- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03656302
Circadian Rhythm Dysregulation in Offspring of Parents With Bipolar Disorder
Study Overview
Status
Conditions
Detailed Description
Bipolar disorder (BD), characterized by episodes of mania or hypomania with frequent depressive episodes, is commonly found in the general population with a lifetime prevalence of 1-2% in the world. The morbidities and mortality associated with bipolar disorder are huge and the repercussion on their family members is considerate. Nonetheless, there is no existing well-established prevention strategy that may prevent this distressing mental disorder. A major reason is that there was limited understanding of the prodromal phase of BD. On the other hand, the genetic background determines about 60-85% of risk variance of BD. In other words, the offspring carries significant risk and propensity to develop future BD. Limited existing studies suggested that offspring of patients with BD have a higher rate of sleep and circadian disturbances and mental disorders than those offspring of parents without BD. Nonetheless, it is still unclear whether sleep and circadian disturbances are prodromal markers or risk factors for the development of bipolar disorder in this high-risk population.
In light of our research and other studies' preliminary findings on the relationship between circadian rhythms dysregulation and BD and robust heritability in BD, we hypothesize that
- Circadian rhythm dysregulations are prodromal features and endophenotypes of BD. The offspring of BD parents will have more circadian rhythm dysregulations than those offspring of healthy controls;
- The biologic indices of circadian rhythm dysregulations will be correlated with subsyndromal psychopathology.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Jihui Zhang, PhD
- Phone Number: (852) 39197647
- Email: jihui.zhang@cuhk.edu.hk
Study Locations
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Hong Kong, Hong Kong
- Recruiting
- Department of psychiatry, Faculty of Medicine, The Chinese University of Hong Kong
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
1. Case offspring
Inclusion criteria:
1) aged 6-21 years old; 2) having at least one biological parent with a lifetime or current diagnosis of bipolar disorder; 3) being able to read, write and understand Chinese; 4) both the offspring and her/his parent(s) agree to sign the informed consent form
Exclusion criteria:
1) having lifetime history or current diagnosis of bipolar disorder; 2) having no good ability to attend this project, such as patients with dementia and mental retardation.
2. Control offspring
Inclusion criteria:
1) aged 6-21 years old; 2) having no biological parent(s) with lifetime or current diagnosis of mood disorders. 3) being able to read, write and understand Chinese; 4) both the offspring and her/his parent(s) agree to sign the informed consent form.
Exclusion criteria:
1) having lifetime history or current diagnosis of bipolar disorder. 2) having no good ability to attend this project, such as patients with dementia and mental retardation.
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Cross-Sectional
Cohorts and Interventions
Group / Cohort |
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Case offspring
Inclusion criteria: 1) aged 6-21 years old; 2) having at least one biological parent with a lifetime or current diagnosis of bipolar disorder; 3) being able to read, write and understand Chinese; 4) both the offspring and her/his parent(s) agree to sign the informed consent form Exclusion criteria: 1) having lifetime history or current diagnosis of bipolar disorder; 2) having no good ability to attend this project, such as patients with dementia and mental retardation. |
Control offspring
Inclusion criteria: 1) aged 6-21 years old; 2) having no biological parent(s) with lifetime or current diagnosis of mood disorders. 3) being able to read, write and understand Chinese; 4) both the offspring and her/his parent(s) agree to sign the informed consent form. Exclusion criteria: 1) having lifetime history or current diagnosis of bipolar disorder. 2) having no good ability to attend this project, such as patients with dementia and mental retardation. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Dim light melatonin onset (DLMO, free day)
Time Frame: 9 hours
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The subjects will be instructed to arrive at our sleep laboratory 9 hours before their usual bedtime.
Saliva samples will be collected into clear sterile tubes every 30 minutes for eight hours, starting six hours before and 2 hours after individual's habitual bedtime.
Subjects will be asked to stay in the light-controlled study room (<30 lux in any direction of gaze) and remain awake and sit quietly.
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9 hours
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Actigraphy and sleep diary
Time Frame: one week
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One-week Actigraphy (GENEActiv) and sleep diary will be employed to continuously measure sleep/wake patterns and physical activity.
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one week
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Body temperature
Time Frame: one week
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Consecutive one-week period Skin temperature will be measured by iButton DS1921H (Dallas, Maxim) at 3 places: right on the middle of the frontal aspect of the thigh, abdomen (1 cm above the navel), and the right infraclavicular area.
It has been demonstrated that iButton has satisfactory validity, reliability, and utility in the measurements of circadian rhythms and sleep/wake cycles.
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one week
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Circadian rhythm pattern of salivary cortisol (free day)
Time Frame: 24 hours
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Subjects will be instructed to collect saliva samples using salivettes upon awakening (0 minute, 15 minutes, 30 minutes, and 45 minutes to measure cortisol awakening response) and then every 4 hours to measure the circadian rhythm patterns of cortisol secretion.
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24 hours
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24-Hour Urinary 6-sulphatoxymelatonin (aMT6s) Assessment
Time Frame: 24 hours
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During the night of DLMO measure, all subjects will be instructed to collect a 24-h urinary samples (nearly 1000 mL) for the urinary 6-sulfatoxymelatonin assessment.
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24 hours
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Sleep macroarchitecture by polysomnography
Time Frame: One-night (nearly 8 hours)
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One-night polysomnographic assessment will be measured to document the sleep architecture, together with DLMO measure.
The recordings include electro-oculogram (EOG), electroencephalogram (EEG), electromyogram (EMG; monitoring over chin and bilateral anterior tibialis muscles), electrocardiogram (ECG), nasal-oral airflow and respiratory movements.
The PSG data will be scored according to the most updated scoring manual of the American Academy of Sleep Medicine.
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One-night (nearly 8 hours)
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The rates of chronotype and sleep disorders
Time Frame: nearly one hour
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Chronotype will be estimated by the Morningness-eveningness Questionnaire (MEQ) or the Children's ChronoType Questionnaire (CCTQ).
Sleep disorders, such as insomnia and delayed sleep phase disorder, will be also determined by the Diagnostic Interview for Sleep Patterns and Disorders (DISP).
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nearly one hour
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: Yun Kwok Wing, MBChB, Chinese University of Hong Kong
- Study Director: Siu Ping Lam, Shatin Hospital
- Study Director: Shirley Xin Li, PhD, Hong Kong University
- Study Director: Roger Man Kin Ng, PhD, Kowloon Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 03140636
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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