Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy

Abstract Diabetes nephropathy (DN) is a prevalent and severe microvascular diabetic complication. Despite the recent developments in germacrone-based therapies for DN, the underlying mechanisms of germacrone in DN remain poorly understood. This study used comprehensive bioinformatics analysis to ide...

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Main Authors: Binqi Wang, Wenfang He, Zhixuan Xie, Jinshi Zhang, Yan Ren, Qiang He, Juan Jin
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-81944-4
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author Binqi Wang
Wenfang He
Zhixuan Xie
Jinshi Zhang
Yan Ren
Qiang He
Juan Jin
author_facet Binqi Wang
Wenfang He
Zhixuan Xie
Jinshi Zhang
Yan Ren
Qiang He
Juan Jin
author_sort Binqi Wang
collection DOAJ
description Abstract Diabetes nephropathy (DN) is a prevalent and severe microvascular diabetic complication. Despite the recent developments in germacrone-based therapies for DN, the underlying mechanisms of germacrone in DN remain poorly understood. This study used comprehensive bioinformatics analysis to identify critical microRNAs (miRNAs) and the potential underlying pathways related to germacrone activities. Additionally, we established a DN mice model, which was treated with germacrone, to investigate how it altered the miRNA transcriptome in mice kidneys. RNA sequencing was also performed on the DN mice model with and without germacrone pre-treatment. Based on our results, we found 23 miRNAs were differentially expressed in the DN group compared to the controls, and a total of 14 miRNAs were differentially expressed between the DN group and the germacrone-treated group. In addition, we identified three miRNAs (mmu-miR-542-5p, mmu-miR-149-5p and mmu-miR-196a-2-3p) that were upregulated with the DN group and downregulated in the germacrone-treated group. Bioinformatics analysis suggested that autophagy and apoptosis were related to the pathogenesis of DN and germacrone treatment. Subsequently, the expression level of mmu-miR-542-5p, mmu-miR-149-5p and mmu-miR-196a-2-3p were validated in a validation dataset. Altogether, these findings add important knowledge on the pathogenesis of DN and the impacts of germacrone.
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spelling doaj-art-2fbfa88601b7475abf0169ca223daea92025-01-05T12:27:38ZengNature PortfolioScientific Reports2045-23222024-12-0114111110.1038/s41598-024-81944-4Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathyBinqi Wang0Wenfang He1Zhixuan Xie2Jinshi Zhang3Yan Ren4Qiang He5Juan Jin6The First School of Clinical Medicine, Zhejiang Chinese Medical UniversityUrology & Nephrology Center, Department of Nephrology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College)Department of Nephrology, The First Affiliated Hospital of Wenzhou Medical UniversityThe First School of Clinical Medicine, Zhejiang Chinese Medical UniversityUrology & Nephrology Center, Department of Nephrology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College)Department of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)Department of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine)Abstract Diabetes nephropathy (DN) is a prevalent and severe microvascular diabetic complication. Despite the recent developments in germacrone-based therapies for DN, the underlying mechanisms of germacrone in DN remain poorly understood. This study used comprehensive bioinformatics analysis to identify critical microRNAs (miRNAs) and the potential underlying pathways related to germacrone activities. Additionally, we established a DN mice model, which was treated with germacrone, to investigate how it altered the miRNA transcriptome in mice kidneys. RNA sequencing was also performed on the DN mice model with and without germacrone pre-treatment. Based on our results, we found 23 miRNAs were differentially expressed in the DN group compared to the controls, and a total of 14 miRNAs were differentially expressed between the DN group and the germacrone-treated group. In addition, we identified three miRNAs (mmu-miR-542-5p, mmu-miR-149-5p and mmu-miR-196a-2-3p) that were upregulated with the DN group and downregulated in the germacrone-treated group. Bioinformatics analysis suggested that autophagy and apoptosis were related to the pathogenesis of DN and germacrone treatment. Subsequently, the expression level of mmu-miR-542-5p, mmu-miR-149-5p and mmu-miR-196a-2-3p were validated in a validation dataset. Altogether, these findings add important knowledge on the pathogenesis of DN and the impacts of germacrone.https://doi.org/10.1038/s41598-024-81944-4
spellingShingle Binqi Wang
Wenfang He
Zhixuan Xie
Jinshi Zhang
Yan Ren
Qiang He
Juan Jin
Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy
Scientific Reports
title Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy
title_full Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy
title_fullStr Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy
title_full_unstemmed Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy
title_short Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy
title_sort bioinformatics analysis of mirnas germacrone protection on diabetic nephropathy
url https://doi.org/10.1038/s41598-024-81944-4
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