Cross-sectional association between blood cholesterol and calcium levels in genetically diverse strains of mice.
Cody M CousineauKaelin LoftusGary A ChurchillDave E BridgesPublished in: bioRxiv : the preprint server for biology (2023)
Genetically diverse outbred mice allow for the study of genetic variation in the context of high dietary and environmental control. Using a machine learning approach we investigated clinical and morphometric factors that associate with serum cholesterol levels in 840 genetically unique mice of both sexes, and on both a control chow and high fat high sucrose diet. We find expected elevations of cholesterol in male mice, those with elevated serum triglycerides and/or fed a high fat high sucrose diet. The third strongest predictor was serum calcium which correlated with serum cholesterol across both diets and sexes (r=0.39-0.48). This is in-line with several human cohort studies which show associations between calcium and cholesterol, and calcium as an independent predictor of cardiovascular events.
Keyphrases
- low density lipoprotein
- cardiovascular events
- machine learning
- high fat diet induced
- weight loss
- cross sectional
- physical activity
- endothelial cells
- coronary artery disease
- cardiovascular disease
- type diabetes
- insulin resistance
- deep learning
- adipose tissue
- mass spectrometry
- climate change
- atomic force microscopy
- induced pluripotent stem cells