Lipidomics in Major Depressive Disorder
Open accessAbstract
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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Chronic stress leads to HPA hyperactivity.
“Chronic stress leads to HPA hyperactivity.”
From Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers (2024) · cites this paper as [35]
Increased phospholipase D activity enhances the conversion of PC and PE into phosphatidic acid, as well as LPC and LPE.
“Increased phospholipase D activity enhances the conversion of PC and PE into phosphatidic acid, as well as lysophosphatidylcholine (LPC) and lysophosphatidylethanolamine (LPE).”
From Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers (2024) · cites this paper as [35]
Elevated glucocorticoid levels increase phospholipase D activity.
“Elevated glucocorticoid levels increase phospholipase D activity [35].”
From Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers (2024) · cites this paper as [35]
Increased saturated fatty acid-rich phospholipids, namely lysoPS (16:0), lysoPS (18:0), and SM (24:0), have been associated with inflammation and oxidative stress responses in depressed patients.
“Increased saturated fatty acid-rich phospholipids, namely lysoPS (16:0), lysoPS (18:0), and SM (24:0), have been associated with inflammation and oxidative stress responses in depressed patients [35].”
From Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers (2024) · cites this paper as [35]
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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
- ORCID
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2018-10-15
- Volume
- 9
- Pages
- 459-459
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC6196281
- 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
- gold
- doi.org
- 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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