STAART: Personalization of Immunosuppressive Treatment for Organ Transplant Recipients

Sponsor
George Washington University (Other)
Overall Status
Suspended
CT.gov ID
NCT05747053
Collaborator
CareDx (Industry), VirginiaBio Analytics, LLC (Other)
105
1
1
40
2.6

Study Details

Study Description

Brief Summary

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 Design

Study Type:
Interventional
Actual Enrollment :
105 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Diagnostic
Official Title:
Surveillance Testing Utilizing AlloSure to Assess Rejection Following Transplantation and Personalization of Immunosuppressive Therapy
Actual Study Start Date :
Oct 1, 2020
Anticipated Primary Completion Date :
Dec 31, 2023
Anticipated Study Completion Date :
Jan 31, 2024

Arms and Interventions

Arm Intervention/Treatment
Experimental: AlloSure Assay prediction of Anti-body Mediated Rejection

Determine whether AlloSure predicts the incidence of active, chronic Anti-body Mediated Rejection and cellular rejection in high risk patients

Diagnostic Test: AlloSure
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.

Diagnostic Test: PAXGene
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.

Outcome Measures

Primary Outcome Measures

  1. AlloSure value change [post-operation day 1 and four. Pos-operation months 1, 2, 3,4,5,6]

    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.

  2. PAXGene, [1 PAXgene tube will be collected 3 months post operation]

    The test will be used to develop an algorithm to personalize immunosuppressive medication intake.

  3. PAXGene [1 PAXgene tube will be collected one year post operation]

    The test will be used to develop an algorithm to personalize immunosuppressive medication intake.

Secondary Outcome Measures

  1. Exploring the association between Cytochrome P450 (CYP) expression and Donor-Derived Cell-Free DNA (dd-cfDNA) [post-operation day 1]

    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.

  2. Exploring the association between CYP expression and dd-cfDNA [post-operation day 4]

    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.

  3. Exploring the association between CYP expression and dd-cfDNA [post-operation month 1]

    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.

  4. Exploring the association between CYP expression and dd-cfDNA [post-operation month 2]

    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.

  5. Exploring the association between CYP expression and dd-cfDNA [post-operation month 3]

    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.

  6. Exploring the association between CYP expression and dd-cfDNA [post-operation month 4]

    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.

  7. Exploring the association between CYP expression and dd-cfDNA [post-operation month 5]

    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.

  8. Exploring the association between CYP expression and dd-cfDNA [post-operation month 6]

    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.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 80 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Adult 18-80 year old

  • Kidney transplant recipients (de novo or re-transplant, from living or deceased donor)

  • BMI over 30

  • Recipients with pre formed human leukocyte antigens (HLA) antibodies

  • Recipients with donor specific antibodies

  • Recipients who have undergone blood type incompatible transplantation (ABO incompatible)

  • Recipients who have had prior kidney transplants.

Exclusion Criteria:
  • Multi-Visceral transplant (simultaneous kidney pancreas, liver kidney, heart kidney)

  • Contraindication to renal biopsy

  • Refusing biopsy

  • Kidney transplant recipient that is a monozygotic twin to the donor

  • When more than two genomes may be present in the recipient plasma (more than recipient

  • donor): pregnancy, multiple-organ transplants from different donors (kidney after heart, kidney after liver transplant etc.), recipients of allogeneic blood or bone marrow transplant who have received cells with a genome different from the recipient (e.g. non-monozygotic twin)

Contacts and Locations

Locations

Site City State Country Postal Code
1 George Washington University Washington District of Columbia United States 20037

Sponsors and Collaborators

  • George Washington University
  • CareDx
  • VirginiaBio Analytics, LLC

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Keith Melancon, Principal Investigator, George Washington University
ClinicalTrials.gov Identifier:
NCT05747053
Other Study ID Numbers:
  • NCR191914
First Posted:
Feb 28, 2023
Last Update Posted:
Feb 28, 2023
Last Verified:
Feb 1, 2023
Individual Participant Data (IPD) Sharing Statement:
Undecided
Plan to Share IPD:
Undecided
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
Yes
Product Manufactured in and Exported from the U.S.:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Feb 28, 2023