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Urinary miR-196a predicts disease progression in patients with chronic kidney disease

BACKGROUND: Urinary miRNAs may potentially serve as noninvasive biomarkers in various kidney diseases to reflect disease activity, severity and progression, especially those correlated with the pathogenesis of kidney diseases. This study demonstrates that urinary miR-196a, a kidney-enriched miRNA, c...

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Autores principales: Zhang, Changming, Liang, Shaoshan, Cheng, Shuiqin, Li, Wei, Wang, Xia, Zheng, Chunxia, Zeng, Caihong, Shi, Shaolin, Xie, Lu, Zen, Ke, Liu, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5894160/
https://www.ncbi.nlm.nih.gov/pubmed/29636065
http://dx.doi.org/10.1186/s12967-018-1470-2
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author Zhang, Changming
Liang, Shaoshan
Cheng, Shuiqin
Li, Wei
Wang, Xia
Zheng, Chunxia
Zeng, Caihong
Shi, Shaolin
Xie, Lu
Zen, Ke
Liu, Zhihong
author_facet Zhang, Changming
Liang, Shaoshan
Cheng, Shuiqin
Li, Wei
Wang, Xia
Zheng, Chunxia
Zeng, Caihong
Shi, Shaolin
Xie, Lu
Zen, Ke
Liu, Zhihong
author_sort Zhang, Changming
collection PubMed
description BACKGROUND: Urinary miRNAs may potentially serve as noninvasive biomarkers in various kidney diseases to reflect disease activity, severity and progression, especially those correlated with the pathogenesis of kidney diseases. This study demonstrates that urinary miR-196a, a kidney-enriched miRNA, can predict progression of chronic kidney disease (CKD). METHODS: Focal segmental glomerulosclerosis (FSGS) cohorts were used as the representative example of CKD. First, correlation of miR-196a with disease activity was analyzed using paired urine and plasma samples from FSGS patients with nephrotic-range proteinuria (FSGS-A), complete remission (FSGS-CR) and normal controls (NCs). Then, the value of urinary miR-196a in predicting disease progression was validated using another cohort of 231 FSGS patients who were followed-up until over 36 months or reaching end-stage renal disease (ESRD). MiR-196a levels were analyzed by quantitative reverse transcription-polymerase chain reaction. RESULTS: The results showed that urinary miR-196a significantly increased in FSGS-A compared with FSGS-CR and NCs, clearly distinguishing FSGS-A from FSGS-CR and NCs, whereas plasma miR-196a showed no difference among these groups. Moreover, urinary miR-196a, which was associated with proteinuria, estimated glomerular filtration rate (eGFR), interstitial fibrosis and tubular atrophy, significantly increased in patients progressed to ESRD compared to those not. Furthermore, patients with higher urinary miR-196a displayed poorer renal survival than those with lower urinary miR-196a. Multivariate Cox analysis confirmed urinary miR-196a as an independent risk factor for FSGS progression after adjusting for age, sex, proteinuria and eGFR. Prediction accuracy of ESRD was significantly improved by combining urinary miR-196a with other indicators including eGFR and proteinuria. CONCLUSION: Urinary miR-196a may serve as a biomarker for predicting CKD progression ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1470-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-58941602018-04-12 Urinary miR-196a predicts disease progression in patients with chronic kidney disease Zhang, Changming Liang, Shaoshan Cheng, Shuiqin Li, Wei Wang, Xia Zheng, Chunxia Zeng, Caihong Shi, Shaolin Xie, Lu Zen, Ke Liu, Zhihong J Transl Med Research BACKGROUND: Urinary miRNAs may potentially serve as noninvasive biomarkers in various kidney diseases to reflect disease activity, severity and progression, especially those correlated with the pathogenesis of kidney diseases. This study demonstrates that urinary miR-196a, a kidney-enriched miRNA, can predict progression of chronic kidney disease (CKD). METHODS: Focal segmental glomerulosclerosis (FSGS) cohorts were used as the representative example of CKD. First, correlation of miR-196a with disease activity was analyzed using paired urine and plasma samples from FSGS patients with nephrotic-range proteinuria (FSGS-A), complete remission (FSGS-CR) and normal controls (NCs). Then, the value of urinary miR-196a in predicting disease progression was validated using another cohort of 231 FSGS patients who were followed-up until over 36 months or reaching end-stage renal disease (ESRD). MiR-196a levels were analyzed by quantitative reverse transcription-polymerase chain reaction. RESULTS: The results showed that urinary miR-196a significantly increased in FSGS-A compared with FSGS-CR and NCs, clearly distinguishing FSGS-A from FSGS-CR and NCs, whereas plasma miR-196a showed no difference among these groups. Moreover, urinary miR-196a, which was associated with proteinuria, estimated glomerular filtration rate (eGFR), interstitial fibrosis and tubular atrophy, significantly increased in patients progressed to ESRD compared to those not. Furthermore, patients with higher urinary miR-196a displayed poorer renal survival than those with lower urinary miR-196a. Multivariate Cox analysis confirmed urinary miR-196a as an independent risk factor for FSGS progression after adjusting for age, sex, proteinuria and eGFR. Prediction accuracy of ESRD was significantly improved by combining urinary miR-196a with other indicators including eGFR and proteinuria. CONCLUSION: Urinary miR-196a may serve as a biomarker for predicting CKD progression ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1470-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-10 /pmc/articles/PMC5894160/ /pubmed/29636065 http://dx.doi.org/10.1186/s12967-018-1470-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zhang, Changming
Liang, Shaoshan
Cheng, Shuiqin
Li, Wei
Wang, Xia
Zheng, Chunxia
Zeng, Caihong
Shi, Shaolin
Xie, Lu
Zen, Ke
Liu, Zhihong
Urinary miR-196a predicts disease progression in patients with chronic kidney disease
title Urinary miR-196a predicts disease progression in patients with chronic kidney disease
title_full Urinary miR-196a predicts disease progression in patients with chronic kidney disease
title_fullStr Urinary miR-196a predicts disease progression in patients with chronic kidney disease
title_full_unstemmed Urinary miR-196a predicts disease progression in patients with chronic kidney disease
title_short Urinary miR-196a predicts disease progression in patients with chronic kidney disease
title_sort urinary mir-196a predicts disease progression in patients with chronic kidney disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5894160/
https://www.ncbi.nlm.nih.gov/pubmed/29636065
http://dx.doi.org/10.1186/s12967-018-1470-2
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