Potential Biomarkers and Underlying Pathogenesis of Mycoplasma synoviae Infection: Insights from Metabolomics

Xiaona Wei1,2, Mengyao Sun1, Kuan Zhang1

  • 1School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.

Microorganisms
|November 27, 2025
PubMed

Insights

Mycoplasma synoviae (MS) infection significantly alters chicken metabolism, particularly amino acid, nucleotide, and lipid pathways. Specific metabolites correlate with disease severity, offering insights into poultry pathogen interactions.

Area of Science:

  • Veterinary Science
  • Metabolomics
  • Poultry Health

Background:

  • Mycoplasma synoviae (MS) is a significant poultry pathogen causing economic losses.
  • Understanding host-MS interactions and the metabolic basis of infection requires further investigation.

Purpose of the Study:

  • To identify metabolic alterations in chickens following infection with different virulence strains of Mycoplasma synoviae.
  • To explore the relationship between host metabolic changes, disease severity, and MS pathogenicity.

Main Methods:

  • Untargeted metabolomic analysis of plasma from SPF chickens infected with lethal (ZX313) and low-virulence (SD2) MS strains.
  • Identification and analysis of significantly differentially abundant metabolites (SDMs) and their associated metabolic pathways.
  • Correlation analysis between plasma metabolites and disease severity.

Main Results:

  • Infection with both MS strains induced significant changes in host amino acid, nucleotide, and lipid metabolism.
  • Distinct sets of SDMs were observed between the ZX313 and SD2 infection groups.
  • Twenty plasma metabolites showed a strong correlation with disease severity (AUC = 0.986).

Conclusions:

  • Mycoplasma synoviae infection profoundly impacts systemic host metabolism in chickens.
  • Differential metabolic responses, especially in amino acid pathways, may relate to MS virulence and disease progression.
  • Identified metabolites serve as potential biomarkers for assessing infection severity and understanding host-pathogen dynamics.

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