Evidence map›Paper›PMID 32393358›Full record

ArticleBMC psychiatry2020

The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes.

Tanja M Brückl, Victor I Spoormaker, Philipp G Sämann, Anna-Katharine Brem, Lara Henco, Darina Czamara, Immanuel Elbau, Norma C Grandi, Lee Jollans, Anne Kühnel and 10 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT03984084 unknown statusnot on this map

The Biological Classification of Mental Disorders Study: Towards a New Taxonomy of Mental Disorders

TypeobservationalSponsorMax-Planck-Institute of PsychiatryRan2015 to 2025Enrolled1,500ConditionsMental Disorder, Depressive Disorder, Anxiety, Trauma and Stressor Related DisordersArmsno intervention
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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  20. 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 · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 2 institutions in 2 countries.

Tanja M BrücklDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany. brueckl@psych.mpg.de.
Victor I SpoormakerDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Philipp G SämannMax Planck Institute of Psychiatry, Munich, Germany.
Anna-Katharine BremMax Planck Institute of Psychiatry, Munich, Germany.
Lara HencoIndependent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany.
Darina CzamaraDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Immanuel ElbauDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Norma C GrandiDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Lee JollansDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Anne KühnelDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Laura LeuchsDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Dorothee PöhlchenDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Maximilian SchneiderMax Planck Institute of Psychiatry, Munich, Germany.
Alina TontschDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Martin E KeckMax Planck Institute of Psychiatry, Munich, Germany.
Leonhard SchilbachIndependent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany.
Michael CzischMax Planck Institute of Psychiatry, Munich, Germany.
Susanne LucaeMax Planck Institute of Psychiatry, Munich, Germany.
Angelika ErhardtDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Elisabeth B BinderDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany.
Max Planck Institute of Psychiatry · DEBerenson Allen Center for Noninvasive Brain Stimulation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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).

Indexed as

Biological ProductsMental DisordersPsychotic DisordersAnxiety DisordersFearHumansRewardBiological ProductsAnxietyBiology-based taxonomyDepressionNeuroimagingOmicsPsychiatryResearch domain criteria (RDoC)StressTransdiagnosticTranslational

Identifiers

PMID32393358
PMCPMC7216390
OpenAlexW3027693669

What OpenQuestion holds

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LicenceCC BY
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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.