Kidney TransplantDART-RREGREFNCT06351488
Detection of Circulating Kidney DNA in Kidney Transplant Patients Facing an Episode of Graft Rejection
An observational study of Kidney Transplant and Rejection, run by Assistance Publique - Hôpitaux de Paris at 3 sites in France.
Trial summary
In France, 3,500 kidney transplants are carried out per year; and 40,000 people succeed in 2019 with a kidney transplant. Despite regular medical monitoring, nearly 30% of transplant patients will develop rejection. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Kidney Transplant, Rejection
- How many people
- 319 participants
- Where
- 3 sitesFrance
- Study dates
- 21 Aug 2024to 21 Jun 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Kidney transplant patients eligible for a solid biopsy
Who may be able to join
- Age ≥ 18 ans
- Patient living with at least one functioning kidney graft
- Summoned to perform a kidney biopsy for cause/indication at the Pitié Salpêtrière Hospital or at the Necker Hospital
- Having been informed of the study and not opposing the study
- Benefiting from a social security system (excluding AME)
Who cannot join
- Under legal protection measure (curatorship or guardianship, under judicial protection).
Trial locations and contacts
3 sites in 1 country. Contact the study team or a site near you to ask about taking part.
France3 sites, 2 recruiting
- Recruiting
Assistance Publique - Hôpitaux de Paris, Hôpital Necker
Paris, 75013
Dany Anglicheau, Pr, 0033 1 44 49 54 16, dany.anglicheau@aphp.fr
Anne Bissery, 0033 1 42 16 24 32, anne.bissery@aphp.fr
- Active, not recruiting
Assistance Publique - Hôpitaux de Paris, Pitié-Salpêtrière hospital
Paris, 75013
- Not yet recruiting
Assistance Publique - Hôpitaux de Paris, Hôpital Tenon
Paris, 75020
Laurent Mesnard, Pr, 1 56 01 65 02 ext. +33, laurent.mesnard@aphp.fr
Anne Bissery, 1 42 16 24 32 ext. +33, anne.bissery@aphp.fr
About this study
In France, 3,500 kidney transplants are carried out per year; and 40,000 people succeed in 2019 with a kidney transplant. Despite regular medical monitoring, nearly 30% of transplant patients will develop rejection. Currently, only solid biopsy of the graft makes it possible to establish the diagnosis of graft rejection, and to characterize its cellular origin based on the Banff classification.
Several studies have shown the possibility of identifying the tissue origin of DNA circulating in the blood, in healthy subjects, on the basis of the epigenetic properties of circulating DNA. In addition, in kidney transplant subjects, an increase in the quantity of circulating DNA originating from the graft in the blood and urine has been shown as well as an increase in urinary chemokine levels during renal dysfunction (notably dismiss). Thus, the company CGenetix in partnership with INSERM units 1155 and 1151 is developing a method to identify and characterize kidney transplant rejection early, through the detection of epigenetic biomarkers on circulating DNA targeting different fractions of the kidney (glomerular, tubular, peritubular capillary and vascular). The main objective is to study the diagnostic performance of the quantity of DNA of renal origin in kidney transplant patients in the blood and in the urine (expressed in copies/ml) for the diagnosis of type Rejection mediated by kidneys. antibody (ABMR) established by kidney graft biopsy (gold standard) and according to the Banff 2022 classification.
Read the detailed description
Kidney transplantation remains the standard treatment for patients with end-stage renal disease. It provides the patient with a better quality of life1 and a better chance of survival, for a reduced cost of care compared to dialysis. While more than 3,000 kidney transplants are carried out each year in France, more than 20,000 candidates are registered on the transplant waiting list, revealing a severe shortage of grafts. Limiting the degradation of the kidney graft would make it possible to avoid the return of patients to dialysis and limit the shortage of grafts.
At the diagnostic level, routine monitoring of graft functionality after kidney transplantation is based on the use of non-specific markers, such as serum creatinine (allowing the 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 evaluating graft status. The anatomopathological diagnosis of renal graft dysfunction is based on the Banff classification, and makes it possible to examine the immune infiltrate and cellular lesions of the graft in order to make a diagnosis on: 1-the presence of graft rejection or other attacks and 2- the anatomical compartment affected by the pathology: tubular, vascular, interstitial or glomerular.
The start-up CGenetix offers an original approach to predict and characterize renal graft rejection/dysfunction based on the quantification of epigenetic signatures present on donor-cell-free DNA. In 2018, Moss et al. are developing a deconvolution model capable of identifying the tissue origin of circulating DNA by taking advantage of its epigenetic properties. The study confirmed that the free DNA circulating in healthy subjects comes mainly from blood cells and endothelial cells, but not from kidney cells.
In this protocol, 319 kidney transplant patients will be recruited from the Renal Transplantation departments of Pitié-Salpêtrière and Necker. Patients will be recruited into the study at the time of their hospitalization for renal biopsy for cause/indication (inclusion visit). Urine and blood samples will be taken within 24 hours before the kidney biopsy is performed.
The quantities of circulating DNA of renal origin (total kidney biomarkers (x2), specific tubules (x2), specific glomeruli (x2), specific peritubular capillaries (x2) and specific arteriolar capillaries (x2)) will be determined by digital PCR and expressed in copy/ml in blood and urine samples.
The main evaluation criterion of the research is the area under the ROC curve of the ABMR type rejection prediction models according to renal biopsy and with as covariates of interest the quantities of circulating DNA of renal origin (kidney biomarkers total (x2), specific tubules (x2), specific glomeruli (x2), specific peritubular capillaries (x2) and specific arteriolar capillaries (x2)) determined by digital PCR and expressed in copy/ml in blood and urine The final objective of this study protocol consists of i) prospectively validating the performance of the diagnostic test proposed by CGenetix and its partners INSERM 1155 and 1151 and urinary chemokines to non-invasively diagnose acute renal graft rejection and ii ) study its ability to diagnose the different types of renal transplant rejection (ABMR, TCMR, Mixed, Without rejection) The research hypotheses are: i) an AUC ≥ 0.80 / Sensitivity and specificity ≥ 80% for each biomarker taken individually; ii) an AUC ≥ 0.85 / Sensitivity and specificity ≥ 85% for the multimodal prediction model.
- Conditions
- Kidney Transplant, Rejection
- Keywords
- Graft rejection, renal circulating DNA, performance of the diagnostic test
- Medical subject headings
- Rejection, Psychology
What is being measured
The primary outcome is the main question the study is designed to answer.
The area under the ROC curve for predictive models of all types of graft rejection, based on renal biopsy results and using levels of circulating renal DNA as variables of interest
The probability of all type graft rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PCR in blood or urine. and tested individually.
Measured: At the time of the biopsy for suspicion of graft rejection
Secondary outcomes (9)
The area under the ROC curve of AMBR rejection prediction models according to kidney biopsy and with renal circulating DNA quantities as variables of interest
The probability of ABMR rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PCR in blood or urine. and tested individually.
Measured: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of TCMR rejection prediction models according to kidney biopsy and with renal circulating DNA quantities as variables of interest
The probability of TCMR rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PCR in blood or urine. and tested individually.
Measured: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of mixed rejection prediction models according to kidney biopsy and with renal circulating DNA quantities as variables of interest
The probability of mixed rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PCR in blood or urine. and tested individually.
Measured: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of glomerulitis-type rejection prediction models (≥g1) according to kidney biopsy and with renal circulating DNA quantities as variables of interest
The probability of glomerulitis-type rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PCR in blood or urine. and tested individually.
Measured: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of tubulitis-type rejection prediction models (≥t1) according to kidney biopsy and with renal circulating DNA quantities as variables of interest
The probability of tubularitis-type rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PC
Measured: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of vascularitis-type rejection prediction models (≥v1) according to kidney biopsy and with renal circulating DNA quantities as variables of interest
The probability of vascularitis-type rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PCR in blood or urine. and tested individually.
Measured: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of capillaritis-type rejection prediction models (≥ptc1) according to kidney biopsy and with renal circulating DNA quantities as variables of interest
The probability of capillaritis-type rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PCR in blood or urine. and tested individually.
Measured: At the time of the biopsy for suspicion of graft rejection
Areas under the ROC curve of rejection prediction models according to renal biopsy and with as covariates of interest the quantities of urinary chemokines (CXCL9 and CXCL10) determined by ELISA and expressed in pg/mL in urine
The main endpoint of the research is the area under the ROC curve of the ABMR, TCMR, mixed rejection prediction models according to renal biopsy and with the quantities of urinary chemokines (CXCL9 and CXCL10) as covariates of interest. ) determined by ELISA and expressed in pg/mL in urine
Measured: At the time of the biopsy for suspicion of graft rejection
Areas under the ROC curve for models predicting the presence of a Banff lesion based on renal biopsy, with the levels of circulating DNA of renal origin
The main endpoint of the research is the area under the ROC curve of kidney-derived DNA in the blood and urine of kidney transplant recipients (expressed in copies/mL) for diagnosing the presence of a Banff lesion (Banff > 0 on one of the parameters), as determined by renal graft biopsy (gold standard).
Measured: At the time of the biopsy for suspicion of graft rejection
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Apr 2024
- Study start21 Aug 2024
- Primary completion21 Jun 2027 (estimated)
- Study completion21 Jun 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Kidney TransplantStudies of the same condition, open and under way.
- More trials run by Assistance Publique - Hôpitaux de ParisThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 319 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Assistance Publique - Hôpitaux de Paris
- Sponsor type
- University, hospital or other
- Collaborators
- CGenetix, Institut National de la Santé Et de la Recherche Médicale, France
- Responsible party
- Sponsor
- Investigators
- Pierre GALICHON, Pr, Principal investigator, Assistance Publique - Hôpitaux de Paris
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06351488
- Sponsor's protocol ID
- APHP231661
- Acronym
- DART-RREGREF
- Status last verified
- Aug 2026
- First submitted
- 2 Apr 2024
- Last updated
- 10 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 10 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Detection of Circulating Kidney DNA in Kidney Transplant Patients Facing an Episode of Graft Rejection
- ClinicalTrials.gov ID
- NCT06351488
- Acronym / sponsor ID
- DART-RREGREF / APHP231661
- Conditions
- Kidney Transplant, Rejection
- Keywords
- Graft rejection, renal circulating DNA, performance of the diagnostic test
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 319 participants (estimated)
- Lead sponsor
- Assistance Publique - Hôpitaux de ParisUniversity, hospital or other
- Collaborators
- CGenetix, Institut National de la Santé Et de la Recherche Médicale, France
- Study start
- 21 Aug 2024 (actual)
- Primary completion
- 21 Jun 2027 (estimated)
- Study completion
- 21 Jun 2027 (estimated)
- First posted
- 8 Apr 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
In France, 3,500 kidney transplants are carried out per year; and 40,000 people succeed in 2019 with a kidney transplant. Despite regular medical monitoring, nearly 30% of transplant patients will develop rejection. Currently, only solid biopsy of the graft makes it possible to establish the diagnosis of graft rejection, and to characterize its cellular origin based on the Banff classification.
Several studies have shown the possibility of identifying the tissue origin of DNA circulating in the blood, in healthy subjects, on the basis of the epigenetic properties of circulating DNA. In addition, in kidney transplant subjects, an increase in the quantity of circulating DNA originating from the graft in the blood and urine has been shown as well as an increase in urinary chemokine levels during renal dysfunction (notably dismiss). Thus, the company CGenetix in partnership with INSERM units 1155 and 1151 is developing a method to identify and characterize kidney transplant rejection early, through the detection of epigenetic biomarkers on circulating DNA targeting different fractions of the kidney (glomerular, tubular, peritubular capillary and vascular). The main objective is to study the diagnostic performance of the quantity of DNA of renal origin in kidney transplant patients in the blood and in the urine (expressed in copies/ml) for the diagnosis of type Rejection mediated by kidneys. antibody (ABMR) established by kidney graft biopsy (gold standard) and according to the Banff 2022 classification.
Detailed description
Kidney transplantation remains the standard treatment for patients with end-stage renal disease. It provides the patient with a better quality of life1 and a better chance of survival, for a reduced cost of care compared to dialysis. While more than 3,000 kidney transplants are carried out each year in France, more than 20,000 candidates are registered on the transplant waiting list, revealing a severe shortage of grafts. Limiting the degradation of the kidney graft would make it possible to avoid the return of patients to dialysis and limit the shortage of grafts.
At the diagnostic level, routine monitoring of graft functionality after kidney transplantation is based on the use of non-specific markers, such as serum creatinine (allowing the 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 evaluating graft status. The anatomopathological diagnosis of renal graft dysfunction is based on the Banff classification, and makes it possible to examine the immune infiltrate and cellular lesions of the graft in order to make a diagnosis on: 1-the presence of graft rejection or other attacks and 2- the anatomical compartment affected by the pathology: tubular, vascular, interstitial or glomerular.
The start-up CGenetix offers an original approach to predict and characterize renal graft rejection/dysfunction based on the quantification of epigenetic signatures present on donor-cell-free DNA. In 2018, Moss et al. are developing a deconvolution model capable of identifying the tissue origin of circulating DNA by taking advantage of its epigenetic properties. The study confirmed that the free DNA circulating in healthy subjects comes mainly from blood cells and endothelial cells, but not from kidney cells.
In this protocol, 319 kidney transplant patients will be recruited from the Renal Transplantation departments of Pitié-Salpêtrière and Necker. Patients will be recruited into the study at the time of their hospitalization for renal biopsy for cause/indication (inclusion visit). Urine and blood samples will be taken within 24 hours before the kidney biopsy is performed.
The quantities of circulating DNA of renal origin (total kidney biomarkers (x2), specific tubules (x2), specific glomeruli (x2), specific peritubular capillaries (x2) and specific arteriolar capillaries (x2)) will be determined by digital PCR and expressed in copy/ml in blood and urine samples.
The main evaluation criterion of the research is the area under the ROC curve of the ABMR type rejection prediction models according to renal biopsy and with as covariates of interest the quantities of circulating DNA of renal origin (kidney biomarkers total (x2), specific tubules (x2), specific glomeruli (x2), specific peritubular capillaries (x2) and specific arteriolar capillaries (x2)) determined by digital PCR and expressed in copy/ml in blood and urine The final objective of this study protocol consists of i) prospectively validating the performance of the diagnostic test proposed by CGenetix and its partners INSERM 1155 and 1151 and urinary chemokines to non-invasively diagnose acute renal graft rejection and ii ) study its ability to diagnose the different types of renal transplant rejection (ABMR, TCMR, Mixed, Without rejection) The research hypotheses are: i) an AUC ≥ 0.80 / Sensitivity and specificity ≥ 80% for each biomarker taken individually; ii) an AUC ≥ 0.85 / Sensitivity and specificity ≥ 85% for the multimodal prediction model.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Kidney transplant patients eligible for a solid biopsy
Key inclusion criteria (5 listed)
- Age ≥ 18 ans
- Patient living with at least one functioning kidney graft
- Summoned to perform a kidney biopsy for cause/indication at the Pitié Salpêtrière Hospital or at the Necker Hospital
- Having been informed of the study and not opposing the study
- Benefiting from a social security system (excluding AME)
Key exclusion criteria (1 listed)
- Under legal protection measure (curatorship or guardianship, under judicial protection).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
The area under the ROC curve for predictive models of all types of graft rejection, based on renal biopsy results and using levels of circulating renal DNA as variables of interest
Time frame: At the time of the biopsy for suspicion of graft rejection
The probability of all type graft rejection, established by kidney graft biopsy and according to the Banff 2022 classification, will be predicted with logistic regression models which will integrate the number of copies/ml of the 10 genes measured by PCR in blood or urine. and tested individually.
9 secondary outcomes
The area under the ROC curve of AMBR rejection prediction models according to kidney biopsy and with renal circulating DNA quantities as variables of interest
Time frame: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of TCMR rejection prediction models according to kidney biopsy and with renal circulating DNA quantities as variables of interest
Time frame: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of mixed rejection prediction models according to kidney biopsy and with renal circulating DNA quantities as variables of interest
Time frame: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of glomerulitis-type rejection prediction models (≥g1) according to kidney biopsy and with renal circulating DNA quantities as variables of interest
Time frame: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of tubulitis-type rejection prediction models (≥t1) according to kidney biopsy and with renal circulating DNA quantities as variables of interest
Time frame: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of vascularitis-type rejection prediction models (≥v1) according to kidney biopsy and with renal circulating DNA quantities as variables of interest
Time frame: At the time of the biopsy for suspicion of graft rejection
The area under the ROC curve of capillaritis-type rejection prediction models (≥ptc1) according to kidney biopsy and with renal circulating DNA quantities as variables of interest
Time frame: At the time of the biopsy for suspicion of graft rejection
Areas under the ROC curve of rejection prediction models according to renal biopsy and with as covariates of interest the quantities of urinary chemokines (CXCL9 and CXCL10) determined by ELISA and expressed in pg/mL in urine
Time frame: At the time of the biopsy for suspicion of graft rejection
Areas under the ROC curve for models predicting the presence of a Banff lesion based on renal biopsy, with the levels of circulating DNA of renal origin
Time frame: At the time of the biopsy for suspicion of graft rejection
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 10 Aug 2026.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Pierre GALICHON, Pr principal investigator
Assistance Publique - Hôpitaux de Paris
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Kidney Transplant and Rejection, run by Assistance Publique - Hôpitaux de Paris at 3 sites in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 10 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Pierre GALICHON, Pr (1 42 17 72 29 ext. +33, pierre.galichon@aphp.fr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The area under the ROC curve for predictive models of all types of graft rejection, based on renal biopsy results and using levels of circulating renal DNA as variables of interest (time frame: At the time of the biopsy for suspicion of graft rejection). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 10 Aug 2026.