Quantitative proteomics based on TMT revealed the response of PK15 cells infected PEDV wild strain

Microb Pathog. 2024 Jan:186:106503. doi: 10.1016/j.micpath.2023.106503. Epub 2023 Dec 22.

Abstract

Porcine epidemic diarrhea (PED), caused by porcine epidemic diarrhea virus (PEDV), is an acute and highly contagious enteric disease with a high mortality rate in suckling piglets. Identification of proteins associated with PEDV infection may provide insights into the pathogenesis of this viral disease. In this study, we employed tandem mass tag (TMT) quantitative protein analysis to investigate proteomic changes in PK15 cells following PEDV infection, and differential protein expression profiles were obtained at 0 h, 24 h, and 48 h post-infection. Overall, a total of 6330 proteins were identified. Applying criteria for fold change >1.5 < 0.67 and p-values <0.05 resulted in the identification of 59 up-regulated proteins and 103 down-regulated proteins that exhibited significant alterations in the H24 group compared to the H0 group. The H48 group demonstrated significant upregulation of 110 proteins and downregulation of 144 proteins compared to the H0 group; additionally, there were also 10 upregulated and 30 downregulated proteins in the H48 group when compared to the H24 group. These differentially expressed proteins (DEPs) were involved in immune response regulation, signal transduction, lipid transport and metabolism processes as well as cell apoptosis pathways. Based on these DEPs, we propose that PEDV may disrupt signal transduction pathways along with lipid transport and metabolism processes leading to maximal viral replication, it may also trigger inflammatory cascades accordingly. These findings could provide valuable information for elucidating specific pathogenesis related to PEDV infection while contributing towards developing new antiviral strategies.

Keywords: Bioinformatics analysis; Porcine epidemic diarrhea virus (PEDV); Proteomics; TMT.

MeSH terms

  • Animals
  • Lipids
  • Porcine epidemic diarrhea virus* / physiology
  • Proteins / metabolism
  • Proteomics / methods
  • Signal Transduction
  • Swine
  • Swine Diseases*

Substances

  • Proteins
  • Lipids