Microvascular inflammation, the hallmark histological criteria of antibody-mediated rejection in kidney transplantation, remains an issue in routine practice, due to a lack of reproducibility in its recognition by pathologists and an incomplete comprehension of its pathophysiology, leading to a poor treatment efficacy. The main objective of this study is to assess the performances of tissue proteic signatures designed for the diagnosis of microvascular inflammation in kidney transplantation, from formalin-fixed and paraffin-embedded (FFPE) allograft biopsies analyzed by mass spectrometry-based proteomics.
Antibody-mediated rejection (ABMR) is due to pathogenic antibodies produced by the donor (donor-specific antibodies, DSA) that are directed against Human Leukocyte Antigens (HLA) or other antigens (non HLA) of the graft. ABMR is currently the leading cause of long-term kidney allograft failure. Histological lesions of microvascular inflammation (MVI) are the hallmark criteria of ABMR according to the 2019 Banff classification. Lack of reproducibility in the scoring of MVI by pathologists is still an issue of the diagnosis of ABMR in routine practice, while the understood pathophysiological mechanisms of MVI (anti-HLA DSA, DSA against non HLA antigens and/or NK cell-mediated) are poorly assessed in practice, possibly explaining the wide variability of treatment efficacy. In a prior study, the investigators confirmed the value of mass spectrometry for the analysis of the glomerular proteome during ABMR, compared to the one of stable grafts, from FFPE biopsies. The investigators identified 82 proteins, particularly involved in leukocyte activation and the interferons pathways, in accordance with transcriptomic approaches. Five proteins were validated by immunohistochemistry. The investigators now propose to analyze kidney allograft FFPE biopsies of 92 patients by mass spectrometry, including 32 with MVI (with and without anti-HLA DSA) and 60 with relevant differential diagnoses. The main objective is to assess the diagnostic performances of tissue proteic signatures designed by machine-learning methods for the diagnosis of microvascular inflammation, the reference standard being the 2019 Banff classification. One of the secondary objectives includes the comparison of the protein profile of MVI with and without anti-HLA DSA, but also the proteomic analysis of 60 urine samples from the same population, in order to assess the performances of mass spectrometry in the non-invasive diagnosis of MVI in kidney transplantation.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
141
The biopsy and urine samples will be processed by the OncoProt platform (University of Bordeaux) for proteomic analysis by tandem mass spectrometry (label-free quantification) as follows: * Biopsies: laser microdissection of the renal cortex, fixation reversion, protein extraction and electrophoretic migration, tryptic digestion. * Urines: samples concentration by centrifugation/filtration and tryptic digestion according to a protocol adapted from the FASP method (Filter-Aided Sample Preparation)
Hôpital Pellegrin
Bordeaux, France
Hôpital Edouard Herriot
Lyon, France
Hôpital Necker
Paris, France
Assessing diagnostic performance of tissue protein signature
The primary outcome is the sensitivity and specificity of tissue protein signature in the diagnosis of microvascular inflammation (MVI) in kidney transplantation, the diagnostic reference standard being based on the 2019 Banff classification (histological and biological criteria). This primary outcome is based on FFPE kidney allograft biopsies.
Time frame: 18 months after inclusion
Assessing the diagnostic performance of urine protein signatures
Sensitivity and specificity of the urinary protein signature in the diagnosis of MVI in kidney transplantation, compared to the reference standard (2019 Banff classification)
Time frame: 18 months after inclusion
Assessing the performance of tissue proteomic signature
Sensitivity and specificity of tissue proteomic analysis in the prediction of the MVI subtype (anti-HLA DSA or not)
Time frame: 18 months after inclusion
Assessing the performance of urine proteomic signature
Sensitivity and specificity of urine proteomic analysis in the prediction of the MVI subtype (anti-HLA DSA or not)
Time frame: 18 months after inclusion
Compare protein profiles observed within different phenotypes of MVI in kidney transplantation
To describe and compare protein profiles observed within different phenotypes of MVI in kidney transplantation, at tissue and urine protein level according to Banff 2019 (with and without anti-HLA DSA).
Time frame: 18 months after inclusion
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.