Literature DB >> 30981737

DNA methylation studies of depression with onset in the peripartum: A critical systematic review.

Sarah Ellen Braun1, Dana Lapato2, Roy E Brown3, Eva Lancaster2, Timothy P York4, Ananda B Amstadter5, Patricia A Kinser6.   

Abstract

OBJECTIVE: Major depression with peripartum onset (MDP) has been associated with multiple adverse offspring health outcomes. The biological mechanisms underlying this relationship remain unclear, but DNA methylation (DNAm) represents a plausible mechanism for mediating MDP exposures and changes in offspring development, behavior, and health. Advances in DNAm research necessitate reevaluating the MDP-DNAm literature to determine how well past studies conform with current best practices.
METHOD: Five databases were searched to identify studies of prenatal-onset MDP and DNAm. Quality scores were assigned to each article independently by two raters using a novel scale specific for MDP-DNAm research.
RESULTS: Nineteen studies met inclusion criteria. Quality scores ranged from 10 to 17 out of 24 points (M = 12.8; SD = 1.9), with higher scores indicating increased study rigor. Poor covariate reporting was the most significant contributor to lower scores.
CONCLUSION: No longitudinal MDP-DNAm studies exist. Earlier MDP-DNAm studies should be interpreted with caution, and future research must commit to sharing methodology and data to facilitate cross-study comparisons and maximize dataset utility.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  DNA methylation; Epigenetics; Major depression; Pregnancy; Prenatal maternal depression; Reproducibility

Mesh:

Year:  2019        PMID: 30981737      PMCID: PMC6556411          DOI: 10.1016/j.neubiorev.2019.04.005

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  100 in total

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Journal:  J Neurol Neurosurg Psychiatry       Date:  1960-02       Impact factor: 10.154

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Authors:  Jerry Guintivano; Zachary A Kaminsky
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3.  Interventions to Prevent Perinatal Depression: Evidence Report and Systematic Review for the US Preventive Services Task Force.

Authors:  Elizabeth O'Connor; Caitlyn A Senger; Michelle L Henninger; Erin Coppola; Bradley N Gaynes
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4.  Perinatal Maternal Depressive Symptoms as an Issue for Population Health.

Authors:  Michael J Meaney
Journal:  Am J Psychiatry       Date:  2018-08-02       Impact factor: 18.112

5.  The Impact of Perinatal Depression on Children's Social-Emotional Development: A Longitudinal Study.

Authors:  Carolin Junge; Susan Garthus-Niegel; Kari Slinning; Carolin Polte; Tone Breines Simonsen; Malin Eberhard-Gran
Journal:  Matern Child Health J       Date:  2017-03

Review 6.  Understanding the epigenetic basis of sex differences in depression.

Authors:  Georgia E Hodes; Deena M Walker; Benoit Labonté; Eric J Nestler; Scott J Russo
Journal:  J Neurosci Res       Date:  2017-01-02       Impact factor: 4.164

7.  Repeated Low-Grade Infections Predict Antidepressant-Resistant Depression: A Nationwide Population-Based Cohort Study.

Authors:  Jia-Shyun Jeng; Cheng-Ta Li; Mu-Hong Chen; Wei-Chen Lin; Ya-Mei Bai; Shih-Jen Tsai; Tung-Ping Su; Wen-Hang Chang; Yen-Jen Sung
Journal:  J Clin Psychiatry       Date:  2018 Jan/Feb       Impact factor: 4.384

8.  Prenatal exposure to maternal depression, neonatal methylation of human glucocorticoid receptor gene (NR3C1) and infant cortisol stress responses.

Authors:  Tim F Oberlander; Joanne Weinberg; Michael Papsdorf; Ruth Grunau; Shaila Misri; Angela M Devlin
Journal:  Epigenetics       Date:  2008 Mar-Apr       Impact factor: 4.528

Review 9.  Monocyte trafficking to the brain with stress and inflammation: a novel axis of immune-to-brain communication that influences mood and behavior.

Authors:  Eric S Wohleb; Daniel B McKim; John F Sheridan; Jonathan P Godbout
Journal:  Front Neurosci       Date:  2015-01-21       Impact factor: 4.677

10.  Methylation quantitative trait loci (meQTLs) are consistently detected across ancestry, developmental stage, and tissue type.

Authors:  Alicia K Smith; Varun Kilaru; Mehmet Kocak; Lynn M Almli; Kristina B Mercer; Kerry J Ressler; Frances A Tylavsky; Karen N Conneely
Journal:  BMC Genomics       Date:  2014-02-21       Impact factor: 3.969

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