Cornell University

Thangamani Muthukumar

Manikkam Suthanthiran

Ruchuang Ding

Fabien Campagne

Joseph E Schwartz

Laurent Mesnard

This invention describes an allogenomics mismatch scoring method that estimates the genomic incompatibility between potential organ donors and a transplant recipient. The allogenomics method addresses immunological concerns and compares genotype information from matched, or potential, donors and recipients. The allogenomics method uses genomic data available before transplantation and predicts kidney graft function for greater than three years after transplantation. The strength of the inverse correlation between pre-transplantation genomic mismatches and transplant organ function increases with the time after transplantation: a low allogenomics mismatch score correlates with better acceptance and function of a donor transplant over time.

Method to match organ donors to recipients for transplantation

Measurement of mRNAs in urinary cells offers a noninvasive means of diagnosing fibrosis in kidneys. One aspect of the invention is a method that includes: (a) measuring quantities of vimentin mRNA, NKCC2 mRNA, and E-cadherin mRNA in a test sample of cells obtained from urine; and (b) determining whether the vimentin mRNA quantity is higher, the NKCC2 mRNA quantity is lower, or the E-cadherin mRNA is higher than in healthy urinary cells; and thereby detecting that the sample is a fibrotic kidney sample. Step (a) can also include measuring the quantity of RNA expressed by a housekeeping gene (e.g., 18S rRNA). The quantities of vimentin mRNA, NKCC2 mRNA, and E-cadherin mRNA can be normalized against the quantity of housekeeping gene RNA.

Non-invasive method of diagnosing renal fibrosis

Non-invasive methods for detecting, predicting, and/or monitoring differential diagnosis of kidney transplant dysfunction in kidney transplant patients are described.

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New York, NY, United States of America

Thangamani Muthukumar