ArticleJournal of the American Heart Association2026
Metabolomic Markers of Left Ventricular Structure, Diastolic Function, and Risk of Coronary Heart Disease: A Longitudinal Study in American Indian Individuals.
Article in Journal of the American Heart Association, 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
backgroundSubclinical alterations in left ventricular (LV) structure, diastolic function, and metabolic disturbances are associated with coronary heart disease (CHD) risk, but their relationships remained unclear. Large-scale longitudinal metabolomic profiling of LV measures is lacking.
methodsUsing untargeted metabolomics, we quantified 563 fasting plasma metabolites from 1799 American Indian individuals attending 2 exams (~5.5 years apart). We examined associations between metabolites and measures of LV structure (LV mass index, relative wall thickness), and diastolic function (peak early filling velocity to peak late filling velocity, isovolumic relaxation time, and deceleration time) using generalized estimating equation model. Findings were then replicated in an independent biracial cohort. Frailty Cox proportional hazards models were used to examine whether LV-related metabolites are associated with the risk of CHD over a 20-year follow-up. Pathway enrichment analysis was performed to identify relevant metabolic pathways.
resultsWe identified 173 metabolites (47 named;
conclusionsWe identified metabolomic markers of LV structure and diastolic function, several of which that were independently associated with CHD risk, providing insight into metabolic pathways underlying LV subclinical changes and CHD.
Indexed as
Identifiers
What Socratic 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 Socratic graph.