Research Center for Traditional Chinese Medicine Complexity System, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong, Shanghai 201203, China.
Evid Based Complement Alternat Med. 2013;2013:751341. doi: 10.1155/2013/751341. Epub 2013 Mar 10.
Traditional Chinese medicine (TCM) ZHENG as the key pathological principle is to understand the human homeostasis and guide TCM treatment. Here, circulating microRNAs (miRNAs) were utilized to differentiate between ZHENGs including liver-gallbladder dampness-heat syndrome (LGDHS) and liver-kidney yin deficiency syndrome (LKYDS) in chronic hepatitis B (CHB). Sera samples of CHB patients with LGDHS (n = 35), LKYDS (n = 24), and healthy controls (Ctrls, n = 21) were analyzed by microarray and real-time RT-PCR. Receiver-operator characteristic (ROC) curves were established to evaluate the levels of serum miRNA for discriminating LGDHS and LKYDS. The target genes of miRNAs were predicted by TargetScan. Gene Ontology (GO) and pathways were analyzed using DAVID tool. The results showed that 22 miRNAs were differentially expressed between LGDHS and LKYDS (fold change >2.0 and P < 0.01). Circulating miR-583 and miR-663 were significantly higher (P < 0.001) in CHB patients with LGDHS than those with LKYDS and Ctrls. ROC curve analysis revealed that miR-583 and miR-663 were sensitive and specific enough to distinguish LGDHS from LKYDS. Pathway enrichment analysis indicated that 354 putative targets for miR-583 and 68 putative targets for miR-663 were mainly involved in Axon guidance, Neurotrophin, and MAPK signaling pathway. miR-583 and miR-663 may be potential markers for ZHENG differentiation in CHB.
中医(TCM)证作为关键的病理原则,用于理解人体的内稳态并指导 TCM 治疗。在这里,循环 microRNAs(miRNAs)被用于区分乙型肝炎慢性(CHB)患者的证,包括肝胆湿热证(LGDHS)和肝肾阴虚证(LKYDS)。通过微阵列和实时 RT-PCR 分析了 35 例 LGDHS、24 例 LKYDS 和 21 例健康对照(Ctrl)CHB 患者的血清样本。建立了接收者操作特征(ROC)曲线,以评估血清 miRNA 区分 LGDHS 和 LKYDS 的水平。使用 TargetScan 预测 miRNA 的靶基因。使用 DAVID 工具分析基因本体论(GO)和途径。结果表明,LGDHS 和 LKYDS 之间有 22 个 miRNA 表达差异(倍数变化>2.0,P<0.01)。与 LKYDS 和 Ctrl 相比,LGDHS CHB 患者的循环 miR-583 和 miR-663 明显更高(P<0.001)。ROC 曲线分析表明,miR-583 和 miR-663 足以区分 LGDHS 和 LKYDS。途径富集分析表明,miR-583 的 354 个假定靶标和 miR-663 的 68 个假定靶标主要参与轴突导向、神经营养素和 MAPK 信号通路。miR-583 和 miR-663 可能是 CHB 证分化的潜在标志物。