ArticleNature metabolism2026
Longitudinal multimorbidity trajectories shape personalized glycaemic patterns.
Article in Nature metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Older individuals often live with diverse combinations of chronic diseases. However, whether multimorbidity contributes to glycaemic dysregulation remains unclear. Here we show that cumulative disease trajectories shape interindividual glycaemic variability throughout the ageing process. Tracking 1,398 participants in the Guangzhou Nutrition and Health Study cohort over 12 years, we develop a systemic multimorbidity index (MMI-system) that reflects the cumulative burden of chronic disorders. We also measure individual glycaemic dynamics and responses to dietary challenges using continuous glucose monitoring at the latest follow-up visit (mean age, 69.2 years). MMI-system exhibits dose-dependent associations with glycaemic variability and sensitivity to dietary challenges, independent of diabetes status. Longitudinal proteome mapping reveals that lipid homeostasis proteins explain 12.9% of the association between MMI-system and personalized dietary responses. These findings are independently validated in the China Health and Nutrition Survey cohort. Overall, our study suggests that integrating longitudinal multimorbidity profiling with circulating proteomics may enhance precision glycaemic management, offering actionable insights for dietary interventions in the older population.
Indexed as
Identifiers
41991691What 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.