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Updated: Aug 6, 2026

Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants
Published on: June 13, 2021
Clinical phenotypes of epigenetic biomarker positive versus biomarker negative postpartum depression
Elizabeth S Wenzel1, Zachary Kaminsky2, Kayla Pennycuff1
1Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, VA, USA.
Postpartum depression (PPD) can be predicted by biomarkers of 3rd trimester methylation at two estrogen-responsive genes (TTC9B, HP1BP3), but the mechanism(s) by which these epigenetic changes lead to PPD are unknown. We investigated whether clinical characteristics (psychiatric histories, depression onset, stress/anxiety/trauma) differ between those with (BM+) and without (BM-) these biomarkers of PPD risk. Participants (N = 206) completed clinical diagnostic interviews and stress, anxiety, and trauma questionnaires at up to 7 visits during pregnancy and postpartum. Biomarker status was determined using 3rd trimester blood samples. Linear mixed effects models compared outcomes between biomarker groups (positive/negative). Mediation models assessed the average causal mediation effect of anxiety on the relationship between biomarker status and PPD. BM+ individuals were more likely to 1) have a prior history of generalized anxiety (X2 = 10.06, p = .003) and bipolar II disorder (X2 = 7.68, p = .01), 2) develop PPD (X2 = 3.97, p = .04), and 3) be depressed during both pregnancy and postpartum (X2 = 6.52, p = .02). BM+ individuals scored higher on the perinatal anxiety screening scale (PASS, p = .006), perceived stress scale (PSS, p = .001), and state-trait anxiety inventory (STAI)-trait subscale (p = .02). Anxiety outcomes on the PASS (95% CI: 0.01-0.10, p = .004), PSS (95% CI: 0.007-0.10, p = .03), and STAI-State (95% CI: -0.001-0.06, p = .06) mediated the relationship between biomarker status and PPD development. Findings suggest distinct clinical phenotypes between BM+ and BM- PPD, with BM+ individuals displaying significantly higher anxiety/stress, which may contribute to their higher risk of developing PPD. This presents an opportunity to investigate mechanisms in more homogenous groups based on biomarker status.
Postpartum depression (PPD) can be predicted by biomarkers of 3rd trimester methylation at two estrogen-responsive genes (TTC9B, HP1BP3), but the mechanism(s) by which these epigenetic changes lead to PPD are unknown. We investigated whether clinical characteristics (psychiatric histories, depression onset, stress/anxiety/trauma) differ between those with (BM+) and without (BM-) these biomarkers of PPD risk. Participants (N = 206) completed clinical diagnostic interviews and stress, anxiety, and trauma questionnaires at up to 7 visits during pregnancy and postpartum. Biomarker status was determined using 3rd trimester blood samples. Linear mixed effects models compared outcomes between biomarker groups (positive/negative). Mediation models assessed the average causal mediation effect of anxiety on the relationship between biomarker status and PPD. BM+ individuals were more likely to 1) have a prior history of generalized anxiety (X2 = 10.06, p = .003) and bipolar II disorder (X2 = 7.68, p = .01), 2) develop PPD (X2 = 3.97, p = .04), and 3) be depressed during both pregnancy and postpartum (X2 = 6.52, p = .02). BM+ individuals scored higher on the perinatal anxiety screening scale (PASS, p = .006), perceived stress scale (PSS, p = .001), and state-trait anxiety inventory (STAI)-trait subscale (p = .02). Anxiety outcomes on the PASS (95% CI: 0.01-0.10, p = .004), PSS (95% CI: 0.007-0.10, p = .03), and STAI-State (95% CI: -0.001-0.06, p = .06) mediated the relationship between biomarker status and PPD development. Findings suggest distinct clinical phenotypes between BM+ and BM- PPD, with BM+ individuals displaying significantly higher anxiety/stress, which may contribute to their higher risk of developing PPD. This presents an opportunity to investigate mechanisms in more homogenous groups based on biomarker status.

