ArticlePsychopharmacology2015
The BDNF Val(66)Met polymorphism is associated with escitalopram response in depressed patients.
Article in Psychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Brain Derived Neurotrophic Factor (BDNF) Gene Polymorphism and Response to Antidepressants Treatment in Major Depression
Depression in the Elderly and Cerebral Amyloid Plaques: Characterization by [18F] AV-45 Affectives Symptoms and Amyloïd Plaques (ASAP)
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genetic Landscape of Major Depressive Disorder: Assessment of Potential Diagnostic and Antidepressant Response Markers.The international journal of neuropsychopharmacology · 2023Pooled it
- The genetic overlap between mood disorders and cardiometabolic diseases: a systematic review of genome wide and candidate gene studies.Translational psychiatry · 2017Pooled it
- BDNF/BDNF-AS Gene Polymorphisms Modulate Treatment Response and Remission in Bipolar Disorder: A Randomized Clinical Trial.Journal of personalized medicine · 2025Article
- The antidepressant efficacy of subanesthetic-dose ketamine does not correlate with baseline subcortical volumes in a replication sample with major depressive disorder.Journal of psychopharmacology (Oxford, England) · 2017Article
- Treatment-resistant depression: are animal models of depression fit for purpose?Psychopharmacology · 2015Review
- Advancing pediatric psychiatry research: linking neurobiological processes to novel treatment and diagnosis through Research Domain Criteria (RDoC).Therapeutic innovation & regulatory science · 2015Article
- Pharmacogenetics of major depressive disorder: top genes and pathways toward clinical applications.Current psychiatry reports · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe brain-derived neurotrophic factor (BDNF) gene is a candidate gene in therapeutic responses to antidepressants. The aim of the study was to determine the effects of BDNF allelic variability on responses to escitalopram treatment at 3 weeks after treatment initiation and at a 6-week endpoint.
methodsWe included 187 Caucasian subjects with depression; 153 completed the 6-week study. Clinical evaluation was performed using the Montgomery and Asberg Depression Rating Scale (MADRS) before and after 3-6 weeks of treatment.
resultsAfter 3 weeks of treatment, we saw significantly better treatment responses in the Met carriers and greater antidepressant resistance among the Val/Val homozygotes. Relative to Val/Val homozygous (59.78 %), a significantly greater proportion of subjects Met-carriers (77.94 %) responded to escitalopram treatment (χ (2) = 5.88, p = 0.015). After 6 weeks, we found the same pattern of results but this effect did not reach statistical significance (χ (2) = 2.07, p = 0.15).
conclusionThese findings highlight a significant association between the BDNF valine to methionine substitution (Val(66)Met) polymorphism and the treatment response to escitalopram in a Caucasian population of severely depressed inpatients.
Indexed as
Identifiers
25074447What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.