Early predictive biomarkers for postpartum depression point to a role for estrogen receptor signaling

Mehta, D., Newport, D. J., Frishman, G., Kraus, L., Rex-Haffner, M., Ritchie, J. C., Lori, A., Knight, B. T., Stagnaro, E., Ruepp, A., Stowe, Z. N. and Binder, E. B. (2014) Early predictive biomarkers for postpartum depression point to a role for estrogen receptor signaling. Psychological Medicine, 44 11: 2309-2322. doi:10.1017/S0033291713003231

Author Mehta, D.
Newport, D. J.
Frishman, G.
Kraus, L.
Rex-Haffner, M.
Ritchie, J. C.
Lori, A.
Knight, B. T.
Stagnaro, E.
Ruepp, A.
Stowe, Z. N.
Binder, E. B.
Title Early predictive biomarkers for postpartum depression point to a role for estrogen receptor signaling
Journal name Psychological Medicine   Check publisher's open access policy
ISSN 0033-2917
Publication date 2014
Year available 2014
Sub-type Article (original research)
DOI 10.1017/S0033291713003231
Open Access Status
Volume 44
Issue 11
Start page 2309
End page 2322
Total pages 14
Place of publication Cambridge, United Kingdom
Publisher Cambridge University Press
Collection year 2015
Language eng
Abstract Background Postpartum depression (PPD) affects approximately 13% of women and has a negative impact on mother and infant, hence reliable biological tests for early detection of PPD are essential. We aimed to identify robust predictive biomarkers for PPD using peripheral blood gene expression profiles in a hypothesis-free genome-wide study in a high-risk, longitudinal cohort. Method We performed a genome-wide association study in a longitudinal discovery cohort comprising 62 women with psychopathology. Gene expression and hormones were measured in the first and third pregnancy trimesters and early postpartum (201 samples). The replication cohort comprised 24 women with third pregnancy trimester gene expression measures. Gene expression was measured on Illumina-Human HT12 v4 microarrays. Plasma estradiol and estriol were measured. Statistical analysis was performed in R. Results We identified 116 transcripts differentially expressed between the PPD and euthymic women during the third trimester that allowed prediction of PPD with an accuracy of 88% in both discovery and replication cohorts. Within these transcripts, significant enrichment of transcripts implicated that estrogen signaling was observed and such enrichment was also evident when analysing published gene expression data predicting PPD from a non-risk cohort. While plasma estrogen levels were not different across groups, women with PPD displayed an increased sensitivity to estrogen signaling, confirming the previously proposed hypothesis of increased sex-steroid sensitivity as a susceptibility factor for PPD. Conclusions These results suggest that PPD can be robustly predicted in currently euthymic women as early as the third trimester and these findings have implications for predictive testing of high-risk women and prevention and treatment for PPD. Copyright
Keyword Biomarkers
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Queensland Brain Institute Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 20 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 24 Oct 2014, 16:56:07 EST by Sylvie Pichelin on behalf of Queensland Brain Institute