Literature DB >> 24517436

Urinary cell mRNA profiles predictive of human kidney allograft status.

John R Lee1, Thangamani Muthukumar, Darshana Dadhania, Ruchuang Ding, Vijay K Sharma, Joseph E Schwartz, Manikkam Suthanthiran.   

Abstract

Kidney allograft status is currently characterized using the invasive percutaneous needle core biopsy procedure. The procedure has become safer over the years, but challenges and complications still exist including sampling error, interobserver variability, bleeding, arteriovenous fistula, graft loss, and even death. Because the most common type of acute rejection is distinguished by inflammatory cells exiting the intravascular compartment and gaining access to the renal tubular space, we reasoned that a kidney allograft may function as an in vivo flow cytometer and sort cells involved in rejection into urine. To test this idea, we developed quantitative polymerase chain reaction (PCR) assays for absolute quantification of mRNA and pre-amplification protocols to overcome the low RNA yield from urine. Here, we review our single center urinary cell mRNA profiling studies that led to the multicenter Clinical Trials in Organ Transplantation (CTOT-04) study and the discovery and validation of a 3-gene signature of 18S rRNA-normalized measures of CD3ε mRNA and IP-10 mRNA and 18S rRNA that is diagnostic and predictive of acute cellular rejection in the kidney allograft. We also review our development of a 4-gene signature of mRNAs for vimentin, NKCC2, E-cadherin, and 18S rRNA diagnostic of interstitial fibrosis/tubular atrophy (IF/TA).
© 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  PCR; acute cellular rejection; interstitial fibrosis; kidney transplantation; urinary cell mRNA profiling

Mesh:

Substances:

Year:  2014        PMID: 24517436      PMCID: PMC3947569          DOI: 10.1111/imr.12159

Source DB:  PubMed          Journal:  Immunol Rev        ISSN: 0105-2896            Impact factor:   12.988


  36 in total

1.  CD103 mRNA levels in urinary cells predict acute rejection of renal allografts.

Authors:  Ruchuang Ding; Baogui Li; Thangamani Muthukumar; Darshana Dadhania; Mara Medeiros; Choli Hartono; David Serur; Surya V Seshan; Vijay K Sharma; Sandip Kapur; Manikkam Suthanthiran
Journal:  Transplantation       Date:  2003-04-27       Impact factor: 4.939

2.  Subclinical rejection in tacrolimus-treated renal transplant recipients.

Authors:  James M Gloor; Ari J Cohen; Donna J Lager; Joseph P Grande; Mary E Fidler; Jorge A Velosa; Timothy S Larson; Thomas R Schwab; Matthew D Griffin; Mikel Prieto; Scott L Nyberg; Sylvester Sterioff; Walter K Kremers; Mark D Stegall
Journal:  Transplantation       Date:  2002-06-27       Impact factor: 4.939

3.  Protocol biopsy of the stable renal transplant: a multicenter study of methods and complication rates.

Authors:  Peter N Furness; Carl M Philpott; Mary T Chorbadjian; Michael L Nicholson; Jean-Louis Bosmans; Bob L Corthouts; Johannes J P M Bogers; Anke Schwarz; Wilfried Gwinner; Hermann Haller; Michael Mengel; Daniel Seron; Francesc Moreso; Conception Cañas
Journal:  Transplantation       Date:  2003-09-27       Impact factor: 4.939

4.  Serine proteinase inhibitor-9, an endogenous blocker of granzyme B/perforin lytic pathway, is hyperexpressed during acute rejection of renal allografts.

Authors:  Thangamani Muthukumar; Ruchuang Ding; Darshana Dadhania; Mara Medeiros; Baogui Li; Vijay K Sharma; Choli Hartono; David Serur; Surya V Seshan; Hans-Dieter Volk; Petra Reinke; Sandip Kapur; Manikkam Suthanthiran
Journal:  Transplantation       Date:  2003-05-15       Impact factor: 4.939

5.  Noninvasive detection of renal allograft inflammation by measurements of mRNA for IP-10 and CXCR3 in urine.

Authors:  Ravi Raju Tatapudi; Thangamani Muthukumar; Darshana Dadhania; Ruchuang Ding; Baogui Li; Vijay K Sharma; Elizabeth Lozada-Pastorio; Nagashree Seetharamu; Choli Hartono; David Serur; Surya V Seshan; Sandip Kapur; Wayne W Hancock; Manikkam Suthanthiran
Journal:  Kidney Int       Date:  2004-06       Impact factor: 10.612

6.  Expression of chemokine and fibrosing factor messenger RNA in the urinary sediment of patients with lupus nephritis.

Authors:  Rebecca Wing-Yan Chan; Fernand Mac-Moune Lai; Edmund Kwok-Ming Li; Lai-Shan Tam; Teresa Yuk-Hwa Wong; Carol Yi-Ki Szeto; Philip Kam-Tao Li; Cheuk-Chun Szeto
Journal:  Arthritis Rheum       Date:  2004-09

7.  Kidney allograft survival after acute rejection, the value of follow-up biopsies.

Authors:  M El Ters; J P Grande; M T Keddis; E Rodrigo; B Chopra; P G Dean; M D Stegall; F G Cosio
Journal:  Am J Transplant       Date:  2013-07-19       Impact factor: 8.086

8.  Noninvasive diagnosis of BK virus nephritis by measurement of messenger RNA for BK virus VP1 in urine.

Authors:  Ruchuang Ding; Mara Medeiros; Darshana Dadhania; Thangamani Muthukumar; David Kracker; Jin M Kong; Susanna R Epstein; Vijay K Sharma; Surya V Seshan; Baogui Li; Manikkam Suthanthiran
Journal:  Transplantation       Date:  2002-10-15       Impact factor: 4.939

9.  Donor-derived IP-10 initiates development of acute allograft rejection.

Authors:  W W Hancock; W Gao; V Csizmadia; K L Faia; N Shemmeri; A D Luster
Journal:  J Exp Med       Date:  2001-04-16       Impact factor: 14.307

10.  Requirement of the chemokine receptor CXCR3 for acute allograft rejection.

Authors:  W W Hancock; B Lu; W Gao; V Csizmadia; K Faia; J A King; S T Smiley; M Ling; N P Gerard; C Gerard
Journal:  J Exp Med       Date:  2000-11-20       Impact factor: 14.307

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  17 in total

1.  Report from IPITA-TTS Opinion Leaders Meeting on the Future of β-Cell Replacement.

Authors:  Stephen T Bartlett; James F Markmann; Paul Johnson; Olle Korsgren; Bernhard J Hering; David Scharp; Thomas W H Kay; Jonathan Bromberg; Jon S Odorico; Gordon C Weir; Nancy Bridges; Raja Kandaswamy; Peter Stock; Peter Friend; Mitsukazu Gotoh; David K C Cooper; Chung-Gyu Park; Phillip OʼConnell; Cherie Stabler; Shinichi Matsumoto; Barbara Ludwig; Pratik Choudhary; Boris Kovatchev; Michael R Rickels; Megan Sykes; Kathryn Wood; Kristy Kraemer; Albert Hwa; Edward Stanley; Camillo Ricordi; Mark Zimmerman; Julia Greenstein; Eduard Montanya; Timo Otonkoski
Journal:  Transplantation       Date:  2016-02       Impact factor: 4.939

Review 2.  Translational implications of endothelial cell dysfunction in association with chronic allograft rejection.

Authors:  Sarah Bruneau; Johannes Wedel; Fadi Fakhouri; Hironao Nakayama; Leo Boneschansker; Daniel Irimia; Kevin P Daly; David M Briscoe
Journal:  Pediatr Nephrol       Date:  2015-04-24       Impact factor: 3.714

3.  Editorial: autoimmunity to vimentin and lupus nephritis.

Authors:  Anne Davidson
Journal:  Arthritis Rheumatol       Date:  2014-12       Impact factor: 10.995

4.  Urinary cell transcriptomics and acute rejection in human kidney allografts.

Authors:  Akanksha Verma; Thangamani Muthukumar; Hua Yang; Michelle Lubetzky; Michael F Cassidy; John R Lee; Darshana M Dadhania; Catherine Snopkowski; Divya Shankaranarayanan; Steven P Salvatore; Vijay K Sharma; Jenny Z Xiang; Iwijn De Vlaminck; Surya V Seshan; Franco B Mueller; Karsten Suhre; Olivier Elemento; Manikkam Suthanthiran
Journal:  JCI Insight       Date:  2020-02-27

Review 5.  Allograft rejection and tubulointerstitial fibrosis in human kidney allografts: interrogation by urinary cell mRNA profiling.

Authors:  Thangamani Muthukumar; John R Lee; Darshana M Dadhania; Ruchuang Ding; Vijay K Sharma; Joseph E Schwartz; Manikkam Suthanthiran
Journal:  Transplant Rev (Orlando)       Date:  2014-05-27       Impact factor: 3.943

Review 6.  An overview of frailty in kidney transplantation: measurement, management and future considerations.

Authors:  Meera N Harhay; Maya K Rao; Kenneth J Woodside; Kirsten L Johansen; Krista L Lentine; Stefan G Tullius; Ronald F Parsons; Tarek Alhamad; Joseph Berger; XingXing S Cheng; Jaqueline Lappin; Raymond Lynch; Sandesh Parajuli; Jane C Tan; Dorry L Segev; Bruce Kaplan; Jon Kobashigawa; Darshana M Dadhania; Mara A McAdams-DeMarco
Journal:  Nephrol Dial Transplant       Date:  2020-07-01       Impact factor: 5.992

Review 7.  Urinary Cell mRNA Profiles Predictive of Human Kidney Allograft Status.

Authors:  Michelle L Lubetzky; Thalia Salinas; Joseph E Schwartz; Manikkam Suthanthiran
Journal:  Clin J Am Soc Nephrol       Date:  2021-04-27       Impact factor: 10.614

8.  Feature selection and classification of urinary mRNA microarray data by iterative random forest to diagnose renal fibrosis: a two-stage study.

Authors:  Le-Ting Zhou; Yu-Han Cao; Lin-Li Lv; Kun-Ling Ma; Ping-Sheng Chen; Hai-Feng Ni; Xiang-Dong Lei; Bi-Cheng Liu
Journal:  Sci Rep       Date:  2017-01-03       Impact factor: 4.379

Review 9.  Computational Models for Transplant Biomarker Discovery.

Authors:  Anyou Wang; Minnie M Sarwal
Journal:  Front Immunol       Date:  2015-09-08       Impact factor: 7.561

10.  A Computational Gene Expression Score for Predicting Immune Injury in Renal Allografts.

Authors:  Tara K Sigdel; Oriol Bestard; Tim Q Tran; Szu-Chuan Hsieh; Silke Roedder; Izabella Damm; Flavio Vincenti; Minnie M Sarwal
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

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