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Metabolomics: Challenges and Opportunities in Systems Biology Studies

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Systems Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1702))

Abstract

Metabolomics has the capability of providing predisposition, diagnostic, prognostic, and therapeutic biomarker profiles of individual patients, since a large number of metabolites can be measured in an unbiased manner from biological samples. In this setting, 1H-Nuclear Magnetic Resonance (NMR) spectroscopy of biofluids such as plasma, urine, and fecal water offers the opportunity to identify patterns of biomarker changes that reflects the physiological or pathological status of an individual patient.

In this chapter, we show as a metabolomics study can be used to diagnose a disease, classifying patients as healthy or as pathological taking into account individual variability.

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Abbreviations

λ :

g-Log transformation parameter

CF:

Cystic fibrosis

FID:

Free induction decay

g-log:

Generalized log

JRES:

2D 1H J-resolved

LDA:

Linear discriminant analysis

NaN3:

Sodium azide

NMR:

Nuclear magnetic resonance

PC:

Principal component

PI:

Pancreatic insufficiency

p-JRES:

Proton-decoupled skyline projections

PQN:

Probabilistic quotient normalization

TSP:

Sodium salt of 3-(trimethylsilyl) propionic-2,2,3,3-d4 acid, 98 atom % D

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Acknowledgments

We thank all the members of Dr. Lorenza Putignani’s laboratories, Unit of Human Microbiome, Genetic and Rare Diseases Area, Bambino Gesù Children’s Hospital, IRCCSRome, Italy and Unit of Parasitology, Bambino Gesù Children’s Hospital, IRCCSRome, Italy, for providing the samples and the clinical data for the metabolomics study here described.We are grateful to Dr. Alessandro Giuliani, Department of Environment and Primary Prevention, Istituto Superiore di Sanità, Rome, Italy for his useful comments and suggestions on the data analysis.

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Correspondence to Luca Casadei or Mariacristina Valerio .

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Casadei, L., Valerio, M., Manetti, C. (2018). Metabolomics: Challenges and Opportunities in Systems Biology Studies. In: Bizzarri, M. (eds) Systems Biology. Methods in Molecular Biology, vol 1702. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7456-6_16

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  • DOI: https://doi.org/10.1007/978-1-4939-7456-6_16

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7455-9

  • Online ISBN: 978-1-4939-7456-6

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