Literature DB >> 16437254

[Monoaminergic function in major depression. A possibly helpful tool for choosing treatment strategy].

O Moeller1, C Norra, G Gründer.   

Abstract

Little is known about the variables that might predict outcome in major depression. Most studies do not imply any clinical consequences for treatment because their predictors were nonspecific and results did not differ between the different treatment options. Finding a variable that can predict the antidepressive treatment option best suited to an individual might help in reducing the considerable number of nonresponders in the treatment of depression. As most antidepressants influence the serotonergic or noradrenergic system, monoaminergic function at the start of therapy might be a possible specific response predictor. In this review, measures that can determine monoaminergic function are presented along with their relationship to treatment response, e.g., monoaminergic metabolites, neuroendocrine challenge tests, evoked event-related potentials, genetics, and neuroimaging. In conclusion, the results of serotonergic functions are still heterogeneous, but the relationship between noradrenergic function and treatment response has not been investigated in any detail yet.

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Year:  2006        PMID: 16437254     DOI: 10.1007/s00115-005-2042-2

Source DB:  PubMed          Journal:  Nervenarzt        ISSN: 0028-2804            Impact factor:   1.214


  60 in total

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Authors:  S E Møller
Journal:  Eur Neuropsychopharmacol       Date:  1990-11       Impact factor: 4.600

2.  Plasma levels of catecholamine metabolites predict the response to sulpiride or fluvoxamine in major depression.

Authors:  N Ueda; R Yoshimura; K Shinkai; J Nakamura
Journal:  Pharmacopsychiatry       Date:  2002-09       Impact factor: 5.788

3.  Serotonin 1A receptor binding and treatment response in late-life depression.

Authors:  Carolyn Cidis Meltzer; Julie C Price; Chester A Mathis; Meryl A Butters; Scott K Ziolko; Eydie Moses-Kolko; Sati Mazumdar; Benoit H Mulsant; Patricia R Houck; Brian J Lopresti; Lisa A Weissfeld; Charles F Reynolds
Journal:  Neuropsychopharmacology       Date:  2004-12       Impact factor: 7.853

4.  The intensity dependence of the auditory evoked N1 component as a predictor of response to Citalopram treatment in patients with major depression.

Authors:  Thomas Linka; Bernhard W Müller; Stefan Bender; Gudrun Sartory
Journal:  Neurosci Lett       Date:  2004-09-09       Impact factor: 3.046

5.  Predictive value of tryptophan/large neutral amino acids ratio to antidepressant response.

Authors:  V Lucini; A Lucca; M Catalano; E Smeraldi
Journal:  J Affect Disord       Date:  1996-01-22       Impact factor: 4.839

6.  5-HT2 receptor characteristics in frontal cortex and 5-HT2 receptor-mediated head-twitch behaviour following antidepressant treatment to mice.

Authors:  G M Goodwin; A R Green; P Johnson
Journal:  Br J Pharmacol       Date:  1984-09       Impact factor: 8.739

7.  The cortical serotonin2 receptors studied with positron-emission tomography and [18F]-setoperone during depressive illness and antidepressant treatment with clomipramine.

Authors:  D Attar-Lévy; J L Martinot; J Blin; M H Dao-Castellana; C Crouzel; B Mazoyer; M F Poirier; M C Bourdel; N Aymard; A Syrota; A Féline
Journal:  Biol Psychiatry       Date:  1999-01-15       Impact factor: 13.382

Review 8.  Monoamine dysfunction and the pathophysiology and treatment of depression.

Authors:  D S Charney
Journal:  J Clin Psychiatry       Date:  1998       Impact factor: 4.384

9.  Loudness dependence of primary auditory-cortex-evoked activity as predictor of therapeutic outcome to prophylactic lithium treatment in affective disorders--a retrospective study.

Authors:  G Juckel; P Mavrogiorgou; S Bredemeier; J Gallinat; T Frodl; C Schulz; H-J Möller; U Hegerl
Journal:  Pharmacopsychiatry       Date:  2004-03       Impact factor: 5.788

10.  Response of cortical metabolic deficits to serotonergic challenge in familial mood disorders.

Authors:  Lawrence S Kegeles; Kevin M Malone; Mark Slifstein; Steven P Ellis; Eric Xanthopoulos; John G Keilp; Carl Campbell; Maria Oquendo; Ronald L Van Heertum; J John Mann
Journal:  Am J Psychiatry       Date:  2003-01       Impact factor: 18.112

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