Literature DB >> 20957381

Is there a personalized medicine for mood disorders?

Lucie Bartova1, Andreas Berger, Lukas Pezawas.   

Abstract

Major Depressive Disorder (MDD) and antidepressant therapy response are largely based on behavioral criteria, which are known to correlate at best modestly with biological measures. Therefore, it is not surprising that the search for peripheral biological markers (biomarkers) being assessed in distant biological systems such as body fluids has not yet resulted in clinically convincing measures for MDD diagnostics or treatment evaluation. Imaging genetics studies, however, have been successful in the search for intermediate imaging phenotypes of MDD and treatment response that are directly related to the neurobiological underpinnings of MDD, but are not suitable for a broad clinical use today. Hence, we argue that intermediate phenotypes derived from imaging genetics studies should be utilized as substitutes of behaviorally assessed psychiatric diagnoses or therapy response in the search for easily accessible peripheral biomarkers. This article will further cover the current state of peripheral and neural biomarker research.

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Year:  2010        PMID: 20957381     DOI: 10.1007/s00406-010-0152-8

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  33 in total

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Authors: 
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3.  The change of prefrontal QEEG theta cordance as a predictor of response to bupropion treatment in patients who had failed to respond to previous antidepressant treatments.

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4.  Mood alters amygdala activation to sad distractors during an attentional task.

Authors:  Lihong Wang; Kevin S LaBar; Gregory McCarthy
Journal:  Biol Psychiatry       Date:  2006-05-19       Impact factor: 13.382

Review 5.  Consensus paper of the WFSBP Task Force on Biological Markers: biological markers in depression.

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Journal:  World J Biol Psychiatry       Date:  2007       Impact factor: 4.132

6.  The missing link between clinical endpoints and drug targets in depression.

Authors:  Oscar Della Pasqua; Gijs W Santen; Meindert Danhof
Journal:  Trends Pharmacol Sci       Date:  2010-02-01       Impact factor: 14.819

7.  Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness.

Authors:  H S Mayberg; M Liotti; S K Brannan; S McGinnis; R K Mahurin; P A Jerabek; J A Silva; J L Tekell; C C Martin; J L Lancaster; P T Fox
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8.  Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene.

Authors:  Avshalom Caspi; Karen Sugden; Terrie E Moffitt; Alan Taylor; Ian W Craig; HonaLee Harrington; Joseph McClay; Jonathan Mill; Judy Martin; Antony Braithwaite; Richie Poulton
Journal:  Science       Date:  2003-07-18       Impact factor: 47.728

9.  Evidence of biologic epistasis between BDNF and SLC6A4 and implications for depression.

Authors:  L Pezawas; A Meyer-Lindenberg; A L Goldman; B A Verchinski; G Chen; B S Kolachana; M F Egan; V S Mattay; A R Hariri; D R Weinberger
Journal:  Mol Psychiatry       Date:  2008-03-18       Impact factor: 15.992

Review 10.  Imaging phenotypes of major depressive disorder: genetic correlates.

Authors:  J B Savitz; W C Drevets
Journal:  Neuroscience       Date:  2009-04-07       Impact factor: 3.590

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  10 in total

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2.  Influence of family history of major depression, bipolar disorder, and suicide on clinical features in patients with major depression and bipolar disorder.

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Review 4.  Personalized medicine in major depressive disorder -- opportunities and pitfalls.

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Journal:  Metabolism       Date:  2012-09-26       Impact factor: 8.694

Review 5.  Can we observe epigenetic effects on human brain function?

Authors:  Yuliya S Nikolova; Ahmad R Hariri
Journal:  Trends Cogn Sci       Date:  2015-06-04       Impact factor: 20.229

6.  On the application of light therapy in German-speaking countries.

Authors:  Reinhard Fischer; Siegfried Kasper; Edda Pjrek; Dietmar Winkler
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2012-01-07       Impact factor: 5.270

7.  Antidepressant treatment effects on dopamine transporter availability in patients with major depression: a prospective 123I-FP-CIT SPECT imaging genetic study.

Authors:  Sabine Hellwig; Lars Frings; Annette Masuch; Werner Vach; Katharina Domschke; Claus Normann; Philipp T Meyer
Journal:  J Neural Transm (Vienna)       Date:  2018-02-23       Impact factor: 3.575

8.  A Systematic Review of Circulatory microRNAs in Major Depressive Disorder: Potential Biomarkers for Disease Prognosis.

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9.  Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study.

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Journal:  Psychol Med       Date:  2018-06-04       Impact factor: 7.723

10.  Time Course of Changes in Peripheral Blood Gene Expression During Medication Treatment for Major Depressive Disorder.

Authors:  Ian A Cook; Eliza Congdon; David E Krantz; Aimee M Hunter; Giovanni Coppola; Steven P Hamilton; Andrew F Leuchter
Journal:  Front Genet       Date:  2019-09-18       Impact factor: 4.599

  10 in total

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