Complicated associations between multiplexed environmental factors and aging are poorly
understood. We manipulated aging using multidimensional metrics such as phenotypic age …

To define metrics of phenotypic aging, it is essential to identify biological and environmental
factors that influence the pace of aging. Previous attempts to develop aging metrics were …

Mounting evidence suggests considerable diversity in brain aging trajectories, primarily
arising from the complex interplay between age, genetic, and environmental risk factors …

Ageing is a heterogeneous multisystem process involving different rates of decline in
physiological integrity across biological systems. The current study dissects the unique and …

Brain imaging can be used to study how individuals' brains are aging, compared against
population norms. This can inform on aspects of brain health; for example, smoking and …

Multiple human behaviors improve early in life, peaking in young adulthood, and declining
thereafter. Several properties of brain structure and function progress similarly across the …

Biological age and brain age estimated using biological and neuroimaging measures have
recently emerged as surrogate aging biomarkers shown to be predictive of diverse health …

Previous studies have identified many biomarkers that are associated with aging and related
outcomes, but the relevance of these markers for underlying processes and their …

Neuroimaging techniques have been increasingly used to understand the neural biology of
aging brains. The neuroimaging variables from distinct brain locations and modalities can …

Phenotypic biomarkers (eg cholesterol, weight, and glucose) are important to diagnose and
treat diseases associated with aging. However, while many biomarkers are co-dependent …