ReviewDisease markers2013
Biomarkers predicting antidepressant treatment response: how can we advance the field?
Review in Disease markers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- DNA Methylation as a Biomarker of Treatment Response Variability in Serious Mental Illnesses: A Systematic Review Focused on Bipolar Disorder, Schizophrenia, and Major Depressive Disorder.International journal of molecular sciences · 2018Pooled it
- Pooled it
- Pathogenetic and Therapeutic Applications of Tumor Necrosis Factor-α (TNF-α) in Major Depressive Disorder: A Systematic Review.International journal of molecular sciences · 2016Pooled it
- Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2022Trial
- Predicting antidepressant treatment outcome based on socioeconomic status and citalopram dose.The pharmacogenomics journal · 2019Trial
- 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.International journal of molecular sciences · 2015Trial
- Intranasal administration in modulating depressive-like behavior and reconstructing treatment paradigms through neuroinflammation and neurotrophic pathways.Journal of nanobiotechnology · 2026Review
- Interactive dynamic modulation of antidepressant treatment response by serum interleukin-1β and Neuroticism at 12 weeks.Scientific reports · 2026Article
- Omics Approaches to Investigate the Pathogenesis of Suicide.Biological psychiatry · 2024Review
- Article
- Neurobiological Highlights of Cognitive Impairment in Psychiatric Disorders.International journal of molecular sciences · 2022Review
- Longitudinal CSF proteome profiling in mice to uncover the acute and sustained mechanisms of action of rapid acting antidepressant (2R,6R)-hydroxynorketamine (HNK).Neurobiology of stress · 2021Article
- Exosomal let-7e, miR-21-5p, miR-145, miR-146a and miR-155 in Predicting Antidepressants Response in Patients with Major Depressive Disorder.Biomedicines · 2021Article
- DNA Methylation of the Oxytocin Receptor Across Neurodevelopmental Disorders.Journal of autism and developmental disorders · 2021Article
- Association of the neutrophil to lymphocyte ratio and white blood cell count with response to pharmacotherapy in unipolar psychotic depression: An exploratory analysis.Brain, behavior, & immunity - health · 2021Article
- Treatment-emergent and trajectory-based peripheral gene expression markers of antidepressant response.Translational psychiatry · 2021Article
- Metabolomic signatures associated with depression and predictors of antidepressant response in humans: A CAN-BIND-1 report.Communications biology · 2021Article
- A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells.Translational psychiatry · 2021Article
- Integrated genome-wide methylation and expression analyses reveal functional predictors of response to antidepressants.Translational psychiatry · 2019Article
- MiR-124 suppression in the prefrontal cortex reduces depression-like behavior in mice.Bioscience reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depression, affecting an estimated 350 million people worldwide, poses a serious social and economic threat to modern societies. There are currently two major problems calling for innovative research approaches, namely, the absence of biomarkers predicting antidepressant response and the lack of conceptually novel antidepressant compounds. Both, biomarker predicting a priori whether an individual patient will respond to the treatment of choice as well as an early distinction of responders and nonresponders during antidepressant therapy can have a significant impact on improving this situation. Biosignatures predicting antidepressant response a priori or early in treatment would enable an evidence-based decision making on available treatment options. However, research to date does not identify any biologic or genetic predictors of sufficient clinical utility to inform the selection of specific antidepressant compound for an individual patient. In this review, we propose an optimized translational research strategy to overcome some of the major limitations in biomarker discovery. We are confident that early transfer and integration of data between both species, ideally leading to mutual supportive evidence from both preclinical and clinical studies, are most suitable to address some of the obstacles of current depression research.
Indexed as
Identifiers
What 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.