Trial reportCardiovascular diabetology2023
Plasma lipidic fingerprint associated with type 2 diabetes in patients with coronary heart disease: CORDIOPREV study.
Trial report in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00924937 (Randomized Clinical Trial on the Effects of Mediterranean Diet), which is not on this 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.
Randomized Clinical Trial on the Effects of Mediterranean Diet (Rich on Olive Oil) in the Reduction of Coronary Events of Patients With Coronary Disease
Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- Hepatic and metabolic effects of SGLT2 inhibitors in type 2 diabetes and MASLD assessed by metabolomic and lipidomic analysis.Scientific reports · 2026Article
- Mitochondrial Dysfunction in Type 2 Diabetes and Metabolic Syndrome: Mechanisms, Biomarkers, and Emerging Therapies.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
- The Central Role of Lipid Metabolism Disorders in Diabetes Mellitus: Mechanisms, Clinical Manifestations, and Emerging Therapeutic Strategies.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
- The polyunsaturated-to-monounsaturated fatty acid ratio and cardiovascular risk prediction: a prospective cohort study of 183,237 adults.Lipids in health and disease · 2025Article
- Multiple triglyceride-derived metabolic indices and incident cardiovascular outcomes in patients with type 2 diabetes and coronary heart disease.Cardiovascular diabetology · 2024Article
- The Blood Plasma Lipidomic Profile in Atherosclerosis of the Brachiocephalic Arteries.Biomedicines · 2024Article
- Article
Corrections and comments
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Authors and funding
16 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe aimed to identify a lipidic profile associated with type 2 diabetes mellitus (T2DM) development in coronary heart disease (CHD) patients, to provide a new, highly sensitive model which could be used in clinical practice to identify patients at T2DM risk.
methodsThis study considered the 462 patients of the CORDIOPREV study (CHD patients) who were not diabetic at the beginning of the intervention. In total, 107 of them developed T2DM after a median follow-up of 60 months. They were diagnosed using the American Diabetes Association criteria. A novel lipidomic methodology employing liquid chromatography (LC) separation followed by HESI, and detection by mass spectrometry (MS) was used to annotate the lipids at the isomer level. The patients were then classified into a Training and a Validation Set (60-40). Next, a Random Survival Forest (RSF) was carried out to detect the lipidic isomers with the lowest prediction error, these lipids were then used to build a Lipidomic Risk (LR) score which was evaluated through a Cox. Finally, a production model combining the clinical variables of interest, and the lipidic species was carried out.
resultsLC-tandem MS annotated 440 lipid species. From those, the RSF identified 15 lipid species with the lowest prediction error. These lipids were combined in an LR score which showed association with the development of T2DM. The LR hazard ratio per unit standard deviation was 2.87 and 1.43, in the Training and Validation Set respectively. Likewise, patients with higher LR Score values had lower insulin sensitivity (P = 0.006) and higher liver insulin resistance (P = 0.005). The receiver operating characteristic (ROC) curve obtained by combining clinical variables and the selected lipidic isomers using a generalised lineal model had an area under the curve (AUC) of 81.3%.
conclusionOur study showed the potential of comprehensive lipidomic analysis in identifying patients at risk of developing T2DM. In addition, the lipid species combined with clinical variables provided a new, highly sensitive model which can be used in clinical practice to identify patients at T2DM risk. Moreover, these results also indicate that we need to look closely at isomers to understand the role of this specific compound in T2DM development. Trials registration NCT00924937.
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