The expression of splicing machinery components is differentially altered in the liver of individuals with steatosis. (A) Unsupervised clustering analysis of the expression levels of the splicing machinery in patients with steatosis. This bioinformatic approach identified three molecularly defined populations of patients with steatosis (Clusters A, B, and C). (B) Specific changes of certain components of the splicing machinery defined each cluster of patients with steatosis. The three molecularly defined clusters of patients with steatosis were associated with the alteration in the expression of certain spliceosome components and splicing factors compared with patients without steatosis or included in the other clusters. The alteration of selected factors (within the frame) was able to classify patients in the three clusters with an AUC of 1, using the classification algorithm Random Forest. Data indicate mRNA expression levels (adjusted by an NF calculated from the expression level of HPRT and ACTB) in each cluster (A, B, and C) compared with the rest of patients, with and without steatosis (NON ST). Values represent the means ± SEM. Asterisks indicate values that significantly differ between groups (t test: *P < 0.05, **P < 0.01, ***P < 0.001).