Long-term graft failure rates continue to be unacceptably high despite the development of immunosuppressive drugs, underscoring the unmet need for robust prognostic biomarkers of allograft injury and failure. While rates of acute rejection (AR) continue to decrease, it remains the strongest predictor of long-term allograft survival, and so having a better understanding of factors predicting AR may contribute to more individualized patient care. Selecting optimum immunosuppressive dosage is another factor in personalizing kidney care. This project will study two areas of individualized kidney care: 1) assessing rejection by surveillance testing utilizing AlloSure, 2) developing an algorithm to select optimum immunosuppressive medication dosage.
Study Type
OBSERVATIONAL
Enrollment
105
AlloSure blood-draw at Post-operation day one and four, as well as one month, 2 months, 3, 9, 12, 15,18 and 24 months operation.
1 PAXgene tube will be collected with every biopsy performed and sent with the AlloSure test for the second 100 patients (patients 101-200). 21 gene markers will be sequenced by collecting 3 ml of blood.
George Washington University
Washington D.C., District of Columbia, United States
AlloSure value change
Examine if AlloSure predicts the incidence of active, chronic Active antibody mediated rejection (cAMR) and cellular rejection in high risk patients. This will be assessed through observing the changes in AlloSure values one draw after another.
Time frame: post-operation day 1 and four. Pos-operation months 1, 2, 3,4,5,6
PAXGene,
The test will be used to develop an algorithm to personalize immunosuppressive medication intake.
Time frame: 1 PAXgene tube will be collected 3 months post operation
PAXGene
The test will be used to develop an algorithm to personalize immunosuppressive medication intake.
Time frame: 1 PAXgene tube will be collected one year post operation
Exploring the association between Cytochrome P450 (CYP) expression and Donor-Derived Cell-Free DNA (dd-cfDNA)
Determine whether there is an association between CYP expression and dd-cfDNA in high risk patients and minority African American patients. CYP expression will be assessed with each AlloSure draw. We hypothesize that AlloSure will correlate with increased CYP expression.
Time frame: post-operation day 1
Exploring the association between CYP expression and dd-cfDNA
Determine whether there is an association between CYP expression and dd-cfDNA in high risk patients and minority African American patients. CYP expression will be assessed with each AlloSure draw. We hypothesize that Allosure will correlate with increased CYP expression.
Time frame: post-operation day 4
Exploring the association between CYP expression and dd-cfDNA
Determine whether there is an association between CYP expression and dd-cfDNA in high risk patients and minority African American patients. CYP expression will be assessed with each AlloSure draw. We hypothesize that Allosure will correlate with increased CYP expression.
Time frame: post-operation month 1
Exploring the association between CYP expression and dd-cfDNA
Determine whether there is an association between CYP expression and dd-cfDNA in high risk patients and minority African American patients. CYP expression will be assessed with each AlloSure draw. We hypothesize that Allosure will correlate with increased CYP expression.
Time frame: post-operation month 2
Exploring the association between CYP expression and dd-cfDNA
Determine whether there is an association between CYP expression and dd-cfDNA in high risk patients and minority African American patients. CYP expression will be assessed with each AlloSure draw. We hypothesize that Allosure will correlate with increased CYP expression.
Time frame: post-operation month 3
Exploring the association between CYP expression and dd-cfDNA
Determine whether there is an association between CYP expression and dd-cfDNA in high risk patients and minority African American patients. CYP expression will be assessed with each AlloSure draw. We hypothesize that Allosure will correlate with increased CYP expression.
Time frame: post-operation month 4
Exploring the association between CYP expression and dd-cfDNA
Determine whether there is an association between CYP expression and dd-cfDNA in high risk patients and minority African American patients. CYP expression will be assessed with each AlloSure draw. We hypothesize that Allosure will correlate with increased CYP expression.
Time frame: post-operation month 5
Exploring the association between CYP expression and dd-cfDNA
Determine whether there is an association between CYP expression and dd-cfDNA in high risk patients and minority African American patients. CYP expression will be assessed with each AlloSure draw. We hypothesize that Allosure will correlate with increased CYP expression.
Time frame: post-operation month 6
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