Network-based gene expression biomarkers for cold and heat patterns of rheumatoid arthritis in traditional chinese medicine.
Evid Based Complement Alternat Med
; 2012: 203043, 2012.
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| MEDLINE
| ID: mdl-22536280
ABSTRACT
IN TRADITIONAL CHINESE MEDICINE (TCM), PATIENTS WITH RHEUMATOID ARTHRITIS (RA) CAN BE CLASSIFIED INTO TWO MAIN PATTERNS cold-pattern and heat-pattern. This paper identified the network-based gene expression biomarkers for both cold- and heat-patterns of RA. Gene expression profilings of CD4+ T cells from cold-pattern RA patients, heat-pattern RA patients, and healthy volunteers were obtained using microarray. The differentially expressed genes and related networks were explored using DAVID, GeneSpring software, and the protein-protein interactions (PPI) method. EIF4A2, CCNT1, and IL7R, which were related to the up-regulation of cell proliferation and the Jak-STAT cascade, were significant gene biomarkers of the TCM cold pattern of RA. PRKAA1, HSPA8, and LSM6, which were related to fatty acid metabolism and the I-κB kinase/NF-κB cascade, were significant biomarkers of the TCM heat-pattern of RA. The network-based gene expression biomarkers for the TCM cold- and heat-patterns may be helpful for the further stratification of RA patients when deciding on interventions or clinical trials.
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