Healthy lifestyle changes, particularly improvements in diet and smoking, were inversely related to comprehensive and organ-specific biological aging in Southwest China, highlighting key intervention targets to limit aging.

Unhealthy lifestyle habits in adolescence associate with accelerated biological aging in young adulthood, but shared genetic factors underlying both lifestyle and biological aging may largely explain the observed associations.

Methylation pace of aging is a novel measure requiring only a blood sample that clinical-trial and observational studies can use to test if treatments modify how fast participants are aging.

A model was developed to predict human biological age from physiological traits, enabling the prediction of future health and mortality and the identification of genetic loci that influence aging.

DunedinPACE is a novel DNA methylation biomarker of the pace of biological aging for intervention trials and natural experiment studies investigating how the rate of aging may be changed by behavioral or drug therapy, or by environmental modification.

Identification of causal genes and their effects on other biological determinants untangles the complexities of aging and Alzheimer's and can facilitate drug discovery for sustaining healthy aging and treating Alzheimer's.

Biological aging processes and age-related diseases demonstrate sexual dimorphism where complex interactions between underlying aging mechanisms and sex chromosomes and hormones are seen in humans and animals.

Biological ages have the potential to provide aging-related information beyond chronological age and can be predictive of mortality independently of both chronological age and different types of biological ages.

Despite no observed correlation between retrotransposon (RTE) activity and chronological age, the expression of most RTE classes and families except SINEs correlated with biological age-associated gene signature scores.

An integrative study of five biological clocks in somatic and mental health indicate that one's biological age is best reflected by combining aging measures from multiple cellular levels.