IASDR

IASDR aggregates and preserves clinical, biospecimen, imaging, and phenotypic data from 18 caloric restriction (CR) clinical trials, including trials combining CR with exercise, to support research on aging, geriatric obesity, and intervention effects.

Key Features:

• Trial scope: Contains data from 18 clinical trials focused on caloric restriction (CR) alone and in combination with exercise regimens.
• Demographics and phenotypes: Includes participant demographics, physical performance metrics, and cognitive function assessments.
• Biospecimens: Stores biological samples including blood, muscle, and adipose tissue.
• Imaging modalities: Contains Dual-energy X-ray Absorptiometry (DXA) and Computed Tomography (CT) imaging data.
• Imaging-derived measures: Provides CT-derived muscle and bone measures and quantification of appendicular lean mass.
• Blood biomarkers: Enables analysis of blood-based assays, including a geroscience-guided biomarker index.
• Pooled analyses: Supports pooling of trial datasets for combined analyses (e.g., pooled analyses across 11 trials and subsets of 8 trials).
• Subgroup and correlation analyses: Facilitates subgroup analyses by baseline BMI and inflammation and correlation analyses between lean mass loss and physical performance measures such as gait speed.

Scientific Applications:

• Geroscience biomarker analysis (Justice et al.): Used blood samples to investigate the impact of CR on a geroscience-guided biomarker index.
• CT-derived muscle and bone assessment (Weaver et al.): Examined how different exercise regimens modify muscle and bone measures derived from CT during CR.
• Pooled trial analysis of lean mass and performance (Miller et al.): Pooled data from 11 trials to test whether CR-induced appendicular lean mass loss correlates with changes in physical performance.
• Effect modification by BMI and inflammation (Hsieh et al.): Analyzed whether the effect of CR on gait speed varies by baseline BMI and inflammation using data from eight trials.

Methodology:

Aggregates and preserves heterogeneous trial data and biospecimens, pools datasets for combined analyses, derives muscle and bone measures from CT, analyzes blood-based biomarker indices, and performs subgroup and correlation analyses (e.g., by baseline BMI and inflammation and between appendicular lean mass loss and physical performance).