ArticleSleep2026
Metabolomic biomarkers of rest-activity rhythms in older women: results from the Women's Health Initiative study.
Article in Sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
STUDY
objectivesPrior research has suggested that disrupted and weakened rest-activity rhythms measured by accelerometry may be associated with risks of many diseases, including cardiometabolic diseases, cancer, and dementia, but the mechanisms underlying this are not fully understood. This study is the second of two studies aimed at using an untargeted approach to identify metabolomic markers associated with rest-activity rhythm characteristics and focuses on older women.
methodsThe analysis included 688 women in the Women's Health Initiative. Rest-activity rhythms were characterized by parametric and non-parametric algorithms applied to accelerometry data. Metabolomics data were measured from fasting serum samples with ultra high-performance liquid-phase chromatography and gas chromatography coupled with mass spectrometry and tandem mass spectrometry. Associations between rest-activity rhythms and metabolomics were determined by multiple linear regression models and Ingenuity Pathway Analysis.
resultsOf the 934 metabolites included, 280 showed an association (false discovery rate < 0.1) with one of the three primary rest-activity variables (pseudo F-statistic, intradaily variability, and interdaily stability). These metabolites represent a wide range of biochemical classes and metabolic pathways, including sulfur amino acids, fibrinopeptides, plasmalogens, amino sugar metabolites, and nucleotides. The PEX5 gene network was identified by the Ingenuity Pathway Analysis as the most significantly enriched genetic pathway in relation to rest-activity rhythms.
conclusionsWe found numerous metabolites and pathways that were associated with rest-activity rhythm variables in older women, suggesting a potentially wide-reaching role of diurnal behaviors in human metabolism and health. Statement of Significance In this metabolomics study in older women, we found a large number of metabolites that were associated with rest-activity rhythms. These metabolites represented a wide range of biochemical classes and metabolic pathways. This analysis also confirmed numerous metabolite associations we have recently found in a sample of older men in the Osteoporotic Fractures in Men study, lending further support to a wide-reaching role of circadian rhythms and diurnal behaviors in human health. To the best of our knowledge, our two studies were the first metabolomics investigations focusing on rest-activity rhythm characteristics. With further validation studies, we anticipate that findings from these studies will contribute to the broader endeavor to understand, diagnose, and treat circadian rhythm-related disorders, with potential benefits for human health.
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.