Literature DB >> 29030886

Genetics of acute rejection after kidney transplantation.

Casey R Dorr1,2, William S Oetting3, Pamala A Jacobson3, Ajay K Israni1,2,4.   

Abstract

Treatment of acute rejection (AR) following kidney transplantation has improved in recent years, but there are still limitations to successful outcomes. This review article covers literature in regard to recipient and donor genetics of AR kidney and secondarily of liver allografts. Many candidate gene and some genome-wide association studies (GWASs) have been conducted for AR in kidney transplantation. Genetic associations with AR in kidney and liver are mostly weak, and in most cases, the associations have not been reproducible. A limitation in the study of AR is the lack of sufficiently large populations that account for population stratification to study the AR phenotype which in this era occurs in <10% of transplants. Furthermore, the AR phenotype has been difficult to define and the definitions of classifications have evolved over time. Literature related to the pharmacogenomics of tacrolimus is robust and has been validated in many studies. Associations between gene expression and AR are emerging as markers of outcomes and AR classification. In the future, combinations of pretransplant genotype for AR risk prediction, genotype-based immune suppressant dosing, and pharmacogenomic markers to select AR maintenance or treatment and expression markers from biopsies may provide valuable clinical tools for guiding treatment.
© 2017 Steunstichting ESOT.

Entities:  

Keywords:  acute rejection; genetics; kidney; single nucleotide polymorphism; tacrolimus; transcriptomics; transplantation

Mesh:

Year:  2017        PMID: 29030886      PMCID: PMC6260834          DOI: 10.1111/tri.13084

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


  152 in total

1.  Molecular correlates of scarring in kidney transplants: the emergence of mast cell transcripts.

Authors:  M Mengel; J Reeve; S Bunnag; G Einecke; B Sis; T Mueller; B Kaplan; P F Halloran
Journal:  Am J Transplant       Date:  2008-10-31       Impact factor: 8.086

2.  Scoring total inflammation is superior to the current Banff inflammation score in predicting outcome and the degree of molecular disturbance in renal allografts.

Authors:  M Mengel; J Reeve; S Bunnag; G Einecke; G S Jhangri; B Sis; K Famulski; L Guembes-Hidalgo; P F Halloran
Journal:  Am J Transplant       Date:  2009-06-26       Impact factor: 8.086

3.  Association of UDP-glucuronosyltransferase 1A9 (UGT1A9) gene polymorphism with kidney allograft function.

Authors:  Joanna Pazik; Monika Ołdak; Marcin Dąbrowski; Zbigniew Lewandowski; Elżbieta Sitarek; Marta Podgórska; Ewa Ważna; Rafał Płoski; Jacek Szmidt; Andrzej Chmura; Magdalena Durlik; Jacek Malejczyk
Journal:  Ann Transplant       Date:  2011 Oct-Dec       Impact factor: 1.530

4.  14-bp ins/del polymorphism and +3142C>G SNP of the HLA-G gene have a significant impact on acute rejection after liver transplantation.

Authors:  Hansjörg Thude; Maike Janssen; Martina Sterneck; Björn Nashan; Martina Koch
Journal:  Hum Immunol       Date:  2016-09-21       Impact factor: 2.850

5.  Association of CTLA-4 gene polymorphism with end-stage renal disease and renal allograft outcome.

Authors:  Maneesh Kumar Misra; Rakesh Kapoor; Shashi Kant Pandey; Raj Kumar Sharma; Suraksha Agrawal
Journal:  J Interferon Cytokine Res       Date:  2013-12-07       Impact factor: 2.607

6.  Characterization of the transcriptome in isolated and transplanted mouse pancreatic islets: associations with engraftment and dysfunction.

Authors:  Shaheed Merani; Konrad S Famulski; Vido Ramassar; Am James Shapiro; Philip F Halloran
Journal:  Islets       Date:  2012-03-01       Impact factor: 2.694

7.  Association studies of cytochrome P450, family 2, subfamily E, polypeptide 1 (CYP2E1) gene polymorphisms with acute rejection in kidney transplantation recipients.

Authors:  Su Kang Kim; Hae Jeong Park; Hosik Seok; Hye Sook Jeon; Tae Won Lee; Sang Ho Lee; Ju Young Moon; Chun Gyoo Ihm; Tae Hee Kim; Yeong Hoon Kim; Sun Woo Kang; Seok Ju Park; Kyung Hwan Jeong; Joo-Ho Chung
Journal:  Clin Transplant       Date:  2014-05-08       Impact factor: 2.863

8.  TNF-alpha and TGF-beta1 gene polymorphisms and renal allograft rejection in Koreans.

Authors:  J-Y Park; M H Park; H Park; J Ha; S J Kim; C Ahn
Journal:  Tissue Antigens       Date:  2004-12

9.  A 3'-UTR Polymorphism in Soluble Epoxide Hydrolase Gene Is Associated with Acute Rejection in Renal Transplant Recipients.

Authors:  Guillermo Gervasini; Montserrat García-Cerrada; Eliecer Coto; Esther Vergara; Guadalupe García-Pino; Raul Alvarado; Maria Jesús Fernández-Cavada; Beatriz Suárez-Álvarez; Sergio Barroso; Emilio Doblaré; Carmen Díaz-Corte; Carlos López-Larrea; Juan Jose Cubero
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

10.  Global pharmacogenomics: distribution of CYP3A5 polymorphisms and phenotypes in the Brazilian population.

Authors:  Guilherme Suarez-Kurtz; Daniela D Vargens; Ana Beatriz Santoro; Mara H Hutz; Maria Elisabete de Moraes; Sérgio D J Pena; Ândrea Ribeiro-dos-Santos; Marco A Romano-Silva; Claudio José Struchiner
Journal:  PLoS One       Date:  2014-01-10       Impact factor: 3.240

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  11 in total

1.  Analysis of 75 Candidate SNPs Associated With Acute Rejection in Kidney Transplant Recipients: Validation of rs2910164 in MicroRNA MIR146A.

Authors:  William S Oetting; David P Schladt; Casey R Dorr; Baolin Wu; Weihua Guan; Rory P Remmel; David Iklé; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Transplantation       Date:  2019-08       Impact factor: 4.939

2.  Joint testing of donor and recipient genetic matching scores and recipient genotype has robust power for finding genes associated with transplant outcomes.

Authors:  Victoria L Arthur; Weihua Guan; Bao-Li Loza; Brendan Keating; Jinbo Chen
Journal:  Genet Epidemiol       Date:  2020-08-11       Impact factor: 2.135

Review 3.  Molecular Markers of Kidney Transplantation Outcome: Current Omics Tools and Future Developments.

Authors:  Maryne Lepoittevin; Thomas Kerforne; Luc Pellerin; Thierry Hauet; Raphael Thuillier
Journal:  Int J Mol Sci       Date:  2022-06-05       Impact factor: 6.208

4.  LCK as a Potential Therapeutic Target for Acute Rejection after Kidney Transplantation: A Bioinformatics Clue.

Authors:  Linpei Jia; Rufu Jia; Yinping Li; Xiaoxia Li; Qiang Jia; Hongliang Zhang
Journal:  J Immunol Res       Date:  2018-06-07       Impact factor: 4.818

5.  CYP and SXR gene polymorphisms influence in opposite ways acute rejection rate in pediatric patients with renal transplant.

Authors:  Stefano Turolo; Alberto Edefonti; Luciana Ghio; Sara Testa; William Morello; Giovanni Montini
Journal:  BMC Pediatr       Date:  2020-05-25       Impact factor: 2.125

Review 6.  Sensitization in transplantation: Assessment of risk (STAR) 2019 Working Group Meeting Report.

Authors:  Anat R Tambur; Patricia Campbell; Anita S Chong; Sandy Feng; Mandy L Ford; Howard Gebel; Ronald G Gill; Garnett Kelsoe; Vasilis Kosmoliaptsis; Roslyn B Mannon; Michael Mengel; Elaine F Reed; Nicole M Valenzuela; Chris Wiebe; I Esme Dijke; Harold C Sullivan; Peter Nickerson
Journal:  Am J Transplant       Date:  2020-05-27       Impact factor: 8.086

7.  Molecular Diversity of Clinically Stable Human Kidney Allografts.

Authors:  Dmitry Rychkov; Swastika Sur; Marina Sirota; Minnie M Sarwal
Journal:  JAMA Netw Open       Date:  2021-01-04

8.  Biological Characteristics and Predictive Model of Biopsy-Proven Acute Rejection (BPAR) After Kidney Transplantation: Evidences of Multi-Omics Analysis.

Authors:  Qianguang Han; Xiang Zhang; Xiaohan Ren; Zhou Hang; Yu Yin; Zijie Wang; Hao Chen; Li Sun; Jun Tao; Zhijian Han; Ruoyun Tan; Min Gu; Xiaobing Ju
Journal:  Front Genet       Date:  2022-03-21       Impact factor: 4.772

Review 9.  Omics-based biomarkers for diagnosis and prediction of kidney allograft rejection.

Authors:  Jeong-Hoon Lim; Byung Ha Chung; Sang-Ho Lee; Hee-Yeon Jung; Ji-Young Choi; Jang-Hee Cho; Sun-Hee Park; Yong-Lim Kim; Chan-Duck Kim
Journal:  Korean J Intern Med       Date:  2022-04-15       Impact factor: 3.165

10.  Association between epidermal growth factor (EGF) and EGF receptor gene polymorphisms and end-stage renal disease and acute renal allograft rejection in a Korean population.

Authors:  Byeong Woo Kim; Su Kang Kim; Kyung Wook Heo; Ki Beom Bae; Kyung Hwan Jeong; Sang Ho Lee; Tae Hee Kim; Yeong Hoon Kim; Sun Woo Kang
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

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