Seeing the Future: Epigenetic Biomarkers of Postpartum Depression

Kaminsky, Zachary; Payne, Jennifer L.

doi:10.1038/npp.2013.238

Cited by 12 publications

(6 citation statements)

References 6 publications

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“…Epigenetic changes have also been associated with neuroinflammatory changes [227]. Specific epigenetic changes have been demonstrated in women who later develop postpartum depression at the HP1BP3 gene [228], which has also been shown to be sensitive to estradiol regulation [110] and critical to normal maternal care [111]. Therefore, there is a bidirectional relationship between epigenetic, neuroendocrine and neuroinflammatory changes which may collectively influence mood during the postpartum period (Figures 1, 3, 4, 5).…”

Section: Discussionmentioning

confidence: 99%

Pathophysiological mechanisms implicated in postpartum depression

Payne

Maguire

2019

Frontiers in Neuroendocrinology

257

145

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This review aims to summarize the diverse proposed pathophysiological mechanisms contributing to postpartum depression, highlighting both clinical and basic science research findings. The risk factors for developing postpartum depression are discussed, which may provide insight into potential neurobiological underpinnings. The evidence supporting a role for neuroendocrine changes, neuroinflammation, neurotransmitter alterations, circuit dysfunction, and the involvement of genetics and epigenetics in the pathophysiology of postpartum depression are discussed. This review integrates clinical and preclinical findings and highlights the diversity in the patient population, in which numerous pathophysiological changes may contribute to this disorder. Finally, we attempt to integrate these findings to understand how diverse neurobiological changes may contribute to a common pathological phenotype. This review is meant to serve as a comprehensive resource reviewing the proposed pathophysiological mechanisms underlying postpartum depression.

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Section: Discussionmentioning

confidence: 99%

Pathophysiological mechanisms implicated in postpartum depression

Payne

Maguire

2019

Frontiers in Neuroendocrinology

257

145

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“…65 Furthermore, different etiologies may be present within MDP depending on whether symptoms onset prenatally or in the postpartum. 66 At least one group has investigated the relationship between risk for postpartum depression and perturbed prenatal DNAm patterns in proximity to genomic regions differentially methylated by estrogen. 67 For all of its strengths, this study was not without limitations.…”

Section: Discussionmentioning

confidence: 99%

DNA Methylation Associated with Postpartum Depressive Symptoms Overlaps Findings from a Genome-wide Association Meta-Analysis of Depression

Lapato

Roberson‐Nay

Kirkpatrick

et al. 2019

Preprint

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Background: Perinatal depressive symptoms have been linked to adverse maternal and infant health outcomes. The etiology associated with perinatal depressive psychopathology is poorly understood, but accumulating evidence suggests that understanding inter-individual differences in DNA methylation (DNAm) patterning may provide insight regarding the genomic regions salient to the risk liability of perinatal depressive psychopathology.Results: Genome-wide DNAm was measured in maternal peripheral blood using the Infinium MethylationEPIC microarray. Ninety-two participants (46% African-American) had DNAm samples that passed all quality control metrics, and all participants were within seven months of delivery. Linear models were constructed to identify differentially methylated sites and regions, and permutation testing was utilized to assess significance. Differentially methylated regions (DMRs) were defined as genomic regions of consistent DNAm change with at least two probes within 1kb of each other. Maternal age, current smoking status, estimated cell-type proportions, ancestry-relevant principal components, days since delivery, and chip position served as covariates to adjust for technical and biological factors. Current postpartum depressive symptoms were measured using the Edinburgh Postnatal Depression Scale. Ninety-eight DMRs were significant (False Discovery Rate < 5%) and overlapped 92 genes. Synaptic signaling, neural development, and platelet formation were the most represented biological processes in gene set analysis, and comparison to the 44 loci discovered in the latest Psychiatric Genomics Consortium meta-analysis of depression revealed 3 overlapping regions and significant enrichment (p<0.03).Conclusions: Many of the genes identified in this analysis corroborate previous allelic, transcriptomic, and DNAm association results related to depressive phenotypes. Future work should integrate data from multi-omic platforms to understand the functional relevance of these DMRs and refine DNAm association results by limiting phenotypic heterogeneity and clarifying if DNAm differences relate to the timing of onset, severity, duration of perinatal mental health outcomes of the current pregnancy or to previous history of depressive psychopathology.

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“…Recent studies have implicated epigenetic processes in the pathophysiology of MDD ( 108 ). Guintivano et al ( 109 ) and Kaminsky and Payne ( 110 ) observed enhanced sensitivity to estrogen-based DNA methylation reprogramming in those at risk for PPD and identified two potential biomarker loci at the HP1BP3 and TTC9B genes that predicted PPD. Using blood drawn during pregnancy, DNA methylation at two genomic locations with an area under the receiver operator characteristic (ROC) curve [area under the curve (AUC)] of 0.87 in antenatally euthymic women and 0.12 in a replication sample of antenatally depressed women, along with complete blood count data, produced an AUC of 0.96 across both prepartum depressed and euthymic women ( 109 ).…”

Section: Biological Predictors and Biomarkers For Ppdmentioning

confidence: 99%

Postpartum Depression: Current Status and Possible Identification Using Biomarkers

Yu¹,

Hong²,

Chen

et al. 2021

Front. Psychiatry

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Postpartum depression (PPD) is a serious health issue that can affect about 15% of the female population within after giving birth. It often conveys significant negative consequences to the offsprings. The symptoms and risk factors are somewhat similar to those found in non-postpartum depression. The main difference resides in the fact that PPD is triggered by postpartum specific factors, including especially biological changes in the hormone levels. Patients are usually diagnosed using a questionnaire onsite or in a clinic. Treatment of PPD often involves psychotherapy and antidepressant medications. In recent years, there have been more researches on the identification of biological markers for PPD. In this review, we will focus on the current research status of PPD, with an emphasis on the recent progress made on the identification of PPD biomarkers.

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Seeing the Future: Epigenetic Biomarkers of Postpartum Depression

Cited by 12 publications

References 6 publications

Pathophysiological mechanisms implicated in postpartum depression

Pathophysiological mechanisms implicated in postpartum depression

DNA Methylation Associated with Postpartum Depressive Symptoms Overlaps Findings from a Genome-wide Association Meta-Analysis of Depression

Postpartum Depression: Current Status and Possible Identification Using Biomarkers

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