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. 2020 Sep 16;10:15164. doi: 10.1038/s41598-020-72026-2

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© 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/.

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Network analysis in active and chronic lesions. Networks were algorithmically constructed by IPA software on the basis of the functional and biological connectivity of genes. The network is graphically represented as nodes (genes) and edges (the biological relationship between genes). Red- and green-shaded nodes represent up- and downregulated genes, respectively; others (empty nodes) are those that IPA automatically includes because they are biologically linked to our genes based on the evidence in the literature genes have been placed automatically by IPA in different cellular compartments from nucleus to extracellular space: (A) the top ranked network for active renal lesions in IgAN shows a high degree of interconnectivity between genes (score 63, n.35 associated genes); (B) the top ranked network for chronic renal lesions in IgAN shows a great connectivity between genes (score 56, n = 33 associated genes).