AIMC Topic: Cardiometabolic Risk Factors

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Lipidomic profiling of human adiposomes identifies specific lipid shifts linked to obesity and cardiometabolic risk.

JCI insight Jun 23, 2025
BACKGROUNDObesity, a growing health concern, often leads to metabolic disturbances, systemic inflammation, and vascular dysfunction. Emerging evidence suggests that adipose tissue-derived extracellular vesicles (adiposomes) may propagate obesity-rela...
Cardiovascular Diseases Middle Aged Extracellular Vesicles Female Adult Male Adipose Tissue Lipid Metabolism Lipidomics Cardiometabolic Risk Factors Insulin Resistance Obesity Lipids Humans
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Development and validation of cardiometabolic risk predictive models based on LDL oxidation and candidate geromarkers from the MARK-AGE data.

Mechanisms of ageing and development Sep 14, 2024
The predictive value of the susceptibility to oxidation of LDL particles (LDLox) in cardiometabolic risk assessment is incompletely understood. The main objective of the current study was to assess its relationship with other relevant biomarkers and ...
Female Risk Factors Aged Humans Machine Learning Biomarkers Aging Cardiovascular Diseases Middle Aged Risk Assessment Adult Cross-Sectional Studies Male Oxidation-Reduction Hypertension Cardiometabolic Risk Factors Obesity Lipoproteins, LDL
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Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts.

BMC public health Aug 6, 2024
BACKGROUND: The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptualized as the cardiometabolic continuum (CMC), sequence of cardiovascular events that stem from gene-environmental interactions, unhealthy lifestyle i...
Brazil Cohort Studies Longitudinal Studies Cardiometabolic Risk Factors UK Biobank Sex Factors United Kingdom Male Cardiovascular Diseases Middle Aged Female Aged Adult Humans Machine Learning
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Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study.

Scientific reports May 13, 2021
Metabolic syndrome (MetS) is one of the most important risk factors for cardiovascular disease. The 11p23.3 chromosomal region plays a potential role in the pathogenesis of MetS. The present study aimed to assess the association between 18 single nuc...
Humans Metabolic Syndrome Iran Membrane Transport Proteins Genetic Predisposition to Disease Machine Learning Apolipoprotein A-V Polymorphism, Single Nucleotide Female Cardiometabolic Risk Factors RNA-Binding Proteins Male
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Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.

Cardiovascular diabetology Jan 29, 2021
BACKGROUND: We sought to evaluate the association of metabolic syndrome (MetS) and computed tomography (CT)-derived cardiometabolic biomarkers (non-alcoholic fatty liver disease [NAFLD] and epicardial adipose tissue [EAT] measures) with long-term ris...
Non-alcoholic Fatty Liver Disease Prognosis Los Angeles Tomography, X-Ray Computed Heart Diseases Middle Aged Female Time Factors Predictive Value of Tests Cardiometabolic Risk Factors Risk Assessment Humans Metabolic Syndrome Aged Radiographic Image Interpretation, Computer-Assisted Adiposity Prevalence Prospective Studies Adipose Tissue Aged, 80 and over Registries Pericardium Deep Learning Male
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Food Liking-Based Diet Quality Indexes (DQI) Generated by Conceptual and Machine Learning Explained Variability in Cardiometabolic Risk Factors in Young Adults.

Nutrients Mar 25, 2020
The overall pattern of a diet (diet quality) is recognized as more important to health and chronic disease risk than single foods or food groups. Indexes of diet quality can be derived theoretically from evidence-based recommendations, empirically fr...
Nutrition Assessment Young Adult Cardiometabolic Risk Factors Diet Feeding Behavior Humans Adult Public Health Surveillance Adolescent Machine Learning Food Quality Male Diet Surveys Female
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Integration of metabolomics and machine learning for precise management and prevention of cardiometabolic risk in Asians.

Clinical nutrition (Edinburgh, Scotland) Jul 1, 2025
Rapid changes in dietary patterns have led to a rise in cardiometabolic diseases (CMDs) worldwide, highlighting the urgent need for effective dietary strategies to address the health issues. Compared to Caucasians, Asians are more susceptible to CMDs...
Machine Learning Biomarkers Cardiovascular Diseases Humans Cardiometabolic Risk Factors Metabolomics Asian People
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