Biomarkers predicting antidepressant treatment response: how can we advance the field? - Test2 - elhamkhani - TriplyDB

Biomarkers predicting antidepressant treatment response: how can we advance the field?

Biomarkers predicting antidepressant treatment response: how can we advance the field?

http://www.wikidata.org/entity/Q27026147

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Pathogenetic and Therapeutic Applications of Tumor Necrosis Factor-α (TNF-α) in Major Depressive Disorder: A Systematic Review Biological predictors of pharmacological therapy in anxiety disorders A Review of Biomarkers in Mood and Psychotic Disorders: A Dissection of Clinical vs. Preclinical Correlates Data mining EEG signals in depression for their diagnostic value Prediction of long-term treatment response to selective serotonin reuptake inhibitors (SSRIs) using scalp and source loudness dependence of auditory evoked potentials (LDAEP) analysis in patients with major depressive disorder.Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive Disorder Pathogenetic and therapeutic applications of microRNAs in major depressive disorder Chronic corticosterone-mediated dysregulation of microRNA network in prefrontal cortex of rats: relevance to depression pathophysiology The Relationship between Fatty Acids and Different Depression-Related Brain Regions, and Their Potential Role as Biomarkers of Response to Antidepressants.Differential Peripheral Proteomic Biosignature of Fluoxetine Response in a Mouse Model of Anxiety/Depression.Potential Use of MicroRNA for Monitoring Therapeutic Response to Antidepressants.The bio-distribution of the antidepressant clomipramine is modulated by chronic stress in mice: effects on behavior.MicroRNA-Mediated Regulation of ITGB3 and CHL1 Is Implicated in SSRI Action.Common genes associated with antidepressant response in mouse and man identify key role of glucocorticoid receptor sensitivity.Progress in Elucidating Biomarkers of Antidepressant Pharmacological Treatment Response: A Systematic Review and Meta-analysis of the Last 15 Years.Identification of MicroRNA-124-3p as a Putative Epigenetic Signature of Major Depressive Disorder.Blood transcriptomic markers for major depression: from animal models to clinical settings.Understanding and Predicting Antidepressant Response: Using Animal Models to Move Toward Precision Psychiatry

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P2860

Biomarkers predicting antidepressant treatment response: how can we advance the field?

http://www.wikidata.org/entity/Q27026147

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2013 nî lūn-bûn

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2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2013 թվականի հուլիսին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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name

Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Biomarkers predicting antidepressant treatment response: how can we advance the field?

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Christiana Labermaier

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Marianne B Müller

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P2860

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis

The neuronal transporter gene SLC6A15 confers risk to major depression

Epigenetics of the depressed brain: role of histone acetylation and methylation

Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

MicroRNAs: small RNAs with a big role in gene regulation

Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment

Penetration of amitriptyline, but not of fluoxetine, into brain is enhanced in mice with blood-brain barrier deficiency due to mdr1a P-glycoprotein gene disruption

Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial

Differences in Brain Glucose Metabolism Between Responders to CBT and Venlafaxine in a 16-Week Randomized Controlled Trial

Common genetic variation and antidepressant efficacy in major depressive disorder: a meta-analysis of three genome-wide pharmacogenetic studies.

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