Evidence map›Paper›PMID 35794104›Full record

Trial reportTranslational psychiatry2022

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

J Engelmann, L Zillich, J Frank, S Wagner, M Cetin, D P Herzog, M B Müller, A Tadic, J C Foo, L Sirignano and 10 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Genetic determinants of antidepressant and antipsychotic drug response.European archives of psychiatry and clinical neuroscience · 2025
    Article
  10. Epigenetic Echoes: Bridging Nature, Nurture, and Healing Across Generations.International journal of molecular sciences · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 1 country.

J Engelmann *Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany.
L Zillich *Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0001-7457-374X
J FrankDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0003-4867-9465
S WagnerDepartment of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany.
M CetinDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
D P HerzogDepartment of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany.
M B MüllerDepartment of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany.ORCID 0000-0002-0269-6131
A TadicDepartment of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany.
J C FooDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0003-1067-5725
L SirignanoDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0002-7989-5833
D F BrausDepartment of Psychiatry and Psychotherapy, Vitos Rheingau, Eltville, Germany.
N DahmenDepartment of Psychiatry, Psychosomatics and Psychotherapy, Burghof-Klinik, Rinteln, Germany.
S SordonDepartment of Psychiatry and Psychotherapy, Saarland University Hospital (UKS), Homburg, Germany.
M RiemenschneiderDepartment of Psychiatry and Psychotherapy, Saarland University Hospital (UKS), Homburg, Germany.
C SpaniolDepartment of Psychiatry and Psychotherapy, Saarland University Hospital (UKS), Homburg, Germany.
G GasparoniDepartment of Genetics, Saarland University, Campus A2 4, 66123, Saarbrücken, Germany.
M RietschelDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0002-5236-6149
S H WittDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0002-1571-1468
K LiebDepartment of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany.
F StreitDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. Fabian.Streit@zi-mannheim.de.ORCID 0000-0003-1080-4339
Heidelberg University · DEJohannes Gutenberg University Mainz · DESaarland University · DEVitos · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Diabetes Mellitus, Type 2Major Depressive DisorderAntidepressive AgentsDNAEpigenesis, GeneticEpigenomeGenome-Wide Association StudyHumansAntidepressive AgentsDNA

Identifiers

PMID35794104
PMCPMC9259740
OpenAlexW4284891643

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.