Publications by authors named "Marc Raynaud"

Background: Proteinuria is associated with worse allograft outcomes in kidney transplant recipients (KTRs) and treatment strategies are limited. We examined the outcomes of calcineurin inhibitor (CNI) to belatacept conversion in proteinuric KTRs.

Methods: In a pilot phase II single-arm multicenter prospective trial, we recruited adult KTRs >6 months post-kidney transplantation with an estimated glomerular filtration rate (eGFR) ≥30 ml/min/1.

View Article and Find Full Text PDF

Donor-derived cell-free DNA (dd-cfDNA) is an emerging non-invasive biomarker for allograft injury detection. This study aimed to evaluate a new, decentralized dd-cfDNA testing kit against a centralized dd-cfDNA testing service broadly utilized in the United States. Kidney transplant recipients with decentralized and centralized dd-cfDNA measurements and concomitant kidney allograft biopsies were included in the study.

View Article and Find Full Text PDF

Background: The heterogeneous clinical presentation of graft microvascular inflammation poses a major challenge to successful kidney transplantation. The effect of microvascular inflammation on allograft outcomes is unclear.

Methods: We conducted a cohort study that included kidney-transplant recipients from more than 30 transplantation centers in Europe and North America who had undergone allograft biopsy between 2004 and 2023.

View Article and Find Full Text PDF

Background: In kidney transplantation, molecular diagnostics may be a valuable approach to improve the precision of the diagnosis. Using next-generation sequencing (NGS), we aimed to identify clinically relevant archetypes.

Methods: We conducted an Illumina bulk RNA sequencing on 770 kidney biopsies (540 kidney recipients) collected between 2006 and 2021 from 11 European centers.

View Article and Find Full Text PDF
Article Synopsis
  • The study investigates how competing risks, like allograft failure and death with a functioning graft, affect the performance of prognostic models used for kidney transplant recipients.
  • The research involves 11,046 kidney transplant recipients across 10 countries, developing models using various regression techniques to predict long-term graft failure while carefully evaluating their accuracy and reliability.
  • Results indicate that both standard Cox models and competing risk models provide similar predictions for graft failure, with high concordance indices, confirming their usefulness in clinical settings.
View Article and Find Full Text PDF

Non-invasive biomarkers are promising tools for improving kidney allograft rejection monitoring, but their clinical adoption requires more evidence in specifically designed studies. To address this unmet need, we designed the EU-TRAIN study, a large prospective multicentric unselected cohort funded by the European Commission. Here, we included consecutive adult patients who received a kidney allograft in nine European transplant centers between November 2018 and June 2020.

View Article and Find Full Text PDF
Article Synopsis
  • There is increasing interest in analyzing kidney biopsies through transcriptomic assessments to understand gene expression changes related to rejection.
  • This study used next-generation sequencing (NGS) on RNA from 770 kidney biopsies to identify differentially expressed genes (DEGs) associated with antibody-mediated rejection (AMR) and T cell-mediated rejection (TCMR), revealing 603 and 1,186 new specific genes, respectively.
  • Pathway analysis linked established panels to immunological processes in AMR and TCMR, while NGS uncovered novel transcripts that could inform future drug design and therapeutic strategies.
View Article and Find Full Text PDF
Article Synopsis
  • Donor-derived cell-free DNA (dd-cfDNA) is an innovative noninvasive biomarker being studied for its ability to detect kidney allograft injuries, such as rejection.
  • In a study involving 2,882 kidney transplant recipients, high levels of dd-cfDNA were strongly linked to various types of allograft rejection, and it significantly improved prediction models beyond what's typically used in patient monitoring.
  • The study, which included diverse cohorts, reinforced that measuring dd-cfDNA could enhance the detection of even subtle rejection in stable patients, providing valuable insights for better transplant management.
View Article and Find Full Text PDF
Article Synopsis
  • The KTD-Innov study aims to address the lack of reliable biomarkers for kidney allograft rejection by analyzing a diverse group of kidney transplant recipients over one year, involving 733 participants across seven French centers.
  • The study involved comprehensive data collection, including clinical, biological, immunological, and histological parameters, and developed a biobank with over 16,000 samples to facilitate future research.
  • The findings reveal that the cumulative incidence of allograft rejection was 9.7% at one year, and the study population reflects the broader demographic of kidney transplant recipients in France and beyond, supporting its clinical relevance.
View Article and Find Full Text PDF

Background: Conversion to a belatacept-based immunosuppression is currently used as a calcineurin inhibitor (CNI) avoidance strategy when the CNI-based standard-of-care immunosuppression is not tolerated after kidney transplantation. However, there is a lack of evidence on the long-term benefit and safety after conversion to belatacept.

Methods: We prospectively enrolled 311 kidney transplant recipients from 2007 to 2020 from two referral centers, converted from CNI to belatacept after transplant according to a prespecified protocol.

View Article and Find Full Text PDF

In kidney transplantation, day-zero biopsies are used to assess organ quality and discriminate between donor-inherited lesions and those acquired post-transplantation. However, many centers do not perform such biopsies since they are invasive, costly and may delay the transplant procedure. We aim to generate a non-invasive virtual biopsy system using routinely collected donor parameters.

View Article and Find Full Text PDF

The intricate association between histologic lesions and circulating antihuman leucocyte antigen donor-specific antibodies (DSA) in liver transplantation (LT) requires further clarification. We conducted a probabilistic, unsupervised approach in a comprehensively well-annotated LT cohort to identify clinically relevant archetypes. We evaluated 490 pairs of LT biopsies with DSA testing from 325 recipients transplanted between 2010 and 2020 across 3 French centers and an external cohort of 202 biopsies from 128 recipients.

View Article and Find Full Text PDF

Significance Statement: Why are there so few biomarkers accepted by health authorities and implemented in clinical practice, despite the high and growing number of biomaker studies in medical research ? In this meta-epidemiological study, including 804 studies that were critically appraised by expert reviewers, the authors have identified all prognostic kidney transplant biomarkers and showed overall suboptimal study designs, methods, results, interpretation, reproducible research standards, and transparency. The authors also demonstrated for the first time that the limited number of studies challenged the added value of their candidate biomarkers against standard-of-care routine patient monitoring parameters. Most biomarker studies tended to be single-center, retrospective studies with a small number of patients and clinical events.

View Article and Find Full Text PDF

Introduction: Several studies have investigated the impact of circulating complement-activating anti-human leukocyte antigen donor-specific antibodies (anti-HLA DSAs) on organ transplant outcomes. However, a critical appraisal of these studies and a demonstration of the prognostic value of complement-activating status over anti-HLA DSA mean fluorescence intensity (MFI) level are lacking.

Methods: We conducted a systematic review, meta-analysis and critical appraisal evaluating the role of complement-activating anti-HLA DSAs on allograft outcomes in different solid organ transplants.

View Article and Find Full Text PDF

Objective: To compare the performance of a newly developed race-free kidney recipient specific glomerular filtration rate (GFR) equation with the three current main equations for measuring GFR in kidney transplant recipients.

Design: Development and validation study SETTING: 17 cohorts in Europe, the United States, and Australia (14 transplant centres, three clinical trials).

Participants: 15 489 adults (3622 in development cohort (Necker, Saint Louis, and Toulouse hospitals, France), 11 867 in multiple external validation cohorts) who received kidney transplants between 1 January 2000 and 1 January 2021.

View Article and Find Full Text PDF

Understanding sex differences in graft outcomes within the course of kidney transplantation is needed to unravel factors leading to the observed disparities and further improve patient management. In this issue, Vinson et al. presented a relative survival analysis comparing the excess risk of mortality in female and male recipients after kidney transplantation.

View Article and Find Full Text PDF

Aims: The epidemiology of sudden cardiac death (SCD) after heart transplantation (HTx) remains imprecisely described. We aimed to assess the incidence and determinants of SCD in a large cohort of HTx recipients, compared with the general population.

Methods And Results: Consecutive HTx recipients (n = 1246, 2 centres) transplanted between 2004 and 2016 were included.

View Article and Find Full Text PDF

For three decades, the international Banff classification has been the gold standard for kidney allograft rejection diagnosis, but this system has become complex over time with the integration of multimodal data and rules, leading to misclassifications that can have deleterious therapeutic consequences for patients. To improve diagnosis, we developed a decision-support system, based on an algorithm covering all classification rules and diagnostic scenarios, that automatically assigns kidney allograft diagnoses. We then tested its ability to reclassify rejection diagnoses for adult and pediatric kidney transplant recipients in three international multicentric cohorts and two large prospective clinical trials, including 4,409 biopsies from 3,054 patients (62.

View Article and Find Full Text PDF

Machine learning (ML) models have recently shown potential for predicting kidney allograft outcomes. However, their ability to outperform traditional approaches remains poorly investigated. Therefore, using large cohorts of kidney transplant recipients from 14 centers worldwide, we developed ML-based prediction models for kidney allograft survival and compared their prediction performances to those achieved by a validated Cox-Based Prognostication System (CBPS).

View Article and Find Full Text PDF

Background: Clinical decisions are mainly driven by the ability of physicians to apply risk stratification to patients. However, this task is difficult as it requires complex integration of numerous parameters and is impacted by patient heterogeneity. We sought to evaluate the ability of transplant physicians to predict the risk of long-term allograft failure and compare them to a validated artificial intelligence (AI) prediction algorithm.

View Article and Find Full Text PDF

Recent large meta-analyses suggested a poorer long-term patients' and grafts' outcomes after ABO incompatible (ABOi) living-donor kidney transplantation (LDKT) compared to ABO compatible LDKT. However, little is known about the long-term histological pattern after ABOi LDKT. We compared the histological features observed on protocol biopsies from 03/11 to 11/19 in 94 ABOi LDKT (including 14 with preformed Donor Specific Antibodies, pDSAs), 27 LDKT ABO compatible (ABOc) with pDSAs, and 21 ABOc without pDSAs) during the first five years post transplantation.

View Article and Find Full Text PDF