An experimental data mining strategy was adopted to analyze the expression profiles of mRNA transcripts of TLRs, NLRs, inflammasome components, inflammatory caspases, proinflammatory cytokines IL-1β and IL-18 in vasculature-related tissues by mining human expression sequence tag (EST) database (Fig. 1)(19 (link)), which resulted from cDNA cloning from various tissue cDNA libraries and DNA sequencing followed by sequence analysese and deposited in the National Institutes of Health (NIH)/National Center of Biotechnology Information (NCBI) Unigene (http://www.ncbi.nlm.nih.gov/sites/entrez?db=unigene)(20 (link)). The arbitrary units of the gene expression were calculated by normalizing the transcripts per million of gene of interest with that of house-keeping gene β-actin in any given tissue. The confidential intervals of the expression variation of house-keeping genes were generated by calculating the mean and 2 times the standard deviation of the arbitrary units of three randomly selected house-keeping genes normalized by β-actin in given tissues (legend of Fig. 22). If the expression variation of a given gene in various tissues was larger than the upper limit of the confidential intervals (the mean plus 2 times the standard deviations) of the house-keeping genes, the high expression levels of genes in the tissues were statistically significant. Any given gene transcript, if lower than one per million, was technically presented as no expression.