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Master Thesis

Intérêt de la protéomique pour l'identification de marqueurs diagnostiques d'accommodation en greffe rénale

Abstract : The prognostic of kidney transplantation is still limited by antibody mediated rejection (ABMR). Donor-specific antibodies are implicated in ABMR. However, accommodation is encountered, in which antibodies do not induce graft dysfunction. This work is focused on the detection of urinary protein biomarkers of accommodation in kidney transplantation. All kidney transplant recipients followed at Grenoble University Hospital and submitted to transplant biopsy between october 2011 and may 2014 were included in this study. SELDI-TOF mass-spectrometry analysis was performed on a urine sample to detect differential biomarkers between accommodation and ABMR cases. A decision tree classifier was built on all significantly differentially expressed urinary proteins, using univariate tests. 250 patients provided a urine sample and a graft biopsy. Comparison of protein peaks between groups showed a differential peak at mass 7,52kDa. The associated classifier showed a sensitivity of 100% and a specificity of 91%, corresponding to a positive predictive value of 89% and negative predictive value of 100%. Urinary proteomic analysis allowed detection of a non-invasive protein biomarker enabling the diagnosis of accommodation. These results should be validated on an external validation set. This cohort will be prospectively followed to detect and identify prognostic biomarkers of accommodation. This would enable an early and optimal care of rejecting patients.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01083385
Contributor : Jean-Hugues Morneau <>
Submitted on : Monday, November 17, 2014 - 11:25:42 AM
Last modification on : Wednesday, July 15, 2020 - 8:58:04 AM
Long-term archiving on: : Friday, April 14, 2017 - 2:24:44 PM

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  • HAL Id : dumas-01083385, version 1

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Thomas Jouve. Intérêt de la protéomique pour l'identification de marqueurs diagnostiques d'accommodation en greffe rénale. Médecine humaine et pathologie. 2014. ⟨dumas-01083385⟩

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