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Circulating MicroRNAs predict glycemic improvement and response to a behavioral intervention
Elena Flowers1,2, Isabel Elaine Allen3, Alka M Kanaya3,4
1Department of Physiological Nursing, University of California, San Francisco, 2 Koret Way, #605L, CA, 94143-0610, San Francisco, USA. elena.flowers@ucsf.edu.
Biomarker Research
|August 24, 2021
Summary
Circulating microRNAs significantly predict changes in fasting blood glucose over 12 months in individuals with prediabetes. This finding offers new insights into type 2 diabetes risk and intervention responses.
Area of Science:
- Endocrinology
- Molecular Biology
- Metabolic Diseases
Background:
- MicroRNAs are implicated as potential regulators of type 2 diabetes risk.
- Prediabetes is a critical stage for intervention to prevent progression to type 2 diabetes.
Purpose of the Study:
- To investigate if circulating microRNAs can predict improvements in fasting blood glucose over a 12-month period.
- To identify specific microRNAs associated with changes in fasting blood glucose in prediabetic individuals.
Main Methods:
- Secondary analysis of 82 participants from a prior restorative yoga trial for prediabetes.
- Circulating microRNAs were quantified using a flow cytometry miRNA assay.
- Linear models were employed to identify microRNA predictors of fasting blood glucose levels and changes.
Main Results:
- Subsets of microRNAs significantly predicted both final fasting blood glucose (R²=0.754) and changes in fasting blood glucose (R²=0.731) over 12 months (p<0.001).
- Three specific microRNAs (let-7c, miR-363, miR-374b) were significant predictors in the control group, but no significant intervention group interaction was observed.
Conclusions:
- Circulating microRNAs serve as significant predictors of fasting blood glucose in individuals with prediabetes.
- Several identified microRNAs have prior associations with type 2 diabetes risk.
- This longitudinal study provides novel insights into microRNA roles in glucose regulation and response to interventions.
