Literature DB >> 32102984

Urinary cell transcriptomics and acute rejection in human kidney allografts.

Akanksha Verma1,2,3,4, Thangamani Muthukumar5,6, Hua Yang5, Michelle Lubetzky5,6, Michael F Cassidy5, John R Lee5,6, Darshana M Dadhania5,6, Catherine Snopkowski5, Divya Shankaranarayanan5,6, Steven P Salvatore7, Vijay K Sharma5, Jenny Z Xiang8, Iwijn De Vlaminck9, Surya V Seshan7, Franco B Mueller5, Karsten Suhre10, Olivier Elemento1,2,3, Manikkam Suthanthiran5,6.   

Abstract

BACKGROUNDRNA sequencing (RNA-Seq) is a molecular tool to analyze global transcriptional changes, deduce pathogenic mechanisms, and discover biomarkers. We performed RNA-Seq to investigate gene expression and biological pathways in urinary cells and kidney allograft biopsies during an acute rejection episode and to determine whether urinary cell gene expression patterns are enriched for biopsy transcriptional profiles.METHODSWe performed RNA-Seq of 57 urine samples collected from 53 kidney allograft recipients (patients) with biopsies classified as acute T cell-mediated rejection (TCMR; n = 22), antibody-mediated rejection (AMR; n = 8), or normal/nonspecific changes (No Rejection; n = 27). We also performed RNA-Seq of 49 kidney allograft biopsies from 49 recipients with biopsies classified as TCMR (n = 12), AMR (n = 17), or No Rejection (n = 20). We analyzed RNA-Seq data for differential gene expression, biological pathways, and gene set enrichment across diagnoses and across biospecimens.RESULTSWe identified unique and shared gene signatures associated with biological pathways during an episode of TCMR or AMR compared with No Rejection. Gene Set Enrichment Analysis demonstrated enrichment for TCMR biopsy signature and AMR biopsy signature in TCMR urine and AMR urine, irrespective of whether the biopsy and urine were from the same or different patients. Cell type enrichment analysis revealed a diverse cellular landscape with an enrichment of immune cell types in urinary cells compared with biopsies.CONCLUSIONSRNA-Seq of urinary cells and biopsies, in addition to identifying enriched gene signatures and pathways associated with TCMR or AMR, revealed genomic changes between TCMR and AMR, as well as between allograft biopsies and urinary cells.

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Keywords:  Molecular diagnosis; Transcription; Transplantation

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Year:  2020        PMID: 32102984      PMCID: PMC7101135          DOI: 10.1172/jci.insight.131552

Source DB:  PubMed          Journal:  JCI Insight        ISSN: 2379-3708


  48 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.  Granule-associated serine proteases: granzymes might not just be killer proteases.

Authors:  Christopher J Froelich; Julian Pardo; Markus M Simon
Journal:  Trends Immunol       Date:  2009-02-13       Impact factor: 16.687

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.  Kidney allograft failure in the steroid-free immunosuppression era: A matched case-control study.

Authors:  Mohamad M Alkadi; Jim Kim; Meredith J Aull; Joseph E Schwartz; John R Lee; Anthony Watkins; Jun B Lee; Darshana M Dadhania; Surya V Seshan; David Serur; Sandip Kapur; Manikkam Suthanthiran; Choli Hartono; Thangamani Muthukumar
Journal:  Clin Transplant       Date:  2017-11       Impact factor: 2.863

5.  Nature, timing, and severity of complications from ultrasound-guided percutaneous renal transplant biopsy.

Authors:  Robert R Redfield; Kasi R McCune; Avinash Rao; Elizabeth Sadowski; Meghan Hanson; Amanda J Kolterman; Jessica Robbins; Kristie Guite; Maha Mohamed; Sandesh Parajuli; Didier A Mandelbrot; Brad C Astor; Arjang Djamali
Journal:  Transpl Int       Date:  2016-02       Impact factor: 3.782

6.  Differential expression of beta-chemokines MCP-1 and RANTES and their receptors CCR1, CCR2, CCR5 in acute rejection and chronic allograft nephropathy of human renal allografts.

Authors:  M Rüster; H Sperschneider; R Fünfstück; G Stein; H J Gröne
Journal:  Clin Nephrol       Date:  2004-01       Impact factor: 0.975

7.  Belatacept and Long-Term Outcomes in Kidney Transplantation.

Authors:  Flavio Vincenti; Lionel Rostaing; Joseph Grinyo; Kim Rice; Steven Steinberg; Luis Gaite; Marie-Christine Moal; Guillermo A Mondragon-Ramirez; Jatin Kothari; Martin S Polinsky; Herwig-Ulf Meier-Kriesche; Stephane Munier; Christian P Larsen
Journal:  N Engl J Med       Date:  2016-01-28       Impact factor: 91.245

8.  World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

Authors: 
Journal:  JAMA       Date:  2013-11-27       Impact factor: 56.272

9.  Comparison of RNA-Seq and microarray in transcriptome profiling of activated T cells.

Authors:  Shanrong Zhao; Wai-Ping Fung-Leung; Anton Bittner; Karen Ngo; Xuejun Liu
Journal:  PLoS One       Date:  2014-01-16       Impact factor: 3.240

10.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

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  8 in total

1.  Urinary Cell Transcriptome Profiling and Identification of ITM2A, SLAMF6, and IKZF3 as Biomarkers of Acute Rejection in Human Kidney Allografts.

Authors:  Bryan J Dooley; Akanksha Verma; Ruchuang Ding; Hua Yang; Thangamani Muthukumar; Michele Lubetzky; Divya Shankaranarayanan; Olivier Elemento; Manikkam Suthanthiran
Journal:  Transplant Direct       Date:  2020-07-22

Review 2.  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

3.  FOXP3 mRNA Profile Prognostic of Acute T Cell-mediated Rejection and Human Kidney Allograft Survival.

Authors:  Danny Luan; Darshana M Dadhania; Ruchuang Ding; Thangamani Muthukumar; Michelle Lubetzky; John R Lee; Vijay K Sharma; Phyllis August; Franco B Mueller; Joseph E Schwartz; Manikkam Suthanthiran
Journal:  Transplantation       Date:  2021-08-01       Impact factor: 5.385

4.  Pre-transplant Transcriptional Signature in Peripheral Blood Mononuclear Cells of Acute Renal Allograft Rejection.

Authors:  Wenyu Xiang; Shuai Han; Cuili Wang; Hongjun Chen; Lingling Shen; Tingting Zhu; Kai Wang; Wenjie Wei; Jing Qin; Nelli Shushakova; Song Rong; Hermann Haller; Hong Jiang; Jianghua Chen
Journal:  Front Med (Lausanne)       Date:  2022-01-07

5.  Assessing the Global Impact on the Mouse Kidney After Traumatic Brain Injury: A Transcriptomic Study.

Authors:  Wei-Chih Kan; Yi-Lin Chiu; Wei-Hung Chan; Yu-Juei Hsu; Chiao-Pei Cheng; Kuan-Nien Chou; Chin-Li Chen; Shih-Ming Huang
Journal:  J Inflamm Res       Date:  2022-08-24

6.  Consensus clustering of gene expression profiles in peripheral blood of acute ischemic stroke patients.

Authors:  Zhiyong Yang; Guanghui Wang; Nan Luo; Chi Kwan Tsang; Li'an Huang
Journal:  Front Neurol       Date:  2022-08-05       Impact factor: 4.086

Review 7.  Recent Advances on Biomarkers of Early and Late Kidney Graft Dysfunction.

Authors:  Marco Quaglia; Guido Merlotti; Gabriele Guglielmetti; Giuseppe Castellano; Vincenzo Cantaluppi
Journal:  Int J Mol Sci       Date:  2020-07-29       Impact factor: 5.923

8.  Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review.

Authors:  Francesco Guzzi; Luigi Cirillo; Elisa Buti; Francesca Becherucci; Carmela Errichiello; Rosa Maria Roperto; James P Hunter; Paola Romagnani
Journal:  Int J Mol Sci       Date:  2020-09-19       Impact factor: 5.923

  8 in total

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