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| Status |
Public on Nov 04, 2021 |
| Title |
Dietary curcumin ameliorates perturbed insulin homeostasis in the diet-induced obese aged mice |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Although aging is a physiological process to which all organisms are subject, the presence of obesity and type 2 diabetes accelerates biological aging. Recent studies have demonstrated the causal relationships between dietary interventions suppressing obesity and type 2 diabetes and delaying the onset of age-related endocrine changes. Curcumin, a natural antioxidant, has putative therapeutic properties such as reinstating insulin sensitivity in obese mice. However, how curcumin contributes to maintaining insulin homeostasis in aged organisms largely remains unclear. Thus, the objective of this study is to examine the pleiotropic effect of dietary curcumin on insulin homeostasis in a diet-induced obese (DIO) aged mouse model. Aged (18-20 months old) male mice given a high-fat high-sugar diet supplemented with curcumin displayed a different metabolic phenotype compared to mice given a high-fat high-sugar diet alone. Furthermore, curcumin supplementation altered hepatic gene expression profiling, especially insulin signaling and senescence pathways. We then mechanistically investigated how curcumin functions to fine-tune insulin sensitivity. We found that curcumin supplementation increased hepatic insulin degrading enzyme (IDE) expression levels and preserved islet integrity, both of which are beneficial during aging. Our findings suggest that the multifaceted therapeutic potential of curcumin can be used as a protective agent for age-induced metabolic diseases.
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| Overall design |
Hepatic mRNA profiles of 83-91 weeks old NCD, NCD+CUR, HFHSD, HFHSD+CUR supplemented mice
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| Contributor(s) |
Lee SJ, Chandrasekran P, Mazucanti CH, O’Connell JF, Egan JM, Kim Y |
| Citation(s) |
35017319, 37371895 |
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| Submission date |
Nov 02, 2021 |
| Last update date |
Sep 11, 2023 |
| Contact name |
Prabha Chandrasekaran |
| Organization name |
National Institutes of Health
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| Lab |
Laboratory of Clinical Investigation
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| Street address |
251 Bayview Blvd
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| City |
Baltimore |
| State/province |
MD |
| ZIP/Postal code |
21224 |
| Country |
USA |
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| Platforms (1) |
| GPL24247 |
Illumina NovaSeq 6000 (Mus musculus) |
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| Samples (12)
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| Relations |
| BioProject |
PRJNA777064 |
| SRA |
SRP344181 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE186971_Lee_et_al_2021_RNAseq_DEGs.xlsx |
5.5 Mb |
(ftp)(http) |
XLSX |
| GSE186971_Lee_et_al_2021_RNAseq_FPKM.xlsx |
2.4 Mb |
(ftp)(http) |
XLSX |
| GSE186971_Lee_et_al_2021_RNAseq_GeneOntology.xlsx |
243.8 Kb |
(ftp)(http) |
XLSX |
| GSE186971_Lee_et_al_2021_RNAseq_IPA.xlsx |
88.0 Kb |
(ftp)(http) |
XLSX |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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