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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06026592
Other study ID # APHP230298
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date September 30, 2023
Est. completion date February 6, 2024

Study information

Verified date August 2023
Source Assistance Publique - Hôpitaux de Paris
Contact Pierre Dr GALICHON, MD-PhD
Phone 01 42 17 72 29
Email Pierre.galichon@aphp.fr
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Donor-derived cell-free DNA (dd-cfDNA) has been proposed as a potential diagnostic tool to monitor the rejection status of the kidney transplant. It has been suggested that dd-cfDNA is increasing in the blood of kidney transplant patient presenting a graft rejection. In this project, investigators proposed a different approach to predict and characterize kidney transplant rejection/dysfunction based on the quantification of epigenetic signatures present on the donor-cell-free DNA. In 2018, Moss et al. develops a deconvolution model capable of identifying the tissue origin of circulating DNA by taking advantage of its epigenetic properties. The study confirmed that the cell-free DNA circulating in healthy subjects comes mainly from blood cells and endothelial cells, but not from kidney cells. In this study, researchers investigate the evolution of blood renal-specific cell-free DNA amount in patient with chronic kidney disease before and after the transplantation surgery by testing a set of renal-specific epigenetic markers. The purpose of this study is to identify the biological noise of "native kidney" on renal-specific cell-free DNA and to compare it with signal coming from "transplanted kidney".


Description:

At the diagnostic level, routine monitoring of graft functionality after kidney transplantation relies on the use of non-specific markers, such as serum creatinine (allowing estimation of glomerular filtration rate or GFR) and proteinuria. Definitive diagnosis of renal allograft dysfunction still requires invasive allograft biopsy, which remains the gold standard for assessing graft status. The histopathological diagnosis of renal graft dysfunction is based on the Banff classification and makes it possible to examine the immune infiltrate and the cellular lesions of the graft to make a precise diagnosis. However, Renal biopsy has certain limitations: 1/ It is invasive for the patient, with associated complications, mainly hemorrhagic in 1 to 3.5% of cases; 2/ Its effectiveness in predicting early rejection (3 months) post-transplant remains controversial. A lack of patient benefit has been proven by several studies for screening biopsy; 3/ Histological analysis is subject to intra- and inter-observer variations; and 4/ it is an expensive examination due to the medical time required to perform and interpret the biopsy. The "donor-cell-free DNA (dd-cfDNA)" has been suggested as a diagnostic tool at the service of the graft. Analyzes based on molecular signatures on the circulating DNA of the donor (Single Polymorphism Nucleotide (SNP)) have made it possible to discriminate the circulating cell-free DNA from the transplanted kidney (from the donor) from the circulating cell-free DNA specific to the recipient. Data from several studies suggest that blood dd-cfDNA levels can detect rejection in heart, lung, liver and kidney allografts. First studied by multiplex qPCR and then NGS technologies, the SNPs present on the dd-cfDNA were then quantified by digital PCR techniques. In this study, investigators proposed a different approach to predict and characterize kidney transplant rejection/dysfunction based on the quantification of epigenetic signatures present on the donor-cell-free DNA. In 2018, Moss et al. develops a deconvolution model capable of identifying the tissue origin of circulating DNA by taking advantage of its epigenetic properties. The study confirmed that the cell-free DNA circulating in healthy subjects comes mainly from blood cells and endothelial cells, but not from kidney cells. In 2023, Loyfer et al. proposed a methylation atlas of more than 200 cells type and suggested that each cell has its own epigenetic signature that can be study in cell-free DNA. In this study, researchers investigate the evolution of blood renal-specific cell-free DNA amount in patient with chronic kidney disease before and after the transplantation surgery by testing a set of renal-specific epigenetic markers. The purpose of this study is to identify the biological noise of "native kidney" on renal-specific cell-free DNA and to compare it with signal coming from "transplanted kidney". Researchers hypothesize that the biological noise from "native kidney" in chronic kidney diseases is negligible compared to that of the post-transplantation graft. To investigate this hypothesis, investigators collect blood samples before and after transplant surgery to quantify kidney-specific cell-free DNA markers. They also proposed to quantify cell-free DNA markers of graft perfusion fluid to validate the specificity of renal markers and to study graft tissue damage during organ transport. Each renal-cell-free DNA sample is quantified by a proprietary technologies using a multiplex digital-PCR assay.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 30
Est. completion date February 6, 2024
Est. primary completion date January 30, 2024
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Age = 18 years old - With end-stage renal failure - Summoned for a kidney transplant at Pitié Salpêtrière Hospital - Having been informed of the study and not objecting to the study having given free and informed written consent for the genetic analysis - Benefiting from a social security scheme (excluding AME) Exclusion Criteria: Under legal protective measures (curatorship or guardianship, under judicial safeguard).

Study Design


Related Conditions & MeSH terms


Intervention

Genetic:
determination of circulating biomarkers of renal origin circulating biomarkers of renal origin
The extracted circulating DNA will be extracted and converted using the methylation kit. Finally, circulating DNA will be analyzed using the PCR mix developed by CGenetix, quantifying tubular and glomerular biomarkers (patented technology).

Locations

Country Name City State
France Nephrology-transplantation department Pitié-Salpétriêre hospital Paris

Sponsors (1)

Lead Sponsor Collaborator
Assistance Publique - Hôpitaux de Paris

Country where clinical trial is conducted

France, 

Outcome

Type Measure Description Time frame Safety issue
Primary Amount of renal circulating cell-free DNA The amount of renal-cell-free DNA (glomerular and tubular markers) will be measured 6 hours before the kidney transplant is performed and 12-24 hours after the kidney transplant by digital multiplex PCR 6 hours before kidney transplantation and 12 to 24 after transplantation surgery
Secondary Estimating the inter-individual variations of the free circulating methylome of renal origin in patients with end-stage chronic insufficiency The amount of renal-cell-free DNA (glomerular and tubular markers) measured will be compared between individuals. 6 hours before kidney transplantation and 12 to 24 after transplantation surgery
Secondary Identify by a method without a priori (methyl seq) specific markers of acute renal injury in terms of epigenetic signature Comparison of two biomarkers quantification methods (whole genome methyl-Sequencing and multiplex digital-PCR) 6 hours before kidney transplantation and 12 to 24 after transplantation surgery
Secondary Study the statistical association between the presence of free circulating methylated sequences of renal origin and the resumption of graft function Comparison of circulating free methylome of renal origin between the groups of patients with immediate recovery of function and delayed recovery of function (defined on the performance of a dialysis session in the first 7 days and on the reduction ratio serum creatinine between the 1st and 2nd day after the transplant). 7 day after the transplant
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