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Objective: Screening of feature genes involved in cytokine release syndrome (CRS) from the coronavirus disease 19 (COVID-19). Methods: The data sets related to COVID-19 were retrieved using Gene Expression Omnibus (GEO) database, the differentially expressed genes (DEGs) related to CRS were analyzed with R software and Venn diagram, and the biological processes and signaling pathways involved in DEGs were analyzed with GO and KEGG enrichment. Core genes were screened using Betweenness and MCC algorithms. GSE164805 and GSE171110 dataset were used to verify the expression level of core genes. Immunoinfiltration analysis was performed by ssGSEA algorithm in the GSVA package. The DrugBank database was used to analyze the feature genes for potential therapeutic drugs. Results: This study obtained 6950 DEGs, of which 971 corresponded with CRS disease genes (common genes). GO and KEGG enrichment showed that multiple biological processes and signaling pathways associated with common genes were closely related to the inflammatory response. Furthermore, the analysis revealed that transcription factors that regulate these common genes are also involved in inflammatory response. Betweenness and MCC algorithms were used for common gene screening, yielding seven key genes. GSE164805 and GSE171110 dataset validation revealed significant differences between the COVID-19 and normal controls in four core genes (feature genes), namely IL6R, TLR4, TLR2, and IFNG. The upregulated IL6R, TLR4, and TLR2 genes were mainly involved in the Toll-like receptor signaling pathway of the inflammatory pathway, while the downregulated IFNG genes primarily participated in the necroptosis and JAK-STAT signaling pathways. Moreover, immune infiltration analysis indicated that higher expression of these genes was associated with immune cell infiltration that mediates inflammatory response. In addition, potential therapeutic drugs for these four feature genes were identified via the DrugBank database. Conclusion: IL6R, TLR4, TLR2, and IFNG may be potential pathogenic genes and therapeutic targets for the CRS associated with COVID-19. [ABSTRACT FROM AUTHOR]

Bacterial intestinal inflammation is a common disease of aquatic animal in high-density aquaculture. This study aims to construct a model of intestinal inflammation in northern snakehead, and analyze the intestinal transcriptome after Aeromonas hydrophila (A. hydrophila) infection by high-throughput sequencing technologies (RNA-seq), in order to obtain candidate genes and regulatory pathways that may participate in inflammatory response. Northern snakehead [(13.05 ± 2.39) g] were infected through anal for 24 h with different concentrations of A. hydrophila (1.0 × 10−4, 1.0 × 10−5, 1.0 × 10−6, 1.0 × 10−7 and 1.0 × 10−8 CFU/mL). Intestinal histology observation showed that infection with A. hydrophila caused obvious inflammatory responses in intestine, especially in hindgut. The results also indicated that intestinal permeability related parameters (D-LA and Na+-K+-ATP), immune-related parameters (C3, LZM, AKP, MPO, IL-1β and TNF-α) and immune-related gene expression (il-1β and tnf-α) were significantly changed compared to the CK group. In this process, high concentration of A. hydrophila infection caused the death of snakehead. On the basis of the above evaluation, we successfully constructed a model of intestinal inflammation induced by A. hydrophila in northern snakehead, and the optimal dosage of A. hydrophila was 1.0 × 10−6 CFU/mL. Subsequently, the constructed model was analyzed on the Illumina Genome Analyser II platform for intestinal transcriptome. Results showed that a total of 370,492,420 clean reads, 145,236 transcripts and 89,431 unigenes were obtained. Moreover, a total of 7566 differentially expressed genes (DEGs) were found, including 4486 upregulated genes and 3080 downregulated genes. Notably, the key pathways [Toll-like receptors (TLRs) and NOD-like receptors (NLRs)] and genes [ tlr1 , tlr2 , tlr5 , nf-κb , tnf-α , il-1β , il-10 , nod1 ] related to inflammation were discovered. These results revealed the response of northern snakehead to A. hydrophila at the transcriptional level, which provide insights for the regulatory mechanisms of intestinal inflammation in northern snakehead. • A model of intestinal inflammation in northern snakehead was constructed by Aeromonas hydrophila. • The optimal dosage of Aeromonas hydrophila for inducing intestinal inflammation in northern snakehead was 1.0 × 10−6 CFU/mL. • The key pathways and genes related to inflammation were discovered by high-throughput sequencing technologies. [ABSTRACT FROM AUTHOR]