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Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury
BACKGROUND: There is little known about the contribution of microRNAs (miRNAs) in the recovery from acute kidney injury (AKI). This study aimed to discover and validate miRNA profiles for predicting renal recovery from severe AKI. PATIENTS AND METHODS: A prospective observational study was conducted...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523985/ https://www.ncbi.nlm.nih.gov/pubmed/36180946 http://dx.doi.org/10.1186/s40560-022-00637-0 |
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author | Phulkerd, Thanawat Lertussavavivat, Tanat Limothai, Umaporn Peerapornratana, Sadudee Kulvichit, Win Lumlertgul, Nuttha Tungsanga, Kriang Eiam-Ong, Somchai Avihingsanon, Yingyos Srisawat, Nattachai |
author_facet | Phulkerd, Thanawat Lertussavavivat, Tanat Limothai, Umaporn Peerapornratana, Sadudee Kulvichit, Win Lumlertgul, Nuttha Tungsanga, Kriang Eiam-Ong, Somchai Avihingsanon, Yingyos Srisawat, Nattachai |
author_sort | Phulkerd, Thanawat |
collection | PubMed |
description | BACKGROUND: There is little known about the contribution of microRNAs (miRNAs) in the recovery from acute kidney injury (AKI). This study aimed to discover and validate miRNA profiles for predicting renal recovery from severe AKI. PATIENTS AND METHODS: A prospective observational study was conducted between June 2020 and January 2021. Urine and serum samples of participants with AKI stage 3 were collected from two groups: renal recovery and renal non-recovery. Transcriptomic analysis was performed using nCounter miRNA Expression Assay. Expression levels of candidate miRNAs were validated using quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: The discovery phase identified 18 and 11 differentially expressed miRNAs that were statistically significant between the two groups in urine and serum specimens, respectively. Top candidate miRNAs selected included miR-556-3p, miR-1915-3p, miR-4284, miR-32-5p, miR-96-5p, and miR-556-5p in urine, and miR-499b-5p, miR-30a-3p, miR-92b-3p and miR-770-5p in serum. This study enrolled 110 participants in the validation phase. The qRT-PCR analysis indicated that urine miR-556-3p was significantly higher in the renal recovery group than in the renal non-recovery group. Urine miR-556-3p alone predicted renal recovery with an area under the curve (AUC) of 0.64 (95%CI 0.52–0.75, p = 0.03). Combining the clinical model with urine miR-556-3p predicted renal recovery with an AUC of 0.83 (95%CI 0.75–0.92, p < 0.01). CONCLUSION: This data provides evidence that microtranscriptome profiles of severe AKI patients with renal recovery differed from the non-recovery group. Urine miR-556-3p had the potential to improve the prediction of renal recovery from severe AKI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40560-022-00637-0. |
format | Online Article Text |
id | pubmed-9523985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95239852022-10-01 Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury Phulkerd, Thanawat Lertussavavivat, Tanat Limothai, Umaporn Peerapornratana, Sadudee Kulvichit, Win Lumlertgul, Nuttha Tungsanga, Kriang Eiam-Ong, Somchai Avihingsanon, Yingyos Srisawat, Nattachai J Intensive Care Research BACKGROUND: There is little known about the contribution of microRNAs (miRNAs) in the recovery from acute kidney injury (AKI). This study aimed to discover and validate miRNA profiles for predicting renal recovery from severe AKI. PATIENTS AND METHODS: A prospective observational study was conducted between June 2020 and January 2021. Urine and serum samples of participants with AKI stage 3 were collected from two groups: renal recovery and renal non-recovery. Transcriptomic analysis was performed using nCounter miRNA Expression Assay. Expression levels of candidate miRNAs were validated using quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: The discovery phase identified 18 and 11 differentially expressed miRNAs that were statistically significant between the two groups in urine and serum specimens, respectively. Top candidate miRNAs selected included miR-556-3p, miR-1915-3p, miR-4284, miR-32-5p, miR-96-5p, and miR-556-5p in urine, and miR-499b-5p, miR-30a-3p, miR-92b-3p and miR-770-5p in serum. This study enrolled 110 participants in the validation phase. The qRT-PCR analysis indicated that urine miR-556-3p was significantly higher in the renal recovery group than in the renal non-recovery group. Urine miR-556-3p alone predicted renal recovery with an area under the curve (AUC) of 0.64 (95%CI 0.52–0.75, p = 0.03). Combining the clinical model with urine miR-556-3p predicted renal recovery with an AUC of 0.83 (95%CI 0.75–0.92, p < 0.01). CONCLUSION: This data provides evidence that microtranscriptome profiles of severe AKI patients with renal recovery differed from the non-recovery group. Urine miR-556-3p had the potential to improve the prediction of renal recovery from severe AKI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40560-022-00637-0. BioMed Central 2022-09-30 /pmc/articles/PMC9523985/ /pubmed/36180946 http://dx.doi.org/10.1186/s40560-022-00637-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Phulkerd, Thanawat Lertussavavivat, Tanat Limothai, Umaporn Peerapornratana, Sadudee Kulvichit, Win Lumlertgul, Nuttha Tungsanga, Kriang Eiam-Ong, Somchai Avihingsanon, Yingyos Srisawat, Nattachai Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury |
title | Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury |
title_full | Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury |
title_fullStr | Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury |
title_full_unstemmed | Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury |
title_short | Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury |
title_sort | circulating and urinary micrornas profile for predicting renal recovery from severe acute kidney injury |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523985/ https://www.ncbi.nlm.nih.gov/pubmed/36180946 http://dx.doi.org/10.1186/s40560-022-00637-0 |
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