Researchers Identify Key Genes and Immune Dysregulation in Goats Exposed to Peste des Petits Ruminants Virus

Strategic Insights -

Researchers from the ICAR - National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI) have conducted a comprehensive study on the molecular mechanisms underlying host-pathogen interactions during natural infection versus vaccine-induced immunity in goats. The study, published in the journal Virus Genes, utilized comparative transcriptomic analysis and machine learning to identify key genes and immune dysregulation in goats exposed to Peste des Petits Ruminants (PPR) virus.

The research team, led by Varsha Ramesh, conducted a comparative analysis of peripheral blood mononuclear cells from naturally PPRV-infected goats and Sungri/96-vaccinated goats. This analysis revealed 12 up-regulated and 11 down-regulated hub genes shared between both conditions, indicating that vaccination successfully activates similar protective immune pathways as natural infection. However, condition-specific genes were also identified that distinguish infection from vaccination, including IL-6 and IL1A, which indicated pathological inflammation in infected animals, while ribosomal proteins (RPS27A, RPS14, RPS29, RPS18) reflected controlled immune memory formation in vaccinated animals.

Key Takeaways:

  • The study identified 12 up-regulated and 11 down-regulated hub genes shared between naturally PPRV-infected and vaccinated goats, indicating that vaccination activates similar protective immune pathways as natural infection.
  • Condition-specific genes were identified that distinguish infection from vaccination, including IL-6 and IL1A, which indicated pathological inflammation in infected animals, while ribosomal proteins (RPS27A, RPS14, RPS29, RPS18) reflected controlled immune memory formation in vaccinated animals.
  • Machine learning validation of unique hub genes achieved exceptional classification accuracy (90%), confirming their robust biomarker potential for DIVA applications in distinguishing PPRV-infected animals from vaccinated animals.
  • The study concluded that current PPR vaccines effectively mimic key aspects of natural infection while maintaining distinct protective characteristics, offering potential targets for developing enhanced diagnostic tools, next-generation vaccines with DIVA capabilities, and targeted therapeutic interventions to reduce PPR burden on small ruminant populations.
  • The research has been peer-reviewed and published in the journal Virus Genes.

Statistics:

  • 1,874 DEGs (differentially expressed genes) were identified in infected samples (238 up-regulated, 534 down-regulated).
  • 1,838 DEGs were identified in vaccinated samples (286 up-regulated, 534 down-regulated).
  • Machine learning validation achieved 90% classification accuracy.
  • 16 naturally PPRV-infected goats and 10 Sungri/96-vaccinated goats were analyzed in the study.

Sources:

  • Comparative transcriptomic and machine learning analysis identifies key genes and immune dysregulation in goats exposed to peste des petits ruminants virus. Virus Genes, 2025.
  • ICAR - National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI)
  • Springer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands (publisher of Virus Genes journal)