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Multi-Omics Interpretation of Anti-Aging Mechanisms for ω-3 Fatty Acids.

Shu-Hui XieHui LiJing-Jing JiangYuan QuanHong-Yu Zhang
Published in: Genes (2021)
Aging is one of the hottest topics in biomedicine. Previous research suggested that ω-3 fatty acids have preventive effects on aging. However, most of previous studies on the anti-aging effects of ω-3 fatty acids are focused on clinical observations, and the anti-aging mechanisms of ω-3 fatty acids have not been fully elucidated. This stimulated our interest to use multi-omics data related to ω-3 fatty acids in order to interpret the anti-aging mechanisms of ω-3 fatty acids. First, we found that ω-3 fatty acids can affect methylation levels and expression levels of genes associated with age-related diseases or pathways in humans. Then, a Mendelian randomization analysis was conducted to determine whether there is a causal relationship between the effect of ω-3 fatty acids on blood lipid levels and variation in the gut microbiome. Our results indicate that the impact of ω-3 fatty acids on aging is partially mediated by the gut microbiome (including Actinobacteria, Bifidobacteria and Streptococcus). In conclusion, this study provides deeper insights into the anti-aging mechanisms of ω-3 fatty acids and supports the dietary supplementation of ω-3 fatty acids in aging prevention.
Keyphrases
  • fatty acid
  • gene expression
  • dna methylation
  • poor prognosis
  • pseudomonas aeruginosa
  • genome wide
  • artificial intelligence
  • deep learning
  • biofilm formation
  • data analysis