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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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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