Literature DB >> 27232948

Urinary mRNA for the Diagnosis of Renal Allograft Rejection: The Issue of Normalization.

P Galichon1,2,3, L Amrouche4, A Hertig1,2,3, I Brocheriou1,2,5, M Rabant6, Y-C Xu-Dubois1, N Ouali3, K Dahan7, L Morin8, F Terzi4, E Rondeau1,2,3, D Anglicheau4,8,9,10.   

Abstract

Urinary messenger RNA (mRNA) quantification is a promising method for noninvasive diagnosis of renal allograft rejection (AR), but the quantification of mRNAs in urine remains challenging due to degradation. RNA normalization may be warranted to overcome these issues, but the strategies of gene normalization have been poorly evaluated. Herein, we address this issue in a case-control study of 108 urine samples collected at time of allograft biopsy in kidney recipients with (n = 52) or without (n = 56) AR by comparing the diagnostic value of IP-10 and CD3ε mRNAs-two biomarkers of AR-after normalization by the total amount of RNA, normalization by one of the three widely used reference RNAs-18S, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and Hypoxanthine-guanine phosphoribosyltransferase (HPRT)-or normalization using uroplakin 1A (UPK) mRNA as a possible urine-specific reference mRNA. Our results show that normalization based on the total quantity of RNA is not substantially improved by additional normalization and may even be worsened with some classical reference genes that are overexpressed during rejection. However, considering that normalization by a reference gene is necessary to ensure polymerase chain reaction (PCR) quality and reproducibility and to suppress the effect of RNA degradation, we suggest that GAPDH and UPK1A are preferable to 18S or HPRT RNA. © Copyright 2016 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  clinical research/practice; diagnostic techniques and imaging; kidney transplantation/nephrology; molecular biology; molecular biology: mRNA/mRNA expression; rejection: acute; translational research/science

Mesh:

Substances:

Year:  2016        PMID: 27232948     DOI: 10.1111/ajt.13891

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


  9 in total

Review 1.  Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.

Authors:  Madhav C Menon; Barbara Murphy; Peter S Heeger
Journal:  J Am Soc Nephrol       Date:  2017-01-06       Impact factor: 10.121

Review 2.  Advances in Detection of Kidney Transplant Injury.

Authors:  Sanjeeva Herath; Jonathan Erlich; Amy Y M Au; Zoltán H Endre
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

Review 3.  Precision Transplant Medicine: Biomarkers to the Rescue.

Authors:  Maarten Naesens; Dany Anglicheau
Journal:  J Am Soc Nephrol       Date:  2017-10-09       Impact factor: 10.121

4.  Both absolute and relative quantification of urinary mRNA are useful for non-invasive diagnosis of acute kidney allograft rejection.

Authors:  Jung-Woo Seo; Haena Moon; Se-Yun Kim; Ju-Young Moon; Kyung Hwan Jeong; Yu-Ho Lee; Yang-Gyun Kim; Tae-Won Lee; Chun-Gyoo Ihm; Chan-Duck Kim; Byung Ha Chung; Yeong Hoon Kim; Sang Ho Lee
Journal:  PLoS One       Date:  2017-06-27       Impact factor: 3.240

Review 5.  Urinary Biomarkers for Chronic Kidney Disease with a Focus on Gene Transcript.

Authors:  Lin-Li Lyu; Ye Feng; Bi-Cheng Liu
Journal:  Chin Med J (Engl)       Date:  2017-09-20       Impact factor: 2.628

6.  Augmented transcripts of kidney injury markers and renin angiotensin system in urine samples of overweight young adults.

Authors:  Patricia Rivera; Catalina Miranda; Nicole Roldán; Aaron Guerrero; Javier Olave; Pilar Cárdenas; Quynh My Nguyen; Modar Kassan; Alexis A Gonzalez
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

7.  Urinary mRNA Signatures as Predictors of Renal Function Decline in Patients With Biopsy-Proven Diabetic Kidney Disease.

Authors:  Yu Ho Lee; Jung-Woo Seo; Miji Kim; Donghyun Tae; Junhee Seok; Yang Gyun Kim; Sang-Ho Lee; Jin Sug Kim; Hyeon Seok Hwang; Kyung-Hwan Jeong; Ju-Young Moon
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-09       Impact factor: 5.555

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

9.  Non-Invasive Diagnosis for Acute Rejection Using Urinary mRNA Signature Reflecting Allograft Status in Kidney Transplantation.

Authors:  Jung-Woo Seo; Yu Ho Lee; Dong Hyun Tae; Seon Hwa Park; Ju-Young Moon; Kyung Hwan Jeong; Chan-Duck Kim; Byung Ha Chung; Jae Berm Park; Yeong Hoon Kim; Junhee Seok; Sun Hyung Joo; Seung Hwan Lee; Jong Soo Lee; Sang-Ho Lee
Journal:  Front Immunol       Date:  2021-06-10       Impact factor: 7.561

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.