Literature DB >> 24495551

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

D Mehta1, D J Newport2, G Frishman3, L Kraus1, M Rex-Haffner1, J C Ritchie4, A Lori5, B T Knight6, E Stagnaro2, A Ruepp3, Z N Stowe6, E B Binder1.   

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.

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Year:  2014        PMID: 24495551     DOI: 10.1017/S0033291713003231

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  32 in total

1.  Replication of Epigenetic Postpartum Depression Biomarkers and Variation with Hormone Levels.

Authors:  Lauren Osborne; Makena Clive; Mary Kimmel; Fiona Gispen; Jerry Guintivano; Tori Brown; Olivia Cox; Jennifer Judy; Samantha Meilman; Aviva Braier; Matthias W Beckmann; Johannes Kornhuber; Peter A Fasching; Fernando Goes; Jennifer L Payne; Elisabeth B Binder; Zachary Kaminsky
Journal:  Neuropsychopharmacology       Date:  2015-10-27       Impact factor: 7.853

Review 2.  Reproductive Affective Disorders: a Review of the Genetic Evidence for Premenstrual Dysphoric Disorder and Postpartum Depression.

Authors:  Katherine McEvoy; Lauren M Osborne; Julie Nanavati; Jennifer L Payne
Journal:  Curr Psychiatry Rep       Date:  2017-10-30       Impact factor: 5.285

3.  Oxytocin receptor DNA methylation in postpartum depression.

Authors:  Mary Kimmel; Makena Clive; Fiona Gispen; Jerry Guintivano; Tori Brown; Olivia Cox; Matthias W Beckmann; Johannes Kornhuber; Peter A Fasching; Lauren M Osborne; Elisabeth Binder; Jennifer L Payne; Zachary Kaminsky
Journal:  Psychoneuroendocrinology       Date:  2016-04-08       Impact factor: 4.905

Review 4.  The role of reproductive hormones in postpartum depression.

Authors:  Crystal Edler Schiller; Samantha Meltzer-Brody; David R Rubinow
Journal:  CNS Spectr       Date:  2014-09-29       Impact factor: 3.790

Review 5.  Stress, sex hormones, inflammation, and major depressive disorder: Extending Social Signal Transduction Theory of Depression to account for sex differences in mood disorders.

Authors:  George M Slavich; Julia Sacher
Journal:  Psychopharmacology (Berl)       Date:  2019-07-29       Impact factor: 4.530

6.  DNA methylation biomarkers prospectively predict both antenatal and postpartum depression.

Authors:  Jennifer L Payne; Lauren M Osborne; Olivia Cox; John Kelly; Samantha Meilman; Ilenna Jones; Winston Grenier; Karen Clark; Evelyn Ross; Rachel McGinn; Pathik D Wadhwa; Sonja Entringer; Anne L Dunlop; Anna K Knight; Alicia K Smith; Claudia Buss; Zachary A Kaminsky
Journal:  Psychiatry Res       Date:  2019-11-27       Impact factor: 3.222

7.  Blood-based biomarkers in depression: emerging themes in clinical research.

Authors:  Monica Uddin
Journal:  Mol Diagn Ther       Date:  2014-10       Impact factor: 4.074

8.  Pharmacologically Induced Sex Hormone Fluctuation Effects on Resting-State Functional Connectivity in a Risk Model for Depression: A Randomized Trial.

Authors:  Patrick MacDonald Fisher; Camilla Borgsted Larsen; Vincent Beliveau; Susanne Henningsson; Anja Pinborg; Klaus Kähler Holst; Peter Steen Jensen; Claus Svarer; Hartwig Roman Siebner; Gitte Moos Knudsen; Vibe Gedsoe Frokjaer
Journal:  Neuropsychopharmacology       Date:  2016-09-21       Impact factor: 7.853

Review 9.  Emerging literature in the Microbiota-Brain Axis and Perinatal Mood and Anxiety Disorders.

Authors:  Hannah S Rackers; Stephanie Thomas; Kelsey Williamson; Rachael Posey; Mary C Kimmel
Journal:  Psychoneuroendocrinology       Date:  2018-05-17       Impact factor: 4.905

10.  Insomnia, postpartum depression and estradiol in women after delivery.

Authors:  Ewa Drozdowicz-Jastrzębska; Michał Skalski; Paulina Gdańska; Anna Mach; Piotr Januszko; Rafał J Nowak; Piotr Węgrzyn; Mirosław Wielgoś; Maria Radziwoń-Zaleska
Journal:  Metab Brain Dis       Date:  2017-08-08       Impact factor: 3.584

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