Circulating and urinary microRNAs profile for predicting renal recovery from severe acute kidney injury
© 2022. The Author(s)..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:10 |
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| Enthalten in: |
Journal of intensive care - 10(2022), 1 vom: 30. Sept., Seite 45 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Phulkerd, Thanawat [VerfasserIn] |
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| Links: |
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| Themen: |
Acute kidney injury |
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| Anmerkungen: |
Date Revised 03.10.2022 published: Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1186/s40560-022-00637-0 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM346964547 |
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| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2022. The Author(s). | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Acute kidney injury | |
| 650 | 4 | |a Biomarker | |
| 650 | 4 | |a MicroRNAs | |
| 650 | 4 | |a Renal recovery | |
| 700 | 1 | |a Lertussavavivat, Tanat |e verfasserin |4 aut | |
| 700 | 1 | |a Limothai, Umaporn |e verfasserin |4 aut | |
| 700 | 1 | |a Peerapornratana, Sadudee |e verfasserin |4 aut | |
| 700 | 1 | |a Kulvichit, Win |e verfasserin |4 aut | |
| 700 | 1 | |a Lumlertgul, Nuttha |e verfasserin |4 aut | |
| 700 | 1 | |a Tungsanga, Kriang |e verfasserin |4 aut | |
| 700 | 1 | |a Eiam-Ong, Somchai |e verfasserin |4 aut | |
| 700 | 1 | |a Avihingsanon, Yingyos |e verfasserin |4 aut | |
| 700 | 1 | |a Srisawat, Nattachai |e verfasserin |4 aut | |
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