Institute of Basic Theory, China Academy of Chinese Medical Sciences, Beijing, 100700, China,
Chin J Integr Med. 2015 Feb;21(2):115-22. doi: 10.1007/s11655-013-1333-2. Epub 2013 Oct 23.
To re-analyze the data published in order to explore plausible biological pathways that can be used to explain the anti-aging effect of curcumin.
Microarray data generated from other study aiming to investigate effect of curcumin on extending lifespan of Drosophila melanogaster were further used for pathway prediction analysis. The differentially expressed genes were identified by using GeneSpring GX with a criterion of 3.0-fold change. Two Cytoscape plugins including BisoGenet and molecular complex detection (MCODE) were used to establish the protein-protein interaction (PPI) network based upon differential genes in order to detect highly connected regions. The function annotation clustering tool of Database for Annotation, Visualization and Integrated Discovery (DAVID) was used for pathway analysis.
A total of 87 genes expressed differentially in D. melanogaster melanogaster treated with curcumin were identified, among which 50 were up-regulated significantly and 37 were remarkably down-regulated in D. melanogaster melanogaster treated with curcumin. Based upon these differential genes, PPI network was constructed with 1,082 nodes and 2,412 edges. Five highly connected regions in PPI networks were detected by MCODE algorithm, suggesting anti-aging effect of curcumin may be underlined through five different pathways including Notch signaling pathway, basal transcription factors, cell cycle regulation, ribosome, Wnt signaling pathway, and p53 pathway.
Genes and their associated pathways in D. melanogaster melanogaster treated with anti-aging agent curcumin were identified using PPI network and MCODE algorithm, suggesting that curcumin may be developed as an alternative therapeutic medicine for treating aging-associated diseases.
重新分析已发表的数据，以探索可用于解释姜黄素抗衰老作用的合理生物学途径。
进一步利用旨在研究姜黄素对延长黑腹果蝇寿命影响的其他研究生成的微阵列数据进行途径预测分析。使用 GeneSpring GX 软件，以 3.0 倍变化的标准识别差异表达基因。使用包括 BisoGenet 和分子复合物检测（MCODE）在内的两个 Cytoscape 插件，根据差异基因建立蛋白质-蛋白质相互作用（PPI）网络，以检测高度连接区域。使用数据库注释、可视化和综合发现（DAVID）的功能注释聚类工具进行途径分析。
在经姜黄素处理的黑腹果蝇中鉴定出总共 87 个差异表达基因，其中 50 个显著上调，37 个显著下调。基于这些差异基因，构建了包含 1082 个节点和 2412 个边的 PPI 网络。MCODE 算法检测到 PPI 网络中有 5 个高度连接的区域，提示姜黄素的抗衰老作用可能通过 Notch 信号通路、基础转录因子、细胞周期调控、核糖体、Wnt 信号通路和 p53 通路等 5 个不同途径发挥作用。
使用 PPI 网络和 MCODE 算法鉴定出经抗衰老剂姜黄素处理的黑腹果蝇中的基因及其相关途径，提示姜黄素可能被开发为治疗与衰老相关疾病的替代治疗药物。
