Free Access
Issue
Med Sci (Paris)
Volume 26, Number 11, Novembre 2010
Page(s) 909 - 911
Section Nouvelles
DOI https://doi.org/10.1051/medsci/20102611909
Published online 15 November 2010
  1. Eid AJ, Razonable RR. New developments in the management of cytomegalovirus infection after solid organ transplantation. Drugs 2010 ; 70 : 965-81. [Google Scholar]
  2. Dantal J, Soulillou JP. Immunosuppressive drugs and the risk of cancer after organ transplantation. N Engl J Med 2005 ; 352 : 1371-3. [Google Scholar]
  3. Nankivell BJ, Borrows RJ, Fung CL, et al. The natural history of chronic allograft nephropathy. N Engl J Med 2003 ; 349 : 2326-33. [Google Scholar]
  4. Kingsley CI, Nadig SN, Wood KJ. Transplantation tolerance: lessons from experimental rodent models. Transpl Int 2007 ; 20 : 828-41. [Google Scholar]
  5. Ashton-Chess J, Brouard S, Soulillou JP. Is clinical tolerance realistic in the next decade ? Transpl Int 2006 ; 19 : 539-48. [Google Scholar]
  6. Orlando G, Soker S, Wood K. Operational tolerance after liver transplantation. J Hepatol 2009 ; 50 : 1247-57. [Google Scholar]
  7. Berlanda M, Di Cocco P, Mazzotta C, et al. Clinical operational tolerance after kidney transplantation: a short literature review. Transplant Proc 2008 ; 40 : 1847-51. [Google Scholar]
  8. Roussey-Kesler G, Giral M, Moreau A, et al. Clinical operational tolerance after kidney transplantation. Am J Transplant 2006 ; 6 : 736-46. [Google Scholar]
  9. Sawitzki B, Pascher A, Babel N, et al. Can we use biomarkers and functional assays to implement personalized therapies in transplantation ? Transplantation 2009 ; 87 : 1595-601. [Google Scholar]
  10. Bunnag S, Einecke G, Reeve J, et al. Molecular correlates of renal function in kidney transplant biopsies. J Am Soc Nephrol 2009 ; 20 : 1149-60. [Google Scholar]
  11. Ashton-Chess J, Giral M, Soulillou JP, et al. Using biomarkers of tolerance and rejection to identify highand low-risk patients following kidney transplantation. Transplantation 2009 ; 87 : S95-9. [Google Scholar]
  12. Mengel M, Reeve J, Bunnag S, et al. Scoring total inflammation is superior to the current Banff inflammation score in predicting outcome and the degree of molecular disturbance in renal allografts. Am J Transplant 2009 ; 9 : 1859-67. [Google Scholar]
  13. Anglicheau D, Suthanthiran M. Noninvasive prediction of organ graft rejection and outcome using gene expression patterns. Transplantation 2008 ; 86 : 192-9. [Google Scholar]
  14. Brouard S, Mansfield E, Braud C, et al. Identification of a peripheral blood transcriptional biomarker panel associated with operational renal allograft tolerance.Proc Natl Acad Sci USA 2007 ; 104 : 15448-53. [Google Scholar]
  15. Newell KA, Asare A, Kirk AD, et al. Identification of a B cell signature associated with renal transplant tolerance in humans. J Clin Invest 2010 ; 120 : 1836-47. [Google Scholar]
  16. Sagoo P, Perucha E, Sawitzki B, et al. Development of a cross-platform biomarker signature to detect renal transplant tolerance in humans. J Clin Invest 2010 ; 120 : 1848-61. [Google Scholar]
  17. Pallier A, Hillion S, Danger R, et al. Patients with drug-free long-term graft function display increased numbers of peripheral B cells with a memory and inhibitory phenotype. Kidney Int 2010 ; 78 : 503-13. [Google Scholar]
  18. Louis S, Braudeau C, Giral M, et al. Contrasting CD25hiCD4+T cells/FOXP3 patterns in chronic rejection and operational drug-free tolerance. Transplantation 2006 ; 81 : 398-407. [Google Scholar]
  19. Yanaba K, Bouaziz JD, Haas KM, et al. A regulatory B cell subset with a unique CD1dhiCD5+ phenotype controls T cell-dependent inflammatory responses. Immunity 2008 ; 28 : 639-50. [Google Scholar]
  20. Hauer J, Puschner S, Ramakrishnan P, et al. TNF receptor (TNFR)-associated factor (TRAF) 3 serves as an inhibitor of TRAF2/5-mediated activation of the noncanonical NF-kappaB pathway by TRAF-binding TNFRs. Proc Natl Acad Sci USA 2005 ; 102 : 2874-9. [Google Scholar]
  21. Einecke G, Reeve J, Sis B, et al. A molecular classifier for predicting future graft loss in late kidney transplant biopsies. J Clin Invest 2010 ; 120 : 1862-72. [Google Scholar]
  22. Ashton-Chess J, Giral M, Mengel M, et al. Tribbles-1 as a novel biomarker of chronic antibody-mediated rejection. J Am Soc Nephrol 2008 ; 19 : 1116-27. [Google Scholar]
  23. Suthanthiran M. Human renal allograft rejection: molecular characterization. Nephrol Dial Transplant 1998 ; 13 Suppl 1: 21-4. [Google Scholar]
  24. Foucher Y, Daguin P, Akl A, et al. A clinical score highly predictive of long-term kidney graft survival. Kidney Int 2010 ; sous presse. [Google Scholar]

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