Observational studySleep2026
Metabolomic biomarkers of rest-activity rhythms in older men: results from the Osteoporotic Fractures in Men (MrOS) study.
Observational study in Sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Rhythmic Metabolism in Osteosarcopenia: Emerging Evidence, a Chronometabolomic Framework for the Bone-Muscle Unit, and Research Priorities.Metabolites · 2026Review
- Fluctuations in Sleep Duration and Timing and Cardiometabolic Risk.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
- Sleep Rhythmicity as a Core Domain of Multidimensional Sleep Health Associated with Cognitive Impairment in Older Men.Nature and science of sleep · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
STUDY
objectivesRest-activity rhythm characteristics have been linked to a wide range of health conditions; however, the molecular mechanisms underlying these associations are not well understood. This study is the first of two studies aiming to use an untargeted approach to identify metabolomic markers associated with rest-activity rhythm characteristics and focuses on older men.
methodsThe study included 950 participants from the Osteoporotic Fractures in Men study. Multiple parametric and non-parametric variables of rest-activity rhythms were derived from actigraphy data. A total of 848 metabolites were measured from fasting blood samples using an untargeted approach. Multiple linear regression models and Ingenuity Pathway Analysis (IPA) were used to identify metabolomic profiles associated with rest-activity variables.
resultsWe found 65 metabolites, mostly amino acids and lipids, that were significantly associated with at least one of the primary rest-activity variables (i.e. pseudo-F-statistic, intradaily variability, and interdaily stability). These metabolites were from various biochemical pathways, including diacylglycerol, plasmalogen, lysoplasmalogen, and amino sugar metabolism. The IPA suggested that these metabolites may be implicated in various diseases and functions, particularly immune and inflammatory diseases, and identified the PEX2-PEX5 network as a significantly enriched gene-regulation pathway.
conclusionsOur findings expand the current knowledge about the relationship between diurnal behaviors and human metabolism, and provide new evidence regarding mechanistic pathways that may mediate the adverse health effects of impaired rest-activity rhythms in older men. Statement of Significance In this metabolomics study in older men, we found a large number of metabolites that were associated with rest-activity rhythms. Our findings expand the current knowledge about the relationship between circadian-regulated diurnal behaviors and human metabolism, reinforce the critical role of circadian function in health and diseases, and provide new evidence regarding mechanistic pathways that may mediate the adverse effects of circadian disruptions. Our findings also point to ample future directions for further research to further elucidate the relationships among rest-activity rhythms, metabolomic profiles, and disease risk, which may help identifying intermediate targets for developing disease therapies and developing models for disease risk prediction and management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.