Abstract
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.