ArticleMetabolites2024
Metabolomics Profiling of Stages of Coronary Artery Disease Progression.
Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Plasma untargeted metabolomics in coronary artery disease - Correlation with degree of obstruction.Atherosclerosis plus · 2026Article
- The Metabolomic Signature of Stressful Life Events.medRxiv : the preprint server for health sciences · 2026Article
- Remodeling the gut-heart axis: Danggui Sini granule mitigates vasospastic coronary heart disease via microbiota-metabolite interactions.Frontiers in cardiovascular medicine · 2026Article
- Metabolomics reveals the hindgut metabolic changes and physiological impacts in weaned piglets subjected to ETEC infection and berberine intervention.Scientific reports · 2025Article
- Advances in Metabolomics: A Comprehensive Review of Type 2 Diabetes and Cardiovascular Disease Interactions.International journal of molecular sciences · 2025Review
- The Prognostic Value of Residual Gensini Score on 1-Year Cardiac Mortality in Patients Undergoing Percutaneous Coronary Intervention.Research in heart yield and translational medicine · 2025Article
- Metabolic perturbations in cardiomyopathies: implications for early diagnosis and targeted interventions.Frontiers in cardiovascular medicine · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Coronary artery disease (CAD) and atherosclerosis pose significant global health challenges, with intricate molecular changes influencing disease progression. Hypercholesterolemia (HC), hypertension (HT), and diabetes are key contributors to CAD development. Metabolomics, with its comprehensive analysis of metabolites, offers a unique perspective on cardiovascular diseases. This study leveraged metabolomics profiling to investigate the progression of CAD, focusing on the interplay of hypercholesterolemia, hypertension, and diabetes. We performed a metabolomic analysis on 221 participants from four different groups: (I) healthy individuals, (II) individuals with hypercholesterolemia (HC), (III) individuals with both HC and hypertension (HT) or diabetes, and (IV) patients with self-reported coronary artery disease (CAD). Utilizing data from the Qatar Biobank, we combined clinical information, metabolomic profiling, and statistical analyses to identify key metabolites associated with CAD risk. Our data identified distinct metabolite profiles across the study groups, indicating changes in carbohydrate and lipid metabolism linked to CAD risk. Specifically, levels of mannitol/sorbitol, mannose, glucose, and ribitol increased, while pregnenediol sulfate, oleoylcarnitine, and quinolinate decreased with higher CAD risk. These findings suggest a significant role of sugar, steroid, and fatty acid metabolism in CAD progression and point to the need for further research on the correlation between quinolinate levels and CAD risk, potentially guiding targeted treatments for atherosclerosis. This study provides novel insights into the metabolomic changes associated with CAD progression, emphasizing the potential of metabolites as predictive biomarkers.
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Registered trials
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