Mapping the Shift Worker's Microbiome
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Pennsylvania
-
Philadelphia, Pennsylvania, United States, 19104
- Institute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania School of Medicine
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Cohort 1: healthy un-medicated males (to limit gender-induced variability similar to our pilot study), shift-work schedule (>3 shifts per month outside 7am-6pm (9)) for the past ≥10 years, 40-59 years old (increased prevalence of the metabolic syndrome at ≥60 years of age (20));
- Cohort 2: day workers who work 7am-6pm for ≥10 years matched for line of work, age, gender, and BMI;
- Volunteers are capable of giving informed consent;
- 40-59 years of age;
- Own an android smartphone which installs the remote sensing applications (those with apple smartphones will not be recruited);
- Non-smoking;
- Male subjects
- The use of contraception will NOT be required for male participants.
Exclusion Criteria:
- Recent travel across more than two (2) time zones (within the past month);
- Planned travel across more than two (2) time zones during the planned study activities;
- Use of illicit drugs;
- High dose vitamins (Vitamin A, Vitamin C, Vitamin E, Beta Carotene, Folic Acid and Selenium), alcohol and any over-the counter NSAID in the (2) two weeks before the start of the 48 hour deep phenotyping;
- High fat foods and caffeine in the past 24 hours prior to the 48-hour deep chronotyping session;
- History of abdominal surgery;
- Known allergy or intolerance to Vancomycin, and/or Neomycin;
- Use of anticholinergics in the week prior to the 48-hour sessions;
- Use of laxatives or anti-diarrhea medications in the two weeks prior to the 48-hour sessions;
- Subjects, who have received an experimental drug, used an experimental medical device within 30 days prior to screening, or who gave a blood donation of ≥ one pint within 8 weeks prior to screening;
- Subjects with any abnormal laboratory value or physical finding that according to the investigator may interfere with interpretation of the study results, be indicative of an underlying disease state, or compromise the safety of a potential subject;
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Cohort 1
Shift workers receive a standardized meal with a glucose challenge test
|
Postprandial glucose and insulin response
|
|
Experimental: Cohort 2
Matched healthy controls receive a standardized meal with a glucose challenge test
|
Postprandial glucose and insulin response
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Area under the glucose over time curve
Time Frame: 12 hour
|
Area under the curve (AUC) will be calculated from serial, timed glucose measurements
|
12 hour
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Time-of-day dependent fluctuations of the microbiome
Time Frame: 48 hours
|
Relative abundances assessed several times of day (morning, afternoon, evening, night with target times of 08:00, 14:00, 20:00, 02:00 +/- 1 hour)
|
48 hours
|
|
Compound outcome derived from percent variance explained in communication (number of phone calls and text messages), mobility (miles traveled), light exposure, blood pressure, heart rate, heart rate variability, sleep/wake times, body core temperature
Time Frame: 48 hours
|
To evaluate the linear relationships between every pairwise combination of variables in the integrated dataset, the R^2, or coefficient of determination, will be calculated for each pair using linear regression.
A heat map of the proportion of variance in each variable (e.g.
mobility, light exposure, systolic blood pressure) explained by each other variable will then be constructed to allow an integrative exploration of these data.
Here, the advantage is that multiple assessments with different units of measure can be integrated to generate deep phenotypes.
|
48 hours
|
|
Compound outcome derived from variance observed in multiomics outputs (metabolites, microbiota).
Time Frame: 48 hours
|
To explore factors contributing to the variance observed using principal components analysis
|
48 hours
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Carsten Skarke, MD, University of Pennsylvania
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 826117
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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