Actively Recruiting
Evaluation of the Effect of Seasonality on Biological Age in Adults
Led by Société des Produits Nestlé (SPN) · Updated on 2025-12-10
60
Participants Needed
1
Research Sites
87 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This research aims to provide insights on how seasonal variations influence biological age and enhance the design and analysis of long-term lifestyle interventions targeting biological clocks. Aging is a gradual decline in cellular and organ functions, significantly increasing the risk of non-communicable and infectious diseases. Recent research has focused on identifying aging biomarkers that can better predict functional capability in healthy individuals. Biological age clocks, which can be measured from samples like blood or saliva, are emerging as valuable tools for assessing the pace of aging and calculating age acceleration-the difference between chronological and biological age. These clocks utilize molecular and clinical data, including DNA methylation and plasma proteomics, to predict future health outcomes, such as disease risk and mortality. Various DNA methylation-based clocks have been developed, with the Dunedin Pace of Aging (PoAm) offering a more precise modeling of physiological changes over time. Lifestyle factors, including diet and physical activity, can influence age acceleration, suggesting that lifestyle interventions may impact biological aging. Current evidence indicates that three specific epigenetic clocks-PhenoAge, GrimAge, and Dunedin PACE-are particularly effective in detecting beneficial effects on aging trajectories. However, the stability of these clocks during long-term lifestyle interventions remains unclear, as they can exhibit variability over short periods and may be affected by factors influenced by seasonal changes, such as Vitamin D levels, climate, and white blood cells composition. To investigate these seasonal effects on biological age, a proposed observational study will track changes over a 12-month period in middle-aged and older adults.
CONDITIONS
Official Title
Evaluation of the Effect of Seasonality on Biological Age in Adults
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Males and females aged 40 years or older at enrollment
- In general good health or with stable, well-controlled chronic medical conditions not expected to interfere with study participation
- Body mass index (BMI) of 18.5 kg/m² or higher
- Able to understand and sign informed consent before joining the study
- Willing and able to follow study participation requirements
You will not qualify if you...
- Any significant medical, surgical, or psychiatric condition that may risk wellbeing, affect compliance, or confound study results
- Acute illness or recent medical/surgical intervention, including vaccination, within 21 days before enrollment
- Female participants who are pregnant, planning pregnancy, lactating, or breastfeeding
- Currently taking part in another interventional research study
- Family or direct hierarchical relationship with the research team members
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Clinical Lab
Lausanne, CH, Switzerland, 1000
Actively Recruiting
Research Team
A
Ambra Giorgetti, PhD
CONTACT
C
Caroline Le Roy, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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