Unknown

Dataset Information

0

DNA methylation biomarkers prospectively predict both antenatal and postpartum depression.


ABSTRACT: We sought to replicate and expand upon previous work demonstrating antenatal TTC9B and HP1BP3 gene DNA methylation is prospectively predictive of postpartum depression (PPD) with ~80% accuracy. In a preterm birth study from Emory, Illumina MethylEPIC microarray derived 1st but not 3rd trimester biomarker models predicted 3rd trimester Edinburgh Postnatal Depression Scale (EPDS) scores ? 13 with an AUC=0.8 (95% CI: 0.63-0.8). Bisulfite pyrosequencing derived biomarker methylation was generated using bisulfite pyrosequencing across all trimesters in a pregnancy cohort at UC Irvine and in 3rd trimester from an independent Johns Hopkins pregnancy cohort. A support vector machine model incorporating 3rd trimester EPDS scores, TTC9B, and HP1BP3 methylation status predicted 4 week to 6 week postpartum EPDS ? 13 from 3rd trimester blood in the UC Irvine cohort (AUC=0.78, 95% CI: 0.64-0.78) and from the Johns Hopkins cohort (AUC=0.84, 95% CI: 0.72-0.97), both independent of previous psychiatric diagnosis. Technical replicate predictions in a subset of the Johns Hopkins cohort exhibited strong cross experiment correlation. This study confirms the PPD prediction model has the potential to be developed into a clinical tool enabling the identification of pregnant women at future risk of PPD who may benefit from clinical intervention.

SUBMITTER: Payne JL 

PROVIDER: S-EPMC7702696 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications


We sought to replicate and expand upon previous work demonstrating antenatal TTC9B and HP1BP3 gene DNA methylation is prospectively predictive of postpartum depression (PPD) with ~80% accuracy. In a preterm birth study from Emory, Illumina MethylEPIC microarray derived 1st but not 3rd trimester biomarker models predicted 3rd trimester Edinburgh Postnatal Depression Scale (EPDS) scores ≥ 13 with an AUC=0.8 (95% CI: 0.63-0.8). Bisulfite pyrosequencing derived biomarker methylation was generated us  ...[more]

Similar Datasets

| S-EPMC7039252 | biostudies-literature
| S-EPMC7152506 | biostudies-literature
| S-EPMC7678804 | biostudies-literature
| S-EPMC5698862 | biostudies-other
2013-03-29 | E-GEOD-45603 | biostudies-arrayexpress
2013-03-29 | GSE45603 | GEO
2024-11-28 | GSE269241 | GEO
2013-05-24 | E-GEOD-44132 | biostudies-arrayexpress
2013-05-24 | GSE44132 | GEO
| S-EPMC10394808 | biostudies-literature