RUSS-AGE, CREATING OF A BIOLOGICAL AGE CALCULATOR AND STUDY OF AGING PHENOTYPES IN THE RUSSIAN POPULATION
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 3,500
- 试验地点
- 1
研究概览
简要总结
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.
详细描述
Background and Rationale Chronological age is an imprecise measure of an individual's functional health and aging trajectory. Biological age, an integrative measure of systemic physiological state, is a more accurate predictor of age-related morbidity and mortality. While multiple biomarkers and models for estimating biological age exist, they are primarily derived from non-Russian populations and may not account for region-specific genetic, lifestyle, and environmental factors. The RUSS AGE study aims to address this gap by establishing a comprehensive, population-specific biological age calculator for the Russian population.
Primary Objectives To develop and validate a mathematical model (calculator) for estimating biological age in the Russian adult population based on a multidimensional panel of biomarkers, clinical parameters, and functional assessments.
Secondary Objectives
- To characterize aging phenotypes (profiles) across different adult age groups (from 18 to 90+ years) in Russia.
- To analyze the associations between socio-economic status, lifestyle factors, health history, and the rate of biological aging.
- To establish a biobank of blood, serum, plasma, and urine samples for future research on aging mechanisms.
- To identify potential targets for geroprotective interventions and lay the groundwork for future prospective studies on predicting age-associated disease risk.
Study Design This is a multi-center, cross-sectional, observational study. The study involves several visits per participant, with no interventional procedures. Data and biospecimen are collected to create a reference database and develop the predictive model. Some participants will be re-enrolled in the study with repeated data collection
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Signing the informed consent form to participate in the study.
- •Participant's age was 18 years or older at the time of inclusion in the study.
排除标准
- •Refusal to participate in the study or to provide informed consent.
- •History or medical records indicating the presence of infectious diseases (Hepatitis C, Hepatitis B, including HBsAg carrier status, HIV infection).
- •Presence of an acute illness/condition, exacerbation of a chronic disease, or surgical intervention within the last month prior to study inclusion.
- •Lack of remission from an oncological disease or ongoing anti-tumor therapy initiated less than three years prior to study inclusion.
- •Severe cognitive or sensory impairments and mental disorders that, in the investigator's opinion, preclude adequate communication with the subject.
- •Severe forms of chronic non-communicable diseases: life-threatening cardiac arrhythmias, chronic heart failure NYHA Class III-IV, left ventricular ejection fraction <40%, ischemic heart disease CCS Class III-IV, chronic kidney disease Stages 4-5, type 1 diabetes mellitus, type 2 diabetes mellitus with terminal stages of complications, systemic connective tissue diseases, chronic obstructive pulmonary disease with respiratory failure of Grade 1 or higher, bronchial asthma requiring glucocorticosteroid therapy, osteoarthritis Kellgren-Lawrence Grade IV, body mass index (BMI) ≥40 kg/m², as well as documented history of myocardial infarction (MI) or acute cerebrovascular accident (stroke).
- •Pregnancy or lactation (breastfeeding).
- •Any other factors that, in the investigator's opinion, may preclude the participant's inclusion in the study.
- •Additional exclusion criteria for participants undergoing stool sample collection:
- •Use of systemic antibiotics for 3 or more days within the 3 months prior to the study start.
- •Any invasive procedures on the large intestine within the last 3 weeks prior to the study start.