Cited by 77Metabolomics and Mass Spectrometry StudiesTreatment of Major DepressionTryptophan and brain disorders

Lipidomics in Major Depressive Disorder

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Walther, Andreas, Cannistraci, Carlo Vittorio, Simons, Kai, Durán, Claudio, Gerl, Mathias J., Wehrli, Susanne, Kirschbaum, Clemens·2018·Frontiers in Psychiatry

Abstract

Omic sciences coupled with novel computational approaches such as machine intelligence offer completely new approaches to major depressive disorder (MDD) research. The complexity of MDD's pathophysiology is being integrated into studies examining MDD's biology within the omic fields. Lipidomics, as a late-comer among other omic fields, is increasingly being recognized in psychiatric research because it has allowed the investigation of global lipid perturbations in patients suffering from MDD and indicated a crucial role of specific patterns of lipid alterations in the development and progression of MDD. Combinatorial lipid-markers with high classification power are being developed in order to assist MDD diagnosis, while rodent models of depression reveal lipidome changes and thereby unveil novel treatment targets for depression. In this systematic review, we provide an overview of current breakthroughs and future trends in the field of lipidomics in MDD research and thereby paving the way for precision medicine in MDD.

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Authors
Walther, A., Cannistraci, C. V., Simons, K., Durán, C., Gerl, M. J., Wehrli, S., & Kirschbaum, C.
Affiliations
  • Technische Universität Dresden (DE)
  • Center for Systems Biology Dresden (DE)
  • Lipotype (Germany) (DE)
Corresponding author
Walther, Andreas
Venue
Frontiers in Psychiatry
Published
2018-10-15
Volume
9
Pages
459-459
ISSN
1664-0640 (ISSN-L)
OpenAlex
W2896259166
Cited by
77
References
68
Citations by year
2026: 10 · 2025: 15 · 2024: 10 · 2023: 9 · 2022: 14 · 2021: 10 · 2020: 5 · 2019: 2 · 2017: 2
FWCI
1.51
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Psychiatry (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • Deutsche Forschungsgemeinschaft
  • Technische Universität Dresden
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
Keywords
major depressive disorder, lipidomics, lipid biomarkers, lipid changes, depression diagnosis, rodent models of depression, precision medicine, machine learning

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