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基于网络的中医类风湿关节炎寒、热证基因表达标志物。

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

机构信息

Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Science, No. 16, Nanxiaojie, Dongzhimennei, Beijing 100700, China.

出版信息

Evid Based Complement Alternat Med. 2012;2012:203043. doi: 10.1155/2012/203043. Epub 2012 Mar 22.

DOI:10.1155/2012/203043
PMID:22536280
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3318903/
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.

摘要

在中医(TCM)中,类风湿关节炎(RA)患者可分为两种主要证型:寒证和热证。本文鉴定了 RA 寒证和热证的基于网络的基因表达生物标志物。采用微阵列技术获取寒证 RA 患者、热证 RA 患者和健康志愿者的 CD4+T 细胞基因表达谱。使用 DAVID、GeneSpring 软件和蛋白质-蛋白质相互作用(PPI)方法探索差异表达基因和相关网络。EIF4A2、CCNT1 和 IL7R 与细胞增殖和 Jak-STAT 级联的上调有关,是 RA 中医寒证的重要基因生物标志物。PRKAA1、HSPA8 和 LSM6 与脂肪酸代谢和 I-κB 激酶/NF-κB 级联有关,是 RA 中医热证的重要生物标志物。TCM 寒证和热证的基于网络的基因表达生物标志物可能有助于在决定干预或临床试验时对 RA 患者进行进一步分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/3b516c26f7ac/ECAM2012-203043.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/10bbef69b390/ECAM2012-203043.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/469e9ee8f977/ECAM2012-203043.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/7151b0d69516/ECAM2012-203043.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/c6a5bf677417/ECAM2012-203043.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/3b516c26f7ac/ECAM2012-203043.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/10bbef69b390/ECAM2012-203043.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/469e9ee8f977/ECAM2012-203043.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/7151b0d69516/ECAM2012-203043.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/c6a5bf677417/ECAM2012-203043.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5274/3318903/3b516c26f7ac/ECAM2012-203043.005.jpg

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