Objective: To implement bioinformatics analyses of the serum proteins and microRNA (miRNA) expression profiles about pediatric dilated cardiomyopathy (PDCM), to explore the pathogenesis. Methods: Differential analyses, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analyses were performed on serum proteins microarray data of PDCM. Partial differentially expressed miRNAs were selected from miRNA expression profile of PDCM, followed by target genes prediction, and shared genes acquisition by overlapping with differential serum proteins/genes to construct miRNA-mRNA matching relation. GO and KEGG pathways enrichment analyses of common genes were also carried out. Results: Differential proteins of PDCM were enriched to multiple GO terms, including regulation of cell adhesion and immune process, collagen-containing extracellular matrix, and etc. Differential proteins were enriched to 10 signal pathways, including chemokine signaling pathway, renin secretion, renin-angiotensin system, cytokine-cytokine receptor interaction, dilated cardiomyopathy, aldosterone synthesis and secretion and viral protein interaction with cytokine and cytokine receptor, etc. predicted target genes of 4 down-regulated miRNAs were overlapped with differential serum proteins/genes, and then 8 common genes were obtained, namely HSPD1, LIFR, RPS7, ANXA2, PDPK1, EIF4G2, AGT, and PRKCA. Eight common genes were enriched to multiple GO terms, including positive regulation of cardiac muscle hypertrophy, etc. and 13 signal pathways, such as aldosterone-regulated sodium reabsorption, aldosterone synthesis and secretion, adrenergic signaling in cardiomyocytes, mTOR signaling pathway, etc. Conclusion: Bioinformatics analyses of the serum proteins and miRNAs expression profiles about PDCM will benefit our further understanding the pathogenesis of the disease and provide clues for clinical diagnosis and treatment.