Literature DB >> 34597898

Plasma metabolomic profiles associated with chronic distress in women.

Katherine H Shutta1, Raji Balasubramanian2, Tianyi Huang3, Shaili C Jha4, Oana A Zeleznik5, Candyce H Kroenke6, Lesley F Tinker7, Jordan W Smoller8, Ramon Casanova9, Shelley S Tworoger10, JoAnn E Manson11, Clary B Clish12, Kathryn M Rexrode13, Susan E Hankinson14, Laura D Kubzansky15.   

Abstract

Several forms of chronic distress including anxiety and depression are associated with adverse cardiometabolic outcomes. Metabolic alterations may underlie these associations. Whether these forms of distress are associated with metabolic alterations even after accounting for comorbid conditions and other factors remains unclear. Using an agnostic approach, this study examines a broad range of metabolites in relation to chronic distress among women. For this cross-sectional study of chronic distress and 577 plasma metabolites, data are from different substudies within the Women's Health Initiative (WHI) and Nurses' Health Studies (NHSI, NHSII). Chronic distress was characterized by depressive symptoms and other depression indicators in the WHI and NHSII substudies, and by combined indicators of anxiety and depressive symptoms in the NHSI substudy. We used a two-phase discovery-validation framework, with WHI (N = 1317) and NHSII (N = 218) substudies in the discovery phase (identifying metabolites associated with distress) and NHSI (N = 558) substudy in the validation phase. A differential network analysis provided a systems-level assessment of metabolomic alterations under chronic distress. Analyses adjusted for potential confounders and mediators (demographics, comorbidities, medications, lifestyle factors). In the discovery phase, 46 metabolites were significantly associated with depression measures. In validation, six of these metabolites demonstrated significant associations with chronic distress after adjustment for potential confounders. Among women with high distress, we found lower gamma-aminobutyric acid (GABA), threonine, biliverdin, and serotonin and higher C16:0 ceramide and 3-methylxanthine. Our findings suggest chronic distress is associated with metabolomic alterations and provide specific targets for future study of biological pathways in chronic diseases.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anxiety; Chronic distress; Depression; Metabolomics; Network analysis; Women’s health

Mesh:

Year:  2021        PMID: 34597898      PMCID: PMC8547060          DOI: 10.1016/j.psyneuen.2021.105420

Source DB:  PubMed          Journal:  Psychoneuroendocrinology        ISSN: 0306-4530            Impact factor:   4.693


  58 in total

1.  Serum metabonomics study of anti-depressive effect of Xiao-Chai-Hu-Tang on rat model of chronic unpredictable mild stress.

Authors:  Zhili Xiong; Jie Yang; Yue Huang; Kuo Zhang; Yunhai Bo; Xiumei Lu; Guangyue Su; Jie Ma; Jingyu Yang; Longshan Zhao; Chunfu Wu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2016-06-27       Impact factor: 3.205

2.  Serum bilirubin and the risk of hypertension.

Authors:  Lina Wang; Leonelo E Bautista
Journal:  Int J Epidemiol       Date:  2014-12-25       Impact factor: 7.196

3.  Platelet uptake of GABA and glutamate in patients with bipolar disorder.

Authors:  Simona Daniele; Eleonora Da Pozzo; Marianna Abelli; Anna Panighini; Stefano Pini; Camilla Gesi; Lisa Lari; Alessandra Cardini; Giovanni Battista Cassano; Claudia Martini
Journal:  Bipolar Disord       Date:  2012-05       Impact factor: 6.744

4.  Psychometric properties of the CES-D-10 in a psychiatric sample.

Authors:  Thröstur Björgvinsson; Sarah J Kertz; Joe S Bigda-Peyton; Katrina L McCoy; Idan M Aderka
Journal:  Assessment       Date:  2013-03-18

Review 5.  Lipids in psychiatric disorders and preventive medicine.

Authors:  Miriam Schneider; Beth Levant; Martin Reichel; Erich Gulbins; Johannes Kornhuber; Christian P Müller
Journal:  Neurosci Biobehav Rev       Date:  2016-06-16       Impact factor: 8.989

6.  What has serotonin to do with depression?

Authors:  Philip J Cowen; Michael Browning
Journal:  World Psychiatry       Date:  2015-06       Impact factor: 49.548

Review 7.  Metabolomics by numbers: acquiring and understanding global metabolite data.

Authors:  Royston Goodacre; Seetharaman Vaidyanathan; Warwick B Dunn; George G Harrigan; Douglas B Kell
Journal:  Trends Biotechnol       Date:  2004-05       Impact factor: 19.536

8.  Metabolite profiling in posttraumatic stress disorder.

Authors:  Alexander Karabatsiakis; Gilava Hamuni; Sarah Wilker; Stephan Kolassa; Durairaj Renu; Suzanne Kadereit; Maggie Schauer; Thomas Hennessy; Iris-Tatjana Kolassa
Journal:  J Mol Psychiatry       Date:  2015-02-08

9.  Methylxanthine Content in Commonly Consumed Foods in Spain and Determination of Its Intake during Consumption.

Authors:  Juan M Sanchez
Journal:  Foods       Date:  2017-12-04

10.  Urinary biomarker panel for diagnosing patients with depression and anxiety disorders.

Authors:  Jian-Jun Chen; Shun-Jie Bai; Wen-Wen Li; Chan-Juan Zhou; Peng Zheng; Liang Fang; Hai-Yang Wang; Yi-Yun Liu; Peng Xie
Journal:  Transl Psychiatry       Date:  2018-09-19       Impact factor: 6.222

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