LC-MS-based metabolomic profiling identified distinct lipid metabolic signatures associated with early myocardial ischemia, with 13Z-docosenamide, PC (16:0/22:5), and PC (18:1/20:4) demonstrating strong diagnostic potential (AUC = 0.941; sensitivity 92%; specificity 93%) as early biomarkers for noninvasive detection.
Key Findings
Results
Untargeted plasma metabolomic profiling identified 13 metabolites significantly altered in both control and ischemia groups following exercise, while 9 metabolites changed exclusively in the ischemia group.
43 patients were enrolled after screening 89 patients with suspected myocardial ischemia at Kyungpook National University Hospital
Control group: n = 24 (no angiographic stenosis); case group: n = 19 (>70% stenosis in vessels with diameter ≥2.5 mm)
Plasma samples were collected before and 10 minutes after exercise stress testing using the Bruce protocol
Untargeted LC-QTOF/MS profiling was performed with multivariate analyses including PCA and OPLS-DA to identify differential metabolites
Results
Several phosphatidylcholine (PC) species and 13Z-docosenamide differed significantly between the ischemia and control groups following exercise.
PC species identified as significantly different included PC (O-18:5/2:0), PC (O-16:0/22:4), PC (O-18:4/18:2), and PC (20:4/20:4)
13Z-docosenamide was among the notably altered metabolites distinguishing ischemia from control patients
Multivariate modeling revealed distinct metabolic differences between the two groups
These lipid metabolites reflect hypoxia-mediated energy shifts and oxidative stress according to pathway analysis
Results
Three key metabolites — 13Z-docosenamide, PC (16:0/22:5), and PC (18:1/20:4) — demonstrated excellent discriminative performance for detecting exercise-induced myocardial ischemia.
ROC analysis yielded an area under the curve of 0.941 (95% CI: 0.865–1.000)
Sensitivity was 92% and specificity was 93%
These three metabolites were identified via receiver operating characteristic analysis as the key discriminators
The authors conclude these metabolites 'demonstrated strong diagnostic potential and may serve as early biomarkers for the noninvasive detection of myocardial ischemia'
Results
Pathway analysis indicated that exercise-induced myocardial ischemia was associated with alterations in phospholipid, sphingolipid, and fatty acid metabolism.
The metabolic pathway alterations were interpreted as reflecting hypoxia-mediated energy shifts and oxidative stress
Phospholipid metabolism, sphingolipid metabolism, and fatty acid metabolism were the primary pathways implicated
These findings are consistent with ischemia-related disruptions in lipid homeostasis during exercise stress
Background
Conventional diagnostic methods have limitations in detecting early-stage myocardial ischemia, motivating the use of metabolomics as a noninvasive approach.
Conventional methods with stated limitations include electrocardiography, coronary angiography, and myocardial perfusion imaging
The study used exercise stress testing based on the Bruce protocol as the provocative model for ischemia induction
LC-QTOF/MS-based metabolomics was selected as an untargeted, noninvasive plasma profiling approach
The authors note that 'further validation in independent cohorts might be required to confirm their clinical applicability'
Han H, Gwon M, Lee J, Park J, Lee H, Yoon Y, et al.. (2026). Plasma metabolomic profiling reveals lipid biomarkers for early detection of exercise-induced myocardial ischemia.. Medicine. https://doi.org/10.1097/MD.0000000000047995