From multi-omics approaches to personalized medicine in myocardial infarction
Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial
necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe …
necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe …
Recent advances in cardiovascular disease research driven by metabolomics technologies in the context of systems biology
B Zhang, T Schmidlin - npj Metabolic Health and Disease, 2024 - nature.com
Traditional risk factors and biomarkers of cardiovascular diseases (CVD) have been mainly
discovered through clinical observations. Nevertheless, there is still a gap in knowledge in …
discovered through clinical observations. Nevertheless, there is still a gap in knowledge in …
Interplay between plasma glycine and branched-chain amino acids contributes to the development of hypertension and coronary heart disease
M Dziedzic, E Józefczuk, TJ Guzik, M Siedlinski - Hypertension, 2024 - Am Heart Assoc
BACKGROUND: Higher levels of plasma glycine are linked to a reduced risk, while
increased levels of total branched-chain amino acids (tBCAAs) are associated with a higher …
increased levels of total branched-chain amino acids (tBCAAs) are associated with a higher …
Targeted metabolomic profiling of acute ST-segment elevation myocardial infarction
SS Markin, EA Ponomarenko, YA Romashova… - Scientific Reports, 2024 - nature.com
Myocardial infarction is a major cause of morbidity and mortality worldwide. Metabolomic
investigations may be useful for understanding the pathogenesis of ST-segment elevation …
investigations may be useful for understanding the pathogenesis of ST-segment elevation …
Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function
S Yu, S Han, M Shi, M Harada, J Ge, X Li, X Cai… - Metabolites, 2024 - mdpi.com
Accurate risk prediction for myocardial infarction (MI) is crucial for preventive strategies,
given its significant impact on global mortality and morbidity. Here, we propose a novel deep …
given its significant impact on global mortality and morbidity. Here, we propose a novel deep …
Circulating Metabolite Profiles and Risk of Coronary Heart Disease Among Racially and Geographically Diverse Populations
BACKGROUND: Metabolomics may reveal novel biomarkers for coronary heart disease
(CHD). We aimed to identify circulating metabolites and construct a metabolite risk score …
(CHD). We aimed to identify circulating metabolites and construct a metabolite risk score …
MetaHD: a multivariate meta-analysis model for metabolomics data
Motivation Meta-analysis methods widely used for combining metabolomics data do not
account for correlation between metabolites or missing values. Within-and between-study …
account for correlation between metabolites or missing values. Within-and between-study …
Metabolomic data presents challenges for epidemiological meta-analysis: a case study of childhood body mass index from the ECHO consortium
Introduction Meta-analyses across diverse independent studies provide improved
confidence in results. However, within the context of metabolomic epidemiology, meta …
confidence in results. However, within the context of metabolomic epidemiology, meta …
[PDF][PDF] Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function. Metabolites 2024, 14, 258
S Yu, S Han, M Shi, M Harada, J Ge, X Li, X Cai… - 2024 - pdfs.semanticscholar.org
Accurate risk prediction for myocardial infarction (MI) is crucial for preventive strategies,
given its significant impact on global mortality and morbidity. Here, we propose a novel deep …
given its significant impact on global mortality and morbidity. Here, we propose a novel deep …