The Ageing BIOmarker Study in Singaporeans (ABIOS) aims to understand the biological aging processes and how they affect health among people in Singapore. As people grow older, their risk of developing chronic diseases increases. This study aims to better understand the biological changes that come with age, particularly in three major ethnic groups: Chinese, Malay, and Indian adults over 21 years old. By examining a range of health indicators such as DNA methylation, inflammation, metabolism, cardiovascular health, physical function, and physical activity (i.e., molecular, physiological, and digital biomarkers of ageing), the study seeks to identify how ethnicity, lifestyle, and socioeconomic factors influence ageing. This unique study focuses on an all-Asian population, aiming to enhance our understanding of healthy aging across different ethnic groups.
Biological ageing is the primary driver of age-associated chronic diseases in older adults. Asian populations have been underrepresented in studies developing biological age predictors and understanding age-related diseases. Thus, the Ageing BIOmarker Study in Singaporeans (ABIOS) aims to characterise the biomarkers of ageing in Singaporeans, exploring associations between molecular, physiological, and digital biomarkers of ageing. This is a single-centre, cross-sectional study that recruits healthy community-dwelling adults (≥ 21 years) from three different ethnic groups (Chinese, Malay, and Indian). Molecular biomarkers of ageing include a multi-omics approach, such as DNA methylation and metabolic and inflammatory parameters in blood, saliva, and stool. Physiological biomarkers of ageing include bone density, body composition, skin autofluorescence, arterial stiffness, physical performance (e.g., muscle strength and flexibility), cognition, and nutritional status. Digital biomarkers of ageing include three-dimensional facial morphology and objective physical activity. Additional factors such as habitual physical activity, dietary patterns, and medical history are also examined. The associations between the molecular, physiological, and digital phenotypes will be explored. By examining diverse age-related biomarkers, clinical indicators, and lifestyle factors, ABIOS will offer unique insights into the ageing process within these ethnic groups to develop health policies and interventions for promoting healthy ageing in an all-Asian population.
Study Type
OBSERVATIONAL
Enrollment
420
Centre for Healthy Longevity at Alexandra Hospital
Singapore, Singapore
blood DNA methylation
DNA methylation ageing clock, years
Time frame: Baseline
Carotid-femoral Pulse Wave Velocity
Arterial stiffness measured by pulse wave velocity, m/s
Time frame: Baseline
Handgrip strength
Handgrip strength measured by dynamometer, kg
Time frame: Baseline
8-repetition maximal strength
Lower body strength measured by maximum weight for 8 leg extension repetitions, kg
Time frame: Baseline
Skin autofluorescence
Skin autofluorescence measured by advanced glycation end products
Time frame: Baseline
Objective physical activity
Objective physical activity measured by an activity tracking monitor
Time frame: Baseline
Facial age
Facial ageing clock based on 3D face morphometry, years
Time frame: Baseline
Complete red blood cell (RBC) count
Clinical blood parameters, RBC x 10\^12/L
Time frame: Baseline
Total white blood cell (WBC) count
Clinical blood parameters, WBC x 10\^9/L
Time frame: Baseline
Total cholesterol
Lipid profile panel, mmol/L
Time frame: Baseline
HDL cholesterol
Lipid profile panel, mmol/L
Time frame: Baseline
LDL cholesterol
Lipid profile panel, mmol/L
Time frame: Baseline
Triglycerides
Lipid profile panel, mmol/L
Time frame: Baseline
Fasting blood glucose
Clinical blood parameters, mmol/L
Time frame: Baseline
Total protein
Liver profile panel, mmol/L
Time frame: Baseline
Total bilirubin
Liver profile panel, umol/L
Time frame: Baseline
Alkaline phosphatase (ALP)
Clinical blood parameters, U/L
Time frame: Baseline
Insulin
Clinical blood parameters, Roche immunoassay, mU/L
Time frame: Baseline
HbA1c
Clinical blood parameters, %
Time frame: Baseline
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