International Journal of Molecular Sciences (Mar 2022)

The Antiviral Effect of <i>Isatis</i> Root Polysaccharide against NADC30-like PRRSV by Transcriptome and Proteome Analysis

  • Dike Jiang,
  • Ling Zhang,
  • Guangheng Zhu,
  • Pengfei Zhang,
  • Xulong Wu,
  • Xueping Yao,
  • Yan Luo,
  • Zexiao Yang,
  • Meishen Ren,
  • Xinping Wang,
  • Sheng Chen,
  • Yin Wang

DOI
https://doi.org/10.3390/ijms23073688
Journal volume & issue
Vol. 23, no. 7
p. 3688

Abstract

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(1) Background: In recent years, the porcine reproductive and respiratory syndrome virus (PRRSV) has become a virulent pathogen that has caused devastating diseases and economic losses worldwide in the swine industry. IRPS has attracted extensive attention in the field of virology. However, it is not clear that IRPS has an antiviral effect on PRRSV at gene and protein levels. (2) Methods: We used transcriptomic and proteomic analysis to investigate the antiviral effect of IRPS against PRRSV. Additionally, a microbiome was used to explore the effects of IRPS on gut microbes. (3) Results: IRPS significantly extenuated the pulmonary pathological lesions and inflammatory response. We used transcriptomic and proteomic analysis to investigate the antiviral effect of IRPS against PRRSV. In the porcine model, 1669 differentially expressed genes (DEGs) and 370 differentially expressed proteins (DEPs) were identified. Analysis of the DEG/DEP-related pathways indicated immune-system and infectious-disease (viral) pathways, such as the NOD-like receptor (NLR) signaling pathway, toll-like receptor (TLR) signaling pathway, and Influenza A-associated signaling pathways. It is noteworthy that IRPS can inhibit NLR-dependent gene expression, then reduce the inflammatory damage. IRPS could exert beneficial effects on the host by regulating the structure of intestinal flora. (4) Conclusions: The antiviral effect of IRPS on PRRSV can be directly achieved by omics techniques. Specifically, the antiviral mechanism of IPRS can be better elucidated by screening target genes and proteins using transcriptome and proteome sequencing, and then performing enrichment and classification according to DEGs and DEPs.

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