Hsa_circRNA_405498 and hsa_circRNA_100033 Serve as Potential Biomarkers for Differential Diagnosis of Type 1 Diabetes
Authors' conclusion
Our study demonstrated that hsa_circRNA_405498 and hsa_circRNA_100033 are promising novel differential diagnostic biomarkers for T1D.
Study context
- Population
- Patients with T1D, T2D and latent autoimmune diabetes in adults (LADA), and controls; discovery n = 6 each, validation 20 T1D and 20 controlslarger cohort
- Participants
- 457 patients
- Comparison
- circRNA-based combination model distinguishing T1D from LADA, T2D and controls
- Outcome
- AUC of combination model (2 circRNAs + clinical parameters) for distinguishing T1D
Methodological detailsmicroarray discovery cohort, qRT-PCR validation cohort, logistic least absolute shrinkage and selection operator (LASSO) regression model
- Microarray discovery cohort
- qRT-PCR validation cohort
- Logistic LASSO regression model
Performance
As reported in the abstract
AUC
0.915
T1D vs LADA
AUC
0.993
T1D vs T2D
AUC
0.992
T1D vs Controls
Further findings
| Outcome | P value |
|---|---|
| hsa_circRNA_405498 and hsa_circRNA_100033 levels, T1D vs controlsSignificantly downregulated in T1D | both P < .05 |
Differentially expressed circRNAs in T1D vs controls (microarray)
- Differentially expressed circular transcripts
- 110
- Upregulated
- 53
- Downregulated
- 57
Expression of the 2 circRNAs across groups
- Sequential downregulation from controls, T2D, LADA, to T1D
- P < 0.05
Original publication
Hsa_circRNA_405498 and hsa_circRNA_100033 Serve as Potential Biomarkers for Differential Diagnosis of Type 1 Diabetes. J Clin Endocrinol Metab. Published 29 December 2023. doi:10. 1210/ clinem/ dgad761
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