Based on bioinformatics and machine learning techniques, we obtained three key CRGs, SIRT1, ARNTL and ATF4, which are potential risk genes for skin aging and are also associated with the alteration of immune microenvironment in skin aging. Here, BMAL1 is linked to skin aging.