Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment
Major depressive disorder (MDD) is a common and disabling syndrome with multiple etiologies that is defined by clinically elicited signs and symptoms. In hopes of developing a list of candidate biological measures that reflect and relate closely to the severity of depressive symptoms, so-called “sta...
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Frontiers Media S.A.
2019-09-01
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Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2019.00926/full |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sudeepa Bhattacharyya Boadie W. Dunlop Siamak Mahmoudiandehkordi Ahmed T. Ahmed Gregory Louie Gregory Louie Gregory Louie Mark A. Frye Richard M. Weinshilboum Ranga R. Krishnan A. John Rush A. John Rush A. John Rush Helen S. Mayberg Helen S. Mayberg W. Edward Craighead Rima Kaddurah-Daouk Rima Kaddurah-Daouk Rima Kaddurah-Daouk |
spellingShingle |
Sudeepa Bhattacharyya Boadie W. Dunlop Siamak Mahmoudiandehkordi Ahmed T. Ahmed Gregory Louie Gregory Louie Gregory Louie Mark A. Frye Richard M. Weinshilboum Ranga R. Krishnan A. John Rush A. John Rush A. John Rush Helen S. Mayberg Helen S. Mayberg W. Edward Craighead Rima Kaddurah-Daouk Rima Kaddurah-Daouk Rima Kaddurah-Daouk Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment Frontiers in Neuroscience major depression cognitive behavioral therapy metabolomics acylcarnitines branched-chain amino acids lipids |
author_facet |
Sudeepa Bhattacharyya Boadie W. Dunlop Siamak Mahmoudiandehkordi Ahmed T. Ahmed Gregory Louie Gregory Louie Gregory Louie Mark A. Frye Richard M. Weinshilboum Ranga R. Krishnan A. John Rush A. John Rush A. John Rush Helen S. Mayberg Helen S. Mayberg W. Edward Craighead Rima Kaddurah-Daouk Rima Kaddurah-Daouk Rima Kaddurah-Daouk |
author_sort |
Sudeepa Bhattacharyya |
title |
Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment |
title_short |
Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment |
title_full |
Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment |
title_fullStr |
Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment |
title_full_unstemmed |
Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment |
title_sort |
pilot study of metabolomic clusters as state markers of major depression and outcomes to cbt treatment |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neuroscience |
issn |
1662-453X |
publishDate |
2019-09-01 |
description |
Major depressive disorder (MDD) is a common and disabling syndrome with multiple etiologies that is defined by clinically elicited signs and symptoms. In hopes of developing a list of candidate biological measures that reflect and relate closely to the severity of depressive symptoms, so-called “state-dependent” biomarkers of depression, this pilot study explored the biochemical underpinnings of treatment response to cognitive behavior therapy (CBT) in medication-free MDD outpatients. Plasma samples were collected at baseline and week 12 from a subset of MDD patients (N = 26) who completed a course of CBT treatment as part of the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study. Targeted metabolomic profiling using the AbsoluteIDQ® p180 Kit and LC-MS identified eight “co-expressed” metabolomic modules. Of these eight, three were significantly associated with change in depressive symptoms over the course of the 12-weeks. Metabolites found to be most strongly correlated with change in depressive symptoms were branched chain amino acids, acylcarnitines, methionine sulfoxide, and α-aminoadipic acid (negative correlations with symptom change) as well as several lipids, particularly the phosphatidlylcholines (positive correlation). These results implicate disturbed bioenergetics as an important state marker in the pathobiology of MDD. Exploratory analyses contrasting remitters to CBT versus those who failed the treatment further suggest these metabolites may serve as mediators of recovery during CBT treatment. Larger studies examining metabolomic change patterns in patients treated with pharmacotherapy or psychotherapy will be necessary to elucidate the biological underpinnings of MDD and the -specific biologies of treatment response. |
topic |
major depression cognitive behavioral therapy metabolomics acylcarnitines branched-chain amino acids lipids |
url |
https://www.frontiersin.org/article/10.3389/fnins.2019.00926/full |
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doaj-1d507e490bc94b759eac5e2877b632db2020-11-24T21:50:34ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2019-09-011310.3389/fnins.2019.00926476871Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT TreatmentSudeepa Bhattacharyya0Boadie W. Dunlop1Siamak Mahmoudiandehkordi2Ahmed T. Ahmed3Gregory Louie4Gregory Louie5Gregory Louie6Mark A. Frye7Richard M. Weinshilboum8Ranga R. Krishnan9A. John Rush10A. John Rush11A. John Rush12Helen S. Mayberg13Helen S. Mayberg14W. Edward Craighead15Rima Kaddurah-Daouk16Rima Kaddurah-Daouk17Rima Kaddurah-Daouk18Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United StatesDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United StatesDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United StatesDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United StatesDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United StatesDepartment of Medicine, Duke University, Durham, NC, United StatesDuke Institute for Brain Sciences, Duke University, Durham, NC, United StatesDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United StatesDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, United StatesDepartment of Psychiatry, Rush University Medical Center, Chicago, IL, United StatesDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United StatesDepartment of Psychiatry, Texas Tech University, Health Sciences Center, Permian Basin, TX, United States0Duke-NUS Medical School, Singapore, SingaporeDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States1Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, United StatesDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United StatesDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United StatesDepartment of Medicine, Duke University, Durham, NC, United StatesDuke Institute for Brain Sciences, Duke University, Durham, NC, United StatesMajor depressive disorder (MDD) is a common and disabling syndrome with multiple etiologies that is defined by clinically elicited signs and symptoms. In hopes of developing a list of candidate biological measures that reflect and relate closely to the severity of depressive symptoms, so-called “state-dependent” biomarkers of depression, this pilot study explored the biochemical underpinnings of treatment response to cognitive behavior therapy (CBT) in medication-free MDD outpatients. Plasma samples were collected at baseline and week 12 from a subset of MDD patients (N = 26) who completed a course of CBT treatment as part of the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study. Targeted metabolomic profiling using the AbsoluteIDQ® p180 Kit and LC-MS identified eight “co-expressed” metabolomic modules. Of these eight, three were significantly associated with change in depressive symptoms over the course of the 12-weeks. Metabolites found to be most strongly correlated with change in depressive symptoms were branched chain amino acids, acylcarnitines, methionine sulfoxide, and α-aminoadipic acid (negative correlations with symptom change) as well as several lipids, particularly the phosphatidlylcholines (positive correlation). These results implicate disturbed bioenergetics as an important state marker in the pathobiology of MDD. Exploratory analyses contrasting remitters to CBT versus those who failed the treatment further suggest these metabolites may serve as mediators of recovery during CBT treatment. Larger studies examining metabolomic change patterns in patients treated with pharmacotherapy or psychotherapy will be necessary to elucidate the biological underpinnings of MDD and the -specific biologies of treatment response.https://www.frontiersin.org/article/10.3389/fnins.2019.00926/fullmajor depressioncognitive behavioral therapymetabolomicsacylcarnitinesbranched-chain amino acidslipids |