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'State-of-the-Art' metabolomics investigations of type 2 diabetes

  • Benita Percival
  • , Justine Leenders
  • , Martin Grootveld*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Metabolomics represents the global investigation of complex biomolecular patterns in living systems, i.e. in organs, cells, tissues or biofluids, and the understanding of how clinically significant deviations from such patterns may facilitate our knowledge of the pathogenesis of human diseases. This now widely expanded research area has been extensively applied to the prognostic monitoring of type 2 diabetes (T2D), particularly in human biofluids. The achievements of T2D metabolomics investigations include the identification of key biomarkers in human biofluid samples, which may also be employed for determining individuals at risk of this condition. T2D biomarkers arise from disturbed metabolic pathways, which include those distinct from glycolysis and lipid metabolism. Additionally, prognostic fingerprints and biomarkers of insulin resistance have been explored using metabolomics analysis, and these strategies have been critically evaluated for their possible future 'point-of-care' uses in clinical settings. The potential advancement for such 'bedside' metabolomics tests and the future direction of metabolomics in T2D is discussed in detail.

Original languageEnglish
Title of host publicationObesity and Diabetes
Subtitle of host publicationScientific Advances and Best Practice
PublisherSpringer International Publishing
Pages265-282
Number of pages18
ISBN (Electronic)9783030533700
ISBN (Print)9783030533694
DOIs
Publication statusPublished - 14 Dec 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diabetes biomarkers
  • Diabetes metabolic pathways
  • Plasma metabolome
  • Saliva metabolome
  • Urine metabolome

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