Mettl14 mediates the inflammatory response of macrophages in atherosclerosis through the NF-κB/IL-6 signaling pathway.
Yang ZhengYunqi LiXianwen RanDi WangXianghui ZhengMaomao ZhangBo YuYong SunJian WuPublished in: Cellular and molecular life sciences : CMLS (2022)
The inflammatory response of macrophages has been reported to play a critical role in atherosclerosis. The inflammatory state of macrophages is modified by epigenetic reprogramming. m 6 A RNA methylation is an epigenetic modification of RNAs. However, little is known about the potential roles and underlying mechanisms of m 6 A modification in macrophage inflammation. Herein, we showed that the expression of the m 6 A modification "writer" Mettl14 was increased in coronary heart disease and LPS-stimulated THP-1 cells. Knockdown of Mettl14 promoted M2 polarization of macrophages, inhibited foam cell formation and decreased migration. Mechanistically, the expression of Myd88 and IL-6 was decreased in Mettl14 knockdown cells. Through m 6 A modification, Mettl14 regulated the stability of Myd88 mRNA. Furthermore, Myd88 affected the transcription of IL-6 via the distribution of p65 in nuclei rather than directly regulating the expression of IL-6 through m 6 A modification. In vivo, Mettl14 gene knockout significantly reduced the inflammatory response of macrophages and the development of atherosclerotic plaques. Taken together, our data demonstrate that Mettl14 plays a vital role in macrophage inflammation in atherosclerosis via the NF-κB/IL-6 signaling pathway, suggesting that Mettl14 may be a promising therapeutic target for the clinical treatment of atherosclerosis.
Keyphrases
- inflammatory response
- signaling pathway
- induced apoptosis
- lps induced
- toll like receptor
- oxidative stress
- pi k akt
- poor prognosis
- lipopolysaccharide induced
- cell cycle arrest
- cardiovascular disease
- dna methylation
- nuclear factor
- binding protein
- gene expression
- transcription factor
- genome wide
- adipose tissue
- endoplasmic reticulum stress
- epithelial mesenchymal transition
- cell proliferation
- type diabetes
- immune response
- risk assessment
- electronic health record
- single cell
- artificial intelligence
- long non coding rna
- deep learning
- human health
- genome wide identification
- replacement therapy