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. 2023 May 7;18:107. doi: 10.1186/s13023-023-02705-6

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© The Author(s) 2023

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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Overview of mRNA profile in D1, M1 and X1. A Venn diagram showed the number of genes uniquely expressed and CO expressed in each group. B Columnar statistical chart showed the number of differentially expressed genes between the patient and controls. C Volcano Plot showed differentially expressed genes between the patient and controls (P value < 0.05, |log2FoldChange|> 0). D The Heatmap conducted according to the RNA-seq data. E The scatter plots showed the top 20 significantly different terms of reactome pathway enrichment analysis. F The Histogram showed the top 20 significantly different terms of DisGeNET analysis