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Updated: Mar 8, 2026

Differentiated Mouse Adipocytes in Primary Culture: A Model of Insulin Resistance
Published on: February 17, 2023
Mechanistic interplay between ceramide and insulin resistance
Federico Reali1,2, Melissa J Morine1, Ozan Kahramanoğulları1,2
1The Microsoft Research - University of Trento Centre for Computational and Systems Biology, Rovereto, Italy.
This study models ceramide metabolism, revealing key enzymes in its synthesis and salvage pathways that influence insulin resistance. Findings highlight the role of these pathways in regulating glucose homeostasis in obesity and diabetes.
Area of Science:
- Biochemistry
- Metabolic Signaling
- Computational Biology
Background:
- Ceramides play a crucial role in glucose homeostasis and insulin signaling.
- The precise mechanisms governing ceramide metabolism and its impact on insulin resistance require further quantification.
Purpose of the Study:
- To develop and verify an extended computational model of C16:0 ceramide production.
- To investigate the role of ceramide metabolism in the development of insulin resistance in obese/diabetic murine macrophages.
Main Methods:
- Development of an extended mathematical model for ceramide synthesis (de novo and salvage pathways).
- Model verification using published data and independent experimental results.
- In silico simulations integrating transcriptomic data from obese/diabetic murine macrophages.
Main Results:
- The model accurately simulates ceramide production through both synthesis pathways.
- In silico experiments indicate insulin resistance emerges at later stages (16 weeks) in obese/diabetic models.
- Specific enzymes, including ceramide synthase, serine palmitoyltransferase, and dihydroceramide desaturase, are identified as critical regulators.
Conclusions:
- Ceramide metabolism, particularly de novo synthesis and salvage pathways, is pivotal in regulating insulin resistance.
- The identified enzymes are key targets for understanding and potentially treating insulin resistance in metabolic diseases.
- Computational modeling provides a valuable framework for dissecting complex metabolic interactions.
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