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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Authors | Cheng Lu, Xuyan Niu, Cheng Xiao, Gao Chen, Qinglin Zha, Hongtao Guo, Miao Jiang, Aiping Lu |
Journal | Evidence-based complementary and alternative medicine : eCAM
(Evid Based Complement Alternat Med)
Vol. 2012
Pg. 203043
( 2012)
ISSN: 1741-4288 [Electronic] United States |
PMID | 22536280
(Publication Type: Journal Article)
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