Network-based gene expression biomarkers for cold and heat patterns of rheumatoid arthritis in traditional chinese medicine.

Network-based gene expression biomarkers for cold and heat patterns of rheumatoid arthritis in traditional chinese medicine.
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DOI:
10.1155/2012/203043
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发表时间:
2012
期刊:
Evidence-based complementary and alternative medicine : eCAM
影响因子:
--
通讯作者:
Lu A
Lu A
中科院分区:
其他
文献类型:
--
作者:
Lu C;Niu X;Xiao C;Chen G;Zha Q;Guo H;Jiang M;Lu A

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在中医中,类风湿性关节炎(RA)患者可分为寒型和热型两大类。本文确定了基于网络的RA冷热型基因表达生物标记物。利用基因芯片获得冷型类风湿性关节炎患者、热型类风湿性关节炎患者和健康志愿者的CD4+T细胞的基因表达谱。利用David、GeneSpring软件和蛋白质-蛋白质相互作用(PPI)方法对差异表达基因及相关网络进行分析。EIF4A2、CCNT1和IL7R与细胞增殖上调和JAK-STAT级联相关,是RA中医寒证的重要基因标志物。PRKA1、HSPA8和LSM6与脂肪酸代谢和I-κB/NF-κB级联相关,是类风湿关节炎中医热证的重要生物标志物。基于网络的中医寒热证基因表达生物标志物可能有助于类风湿关节炎患者在决定干预或临床试验时的进一步分层。
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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