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. 2022 May 20;28:58. doi: 10.1186/s10020-022-00481-w

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© The Author(s) 2022

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Bioinformatics analysis of licorice in diabetic nephropathy. A Common targets between putative predicted targets of licorice and targets associated with DN in the GeneCards and DisGeNET databases. B Bioactive component-target network of licorice against DN. The green nodes denote the bioactive components in licorice, and the red nodes denote the corresponding targets of the components. C GO and (D) KEGG enrichment analysis of 40 targets from the network. E Among the 40 targets, the genes in red rectangles were targets of Glab, which were mainly enriched in the VEGF signaling pathway in DN