Cited by 77Genetics, Aging, and Longevity in Model OrganismsMetabolomics and Mass Spectrometry StudiesAdvanced Proteomics Techniques and Applications

A sensitive mass spectrometry platform identifies metabolic changes of life history traits in C. elegans

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Gao, Arwen W., Chatzispyrou, Iliana A., Kamble, Rashmi, Liu, Yasmine J., Herzog, Katharina, Smith, Reuben L., van Lenthe, Henk, Vervaart, Martin A. T. +6 more·2017·Scientific Reports

Abstract

Abnormal nutrient metabolism is a hallmark of aging, and the underlying genetic and nutritional framework is rapidly being uncovered, particularly using C. elegans as a model. However, the direct metabolic consequences of perturbations in life history of C. elegans remain to be clarified. Based on recent advances in the metabolomics field, we optimized and validated a sensitive mass spectrometry (MS) platform for identification of major metabolite classes in worms and applied it to study age and diet related changes. Using this platform that allowed detection of over 600 metabolites in a sample of 2500 worms, we observed marked changes in fatty acids, amino acids and phospholipids during worm life history, which were independent from the germ-line. Worms underwent a striking shift in lipid metabolism after early adulthood that was at least partly controlled by the metabolic regulator AAK-2/AMPK. Most amino acids peaked during development, except aspartic acid and glycine, which accumulated in aged worms. Dietary intervention also influenced worm metabolite profiles and the regulation was highly specific depending on the metabolite class. Altogether, these MS-based methods are powerful tools to perform worm metabolomics for aging and metabolism-oriented studies.

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Authors
Gao, A. W., Chatzispyrou, I. A., Kamble, R., Liu, Y. J., Herzog, K., Smith, R. L., van Lenthe, H., Vervaart, M. A. T., van Cruchten, A., Luyf, A. C., van Kampen, A., Pras-Raves, M. L., Vaz, F. M., & Houtkooper, R. H.
Affiliations
Amsterdam UMC Location University of Amsterdam (NL)
Corresponding author
Houtkooper, Riekelt H.
Venue
Scientific Reports
Published
2017-05-25
Volume
7
Issue
1
Pages
2408-2408
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2615592869
Cited by
77
References
39
Citations by year
2026: 2 · 2025: 8 · 2024: 5 · 2023: 4 · 2022: 12 · 2021: 10 · 2020: 7 · 2019: 12 · 2018: 10 · 2017: 6
FWCI
4.08
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • ZonMw (91715305)
  • National Institutes of Health (OD010440, P40OD010440)
  • Office of Research Infrastructure Programs, National Institutes of Health
  • H2020 European Research Council (638290)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
Caenorhabditis elegans, aging, life-history traits, metabolomics, nutrient metabolism, lipid metabolism, fatty acids, amino acids, phospholipids, dietary intervention, aspartic acid, glycine
MeSH terms
Life History Traits, Age Factors, Amino Acids, Animals, Chromatography, High Pressure Liquid, Diet, Fatty Acids, Mutation, Phosphorylation, Mass Spectrometry, Reproducibility of Results, Caenorhabditis elegans, Computational Biology, Caenorhabditis elegans Proteins, Lipid Metabolism, Metabolomics, Metabolome

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