Validation of the predictive value of BDNF -87 methylation for antidepressant treatment success in severely depressed patients—a randomized rater-blinded trial
Hannah Benedictine Maier,
Alexandra Neyazi,
Gabriel L. Bundies,
Fiona Meyer-Bockenkamp,
Stefan Bleich,
Hansi Pathak,
Yvonne Ziert,
Barbara Neuhaus,
Franz-Josef Müller,
Iris Pollmann,
Thomas Illig,
Stefanie Mücke,
Meike Müller,
Brinja Kira Möller,
Steffen Oeltze-Jafra,
Tim Kacprowski,
Jan Voges,
Fabian Müntefering,
Josef Scheiber,
Andreas Reif,
Mareike Aichholzer,
Christine Reif-Leonhard,
Maren Schmidt-Kassow,
Ulrich Hegerl,
Hanna Reich,
Stefan Unterecker,
Heike Weber,
Jürgen Deckert,
Nicole Bössel-Debbert,
Hans J. Grabe,
Michael Lucht,
Helge Frieling
Affiliations
Hannah Benedictine Maier
Department of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School
Alexandra Neyazi
Department of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School
Gabriel L. Bundies
Department of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School
Fiona Meyer-Bockenkamp
Department of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School
Stefan Bleich
Department of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School
Hansi Pathak
Department of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School
Yvonne Ziert
Institute of Biostatistics, Hannover Medical School
Barbara Neuhaus
Center for Clinial Trials (ZKS), Hannover Medical School
Franz-Josef Müller
Department of Psychiatry and Psychotherapy, University Hospital Schleswig Holstein
Iris Pollmann
Department of Psychiatry and Psychotherapy, University Hospital Schleswig Holstein
Thomas Illig
Hannover Unified Biobank, Hannover Medical School
Stefanie Mücke
Hannover Unified Biobank, Hannover Medical School
Meike Müller
Department of Biomarker Analysis and Development, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM
Brinja Kira Möller
Department of Biomarker Analysis and Development, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM
Steffen Oeltze-Jafra
Peter L. Reichertz Institute for Medical Informatics, Hannover Medical School
Tim Kacprowski
Division Data Science in Biomedicine, Peter L. Reichertz Institute of Technische Universität Braunschweig and Hannover Medical School
Jan Voges
Institut Für Informationsverarbeitung, Leibniz University Hannover
Fabian Müntefering
Institut Für Informationsverarbeitung, Leibniz University Hannover
Josef Scheiber
BioVariance GmbH
Andreas Reif
Department for Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt - Goethe University
Mareike Aichholzer
Department for Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt - Goethe University
Christine Reif-Leonhard
Department for Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt - Goethe University
Maren Schmidt-Kassow
Department for Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt - Goethe University
Ulrich Hegerl
German Foundation for Depression and Suicide Prevention
Hanna Reich
Department for Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt - Goethe University
Stefan Unterecker
Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg (UKW)
Heike Weber
Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg (UKW)
Jürgen Deckert
Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg (UKW)
Nicole Bössel-Debbert
Department of Psychiatry and Psychotherapy, University Medicine Greifswald
Hans J. Grabe
Department of Psychiatry and Psychotherapy, University Medicine Greifswald
Michael Lucht
Department of Psychiatry and Psychotherapy, University Medicine Greifswald
Helge Frieling
Department of Psychiatry, Social Psychiatry, and Psychotherapy, Hannover Medical School
Abstract Background Brain-derived neurotrophic factor (BDNF) is essential for antidepressant treatment of major depressive disorder (MDD). Our repeated studies suggest that DNA methylation of a specific CpG site in the promoter region of exon IV of the BDNF gene (CpG -87) might be predictive of the efficacy of monoaminergic antidepressants such as selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), and others. This trial aims to evaluate whether knowing the biomarker is non-inferior to treatment-as-usual (TAU) regarding remission rates while exhibiting significantly fewer adverse events (AE). Methods The BDNF trial is a prospective, randomized, rater-blinded diagnostic study conducted at five university hospitals in Germany. The study’s main hypothesis is that {1} knowing the methylation status of CpG -87 is non-inferior to not knowing it with respect to the remission rate while it significantly reduces the AE rate in patients experiencing at least one AE. The baseline assessment will occur upon hospitalization and a follow-up assessment on day 49 (± 3). A telephone follow-up will be conducted on day 70 (± 3). A total of 256 patients will be recruited, and methylation will be evaluated in all participants. They will be randomly assigned to either the marker or the TAU group. In the marker group, the methylation results will be shared with both the patient and their treating physician. In the TAU group, neither the patients nor their treating physicians will receive the marker status. The primary endpoints include the rate of patients achieving remission on day 49 (± 3), defined as a score of ≤ 10 on the Hamilton Depression Rating Scale (HDRS-24), and the occurrence of AE. Ethics and dissemination The trial protocol has received approval from the Institutional Review Boards at the five participating universities. This trial holds significance in generating valuable data on a predictive biomarker for antidepressant treatment in patients with MDD. The findings will be shared with study participants, disseminated through professional society meetings, and published in peer-reviewed journals. Trial registration German Clinical Trial Register DRKS00032503. Registered on 17 August 2023.