Evidence map›Paper›PMID 41783779›Full record

ArticleFrontiers in sports and active living2026

Metabolomic signatures connect and mediate sedentary time-driven mortality risk in patients with cardiovascular disease.

Min Zhu, Keke Ding, Peiyang Luo, Xufei Peng, Rengfei Shi, Ru Wang, Tianlu Chen

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Min Zhu *Center for Translational Medicine, Shanghai Sixth People's Hospital, Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Keke Ding *Center for Translational Medicine, Shanghai Sixth People's Hospital, Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Peiyang LuoCenter for Translational Medicine, Shanghai Sixth People's Hospital, Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xufei PengCenter for Translational Medicine, Shanghai Sixth People's Hospital, Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rengfei ShiSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.
Ru WangSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.
Tianlu ChenCenter for Translational Medicine, Shanghai Sixth People's Hospital, Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increasing evidence highlights the association between sedentary behavior and cardiovascular disease (CVD). However, the molecular mechanisms that link sedentary behavior to adverse cardiovascular outcomes, especially the metabolomics pathways, remain unclear. Methods: Participants with CVD at baseline from 2006 to 2010 in the UK Biobank were involved. The all-cause mortality outcome was obtained through the National Death Registry System. Cox proportional hazards model and the elastic network regression model were employed to identify metabolic signatures related to both sedentary time and the risk of all-cause mortality. Mediation analysis was conducted to examine the mediating effects of selected metabolic signatures to the association of sedentary behavior and mortality. The follow-up data was used for validationt. Objectives: This study aims to explore the mediating role of the metabolome in the association between sedentary behavior and all-cause mortality among individuals with CVD, providing metabolic insights for CVD management. Results: The study included 13,561 baseline CVD participants with concentrations of 249 serum metabolites and sedentary time. Thirty-five metabolites were associated with sedentary behavior. Both sedentary time [hazard ratio (HR), 1.08 (95% CI, 1.04-1.13)] and the integrated metabolic feature which was derived from the 35 identified metabolites were associated with an increased risk of all-cause mortality [HR, 1.16 (95% CI, 1.10-1.21)]. Out of the 35 metabolites selected by elastic net regression, 24 were significantly associated with all-cause mortality. These included metabolites involved in fatty acid metabolism, branched-chain amino acid metabolism and inflammatory-related glycoproteins. The integrated metabolic feature, glycoprotein acetyls, phospholipids to total lipids in very small VLDL percentage, and monounsaturated fatty acids to total fatty acids percentage played 36.3%, 35%, 22%, 20% mediating roles respectively between sedentary behavior and all-cause mortality risk. Conclusion: Our research has revealed the metabolic effects associated with sedentary behavior and all-cause mortality in patients with CVD, highlighting possible targets for personalized intervention and management.

Indexed as

CVDmetabolic signaturemetabolomicsmortalitysedentary behavior

Identifiers

PMID41783779
PMCPMC12956304

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.