Temporal Investigation of Multimodal Elements
ConditionHealth
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age55+
SponsorBuck Institute for Research on Aging
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
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.
Disqualifiers
Hospitalization within the last 3 months.
Needing assistance with daily living activities.
Working night or irregular shifts.
Certain musculoskeletal, pulmonary, or cardiovascular conditions.
Trial population
The study population consists of healthy older adults aged 55 years or older.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Generation of a longitudinal multi-omic and digital health dataset characterizing biorhythms in older adults
Establish a publicly shareable reference dataset integrating blood-based proteomic, metabolomic, and lipidomic profiles with continuous digital health data and microbiome samples from healthy older adults over time, capturing daily, weekly, and perturbation-induced physiological dynamics.
Time frame
12 monthsSecondary outcomes
1
Characterization of associations between molecular biomarkers and digital health data across time
Identify and quantify temporal correlations between blood-derived molecular biomarkers and physiological signals collected via wearable devices, including responses to standardized challenges.
Time frame
12 monthsSponsors and contacts
Click on the lead sponsor to view all of their trials.
Buck Institute for Research on Aging
Lead sponsor
Phenome Health
Collaborator
Source ClinicalTrials.gov