Literature DB >> 17048218

A preliminary metabolomic analysis of older adults with and without depression.

Lisa A Paige1, Matthew W Mitchell, K Ranga R Krishnan, Rima Kaddurah-Daouk, David C Steffens.   

Abstract

BACKGROUND: Metabolomics, the global science of biochemistry, is an emerging field that enables detection and quantification of small molecules involved in metabolic and signaling pathways. Metabolic signatures for disease and its treatment could provide valuable biomarkers and insights about disease mechanisms. In this pilot study, we evaluate the potential of metabolomics in the study of older depressed patients.
METHODS: We performed a metabolomic analysis of blood plasma from nine depressed, 11 remitted, and ten never-depressed older adults. Approximately 800 metabolites were analyzed, with comparisons made among the three groups.
RESULTS: Metabolites that were altered in currently depressed patients when compared with controls included several fatty acids, glycerol and gamma-aminobutyric acid (GABA). Analyses comparing concentrations in remitted and currently depressed patients revealed a pattern of metabolite alterations similar to the control vs currently depressed analyses. One difference observed in the remitted patients relative to the depressed patients was elevation of the concentration of the ketone 3-hydroxybutanoic acid.
CONCLUSION: These observations suggest that the depressed state may be associated with alterations in the metabolism of lipids and neurotransmitters, and that treatment with antidepressants adjusts some of the aberrant pathways in disease so that the patients in remission have a metabolic profile more similar to controls than to the depressed population. These results will need to be examined and validated in larger longitudinal cohorts. Copyright (c) 2006 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17048218     DOI: 10.1002/gps.1690

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  55 in total

1.  Metabolomic changes in autopsy-confirmed Alzheimer's disease.

Authors:  Rima Kaddurah-Daouk; Steve Rozen; Wayne Matson; Xianlin Han; Christine M Hulette; James R Burke; P Murali Doraiswamy; Kathleen A Welsh-Bohmer
Journal:  Alzheimers Dement       Date:  2010-11-13       Impact factor: 21.566

2.  Metabolomic differences in heart failure patients with and without major depression.

Authors:  David C Steffens; K Ranga R Krishnan; Edward D Karoly; Matthew W Mitchell; Christopher M O'Connor; Rima Kaddurah-Daouk
Journal:  J Geriatr Psychiatry Neurol       Date:  2010-01-25       Impact factor: 2.680

3.  Metabolomic profiles of plasma, exhaled breath condensate, and saliva are correlated with potential for air toxics detection.

Authors:  Chandresh Nanji Ladva; Rachel Golan; Roby Greenwald; Tianwei Yu; Stefanie Ebelt Sarnat; W Dana Flanders; Karan Uppal; Douglas I Walker; ViLinh Tran; Donghai Liang; Dean P Jones; Jeremy A Sarnat
Journal:  J Breath Res       Date:  2017-12-06       Impact factor: 3.262

4.  Reduced GABAergic cortical inhibition in aging and depression.

Authors:  Jennifer I Lissemore; Apoorva Bhandari; Benoit H Mulsant; Eric J Lenze; Charles F Reynolds; Jordan F Karp; Tarek K Rajji; Yoshihiro Noda; Reza Zomorrodi; Etienne Sibille; Zafiris J Daskalakis; Daniel M Blumberger
Journal:  Neuropsychopharmacology       Date:  2018-05-17       Impact factor: 7.853

5.  Identification and validation of urinary metabolite biomarkers for major depressive disorder.

Authors:  Peng Zheng; Ying Wang; Liang Chen; Deyu Yang; Huaqing Meng; Dezhi Zhou; Jiaju Zhong; Yang Lei; N D Melgiri; Peng Xie
Journal:  Mol Cell Proteomics       Date:  2012-10-30       Impact factor: 5.911

Review 6.  Metabolomics: a novel approach to identify potential diagnostic biomarkers and pathogenesis in Alzheimer's disease.

Authors:  Xu-Hua Xu; Yue Huang; Gang Wang; Sheng-Di Chen
Journal:  Neurosci Bull       Date:  2012-10-03       Impact factor: 5.203

7.  The diagnosis of depression: current and emerging methods.

Authors:  Katie M Smith; Perry F Renshaw; John Bilello
Journal:  Compr Psychiatry       Date:  2012-08-15       Impact factor: 3.735

8.  Neuropsychiatric Symptoms in Inborn Errors of Metabolism: Incorporation of Genomic and Metabolomic Analysis into Therapeutics and Prevention.

Authors:  Lisa Pan; Jerry Vockley
Journal:  Curr Genet Med Rep       Date:  2013-01-08

9.  Navigating the human metabolome for biomarker identification and design of pharmaceutical molecules.

Authors:  Irene Kouskoumvekaki; Gianni Panagiotou
Journal:  J Biomed Biotechnol       Date:  2010-09-28

Review 10.  Biomarkers to predict antidepressant response.

Authors:  Andrew F Leuchter; Ian A Cook; Steven P Hamilton; Katherine L Narr; Arthur Toga; Aimee M Hunter; Kym Faull; Julian Whitelegge; Anne M Andrews; Joseph Loo; Baldwin Way; Stanley F Nelson; Steven Horvath; Barry D Lebowitz
Journal:  Curr Psychiatry Rep       Date:  2010-12       Impact factor: 5.285

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