Literature DB >> 26262502

Using Genetic Variation to Predict and Extend Long-term Kidney Transplant Function.

Matthew J Simmonds1.   

Abstract

Renal transplantation has transformed the life of patients with end-stage renal disease and other chronic kidney disorders by returning endogenous kidney function and enabling patients to cease dialysis. Several clinical indicators of graft outcome and long-term function have been established. Although rising creatinine levels and graft biopsy can be used to determine graft loss, identifying early predictors of graft function will not only improve our ability to predict long-term graft outcome but importantly provide a window of opportunity to therapeutically intervene to preserve graft function before graft failure has occurred. Since understanding the importance of matching genetic variation at the HLA region between donors and recipients and translating this into clinical practise to improve transplant outcome, much focus has been placed on trying to identify additional genetic predictors of transplant outcome/function. This review will focus on how candidate gene studies have identified variants within immunosuppression, immune response, fibrotic pathways, and specific ethnic groups, which correlate with graft outcome. We will also discuss the challenges faced by candidate gene studies, such as differences in donor and recipient selection criteria and use of small data sets, which have led to many genes failing to be consistently associated with transplant outcome. This review will also look at how recent advances in our understanding of and ability to screen the genome are starting to provide new insights into the mechanisms behind long-term graft loss and with it the opportunity to target these pathways therapeutically to ultimately increase graft lifespan and the associated benefits to patients.

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Year:  2015        PMID: 26262502     DOI: 10.1097/TP.0000000000000836

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  5 in total

1.  Effect of UMOD genotype on long-term graft survival after kidney transplantation in patients treated with cyclosporine-based therapy.

Authors:  E Abdel-Hady Algharably; J Beige; R Kreutz; J Bolbrinker
Journal:  Pharmacogenomics J       Date:  2017-04-18       Impact factor: 3.550

2.  Precision Medicine in Kidney Transplantation: Just Hype or a Realistic Hope?

Authors:  Ehsan Nobakht; Muralidharan Jagadeesan; Rohan Paul; Jonathan Bromberg; Sherry Dadgar
Journal:  Transplant Direct       Date:  2021-01-07

3.  Correlation between Kidney Function and Sonographic Texture Features after Allograft Transplantation with Corresponding to Serum Creatinine: A Long Term Follow-Up Study.

Authors:  Abbasian Ardakani A; Sattar A R; Abolghasemi J; Mohammadi A
Journal:  J Biomed Phys Eng       Date:  2020-12-01

4.  Effect of donor non-muscle myosin heavy chain (MYH9) gene polymorphisms on clinically relevant kidney allograft dysfunction.

Authors:  Joanna Pazik; Monika Oldak; Dominika Oziębło; Dominika Dęborska Materkowska; Anna Sadowska; Jacek Malejczyk; Magdalena Durlik
Journal:  BMC Nephrol       Date:  2020-09-01       Impact factor: 2.388

5.  Long- and short-term outcomes in renal allografts with deceased donors: A large recipient and donor genome-wide association study.

Authors:  Maria P Hernandez-Fuentes; Christopher Franklin; Irene Rebollo-Mesa; Jennifer Mollon; Florence Delaney; Esperanza Perucha; Caragh Stapleton; Richard Borrows; Catherine Byrne; Gianpiero Cavalleri; Brendan Clarke; Menna Clatworthy; John Feehally; Susan Fuggle; Sarah A Gagliano; Sian Griffin; Abdul Hammad; Robert Higgins; Alan Jardine; Mary Keogan; Timothy Leach; Iain MacPhee; Patrick B Mark; James Marsh; Peter Maxwell; William McKane; Adam McLean; Charles Newstead; Titus Augustine; Paul Phelan; Steve Powis; Peter Rowe; Neil Sheerin; Ellen Solomon; Henry Stephens; Raj Thuraisingham; Richard Trembath; Peter Topham; Robert Vaughan; Steven H Sacks; Peter Conlon; Gerhard Opelz; Nicole Soranzo; Michael E Weale; Graham M Lord
Journal:  Am J Transplant       Date:  2018-02-01       Impact factor: 8.086

  5 in total

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