Evidence map›Paper›PMID 33125470›Full record

Observational studyThe international journal of neuropsychopharmacology2021

Serotonin Transporter Gene Promoter Hypomethylation as a Predictor of Antidepressant Treatment Response in Major Depression: A Replication Study.

M A Schiele, P Zwanzger, K Schwarte, V Arolt, B T Baune, K Domschke

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in The international journal of neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Antidepressant Augmentation of Antipsychotic Treatment in Schizophrenia: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  4. Review
  5. Mechanisms of Baishao () and Gancao () on major depressive disorder: network pharmacology and o validation.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025
    Article
  6. Article
  7. Review
  8. Pharmaco-Multiomics: A New Frontier in Precision Psychiatry.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Precision Medicine in Antidepressants Treatment.Handbook of experimental pharmacology · 2023
    Review
  19. Review
  20. Article
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

6 authors at 3 institutions in 2 countries.

M A SchieleDepartment of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
P Zwanzgerkbo-Inn-Salzach-Klinikum, Wasserburg am Inn, Germany.
K SchwarteDepartment of Psychiatry and Psychotherapy, University of Münster, Münster, Germany.
V AroltInstitute of Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Münster, Münster, Germany.
B T BauneDepartment of Psychiatry and Psychotherapy, University of Münster, Münster, Germany.
K DomschkeDepartment of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
University of Münster · DEUniversity of Freiburg · DEInn-Salzach-Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe serotonin transporter gene (SLC6A4; 5-HTT; SERT) is considered a prime candidate in pharmacogenetic research in major depressive disorder (MDD). Besides genetic variation, recent advances have spotlighted the involvement of epigenetic mechanisms such as DNA methylation in predicting antidepressant treatment response in "pharmaco-epigenetic" approaches. In MDD, lower SLC6A4 promoter methylation has been suggested to predict impaired response to serotonergic antidepressants. The present study sought to replicate and extend this finding in a large, independent sample of MDD patients.

methodsThe sample comprised n = 236 Caucasian patients with MDD receiving antidepressant medication in a naturalistic treatment setting. Functional DNA methylation of 9 CpG sites located in the SLC6A4 promoter region was analyzed via direct sequencing of sodium bisulfite- treated DNA extracted from blood cells. Patients were assessed over the course of a 6-week in-patient treatment using the Hamilton Depression Scale (HAM-D).

resultsResults confirm relative SLC6A4 hypomethylation to predict impaired antidepressant response both dimensionally and categorically (HAM-D reductions < 50%) and to furthermore be indicative of nonremission (HAM-D > 7). This also held true in a homogenous subgroup of patients continuously treated with selective serotonin reuptake inhibitors or serotonin/noradrenaline reuptake inhibitors (n = 110).

conclusionsImpaired response to serotonergic antidepressants via SLC6A4 hypomethylation may be conveyed by increased gene expression and consequently decreased serotonin availability, which may counteract the effects of serotonergic antidepressants. The present results could in the future inform clinical decision-making towards a more personalized treatment of MDD.

Indexed as

AdultAgedAntidepressive AgentsCpG IslandsDNA MethylationFemaleHumansMajor Depressive DisorderMaleMiddle AgedPharmacogeneticsPharmacogenomic TestingPromoter Regions, GeneticSerotonin Plasma Membrane Transport ProteinsAntidepressive AgentsSerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, human5-HTDNA methylationepigeneticsmood disordersprecision medicine

Identifiers

PMID33125470
PMCPMC7968622
OpenAlexW3096783543

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.