Neuroimaging Epigenetics of Prospective Postpartum Depression Biomarkers
Completed
Conditions studied: Post Partum Depression, Bipolar Disorder
In brief
Through a recent cross species translational experiment, researchers have identified a set of epigenetic marks capable of predicting postpartum depression with greater than 85% accuracy. The researchers are looking to identify a group of women from both the general population and those with a history of mood disorders who are at risk for postpartum depression and obtain brain imaging data at a postpartum time period prior to the onset of depressive symptoms and compare it with those obtained during depressive episodes. The researchers will also evaluate the efficacy of postpartum depression biomarker prediction.
Key facts
- Study ID
- NCT03638687
- Run by
- Johns Hopkins University
- People needed
- 80
- Starts
- 2014-05-01
- Expected to finish
- 2020-08-01
- Last updated by the study team
- 2020-09-22
Who can join
Age: 18 and older, up to 65. Sex: female. Healthy volunteers: accepted.
You may qualify if…
- pregnant women 18 or older with singleton pregnancy
- with or without history of a mood disorder
- may use psychiatric or Over-the-counter (OTC) medications
- may have experienced preterm labor or delivery
- must be willing to undergo repeated MRI scans (for wave 2)
You may not qualify if…
- current active suicidal ideation
- medical or psychiatric instability
- active substance abuse or dependence in last 90 days
- any significant neurologic disease (wave 2)
- presence of known infection, infarction, lesion in critical memory structures of brain (wave 2)
- pace maker, aneurysm clips, artificial heart valve, ear implants, metal fragments (wave 2)
- high risk pregnancy indications i.e. preeclampsia, genetic anomalies, women with HIV, Lupus, Irritable Bowel Syndrome (IBS) (wave 2)
- implanted Intra-uterine devices (IUDs) or birth control prior to 6 weeks postpartum (wave 2)
Where it is running
- Johns Hopkins East Baltimore Medical Campus — Baltimore, Maryland, United States
Full record on ClinicalTrials.gov
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