TY - JOUR
T1 - Effect of curcumin on aged Drosophila Melanogaster
T2 - A pathway prediction analysis
AU - Zhang, Zhi guo
AU - Niu, Xu yan
AU - LYU, Aiping
AU - Xiao, Gary Guishan
N1 - Publisher Copyright:
© 2013, Chinese Association of the Integration of Traditional and Western Medicine and Springer-Verlag Berlin Heidelberg.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2013/2
Y1 - 2013/2
N2 - Objective: 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.Methods: 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.Results: 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.Conclusion: 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.
AB - Objective: 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.Methods: 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.Results: 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.Conclusion: 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.
KW - anti-aging
KW - curcumin
KW - Drosophila Melanogaster
KW - pathway prediction analysis
KW - protein-protein interaction network
UR - http://www.scopus.com/inward/record.url?scp=84886925220&partnerID=8YFLogxK
U2 - 10.1007/s11655-013-1333-2
DO - 10.1007/s11655-013-1333-2
M3 - Article
C2 - 24155070
AN - SCOPUS:84886925220
SN - 1672-0415
VL - 21
SP - 115
EP - 122
JO - Chinese Journal of Integrative Medicine
JF - Chinese Journal of Integrative Medicine
IS - 2
ER -