Personality differences between patients with major depression and bipolar disorder — the impact of minor symptoms on self-ratings of personality1From the MAP-Study: "A randomized, prospective, multicenter study of long-term treatment of affective and schizoaffective psychoses", supported by the BMFT (Ministry of Research and Technology of the FRG; grant no. 0701605); Project coordinator: W. Greil, Munich.1

1997 ◽  
Vol 42 (2-3) ◽  
pp. 169-177 ◽  
Author(s):  
H Sauer ◽  
P Richter ◽  
A Czernik ◽  
W Ludwig-Mayerhofer ◽  
C Schöchlin ◽  
...  
Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1259
Author(s):  
Gerard Anmella ◽  
Silvia Vilches ◽  
Jordi Espadaler ◽  
Andrea Murru ◽  
Isabella Pacchiarotti ◽  
...  

Several pharmacogenetic-based decision support tools for psychoactive medication selection are available. However, the scientific evidence of the gene-drug pairs analyzed is mainly based on pharmacogenetic studies in patients with major depression or schizophrenia, and their clinical utility is mostly assessed in major depression. This study aimed at evaluating the impact of individual genes, with pharmacogenetic relevance in other psychiatric conditions, in the response to treatment in bipolar depression. Seventy-six patients diagnosed with bipolar disorder and an index major depressive episode were included in an observational retrospective study. Sociodemographic and clinical data were collected, and all patients were genotyped using a commercial multigene pharmacogenomic-based tool (Neuropharmagen®, AB-Biotics S.A., Barcelona, Spain). Multiple linear regression was used to identify pharmacogenetic and clinical predictors of efficacy and tolerability of medications. The pharmacogenetic variables response to serotonin-norepinephrine reuptake inhibitors (SNRIs) (ABCB1) and reduced metabolism of quetiapine (CYP3A4) predicted patient response to these medications, respectively. ABCB1 was also linked to the tolerability of SNRIs. An mTOR-related multigenic predictor was also associated with a lower number of adverse effects when including switch and autolytical ideation. Our results suggest that the predictors identified could be useful to guide the pharmacological treatment in bipolar disorder. Additional clinical studies are necessary to confirm these findings.


2007 ◽  
Vol 40 (06) ◽  
Author(s):  
E Severus ◽  
N Kleindienst ◽  
F Seemüller ◽  
S Frangou ◽  
HJ Möller ◽  
...  

2004 ◽  
Vol 16 (6) ◽  
pp. 319-325 ◽  
Author(s):  
Pierre S. Chue ◽  
Peter D'Hoore ◽  
J. Michael Ramstack

Chronic disorders such as schizophrenia require long-term treatment programs in order to maintain patients at the lowest level of symptomatology, reduce the likelihood of psychotic relapse, and support achievement of remission and recovery. Evidence suggests that treatment with long-acting injectable antipsychotics reduces the impact of partial compliance and provides predictable release of medication, assuring continuous therapeutic coverage. Until recently, only conventional antipsychotic agents were available in long-acting formulations, thereby foregoing the advantages of the atypical class. Atypical agents which are given orally have been shown to provide long-term efficacy and tolerability benefits compared with conventional agents, but are limited by the need for daily administration. The most recent pharmacological strategy to achieve optimal maintenance treatment has been to combine the benefits of an atypical antipsychotic with delivery in a water-based long-acting formulation. The first antipsychotic to achieve this combination – long-acting risperidone – may thus represent an important advance in the optimization of long-term treatment outcomes in patients with schizophrenia.


2017 ◽  
Vol 19 (1) ◽  
pp. 65-67 ◽  
Author(s):  
Gin S Malhi ◽  
Grace Morris ◽  
Amber Hamilton ◽  
Tim Outhred ◽  
Pritha Das

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Caitlin S. Yee ◽  
Gustavo H. Vázquez ◽  
Emily R. Hawken ◽  
Aleksandar Biorac ◽  
Leonardo Tondo ◽  
...  

Spine ◽  
2006 ◽  
Vol 31 (26) ◽  
pp. 3061-3069 ◽  
Author(s):  
Steven J. Atlas ◽  
Yuchiao Chang ◽  
Robert B. Keller ◽  
Daniel E. Singer ◽  
Yen A. Wu ◽  
...  

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