Literature DB >> 15196079

Surrogate markers for long-term renal allograft survival.

Sundaram Hariharan1, Bertram Kasiske, Arthur Matas, Arthur Cohen, William Harmon, Hamid Rabb.   

Abstract

Progressive improvement in kidney transplant survival rates and reduction in acute rejection rates have ironically restricted our ability to evaluate newer therapy. Current short-term endpoints such as acute rejection rates have reduced utility in predicting long-term survival. Long-term graft survival is an ideal endpoint, but is limited by longer follow-up requirements and the large cohort of patients required for such studies. Newer short-term surrogate markers should be identified and these markers should correlate with long-term graft failure. Hence, identification of short-term surrogate markers is critical to test newer immunosuppressive strategies over current therapies, and should also predict long-term transplant outcome. Potential surrogate markers are clinical parameters such as renal function, renal histological findings of fibrosis and immunological markers. Post-transplant renal function estimated by serum creatinine within 1 year has been shown to correlate with long-term survival. Alternative evaluation of renal function such as clearance studies and cystatin C, which are more accurate, could potentially be useful in clinical trials. Renal histological indices such as fibrosis measured as Chronic Allograft Disease Index score or Banff score correlate with long-term graft survival. Immunological markers such as antidonor antibodies, levels of blood and urine cytokines, real time PCR, ELISPOT and microarrays are attractive surrogates to consider. Measurement of morbidity and mortality after transplantation is critical to further enhance long-term survival. Thus, there are many potential surrogate markers and these individually or in combination with conventional endpoints should be implemented in clinical trials and validated in long-term studies.

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Year:  2004        PMID: 15196079     DOI: 10.1111/j.1600-6143.2004.00484.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  9 in total

Review 1.  Immunotherapy for De Novo renal transplantation: what's in the pipeline?

Authors:  Helio Tedesco Silva; Paula Pinheiro Machado; Claudia Rosso Felipe; Jose Osmar Medina Pestana
Journal:  Drugs       Date:  2006       Impact factor: 9.546

Review 2.  Estimating glomerular filtration rate in kidney transplantation: Still searching for the best marker.

Authors:  Josefina Santos; La Salete Martins
Journal:  World J Nephrol       Date:  2015-07-06

Review 3.  Genomic and proteomic fingerprints of acute rejection in peripheral blood and urine.

Authors:  Song Ong; Roslyn B Mannon
Journal:  Transplant Rev (Orlando)       Date:  2014-12-10       Impact factor: 3.943

4.  Subclinical inflammation and chronic renal allograft injury in a randomized trial on steroid avoidance in pediatric kidney transplantation.

Authors:  M Naesens; O Salvatierra; M Benfield; R B Ettenger; V Dharnidharka; W Harmon; R Mathias; M M Sarwal
Journal:  Am J Transplant       Date:  2012-06-13       Impact factor: 8.086

5.  Long-Term Impact of Cyclosporin Reduction with MMF Treatment in Chronic Allograft Dysfunction: REFERENECE Study 3-Year Follow Up.

Authors:  L Frimat; E Cassuto-Viguier; F Provôt; L Rostaing; B Charpentier; K Akposso; M C Moal; P Lang; D Glotz; S Caillard; D Ducloux; C Pouteil-Noble; S Girardot-Seguin; M Kessler
Journal:  J Transplant       Date:  2010-07-28

6.  Efficacy and safety of immunosuppressive drugs approved in EU through the centralised procedure.

Authors:  Vittorio Bertele'; Carmela Buonocore; Francesca Michelacci; Maria Vitocolonna; Silvio Garattini
Journal:  Eur J Clin Pharmacol       Date:  2007-05-08       Impact factor: 3.064

7.  Conversion to mTOR-inhibitor-based immunosuppression: which patients and when?

Authors:  Philippe Gatault; Yvon Lebranchu
Journal:  Transplant Res       Date:  2013-11-20

8.  Proteomic analysis of differentially expressed proteins in the serum of patients with acute renal allograft rejection using iTRAQ labelling technology.

Authors:  Yue Zhang; Minglin Ou; Hua Lin; Liusheng Lai; Huaizhou Chen; Jiejing Chen; Weiguo Sui; Wen Xue; Ruohan Zhang; Qing Gan; Donge Tang; Xuyong Sun; Jianhui Dong; Qiang Yan; Yong Dai
Journal:  Mol Med Rep       Date:  2020-07-06       Impact factor: 2.952

9.  Impact of Subclinical and Clinical Kidney Allograft Rejection Within 1 Year Posttransplantation Among Compatible Transplant With Steroid Withdrawal Protocol.

Authors:  Itunu Owoyemi; Srijan Tandukar; Dana R Jorgensen; Christine M Wu; Puneet Sood; Chethan Puttarajappa; Akhil Sharma; Nirav A Shah; Parmjeet Randhawa; Michele Molinari; Amit D Tevar; Rajil B Mehta; Sundaram Hariharan
Journal:  Transplant Direct       Date:  2021-06-08
  9 in total

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