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  Multiomics and blood-based biomarkers of electroconvulsive therapy in severe and treatment-resistant depression: study protocol of the DetECT study

von Muecke-Heim, I.-A., Pape, J. C., Grandi, N. C., Erhardt, A., Deussing, J. M., & Binder, E. B. (2023). Multiomics and blood-based biomarkers of electroconvulsive therapy in severe and treatment-resistant depression: study protocol of the DetECT study. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE. doi:10.1007/s00406-023-01647-1.

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von Muecke-Heim, Iven-Alex1, 2, Author           
Pape, Julius C.1, Author           
Grandi, Norma C.3, Author           
Erhardt, Angelika3, Author           
Deussing, Jan M.2, Author           
Binder, Elisabeth B.1, Author           
Affiliations:
1Dept. Genes and Environment, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035295              
2RG Molecular Neurogenetics, Max Planck Institute of Psychiatry, Max Planck Society, ou_2040293              
3Max Planck Institute of Psychiatry, Max Planck Society, ou_1607137              

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 Abstract: Electroconvulsive therapy (ECT) is commonly used to treat treatment-resistant depression (TRD). However, our knowledge of the ECT-induced molecular mechanisms causing clinical improvement is limited. To address this issue, we developed the single-center, prospective observational DetECT study ("Multimodal Biomarkers of ECT in TRD"; registered 18/07/2022, www.clinicalTrials.gov, NCT05463562). Its objective is to identify molecular, psychological, socioeconomic, and clinical biomarkers of ECT response in TRD. We aim to recruit n = 134 patients in 3 years. Over the course of 12 biweekly ECT sessions (& PLUSMN; 7 weeks), participant blood is collected before and 1 h after the first and seventh ECT and within 1 week after the twelfth session. In pilot subjects (first n = 10), additional blood draws are performed 3 and 6 h after the first ECT session to determine the optimal post-ECT blood draw interval. In blood samples, multiomic analyses are performed focusing on genotyping, epigenetics, RNA sequencing, neuron-derived exosomes, purines, and immunometabolics. To determine clinical response and side effects, participants are asked weekly to complete four standardized self-rating questionnaires on depressive and somatic symptoms. Additionally, clinician ratings are obtained three times (weeks 1, 4, and 7) within structured clinical interviews. Medical and sociodemographic data are extracted from patient records. The multimodal data collected are used to perform the conventional statistics as well as mixed linear modeling to identify clusters that link biobehavioural measures to ECT response. The DetECT study can provide important insight into the complex mechanisms of ECT in TRD and a step toward biologically informed and data-driven-based ECT biomarkers.

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 Dates: 2023
 Publication Status: Published online
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Title: EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 0940-1334