Skip to content
naulon
Not checkedNot checked for notices yet.

Prediction of the Potential Mechanism of Triptolide in Improving Diabetic Nephropathy by Utilizing A Network Pharmacology and Molecular Docking Approach

Xiaofei An, Decai Fan, Zi Yin and 4 more

Frontiers in Bioscience-Landmark · 2022

doi:10.31083/j.fbl2703094 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Background: Triptolide (TP) is a major active component of colquhounia root tablet, which has been long been used in China to treat diabetic nephropathy (DN) due to its marked anti‑inflammatory, antiproteinuric, and podocyte‑protective effects. Methods: This study investigated the anti-proteinuria activity and related signaling cascade of TP in DN by utilizing a network pharmacology and molecular docking approach. Results: From the GeneCard, DisGeNET, and National Center for Biotechnology Information Gene databases, 1458 DN targets were obtained and input together with 303 TP targets into Venny2.1.0 for mapping and comparing. In total, 113 common targets of TP and DN were obtained, of which 7 targets were found to play an important role through theoretical inhibitory constant analysis. The common targets were further analyzed by Kyoto Encyclopedia of Genes and Genomes to identify the pathways related to the therapeutic effect of TP on DN. Among them, the seven targets were found to play key roles in six signaling pathways. The molecular docking results also showed TP had good binding ability to the seven targets. Conclusions: Analysis of the common targets and key pathways showed that TP can improve DN via its anti-nephritis, anti-renal fibrosis, antioxidant, and podocyte-protective effects, which might elucidate the mechanism by which TP improves renal function and reduces proteinuria in DN.

Abstract licence: CC BY

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.