biostudies-literatureUnknownSkarke CThe molecular clock regulates diverse aspects of human biology. As people age, diurnal rhythms deteriorate, most evidently in the daytime napping and nighttime waking of older individuals. To understand how temporal deconsolidation of oscillatory networks could contribute to age-related disease expression, we studied the chronobiome at unprecedented depth in young and old apparently healthy individuals. Transomic integration segregated age groups and identified candidate mechanisms by which oscillatory function might contribute to age dependent distinctions. In an orthogonal approach, we validated as true cyclers many proteins identified in the UK Biobank as predictors of health and disease outcomes. Here, age-specific alterations in the cycling proteome across disease phenotypes is consismedRxiv : the preprint server for health sciences2026.01.21.26344528https://www.ebi.ac.uk/biostudies/studies/S-EPMC12879713biostudies-literatureAge and the Diurnal Oscillatory Features of the Human Chronobiome.PMC12879713Chivily CGaun AWeljie AHess KNOlsson NJamal NEDouglas DTeegarden SGrant GMrcela ADaniel SGLordan RO'Brien JMcAllister FHollingsworth TBrooks TGSkarke CTheken KNMelamud EGlessner JFitzGerald GALahens NFBittinger KSengupta ANaik AMoustafa AMWoolfork AMeng HfalseAge and the Diurnal Oscillatory Features of the Human Chronobiome.The molecular clock regulates diverse aspects of human biology. As people age, diurnal rhythms deteriorate, most evidently in the daytime napping and nighttime waking of older individuals. To understand how temporal deconsolidation of oscillatory networks could contribute to age-related disease expression, we studied the chronobiome at unprecedented depth in young and old apparently healthy individuals. Transomic integration segregated age groups and identified candidate mechanisms by which oscillatory function might contribute to age dependent distinctions. In an orthogonal approach, we validated as true cyclers many proteins identified in the UK Biobank as predictors of health and disease outcomes. Here, age-specific alterations in the cycling proteome across disease phenotypes is consis2026-01-01T00:00:00Z2026 Jan2026-07-10T03:22:08.306Z2026-07-10T03:10:11.47ZS-EPMC128797134165907410.64898/2026.01.21.26344528