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Multi-Parametric Evaluation of Trypanosoma cruzi Infection Outcome in Animal Models

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T. cruzi Infection

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1955))

Abstract

Biomarkers of infection with consistent discriminating power for diagnosis and/or prognosis are keystones for efficient therapeutic management of diseases. The protozoan Trypanosoma cruzi, the etiologic agent of Chagas disease (CD), exhibits high clinical and genetic diversity, making it difficult to define biomarkers. In animal models of infection, as well as in patients, many different outcomes have been described. Thus, pathophysiogenesis parameters were highly variable in patients and even in inbred animals, which impeded reliable one-dimensional diagnosis/prognosis. To help solve those problems, an in-depth analysis of the similarities and differences in the CD caused by different parasite strains or different patient conditions is needed. Multidimensional statistics may overcome the high variability for each individual parameter in patients and even in inbred animals, revealing some pathophysiological patterns that accurately allow diagnosis of clinical and physiopathological characteristics. Here, we describe this type of method and its application to T. cruzi infection.

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Acknowledgments

Research detailed in this chapter was funded by grants from: “Ministerio de Ciencia e Innovación,” SAF2013-42850-R; “Ministerio de Economía y Competitividad,” SAF2015-63868-R (MINECO/FEDER); “Fondo de Investigaciones Sanitarias,” PI12/00289; “Red de Investigación de Centros de Enfermedades Tropicales” (RICET), 2010RD12/0018/0004; and European Union, HEALTH-FE-2008-22303, ChagasEpiNet.

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Authors and Affiliations

  1. Centro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid (UAM), Madrid, Spain

    Julien Santi-Rocca, Núria Gironès & Manuel Fresno

Authors
  1. Julien Santi-Rocca
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  2. Núria Gironès
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  3. Manuel Fresno
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Corresponding author

Correspondence to Manuel Fresno .

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Editors and Affiliations

  1. INGEBI-CONICET, Buenos Aires, Argentina

    Karina Andrea Gómez

  2. UNSAM-CONICET, IIB-INTECH, San Martin, Buenos Aires, Argentina

    Carlos Andrés Buscaglia

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Santi-Rocca, J., Gironès, N., Fresno, M. (2019). Multi-Parametric Evaluation of Trypanosoma cruzi Infection Outcome in Animal Models. In: Gómez, K., Buscaglia, C. (eds) T. cruzi Infection. Methods in Molecular Biology, vol 1955. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-9148-8_14

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  • DOI: https://doi.org/10.1007/978-1-4939-9148-8_14

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-9147-1

  • Online ISBN: 978-1-4939-9148-8

  • eBook Packages: Springer Protocols

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