Abstract
Aging is a critical risk factor for developing many diseases such as skin diseases. Aging skin is caused by the decline of regenerative potential and function of tissues. Here, we aim to discover the biological function and pathways of the skin from aged people. The GSE39170 dataset was originally created by the Illumina Genome Analyzer II (Homo sapiens). The biological pathways were analyzed by the Kyoto Encyclopedia of Genes and Genomes pathway (KEGG), Gene Ontology (GO), and Reactome. KEGG and GO results showed the extracellular matrices (ECMs) were mostly affected in the aging skin. Moreover, we discovered the top ten interacting proteins including FBN1, SPARC, THBS1, DCN, COL1A2, VCAN, LOX, SERPING1, FSTL1, and FBLN5 were involved in the aging skin. Further, we predicted several inhibitors that had the ability to block the aging process by L1000fwd analysis. Thus, this study provides further insights into the mechanism of aging skin.