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Use of Echinostoma spp. in studies on chemotherapy and metabolic profiling.

  • Jasmina Saric
  • Jia V. Li
  • Yulan Wang
  • Elaine Holmes
  • Jürg Utzinger
  • Jennifer Keiser*
Chapter

Abstract

In this chapter we briefly summarize the use of echinostomes in chemotherapeutic studies and provide a comprehensive overview of metabolic profiling using an Echinostoma caproni-mouse model. In vitro and in vivo assays with Echinostoma spp. are suitable means for screening of anthelminthic drugs. Indeed, these models have been utilized for more than three decades and play an important role for discovery and development of novel drugs and treatment options against major trematode infections. Rapid diagnosis of infection and monitoring of disease progression and resolution are of pivotal importance for personalized health care and disease control at the population level. Spectroscopic profiling of the host metabolism, in combination with multivariate statistical methods, is a powerful approach for biomarker discovery that give rise for diagnosis and prognosis of infection and disease stages, and for subtle monitoring control interventions. The comparison of biofluids and tissue samples obtained from mice experimentally infected with E. caproni and from noninfected control animals revealed a high number of biomarkers in different kinds of biofluids (e.g., blood plasma, fecal water, and urine). Several tissues also showed significant metabolic changes after a chronic infection with E. caproni. While urine and blood plasma are obvious and convenient choices for diagnostic purposes, the study on tissue samples complemented the information extracted from biofluids and aided in a deeper understanding of biochemical mechanisms of disease.

Keywords

Metabolic Profile Nuclear Magnetic Resonance Spectroscopy Neutral Amino Acid Magic Angle Spin Oral Sucker 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

J. Keiser (project no. PPOOA–114941) and J. Utzinger (project no. PPOOB–102883 and no. PPOOB–119129) are grateful to the Swiss National Science Foundation for personal career development grants. This investigation received further financial support from Imperial College London, and Nestlé provided personal funds for Y. L. Wang. The authors thank Kirill Veselkov for giving access to his peak alignment script in Matlab. Last but not least we are grateful to Professor Bernard Fried and Professor Rafael Toledo for inviting us to write this chapter, and for their careful reading and copy-editing.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Jasmina Saric
    • 1
  • Jia V. Li
    • 1
  • Yulan Wang
    • 1
  • Elaine Holmes
    • 1
  • Jürg Utzinger
    • 1
  • Jennifer Keiser*
    • 1
  1. 1.Department of Medical Parasitology and Infection BiologySwiss Tropical InstituteSwitzerland

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