A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe

Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal. The Psych-STRATA consortium addresses this research gap through a seven-step approach. First, transdiagnostic biosignatures of SCZ, BD and MDD are identified by GWAS and multi-modal omics signatures associated with treatment outcome and TR (steps 1 and 2). In a next step (step 3), a randomized controlled intervention study is conducted to test the efficacy and safety of an early intensified pharmacological treatment. Following this RCT, a combined clinical and omics-based algorithm will be developed to estimate the risk for TR. This algorithm-based tool will be designed for early detection and management of TR (step 4). This algorithm will then be implemented into a framework of shared treatment decision-making with a novel mental health board (step 5). The final focus of the project is based on patient empowerment, dissemination and education (step 6) as well as the development of a software for fast, effective and individualized treatment decisions (step 7). The project has the potential to change the current trial and error treatment approach towards an evidence-based individualized treatment setting that takes TR risk into account at an early stage.

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Journal
European Archives of Psychiatry and Clinical Neuroscience
Published
2024-12-27
DOI
https://doi.org/10.1007/s00406-024-01944-3
Citations
7
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
3.85

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article

A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe

Oliver Howes, Andreas Tsoumanis, Klaus Peter Lieb, Mara Dierssen et al.
7 citations
European Archives of Psychiatry and Clinical Neuroscience
Genetic Associations and Epidemiology
3.85
article

A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe

Oliver Howes, Andreas Tsoumanis, Klaus Peter Lieb, Mara Dierssen, Ibrahim A. Akkouh, Isabella Willcocks, Sergio Barlati, James Walters, Roland Ricken, Michael J. Ziller, Ole A. Andreassen, Linda Levi, Jurjen J. Luykx, D. Weichert, Cynthia Okhuijsen‐Pfeifer, Christoph Stephan, Bernhard T. Baune, Nicola Lorenzón, Martin Drießen, Antonio F. Pardiñas, Chiara Fabbri, Nora Gottlieb, Koen Demyttenaere, Covadonga M. Díaz‐Caneja, Sergi Papiol, Antonio Vita, Armida Mucci, Claudio Brasso, Simone Gasser, Stephan Ripke, Bertram Müller‐Myhsok, V. Cavone, Konstantinos D. Papavasileiou, Thomas G. Schulze, María Martínez de Lagrán, Andreas Reif, Srdjan Djurovic, Alessio Squassina, Holger Fröhlich, Ulrich Ebner‐Priemer, Mirko Manchia, Susanne Englisch, Allan H. Young, Monika Budde, Eduard Vieta, Pasquale Paribello, Alessandro Serretti, Claudia Pisanu, Philippe Fossati, Lídia Ilzarbe, Marie‐Claude Potier, Tobias D. Kockler, Haang Jeung-Maarse, Mazda Adli, Mikael Åberg, Lars Vedel Kessing, Elke Heirman, Paola Rocca, Pichit Buspavanich, Peter Nilsson, Carmen Moreno, C. Schiweck, Klaus Oliver Schubert, Daniela Scherrer, Antreas Afantitis, Alessandra Minelli, Inge Winter-van Rossum, Cecilio Ángulo, Sarah E. Fromme, Jan Engelmann, Paola Bucci, Erik Van der Eycken, Mikael Landén, A. Hofer, M. Weiser
article en
7 citations

Abstract

Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal. The Psych-STRATA consortium addresses this research gap through a seven-step approach. First, transdiagnostic biosignatures of SCZ, BD and MDD are identified by GWAS and multi-modal omics signatures associated with treatment outcome and TR (steps 1 and 2). In a next step (step 3), a randomized controlled intervention study is conducted to test the efficacy and safety of an early intensified pharmacological treatment. Following this RCT, a combined clinical and omics-based algorithm will be developed to estimate the risk for TR. This algorithm-based tool will be designed for early detection and management of TR (step 4). This algorithm will then be implemented into a framework of shared treatment decision-making with a novel mental health board (step 5). The final focus of the project is based on patient empowerment, dissemination and education (step 6) as well as the development of a software for fast, effective and individualized treatment decisions (step 7). The project has the potential to change the current trial and error treatment approach towards an evidence-based individualized treatment setting that takes TR risk into account at an early stage.

European Archives of Psychiatry and Clinical NeuroscienceVol. 275(5)
Karlsruhe Institute of Technology (DE), Goethe University Frankfurt (DE), University of Bern (CH), Technological Educational Institute of Piraeus (GR), Uppsala University (SE), University of Copenhagen (DK), Oslo University Hospital (NO), Centre National de la Recherche Scientifique (FR), Dalhousie University (CA), University of Bonn (DE), Innsbruck Medical University (AT), Inserm (FR), Tel Aviv University (IL), The University of Melbourne (AU), Universitat Pompeu Fabra (ES), University of Cagliari (IT), King's College London (GB), University of Oslo (NO), Universität Innsbruck (AT), Johannes Gutenberg University Mainz (DE), University of Campania "Luigi Vanvitelli" (IT), Bielefeld University (DE), Heidelberg University (DE), University of Münster (DE), Florey Institute of Neuroscience and Mental Health (AU), Università degli Studi di Enna Kore (IT), Sheba Medical Center (IL), Science for Life Laboratory (SE), Instituto de Salud Carlos III (ES), University Hospital Heidelberg (DE), Hospital General Universitario Gregorio Marañón (ES), University Medical Center Utrecht (NL), Maastricht University (NL), Sorbonne Université (FR), Centro de Investigación Biomédica en Red de Salud Mental (ES), University Medical Center of the Johannes Gutenberg University Mainz (DE), Assistance Publique – Hôpitaux de Paris (FR), Fraunhofer Institute for Algorithms and Scientific Computing (DE), Augenstern (DE), Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia (IT), Evangelisches Krankenhaus Bielefeld (DE), Central Institute of Mental Health (DE), Centro San Giovanni di Dio Fatebenefratelli (IT), Hospital Clínic de Barcelona (ES), SA Health (AU), Pitié-Salpêtrière Hospital (FR), Hospital Del Mar (ES), University Hospital Frankfurt (DE), DRK Kliniken Berlin (DE), Centre for Genomic Regulation (ES), GGZ inGeest (NL), Medizinische Hochschule Brandenburg Theodor Fontane (DE), Max Planck Institute of Psychiatry (DE), Amsterdam University Medical Centers (NL), Institut du Cerveau (FR), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), University Psychiatric Hospital (SI), Bonn Aachen International Center for Information Technology (DE), University of Turin (IT), The University of Adelaide (AU), Geneva College (US), Universitat de Barcelona (ES), Charité - Universitätsmedizin Berlin (DE), Cardiff University (GB), University of Brescia (IT), KTH Royal Institute of Technology (SE), University of Gothenburg (SE), University of Bologna (IT), KU Leuven (BE)
Fundació la Marató de TV3, South London and Maudsley NHS Foundation Trust, National Institute for Health and Care Research, Department of Health and Social Care, King's College London, European Commission, Agence Nationale de la Recherche, Bundesministerium für Gesundheit, Westfälische Wilhelms-Universität Münster, HORIZON EUROPE Framework Programme, NIHR Maudsley Biomedical Research Centre, Medical Research Council, Departament de Salut, Generalitat de Catalunya
Openalex Percentile: Top 6%
Genetic Associations and Epidemiology
3.85
DOIOpen Access PDFOpenAlex
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