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Transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional Chinese medicine Kangxianling in a rat model

Renal interstitial fibrosis (RIF) is currently recognized as a crucial mechanism of the pathogenesis of chronic kidney disease (CKD). Kangxianling (KXL, anti-fibrin) is a traditional Chinese medicine that has been proven to significantly reduce the levels of ECM deposition and inhibit renal fibrosis...

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Autores principales: Jiang, Yufeng, Zhu, Yaohan, Zhen, Timing, Li, Jie, Xing, Kaichen, He, Liqun, Zhu, Sibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327068/
https://www.ncbi.nlm.nih.gov/pubmed/32606425
http://dx.doi.org/10.1038/s41598-020-67690-3
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author Jiang, Yufeng
Zhu, Yaohan
Zhen, Timing
Li, Jie
Xing, Kaichen
He, Liqun
Zhu, Sibo
author_facet Jiang, Yufeng
Zhu, Yaohan
Zhen, Timing
Li, Jie
Xing, Kaichen
He, Liqun
Zhu, Sibo
author_sort Jiang, Yufeng
collection PubMed
description Renal interstitial fibrosis (RIF) is currently recognized as a crucial mechanism of the pathogenesis of chronic kidney disease (CKD). Kangxianling (KXL, anti-fibrin) is a traditional Chinese medicine that has been proven to significantly reduce the levels of ECM deposition and inhibit renal fibrosis. To characterize the mechanisms and drug targets of KXL, we established a RIF rat model and treated the rats with KXL and losartan. Histological analyses validated the establishment of the RIF model and the treatment effect of KXL. Multiple levels of transcriptomic datasets were generated using lncRNA, mRNA and microRNA sequencing of kidney tissues. Functional annotations and pathway analyses were performed to unravel the therapeutic mechanisms. A multi-level transcriptomic regulatory network was built to illustrate the core factors in fibrosis pathogenesis and therapeutic regulation. KXL and losartan significantly reduced the progression of RIF, and a better therapeutic effect was shown with higher concentrations of KXL. According to the cluster analysis results of the RNA-seq data, the normal control (NC) and high concentration of KXL (HK) treatment groups were the closest in terms of differentially expressed genes. The WNT, TGF-β and MAPK pathways were enriched and dominated the pathogenesis and therapy of RIF. miR-15b, miR-21, and miR-6216 were upregulated and miR-107 was downregulated in the fibrosis model. These small RNAs were shown to play critical roles in the regulation of the above fibrosis-related genes and could be inhibited by KXL treatment. Finally, based on the lncRNA datasets, we constructed a mRNA-lncRNA-miRNA coexpression ceRNA network, which identified key regulatory factors in the pathogenesis of kidney fibrosis and therapeutic mechanisms of KXL. Our work revealed the potential mechanism of the Chinese medicine Kangxianling in inhibiting renal interstitial fibrosis and supported the clinical use of KXL in the treatment of kidney fibrosis.
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spelling pubmed-73270682020-07-01 Transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional Chinese medicine Kangxianling in a rat model Jiang, Yufeng Zhu, Yaohan Zhen, Timing Li, Jie Xing, Kaichen He, Liqun Zhu, Sibo Sci Rep Article Renal interstitial fibrosis (RIF) is currently recognized as a crucial mechanism of the pathogenesis of chronic kidney disease (CKD). Kangxianling (KXL, anti-fibrin) is a traditional Chinese medicine that has been proven to significantly reduce the levels of ECM deposition and inhibit renal fibrosis. To characterize the mechanisms and drug targets of KXL, we established a RIF rat model and treated the rats with KXL and losartan. Histological analyses validated the establishment of the RIF model and the treatment effect of KXL. Multiple levels of transcriptomic datasets were generated using lncRNA, mRNA and microRNA sequencing of kidney tissues. Functional annotations and pathway analyses were performed to unravel the therapeutic mechanisms. A multi-level transcriptomic regulatory network was built to illustrate the core factors in fibrosis pathogenesis and therapeutic regulation. KXL and losartan significantly reduced the progression of RIF, and a better therapeutic effect was shown with higher concentrations of KXL. According to the cluster analysis results of the RNA-seq data, the normal control (NC) and high concentration of KXL (HK) treatment groups were the closest in terms of differentially expressed genes. The WNT, TGF-β and MAPK pathways were enriched and dominated the pathogenesis and therapy of RIF. miR-15b, miR-21, and miR-6216 were upregulated and miR-107 was downregulated in the fibrosis model. These small RNAs were shown to play critical roles in the regulation of the above fibrosis-related genes and could be inhibited by KXL treatment. Finally, based on the lncRNA datasets, we constructed a mRNA-lncRNA-miRNA coexpression ceRNA network, which identified key regulatory factors in the pathogenesis of kidney fibrosis and therapeutic mechanisms of KXL. Our work revealed the potential mechanism of the Chinese medicine Kangxianling in inhibiting renal interstitial fibrosis and supported the clinical use of KXL in the treatment of kidney fibrosis. Nature Publishing Group UK 2020-06-30 /pmc/articles/PMC7327068/ /pubmed/32606425 http://dx.doi.org/10.1038/s41598-020-67690-3 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jiang, Yufeng
Zhu, Yaohan
Zhen, Timing
Li, Jie
Xing, Kaichen
He, Liqun
Zhu, Sibo
Transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional Chinese medicine Kangxianling in a rat model
title Transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional Chinese medicine Kangxianling in a rat model
title_full Transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional Chinese medicine Kangxianling in a rat model
title_fullStr Transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional Chinese medicine Kangxianling in a rat model
title_full_unstemmed Transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional Chinese medicine Kangxianling in a rat model
title_short Transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional Chinese medicine Kangxianling in a rat model
title_sort transcriptomic analysis of the mechanisms of alleviating renal interstitial fibrosis using the traditional chinese medicine kangxianling in a rat model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327068/
https://www.ncbi.nlm.nih.gov/pubmed/32606425
http://dx.doi.org/10.1038/s41598-020-67690-3
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