Lipidomics in Major Depressive Disorder

Andreas Walther, Carlo Vittorio Cannistraci, Kai Simons, Claudio Durán, Mathias J Gerl, Susanne Wehrli, Clemens Kirschbaum

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)459
JournalFrontiers in Psychiatry
Publication statusPublished - 2018


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