Abstract: The present disclosure is directed to materials and methods for predicting and diagnosing acute rejection in liver transplant recipients. Methods of the disclosure are useful, in various embodiments, for adjusting or initiating therapies (e.g., immunosuppressive (IS) therapy) in patients who would benefit therefrom.

Abstract: Disclosed are methods for predicting, inhibiting, and treating chronic kidney disease (CKD) in a subject that that is preparing to undergo a liver transplant. The methods may include detecting a protein biomarker in a serum sample from the subject prior to the subject being administered a liver transplant procedure and/or after the subject has been administered the liver transplant procedure. Suitable protein markers for the disclosed methods may include but are not limited to osteopontin (OPN) and/or tissue inhibitor of metalloproteases 1 (TIMP1).

Abstract: 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.

Abstract: By a genome-wide gene analysis of expression profiles of known or putative gene sequences in kidney biopsy samples, the present inventors have identified a consensus set of gene expression-based molecular biomarkers for distinguishing kidney transplantation patients who have Acute Rejection (AR), Acute Dysfunction No Rejection (ADNR), Chronic Allograft Nephropathy (CAN), or Transplant Excellent/Normal (TX). These molecular biomarkers are useful for diagnosis, prognosis and monitoring of transplantation patients.

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

Abstract: 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.

Abstract: Disclosed are methods for predicting, inhibiting, and treating chronic kidney disease (CKD) in a subject that that is preparing to undergo a liver transplant. The methods may include detecting a protein biomarker in a serum sample from the subject prior to the subject being administered a liver transplant procedure and/or after the subject has been administered the liver transplant procedure. Suitable protein markers for the disclosed methods may include but are not limited to osteopontin (OPN) and/or tissue inhibitor of metalloproteases 1 (TIMP1).

Abstract: 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.

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

Abstract: By a genome-wide gene analysis of expression profiles of known or putative gene sequences in kidney biopsy samples, the present inventors have identified a consensus set of gene expression-based molecular biomarkers for distinguishing kidney transplantation patients who have Acute Rejection (AR), Acute Dysfunction No Rejection (ADNR), Chronic Allograft Nephropathy(CAN), or Transplant Excellent/Normal (TX). These molecular biomarkers are useful for diagnosis, prognosis and monitoring of transplantation patients.

Abstract: 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.

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