Biomarkers Predicting Antidepressant Treatment Response: How Can We Advance the Field?
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Biomarkers Predicting Antidepressant Treatment Response: How Can We Advance the Field?
Authors
Keywords
-
Journal
DISEASE MARKERS
Volume 35, Issue -, Pages 23-31
Publisher
Hindawi Limited
Online
2013-08-04
DOI
10.1155/2013/984845
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Common Genetic Variation and Antidepressant Efficacy in Major Depressive Disorder: A Meta-Analysis of Three Genome-Wide Pharmacogenetic Studies
- (2013) et al. AMERICAN JOURNAL OF PSYCHIATRY
- Shared genetics among major psychiatric disorders
- (2013) Alessandro Serretti et al. LANCET
- Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis
- (2013) LANCET
- FKBP5 genetic variation
- (2013) Katarzyna A. Ellsworth et al. Pharmacogenetics and Genomics
- Toward Clinically Useful Neuroimaging in Depression Treatment
- (2012) Greg J. Siegle et al. ARCHIVES OF GENERAL PSYCHIATRY
- Comprehending depression through proteomics
- (2012) Daniel Martins-de-Souza INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY
- Proteomic and metabolomic profiling reveals time-dependent changes in hippocampal metabolism upon paroxetine treatment and biomarker candidates
- (2012) Christian Webhofer et al. JOURNAL OF PSYCHIATRIC RESEARCH
- 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
- (2012) Christopher J L Murray et al. LANCET
- HDAC2 regulates atypical antipsychotic responses through the modulation of mGlu2 promoter activity
- (2012) Mitsumasa Kurita et al. NATURE NEUROSCIENCE
- Epigenetics of the Depressed Brain: Role of Histone Acetylation and Methylation
- (2012) HaoSheng Sun et al. NEUROPSYCHOPHARMACOLOGY
- Genome-wide miRNA expression profiling of human lymphoblastoid cell lines identifies tentative SSRI antidepressant response biomarkers
- (2012) Keren Oved et al. PHARMACOGENOMICS
- Pharmacoproteomic investigation into antidepressant response in two mouse inbred strains
- (2012) Karim Malki et al. PROTEOMICS
- Are We Getting Closer to Valid Translational Models for Major Depression?
- (2012) O. Berton et al. SCIENCE
- Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial
- (2012) Boadie W Dunlop et al. Trials
- Convergent animal and human evidence suggests the activin/inhibin pathway to be involved in antidepressant response
- (2012) K Ganea et al. Translational Psychiatry
- Epigenetic Mechanisms of Depression and Antidepressant Action
- (2011) Vincent Vialou et al. Annual Review of Pharmacology and Toxicology
- The economic cost of brain disorders in Europe
- (2011) J. Olesen et al. EUROPEAN JOURNAL OF NEUROLOGY
- Meta-analysis of serotonin transporter gene promoter polymorphism (5-HTTLPR) association with antidepressant efficacy
- (2011) Stefano Porcelli et al. EUROPEAN NEUROPSYCHOPHARMACOLOGY
- Surrogate markers of treatment outcome in major depressive disorder
- (2011) George I. Papakostas INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY
- Little things on which happiness depends: microRNAs as novel therapeutic targets for the treatment of anxiety and depression
- (2011) R M O'Connor et al. MOLECULAR PSYCHIATRY
- MicroRNAs and depression
- (2011) Sophie Mouillet-Richard et al. NEUROBIOLOGY OF DISEASE
- The Neuronal Transporter Gene SLC6A15 Confers Risk to Major Depression
- (2011) Martin A. Kohli et al. NEURON
- Adjuvant Trastuzumab in HER2-Positive Breast Cancer
- (2011) Dennis Slamon et al. NEW ENGLAND JOURNAL OF MEDICINE
- MicroRNA Expression Profiling Reveals MiRNA Families Regulating Specific Biological Pathways in Mouse Frontal Cortex and Hippocampus
- (2011) Juuso Juhila et al. PLoS One
- Gene expression biomarkers of response to citalopram treatment in major depressive disorder
- (2011) F Mamdani et al. Translational Psychiatry
- Pretreatment metabotype as a predictor of response to sertraline or placebo in depressed outpatients: a proof of concept
- (2011) R Kaddurah-Daouk et al. Translational Psychiatry
- Personalized Medicine for Depression: Can We Match Patients With Treatments?
- (2010) Gregory E. Simon et al. AMERICAN JOURNAL OF PSYCHIATRY
- Convergent Animal and Human Evidence Suggests a Role of PPM1A Gene in Response to Antidepressants
- (2010) Karim Malki et al. BIOLOGICAL PSYCHIATRY
- Pharmacogenetics of antidepressant response
- (2010) Robert Keers et al. Expert Review of Neurotherapeutics
- Endophenotype: a conceptual analysis
- (2010) K S Kendler et al. MOLECULAR PSYCHIATRY
- Biomarkers to Predict Antidepressant Response
- (2010) Andrew F. Leuchter et al. Current Psychiatry Reports
- A Genomewide Association Study Points to Multiple Loci That Predict Antidepressant Drug Treatment Outcome in Depression
- (2009) Marcus Ising et al. ARCHIVES OF GENERAL PSYCHIATRY
- Pharmacogenetics in Psychiatry - A Useful Clinical Tool or Wishful Thinking for the Future?
- (2009) J. Kirchheiner et al. CURRENT PHARMACEUTICAL DESIGN
- The role of proteomics in depression research
- (2009) Daniel Martins-de-Souza et al. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
- Selecting Among Second-Step Antidepressant Medication Monotherapies
- (2008) A. John Rush et al. ARCHIVES OF GENERAL PSYCHIATRY
- The FKBP5-Gene in Depression and Treatment Response—an Association Study in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Cohort
- (2008) Magnus Lekman et al. BIOLOGICAL PSYCHIATRY
- How can we realize the promise of personalized antidepressant medicines?
- (2008) Florian Holsboer NATURE REVIEWS NEUROSCIENCE
- Polymorphisms in the Drug Transporter Gene ABCB1 Predict Antidepressant Treatment Response in Depression
- (2008) Manfred Uhr et al. NEURON
- Pharmacogenomics: The Promise of Personalized Medicine for CNS Disorders
- (2008) Jose de Leon NEUROPSYCHOPHARMACOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started