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. 2020 Aug 10;10:13468. doi: 10.1038/s41598-020-70540-x

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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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Pearson correlation analyses of GFR and target genes. (a) The gene expression of SYK (p = 0.0022, r = − 0.8437), CXCL1 (p = 0.0016, r = − 0.8554), LYN (p = 0.0269, r = − 0.6911), VWF (p = 0.0452, r = − 0.6423) and ANXA1 (p = 0.0211, r = − 0.7111) was negatively related to GFR. (b) The gene expression of EGF (p = 0.0027, r = 0.8349) and KNG1 (p = 0.0073, r = 0.7838) was positively correlated with GFR. (c) The gene expression of C3 (p = 0.0459, r = − 0.6109) and CXCL1 (p = 0.0061, r = − 0.7645) was negatively correlated with GFR. (d) The gene expression of EGF (p = 0.0037, r = 0.7919) was positively related to GFR. (e) The gene expression of C3 (p = 0.0171, r = − 0.6970), HLA-E (p = 0.0132, r = − 0.7161), RHOA (p = 0.0439, r = − 0.6154) and SERPING1 (p = 0.0091, r = − 0.7409) was negatively correlated with GFR. (f) EGF (p = 0.0121, r = 0.7221) and KNG1 (p = 0.0153, r = 0.7053) were positively related to GFR.