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

BACKGROUND: A 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...

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Autores principales: Brückl, Tanja M., Spoormaker, Victor I., Sämann, Philipp G., Brem, Anna-Katharine, Henco, Lara, Czamara, Darina, Elbau, Immanuel, Grandi, Norma C., Jollans, Lee, Kühnel, Anne, Leuchs, Laura, Pöhlchen, Dorothee, Schneider, Maximilian, Tontsch, Alina, Keck, Martin E., Schilbach, Leonhard, Czisch, Michael, Lucae, Susanne, Erhardt, Angelika, Binder, Elisabeth B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216390/
https://www.ncbi.nlm.nih.gov/pubmed/32393358
http://dx.doi.org/10.1186/s12888-020-02541-z
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author Brückl, Tanja M.
Spoormaker, Victor I.
Sämann, Philipp G.
Brem, Anna-Katharine
Henco, Lara
Czamara, Darina
Elbau, Immanuel
Grandi, Norma C.
Jollans, Lee
Kühnel, Anne
Leuchs, Laura
Pöhlchen, Dorothee
Schneider, Maximilian
Tontsch, Alina
Keck, Martin E.
Schilbach, Leonhard
Czisch, Michael
Lucae, Susanne
Erhardt, Angelika
Binder, Elisabeth B.
author_facet Brückl, Tanja M.
Spoormaker, Victor I.
Sämann, Philipp G.
Brem, Anna-Katharine
Henco, Lara
Czamara, Darina
Elbau, Immanuel
Grandi, Norma C.
Jollans, Lee
Kühnel, Anne
Leuchs, Laura
Pöhlchen, Dorothee
Schneider, Maximilian
Tontsch, Alina
Keck, Martin E.
Schilbach, Leonhard
Czisch, Michael
Lucae, Susanne
Erhardt, Angelika
Binder, Elisabeth B.
author_sort Brückl, Tanja M.
collection PubMed
description BACKGROUND: A 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. METHODS: BeCOME 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 REGISTRATION: Retrospectively registered on June 12, 2019 on ClinicalTrials.gov (TRN: NCT03984084).
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spelling pubmed-72163902020-05-18 The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes Brückl, Tanja M. Spoormaker, Victor I. Sämann, Philipp G. Brem, Anna-Katharine Henco, Lara Czamara, Darina Elbau, Immanuel Grandi, Norma C. Jollans, Lee Kühnel, Anne Leuchs, Laura Pöhlchen, Dorothee Schneider, Maximilian Tontsch, Alina Keck, Martin E. Schilbach, Leonhard Czisch, Michael Lucae, Susanne Erhardt, Angelika Binder, Elisabeth B. BMC Psychiatry Study Protocol BACKGROUND: A 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. METHODS: BeCOME 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 REGISTRATION: Retrospectively registered on June 12, 2019 on ClinicalTrials.gov (TRN: NCT03984084). BioMed Central 2020-05-11 /pmc/articles/PMC7216390/ /pubmed/32393358 http://dx.doi.org/10.1186/s12888-020-02541-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Study Protocol
Brückl, Tanja M.
Spoormaker, Victor I.
Sämann, Philipp G.
Brem, Anna-Katharine
Henco, Lara
Czamara, Darina
Elbau, Immanuel
Grandi, Norma C.
Jollans, Lee
Kühnel, Anne
Leuchs, Laura
Pöhlchen, Dorothee
Schneider, Maximilian
Tontsch, Alina
Keck, Martin E.
Schilbach, Leonhard
Czisch, Michael
Lucae, Susanne
Erhardt, Angelika
Binder, Elisabeth B.
The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes
title The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes
title_full The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes
title_fullStr The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes
title_full_unstemmed The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes
title_short The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes
title_sort biological classification of mental disorders (become) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216390/
https://www.ncbi.nlm.nih.gov/pubmed/32393358
http://dx.doi.org/10.1186/s12888-020-02541-z
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