Cytokines as potential biomarkers for the diagnosis of Mycobacterium bovis infection in Mediterranean buffaloes (Bubalus bubalis)
2024

Cytokines as potential biomarkers for diagnosing Mycobacterium bovis infection in Mediterranean buffaloes

Sample size: 36 publication Evidence: moderate

Author Information

Author(s): Franzoni Giulia, Signorelli Federica, Mazzone Piera, Donniacuo Anna, De Matteis Giovanna, Grandoni Francesco, Schiavo Lorena, Zinellu Susanna, Dei Giudici Silvia, Bezos Javier, De Carlo Esterina, Galiero Giorgio, Napolitano Francesco, Martucciello Alessandra

Primary Institution: Istituto Zooprofilattico Sperimentale della Sardegna

Hypothesis

Can key immune cytokines serve as diagnostic biomarkers for Mycobacterium bovis infection in Mediterranean buffaloes?

Conclusion

The study suggests that certain cytokines could be useful biomarkers for tuberculosis in Mediterranean buffaloes, potentially improving diagnostic performance.

Supporting Evidence

  • Both infected and affected buffaloes released higher levels of several cytokines compared to healthy buffaloes.
  • IL-10, TNF, IL-1α, IL-6, and MIP-1β were identified as potential biomarkers for tuberculosis.
  • The study utilized a combination of cytokine measurements to improve diagnostic performance for tuberculosis.

Takeaway

Researchers looked at buffaloes to see if certain proteins in their blood could help tell if they have a disease called tuberculosis. They found some proteins that might be really helpful for this.

Methodology

The study involved stimulating blood samples from buffaloes with specific proteins and measuring the levels of various cytokines to assess their potential as biomarkers.

Limitations

The study's findings need to be validated on a larger sample size to confirm the sensitivity and specificity of the identified biomarkers.

Participant Demographics

The study included 36 Italian Mediterranean buffaloes, categorized into healthy, infected, and affected groups based on their tuberculosis status.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fvets.2024.1512571

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