| Autor: |
Bo Sun, Liang Chen, Zhe Qu, Yan-Wei Yang, Yu-Fa Miao, Rui-Li Wang, Xiao-Bing Zhou, Bo Li |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Kidney and Dialysis, Vol 3, Iss 2, Pp 204-218 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2673-8236 |
| DOI: |
10.3390/kidneydial3020019 |
| Popis: |
microRNAs (miRNAs) are promising biomarkers for different pathological models because of their stable and detectable characters in biofluids. Here, we collected urine samples from 5 beagle dogs on the 3th, 6th, and 12th day in an acute kidney injury (AKI) caused by gentamycin. miRNA levels were measured with high-throughput sequencing and the results were then differentially investigated. Gene Ontology (GO) and KEGG pathway analysis were performed to analyze potential target genes corresponding to the differentially expressed miRNAs (DE-miRNAs). Relationships between hub genes and DE-miRNAs were analyzed with STRING and Cytoscape. We identified 234 DE-miRNAs 3, 6, and 12 days after gentamycin treatment (p < 0.05). Top 10 up- and down-regulated candidate target genes of DE-miRNAs were predicted by overlapping TargetScan and miRanda results). GO and KEGG analyses for DE-miRNAs demonstrated that the DE-miRNAs target genes are mainly involved in kidney injury-related pathways, such as the insulin signaling pathway, oxytocin signaling pathway, and hedgehog signaling pathway. The network of miRNA-hub genes suggests that miR-452, miR-106a, and 106b participate in regulating the largest number of hub genes. We evaluated the miRNA signature via a canine model built by gentamycin-caused acute kidney injury. Our results represent a valuable resource for evaluating miRNAs as biomarkers of renal toxicity. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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