The multimodal Munich Clinical Deep Phenotyping study to bridge the translational gap in severe mental illness treatment research

  • Introduction: Treatment of severe mental illness (SMI) symptoms, especially negative symptoms and cognitive dysfunction in schizophrenia, remains a major unmet need. There is good evidence that SMIs have a strong genetic background and are characterized by multiple biological alterations, including disturbed brain circuits and connectivity, dysregulated neuronal excitation-inhibition, disturbed dopaminergic and glutamatergic pathways, and partially dysregulated inflammatory processes. The ways in which the dysregulated signaling pathways are interconnected remains largely unknown, in part because well-characterized clinical studies on comprehensive biomaterial are lacking. Furthermore, the development of drugs to treat SMIs such as schizophrenia is limited by the use of operationalized symptom-based clusters for diagnosis. Methods: In line with the Research Domain Criteria initiative, the Clinical Deep Phenotyping (CDP) study is using a multimodal approach to reveal theIntroduction: Treatment of severe mental illness (SMI) symptoms, especially negative symptoms and cognitive dysfunction in schizophrenia, remains a major unmet need. There is good evidence that SMIs have a strong genetic background and are characterized by multiple biological alterations, including disturbed brain circuits and connectivity, dysregulated neuronal excitation-inhibition, disturbed dopaminergic and glutamatergic pathways, and partially dysregulated inflammatory processes. The ways in which the dysregulated signaling pathways are interconnected remains largely unknown, in part because well-characterized clinical studies on comprehensive biomaterial are lacking. Furthermore, the development of drugs to treat SMIs such as schizophrenia is limited by the use of operationalized symptom-based clusters for diagnosis. Methods: In line with the Research Domain Criteria initiative, the Clinical Deep Phenotyping (CDP) study is using a multimodal approach to reveal the neurobiological underpinnings of clinically relevant schizophrenia subgroups by performing broad transdiagnostic clinical characterization with standardized neurocognitive assessments, multimodal neuroimaging, electrophysiological assessments, retinal investigations, and omics-based analyzes of blood and cerebrospinal fluid. Moreover, to bridge the translational gap in biological psychiatry the study includes in vitro investigations on human-induced pluripotent stem cells, which are available from a subset of participants. Results: Here, we report on the feasibility of this multimodal approach, which has been successfully initiated in the first participants in the CDP cohort; to date, the cohort comprises over 194 individuals with SMI and 187 age and gender matched healthy controls. In addition, we describe the applied research modalities and study objectives. Discussion: The identification of cross-diagnostic and diagnosis-specific biotype-informed subgroups of patients and the translational dissection of those subgroups may help to pave the way toward precision medicine with artificial intelligence-supported tailored interventions and treatment. This aim is particularly important in psychiatry, a field where innovation is urgently needed because specific symptom domains, such as negative symptoms and cognitive dysfunction, and treatment-resistant symptoms in general are still difficult to treat.show moreshow less

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Author:Lenka Krčmář, Iris Jäger, Emanuel Boudriot, Katharina Hanken, Vanessa Gabriel, Julian Melcher, Nicole Klimas, Fanny Dengl, Susanne Schmoelz, Pauline Pingen, Mattia Campana, Joanna Moussiopoulou, Vladislav Yakimov, Georgios Ioannou, Sven Wichert, Silvia DeJonge, Peter Zill, Boris Papazov, Valéria de Almeida, Sabrina Galinski, Nadja Gabellini, Genc Hasanaj, Matin Mortazavi, Temmuz Karali, Alexandra Hisch, Marcel S. Kallweit, Verena J. Meisinger, Lisa Löhrs, Karin Neumeier, Stephanie Behrens, Susanne Karch, Benedikt Schworm, Christoph Kern, Siegfried Priglinger, Berend Malchow, Johann Steiner, Alkomiet HasanORCiDGND, Frank Padberg, Oliver Pogarell, Peter Falkai, Andrea Schmitt, Elias WagnerGND, Daniel Keeser, Florian J. Raabe
URN:urn:nbn:de:bvb:384-opus4-1048814
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/104881
ISSN:1664-0640OPAC
Parent Title (English):Frontiers in Psychiatry
Publisher:Frontiers Media SA
Place of publication:Lausanne
Type:Article
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2023/06/16
Tag:Psychiatry and Mental health
Volume:14
First Page:1179811
DOI:https://doi.org/10.3389/fpsyt.2023.1179811
Institutes:Medizinische Fakultät
Medizinische Fakultät / Lehrstuhl für Psychiatrie und Psychotherapie
Medizinische Fakultät / Professur für Evidenzbasierte Psychiatrie und Psychotherapie
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)