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tRNA-derived fragments are altered in diabetes
N Ng1, H A Y Gibriel2, L Halang2
1Department of Diabetes and Endocrinology, Mater Misericordiae University Hospital, Dublin 7, Ireland.
Diabetic Medicine : a Journal of the British Diabetic Association
|November 7, 2023
Summary
Serum transfer RNA-derived fragments (tiRNAs) show promise as biomarkers for diabetes. Specifically, 5'ValCAC levels were lower in Maternally Inherited Diabetes and Deafness (MIDD) and type 2 diabetes, aiding in diagnosis.
Area of Science:
- Molecular Biology
- Genetics
- Biochemistry
Background:
- Maternally Inherited Diabetes and Deafness (MIDD) is a rare, adult-onset diabetes with a variable phenotype, making diagnosis challenging.
- Transfer RNA-derived small fragments (tiRNAs) are emerging non-coding RNAs with potential as serum biomarkers due to their stability and detectability.
Purpose of the Study:
- To investigate serum levels of tiRNA 5'ValCAC and miR-23b-3p in patients with MIDD, type 1 diabetes, and type 2 diabetes compared to healthy controls.
- To evaluate the diagnostic potential of these tiRNAs, individually and in combination, for differentiating MIDD from other diabetes types.
Main Methods:
- Small RNA sequencing was used to identify relevant tiRNAs.
- Serum samples from healthy controls, type 1 diabetes, type 2 diabetes, and MIDD subjects were analyzed for tiRNA 5'ValCAC and miR-23b-3p levels.
- Receiver Operating Characteristic (ROC) analysis was performed to assess biomarker potential.
Main Results:
- Serum levels of tiRNA 5'ValCAC were significantly reduced in MIDD and type 2 diabetes subjects compared to controls.
- Serum levels of miR-23b-3p were elevated in type 2 diabetes subjects compared to all other groups.
- The combination of 5'ValCAC and miR-23b-3p demonstrated excellent discriminatory power, particularly in separating MIDD from type 2 diabetes.
Conclusions:
- This study is the first to report altered serum tiRNA levels in diabetes patients.
- Combined measurement of serum 5'ValCAC and miR-23b-3p shows potential as a novel biomarker strategy for distinguishing MIDD from type 2 diabetes.
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