ArticleUpsala journal of medical sciences2024
Personality vulnerability to depression, resilience, and depressive symptoms: epigenetic markers among perinatal women.
Article in Upsala journal of medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Synaptic remodeling and the female depression exposome: a mini-review of neuroendocrine, epigenetic, and social determinants.Frontiers in neuroscience · 2026Review
- Stress-coping strategies and interpersonal characteristics in ineffective maternal adaptation after childbirth: a pilot case-control study.Frontiers in psychology · 2026Article
- Association of DNA methylation-predicted GDF15 and frailty in older adults based on NHANES 1999-2002.Medicine · 2025Article
- Adverse Childhood Experiences, DNA Methylation, and Depressive Symptoms in Black Pregnant Women.Epigenomes · 2025Article
- Biomarkers of reproductive psychiatric disorders.The British journal of psychiatry : the journal of mental science · 2025Review
- TPPP3, a Good Prognostic Indicator, Suppresses Cell Proliferation and Migration in OSCC.International dental journal · 2025Article
- A method for predicting postpartum depression via an ensemble neural network model.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: We examined differences in DNA methylation patterns in the Methods: Results: Conclusions: This study identified associations between NR3C1 methylation and resilience as well as perinatal depressive symptoms. Interestingly, an interaction between early trauma and personality vulnerability was noted. Our findings on these specific DNA methylation markers may, if replicated and integrated into risk prediction models, contribute to early diagnosis of mothers at risk, targeted health promotion, and early interventions.
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Registered trials
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