Abstract 12058: The Impact of Cardiovascular Health Intervention on Plasma Metabolomic Profiles
Bibliographic record
Abstract
Introduction: Previously, we used plasma metabolomics profiling to identify metabolites underlying cardiovascular health (CVH) in participants of the Morehouse-Emory Cardiovascular (MECA) Center for Health Equity Study. Herein, we explored whether a health intervention could alter plasma concentrations of metabolites associated with CVH in MECA participants with poor CVH. Methods: 71 Black adults without known cardiovascular disease and with poor CVH, defined as AHA Life’s Simple 7 (LS7) score <8, were given a technology-enabled behavioral intervention platform (Health360x) for 6 months with or without access to a health coach. Metabolites were assessed pre- and post-intervention by untargeted high-resolution metabolomics profiling. Metabolome wide association study (MWAS) was conducted to identify differentially expressed metabolites and Mummichog was used to identify metabolic pathways that were differentially enriched after the intervention. Annotations were performed by matching to an in-house library of confirmed metabolites. Paired t-test and Wilcoxon signed-rank test were used to compare clinical metrics. Results: Mean age was 55 + 9.0 years, 69% female. Total LS7 scores improved from 6.2 ( + 1.49) to 6.5 ( + 1.74) with the intervention. While total and subcomponent LS7 scores and clinical metrics (BMI, blood pressure, glucose and cholesterol levels) trended toward improvement, the changes were not statistically significant. MWAS identified 18 metabolites that were significantly changed after intervention, including glutamine and glutamate. Pathway analysis demonstrated 30 metabolic pathways that were significantly changed with intervention, including glutamate, aspartate, asparagine, arginine and proline metabolism. Conclusions: Six-months of lifestyle intervention altered activity of 30 metabolic pathways without significant alterations in the clinical metrics. These metabolites and pathways appear to be indicators of a healthier lifestyle in the Black population, potentially supporting their use as markers of CVH and possible therapeutic targets.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".