Actively Recruiting
RUSS-AGE: Creating of a Biological Age Calculator and Study of Aging Phenotypes in the Russian Population
Led by Pirogov Russian National Research Medical University · Updated on 2026-05-07
3500
Participants Needed
1
Research Sites
398 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This is a multi-center, cross-sectional, observational study aimed at developing biological age calculators specifically for the Russian population investigating various aging phenotypes. Aging is a complex process that varies greatly between individuals, meaning that chronological age does not always reflect one's biological health status. The primary goal of this study is to identify and analyze a comprehensive set of markers (including socioeconomic factors, lifestyle, physical parameters, cognitive function, and laboratory biomarkers) that best reflect the aging process. Using this data, researchers will create a mathematical model to estimate a person's "biological age." The study plans to enroll at least 3,500 male and female volunteers aged 18 years and older from across Russia. Participants will be divided into 5-year age groups (e.g., 18-24, 25-29, up to 90+ years) to ensure broad representation. Participation involves a single visit to a clinical center. During this visit, participants will undergo: Interview and questionnaires (assessing health history, lifestyle, socioeconomic status, diet, sleep, and quality of life). Physical examination and anthropometric measurements (height, weight, blood pressure, grip strength). Functional and cognitive tests (e.g., walking speed, balance tests, memory and attention tasks tailored to age). Collection of biomaterials: blood (50 ml), urine, and stool samples for extensive laboratory analysis, including routine tests and specialized aging biomarkers. Part of the biomaterials will be biobanked for future scientific research. Instrumental examinations for a subset of participants: Depending on the center's capabilities and the study protocol, some participants may also undergo additional assessments such as densitometry (bone density scan), bioimpedance analysis (body composition), and brain MRI. The results are expected to lead to the creation of a validated biological age calculator for the Russian population. This tool could help identify targets for interventions to promote healthy aging and, in the future, potentially predict the risk of developing age-related chronic diseases.
CONDITIONS
Official Title
RUSS-AGE: Creating of a Biological Age Calculator and Study of Aging Phenotypes in the Russian Population
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Signed informed consent to participate in the study.
- Age 18 years or older at the time of inclusion.
You will not qualify if you...
- Refusal to participate or provide informed consent.
- History or records of infectious diseases including Hepatitis B, Hepatitis C, or HIV infection.
- Acute illness, worsening of chronic disease, or surgery within the last month before inclusion.
- No remission from cancer or anti-tumor therapy started less than three years before inclusion.
- Severe cognitive or sensory impairments or mental disorders preventing communication.
- Severe chronic diseases such as life-threatening heart arrhythmias, advanced heart failure, ischemic heart disease, advanced chronic kidney disease, type 1 diabetes, complicated type 2 diabetes, connective tissue diseases, severe chronic obstructive pulmonary disease, asthma requiring steroid therapy, advanced osteoarthritis, BMI ≥40 kg/m², history of heart attack or stroke.
- Pregnancy or breastfeeding.
- Other factors deemed by the investigator to prevent inclusion.
- For stool sample collection: use of systemic antibiotics for 3 or more days within 3 months prior.
- For stool sample collection: invasive procedures on the large intestine within 3 weeks prior.
AI-Screening
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Trial Site Locations
Total: 1 location
1
Pirogov Russian National Research Medical University
Moscow, Russia, 129226
Actively Recruiting
Research Team
L
Liubov Machekhina, MD, 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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