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Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial

Although the currently available antidepressants are well established in the treatment of the major depressive disorder (MDD), there is strong variability in the response of individual patients. Reliable predictors to guide treatment decisions before or in an early stage of treatment are needed. DNA...

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Autores principales: Engelmann, J., Zillich, L., Frank, J., Wagner, S., Cetin, M., Herzog, D. P., Müller, M. B., Tadic, A., Foo, J. C., Sirignano, L., Braus, D. F., Dahmen, N., Sordon, S., Riemenschneider, M., Spaniol, C., Gasparoni, G., Rietschel, M., Witt, S. H., Lieb, K., Streit, F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259740/
https://www.ncbi.nlm.nih.gov/pubmed/35794104
http://dx.doi.org/10.1038/s41398-022-02032-7
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author Engelmann, J.
Zillich, L.
Frank, J.
Wagner, S.
Cetin, M.
Herzog, D. P.
Müller, M. B.
Tadic, A.
Foo, J. C.
Sirignano, L.
Braus, D. F.
Dahmen, N.
Sordon, S.
Riemenschneider, M.
Spaniol, C.
Gasparoni, G.
Rietschel, M.
Witt, S. H.
Lieb, K.
Streit, F.
author_facet Engelmann, J.
Zillich, L.
Frank, J.
Wagner, S.
Cetin, M.
Herzog, D. P.
Müller, M. B.
Tadic, A.
Foo, J. C.
Sirignano, L.
Braus, D. F.
Dahmen, N.
Sordon, S.
Riemenschneider, M.
Spaniol, C.
Gasparoni, G.
Rietschel, M.
Witt, S. H.
Lieb, K.
Streit, F.
author_sort Engelmann, J.
collection PubMed
description Although the currently available antidepressants are well established in the treatment of the major depressive disorder (MDD), there is strong variability in the response of individual patients. Reliable predictors to guide treatment decisions before or in an early stage of treatment are needed. DNA-methylation has been proven a useful biomarker in different clinical conditions, but its importance for mechanisms of antidepressant response has not yet been determined. 80 MDD patients were selected out of >500 participants from the Early Medication Change (EMC) cohort with available genetic material based on their antidepressant response after four weeks and stratified into clear responders and age- and sex-matched non-responders (N = 40, each). Early improvement after two weeks was analyzed as a secondary outcome. DNA-methylation was determined using the Illumina EPIC BeadChip. Epigenome-wide association studies were performed and differentially methylated regions (DMRs) identified using the comb-p algorithm. Enrichment was tested for hallmark gene-sets and in genome-wide association studies of depression and antidepressant response. No epigenome-wide significant differentially methylated positions were found for treatment response or early improvement. Twenty DMRs were associated with response; the strongest in an enhancer region in SORBS2, which has been related to cardiovascular diseases and type II diabetes. Another DMR was located in CYP2C18, a gene previously linked to antidepressant response. Results pointed towards differential methylation in genes associated with cardiac function, neuroticism, and depression. Linking differential methylation to antidepressant treatment response is an emerging topic and represents a step towards personalized medicine, potentially facilitating the prediction of patients’ response before treatment.
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spelling pubmed-92597402022-07-08 Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial Engelmann, J. Zillich, L. Frank, J. Wagner, S. Cetin, M. Herzog, D. P. Müller, M. B. Tadic, A. Foo, J. C. Sirignano, L. Braus, D. F. Dahmen, N. Sordon, S. Riemenschneider, M. Spaniol, C. Gasparoni, G. Rietschel, M. Witt, S. H. Lieb, K. Streit, F. Transl Psychiatry Article Although the currently available antidepressants are well established in the treatment of the major depressive disorder (MDD), there is strong variability in the response of individual patients. Reliable predictors to guide treatment decisions before or in an early stage of treatment are needed. DNA-methylation has been proven a useful biomarker in different clinical conditions, but its importance for mechanisms of antidepressant response has not yet been determined. 80 MDD patients were selected out of >500 participants from the Early Medication Change (EMC) cohort with available genetic material based on their antidepressant response after four weeks and stratified into clear responders and age- and sex-matched non-responders (N = 40, each). Early improvement after two weeks was analyzed as a secondary outcome. DNA-methylation was determined using the Illumina EPIC BeadChip. Epigenome-wide association studies were performed and differentially methylated regions (DMRs) identified using the comb-p algorithm. Enrichment was tested for hallmark gene-sets and in genome-wide association studies of depression and antidepressant response. No epigenome-wide significant differentially methylated positions were found for treatment response or early improvement. Twenty DMRs were associated with response; the strongest in an enhancer region in SORBS2, which has been related to cardiovascular diseases and type II diabetes. Another DMR was located in CYP2C18, a gene previously linked to antidepressant response. Results pointed towards differential methylation in genes associated with cardiac function, neuroticism, and depression. Linking differential methylation to antidepressant treatment response is an emerging topic and represents a step towards personalized medicine, potentially facilitating the prediction of patients’ response before treatment. Nature Publishing Group UK 2022-07-07 /pmc/articles/PMC9259740/ /pubmed/35794104 http://dx.doi.org/10.1038/s41398-022-02032-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Engelmann, J.
Zillich, L.
Frank, J.
Wagner, S.
Cetin, M.
Herzog, D. P.
Müller, M. B.
Tadic, A.
Foo, J. C.
Sirignano, L.
Braus, D. F.
Dahmen, N.
Sordon, S.
Riemenschneider, M.
Spaniol, C.
Gasparoni, G.
Rietschel, M.
Witt, S. H.
Lieb, K.
Streit, F.
Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial
title Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial
title_full Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial
title_fullStr Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial
title_full_unstemmed Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial
title_short Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial
title_sort epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the emc trial
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259740/
https://www.ncbi.nlm.nih.gov/pubmed/35794104
http://dx.doi.org/10.1038/s41398-022-02032-7
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