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Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank

Datos Bibliográficos

ID15526470
AutoresJános Kálmán (0000-0001-5319-5639, Ludwig-Maximilians-Universität München, autor de correspondencia), Janos L Kalman, Gerrit Burkhardt (0000-0003-3965-5664, LMU Klinikum), Kristina Adorjan (0000-0001-7501-9556, LMU Klinikum), Barbara B Barton (0000-0003-3614-9918, Ludwig-Maximilians-Universität München), Sylvia de Jonge (Ludwig-Maximilians-Universität München), Daniela Eser-Valeri (LMU Klinikum), Christine M Falter‐Wagner (0000-0002-5574-8919, Ludwig-Maximilians-Universität München), Christine M Falter-Wagner, Urs Heilbronner (0000-0001-7135-762X, Ludwig-Maximilians-Universität München), Andrea Jobst (0000-0002-1506-0749, Ludwig-Maximilians-Universität München), Daniel Keeser (0000-0002-0244-1024, Ludwig-Maximilians-Universität München), Christian Koenig (0000-0003-0087-2266, Ludwig-Maximilians-Universität München), Gabi Koller (Ludwig-Maximilians-Universität München), Nikolaos Koutsouleris (0000-0001-6825-6262, Max Planck Institute of Psychiatry), Carolin Kurz (0000-0003-4299-6240, Ludwig-Maximilians-Universität München), Dominic Landgraf (0000-0002-1328-1871, LMU Klinikum), Katharina Merz (LMU Klinikum), Richard Musil (0000-0002-0792-8413, Ludwig-Maximilians-Universität München), Afton M Nelson (LMU Klinikum), Frank Padberg (0000-0001-7638-8310, Ludwig-Maximilians-Universität München), Sergi Papiol (0000-0001-9366-8728, LMU Klinikum), Oliver Pogarell (0000-0001-6455-4190, LMU Klinikum), Robert Perneczky (0000-0003-1981-7435, German Center for Neurodegenerative Diseases), Florian J Raabe (0000-0001-8538-0783, Ludwig-Maximilians-Universität München), Florian Raabe, Matthias A Reinhard (0000-0002-8374-5467, LMU Klinikum), Almut Richter (0000-0002-2846-8102, LMU Klinikum), Tobias Rüther (0000-0002-3717-6339, Ludwig-Maximilians-Universität München), Maria S Simon (0000-0002-3437-2772, Ludwig-Maximilians-Universität München), Andrea Schmitt (0000-0002-5426-4023, Ludwig-Maximilians-Universität München), Lenka Slapakova (Max Planck Institute of Psychiatry), Nanja Scheel (LMU Klinikum), Cornelius Schüle (0000-0002-4533-7139, Ludwig-Maximilians-Universität München), Elias Wagner (0000-0002-7147-6167, Ludwig-Maximilians-Universität München), Sven P Wichert (Ludwig-Maximilians-Universität München), Peter Zill (0000-0003-1068-5886, Ludwig-Maximilians-Universität München), Peter Falkai (0000-0003-2873-8667, LMU Klinikum), Thomas Schulze (0000-0001-6624-2975, SUNY Upstate Medical University), Thomas G Schulze, Eva C Schulte (0000-0003-3105-5672, LMU Klinikum)
Año2022
Volumen13
Páginas934640-934640
Fecha de publicación2022-07-22
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.934640
PMID35935431
OpenAlexW4286456975
IdiomaEN
Citas recibidas2
Referencias citadas28

Translational research on complex, multifactorial mental health disorders, such as bipolar disorder, major depressive disorder, schizophrenia, and substance use disorders requires databases with large-scale, harmonized, and integrated real-world and research data. The Munich Mental Health Biobank (MMHB) is a mental health-specific biobank that was established in 2019 to collect, store, connect, and supply such high-quality phenotypic data and biosamples from patients and study participants, including healthy controls, recruited at the Department of Psychiatry and Psychotherapy (DPP) and the Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital of the Ludwig-Maximilians-University (LMU), Munich, Germany. Participants are asked to complete a questionnaire that assesses sociodemographic and cross-diagnostic clinical information, provide blood samples, and grant access to their existing medical records. The generated data and biosamples are available to both academic and industry researchers. In this manuscript, we outline the workflow and infrastructure of the MMHB, describe the clinical characteristics and representativeness of the sample collected so far, and reveal future plans for expansion and application. As of 31 October 2021, the MMHB contains a continuously growing set of data from 578 patients and 104 healthy controls (46.37% women; median age, 38.31 years). The five most common mental health diagnoses in the MMHB are recurrent depressive disorder (38.78%; ICD-10: F33), alcohol-related disorders (19.88%; ICD-10: F10), schizophrenia (19.69%; ICD-10: F20), depressive episode (15.94%; ICD-10: F32), and personality disorders (13.78%; ICD-10: F60). Compared with the average patient treated at the recruiting hospitals, MMHB participants have significantly more mental health-related contacts, less severe symptoms, and a higher level of functioning. The distribution of diagnoses is also markedly different in MMHB participants compared with individuals who did not participate in the biobank. After establishing the necessary infrastructure and initiating recruitment, the major tasks for the next phase of the MMHB project are to improve the pace of participant enrollment, diversify the sociodemographic and diagnostic characteristics of the sample, and improve the utilization of real-world data generated in routine clinical practice

Biobank · Bioinformatics · Bipolar disorder · Major depressive disorder · Mental health · Mood · Personality · Personality disorders · Psychiatry · Schizophrenia (object-oriented programming · Clinical Psychology · Medicine · Mental Health Treatment and Access · Psychology · Schizophrenia research and treatment · Tryptophan and brain disorders

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Citas por año0,67
Intervalo de citas2023 - 2024 (2)
Altamente citadoNo

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