ArticleBMC pregnancy and childbirth2019
The effect of antenatal depression and antidepressant treatment on placental tissue: a protein-validated gene expression study.
Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 23 citations in OpenAlex.
- Sex differences in the risk of autistic-related traits in toddlers born to mothers with perinatal depression: Evidence from human cohort and mouse study.Molecular psychiatry · 2026Article
- Disruption of the Placenta-Brain Axis in Transgenic Mice Lacking Serotonin Transporter (SERT) in Trophoblast Cells.International journal of molecular sciences · 2025Article
- Effects of selective serotonin reuptake inhibitors on the placenta†.Biology of reproduction · 2025Review
- Unraveling the Triad: A Bioinformatics Analysis of the Interplay between Prenatal Depression, Inflammation, and the Gut Microbiota.CNS & neurological disorders drug targets · 2025Article
- Opioid analgesic and antidepressant use during pregnancy and the risk of spontaneous preterm birth: A nested case-control study.Paediatric and perinatal epidemiology · 2025Article
- Sex-Specific Transcriptomic Changes in the Villous Tissue of Placentas of Pregnant Women Using a Selective Serotonin Reuptake Inhibitor.ACS chemical neuroscience · 2024Article
- Differential gene expression in two consecutive pregnancies between same sex siblings and implications on maternal constraint.Scientific reports · 2024Article
- Cohort profile: the U-BIRTH study on peripartum depression and child development in Sweden.BMJ open · 2023Article
- Maternal serotonin: implications for the use of selective serotonin reuptake inhibitors during gestation†.Biology of reproduction · 2023Review
- Selective Serotonin Reuptake Inhibitor Use in Pregnancy and Protective Mechanisms in Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Development of the Placenta and Brain Are Affected by Selective Serotonin Reuptake Inhibitor Exposure During Critical Periods.Advances in experimental medicine and biology · 2023Review
- Perspective: Gestational Tryptophan Fluctuation Altering Neuroembryogenesis and Psychosocial Development.Cells · 2022Article
- Psychoneuroimmunology in the context of perinatal depression - Tools for improved clinical practice.Brain, behavior, & immunity - health · 2021Article
- Placental DNA methylation marks are associated with maternal depressive symptoms during early pregnancy.Neurobiology of stress · 2021Article
- DNA methylation in cord blood in association with prenatal depressive symptoms.Clinical epigenetics · 2021Article
- Maternal Distress and Offspring Neurodevelopment: Challenges and Opportunities for Pre-clinical Research Models.Frontiers in human neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundAntenatal depression affects 10-20% of pregnant women. Around 2-4% of European pregnant women use antidepressant treatment, most commonly selective serotonin reuptake inhibitors (SSRIs). Poor pregnancy outcomes, such as preterm birth and low birth weight, have been described in women with antenatal depression and in pregnant women on SSRI treatment. However, the effects of antenatal depression and antidepressant treatment on the placenta are largely unknown. The aim of this work was to compare placental gene and protein expression in healthy women, women with untreated antenatal depression and women on antidepressant treatment during pregnancy.
methodsPlacental samples from 47 controls, 25 depressed and 45 SSRI-treated women were analysed by means of qPCR using custom-designed TaqMan low-density arrays (TLDAs) for 44 genes previously known to be involved in the pathophysiology of depression, and expressed in the placenta. Moreover, placental protein expression was determined by means of immunohistochemistry in 37 healthy controls, 13 women with untreated depression and 21 women on antidepressant treatment. Statistical comparisons between groups were performed by one-way ANOVA or the Kruskal-Wallis test.
resultsNominally significant findings were noted for HTR1A and NPY2R, where women with untreated depression displayed higher gene expression than healthy controls (p < 0.05), whereas women on antidepressant treatment had similar expression as healthy controls. The protein expression analyses revealed higher expression of HTR1A in placentas from women on antidepressant treatment, than in placentas from healthy controls (p < 0.05).
conclusionThe differentially expressed HTR1A, both at the gene and the protein level that was revealed in this study, suggests the involvement of HTR1A in the effect of antenatal depression on biological mechanisms in the placenta. More research is needed to elucidate the role of depression and antidepressant treatment on the placenta, and, further, the effect on the fetus.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.