Associations of depression status with plasma levels of candidate lipid and amino acid metabolites: a meta-analysis of individual data from three independent samples of US postmenopausal women.

Amino Acids Animals Cross-Sectional Studies Depression Female Humans Lipids Observational Studies as Topic Postmenopause

Journal

Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835

Informations de publication

Date de publication:
07 2021
Historique:
received: 04 09 2019
accepted: 14 08 2020
revised: 04 08 2020
pubmed: 30 8 2020
medline: 27 1 2022
entrez: 30 8 2020
Statut: ppublish

Résumé

Recent animal and small clinical studies have suggested depression is related to altered lipid and amino acid profiles. However, this has not been examined in a population-based sample, particularly in women. We identified multiple metabolites associated with depression as potential candidates from prior studies. Cross-sectional data from three independent samples of postmenopausal women were analyzed, including women from the Women's Health Initiative-Observational Study (WHI-OS, n = 926), the WHI-Hormone Trials (WHI-HT; n = 1,325), and the Nurses' Health Study II Mind-Body Study (NHSII-MBS; n = 218). Positive depression status was defined as having any of the following: elevated depressive symptoms, antidepressant use, or depression history. Plasma metabolites were measured using liquid chromatography-tandem mass spectrometry (21 phosphatidylcholines (PCs), 7 lysophosphatidylethanolamines, 5 ceramides, 3 branched chain amino acids, and 9 neurotransmitters). Associations between depression status and metabolites were evaluated using multivariable linear regression; results were pooled by random-effects meta-analysis with multiple testing adjustment using the false discovery rate (FDR). Prevalence rates of positive depression status were 24.4% (WHI-OS), 25.7% (WHI-HT), and 44.7% (NHSII-MBS). After multivariable adjustment, positive depression status was associated with higher levels of glutamate and PC 36 : 1/38 : 3, and lower levels of tryptophan and GABA-to-glutamate and GABA-to-glutamine ratio (FDR-p < 0.05). Positive associations with LPE 18 : 0/18 : 1 and inverse associations with valine and serotonin were also observed, although these associations did not survive FDR adjustment. Associations of positive depression status with several candidate metabolites including PC 36 : 1/38 : 3 and amino acids involved in neurotransmission suggest potential depression-related metabolic alterations in postmenopausal women, with possible implications for later chronic disease.

Identifiants

DOI: 10.1038/s41380-020-00870-9 PMID: 32859999 PMC: PMC7914294
pubmed: 32859999
doi: 10.1038/s41380-020-00870-9
pii: 10.1038/s41380-020-00870-9
pmc: PMC7914294
mid: NIHMS1620612
doi:

Substances chimiques

Amino Acids 0
Lipids 0

Types de publication

Journal Article Meta-Analysis Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

3315-3327

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK040561
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600002C
Pays : United States
Organisme : NCI NIH HHS
ID : UM1 CA176726
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600004C
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01 HL143034
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600001C
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA067262
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA163451
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600018C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201300008C
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA176726
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600003C
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG051600
Pays : United States

Informations de copyright

© 2020. The Author(s), under exclusive licence to Springer Nature Limited.

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Auteurs

Tianyi Huang (T)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. tih541@mail.harvard.edu.
ORCID: 0000-0001-8420-9167

Raji Balasubramanian (R)

Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.

Yubing Yao (Y)

Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.

Clary B Clish (CB)

Broad Institute of MIT and Harvard, Boston, MA, USA.
ORCID: 0000-0001-8259-9245

Aladdin H Shadyab (AH)

Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA, USA.

Buyun Liu (B)

Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.

Shelley S Tworoger (SS)

Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Kathryn M Rexrode (KM)

Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

JoAnn E Manson (JE)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Laura D Kubzansky (LD)

Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Susan E Hankinson (SE)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.

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Classifications MeSH

questionsmedicales.fr › Acides aminés, peptides et protéines › Acides aminés › Associations of depression status with plasma...
questionsmedicales.fr › Eucaryotes › Animaux › Associations of depression status with plasma...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Associations of depression status with plasma...
questionsmedicales.fr › Comportement et mécanismes comportementaux › Émotions › Dépression › Associations of depression status with plasma...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Associations of depression status with plasma...
questionsmedicales.fr › Lipides › Associations of depression status with plasma...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études cliniques comme sujet › Études observationnelles comme sujet › Associations of depression status with plasma...
questionsmedicales.fr › Phénomènes physiologiques des appareils urinaire et reproducteur › Phénomènes physiologiques de la reproduction › Développement sexuel › Climatère › Ménopause › Post-ménopause › Associations of depression status with plasma...