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Comment
. 2023 Apr;86(4):e104-e106.
doi: 10.1016/j.jinf.2023.02.011. Epub 2023 Feb 10.

Blood transcriptome analysis revealed the crosstalk between severe COVID-19 and systemic lupus erythematosus

Ruogang Meng  1 , Ning Zhang  2 , Feixiang Yang  3 , Zhihao Xu  1 , Zhengyang Wu  1 , Yinan Du  4
Affiliations
Comment

Blood transcriptome analysis revealed the crosstalk between severe COVID-19 and systemic lupus erythematosus

Ruogang Meng et al. J Infect. 2023 Apr.
No abstract available

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Conflict of interest statement

Conflict of interest We declared no conflicts of interest or competing interests.

Figures

Fig. 1
Fig. 1
Identification and visualization of the DEGs of severe COVID-19 and SLE. (A) The volcano plot of the severe COVID-19 datasets. (B) The volcano plot of the SLE dataset. (C) The Veen diagram showed an overlap of DEGs. (D) GO enrichment analysis of the shared DEGs. (E) KEGG enrichment analysis of the shared DEGs.
Fig. 2
Fig. 2
Identification of key genes in COVID-19 and SLE datasets and construction of the TF-miRNA-hub gene network. (A) The Veen diagram displayed 17 overlapping hub genes filtered by six algorithms. (B) GO enrichment analysis of the key genes. (C) KEGG enrichment analysis of the key genes. (D) Box plots demonstrated that 17 key genes are significantly upregulated in patients with severe COVID-19. (E) Box plots demonstrated that 17 key genes are significantly upregulated in SLE patients. (F) The TF-miRNA-hub gene network presented the interactions between TFs, miRNAs, and 10 hub genes. The red nodes represent hub genes, the yellow nodes represent TFs, and the green nodes represent miRNAs (∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001, ∗∗∗∗P < 0.0001).
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