Microglial Activation of GLP-1R Signaling in Neuropathic Pain Promotes Gene Expression Adaption Involved in Inflammatory Responses

Figure 3

Weighted gene coexpression network analysis of microglial glucagon-like peptide 1 receptor signaling, hierarchical clustering dendrogram of the samples based on paw withdrawal latency, ligation, injury, pain, and anxiety (a), topological overlap matrix (TOM) among identified genes (b), average linkage hierarchical clustering dendrogram of the genes. Input was the TOM based on dissimilarity. Modules, designated by color code, are the branches of the clustering tree (c), correlation between module character and pathological traits. Each color represents the correlated degree. The values are presented as “Pearson ( value),” and color-coded by the degree of the correlation (red = positive correlation; green = negative correlation) (d), unsupervised hierarchical clustering heat map, color-coded by the degree of the correlation (red = positive correlation; blue = negative correlation) (e), pathway analysis using the Kyoto Encyclopedia of Genes and Genomes showing the top pathways enriched in the gene sets of the brown, distance between nodes is determined by value and gene counts (f).

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