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. 2024 Jan 31;13(1):91-103.
doi: 10.21037/tau-23-562. Epub 2024 Jan 23.

The effect of Astragali Radix-Radix Angelica Sinensis on acute kidney injury: a network pharmacology and molecular docking study

Affiliations

The effect of Astragali Radix-Radix Angelica Sinensis on acute kidney injury: a network pharmacology and molecular docking study

Qin Wang et al. Transl Androl Urol. .

Abstract

Background: Acute kidney injury (AKI) is a devastating clinical syndrome with high mortality rate attributed to lack of effective treatment. The herbal pair of Astragali Radix (AR) and Radix Angelica Sinensis (RAS) is a commonly prescribed herbal formula or is added to other traditional Chinese medicine (TCM) prescriptions for the treatment of kidney diseases. AR-RAS has certain protective effects on AKI in experiments, but the relevant mechanisms have yet to be clear. So this study aims to explore the mechanism of action of AR-RAS in AKI by combining network pharmacology and molecular docking methods.

Methods: In Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), the major AR-RAS chemical components and associated action targets were found and screened. The DrugBank and GeneCards databases were used to find AKI-related targets. The targets that are in close relationship with AKI were obtained from Therapeutic Target database (TTD), Online Mendelian Inheritance in Man (OMIM), and PharmGKB databases. The "herb-active ingredient-target" network was drawn by Cytoscape 3.8.0 software. The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database was used to build the protein-protein interaction network. Bioconductor/R was used to examine Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. AR-RAS components and critical targets were docked using the AutoDock Vina program.

Results: A compound-target network, built by screening and analyzing the results, allowed to identify 19 active components and 101 possible therapeutic targets for AKI. The main ingredients were quercetin, kaempferol, 7-o-methylisocronulatol, formononetin and isorhamnetin. The key targets included AKT serine/threonine kinase 1 (AKT1), nuclear receptor coactivator 1 (NCOA1), JUN, estrogen receptor alpha (ESR1) and mitogen-activated protein kinase 8 (MAPK8). These molecules are targeted by pathways such as the calcium signaling route, the tumor necrosis factor (TNF) signaling pathway and the interleukin-17 (IL-17) signaling pathway, as well as the development of T helper 17 cells. Molecular docking demonstrated that AR-active RAS components exhibited strong binding activities to probable targets of AKI.

Conclusions: We described here the potential active ingredients, possible targets responsible for the efficacy of AR-RAS in AKI treatment, providing a theoretical basis for further research.

Keywords: Astragali Radix-Radix Angelica Sinensis (AR-RAS); acute kidney injury (AKI); molecular docking; network pharmacology.

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tau.amegroups.com/article/view/10.21037/tau-23-562/coif). The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Venn diagram of the AKI disease targets. TTD, Therapeutic Target database; OMIM, Online Mendelian Inheritance in Man; AKI, acute kidney injury.
Figure 2
Figure 2
Venn of compounds’ screening.
Figure 3
Figure 3
Interaction network of AR-RAS compound-AKI-targets. AR-RAS, Astragali Radix-Radix Angelica Sinensis; AKI, acute kidney injury.
Figure 4
Figure 4
Protein-protein interaction network.
Figure 5
Figure 5
GO function analysis. AGE, advanced glycation end products; RAGE, receptor for AGE; TNF, tumor necrosis factor; IL-17, interleukin 17; Th17, T helper 17; cGMP, cyclic guanosine monophosphate; PKG, protein kinase G; GO, Gene Ontology.
Figure 6
Figure 6
KEGG pathway analysis. AGE, advanced glycation end products; RAGE, receptor for AGE; TNF, tumor necrosis factor; cGMP, cyclic guanosine monophosphate; PKG, protein kinase G; IL-17, interleukin 17; Th17, T helper 17; KEGG, Kyoto Encyclopedia of Genes and Genomes.
Figure 7
Figure 7
Molecular docking. Molecular models of the respective binding of stigmasterol, beta-sitosterol, kaempferol, and quercetin with AKT1 (A,B) and NCOA1 (C,D).

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