ArticleBMC psychiatry2020
The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes.
Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03984084 (The Biological Classification of Mental Disorders Study), which is not on this map. Cited by 36 papers, 1 of them a synthesis 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.
The Biological Classification of Mental Disorders Study: Towards a New Taxonomy of Mental Disorders
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- Abnormal neural activation during negative emotion processing in anxiety disorders: a coordinate-based meta-analysis.CNS spectrums · 2024Pooled it
- Protocol of the randomized double blind sham controlled AddVNS study of transcutaneous vagus nerve stimulation mechanisms in depression.Scientific reports · 2026Trial
- Comprehensive analysis of cytokines in depression: independent data from patient plasma and post-mortem ventromedial prefrontal cortex.Brain, behavior, & immunity - health · 2026Article
- Environmental metals, prostaglandin pathways, and immune-mediated neuroinflammation in autism spectrum disorder: A secondary analysis of peripheral biomarker studies.Metabolic brain disease · 2026Article
- Computational whole-body-exposome models for global precision brain health.Nature communications · 2025Article
- Global organisation of structural covariance networks derived from parcellated cortical surface area in atypical populations.bioRxiv : the preprint server for biology · 2025Article
- Integrative gene and isoform co-expression networks reveal regulatory rewiring in stress-related psychiatric disorders.iScience · 2025Article
- Accounting for differences between Infinium MethylationEPIC v2 and v1 in DNA methylation-based tools.Life science alliance · 2025Article
- Accounting for differences between Infinium MethylationEPIC v2 and v1 in DNA methylation-based tools.bioRxiv : the preprint server for biology · 2025Article
- Chronic exposure to glucocorticoids amplifies inhibitory neuron cell fate during human neurodevelopment in organoids.Science advances · 2025Article
- Everyday stress-induced neurobehavioral dysregulation: therapeutic targets for management with Neurexan.Frontiers in psychiatry · 2025Review
- Unstable States and the Biologization of Mental Illness.SSM. Mental health · 2024Article
- A systematic review of the biomarkers associated with cognition and mood state in bipolar disorder.International journal of bipolar disorders · 2024Article
- DNA methylation patterns of FKBP5 regulatory regions in brain and blood of humanized mice and humans.Molecular psychiatry · 2024Article
- Free-viewing gaze patterns reveal a mood-congruency bias in MDD during an affective fMRI/eye-tracking task.European archives of psychiatry and clinical neuroscience · 2024Observational
- Polygenic risk for schizophrenia converges on alternative polyadenylation as molecular mechanism underlying synaptic impairment.bioRxiv : the preprint server for biology · 2024Article
- Assessing hypo-arousal during reward anticipation with pupillometry in patients with major depressive disorder: replication and correlations with anhedonia.Scientific reports · 2024Article
- Leveraging big data for causal understanding in mental health: a research framework.Frontiers in psychiatry · 2024Review
- Capturing inter-individual variability in stress dynamics with heart rate traces reveals activity in the bilateral hippocampus, amygdala, and insula.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- High-throughput screening of glucocorticoid-induced enhancer activity reveals mechanisms of stress-related psychiatric disorders.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA major research finding in the field of Biological Psychiatry is that symptom-based categories of mental disorders map poorly onto dysfunctions in brain circuits or neurobiological pathways. Many of the identified (neuro) biological dysfunctions are "transdiagnostic", meaning that they do not reflect diagnostic boundaries but are shared by different ICD/DSM diagnoses. The compromised biological validity of the current classification system for mental disorders impedes rather than supports the development of treatments that not only target symptoms but also the underlying pathophysiological mechanisms. The Biological Classification of Mental Disorders (BeCOME) study aims to identify biology-based classes of mental disorders that improve the translation of novel biomedical findings into tailored clinical applications.
methodsBeCOME intends to include at least 1000 individuals with a broad spectrum of affective, anxiety and stress-related mental disorders as well as 500 individuals unaffected by mental disorders. After a screening visit, all participants undergo in-depth phenotyping procedures and omics assessments on two consecutive days. Several validated paradigms (e.g., fear conditioning, reward anticipation, imaging stress test, social reward learning task) are applied to stimulate a response in a basic system of human functioning (e.g., acute threat response, reward processing, stress response or social reward learning) that plays a key role in the development of affective, anxiety and stress-related mental disorders. The response to this stimulation is then read out across multiple levels. Assessments comprise genetic, molecular, cellular, physiological, neuroimaging, neurocognitive, psychophysiological and psychometric measurements. The multilevel information collected in BeCOME will be used to identify data-driven biologically-informed categories of mental disorders using cluster analytical techniques. DISCUSSION: The novelty of BeCOME lies in the dynamic in-depth phenotyping and omics characterization of individuals with mental disorders from the depression and anxiety spectrum of varying severity. We believe that such biology-based subclasses of mental disorders will serve as better treatment targets than purely symptom-based disease entities, and help in tailoring the right treatment to the individual patient suffering from a mental disorder. BeCOME has the potential to contribute to a novel taxonomy of mental disorders that integrates the underlying pathomechanisms into diagnoses.
trial registrationRetrospectively registered on June 12, 2019 on ClinicalTrials.gov (TRN: NCT03984084).
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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.