The Physiological Chronobiome Modified by Age, Sex and Under Evoked Conditions

Healthy Clinical Trial

Official title:

The Physiological Chronobiome Modified by Age, Sex and Under Evoked Conditions

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT04225442
• Other study ID #: 834156
• Status: Active, not recruiting
• Phase: N/A
• Start date: January 5, 2020
• Est. completion date: June 4, 2027

Study information

• Verified date: January 2024
• Source: University of Pennsylvania
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

The investigators piloted the characterization of the human chronobiome. Now, this line of research is extended to explore physiological chronobiome modulated by sex, age and under evoked conditions.

Description:

"Is your body clock important? Absolutely. Just ask any morning lark who lives with a night owl, or vice versa". This quote from a piece published in the Philadelphia Inquirer about the investigator's work illustrates the importance of time in one's personal preferences [https://www.inquirer.com/health/chronobiome-body-clock-university-pennsylvania-20190307.html ].

Several decades of research have found out that how well a person functions, very much depends on how much this person is in harmony with her/his own preferences and environment. This harmony is acutely disturbed when one travels quickly across several time zones, because suddenly the body's physiology is still following the departure time but the arrival time tells the body something different. As a result, travelers often experience sleep problems and indigestion, which usually disappear after a couple of days. This is different in long-term shift workers for whom work outside of the typical daylight hours means that they have a higher risk for diseases including cardiovascular diseases, diabetes and cancer.

Another observation has been that many diseases occur or worsen at a specific time of day. Heart attacks, for example, most often occur when patients wake up in the morning. Shortness of breath peaks at 4 am in the morning for patients with asthma.

Intriguingly, more and more studies suggest that time of day matters how effective drugs work and how many side effects one might experience. To study this the investigators started to describe the human chronobiome, which foremost looks at time of day differences of a person's physiology, for example, in the small pilot study the investigators saw a difference in break down products, or metabolites, between mornings and evenings. Now, in this present study, the investigators wish to extend the understanding how the human chronobiome differs between healthy men and women, healthy young and old and how it reacts to a fatty meal challenge.

This knowledge will help the investigators to say when a finding can still be considered normal or maybe indicates a first sign of disease. The novelty of this approach is that the investigators measure long enough to understand the role of time of day for a person's chronobiome, that the investigators measure many things to obtain a comprehensive representation of a person's chronobiome, that every measure is timestamped, and that the investigators ask participants to eat fatty meals to see how the chronobiome changes.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 48
• Est. completion date: June 4, 2027
• Est. primary completion date: January 4, 2026
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 75 Years

Eligibility

Inclusion Criteria:

1. Young: 18-30 years of age, Old: 55-75 years of age

2. Apparent healthy

3. BMI (body mass index) up to 27.4

4. Upper arm with intact skin, i.e. without areas of breached or injured skin visible, for ambulatory blood pressure (ABP) measurements,

5. Own and use a smartphone.

Exclusion Criteria:

1. History of severe psychiatric illness or cognitive conditions, for example (mania, schizophrenia, or mental retardation;

2. Shift work, defined as recurring work between 22:00-05:00;

3. A diagnosis of clinically significant obstructive sleep apnea;

4. Serum creatinine > 1.5 mg/dl in men or >1.3 mg/del in women;

5. Significant liver disease (>3x upper limit of normal);

6. Diabetes mellitus;

7. Past diagnosis of gastroesophageal reflux disease,

8. Transmeridian travel across =3 time zones in the two weeks before the 48hr deep phenotype sessions;

9. Use of oral or intravenous antibiotics in the 6 months prior to enrollment;

10. 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;

11. > 2 drinks of alcohol per day;

12. Use of drugs assessed in the urinary drug test;

13. Nursing or pregnant (pregnancy will be repeatedly assessed at the beginning of each of the four inpatient visits, i.e. prior to the start of blood draws);

14. Use of pacemaker or implantable Cardioverter Defibrillator (ICD);

15. Bilateral mastectomy;

16. History of Raynaud's phenomenon;

17. Known allergy against natural latex rubber (contained in ABP bladder and tubing);

18. Subjects taking medication with alpha-blockers.

Related Conditions & MeSH terms

• Healthy
• Healthy Aging

Intervention

Other:
• Fatty meal to challenge the physiological chronobiome in healthy young and old
The intervention consists of a fatty meal

Locations

Country	Name	City	State
United States	Institute for Translational Medicine and Therapeutics (ITMAT), University of Pennsylvania School of Medicine	Philadelphia	Pennsylvania

Sponsors (1)

Lead Sponsor	Collaborator
University of Pennsylvania

Country where clinical trial is conducted

United States, 

References & Publications (1)

Skarke C, Lahens NF, Rhoades SD, Campbell A, Bittinger K, Bailey A, Hoffmann C, Olson RS, Chen L, Yang G, Price TS, Moore JH, Bushman FD, Greene CS, Grant GR, Weljie AM, FitzGerald GA. A Pilot Characterization of the Human Chronobiome. Sci Rep. 2017 Dec 7;7(1):17141. doi: 10.1038/s41598-017-17362-6. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Percent difference in the number of proteins with post-translational modifications found in blood samples from young versus old participants	High-throughput proteomics analysis determines the number of proteins with and without post-translational modifications. This will explore what effect age has on the number of proteins with post-translational modifications.	48 hours
Secondary	Percent difference in the number of proteins with post-translational modifications found in blood samples from female versus male participants	High-throughput proteomics analysis determines the number of proteins with and without post-translational modifications. This will explore what effect sex has on the number of proteins with post-translational modifications.	48 hours
Secondary	Percent difference in the number of proteins with post-translational modifications found in blood samples from female versus male participants and by age	High-throughput proteomics analysis determines the number of proteins with and without post-translational modifications. This will explore whether an interaction between age and sex has an effect on the number of proteins with post-translational modifications.	48 hours
Secondary	Percent difference in environmental light exposure between young versus old participants	Wrist actigraphy collects personal light exposure	48 hours
Secondary	Percent difference in environmental light exposure between young versus old participants and by sex	Wrist actigraphy collects personal light exposure	48 hours
Secondary	Percent difference in physical activity between young versus old participants	Wrist actigraphy records accelerometer data to calculate physical activity	48 hours
Secondary	Percent difference in physical activity between young versus old participants and by sex	Wrist actigraphy records accelerometer data to calculate physical activity	48 hours
Secondary	Percent difference in systolic blood pressure readings between young versus old participants	Ambulatory blood pressure measurements (ABPM) collect blood pressure readings	48 hours
Secondary	Percent difference in systolic blood pressure readings between young versus old participants and by sex	Ambulatory blood pressure measurements (ABPM) collect blood pressure readings	48 hours

External Links

•   Philadelphia Inquirer