4.6 Review

Lipid nutrition: In silico studies and undeveloped experiments

Journal

PROGRESS IN LIPID RESEARCH
Volume 85, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.plipres.2021.101142

Keywords

Amplify; Destabilizing; Eicosanoid; Electronegative LDL; Expectation; Food energy; Highly unsaturated fatty acid (HUFA); Inflammation; lipoprotein; Macrophage; n-3 and n-6 HUFA; Non-esterified fatty acid (NEFA); Phenotype; Receptor; Tipping point; Unsaturated

Ask authors/readers for more resources

This review focuses on the role of lipids and lipid-binding proteins in cardiovascular disease, emphasizing the importance of lipid-protein interactions and the varying effects of different types of fatty acids on cardiovascular health.
This review examines lipids and lipid-binding sites on proteins in relation to cardiovascular disease. Lipid nutrition involves food energy from ingested fatty acids plus fatty acids formed from excess ingested carbohydrate and protein. Non-esterified fatty acids (NEFA) and lipoproteins have many detailed attributes not evident in their names. Recognizing attributes of lipid-protein interactions decreases unexpected outcomes. Details of double bond position and configuration interacting with protein binding sites have unexpected consequences in acyltransferase and cell replication events. Highly unsaturated fatty acids (HUFA) have n-3 and n-6 motifs with documented differences in intensity of destabilizing positive feedback loops amplifying pathophysiology. However, actions of NEFA have been neglected relative to cholesterol, which is co-produced from excess food. Native low-density lipoproteins (LDL) bind to a high-affinity cell surface receptor which poorly recognizes biologically modified LDLs. NEFA increase negative charge of LDL and decrease its processing by normal receptors while increasing processing by scavenger receptors. A positive feedback loop in the recruitment of monocytes and macrophages amplifies chronic inflammatory pathophysiology. Computer tools combine multiple components in lipid nutrition and predict balance of energy and n-3:n-6 HUFA. The tools help design and execute precise clinical nutrition monitoring that either supports or disproves expectations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available