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1H NMR Metabolomic Profiling of Human and Animal Blood Serum Samples

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Multiplex Biomarker Techniques

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1546))

Abstract

Nuclear magnetic resonance (NMR) spectroscopy techniques allow the acquisition of a large amount of data and when combined with multivariate statistical analysis, it is possible to process and interpret the obtained NMR data in accordance with the biological problem being investigated. In this chapter, the search for biologically relevant biomarkers is addressed using NMR spectroscopy-based metabolomics, due to their clinical relevance for either diagnosis or monitoring of diseases and disorders.

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Acknowledgments

We thank the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, São Paulo, Brazil) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Brasília, Brazil) for financial supports (FAPESP Process No 2014/18938-8 and CNPq Process Number: 454234/2014-7) and fellowships.

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Authors and Affiliations

  1. Chemical Biology Laboratory, Institute of Chemistry, Organic Chemistry Department, State University of Campinas, P. O. Box 6154, 13083-970, Campinas, SP, Brazil

    João G. M. Pontes, Antonio J. M. Brasil, Guilherme C. F. Cruz, Rafael N. de Souza & Ljubica Tasic

Authors
  1. João G. M. Pontes
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  2. Antonio J. M. Brasil
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  3. Guilherme C. F. Cruz
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  4. Rafael N. de Souza
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  5. Ljubica Tasic
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Corresponding author

Correspondence to Ljubica Tasic .

Editor information

Editors and Affiliations

  1. Laboratory of Neuroproteomics, University of Campinas (UNICAMP), Campinas, Brazil

    Paul C. Guest

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Pontes, J.G.M., Brasil, A.J.M., Cruz, G.C.F., de Souza, R.N., Tasic, L. (2017). 1H NMR Metabolomic Profiling of Human and Animal Blood Serum Samples. In: Guest, P.C. (eds) Multiplex Biomarker Techniques. Methods in Molecular Biology, vol 1546. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-6730-8_24

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  • DOI: https://doi.org/10.1007/978-1-4939-6730-8_24

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-6729-2

  • Online ISBN: 978-1-4939-6730-8

  • eBook Packages: Springer Protocols

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