Literature DB >> 33906907

Urinary Cell mRNA Profiles Predictive of Human Kidney Allograft Status.

Michelle L Lubetzky1,2, Thalia Salinas1,2, Joseph E Schwartz1,2,3, Manikkam Suthanthiran4,2.   

Abstract

Immune monitoring of kidney allograft recipients and personalized therapeutics may help reach the aspirational goal of "one transplant for life." The invasive kidney biopsy procedure, the diagnostic tool of choice, has become safer and the biopsy classification more refined. Nevertheless, biopsy-associated complications, interobserver variability in biopsy specimen scoring, and costs continue to be significant concerns. The dynamics of the immune repertoire make frequent assessments of allograft status necessary, but repeat biopsies of the kidney are neither practical nor safe. To address the existing challenges, we developed urinary cell mRNA profiling and investigated the diagnostic, prognostic, and predictive accuracy of absolute levels of a hypothesis-based panel of mRNAs encoding immunoregulatory proteins. Enabled by our refinements of the PCR assay and by investigating mechanistic hypotheses, our single-center studies identified urinary cell mRNAs associated with T cell-mediated rejection, antibody-mediated rejection, interstitial fibrosis and tubular atrophy, and BK virus nephropathy. In the multicenter National Institutes of Health Clinical Trials in Organ Transplantation-04, we discovered and validated a urinary cell three-gene signature of T-cell CD3 ε chain mRNA, interferon gamma inducible protein 10 (IP-10) mRNA, and 18s ribosomal RNA that is diagnostic of subclinical acute cellular rejection and acute cellular rejection and prognostic of acute cellular rejection and graft function. The trajectory of the signature score remained flat and below the diagnostic threshold for acute cellular rejection in the patients with no rejection biopsy specimens, whereas a sharp rise was observed during the weeks before the biopsy specimen that showed acute cellular rejection. Our RNA sequencing and bioinformatics identified kidney allograft biopsy specimen gene signatures of acute rejection to be enriched in urinary cells matched to acute rejection biopsy specimens. The urinary cellular landscape was more diverse and more enriched for immune cell types compared with kidney allograft biopsy specimens. Urinary cell mRNA profile-guided clinical trials are needed to evaluate their value compared with current standard of care.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  acute allograft rejection; allografts; gene expression; kidney biopsy; kidney transplantation; kidney transplantation series; mRNA; urinary cell mRNA

Mesh:

Substances:

Year:  2021        PMID: 33906907      PMCID: PMC8499006          DOI: 10.2215/CJN.14010820

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   10.614


  69 in total

1.  Noninvasive diagnosis of renal-allograft rejection by measurement of messenger RNA for perforin and granzyme B in urine.

Authors:  B Li; C Hartono; R Ding; V K Sharma; R Ramaswamy; B Qian; D Serur; J Mouradian; J E Schwartz; M Suthanthiran
Journal:  N Engl J Med       Date:  2001-03-29       Impact factor: 91.245

2.  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

3.  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

4.  Nucleic acids within urinary exosomes/microvesicles are potential biomarkers for renal disease.

Authors:  Kevin C Miranda; Daniel T Bond; Mary McKee; Johan Skog; Teodor G Păunescu; Nicolas Da Silva; Dennis Brown; Leileata M Russo
Journal:  Kidney Int       Date:  2010-04-28       Impact factor: 10.612

Review 5.  Pathogenesis of tubulointerstitial fibrosis in chronic allograft dysfunction.

Authors:  Frank Strutz
Journal:  Clin Transplant       Date:  2009-12       Impact factor: 2.863

6.  Noninvasive prognostication of polyomavirus BK virus-associated nephropathy.

Authors:  Darshana Dadhania; Catherine Snopkowski; Thangamani Muthukumar; John Lee; Ruchuang Ding; Vijay K Sharma; Paul Christos; Heejung Bang; Sandip Kapur; Surya V Seshan; Manikkam Suthanthiran
Journal:  Transplantation       Date:  2013-07-27       Impact factor: 4.939

7.  Urinary CXCL9 and CXCL10 levels correlate with the extent of subclinical tubulitis.

Authors:  S Schaub; P Nickerson; D Rush; M Mayr; C Hess; M Golian; W Stefura; K Hayglass
Journal:  Am J Transplant       Date:  2009-05-13       Impact factor: 8.086

8.  xCell: digitally portraying the tissue cellular heterogeneity landscape.

Authors:  Dvir Aran; Zicheng Hu; Atul J Butte
Journal:  Genome Biol       Date:  2017-11-15       Impact factor: 13.583

9.  Urinary cell-free DNA is a versatile analyte for monitoring infections of the urinary tract.

Authors:  Philip Burnham; Darshana Dadhania; Michael Heyang; Fanny Chen; Lars F Westblade; Manikkam Suthanthiran; John Richard Lee; Iwijn De Vlaminck
Journal:  Nat Commun       Date:  2018-06-20       Impact factor: 14.919

10.  A urinary microRNA panel that is an early predictive biomarker of delayed graft function following kidney transplantation.

Authors:  Usman Khalid; Lucy J Newbury; Kate Simpson; Robert H Jenkins; Timothy Bowen; Lucy Bates; Neil S Sheerin; Rafael Chavez; Donald J Fraser
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.