Metabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report.

TitleMetabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report.
Publication TypeJournal Article
Year of Publication2021
AuthorsCaspani G, Turecki G, Lam RW, Milev RV, Frey BN, Macqueen GM, Müller DJ, Rotzinger S, Kennedy SH, Foster JA, Swann JR
JournalCommun Biol
Volume4
Issue1
Pagination903
Date Published2021 07 22
ISSN2399-3642
KeywordsAdult, Apolipoprotein A-I, Apolipoprotein A-II, Cholesterol, HDL, Cholesterol, LDL, Cholesterol, VLDL, Depression, Female, Humans, Male, Metabolome, Middle Aged, Plasma, Sex Factors, Urine, Young Adult
Abstract

One of the biggest challenges in treating depression is the heterogeneous and qualitative nature of its clinical presentations. This highlights the need to find quantitative molecular markers to tailor existing treatment strategies to the individual's biological system. In this study, high-resolution metabolic phenotyping of urine and plasma samples from the CAN-BIND study collected before treatment with two common pharmacological strategies, escitalopram and aripiprazole, was performed. Here we show that a panel of LDL and HDL subfractions were negatively correlated with depression in males. For treatment response, lower baseline concentrations of apolipoprotein A1 and HDL were predictive of escitalopram response in males, while higher baseline concentrations of apolipoprotein A2, HDL and VLDL subfractions were predictive of aripiprazole response in females. These findings support the potential of metabolomics in precision medicine and the possibility of identifying personalized interventions for depression.

DOI10.1038/s42003-021-02421-6
Alternate JournalCommun Biol
PubMed ID34294869
PubMed Central IDPMC8298446
Grant ListMC_PC_12025 / DH_ / Department of Health / United Kingdom
MR/N014103/1 / MRC_ / Medical Research Council / United Kingdom
/ / CIHR / Canada