular biomarkers are useful for diagnosis, prognosis and monitoring of liver transplantation patients.

Molecular signatures for distinguishing liver transplant rejections or injuries

Disclosed herein are methods of detecting, predicting or monitoring a status or outcome of a transplant in a transplant recipient.

Growing community of inventors

Highland Park, IL, United States of America

Michael Abecassis