Literature DB >> 28188669

Orthogonal Comparison of Molecular Signatures of Kidney Transplants With Subclinical and Clinical Acute Rejection: Equivalent Performance Is Agnostic to Both Technology and Platform.

S M Kurian1, E Velazquez1, R Thompson1, T Whisenant1, S Rose2, N Riley1, F Harrison1, T Gelbart1, J J Friedewald3, J Charette3, S Brietigam3, J Peysakhovich3, M R First2,3, M M Abecassis3, D R Salomon1.   

Abstract

We performed orthogonal technology comparisons of concurrent peripheral blood and biopsy tissue samples from 69 kidney transplant recipients who underwent comprehensive algorithm-driven clinical phenotyping. The sample cohort included patients with normal protocol biopsies and stable transplant (sTx) function (n = 25), subclinical acute rejection (subAR, n = 23), and clinical acute rejection (cAR, n = 21). Comparisons between microarray and RNA sequencing (RNA-seq) signatures were performed and demonstrated a strong correlation between the blood and tissue compartments for both technology platforms. A number of shared differentially expressed genes and pathways between subAR and cAR in both platforms strongly suggest that these two clinical phenotypes form a continuum of alloimmune activation. SubAR is associated with fewer or less expressed genes than cAR in blood, whereas in biopsy tissues, this clinical phenotype demonstrates a more robust molecular signature for both platforms. The discovery work done in this study confirms a clear ability to detect gene expression profiles for sTx, subAR, and cAR in both blood and biopsy tissue, yielding equivalent predictive performance that is agnostic to both technology and platform. Our data also provide strong biological insights into the molecular mechanisms underlying these signatures, underscoring their logistical potential as molecular diagnostics to improve clinical outcomes following kidney transplantation.
© 2017 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  clinical research/practice; diagnostic techniques and imaging; genomics; kidney (allograft) function/dysfunction; kidney transplantation/nephrology; microarray/gene array; rejection: acute; translational research/science

Mesh:

Substances:

Year:  2017        PMID: 28188669      PMCID: PMC5519433          DOI: 10.1111/ajt.14224

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


  48 in total

Review 1.  The significance of subclinical rejection and the value of protocol biopsies.

Authors:  B J Nankivell; J R Chapman
Journal:  Am J Transplant       Date:  2006-06-22       Impact factor: 8.086

Review 2.  Immune biomarkers: the promises and pitfalls of personalized medicine.

Authors:  Joanna C D Willis; Graham M Lord
Journal:  Nat Rev Immunol       Date:  2015-03-27       Impact factor: 53.106

3.  OPTN/SRTR 2013 Annual Data Report: kidney.

Authors:  A J Matas; J M Smith; M A Skeans; B Thompson; S K Gustafson; D E Stewart; W S Cherikh; J L Wainright; G Boyle; J J Snyder; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2015-01       Impact factor: 8.086

4.  Clinical significance of an early protocol biopsy in living-donor renal transplantation: ten-year experience at a single center.

Authors:  Bum Soon Choi; Mi Jung Shin; Suk Joon Shin; Young Soo Kim; Yeong Jin Choi; Yong-Soo Kim; In Sung Moon; Suk Young Kim; Yong Bok Koh; Byung Kee Bang; Chul Woo Yang
Journal:  Am J Transplant       Date:  2005-06       Impact factor: 8.086

5.  The impact of repeated subclinical acute rejection on the progression of chronic allograft nephropathy.

Authors:  Seiichirou Shishido; Hiroshi Asanuma; Hideo Nakai; Yoshiaki Mori; Hiroyuki Satoh; Isamu Kamimaki; Hiroshi Hataya; Masahiro Ikeda; Masataka Honda; Akira Hasegawa
Journal:  J Am Soc Nephrol       Date:  2003-04       Impact factor: 10.121

6.  Biomarkers for early and late stage chronic allograft nephropathy by proteogenomic profiling of peripheral blood.

Authors:  Sunil M Kurian; Raymond Heilman; Tony S Mondala; Aleksey Nakorchevsky; Johannes A Hewel; Daniel Campbell; Elizabeth H Robison; Lin Wang; Wen Lin; Lillian Gaber; Kim Solez; Hamid Shidban; Robert Mendez; Randolph L Schaffer; Jonathan S Fisher; Stuart M Flechner; Steve R Head; Steve Horvath; John R Yates; Christopher L Marsh; Daniel R Salomon
Journal:  PLoS One       Date:  2009-07-10       Impact factor: 3.240

7.  2202 kidney transplant recipients with 10 years of graft function: what happens next?

Authors:  A J Matas; K J Gillingham; A Humar; R Kandaswamy; D E R Sutherland; W D Payne; T B Dunn; J S Najarian
Journal:  Am J Transplant       Date:  2008-11       Impact factor: 8.086

8.  Kidney transplant rejection and tissue injury by gene profiling of biopsies and peripheral blood lymphocytes.

Authors:  Stuart M Flechner; Sunil M Kurian; Steven R Head; Starlette M Sharp; Thomas C Whisenant; Jie Zhang; Jeffrey D Chismar; Steve Horvath; Tony Mondala; Timothy Gilmartin; Daniel J Cook; Steven A Kay; John R Walker; Daniel R Salomon
Journal:  Am J Transplant       Date:  2004-09       Impact factor: 8.086

9.  Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.

Authors:  Wenqian Zhang; Ying Yu; Falk Hertwig; Jean Thierry-Mieg; Wenwei Zhang; Danielle Thierry-Mieg; Jian Wang; Cesare Furlanello; Viswanath Devanarayan; Jie Cheng; Youping Deng; Barbara Hero; Huixiao Hong; Meiwen Jia; Li Li; Simon M Lin; Yuri Nikolsky; André Oberthuer; Tao Qing; Zhenqiang Su; Ruth Volland; Charles Wang; May D Wang; Junmei Ai; Davide Albanese; Shahab Asgharzadeh; Smadar Avigad; Wenjun Bao; Marina Bessarabova; Murray H Brilliant; Benedikt Brors; Marco Chierici; Tzu-Ming Chu; Jibin Zhang; Richard G Grundy; Min Max He; Scott Hebbring; Howard L Kaufman; Samir Lababidi; Lee J Lancashire; Yan Li; Xin X Lu; Heng Luo; Xiwen Ma; Baitang Ning; Rosa Noguera; Martin Peifer; John H Phan; Frederik Roels; Carolina Rosswog; Susan Shao; Jie Shen; Jessica Theissen; Gian Paolo Tonini; Jo Vandesompele; Po-Yen Wu; Wenzhong Xiao; Joshua Xu; Weihong Xu; Jiekun Xuan; Yong Yang; Zhan Ye; Zirui Dong; Ke K Zhang; Ye Yin; Chen Zhao; Yuanting Zheng; Russell D Wolfinger; Tieliu Shi; Linda H Malkas; Frank Berthold; Jun Wang; Weida Tong; Leming Shi; Zhiyu Peng; Matthias Fischer
Journal:  Genome Biol       Date:  2015-06-25       Impact factor: 13.583

10.  The kSORT assay to detect renal transplant patients at high risk for acute rejection: results of the multicenter AART study.

Authors:  Silke Roedder; Tara Sigdel; Nathan Salomonis; Sue Hsieh; Hong Dai; Oriol Bestard; Diana Metes; Adriana Zeevi; Andrea Zeevi; Albin Gritsch; Jennifer Cheeseman; Camila Macedo; Ram Peddy; Mara Medeiros; Flavio Vincenti; Nancy Asher; Oscar Salvatierra; Ron Shapiro; Allan Kirk; Elaine F Reed; Elaine Reed; Minnie M Sarwal
Journal:  PLoS Med       Date:  2014-11-11       Impact factor: 11.069

View more
  11 in total

Review 1.  Biomarkers for posttransplantation outcomes.

Authors:  Sophie Paczesny
Journal:  Blood       Date:  2018-04-05       Impact factor: 22.113

2.  Single nucleotide variant counts computed from RNA sequencing and cellular traffic into human kidney allografts.

Authors:  Gaurav Thareja; Hua Yang; Shahina Hayat; Franco B Mueller; John R Lee; Michelle Lubetzky; Darshana M Dadhania; Aziz Belkadi; Surya V Seshan; Karsten Suhre; Manikkam Suthanthiran; Thangamani Muthukumar
Journal:  Am J Transplant       Date:  2018-05-15       Impact factor: 8.086

3.  Key driver genes as potential therapeutic targets in renal allograft rejection.

Authors:  Zhengzi Yi; Karen L Keung; Li Li; Min Hu; Bo Lu; Leigh Nicholson; Elvira Jimenez-Vera; Madhav C Menon; Chengguo Wei; Stephen Alexander; Barbara Murphy; Philip J O'Connell; Weijia Zhang
Journal:  JCI Insight       Date:  2020-08-06

4.  Discovery and cross-validation of peripheral blood and renal biopsy gene expression signatures from ethnically diverse kidney transplant populations.

Authors:  Carlucci G Ventura; Thomas Whisenant; Terri Gelbart; Daisa S R David; Fabiana Agena; Daniel R Salomon; Elias David-Neto; Sunil M Kurian
Journal:  Am J Transplant       Date:  2019-07-08       Impact factor: 8.086

5.  Peripheral Blood RNA Sequencing Unravels a Differential Signature of Coding and Noncoding Genes by Types of Kidney Allograft Rejection.

Authors:  Silvia Pineda; Swastika Sur; Tara Sigdel; Mark Nguyen; Elena Crespo; Alba Torija; Maria Meneghini; Montse Gomà; Marina Sirota; Oriol Bestard; Minnie M Sarwal
Journal:  Kidney Int Rep       Date:  2020-07-26

Review 6.  Molecular Assessment of Kidney Allografts: Are We Closer to a Daily Routine?

Authors:  A Trailin; P Hruba; O Viklicky
Journal:  Physiol Res       Date:  2020-03-23       Impact factor: 1.881

7.  An age-independent gene signature for monitoring acute rejection in kidney transplantation.

Authors:  Brian I Shaw; Daniel K Cheng; Chaitanya R Acharya; Robert B Ettenger; Herbert Kim Lyerly; Qing Cheng; Allan D Kirk; Eileen T Chambers
Journal:  Theranostics       Date:  2020-05-25       Impact factor: 11.556

8.  Reperfusion Activates AP-1 and Heat Shock Response in Donor Kidney Parenchyma after Warm Ischemia.

Authors:  Alexandr Reznik; Olga Plotnikova; Andrey Skvortsov; Mikhail Skoblov; Oleg Reznik; Ancha Baranova
Journal:  Biomed Res Int       Date:  2018-08-16       Impact factor: 3.411

9.  Activity-based protein profiling guided identification of urine proteinase 3 activity in subclinical rejection after renal transplantation.

Authors:  Mario Navarrete; Brice Korkmaz; Carla Guarino; Adam Lesner; Ying Lao; Julie Ho; Peter Nickerson; John A Wilkins
Journal:  Clin Proteomics       Date:  2020-06-16       Impact factor: 3.988

10.  A Rejection Gene Expression Score in Indication and Surveillance Biopsies Is Associated with Graft Outcome.

Authors:  Betty Chamoun; Anna Caraben; Irina B Torres; Joana Sellares; Raquel Jiménez; Néstor Toapanta; Ignacio Cidraque; Alejandra Gabaldon; Manel Perelló; Ricardo Gonzalo; Francisco O'Valle; Francesc Moreso; Daniel Serón
Journal:  Int J Mol Sci       Date:  2020-11-03       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.