LIVE WEBINAR
Live: Unlocking Heart Health: How Metabolomics is Transforming the Early Detection of Myocardial Infarction
Imminent myocardial infarction, commonly known as a heart attack, occurs when blood flow to a part of the heart muscle is severely reduced or completely blocked, often due to a blood clot forming in a coronary artery narrowed by atherosclerosis. This condition can manifest through symptoms such as chest pain, shortness of breath, and radiating discomfort in the arms, jaw, or back. Risk factors include high blood pressure, high cholesterol, smoking, diabetes, obesity, and a sedentary lifestyle. Prompt recognition and intervention are crucial, as a myocardial infarction can lead to significant heart damage or even death if not treated quickly. Timely medical attention can restore blood flow and minimize the risk of complications, emphasizing the importance of awareness and understanding of this critical health emergency.
Metabolomics, the comprehensive study of metabolites within biological systems, has emerged as a powerful tool in cardiovascular research, particularly in the context of imminent myocardial infarction. By analyzing metabolic profiles, researchers can identify specific biomarkers associated with heart disease, enabling earlier detection and improved risk assessment of impending heart attacks. This approach provides insights into the biochemical changes that precede myocardial infarction, such as alterations in lipid metabolism, energy production, and inflammatory pathways. Furthermore, metabolomics facilitates the understanding of individual responses to therapies, paving the way for personalized medicine in cardiovascular care. As researchers continue to explore the intricate connections between metabolism and heart health, metabolomics stands to significantly enhance early intervention strategies and therapeutic developments in the fight against cardiovascular diseases.
In this webinar, Johan Sundström, MD PhD FESC and Stefan Gustafsson, PhD will discuss their latest publication that explores biomarkers of imminent myocardial infarction. Their multiomic research explored protein and metabolite biomarkers that were associated with risk of imminent myocardial infarction and created a prediction model that could be used for early identification.
You will learn:
- About specific biomarkers associated with imminent myocardial infarction, enhancing early detection.
- Understand the role of metabolites and proteins in assessing the risk of heart attacks.
- Explore the prediction model developed for imminent myocardial infarction based on clinical and biomarker data.
- Gain insights into how the findings can improve primary prevention strategies for cardiovascular diseases.
- Understand how to design a successful cohort study
Program
Speakers
Johan Sundström, MD Ph.D. FESC
Professor of Epidemiology at Uppsala University
Johan Sundström, MD PhD FESC, is a Professor of Epidemiology at Uppsala University, Uppsala, Sweden, and Honorary Professor at The George Institute for Global Health, University of New South Wales, Sydney, Australia. With experience from the Framingham Heart Study and the George Institute for Global Health, he currently heads Uppsala University’s Clinical Epidemiology research group and leads randomized clinical trials, cohort studies, and national and international cohort consortia; and the Anders Wiklöf Institute for Heart Research (uu.se/awi), developing digital health tools and machine learning methods for improving clinical research and care. He is a specialist in internal medicine and cardiology with clinical practice in the heart failure team at the Department of Cardiology of Uppsala University Hospital. He has co-authored >400 peer-reviewed articles, textbook chapters and textbooks. His work has mostly affected cardiovascular prevention and hypertension care.
Stefan Gustafsson, Ph.D.
Bioinformatician at Uppsala University
Stefan Gustafsson, PhD is a Researcher at Uppsala University, Uppsala, Sweden. His work mainly focuses on cardiovascular disease, applying classical statistical methods well as machine learning methods using cohort studies, registry-based data, and electronic health records.
Dr. Natasa Giallourou, Ph.D.
Field Metabolomics Scientist at Metabolon
Dr. Natasa Giallourou is a Field Metabolomics Scientist supporting Metabolon’s International Business activities. She provides scientific counsel for metabolomics applications in the biopharma and academic sectors. Natasa obtained her Ph.D. in Metabolomics from the University of Reading and holds an M.Sc. in Nutrition and Health from Wageningen University and a B.Sc. in Biology from the University of Leeds.
Prior to joining Metabolon, Natasa served as a Marie Skłodowska-Curie Postdoctoral Fellow at biobank.cy. Her research projects involved integrating metabolomic data with other omics data in population-based studies, with a focus on identifying biomarkers for complex diseases. She has also worked as a postdoctoral research associate at Imperial College London, where she specialized in utilizing metabolic phenotyping to address global health challenges, particularly in the field of public health nutrition.
Natasa sits on the Board of Directors of the International Metabolomics Society and is also an advisor to the Early-career Member’s Network for young metabolomics scientists.
