Characterization of Microbial, Immune and Epigenetic Biomarkers for Major Depressive Disorder and ECT Treatment
NCT03703414 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 60
Last updated 2018-10-16
Summary
The investigators aim to characterize fecal microbial biomarkers as well as blood cytokine levels in MDD patients vs. healthy controls. 40 MDD patients will be recruited for this study, as well as 20 healthy age-matched participants (as a control group). Following signing of informed consent, stool and blood (20 ml) samples will be collected from all participants, for microbial composition assessment, and blood measures of inflammation and protein expression. According to clinical assessment of the diagnosed MDD patients, the psychiatrist will recommend SSRI or ECT treatment, and the patients will be divided accordingly to treatment group. Clinical status will be assessed by the Hamilton Depression Rating Scale (HAM-D) scored by a psychiatrist at the starting point (before treatment), after 4 weeks of treatment (as ECT-group patients receive 8-12 treatments on average). A lowering in the HAM-D score will be considered clinical improvement which may be attributed to treatment. The investigators expect a treatment success rate of over 50% for ECT according to past experience. Blood and stool samples will be collected from MDD patients after 4 weeks of treatment, repeating inflammatory, protein expression and microbial measurements and comparing them to initial results. Additional data recorded will include age, BMI, ethnicity, previous medication use, and number of ECT treatments or current medication.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
Fecal microbiota composition analysis and blood cytokine level analysis
Fecal microbiota composition analysis and blood cytokine level analysis
Sponsors & Collaborators
-
Ziv Hospital
lead OTHER_GOV
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2018-11-01
- Primary Completion
- 2019-10-31
- Completion
- 2019-10-31
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