Evidence map›Paper›PMID 33907441›Full record

ArticlePharmacogenomics and personalized medicine2021

DNA Methylation of Fluoxetine Response in Child and Adolescence: Preliminary Results.

Albert Martinez-Pinteño, Natalia Rodriguez, Ana Blázquez, Maria Teresa Plana, Eva Varela, Patricia Gassó, Amalia Lafuente, Luisa Lazaro, Sergi Mas

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Albert Martinez-Pinteño *Department of Basic Clinal Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.
Natalia Rodriguez *Department of Basic Clinal Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.
Ana BlázquezDepartment of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0001-6797-6890
Maria Teresa PlanaDepartment of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain.
Eva VarelaDepartment of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain.
Patricia GassóDepartment of Basic Clinal Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.
Amalia LafuenteDepartment of Basic Clinal Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.
Luisa LazaroDepartment of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain.
Sergi MasDepartment of Basic Clinal Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.ORCID 0000-0003-3336-6298
Hospital Clínic de Barcelona · ESInstituto de Salud Carlos III · ESUniversitat de Barcelona · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe search for predictors of antidepressant response is gaining increasing attention, with epigenetic markers attracting a great deal of interest. We performed a genome-wide study assessing baseline differences in DNA methylation between Responders and Non-Responders. PATIENTS AND

methodsTwenty-two children and adolescents, receiving fluoxetine treatment for the first time, were classified as Responders or Non-Responders according to CGI-I score after 8 weeks of fluoxetine treatment. Genome-wide DNA methylation was profiled using the Illumina Infinium MethylationEPIC BeadChip Kit and analyzed using the Chip Analysis Methylation Pipeline (ChAMP).

resultsWe identified 21 CpG sites significantly (FDR<0.05) associated with fluoxetine response that showed meaningful differences (Δβ> ±0.2) in methylation level between Responders and Non-Responders. Two genes,

conclusionOur findings provide new insights into the molecular mechanisms underlying the complex phenotype of antidepressant response, indicating that methylation at specific genes could be a promising biomarker that needs further replication in large cohorts.

Indexed as

antidepressantsDNA methylationepigeneticsepigenomicspharmacogenetics

Identifiers

PMID33907441
PMCPMC8064712
OpenAlexW3153177254

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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.