Cited by 45Metabolomics and Mass Spectrometry StudiesAdvanced NMR Techniques and ApplicationsAdvanced MRI Techniques and Applications

HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer

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Gogiashvili, Mikheil, Nowacki, Jessica, Hergenröder, Roland, Hengstler, Jan G., Lambert, Jörg, Edlund, Karolina·2019·Metabolites

Abstract

High resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly used for profiling of breast cancer tissue, delivering quantitative information for approximately 40 metabolites. One unique advantage of the method is that it can be used to analyse intact tissue, thereby requiring only minimal sample preparation. Importantly, since the method is non-destructive, it allows further investigations of the same specimen using for instance transcriptomics. Here, we discuss technical aspects critical for a successful analysis—including sample handling, measurement conditions, pulse sequences for one- and two dimensional analysis, and quantification methods—and summarize available studies, with a focus on significant associations of metabolite levels with clinically relevant parameters.

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Authors
Gogiashvili, M., Nowacki, J., Hergenröder, R., Hengstler, J. G., Lambert, J., & Edlund, K.
Affiliations
  • Leibniz Institute for Analytical Sciences - ISAS (DE)
  • Leibniz Research Centre for Working Environment and Human Factors (DE)
Corresponding author
Gogiashvili, Mikheil
Venue
Metabolites
Publisher
MDPI AG
Published
2019-01-22
Volume
9
Issue
2
Pages
19
ISSN
2218-1989 (ISSN-L)
OpenAlex
W2911544468
Cited by
44
References
104
Citations by year
2026: 5 · 2025: 5 · 2024: 2 · 2023: 3 · 2022: 10 · 2021: 12 · 2020: 4 · 2019: 3
FWCI
0.64
Type
journal article
Language
en
Open access
Locations
  • Metabolites (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Technische Universität Dortmund Eldorado (Technische Universität Dortmund) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by)
  • Technische Universität Dortmund Eldorado (Technische Universität Dortmund) (cc-by)
Funders
Bundesministerium für Bildung und Forschung
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Physical Sciences › Chemistry › Spectroscopy › Advanced NMR Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
breast cancer, quantitative metabolomics, sample handling, pulse sequences, metabolite quantification

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