ArticleFrontiers in immunology2023
Identification of hsa_circRNA_100632 as a novel molecular biomarker for fulminant type 1 diabetes.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- From In Silico to Clinic: Harnessing Noncoding RNAs for Diabetes Research and Therapy, a Step toward ncRNA Precision.ACS pharmacology & translational science · 2026Review
- Circular RNA as emerging precision therapeutics: from RNA regulation to peptide translation.Precision clinical medicine · 2026Review
- Circular RNAs in diabetes mellitus and its complications: a systematic review and in silico analyses.Endocrine connections · 2025Article
- Next-generation microneedle platforms for site-specific management of diabetic neuropathy.Diabetology & metabolic syndrome · 2025Review
- Emerging role and clinical applications of circular RNAs in human diseases.Functional & integrative genomics · 2025Review
- Circular RNAs as Biomarkers in the Diagnosis of Human Diseases.Advances in experimental medicine and biology · 2025Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Circular RNAs (circRNAs) are associated with diabetes, but their role in fulminant type 1 diabetes (FT1D) is unclear. Thus, we characterized the role of circRNAs in FT1D. Research design and methods: CircRNA expression profiles were detected in peripheral blood mononuclear cells (PBMCs) of five FT1D patients and five controls using a circRNA microarray. An independent cohort comprised of 40 FT1D cases, 75 type 1 diabetes (T1D) cases, and 115 controls was used to verify the circRNAs using quantitative real-time polymerase chain reaction (qRT-PCR). Spearman's correlation analysis and receiver operating characteristic (ROC) curve analysis were performed to determine the clinical diagnostic capability of circRNAs. Bioinformatics was used to identify potential biological functions and circRNA-miRNA-mRNA interactions. Results: There were 13 upregulated and 13 downregulated circRNAs in PBMCs of patients with FT1D. Five circRNAs were further verified in a second cohort. Hsa_circRNA_100632 was significantly upregulated in the FT1D and T1D groups. Hsa_circRNA_100632 was differentiated between patients with FT1D and controls [area under the curve (AUC) 0.846; 95% CI 0.776-0.916; Conclusions: CircRNAs were aberrantly expressed in PBMCs of patients with FT1D, and hsa_circRNA_100632 may be a diagnostic marker of FT1D.
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