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Metabolomics: From Fundamentals to Clinical Applications

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Attention for Chapter 1: Metabolomics: Definitions and Significance in Systems Biology
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Chapter title
Metabolomics: Definitions and Significance in Systems Biology
Chapter number 1
Book title
Metabolomics: From Fundamentals to Clinical Applications
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-47656-8_1
Pubmed ID
Book ISBNs
978-3-31-947655-1, 978-3-31-947656-8

Aline Klassen, Andréa Tedesco Faccio, Gisele André Baptista Canuto, Pedro Luis Rocha da Cruz, Henrique Caracho Ribeiro, Marina Franco Maggi Tavares, Alessandra Sussulini


Alessandra Sussulini


Nowadays, there is a growing interest in deeply understanding biological mechanisms not only at the molecular level (biological components) but also the effects of an ongoing biological process in the organism as a whole (biological functionality), as established by the concept of systems biology. Within this context, metabolomics is one of the most powerful bioanalytical strategies that allow obtaining a picture of the metabolites of an organism in the course of a biological process, being considered as a phenotyping tool. Briefly, metabolomics approach consists in identifying and determining the set of metabolites (or specific metabolites) in biological samples (tissues, cells, fluids, or organisms) under normal conditions in comparison with altered states promoted by disease, drug treatment, dietary intervention, or environmental modulation. The aim of this chapter is to review the fundamentals and definitions used in the metabolomics field, as well as to emphasize its importance in systems biology and clinical studies.

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 16%
Student > Master 19 15%
Student > Bachelor 17 13%
Researcher 16 12%
Student > Doctoral Student 12 9%
Other 11 9%
Unknown 33 26%
Readers by discipline Count As %
Chemistry 27 21%
Biochemistry, Genetics and Molecular Biology 20 16%
Agricultural and Biological Sciences 12 9%
Medicine and Dentistry 9 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 20 16%
Unknown 37 29%