作者
Richard Danger,Ludmilla Le Berre,Marion Cadoux,Clarisse Kerleau,Emmanuelle Papuchon,Hoa Le,Thi‐Van‐Ha Nguyen,Pierrick Guérif,Emmanuel Morélon,Olivier Thaunat,Christophe Legendre,Dany Anglicheau,Carmen Lefaucheur,Lionel Couzi,Arnaud Del Bello,Nassim Kamar,Moglie Le Quintrec,Valentin Goutaudier,Karine Renaudin,Magali Giral,Sophie Brouard,Lionel Badet,María Brunet,Fanny Buron,R. Cahen,R. Codas,S. Daoud,Valérie Dubois,Coralie Fournie,F. Gaillard,Arnaud Grégoire,Alice Koenig,Charlène Lévi,Emmanuel Morélon,Claire Pouteil‐Noble,Maud Rabeyrin,Thomas Rimmelé,Olivier Thaunat,Gilles Blancho,Julien Branchereau,Diego Cantarovich,Agnès Chapelet,Jacques Dantal,Clément Deltombe,Lucile Figueres,Raphaël Gaisne,Claire Garandeau,Magali Giral,Caroline Gourraud‐Vercel,Maryvonne Hourmant,Georges Karam,Clarisse Kerleau,Delphine Kervella,Christophe Masset,Aurélie Meurette,Simon Ville,Christine Kandell,Philippe Moreau,Karine Renaudin,Florent Delbos,Alexandre Walencik,Anne Devis,Lucile Amrouche,Dany Anglicheau,Olivier Aubert,Lynda Bererhi,Christophe Legendre,Alexandre Loupy,Frank Martinez,Arnaud Méjean,Rébecca Sberro‐Soussan,Anne Scemla,Marc‐Olivier Timsit,Julien Zuber
摘要
We previously established a six-gene–based blood score associated with operational tolerance in kidney transplantation which was decreased in patients developing anti-HLA donor-specific antibodies (DSA). Herein, we aimed to confirm that this score is associated with immunological events and risk of rejection. We measured this using quantitative PCR (qPCR) and NanoString methods from an independent multicenter cohort of 588 kidney transplant recipients with paired blood samples and biopsies at one year after transplantation validating its association with pre-existing and de novo DSA. From 441 patients with protocol biopsy, there was a significant decrease of the score of tolerance in 45 patients with biopsy-proven subclinical rejection (SCR), a major threat associated with pejorative allograft outcomes that prompted an SCR score refinement. This refinement used only two genes, AKR1C3 and TCL1A, and four clinical parameters (previous experience of rejection, previous transplantation, sex of recipient and tacrolimus uptake). This refined SCR score was able to identify patients unlikely to develop SCR with a C-statistic of 0.864 and a negative predictive value of 98.3%. The SCR score was validated in an external laboratory, with two methods (qPCR and NanoString), and on 447 patients from an independent and multicenter cohort. Moreover, this score allowed reclassifying patients with discrepancies between the DSA presence and the histological diagnosis of antibody mediated rejection unlike kidney function. Thus, our refined SCR score could improve detection of SCR for closer and noninvasive monitoring, allowing early treatment of SCR lesions notably for patients DSA-positive and during lowering of immunosuppressive treatment.