Lipid metabolism dysfunction induced by age-dependent DNA methylation accelerates aging.

Area of Science:

• Molecular Biology
• Genetics
• Metabolism

Background:

• Epigenetic alterations and metabolic dysfunction are key aging hallmarks.
• The interplay between these factors in mammalian aging is not well understood.

Purpose of the Study:

• To investigate the role of ELOVL fatty acid elongase 2 (Elovl2) in aging.
• To explore the connection between epigenetic changes, lipid metabolism, and aging phenotypes.

Main Methods:

• Utilized artificial intelligence for ELOVL2 protein structure and substrate interaction prediction.
• Assessed the impact of impaired Elovl2 function on lipid synthesis, endoplasmic reticulum stress, and mitochondrial function.
• Investigated the rescue of age-related macular degeneration (AMD) phenotypes in human retinal pigmental epithelial (RPE) cells.

Main Results:

• Epigenetic alterations in Elovl2 are highly correlated with age prediction.
• Impaired Elovl2 function disrupts lipid synthesis, increases ER stress, and causes mitochondrial dysfunction, leading to aging phenotypes.
• Restoration of mitochondrial activity rescued AMD phenotypes in RPE cells, suggesting conserved mechanisms.

Conclusions:

• An epigenetic-metabolism axis contributes to aging.
• Elovl2 plays a crucial role in regulating lipid metabolism and aging.
• AI-driven structure-function studies are powerful tools for aging research.