Evidence map›Paper›PMID 27610205›Full record

SynthesisClinical epigenetics2016

Antidepressant medication during pregnancy and epigenetic changes in umbilical cord blood: a systematic review.

Anne-Cathrine F Viuff, Lars Henning Pedersen, Kasper Kyng, Nicklas Heine Staunstrup, Anders Børglum, Tine Brink Henriksen

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Clinical epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 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

6 authors at 2 institutions in 1 country.

Anne-Cathrine F ViuffPerinatal Epidemiology Research Unit, Pediatric Department, Aarhus University Hospital Skejby, Aarhus, Denmark.
Lars Henning PedersenDepartment of Obstetrics and Gynecology, Aarhus University Hospital Skejby, Aarhus, Denmark.
Kasper KyngPerinatal Epidemiology Research Unit, Pediatric Department, Aarhus University Hospital Skejby, Aarhus, Denmark.
Nicklas Heine StaunstrupThe Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Risskov, Denmark ; Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, University of Aarhus, Aarhus C, 8000 Denmark ; Translational Neuropsychiatric Unit, Aarhus University Hospital, Risskov, 8240 Denmark.
Anders BørglumThe Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Risskov, Denmark ; Department of Biomedicine and Centre for Integrative Sequencing, iSEQ, University of Aarhus, Aarhus C, 8000 Denmark.
Tine Brink HenriksenPerinatal Epidemiology Research Unit, Pediatric Department, Aarhus University Hospital Skejby, Aarhus, Denmark.
Aarhus University Hospital · DKLundbeck Foundation · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEpigenetic mechanisms are important for the regulation of gene expression and differentiation in the fetus and the newborn child. Symptoms of maternal depression and antidepressant use affects up to 20 % of pregnant women, and may lead to epigenetic changes with life-long impact on child health. The aim of this review is to investigate whether there is an association between exposure to maternal antidepressants during pregnancy and epigenetic changes in the newborn. MATERIAL AND

methodsSystematic literature searches were performed in MEDLINE and EMBASE combining MeSH terms covering epigenetic changes, use of antidepressant medication, pregnancy and newborns. A keyword search was also performed. We included studies on pregnant women and their children where there was a history of maternal depressed mood or anxiety, a reported use of antidepressant medication, and measurements of epigenetic changes in umbilical cord blood. Studies using genome-wide or candidate-based epigenetic analyses were included. Citations and references from the included articles were investigated to locate further relevant articles. The completeness of reporting as well as the risk of bias and confounding was assessed.

resultsSix studies were included. They all investigated methylation changes. Genome-wide methylation changes were examined in 184 children and methylation status in specific genes was examined in 96 children exposed to antidepressant medication. Three of the studies found an association between use of antidepressant medication during pregnancy and methylation status at various CpG sites measured in cord blood of the newborn. One of these studies found an association in African-Americans, but not Caucasians. The remaining three studies found associations between maternal mood and epigenetic changes in umbilical cord blood but no association between epigenetic changes and maternal use of antidepressant medication.

conclusionThe included studies have not established a clear association between use of antidepressant medication during pregnancy and epigenetic changes in the cord blood. Future studies using newer, more wide-ranging epigenetic methods could discover possible new differentially methylated sites. Larger sample sizes and good validity of exposures are warranted in order to adjust for level of maternal depression, other maternal illness, maternal use of other types of medication, and maternal ethnicity. PROSPERO registration number: CRD42015026575.

Indexed as

Antidepressive AgentsDepressionDNA MethylationEpigenesis, GeneticFemaleFetal BloodHumansMaternal ExposurePregnancyPregnancy ComplicationsAntidepressive AgentsAntidepressantsDepressionDNA methylationPrenatal exposuresReviewSSRI

Identifiers

PMID27610205
PMCPMC5015265
OpenAlexW2511775216

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.