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Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank
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 (M...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353268/ https://www.ncbi.nlm.nih.gov/pubmed/35935431 http://dx.doi.org/10.3389/fpsyt.2022.934640 |
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author | Kalman, Janos L. Burkhardt, Gerrit Adorjan, Kristina Barton, Barbara B. De Jonge, Sylvia Eser-Valeri, Daniela Falter-Wagner, Christine M. Heilbronner, Urs Jobst, Andrea Keeser, Daniel Koenig, Christian Koller, Gabi Koutsouleris, Nikolaos Kurz, Carolin Landgraf, Dominic Merz, Katharina Musil, Richard Nelson, Afton M. Padberg, Frank Papiol, Sergi Pogarell, Oliver Perneczky, Robert Raabe, Florian Reinhard, Matthias A. Richter, Almut Rüther, Tobias Simon, Maria Susanne Schmitt, Andrea Slapakova, Lenka Scheel, Nanja Schüle, Cornelius Wagner, Elias Wichert, Sven P. Zill, Peter Falkai, Peter Schulze, Thomas G. Schulte, Eva Christina |
author_facet | Kalman, Janos L. Burkhardt, Gerrit Adorjan, Kristina Barton, Barbara B. De Jonge, Sylvia Eser-Valeri, Daniela Falter-Wagner, Christine M. Heilbronner, Urs Jobst, Andrea Keeser, Daniel Koenig, Christian Koller, Gabi Koutsouleris, Nikolaos Kurz, Carolin Landgraf, Dominic Merz, Katharina Musil, Richard Nelson, Afton M. Padberg, Frank Papiol, Sergi Pogarell, Oliver Perneczky, Robert Raabe, Florian Reinhard, Matthias A. Richter, Almut Rüther, Tobias Simon, Maria Susanne Schmitt, Andrea Slapakova, Lenka Scheel, Nanja Schüle, Cornelius Wagner, Elias Wichert, Sven P. Zill, Peter Falkai, Peter Schulze, Thomas G. Schulte, Eva Christina |
author_sort | Kalman, Janos L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9353268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93532682022-08-06 Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank Kalman, Janos L. Burkhardt, Gerrit Adorjan, Kristina Barton, Barbara B. De Jonge, Sylvia Eser-Valeri, Daniela Falter-Wagner, Christine M. Heilbronner, Urs Jobst, Andrea Keeser, Daniel Koenig, Christian Koller, Gabi Koutsouleris, Nikolaos Kurz, Carolin Landgraf, Dominic Merz, Katharina Musil, Richard Nelson, Afton M. Padberg, Frank Papiol, Sergi Pogarell, Oliver Perneczky, Robert Raabe, Florian Reinhard, Matthias A. Richter, Almut Rüther, Tobias Simon, Maria Susanne Schmitt, Andrea Slapakova, Lenka Scheel, Nanja Schüle, Cornelius Wagner, Elias Wichert, Sven P. Zill, Peter Falkai, Peter Schulze, Thomas G. Schulte, Eva Christina Front Psychiatry Psychiatry 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. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9353268/ /pubmed/35935431 http://dx.doi.org/10.3389/fpsyt.2022.934640 Text en Copyright © 2022 Kalman, Burkhardt, Adorjan, Barton, De Jonge, Eser-Valeri, Falter-Wagner, Heilbronner, Jobst, Keeser, Koenig, Koller, Koutsouleris, Kurz, Landgraf, Merz, Musil, Nelson, Padberg, Papiol, Pogarell, Perneczky, Raabe, Reinhard, Richter, Rüther, Simon, Schmitt, Slapakova, Scheel, Schüle, Wagner, Wichert, Zill, Falkai, Schulze and Schulte. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Kalman, Janos L. Burkhardt, Gerrit Adorjan, Kristina Barton, Barbara B. De Jonge, Sylvia Eser-Valeri, Daniela Falter-Wagner, Christine M. Heilbronner, Urs Jobst, Andrea Keeser, Daniel Koenig, Christian Koller, Gabi Koutsouleris, Nikolaos Kurz, Carolin Landgraf, Dominic Merz, Katharina Musil, Richard Nelson, Afton M. Padberg, Frank Papiol, Sergi Pogarell, Oliver Perneczky, Robert Raabe, Florian Reinhard, Matthias A. Richter, Almut Rüther, Tobias Simon, Maria Susanne Schmitt, Andrea Slapakova, Lenka Scheel, Nanja Schüle, Cornelius Wagner, Elias Wichert, Sven P. Zill, Peter Falkai, Peter Schulze, Thomas G. Schulte, Eva Christina Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank |
title | Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank |
title_full | Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank |
title_fullStr | Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank |
title_full_unstemmed | Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank |
title_short | Biobanking in everyday clinical practice in psychiatry—The Munich Mental Health Biobank |
title_sort | biobanking in everyday clinical practice in psychiatry—the munich mental health biobank |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353268/ https://www.ncbi.nlm.nih.gov/pubmed/35935431 http://dx.doi.org/10.3389/fpsyt.2022.934640 |
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