In the present study, we applied gene expression profiling of peripheral CD4+ T cells from cold-pattern RA patients, heat-pattern RA patients, and healthy volunteers to identify the differentially expressed genes and related networks for cold- and heat-pattern RA patients based on the differences from healthy persons and to further reveal the network-based biomarkers for the cold and heat patterns using the Database for Annotation, Visualization and Integrated Discovery (DAVID), the GeneSpring Software, and a PPI (protein-protein interactions) analysis. The gene discussed is CD4; the disease is rheumatoid arthritis.