Sleep
Conditions
Brief summary
The aggregate of microorganisms inhabiting the human body can be regarded as a dynamic reflector of both healthy and disease states, altering in response to changes in the environment. This may precede clinically detectable disease; and thereby, could be used to predict disease onset and additionally monitor response to treatment and predict prognosis. The primary hypothesis of this pilot study is that the human microbial communities are influenced by sleep and altered in humans with abnormal sleep patterns, and they may ultimately relate to disease risk.
Interventions
BEHAVIORALSleep restriction
DIETARY_SUPPLEMENTWeight gain
Sponsors
Mayo Clinic
Study design
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
PREVENTION
Masking
NONE
Intervention model description
Crossover; Single group
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Only subjects who are eligible for ongoing IRB-approved studies will be deemed eligible for this protocol.
Exclusion criteria
* Pregnant or breast-feeding women * Subjects who are ineligible for ongoing IRB-approved studies will not be included in this protocol
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Changes in human microbiota induced by sleep manipulation in healthy subjects | 1 year |
| Changes in human microbiota induced by fluctuations in body weight and sleep in healthy subjects | 20 weeks |
Countries
United States
Contacts
CONTACTNick Wozniak
CONTACTLaura Hammel
PRINCIPAL_INVESTIGATORVirend Somers, MD, PhD
Mayo Clinic
Outcome results
None listed