Abstract 15589: Mitochondrial Metabolites Predict Cardiovascular Outcomes and Heart Failure in People With Type 2 Diabetes Mellitus and Vascular Disease: A Tecos Substudy
Bibliographic record
Abstract
Introduction: People with type 2 diabetes mellitus (DM) have a large burden of cardiovascular (CV) morbidity and mortality, but the likelihood of these outcomes varies and existing risk calculators do not fully capture risk for individuals. Hypothesis: Circulating metabolites characterizing mitochondrial dysfunction may be novel predictors for CV outcomes. Methods: We performed targeted mass-spectrometry metabolite profiling (45 acylcarnitines, 15 amino acids) on baseline plasma samples from 568 cases (498 with major adverse cardiac events (MACE) and 131 with incident hospitalization for heart failure (hHF)) and 568 matched controls (without events) from the patients assigned to placebo in Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS). Matching was based on history of HF, coronary artery disease, BMI, hemoglobin A1C, creatinine, low-density lipoprotein cholesterol, fasting status and ejection fraction. Principal components analysis (PCA) was used for dimensionality reduction, and conditional logistic regression to determine association of PCA factors with MACE or hHF and for individual metabolites within significant factors (false discovery rate q<0.05) Results: Of 12 PCA-derived metabolite factors, three were associated significantly with MACE or hHF; these factors were composed of: 1) short-chain dicarboxylacylcarnitines and long chain acylcarnitines (OR 1.50, q=0.03); 2) medium chain acylcarnitines (OR 1.28, q=0.001); 3) C5:1 and one medium-chain dicarboxylacylcarnitine (OR 1.17, q=0.03). Of these three factors, none were significantly associated with the individual components of MACE. Ten individual metabolites, including short- and medium-chain dicarboxylacylcarnitines and medium- and long-chain acylcarnitines, remained significantly associated with MACE (q<0.05). Two metabolites, one short-chain dicarboxylacylcarnitine and one medium-chain acylcarnitine were associated with hHF (q<0.05). Conclusions: Metabolites reporting on dysregulated mitochondrial fatty acid oxidation and endoplasmic reticulum stress are elevated in individuals with DM who progress to MACE and/or hHF. These biomarkers may improve CV risk prediction in DM patients and help highlight emerging risk mechanisms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".