Pathology, research and practice · 2024
Effects of dietary curcumin on gene expression: An analysis of transcriptomic data in mice.
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Mahjoubin-Tehran Maryam, Hasan Ammar, Eid Ali H, Almahmeed Wael, Kesharwani Prashant, Butler Alexandra E, Jamialahmadi Tannaz, Sahebkar Amirhossein
Аннотация
BACKGROUND: Curcumin, a ubiquitous polyphenol in turmeric, possesses many anti-cancer and anti-inflammatory properties. These therapeutic effects are largely resultant of curcumin's ability to modulate global gene expression. Bioinformatics-based approaches for analyzing differential gene expression are effective tools in gaining a more profound understanding of the underlying mechanisms of action.
AIM: In this study, we aimed to identify key genes that were differentially regulated by curcumin treatment of mice.
METHODS: We downloaded GSE10684 and GSE13705 microarray profiles from the GEO database. Differentially expressed genes were identified and compared in both data sets. Twenty-seven genes that are significantly differentially regulated in both datasets were considered as key genes.
RESULTS: Gene ontology (GO) enrichment indicates these key genes were mostly enriched in GO Process of regulation of immune response and immune system process. The KEGG pathways of Cytokine-cytokine receptor interaction and TISSUES of Immune system were the top enriched terms of key genes base on strength and false discovery rate. The protein-protein interactions were analyzed by the STRING. PPI clustering showed that cluster 1 with Csf1, Cxcl16, Cxcr3, Fas, Il7r, Rassf2, and Rp2h was the most significant cluster. GO enrichment analysis for this cluster also showed the roles of these genes in immune system regulation.
CONCLUSIONS: Overall, the microarray datasets to identify the key genes and the related pathways which were affected by curcumin treatments show that curcumin has a significant impact on immune system regulation through the modulation of gene expression.
AIM: In this study, we aimed to identify key genes that were differentially regulated by curcumin treatment of mice.
METHODS: We downloaded GSE10684 and GSE13705 microarray profiles from the GEO database. Differentially expressed genes were identified and compared in both data sets. Twenty-seven genes that are significantly differentially regulated in both datasets were considered as key genes.
RESULTS: Gene ontology (GO) enrichment indicates these key genes were mostly enriched in GO Process of regulation of immune response and immune system process. The KEGG pathways of Cytokine-cytokine receptor interaction and TISSUES of Immune system were the top enriched terms of key genes base on strength and false discovery rate. The protein-protein interactions were analyzed by the STRING. PPI clustering showed that cluster 1 with Csf1, Cxcl16, Cxcr3, Fas, Il7r, Rassf2, and Rp2h was the most significant cluster. GO enrichment analysis for this cluster also showed the roles of these genes in immune system regulation.
CONCLUSIONS: Overall, the microarray datasets to identify the key genes and the related pathways which were affected by curcumin treatments show that curcumin has a significant impact on immune system regulation through the modulation of gene expression.