Apr 17 2024Tsinghua University Press Recently published research used a methodological approach called bidirectional Mendelian randomization to understand more about these biomarkers and what they can tell doctors about heart attack risk. Bidirectional Mendelian randomization studies represent a robust methodological approach, with numerous advantages not commonly present in traditional research methodologies.
By using data sets from large-scale genome-wide association studies, researchers were able to cast a wide net to try and understand more about the role plasma metabolites play in myocardial infarction. The data source included 461,823 individuals of European descent. Of those, 20,917 individuals had myocardial infarction and 440,906 individuals did not. A total of 24,172,914 single nucleotide polymorphisms were identified in that data set to be associated with myocardial infarction.
Of the 14 plasma metabolite biomarkers identified in this study, 13 plasma metabolite biomarkers had never been identified as potential biomarkers associated with myocardial infarction before. These biomarkers offer a new option for developing diagnostic tests, routine screenings, and treatments for heart attack.
"Timely detection using metabolic signatures could usher in a new era of preventive cardiology, where interventions are tailored to an individual's metabolic profile. Furthermore, understanding the metabolic underpinnings of myocardial infarction will contribute to the development of point-of-care diagnostic tools, providing rapid and accessible assessments.
Heart Attack Metabolite Cardiology Diagnostic Hospital Metabolites Myocardial Infarction Research Technology
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