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Article Dans Une Revue Frontiers in Immunology Année : 2023

Pre-transplant immune profile defined by principal component analysis predicts acute rejection after kidney transplantation

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Background : Acute rejection persists as a frequent complication after kidney transplantation. Defining an at-risk immune profile would allow better preventive approaches. Methods : We performed unsupervised hierarchical clustering analysis on pre-transplant immunological phenotype in 1113 renal transplant recipients from the ORLY-EST cohort. Results : We identified three immune profiles correlated with clinical phenotypes. A memory immune cluster was defined by memory CD4 + T cell expansion and decreased naïve CD4 + T cell. An activated immune cluster was characterized by an increase in CD8 + T cells and a decreased CD4/CD8 ratio. A naïve immune cluster was mainly defined by increased naïve CD4 + T cells. Patients from the memory immune profile tend to be older and to have diabetes whereas those from the activated immune profile were younger and more likely to have pre-transplant exposure to CMV. Patients from the activated immune profile were more prone to experience acute rejection than those from other clusters [(HR=1.69, 95%IC[1.05-2.70], p=0.030) and (HR=1.85; 95%IC[1.16-3.00], p=0.011). In the activated immune profile, those without previous exposure to CMV (24%) were at very high risk of acute rejection (27 vs 16%, HR=1.85; 95%IC[1.04-3.33], p=0.039). Conclusion : Immune profile determination based on principal component analysis defines clinically different sub-groups and discriminate a population at high-risk of acute rejection.
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inserm-04214674 , version 1 (22-09-2023)

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Emilie Gaiffe, Mathilde Colladant, Maxime Desmaret, Jamal Bamoulid, Franck Leroux, et al.. Pre-transplant immune profile defined by principal component analysis predicts acute rejection after kidney transplantation. Frontiers in Immunology, 2023, 14, pp.1192440. ⟨10.3389/fimmu.2023.1192440⟩. ⟨inserm-04214674⟩
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