Evidence map›Paper›PMID 41225566›Full record

ArticleBMC medical genomics2025

Epigenetic profiles of response to transcranial magnetic stimulation in treatment resistant depression.

Jan Dahrendorff, Kenneth Pages, Glenn Currier, Mainul Hasan Sarker, Zachary Graham, Adetola F Louis-Jacques, Getachew Dagne, Monica Uddin

Abstract read
In one paragraph

Article in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Jan DahrendorffGenomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, USA.
Kenneth PagesTMS of South Tampa, Tampa, USA.
Glenn CurrierDepartment of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, USA.
Mainul Hasan SarkerGenomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, USA.
Zachary GrahamGenomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, USA.
Adetola F Louis-JacquesDepartment of Obstetrics & Gynecology, College of Medicine, University of Florida, Gainesville, USA.
Getachew DagneCollege of Public Health, University of South Florida, Tampa, USA.
Monica UddinGenomics Program, Department of Global, Environmental, and Genomic Health Sciences, College of Public Health, University of South Florida, Tampa, USA. monica43@usf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranscranial magnetic stimulation (TMS) is an established treatment for major depressive disorder (MDD), yet response rates remain suboptimal and biomarkers predictive of treatment outcomes are currently lacking. Recently, DNA methylation (DNAm) has shown promise as an epigenetic predictor of antidepressant and electroconvulsive therapy treatment outcomes but no study to our knowledge has characterized DNAm profiles of treatment outcomes in the context of TMS. Here, we present the first genome-scale DNAm analysis of TMS outcomes in patients with treatment-resistant depression (TRD).

methodsPeripheral blood samples from 60 TRD patients were collected prior to a standard 36-session TMS course. DNAm was profiled using the Illumina EPIC array and filtered to retain only the top 5% most variable probes for subsequent analysis in relation to three treatment outcomes in an analytic sample of 46 patients: treatment response (> 50% PHQ-9 reduction), symptom trajectory (ΔPHQ-9), and remission (PHQ-9 < 5).

resultsMethylated CpG Set Enrichment Analysis (mCSEA) identified 67, 23, and 163 differentially methylated regions (DMRs) associated with treatment response, symptom trajectory, and remission, respectively (FDR < 0.05). Sixteen DMRs were common across all outcomes, implicating genes involved in neurodevelopment (HOXA4, HOXA5), immune signaling (RUNX1, OTUD5), and synaptic function (EFNB1, RAP2C). Targeted analysis of 84 CpGs in the BDNF promoter revealed 10 nominally significant CpGs that differentiated responders from non-responders. Several DMRs showed strong blood-brain methylation concordance (r > 0.5), supporting their potential relevance to central nervous system mechanisms.

conclusionsDespite the limited sample size, these findings suggest distinct epigenetic signatures prior to treatment that are associated with TMS outcomes, supporting the potential utility of DNAm as a biomarker for response stratification in TRD.

Indexed as

Depressive Disorder, Treatment-ResistantEpigenesis, GeneticTranscranial Magnetic StimulationAdultCpG IslandsDNA MethylationFemaleHumansMajor Depressive DisorderMaleMiddle AgedTreatment OutcomeDNA methylationTranscranial magnetic stimulationTreatment-resistant depression

Identifiers

PMID41225566
PMCPMC12613596

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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.