This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
This research is being done to examine epigenetic markers and mood changes across the menstrual cycle, particularly in premenstrual dysphoric disorder (PMDD). The investigators previously identified epigenetic biomarkers of postpartum depression, another reproductive affective disorder, and in this study aim to determine if these biomarkers also distinguish PMDD cases from healthy controls at different points in the menstrual cycle. By collecting biological samples (such as blood) and monitoring mood changes across the menstrual cycle, the investigators will be able to determine whether these epigenetic markers are associated with PMDD. The investigators plan to study these epigenetic markers during the follicular phase (roughly the first half of the menstrual cycle, from menses until ovulation) and the luteal phase (roughly the second half of the menstrual cycle, from ovulation to menses). The investigators will study this in two groups: 1) individuals who do NOT have premenstrual mood symptoms, and 2) individuals with premenstrual syndrome/premenstrual dysphoric disorder (PMS/PMDD). The results will provide a comprehensive view of the changes in these systems across the menstrual cycle. This will add to the investigators understanding of the mechanisms that may cause PMS/PMDD.
Identification and Validation of Epigenetic Biomarkers of PMDD
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Johns Hopkins University
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.