Temporal Investigation of Multimodal Elements

NCT ID: NCT07107386

Last Updated: 2025-08-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

120 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-06-15

Study Completion Date

2028-06-30

Brief Summary

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The TIME Study is a research project aiming to understand the body's natural rhythms. The goal is to see how daily and weekly changes in our bodies-from what's happening at a molecular level to data from wearable devices-are connected.

What is the study about? This study is trying to create a detailed map of how a person's body changes over time. By looking at information from blood, urine, and other samples, as well as data from smartwatches and other devices, researchers want to learn how our bodies' natural cycles work in healthy older adults. The long-term goal is to use this knowledge to help develop more personalized healthcare in the future.

Who can participate? The study is looking for healthy adults, age 55 or older, who have a smartphone and are able to travel to the Buck Institute in Novato, California, for study visits.

Participants will be asked to:

Attend weekly visits over 11 weeks to provide blood and other samples.

Wear health-tracking devices like a smart ring and watch.

Use a smartphone app to answer questions about their daily routines.

Complete two "challenge" tests, including drinking a glucose solution and exercising on a stationary bicycle.

Return for follow-up visits after 6 and 12 months.

Are there any risks or benefits? Benefits: There are no direct health benefits for participants. However, the information gained will help scientists create better diagnostic tools and treatments for future generations.

Risks: The main risks are minor discomfort from things like blood draws or skin irritation from the wearable devices. All personal information and data are kept private and secure.

Detailed Description

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Conditions

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Health

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Healthy adults aged 55 years or older.
* Own a smartphone capable of running study-specific apps.
* Willing and able to attend in-person visits at the Buck Institute in Novato, CA.
* Reside in the Pacific or Mountain Time Zones.
* Able to speak, read, and write English.
* Willing to wear study devices continuously and allow researchers access to all data.
* Able to provide informed consent.

Exclusion Criteria

* Hospitalization within the last 3 months.
* Needing assistance with daily living activities.
* Working night or irregular shifts.
* Certain musculoskeletal, pulmonary, or cardiovascular conditions.
* Uncontrolled high blood pressure (BP \> 180/100 mmHg).
* Bleeding disorders, anemia requiring treatment, or recent blood donation.
* Poor vein access.
* Unstable health conditions.
* Chronic antibiotic use.
* Certain psychiatric disorders.
* Use of excluded medications, supplements, or products, including certain antibiotics or frequent sleep aids.
Minimum Eligible Age

55 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Phenome Health

UNKNOWN

Sponsor Role collaborator

Buck Institute for Research on Aging

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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James Yurkovich, PhD

Role: PRINCIPAL_INVESTIGATOR

Phenome Health, The Buck Institute for Research on Aging

Locations

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Buck Institute

Novato, California, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Brianna Stubbs, Research Assistant Professor, PhD.

Role: CONTACT

(415) 209-2072

Alison Le, Project Manager

Role: CONTACT

Facility Contacts

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Brianna Stubbs, Research Assistant Profressor, PhD.

Role: primary

4152517451

Alison Le, Project Manager

Role: backup

Other Identifiers

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1AY2AX000072-01

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

BUCK 2502

Identifier Type: -

Identifier Source: org_study_id

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