Detection of B-cell activating factor as a biomarker for antibody mediated rejection in transplant recipients
AssigneeWisconsin Alumni Research Foundation
InventorsDebra D. Bloom, Hans W. Sollinger, Arjang Djamali
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Abstract
The invention relates to methods, compositions, and kits for detection of biomarkers. In one embodiment, the invention relates to a method for detecting AMR biomarkers in a biological sample. In another embodiment, the invention relates to a method for detecting, monitoring, diagnosing and predicting antibody mediated rejection. In yet another embodiment, the invention relates to a method for monitoring a subject for antibody mediated rejection comprising detecting BAFF or a BAFF variant in a biological sample. In still another embodiment, the invention relates to a kit for detecting BAFF in a urine sample.
Claims8
A method for monitoring a subject for antibody mediated rejection comprising:
- (a) comparing an amount of B-cell activating factor (BAFF) in a urine sample obtained from a subject who has received a solid organ transplant to a reference value of BAFF in urine, wherein the reference value of BAFF in urine is from the subject prior to undergoing an organ transplant, and further wherein an increase in the amount of BAFF as compared to the reference value of BAFF in urine indicates the subject is experiencing antibody mediated rejection;
- and
- (b) administering a medication to the subject identified in step (a) as experiencing antibody mediated rejection, wherein the medication attenuates antibody mediated rejection.
A method for determining the success of an allograft comprising:
- (a) comparing an amount of B-cell activating factor (BAFF) in a urine sample obtained from a subject who has received an allograft procedure to a reference value of BAFF in urine, wherein an increase in the amount of BAFF as compared to the reference value of BAFF in urine increases the likelihood of a failed allograft;
- and
- (b) administering a medication to the subject identified in step (a) with an increased likelihood of a failed allograft.
Dependencies are inferred from the claim text.