N6 methyladenosine (m6A) is a very rich mRNA modifier, which plays an
important role in biological processes such as lipid metabolism, autophagy,
macrophage activity and inflammatory response.However, the role of m6A regulator
in COPD remains unknown.In this study, the expression values of 23 m6A
methylation regulators were obtained by analyzing the gene expression matrix of
COPD patients and normal controls in GSE76925 data set.Eleven candidate m6A
regulators were selected by random forest model to construct nomination graph
model and predict the risk of COPD.The decision curve found that patients could
benefit from the nomination model constructed.By consensus cluster analysis, m6A
regulators in COPD patients were divided into two subtypes (clusterA and
clusterB) .The m6A pattern was quantified by principal component analysis algorithm.
It was found that the m6A score of patients in clusterA was higher than that of
clusterB.Differential genes (DEGs) were screened by m6A typing and the differential
genes were analyzed by Kyoto genome and genome Encyclopedia (KEGG). It was
found that the differential genes were mainly enriched in NF-kB and TNF signal
pathway.In addition, through gene and immune cell correlation analysis, it was found
that the patients in m6A clusterB were related to the immunity dominated by
neutrophil and eosinophil traps,however the patients in clusterA are related to the
immunity dominated by monocyte traps.Therefore, the discovery of m6A pattern
through m6A typing related genes and immune cells may be a new strategy to guide
the treatment of COPD.