Skeletal muscle and intermuscular adipose tissue gene expression profiling identifies new biomarkers with prognostic significance for insulin resistance progression and intervention response
Authors' conclusion
Our results confirm that disease progression and successful intervention depend on individual gene expression states. We anticipate that our findings may lead to a better understanding and prediction of individual diabetes risk and may help to develop individualised intervention strategies.
Study context
- Population
- Humans with skeletal muscle and intermuscular adipose tissue (IMAT) gene expression profiles linked to fasting glucose and glucose infusion rate
- Outcome
- Gene expression associated with fasting glucose and glucose infusion rate
Methodological detailsgene expression profiling, multivariate regression, k-nearest neighbour clustering, validation in longitudinal intervention study
- Gene expression profiling
- Multivariate regression
- K-nearest neighbour clustering
- Validation in longitudinal intervention study
Main finding
As reported in the abstract
- Genes strongly associated with clinical measures clustered into three distinct expression patterns
- Predictive values for insulin resistance varied substantially between skeletal muscle and IMAT
- Individual gene expression-based classifications may differ from classifications based predominantly on clinical variables
- Of the 15 top candidate genes, ST3GAL2, AASS, ARF1 and transcription factor SIN3A are novel candidates for predicting refined diabetes risk and intervention response
Observational data: associations, not effects.
Original publication
Skeletal muscle and intermuscular adipose tissue gene expression profiling identifies new biomarkers with prognostic significance for insulin resistance progression and intervention response. Diabetologia. Published 15 February 2023. doi:10.
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