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| Status |
Public on Dec 07, 2015 |
| Title |
Insulin resistance in high fat diet mouse |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by array
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| Summary |
Recent discovery reveals HFD insult can cause insulin resistance very rapidly, but the underlying mechanism is still not well understood. We performed a short term experiment in a Diet Induced Insulin resistance mouse model.
Objective: Insulin resistance (IR) is one of the earliest predictors of type 2 diabetes. However, diagnosis of IR is limited. High fat fed mouse models provide key insights into IR. We hypothesized that early features of IR are associated with persistent changes in gene expression (GE) and endeavoured to (a) develop novel methods for improving signal:noise in analysis of human GE using mouse models; (b) identify a GE motif that accurately diagnoses IR in humans; and (c) identify novel biology associated with IR in humans. Methods: We integrated human muscle GE data with longitudinal mouse GE data and developed an unbiased three-level cross-species analysis platform (single-gene, gene-set and networks) to generate a gene expression motif (GEM) indicative of IR. A logistic regression classification model validated GEM in 3 independent human datasets (n =115). Results: This GEM of 93 genes substantially improved diagnosis of IR compared to routine clinical measures across multiple independent datasets. Individuals misclassified by GEM possessed other metabolic features raising the possibility that they represent a separate metabolic subclass. The GEM was enriched in pathways previously implicated in insulin action and revealed novel associations between β-catenin and Jak1 and IR. Functional analyses using small molecule inhibitors showed an important role for these proteins in insulin action. Conclusions: This study shows that systems approaches for identifying molecular signatures provides a powerful way to stratify individuals into discrete metabolic groups. Moreover, we speculate that the β-catenin pathway may represent a novel biomarker for IR in humans that warrant future investigation.
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| Overall design |
Comparison of gene expression in muscle tissue during High Fat Diet (HFD) time course (day 5 and day 42). Chow diet will serve as control for HFD. 4 samples per group serve as experimental replicates.
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| Contributor(s) |
Chaudhuri R, Modrusan Z |
| Citation(s) |
28725461 |
| |
| Submission date |
Sep 15, 2015 |
| Last update date |
Feb 11, 2019 |
| Contact name |
Rima Chaudhuri |
| E-mail(s) |
rima.chaudhuri@sydney.edu.au
|
| Organization name |
University of Sydney
|
| Department |
Charles Perkins Center
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| Street address |
D17 Johns Hopkins Drive
|
| City |
Camperdown, Sydney |
| State/province |
NSW |
| ZIP/Postal code |
2006 |
| Country |
Australia |
| |
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| Platforms (1) |
| GPL1261 |
[Mouse430_2] Affymetrix Mouse Genome 430 2.0 Array |
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| Samples (12)
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| This SubSeries is part of SuperSeries: |
| GSE73037 |
Cross-species Gene Expression Analysis Identifies a Novel Set of Genes Implicated in Human Insulin Sensitivity |
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| Relations |
| BioProject |
PRJNA296104 |
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