Literature DB >> 29286578

RNA expression profiling of renal allografts in a nonhuman primate identifies variation in NK and endothelial gene expression.

R N Smith1, B A Adam2, I A Rosales1, M Matsunami3, T Oura3, A B Cosimi3, T Kawai3, M Mengel2, R B Colvin1.   

Abstract

RNA transcript expression estimates are a promising method to study the mechanisms and classification of renal allograft rejections. Here we use the Nanostring platform to profile RNA expression in renal allografts in a nonhuman primate (NHP), the Cynomolgus monkey. We analyzed protocol and indication 278 archival renal allograft samples, both protocol and indication from 76 animals with diagnoses of chronic antibody-mediated rejection (CAMR), acute cellular rejection (TCMR), and MIXED (both CAMR and TCMR), plus normals and samples with no pathological rejection using a Cynomolgus-specific probe set of 67 genes. Analysis identified RNA expression heterogeneity of endothelial and NK genes within CAMR and TCMR, including the stages of CAMR. Three factors were partitioned into additional groups. One group with the longest allograft survival time is pure CAMR without NK or CD3. Three mixed groups show variation in NK and CD3. TCMR was split into 2 groups with variation in NK genes. Additional validation of the complete gene-set correlated many of the genes with diagnoses of CAMR, MIXED, and TCMR rejections and with Banff histologic criteria defined in human subjects. These NHP data demonstrate the utility of RNA expression profiling to identify additional heterogeneity of endothelial and NK RNA gene expressions.
© 2018 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  basic (laboratory) research/science; kidney (allograft) function/dysfunction; kidney transplantation/nephrology; rejection; translational research/science

Mesh:

Year:  2018        PMID: 29286578      PMCID: PMC5992005          DOI: 10.1111/ajt.14639

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


  35 in total

1.  CD154 blockade for induction of mixed chimerism and prolonged renal allograft survival in nonhuman primates.

Authors:  Tatsuo Kawai; Hiroshi Sogawa; Svetlan Boskovic; Gregory Abrahamian; Rex-Neal Smith; Siew-Lin Wee; David Andrews; Ognjenka Nadazdin; Ichiro Koyama; Megan Sykes; Henry J Winn; Robert B Colvin; David H Sachs; A Benedict Cosimi
Journal:  Am J Transplant       Date:  2004-09       Impact factor: 8.086

2.  What is the significance of subclinical inflammation in human renal allografts? It depends!

Authors:  Michael Mengel
Journal:  Transplantation       Date:  2012-01-15       Impact factor: 4.939

3.  Microarrays and transcriptome analysis in renal transplantation.

Authors:  Philip F Halloran; Gunilla Einecke
Journal:  Nat Clin Pract Nephrol       Date:  2006-01

4.  Direct multiplexed measurement of gene expression with color-coded probe pairs.

Authors:  Gary K Geiss; Roger E Bumgarner; Brian Birditt; Timothy Dahl; Naeem Dowidar; Dwayne L Dunaway; H Perry Fell; Sean Ferree; Renee D George; Tammy Grogan; Jeffrey J James; Malini Maysuria; Jeffrey D Mitton; Paola Oliveri; Jennifer L Osborn; Tao Peng; Amber L Ratcliffe; Philippa J Webster; Eric H Davidson; Leroy Hood; Krassen Dimitrov
Journal:  Nat Biotechnol       Date:  2008-02-17       Impact factor: 54.908

5.  Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.

Authors:  Pierre Saint-Mezard; Céline C Berthier; Hai Zhang; Alexandre Hertig; Sergio Kaiser; Martin Schumacher; Grazyna Wieczorek; Marc Bigaud; Jeanne Kehren; Eric Rondeau; Friedrich Raulf; Hans-Peter Marti
Journal:  Transpl Int       Date:  2008-11-06       Impact factor: 3.782

6.  Functionally significant renal allograft rejection is defined by transcriptional criteria.

Authors:  Steven C Hoffmann; Douglas A Hale; David E Kleiner; Roslyn B Mannon; Robert L Kampen; Lynn M Jacobson; Linda C Cendales; S John Swanson; Bryan N Becker; Allan D Kirk
Journal:  Am J Transplant       Date:  2005-03       Impact factor: 8.086

7.  Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling.

Authors:  Minnie Sarwal; Mei-Sze Chua; Neeraja Kambham; Szu-Chuan Hsieh; Thomas Satterwhite; Marilyn Masek; Oscar Salvatierra
Journal:  N Engl J Med       Date:  2003-07-10       Impact factor: 91.245

8.  Four stages and lack of stable accommodation in chronic alloantibody-mediated renal allograft rejection in Cynomolgus monkeys.

Authors:  R N Smith; T Kawai; S Boskovic; O Nadazdin; D H Sachs; A B Cosimi; R B Colvin
Journal:  Am J Transplant       Date:  2008-06-28       Impact factor: 8.086

9.  Joint genetic analysis of gene expression data with inferred cellular phenotypes.

Authors:  Leopold Parts; Oliver Stegle; John Winn; Richard Durbin
Journal:  PLoS Genet       Date:  2011-01-20       Impact factor: 5.917

10.  A common rejection module (CRM) for acute rejection across multiple organs identifies novel therapeutics for organ transplantation.

Authors:  Purvesh Khatri; Silke Roedder; Naoyuki Kimura; Katrien De Vusser; Alexander A Morgan; Yongquan Gong; Michael P Fischbein; Robert C Robbins; Maarten Naesens; Atul J Butte; Minnie M Sarwal
Journal:  J Exp Med       Date:  2013-10-14       Impact factor: 14.307

View more
  5 in total

Review 1.  Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring.

Authors:  Michelle A Wood-Trageser; Andrew J Lesniak; Anthony J Demetris
Journal:  Transplantation       Date:  2019-07       Impact factor: 4.939

2.  Erythropoietin inhibits SGK1-dependent TH17 induction and TH17-dependent kidney disease.

Authors:  Chiara Donadei; Andrea Angeletti; Chiara Cantarelli; Vivette D D'Agati; Gaetano La Manna; Enrico Fiaccadori; Julian K Horwitz; Huabao Xiong; Chiara Guglielmo; Susan Hartzell; Joren C Madsen; Umberto Maggiore; Peter S Heeger; Paolo Cravedi
Journal:  JCI Insight       Date:  2019-04-23

3.  Immunomics of Renal Allograft Acute T Cell-Mediated Rejection Biopsies of Tacrolimus- and Belatacept-Treated Patients.

Authors:  Marieke van der Zwan; Carla C Baan; Robert B Colvin; Rex N Smith; Rebecca A White; Dorothy Ndishabandi; Alex L Nigg; Thierry P P van den Bosch; Gretchen N de Graav; Marian C Clahsen-van Groningen; Dennis A Hesselink
Journal:  Transplant Direct       Date:  2018-12-20

4.  In-silico performance, validation, and modeling of the Nanostring Banff Human Organ transplant gene panel using archival data from human kidney transplants.

Authors:  R N Smith
Journal:  BMC Med Genomics       Date:  2021-03-19       Impact factor: 3.063

5.  Banff 2019 Meeting Report: Molecular diagnostics in solid organ transplantation-Consensus for the Banff Human Organ Transplant (B-HOT) gene panel and open source multicenter validation.

Authors:  Michael Mengel; Alexandre Loupy; Mark Haas; Candice Roufosse; Maarten Naesens; Enver Akalin; Marian C Clahsen-van Groningen; Jessy Dagobert; Anthony J Demetris; Jean-Paul Duong van Huyen; Juliette Gueguen; Fadi Issa; Blaise Robin; Ivy Rosales; Jan H Von der Thüsen; Alberto Sanchez-Fueyo; Rex N Smith; Kathryn Wood; Benjamin Adam; Robert B Colvin
Journal:  Am J Transplant       Date:  2020-06-27       Impact factor: 9.369

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.