Metabolomic Analysis of Patients with Coronary Artery Disease and Acute Myocardial Infarction by Using Nuclear Magnetic Resonance Spectroscopy
7 affiliations
- 1Department of Internal Medicine and Cardiology, Medical School Theodor Fontane, University Hospital Ruppin-Brandenburg, 16816 Neuruppin, Germany
- 2Center for Translational Medicine, Brandenburg Medical School Theodor Fontane, 14770 Brandenburg an der Havel, Germany
- 3Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, 16816 Neuruppin, Germany
- 4Department of Gastroenterology, Diabetology and Hepatology, Center for Internal Medicine II, University Hospital Brandenburg an der Havel, Medical School Theodor Fontane, 14770 Brandenburg an der Havel, Germany
- 53rd Department of Cardiology, Medical School, “Sotiria’’ Chest Disease Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece
- 6Medical Department II, Marien Hospital Herne, Ruhr-University of Bochum, 44625 Herne, Germany
- 7lifespin GmbH, 93053 Am BioPark 13, Regensburg, Germany
Abstract
This cross-sectional exploratory study investigates the potential of metabolomics to differentiate between stable coronary artery disease (CAD) and acute myocardial infarction (AMI) through Nuclear Magnetic Resonance (NMR) spectroscopic analysis. The study identifies distinct metabolic profiles for each condition, revealing significant variations in metabolite levels, particularly lactic acid, which is a key metabolic product of anaerobic glycolysis, emerges as a prominent marker in AMI patients, reflecting acute ischemic stress and providing insight into adverse outcomes associated with high lactate levels. Another metabolite found in the present study was hypoxanthine, which is key biomarker for myocardial ischemia. These findings underscore the potential of metabolomics in combination with pathway analysis in distinguishing between CAD and AMI and highlight the metabolic dysregulation that occurs in these diseases. Our results suggest that these metabolites could serve as potential biomarkers, paving the way for personalized prognostic and diagnostic strategies. Further large-scale studies are necessary to validate these findings and incorporate them into clinical practice.
Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s12265-026-10866-5.
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BibTeX
@article{pagonas2026metabolomic,
title = {{Metabolomic Analysis of Patients with Coronary Artery Disease and Acute Myocardial Infarction by Using Nuclear Magnetic Resonance Spectroscopy}},
author = {Nikolaos Pagonas and Werner Dammermann and Gerasimos Siasos and Sawa Kostin and Benjamin Sasko and Philipp Sotiriou and Selina Strathmeyer and Steffen Heelemann},
journal = {Journal of Cardiovascular Translational Research},
year = {2026},
month = nov,
doi = {10.1007/s12265-026-10866-5},
url = {https://doi.org/10.1007/s12265-026-10866-5},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Metabolomic Analysis of Patients with Coronary Artery Disease and Acute Myocardial Infarction by Using Nuclear Magnetic Resonance Spectroscopy
AU - Nikolaos Pagonas
AU - Werner Dammermann
AU - Gerasimos Siasos
AU - Sawa Kostin
AU - Benjamin Sasko
AU - Philipp Sotiriou
AU - Selina Strathmeyer
AU - Steffen Heelemann
PY - 2026
DA - 2026/11/03
JO - Journal of Cardiovascular Translational Research
DO - 10.1007/s12265-026-10866-5
UR - https://doi.org/10.1007/s12265-026-10866-5
AB - This cross-sectional exploratory study investigates the potential of metabolomics to differentiate between stable coronary artery disease (CAD) and acute myocardial infarction (AMI) through Nuclear Magnetic Resonance (NMR) spectroscopic analysis. The study identifies distinct metabolic profiles for each condition, revealing significant variations in metabolite levels, particularly lactic acid, which is a key metabolic product of anaerobic glycolysis, emerges as a prominent marker in AMI patients, reflecting acute ischemic stress and providing insight into adverse outcomes associated with high lactate levels. Another metabolite found in the present study was hypoxanthine, which is key biomarker for myocardial ischemia. These findings underscore the potential of metabolomics in combination with pathway analysis in distinguishing between CAD and AMI and highlight the metabolic dysregulation that occurs in these diseases. Our results suggest that these metabolites could serve as potential biomarkers, paving the way for personalized prognostic and diagnostic strategies. Further large-scale studies are necessary to validate these findings and incorporate them into clinical practice. Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s12265-026-10866-5.
SN - 1937-5387
SN - 1937-5395
ER -