DNA methylation clocks struggle to distinguish inflammaging from healthy aging, but feature rectification improves coherence and enhances detection of inflammaging.

Biological age estimation from DNA methylation and determination of relevant biomarkers is an active research problem which has predominantly been tackled with black-box penalized regression. Machine learning is used to select a small subset of features from hundreds of thousands of CpG probes and to increase generalizability typically lacking with ordinary least-squares regression. Here, we show that such feature selection lacks biological interpretability and relevance in the clocks of the first and next generations and clarify the logic by which these clocks systematically exclude biomarkers of aging and age-related disease.

Longitudinal analysis highlights structural changes in grey- and white-matter within military personnel exposed to blast.

Objective: The purpose of this study was to determine whether gray matter volume and diffusion-based metrics in associated white matter changed in breachers who had neuroimaging performed at two timepoints. A secondary purpose was to compare these changes in a group who had a one-year interval between their imaging timepoints to a group that had a two-year interval between imaging.

Methods: Between timepoints, clusters with significantly different gray matter volume were used as seeds for reconstruction of associated structural networks using diffusion metrics.

Incidence of serious complications following screening colonoscopy in adults aged 76 to 85 years old.

Background: Screening colonoscopy harms data are limited for adults ages 76-85 years.

Methods: We conducted a retrospective cohort study of screening colonoscopies vs. fecal immunochemical tests (FIT) and general population matched comparators aged 76-85 within 3 integrated healthcare systems (2010-2019).